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United States Department of Agriculture Faunal Characteristics of the Service Southern Rocky of Rocky Research Station General Technical : Implications for Report RMRS-GTR-58 August 2000 Biodiversity Analysis and Assessment

Rosamonde R. Cook, Curtis H. Flather, and Kenneth R. Wilson Abstract

Cook, Rosamonde R.; Flather, Curtis H.; Wilson, Kenneth R. 2000. Faunal characteristics of the Southern of New Mexico: implications for biodiversity analysis and assessment. Gen. Tech. Rep. RMRS-GTR-58. Fort Collins, CO: U.S. Department of Agricul- ture, Forest Service, Rocky Mountain Research Station. 55 p.

To define the faunal context within which local and regional resource management decisions are made, conservation of biological diversity requires an understanding of regional occurrence patterns. Our study focused on the of New Mexico and included the San Juan, the Sangre de Cristo, and the Jemez Mountains. Across this region, we quantified patterns of species richness and faunal diversity based on reported and predicted occurrences for birds, , , amphibians, , and across this region. Specific hypotheses related to the origin and maintenance of observed diversity patterns were tested and interpreted based on their implication for biodiversity assessment and management. Our results suggest that species richness for any one of the taxonomic groups does not indicate species distributions of other taxa. For terrestrial vertebrates, variation in faunal differentiation among mountain ranges was associated more strongly with differences in dispersal ability than with differences in composition. Those butterflies classified as montane specialists exhibited a higher degree of faunal differentiation than did all other montane specialist species. This pattern may be caused by a high degree of habitat specificity among montane butterflies or incomplete field surveys. Because some species groups show high degrees of faunal differentiation, maintaining the uniqueness of these faunas across the region will require a broad geographic focus and cooperative management among various agencies and groups.

Keywords: faunal differentiation, faunal similarity, Southwest biodiversity, Jemez Mountains, regional biodiversity patterns, species diversity, beta diversity, vertebrates, butterflies

Authors

Rosamonde R. Cook is with the Department of Fishery and Wildlife Biology, State University, Fort Collins, CO 80523 Curtis H. Flather is with the Rocky Mountain Research Station, U.S. Forest Service, Fort Collins, CO 80526 Kenneth R. Wilson is with the Department of Fishery and Wildlife Biology, Colorado State University, Fort Collins, CO 80523

Cover photographs: Silver-bordered fritillary—Paul Opler; Jemez Mountains salamander—Cindy Ramotnik; Townsend’s big-eared bat—Alice Chung-MacCoubrey; Collared lizard—Cindy Ramotnik; Three-toed woodpecker—Brad Bergstrom; Southern redbelly dace—Garold Sneegas Faunal Characteristics of the Southern Rocky Mountains of New Mexico: Implications for Biodiversity Analysis and Assessment

Rosamonde R. Cook, Curtis H. Flather, and Kenneth R. Wilson

Contents

Introduction ...... 1 Hypotheses ...... 2

Methods ...... 5 Compiling Faunal Lists ...... 5 Classifying Species to Habitat Affinity Groups ...... 10 Measuring Faunal Differentiation ...... 11 Potential Sources of Error ...... 11

Results ...... 12 Patterns of Species Richness ...... 13 Patterns of Faunal Differentiation ...... 14

Discussion ...... 15 Predicted Versus Reported Species Occurrence...... 15 Patterns of Species Richness ...... 16 Patterns of Faunal Differentiation ...... 16 Implications for Biodiversity Assessment and Management ...... 17

Acknowledgments ...... 18

Literature Cited...... 19

Appendix A—Predicted and Reported Status of Species ...... 21

Appendix B—Presence/Absence Matrices ...... 34

Appendix C—Species Habitat Associations...... 46

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The regional focus of this study is the Southern Rocky Mountains of New Mexico (SRMNM) (figure 1), Introduction an area encompassing 3 major mountain ranges: the San Juan and Sangre de Cristo Mountains, which The preservation of biological diversity is a principal extend well into southern Colorado, and the Jemez goal of ecosystem management (Grumbine 1997), Mountains, which lie completely inside New Mexico which can only be realized through empirical studies to the south of the San Juans. Although they are tech- of community structure. In general, little is known nically considered a secondary range of the San Juan about the diversity of species and the structure of Mountains, the Jemez Mountains are characterized by communities within any given region. However, it is a discrete geological history and a marked degree of clear that most and populations are patchily topographic isolation (Self and others 1996). The distributed (Wiens 1976), and it is this patchiness that SRMNM form the southern boundary of the Rocky defines the spatial pattern of a region’s faunal diver- Mountain Biotic Province and are bordered by the sity. Critical to conserving biodiversity at the local Chihuahuan Province to the south and the Southwest level is understanding how diversity varies over re- Interior Province to the west (Reichenbacher and Brown gional scales, as processes operating at these scales 1994). Three aquatic provinces are also represented in influence local diversity patterns (Schluter and Ricklefs the SRMNM: the Southern Plains, Pecos, and Rio Bravo 1993; Edwards and others 1994). (Maxwell and others 1995, modified by Ricketts and

San Juan Mountains

Sangre de Cristo Mountains

N

Jemez Mountains

Elevation in meters 3500 - 4100 3100 - 3499 10 0 10 20 Kilometers 2500 - 3099 2200 - 2499

Figure 1—Mountain ranges of the Southern Rocky Mountains of New Mexico. Boundaries represent the 2200 m contour from the U.S. Geological Survey’s 1:100,000 scale digital elevation model for New Mexico.

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 1 others 1999). Portions of 4 major river basins including A comprehensive assessment of biodiversity would the Chama, , Pecos, and Canadian drain the include genetic, species, community, and landscape region (figure 2). The geographic convergence of components. In this study, we focused on patterns of these terrestrial and aquatic provinces undoubtedly diversity at the species and community levels. Al- accounts for the large diversity of plant and though abundance patterns are important to under- species present in this region. standing biodiversity within a region, our analysis A large proportion of forest land in the SRMNM is was restricted to distributional (i.e., presence/absence) administered by the Carson and Santa Fe National data, which were widely available for the taxa exam- (figure 3). At the regional level, conservation of ined. These included all terrestrial and aquatic verte- biological diversity will likely require the cooperation brates, and 2 superfamilies of butterflies, the of different landowners and local jurisdictions as ge- Hesperioidea and Papilionoidea. From a bioregional ography and species distributions rarely coincide with perspective, this analysis would have been more com- human boundaries. Ecosystem management within plete if it included Colorado portions of the San Juan and among national forests must account for faunal and Sangre de Cristo Mountains. However, at the time differences that may exist within similar habitat types of our study sufficient species distributional data were and structures. Thus, knowledge of faunal diversity unavailable for such an analysis. within and among mountain ranges will help establish the faunistic context for management of forest lands Hypotheses within the SRMNM. The goals of this study were to: 1) document the diversity of the native vertebrate At a regional level, species diversity is determined and faunas within the SRMNM; by 2 components: 1) the number of species that occur 2) quantify patterns of faunal diversity in this region; at a local level within habitat patches (referred to as 3) test hypotheses related to the origin and mainte- alpha diversity) and 2) differences in faunal composi- nance of species diversity patterns; tion that occur among patches (referred to as beta 4) assess the use of faunal similarity/differentiation diversity) (Whittaker1960). We define the local level as indices as a basis for biodiversity management that of a mountain range. Elevational range is an decisions in general; and important determinant of species richness within 5) propose considerations for management of this mountain systems (Bowers and McLaughlin 1982) diversity. because of its influence on local climatic conditions.

Streams and Rivers Hydrologic units Chama River Canadian River

P ecos River

Rio Grande

N

Figure 2—Streams and 8-digit hydrologic units in the Southern Rocky Mountains of New Mexico. Adapted from the U.S. Geological Survey’s 1:100,000-scale digital line graphcoverages for New Mexico.

2 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 N

Carson National Forest

Figure 3—National forest boundaries in the Southern Rocky Mountains of New Mexico. Adapted from the landown- ership digital line coverage developed by the New Mexico Gap Analysis Project (Thompson and others 1996). Bold boundaries delineate the 3 mountain ranges shown in figure 1.

Extreme elevational variation, particularly in the Sangre interspecific interactions, temperature tolerances, and de Cristo and Jemez Mountains, produces strong soil conditions also influence species distributions and patterns of vertical zonation of vegetation and patterns of habitat occupancy, although probably at faunal communities over relatively short distances smaller scales. Frequency of dispersal is influenced by (e.g., Lowe 1964; Whittaker and Niering 1965). Typi- biological characteristics of species, such as mobility cally, zonation proceeds from arid and and tolerance to stress, and the interaction of these desert scrub in the valleys and lowlands, to open characteristics with features of the landscape, such as juniper (Juniperus spp.) , pinyon (Pinus spp.) distance between suitable habitats and the ability of -juniper woodland, ponderosa pine () the intervening environment to act as a barrier to forest, mixed conifer and aspen (Populus tremuloides), dispersal. Because similar habitat types are present in and subalpine conifer forest. Alpine is present all mountain ranges, except alpine tundra, and most to a very limited extent only on the highest peaks in the species occupy a variety of habitats (see below), we Sangre de Cristo Mountains. At a landscape level, suspect that dispersal ability and isolation of habitats vertical zonation produces patchiness in the distribu- are the most important determinants of faunal differ- tions of major vegetation types (figure 4), and their entiation in the SRMNM. associated faunas. The taxa we examine in this report probably differ Over sufficiently large spatial scales, faunal dif- significantly in dispersal ability. Birds and bats are ferentiation results from an absence of suitable habi- undoubtedly better dispersers than non-volant spe- tats within patches and a lack of dispersal among cies, although some bird species may not fly far through patches containing suitable habitat. Factors such as unsuitable habitat (Desrochers and Hannon 1997).

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 3 N

Alpine Tundra Montane Woodland, Grassland, Scrub Foothill and Valley Grassland Rocky Mountain Alpine Graminoid Tundra Upper Montane Open Conifer Woodland Short-grass Rocky Mountain Alpine Forb Tundra Rocky Mountain Montane Deciduous Scrub Mid-grass Rocky Mountain Subalpine and Montane Grassland Great Basin Foothill-Piedmont Grassland Subalpine Coniferous Forest Great Basin Lowland/Swale Grassland Subalpine Broadleaf Forest (Aspen) Foothill and Madrean Woodland Grassland Rocky Mountain/Great Basin Closed Conifer Woodland Montane Coniferous Forest Rocky Mountain/Great Basin Open Conifer Woodland Southwest and Plains Forest/Shrub Wetland Rocky Mtn. Lower Montane Conifer Forest Madrean Open Oak Woodland Urban and Irrigated Agriculture Rocky Mtn. Upper Montane Conifer Forest Riverine/Lacustrine Desert Scrub Basin/Playa Great Basin Microphyllous Desert Scrub Great Basin Broadleaf Deciduous Desert Scrub

Figure 4—Major vegetation types of the Southern Rocky Mountains of New Mexico. Adapted from the 1:100,000-scale land cover map of New Mexico developed by the New Mexico Gap Analysis Project (Thompson and others 1996). Bold boundaries delineate the 3 mountain ranges shown in figure 1.

Terrestrial mammals are probably more mobile than to these habitats (species we define below as montane reptiles as a group, and in general, reptiles and mam- specialists), the presence of unsuitable (woodland mals are more tolerant of arid environments than and lowland) habitat in the middle and lower eleva- amphibians. Therefore, with respect to ability to dis- tions can pose a significant barrier to dispersal be- perse over land, we might assume that taxa would tween mountain ranges (Patterson 1984; Wilcox and tend to order as: birds and bats > mammals > reptiles others 1986; DeBano and others 1995). Only 3 taxa— > amphibians. It is difficult to compare butterflies as a birds, non-volant mammals, and butterflies—have single group because some species are very sedentary more than 2 representatives of montane specialist while others migrate over large distances (Cary and species in the SRMNM. Patterson (1984) and Patterson Holland unpublished report). We do not try to distin- and Atmar (1986) have suggested very low rates of guish among species in dispersal characteristics in this dispersal by montane mammals among mountain report. ranges in the Southwest, over a region that encom- Montane habitats in general exhibit the highest passes the SRMNM. degrees of habitat fragmentation at the landscape Montane species that also use woodland and low- level in the SRMNM (figure 4). For species restricted land habitats (species defined as habitat generalists

4 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 below) face fewer restrictions on movement, although Predicted Occurrence large rivers such as the Chama and Rio Grande can pose a significant barrier to dispersal for many non- Digital maps of predicted occurrence were obtained volant terrestrial species. Among habitat generalists, from the New Mexico Gap Analysis database (Thomp- patterns of differentiation may be influenced mainly son and others 1996). Gap Analysis uses geographic by the innate dispersal abilities of the species in a information systems (GIS) to model the predicted oc- taxonomic group, and to a lesser degree by the distri- currence of terrestrial vertebrates using land cover bution of habitats in the region. maps of vegetation developed from Landsat Thematic Conversely, dispersal by aquatic species should be Mapper imagery, along with species-habitat associa- strongly favored by the interconnection of habitat, tions that are defined by the vegetation types repre- especially within the Chama and Rio Grande River sented on the maps (Scott and others 1993). The vegeta- basins (figure 2), which link aquatic habitats of all 3 tion classification system used by the New Mexico Gap mountain ranges in the SRMNM. Although dams and Analysis Project was developed by Muldavin and diversions can interfere with dispersal and migratory others (1996) for the New Mexico Natural Heritage movement of , they are less likely to influence the Program following the UNESCO framework (Driscoll distributions of amphibians and aquatic mammals and others 1984). The classification is hierarchical, and reptiles. The distributions of aquatic birds should with 7 levels. Species associations were defined mostly be influenced only by the presence or absence of suit- at the fourth level, which corresponds with series able habitat. groups (i.e., sets of morphological, environmental, or From the discussion above, we can make several floristically related cover types). Vegetation series predictions related to patterns of biodiversity in the groups mapped for the study area are described in SRMNM. Within a taxon, we predict the highest de- table 1. Vegetation classes mapped in figure 4 are grees of faunal differentiation to occur among mon- second and third levels in the hierarchy. tane specialists, the lowest among aquatic specialists, Maps of predicted occurrence (e.g., figure 5A) were and intermediate levels among habitat generalists. created by intersecting each species’ geographic range, Within habitat associations groups, we predict a nega- defined by the boundaries of U.S. Geological Survey tive relationship between dispersal ability and degree (USGS) 8-digit hydrologic units (Seaber and others of differentiation. We can formalize these predictions 1987), with the distribution of its associated habitat as 3 testable hypotheses: types (series group vegetation classes). Elevational range and aquatic features were also used if these were 1) Within taxa (e.g., mammals), differentiation of important predictors of occurrence. We generated spe- montane specialists is high compared to aquatic cies lists for each mountain range by overlaying these specialists and habitat generalists. maps with the boundaries of the 3 mountain ranges 2) Within taxa, differentiation of aquatic specialists (figure 1) using ArcView 3.1 GIS software (Environ- is low compared to montane specialists and habi- mental Systems Research Institute, Inc. 1996) and tabu- tat generalists. lating presence/absence in each range (appendix B). 3) Across taxa, differentiation is negatively corre- lated with dispersal ability, (i.e., differentiation of Reported Occurrence amphibians > reptiles > mammals > birds and bats). Species lists were generated from reported occur- rences as noted in the sources listed in table 2. The majority of data on mammals (Findley and others 1975), amphibians and reptiles (Degenhardt and oth- ers 1996), fishes (Sublette and others 1990), and butter- Methods flies (Toliver and others 1994) were compiled by the listed authors from specimen collections held in U.S. museums and private collections. We supplemented Compiling Faunal Lists these data with a small number of field accounts from biologists familiar with species distributions in the Two types of species distributional data were avail- region, and with reports from scientific journals com- able for this study: maps of predicted occurrence, and piled after a keyword search of several major biblio- site-specific accounts of known or reported occur- graphic indices including Biological Abstracts, Zoo- rences. Appendix A1 through A6 lists all vertebrate logical Review, and Wildlife Worldwide. and butterfly species predicted and reported from the We plotted all records of occurrence for birds, mam- study area using the following methods. mals, fishes, and butterflies in ArcView using USGS

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 5 SE)

±

7.8%

7.1%

7.8%

7.0%

6.3%

5.7%

4.9%

7.9%

±

±

±

±

±

±

±

0.0%

±

±

52% 42%

23%

64%

62%

64%

0%

39%

17%

acent to the mapped

ers 1996). Vegetation

ts percent agreement (

Description Accuracy(%)

species. Occurs at the highest elevations in the Sangre de Cristo Mountains

in the Sangre de Cristo Mountains

Closed canopied forest dominated by

Closed canopied forests dominated by

evergreen needle-leaved, conical-crowned conifers

cold deciduous, broadleaf trees canopies Forests dominated by rounded crown conifers which generally form closed

conifers which form open to very open canopies. Only mapped at the highest elevations of the Shrublands of mid to lower elevations of on sites that have been burned

mountainous and hilly regions. Common

Grasslands distributed among the highest

)

) and species. Occurs at the highest elevations

), Forests dominated by conical crowned

)

)

) and Woodlands dominated by rounded crowned

)

)

)

) and Alpine Tundra vegetation dominated by grass-like

)

), Sierra Blanca Tundra vegetation dominated by forb

, and Blue spruce Quercus

) or mountain tops in the state

). Engelman spruce Cercocarpus

spp.) and Thurber Picea engelmanii ) and Mountain Abies lasiocarpa Pinus ponderosa Pinus aristata

) Geum rossii P. flexilis ) Pseudotsuga menziesii Potentilla Sierra-blancae

Paronychia pulvinata Abies concolor) ),Gambel oak (

), andWavyleaf oak Festuca thurberi F. arizonica Kobresia myosuroides Populus tremuloides

Picea pungens Q. undulatus

sedge (

co-dominants northern Sangre de Cristo Mountains

fescue ( montanus gambelii muhly (

2900-3600 Engelman spruce (

1800-2750 Mountain mahogany (

Alpine Graminoid Tundra

Tundra Nailwort (

Alpine Forb cinquefoil (

Forest and Subalpine fir (

Broadleaf Forest

Conifer Forest (

Upper Montane White fir (

Open Conifer Limber pine ( Lower Montane conifers which form open to closed canopies Conifer Forest

Woodland and Douglas-fir can also occur as canopy

Scrub (

Deciduous

Montane

Montane Grassland Subalpine and 3000 fescue (

1112 Rocky Mountain >3500 Alpine avens (

2111 Subalpine Conifer

2112 Subalpine 2750-3600 Aspen (

2121 Rocky Mountain 2400-30002122 Rocky Mountain Douglas fir ( 2000-2750 Ponderosa pine (

3111 Upper Montane 2600-3200 Bristlecone pine (

4111 Rocky Mountain

5110 Rocky Mountain usually> Mixed sedge (

Table 1—Description and major cover types of vegetation present in the Southern Rocky Mountains of New Mexico (Muldavin and oth classes are roughly equivalent to groups of series-level descriptors developed by Driscoll and others (1984). Accuracy represen

between mapped vegetation type and vegetation observed on the ground, whether observed vegetation is primary, secondary, or adj vegetation type (Thompson and others 1996). Habitat Code Class Elevation (m) Major cover types Montane 1111 Rocky Mountain >3500 Rock sedge (

6 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 5.8%

6.0%

6.6%

6.2%

6.5%

6.0%

4.8%

4.6%

6.4%

±

±

±

±

±

±

±

±

±

31%

31%

19%

34%

31%

35%

16%

18%

29%

Description Accuracy(%)

Woodlands dominated by rounded crown,

Woodlands dominated by rounded crown,

low-statured conifers that form moderately open to very open canopies (25% to 50% canopy cover) canopy cover)

moderately open to very open canopies (25-50% canopy cover). Within the study area, this class occurs only in the southern Jemez Mountains

drought and cold tolerant shrubs

tolerant broadleaf deciduous shrubs

Shrublands dominated by drought and cold-

less than a half meter tall

one half and one meter tall but in most of the

study area, these are grazed much lower

and piedmont slopes

Grasses of swales and mesa bottoms

)

), Grasslands dominated by grasses between

)

)

)

) and Grasslands dominated by grasses usually

) with Shrublands dominated by microphyllous

Stipa ) and Sand

), Arizona Woodlands dominated by rounded crown,

) Chrysothamnus

)

), and Emory broadleaf evergreen oaks that form

) and Indian Grasslands of mountain foothills, mesa tops

Atriplex canescens

) and Bigelow sage

), Little bluestem

Juniperus Bouteloua curtipenula Sporobolus airoides

)

), Western wheatgrass B. hirsuta Pinus edulis )

A. nova )

Q. arizonica ) Sporobolus cryptandrus Quercus grisea Artemisia tridentata hymenoides Hilaria jamesii

Q. emoryi

A. begelovii Pascopyrun smithii Schizachyrium scoparium

Hairy grama (

ricegrass ( New Mexico needlegrass (

( ( monosperma nauseosus neomexicanus dropseed (

1400-2300 Gray oak (

1300-2300 Blue grama (

1300-2600 Sideoats grama (

Mountain/Great

Woodland white oak (

Basin ClosedBasin Open closed to moderately open canopies (>60% Conifer Woodland Conifer Woodland (Savanna)

(Encinal) oak (

Deciduous Desert Broadleaf and Rubber rabbitbrush (

Scrub

Foothill-Piedmont

Grassland

Lowland/Swale

3222 Madrean Open Oak

3122 Rocky 1600-2300 Oneseed juniper (

4212 Great Basin 1200-2400 Fourwing saltbrush (

5121 Short Grass Steppe

5122 Mid-grass Prairie

5212 Great Basin 1200-2400 Alkali sacaton (

5211 Great Basin 1500-2400 Galleta (

Cont’d.

Table 1

Habitat Code Class Elevation (m) Major cover types

Wood- 3121 Rocky 1600-2600 Pinyon pine (

lands Mountain/Great low-statured conifers that form moderately

lands/ Microphyllous Black sage (

Grass- 4211 Great Basin 1750-2400 Big sage ( Desert Desert Scrub ( Scrub

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 7 —

7.6%

5.3%

5.0%

10.3%

±

±

±

±

33%

31%

45%

42%

Description Accuracy(%)

and piedmont slopes. Occurs only south of the Jemez Mountains within the study area primarily associated with the interior Vegetation dominated by woody species

Southwest and Plains biogeographic provinces

vegetation in river valleys, or plowed fields classified as barren Rivers, stream, and lakes. Streams and

rivers less then about 90 feet in width may study area not be identified

Mapped only on the east side of Sangre de Cristo Mountains in the

)

)

) and Grasslands of mountain foothills, mesa tops

) with

Juglans

Celtis

) and

spp.) as major

), Plains cottonwood

Sporobolus flexuosus ). Shrub Wetland: Tamarix Salix exigua Elaeagnus angustifolia Bouteloua eripoda Baccharis glutinosa

), Arizona walnut (

), and Arizona sycamore

), Neatleaf hackberry (

Populus fremontii P. sargentii Platanus wrightii

Mesa dropseed (

( (

Coyote willow ( Seepwillow (

and Saltcedar ( major reticulata Russian olive ( exotic cover types

——

Grassland

Shrub Wetland (

Desert Grassland

Plains Forested/

Agriculture

5221 Chihuahuan 1300-1700 Black grama (

9120 Irrigated — — May contain inclusions of native riparian

9410 Riverine/Lacustrine

9420 Basin/Playa — — Drainage basins, playas, stock tanks.

Table 1 Cont’d.

Habitat Code Class Elevation (m) Major cover types

Aquatic 6120 Southwest and 900-2100 Forested Wetland: Fremont cottonwood

8 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 Figure 5—Predicted (a) and reported (b) distribution maps for the little brown bat (Myotis lucifugus) in the Southern Rocky Mountains of New Mexico. Predicted distribution from the New Mexico Gap Analysis Project (Thompson and others 1996). Reported locations from Findley and others (1975). Bold boundaries delineate the 3 mountain ranges shown in figure 1.

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 9 topographic maps at a 1:100,000 scale. This procedure species’ range if the species had been reported any- produced maps of georeferenced point occurrences where within the unit, except where accounts of re- for each species (e.g., figure 5B), which we combined to ported occurrence were made only at the edge of a produce distributional coverages for whole taxonomic unit. The range maps that resulted from this initial groups. Point maps for amphibians and reptiles were effort were modified (sometimes greatly) for many provided by Thompson and others (1996) based on species following review by wildlife biologists with data from Degenhardt and others (1996). If available, extensive knowledge of the New Mexican fauna (Th- each record of occurrence (corresponding with a point ompson and others 1996). in the coverage) contains county of occurrence, site description, date of collection or observation, collec- Classifying Species to Habitat Affinity tor/observer identification, data source, and location Groups of voucher specimens. Species’ presence/absence by mountain range (appendix B) was generated from the point coverages using spatial query operations in To test the hypotheses outlined above, we assigned ArcView. species to 1 of 3 habitat affinity groups: montane A total of 263 birds, 97 mammals, 49 reptiles, 13 specialist, habitat generalist, and aquatic specialist. amphibians, 12 fish, and 182 species of butterflies were We assigned vertebrates to these groups using infor- predicted or reported to occur in the SRMNM (appen- mation on species’ associations with vegetation types dix A1-A-6). Additional species of fish have been from the New Mexico Gap Analysis Project (Thomp- reported from the primary reaches of the Rio Grande son and others 1996) (appendix C). Butterflies were and Chama Rivers (Sublette and others 1990) but are assigned to groups using information provided by excluded from our species list and analysis because Cary and Holland (unpublished report). Within the these rivers do not enter the mountains. study area, species only showed notable specialization Predicted and reported occurrences of species are at the level of major physiognomic classes (e.g., forest, not completely independent. Species’ geographic woodland, grassland, and desert scrub) and the major- ranges, used to model predicted occurrence, were ity of species are broad generalists over these. Only the defined initially by the point data contained in some of American bittern (Botaurus lentiginosus), American the references listed in table 2 (Thompson and others dipper (Cinclus mexicanus), Sora (Porzana carolina), water 1996). Hydrologic units were included as part of a shrew (Sorex palustris), mink (Mustela vison), slider

Table 2—Sources of reported species distributional data used in the analysis of faunal differentiation in the Southern Rocky Mountains of New Mexico study area.

Taxon Sources Birds North American Breeding Bird Survey (unpublished data) North American Bird Banding Laboratory (unpublished data) Museum of Southwestern Biology, Division of Birds (unpublished data) New Mexico Natural Heritage Program (unpublished data) Travis (1992) Pat Kennedy (unpublished data)

Mammals Findley and others (1975) Hall (1981) Bogan and others (1996) Joan Morrison (unpublished data)

Amphibians and Reptiles Degenhardt and others (1997) New Mexico Department of Game and Fish (1998)

Fishes Sublette and others (1990)

Butterflies Holland and Carey (1996) Swengel and Opler (1997) Toliver and others (1994)

10 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 (Trachemys scripta), canyon treefrog (Hyla arenicolor), are equal to 1 for presence or 0 for absence of species and western toad (Bufo boreas) are associated with a j at sites i and m. Thus, Nc is equal to the sum of the single mapped habitat type. Montane specialists were number of species shared across all pairs of sites. defined as species restricted to one or more montane Note that a pair of sites only contributes to the sum habitats, defined as any vegetation type occurring when 1 or more species is present in both sites (i.e., above the pinyon-juniper woodland zone, beginning when Xij and Xmj both equal 1). Nc can be converted at about 2500 m in the SRMNM (Peet 1988) (see appen- to a standardized metric (D) to permit comparisons dix C). Habitat generalists were defined as species that among suites of species varying in richness or in use some combination of montane, woodland, and number of sites: lowland habitat types. These species may also use aquatic habitats, but are not restricted to them. Aquatic  NEN− ()  D = 100− cc 100 (2) specialists are defined as species associated entirely, or  Max() N E () N   cc−  nearly entirely, with open water, riparian forest, or wetland habitats. where E(Nc) is the expected value of Nc if species were randomly distributed among sites, and Max(Nc) is the N D Measuring Faunal Differentiation maximum value that c can take. is 0 when all faunas are equivalent in species composition or when smaller faunas always comprise subsets of larger faunas. D is The measurement of faunal differentiation often a positive value only when 1 or more pairs of sites each involves using indices to numerically capture the dif- contain species not present in the other site. D nor- ferences among the faunas of 2 or more habitat patches mally varies between 0 and 100, however it can exceed in a region (e.g., Whittaker 1960; Harrison and others 100 when species’ distributions are hyper-dispersed 1992). Understanding the physical and biological (i.e., where faunas at sites are more unique than ex- mechanisms that generate differentiation patterns in- pected under random distributions). Unlike many in- volves analysis of potential geo-spatial or ecological dices of similarity or differentiation, which are only covariates. For example, degree of differentiation has suitable for measuring differences between pairs of been shown in some cases to be correlated with dis- sites (e.g., Jaccard’s Index) (Magurran 1988), D can be tance between sampling sites (e.g., Flessa 1981; Stork applied to any number of sites. 1987; Harrison and others 1992). Numerous indices of similarity and differentiation have been applied to studies of biological association, Potential Sources of Error especially where large numbers of species are involved (see Wolda 1981; Shmida and Wilson 1984; and Delineating species’ geographic ranges or quantify- Magurran 1988 for reviews). Indices that use informa- ing patterns of habitat occupancy across a landscape is tion on presence/absence (i.e., data that can be dis- controversial and imprecise (Rapoport 1982). This played in matrix form with 1s representing presence imprecision is caused, in part, by the kinds of data and and 0s absence [e.g., appendix B]) differ in that some procedures used to estimate species distributions. emphasize similarities among faunas, while others Museum collections or observation records provide emphasize differences. Indices of faunal differentia- precise information on the location of any given sight- tion are generally more useful in testing hypotheses ing. However, these types of data can bias estimates of about controls on species distributions and are best species presence or absence because of unequal sam- used where potential causal factors may be isolated pling effort or because of errors in specimen or site (Schaeffer and Perry 1986). Since we were interested in identification. Furthermore, these data are composed faunal differentiation and potential biological of historic accounts of occurrence and can introduce covariates of variation in differentiation among taxa, error if species distributions have changed over time. we used an index (Nc) developed by Wright and Reeves Predicting species distributional patterns based on (1992) that maximizes faunal differences between knowledge of habitat requirements can help extrapo- mountain ranges: late occurrence into unsampled areas. However, while a species distribution can be predicted across its range K −1 K S regardless of the reporting frequency, we may lose NXXcijmj= ∑ ∑ ∑ (1) some accuracy due to errors in mapping vegetation i=1 mi=+1 j=1 and to limitations in our knowledge of the factors determining a species’ distribution (e.g., Verner and where K is the number of sites being compared and others 1986; VanHorne and Wiens 1991). Error rates S the total number of species among all sites. The X s associated with the vegetation map used by the New

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 11 Mexico Gap Analysis Project vary substantially among commission in lists of reported occurrence because the vegetation types, with agreement between mapped greatest source of uncertainty in these data probably vegetation types and vegetation observed on the arises from incomplete sampling of mountain ranges ground ranging from 0% to 64% for vegetation types in (e.g., see Grayson and Livingston 1993; Lawlor 1998) the study area (table 1). Species-habitat relationships In general, errors of omission will reduce estimates have not been determined for many obscure taxa (e.g., of local species richness and increase estimates of amphibians, bats, insectivorous mammals, and inver- faunal differentiation if different species are omitted tebrates). Even for well-studied groups, strong pat- from lists in different mountain ranges. Figure 5 illus- terns of habitat affinity can be clouded by numerous trates this point for the little brown bat. Alternatively, ecological factors (e.g., interspecific interactions, spa- errors of commission increase estimates of local spe- tial arrangement of habitat, and temporal dynamics) cies richness but may decrease estimates of faunal that are unrelated to vegetation characteristics. Fur- differentiation if many species are predicted to occur thermore, vegetation may be less important to many in more ranges than they actually do. We present species of small mammals and reptiles than are physi- measures of faunal differentiation for both types of cal features such as slope, substrate type, or soil data under the assumption that they bound actual structure. levels of faunal differentiation among the 3 mountain Given the uncertainty in both types of data, it is ranges. difficult to determine which more accurately repre- sents current species distributions. To a large degree, accuracy will depend on the spatial scale at which the data are analyzed (Thompson and others 1996). We are unaware of any studies that have attempted to validate Results the predictions made by the New Mexico Gap Analy- sis models at any scale. However, Edwards and others For most taxa, the majority of species predicted to (1996) compared predicted occurrence from the occur within the study area have also been reported as Gap Analysis Project with long-term species lists from occurring there (table 3). Only 8 species, including 7 8 national parks in Utah. Their results suggest that birds and 1 , have been reported but are not errors of commission (predicting a false occurrence of predicted to occur in the SRMNM. Of these, the yellow a species) outnumbered errors of omission (failing to mud turtle (Kinosternon flavescens) has only one record predict a true occurrence) for all 4 terrestrial vertebrate of occurrence in the region (in the Jemez Mountains) classes, and that total number of errors decreased with and this appears well outside of its normal distribution increasing park size. Likewise, we suspect that, at the in the state (Degenhardt and others 1996). Most likely, scale of our study, errors of commission will outnum- this occurrence is the result of accidental or intentional ber errors of omission in faunal lists from maps of introduction. Similarly, 4 of the 7 bird species, the predicted occurrence. This is because the spatial units black-chinned sparrow (Spizella atrogularis), clay-col- used to define species geographic ranges (8-digit ored sparrow (Spizella pallida), Bonaparte’s gull (Larus USGS hydrologic units) are large enough to encom- philadelphia), and the eastern meadowlark (Sturnella pass 2 or more mountain ranges, although a species magna) have only been reported once in the study area, may actually have been reported from fewer ranges. which suggests that these are unusual or accidental Errors of omission are likely to outnumber errors of occurrences in this region although not in the state.

Table 3—Comparison of predicted and reported numbers of species by taxonomic group for the Southern Rocky Mountains of New Mexico. “ND” indicates no data were available on predicted occurrence.

Number of species Birds Mammals Reptiles Amphibians Fishes Butterflies Reported and predicted 219 89 36 13 ND ND (83%) (94%) (73%) (100%) Reported not predicted 7010NDND (2%) (0%) (2%) 0% Predicted not reported 37 8 12 0 ND ND (15%) (6%) (24%) (0%) Total 263 97 49 13 12 182

12 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 By contrast, 57 species (37 birds, 8 mammals, and 12 lower faunal differentiation estimates (table 5) when reptiles) were predicted to occur in the SRMNM but compared to reported occurrence. Differences between have not been reported, according to the data sources values of D for predicted and reported occurrence reviewed in this study. All 8 mammals, and 9 of the 12 range from 0 to 118, with an average difference of 56. reptiles have mapped distributions that are only mar- ginal to the SRMNM. Five species, the desert shrew Patterns of Species Richness (Notiosorex crawfordi), Merriam’s kangaroo rat (Dipodomys merriami), rock pocket mouse ( Overall, the Sangre de Cristo Mountains supported intermedius), massasauga (Sistrurus catenatus), and the the largest number of terrestrial and aquatic vertebrates longnose (Rhinocheilus lecontei), reach the north- and butterflies combined (table 4). However, patterns of ern limits of their New Mexico distributions in this species richness across mountain ranges varies among region. By contrast, only 5 of the 37 bird species, Baird’s taxonomic groups, and to some degree between the two sparrow (Ammodramus bairdii), Chihuahuan raven (Cor- types of distributional data. Predicted numbers of birds vus cryptoleucus), grasshopper sparrow (Ammodramus and mammals were highest in the Sangre de Cristo savannarum), red-headed woodpecker (Melanerpes Mountains, while the largest numbers of reptiles and erythrocephalus), and upland sandpiper (Bartramia amphibians were predicted for the Jemez Mountains. longicauda), are marginal to the SRMNM. The others Reported numbers of birds were highest in the Jemez are predicted to occur widely throughout the region. Mountains, as were reptiles and amphibians, while the As we suspected, use of predicted occurrences re- largest numbers of mammals, fish, and butterflies were sulted in higher species richness estimates (table 4) and reported from the Sangre de Cristo Mountains.

Table 4—Numbers of predicted and reported species by habitat affinity group in the Southern Rocky Mountains of New Mexico. Italic numbers indicate the largest value within each group by each data type. “ND” indicates that no data were available.

Predicted Reported Sangre de Sangre de Taxon Habitat group Jemez San Juan Cristo Jemez San Juan Cristo Birds All species 240 230 243 169 160 161 Montane specialists 4 4 5 33 5 Habitat generalists 157 148 159 136 116 127 Aquatic specialists 79 78 79 30 41 29 Mammals All species 84 82 88 61 63 68 Montane specialists 9 11 11 710 11 Habitat generalists 70 67 71 52 50 54 Aquatic specialists 5 4 6 33 4 Reptiles All species 44 32 41 29 19 23 Montane specialists 0 0 0 0 0 0 Habitat generalists 39 29 34 25 17 20 Aquatic specialists 5 3 7423 Amphibians All species 12 8911 78 Montane specialists 11 0 11 0 Habitat generalists 7 56 7 45 Aquatic specialists 4 23 3 2 3 Fishes All species ND ND ND 7 8 12 Butterflies All species ND ND ND 147 100 157 Montane specialists ND ND ND 14 18 29 Habitat generalists ND ND ND 113 72 108 Aquatic specialists ND ND ND 6 4 8 All Taxa All species 405 326 412 428 360 436 Montane specialists 14 17 17 25 30 43 Habitat generalists 272 224 265 290 257 313 Aquatic specialists 94 87 132 58 50 66

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 13 Table 5—Measures of faunal differentiation for predicted and reported species presence/absence data for the Southern Rocky Mountains of New Mexico. S = number of species in each comparison. D = faunal differentiation (Eq. 2). Delta ( ∆ ) is the difference in predicted and reported D. D was not calculated for fewer than 3 species (indicated by “—”). “ND” indicates that no data were available.

Predicted Reported Taxon Habitat group SDSD∆ Birds Montane specialists 50500 Habitat generalists 161 27 153 69 42 Aquatic specialists 80 0 59 118 118 Mammals Montane specialists 11 0 11 0 0 Non-volant habitat generalists 58 42 52 87 45 Bats (all generalists) 16 0 15 78 78 Aquatic specialists 6 0 5 84 84 Reptiles Montane specialists 0 — 0 — — Habitat generalists 40 34 30 93 59 Aquatic specialists 8 47 7 122 75 Amphibians Montane specialists 2 — 2 — — Habitat generalists 70700 Aquatic specialists 4 0 4 114 114 Fishes All species ND ND 12 0 Butterflies Montane specialists ND ND 31 85 Habitat generalists ND ND 125 81 Aquatic specialists ND ND 9 61

Within habitat association groups, patterns of spe- appendix B. For predicted occurrence, montane mam- cies richness are similar to those of whole faunas mal faunas of the San Juan and Sangre de Cristo except for the reported occurrence of montane and Mountains were equivalent, while 2 species present in aquatic birds, aquatic reptiles, and generalist butter- these ranges, the heather vole (Phenacomys intermedius) flies. The maximum diversities of these groups oc- and snowshoe hare (Lepus americanus), were absent curred in mountain ranges other than those of all from the Jemez Mountains. These 2 species were also species combined. absent from our records of reported occurrence for the Jemez Mountains, along with the American marten Patterns of Faunal Differentiation (Martes americana) and the vole (Microtus pennsylvanicus), the latter of which was also not re- ported from the San Juan Mountains. All 5 montane Montane Specialists specialist bird species were predicted and reported to Contrary to our hypothesis, predicted and reported occur in the Sangre de Cristo Mountains. The white- occurrence of montane specialists indicated a com- tailed ptarmigan (Lagopus leucurus) was absent in pre- plete lack of faunal differentiation with D = 0 for birds dicted occurrence from the San Juan and Jemez Moun- and mammals (table 5). The small number of montane tains due to lack of suitable alpine habitat. The boreal amphibians (2 species), and the absence of montane owl (Aegolius funereus) was reported only from the reptiles in the SRMNM precluded involvement of Sangre de Cristo Mountains, although it was predicted these taxa in the comparison. For birds and mammals, to occur in all 3 ranges. Jemez species comprised a subset of the larger San Contrary to our results for birds and mammals, Juan and Sangre de Cristo faunas. That is, the San montane butterfly faunas exhibited a high degree of Juan and Sangre de Cristo Mountains contained all faunal differentiation (D = 85). Most of this is at- species of montane birds and mammals present in the tributable to differences between the Jemez and San Jemez Mountains plus additional species not present Juan faunas. Six species reported from the Jemez Moun- in the Jemez Mountains. These relationships are evi- tains were not reported from the San Juan Mountains, dent by examining the distributions of these taxa in and 7 species reported from the San Juans were not

14 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 reported from the Jemez Mountains. One species, the silver-bordered fritillary (Boloria selene), was reported only from the Jemez Mountains. Discussion

Aquatic Specialists A lack of faunal differentiation was observed in Predicted Versus Reported Species predicted occurrence of birds, mammals, and amphib- Occurrence ians and in reported occurrence of fish (table 5). For predicted occurrence, differentiation is lower in aquatic Extrapolating species occurrence into unsampled birds and mammals than habitat generalists of these areas based on models of habitat association have the taxa but equal to amphibians because generalist am- potential to overestimate species richness and under- phibians also lack differentiation. These results sup- estimate faunal differences between sites. By contrast, port in part, our second hypothesis, however differen- under-sampling populations where they actually oc- tiation of aquatic birds and mammals are equal, not cur, is likely to underestimate species richness and less than, those of montane specialists, which also overestimate faunal differences between sites. Two exhibited a lack of differentiation. lines of evidence suggest that both types of error By contrast, differentiation among aquatic special- influenced the data sets we examined. First, estimates ists in reported occurrence is higher than all other of species richness were higher and measures of faunal habitat affinity groups for all taxonomic groups except differentiation (Eq. 2) were lower using data on pre- butterflies and non-volant mammals. For all taxo- dicted versus reported species occurrence. Secondly, nomic groups (except fishes and butterflies), aquatic we predicted that errors of commission (false predic- specialists exhibited the largest differences in faunal tions in species occurrence) would be greater than differentiation between predicted and reported occur- errors of omission (failing to predict actual occur- rence, which suggests either a large number of unre- rences) in species lists derived from predicted species ported occurrences or substantial errors of commis- distributions. Errors of commission appear to be the sion in predicted occurrence. cause for most discrepancies in species lists of mam- mals and reptiles because the predicted distributions Habitat Generalists of most unreported species were only marginal to the study area. Species tend to become rare at the limits of Among habitat generalists, D varies from 0 (pre- their ranges, making predictions of occurrence more dicted and reported occurrence of amphibians) to 93 susceptible to error. However, for most of the 37 unre- (reported occurrence of reptiles) (table 5), and the ported bird species, discrepancies between predicted relationship between faunal differentiation and dis- and reported occurrence were probably due to under- persal ability generally agrees with our hypothesized sampling. This was suggested by the widespread pre- pattern. For both predicted and reported occurrence dicted distribution of most of these species in the data sets, birds and bats exhibited a lower degree of SRMNM and by the fact that much of our locational differentiation than reptiles and non-volant mammals. data for this taxon originated from surveys of breeding For reported occurrence, differentiation among mam- birds, while only 9 of the unreported species are mals was less than that of reptiles, although the reverse known to breed in the region (Thompson and others was true for predicted occurrence. Contrary to predic- 1996). tion, amphibians exhibited a lack of differentiation in It is important to remember that species lists are both predicted and reported occurrence. based on historic and current information. Species Bats also exhibited a lack of differentiation in pre- ranges do not remain static; a fact that is underscored dicted occurrence, owing to the fact that 15 of the 16 by the many changes that have occurred in the South- species were predicted in all 3 mountain ranges. west over the last 100 years (Brown and Davis 1995). However, differentiation was high (D = 78) for re- Within a species’ range, local populations are often in ported occurrence. Although 14 of the 15 species temporal flux between extinction and recolonization. reported in the SRMNM occurred in the Jemez Moun- The temporal and spatial scales over which these pro- tains, only 8 and 10 of these species have been re- cesses operate are generally not well understood. Fur- ported from the San Juan and Sangre de Cristo Moun- thermore, various forms of human disturbance, such tains, respectively, and these tend to be different as fire suppression, habitat alteration, livestock graz- species (appendix B). ing, predator removal, and other factors (Foxx 1981;

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 15 Allen 1989; Wolters 1996), have recently influenced the taxonomic group do not generally indicate similar composition of natural communities in the SRMNM. patterns for other taxa. For example, patterns of spe- The extirpations of species, including the black-footed cies richness in reported occurrence for amphibians ferret (Mustela nigripes), gray wolf (Canus lupus), griz- and reptiles were similar to birds, but those of butter- zly bear (Ursus arctos), wolverine (Gulo gulo), and river flies were similar to mammals. Furthermore, patterns otter (Lutra canadensis), are well documented (USDA of species’ distributions within habitat types may Forest Service 1986). Another possible example of a also differ from overall patterns. For example, we recent extirpation is the black-tailed (Cynomys found the diversity of habitat generalist butterflies ludovicianus), which was last formally reported in the (the largest component of the regional butterfly fauna) SRMNM in 1916 (Findley and others 1975). to be highest in the Jemez Mountains, while total These factors, along with errors in the vegetation butterfly diversity was highest in the Sangre de Cristo map and incomplete knowledge of species associa- Mountains. tions with different vegetation types, can lead to errors in predicted occurrence. Furthermore, factors such as Patterns of Faunal Differentiation substrate and soil type may be stronger determinants of distribution for many small mammals and reptiles For terrestrial vertebrates, comparisons among taxa than vegetation. Small scale delineation of species suggest that variation in faunal differentiation in the habitats and improved models for predicting species SRMNM was associated more strongly with differences distributions will be important for protecting the habi- in dispersal ability than with potential differences in tats of many species. habitat composition among mountain ranges. Errors in Resolving discrepancies between predicted and re- the vegetation map and limitations in our knowledge of ported occurrence and validating prediction models species-habitat associations might have affected the can be best accomplished with further field surveys, validity of these conclusions. However, the scale of this although additional information may be obtained from analysis, the occurrence of most vegetation types in all recent museum collections and literary sources not 3 mountain ranges, and the fact that most terrestrial included in our analysis. Special effort is needed to vertebrate species in the SRMNM are broad habitat acquire distributional information on species with no generalists, minimized the potential influence of these recent records of occurrence and on species at the edge problems. The only species whose distribution is clearly of their distribution in the study area. The magnitude limited by its requirement for habitat not present of differences in measures of faunal differentiation throughout the region is the white-tailed ptarmigan, between predicted and reported occurrence could be which is restricted to alpine tundra habitats present used to identify groups of species to target in future only in the Sangre de Cristo Mountains. field surveys. For example, in our analysis, we found Relationships between faunal differentiation and that the largest discrepancies between these measures dispersal ability were consistent with 2 out of the 3 existed among bats and aquatic specialists of all taxa. hypotheses we tested. These included a negative rela- The latter group represents a large portion of the tionship between dispersal ability and differentiation regional fauna. Another approach might focus on among habitat generalists and a lack of faunal differen- smaller groups of species whose distributions and tiation among aquatic specialists (in predicted but not habitat associations are poorly understood (e.g., insec- reported occurrence). tivorous mammals, some of the butterflies). The inverse relationship between dispersal ability and faunal differentiation among habitat generalists Patterns of Species Richness suggest that limitations to dispersal are experienced by some species, despite a relatively high degree of Recently, conservationists have focused on a search connectivity among woodland habitats in the land- for indicator taxa—species whose distributions can be scape. Although we presumed amphibians as a group used as a surrogate for species whose distributions are to be the poorest dispersers among habitat general- less well-known (see Flather and others 1997 for a ists, we observed a complete lack of differentiation in review of indicator taxa in biodiversity conservation). this group, as we did in fishes and the predicted Birds, butterflies, and mammals are used most often as occurrence of aquatic specialists of most taxa. One indicators of species distributions in other taxa (Scott plausible explanation for the lack of differentiation in and others 1993; Sisk and others 1994; Long and others the generalist amphibian faunas and aquatic special- 1996). However, results from our analysis suggest ists is dispersal through the region’s highly con- that patterns of species richness observed for any one nected riverine systems.

16 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 The high degrees of differentiation measured in Differences in habitat composition and disturbance reported occurrence of aquatic specialists (not includ- history may be more important determinants of but- ing fish) (average D = 99.8) were unexpected and terfly distributions and patterns of differentiation in deviated sharply from values obtained for predicted the SRMNM than for terrestrial vertebrates. Butterflies occurrence (average D = 11.8). It is possible that the differed greatly from vertebrates in patterns of differ- distributions of aquatic specialists as a whole, have entiation. Most notably, montane butterflies of the been less well documented than those of the other Jemez Mountains are not subsets of the San Juan or habitat associations groups. Sangre de Cristo Mountains. Although they are of Also contrary to what we hypothesized, was a lack of Rocky Mountain origin (Cary and Holland, unpub- differentiation among montane birds and mammals. lished report), 15 species have been reported from the These results might be better understood if we con- Jemez Mountains but nowhere else in the SRMNM. sider the changes that have occurred in the distribu- For this reason, montane butterflies exhibited a higher tion of montane forests of the Southwest in recent degree of differentiation than either habitat generalists geologic time. During the last glacial episode, prior to or aquatic specialists. However, we do note that in the the end of the Pleistocene 10,000 to 12,000 years ago, absence of variance estimates on D, the significance of subalpine conifer forests were broadly and continu- such differences in differentiation can not be judged. ously distributed across most of north-central New There are several possible explanations for the rela- Mexico, and mixed conifer forests occupied most of the tively high levels of differentiation observed among middle and lower elevations (Van Devender and oth- montane butterflies. First, our species lists for the San ers 1987). Dispersal by montane species between moun- Juan and Sangre de Cristos were incomplete. We only tain ranges would have been relatively unimpeded at document occurrence of species in New Mexico, while that time and it is very likely that all 3 mountain ranges a large portion of these mountain ranges lie in south- in the SRMNM contained the same faunal contingent. ern Colorado. Second, habitat specificity (i.e., depen- However, as climates became warmer, forests became dence on particular larval host plants) is generally restricted to the higher elevations. Woodland and higher among butterflies than vertebrates (Wilcox and lowland vegetation invaded from the south, filling in others 1986). Thus, the distributions of butterfly spe- the low and middle elevations to produce the land- cies may be influenced as much by differences in scape patterns we see today (Van Devender and habitat availability among mountain ranges as by dis- Spaulding 1979). Stochastic extinctions of forest-de- persal ability. Third, the ranges of many butterfly pendent species likely followed forest fragmentation species may be comparatively more restricted than and isolation of montane habitats, causing mountain those of vertebrates in general, making them more ranges like the Jemez to lose a portion of their former susceptible to local forms of disturbance. For example, faunas (Patterson 1984; Patterson and Atmar 1986). the Nokomis fritillary (Speyeria nokomis), a New Mexico Thus, differences in faunal composition are likely to be State Species of Concern, is restricted to scarce mon- influenced more by local extinctions than a failure to tane wetland habitats that are vulnerable to adverse colonize mountain ranges. Because extinction risk is changes such as drainage for cultivation or excessive correlated with habitat area (as reviewed by Diamond livestock grazing (Holland and Cary 1996). Finally, the 1984), a smaller, more isolated mountain range like the persistence of undisturbed habitats in Los Alamos Jemez would be expected to lose more species than the County in the Jemez Mountains might explain the San Juan and Sangre de Cristo Mountains, which are unique occurrence of many butterfly species reported larger and more closely connected to Rocky Mountain in the Jemez Mountains. Due to the restrictions placed montane habitats to the north. Although montane on land use since the middle of World War II, it is mammals of the San Juan Mountains appeared to possible that this area is a de facto refuge for species contain fewer species than the Sangre de Cristo Moun- whose populations have declined or disappeared else- tains, this was probably an artifact of incomplete sam- where (Holland and Cary 1996). pling due to limiting our analysis to the New Mexican portion of these mountain ranges. In their analysis, Implications for Biodiversity which included the whole of the Southern Rocky Moun- Assessment and Management tains along with the smaller ranges to the south of the SRMNM, Patterson and Atmar (1986) report fewer species of montane mammals in the Sangre de Cristo Variation in faunal differentiation and the patterns Mountains than the San Juan Mountains, which con- that emerge from it have important implications for tain a complete Southern Rocky Mountain montane biodiversity assessments in general, and for manage- fauna. ment of biodiversity in the SRMNM in particular.

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 17 Because some species groups (as defined by mammalian montane specialists in the Jemez Moun- and habitat affinity) show high degrees of faunal dif- tains are unlikely to be reversed by immigration from ferentiation (table 5), maintaining the uniqueness of nearby mountain ranges except over very long periods these faunas across the region will require a broad of time (Patterson and Atmar 1986). Preservation of geographic focus and cooperative management habitat in sufficient quantity and quality will be neces- among national forests, forest districts, and other sary to preserve viable populations of these species landownerships. over the long run. A common strategy for regional biodiversity assess- The high degree of differentiation among montane ment and management is to judiciously select a species butterfly species (table 5) suggests that their distribu- or group of species as an indicator for all other taxa tions are more tightly correlated with those of finer- (Flather and others 1997; Reid 1998). The indicator grained resources than are montane birds and mam- concept is generally applied to patterns of species mals (Wilcox and others 1986). If this is true, then richness, not to differences in faunal composition. The butterfly occurrence may be less predictable in time identity of a suitable indicator taxon for monitoring and space and more susceptible to disturbance by changes in species richness is not suggested by com- factors such as livestock grazing (Holland and Cary parisons among the vertebrate and invertebrate taxa 1996). For this reason, it may be important to preserve examined in this study. Patterns of species richness habitat for these species even if there is no current among both reported and predicted occurrence sug- occupancy (Smallidge and Leopold 1997). However, gest that no single taxonomic group is an indicator of implementation of this recommendation will require a all other taxa (table 4). more comprehensive understanding of butterfly life However, relationships among taxa, with respect to histories and habitat requirements than presented in patterns of faunal differentiation, may allow us to this report. identify groups of species that are especially vulner- Finally, efforts should be made to improve the spe- able to regional extirpation as a result of habitat frag- cies database and to complete verification studies for mentation. For example, among forest species able to questionable species occurrences in the field. Overall, use habitats at middle and lower elevations (habitat there are large differences between measures of dif- generalists), combinations of relatively poor dispersal ferentiation in predicted and reported occurrence ability and high degree of faunal differentiation, such (table 5), the average being equal to 56. These differ- as we see in reptiles and mammals (table 5), may be ences call for properly planned field surveys to better good indicators of local and regional extinction risk. document species distributions, and for further This is because immigration rates are relatively low for studies of species-habitat relationships for species poorer dispersers and sources of immigrants are gen- whose habitat requirements are not well known so that erally few compared with faunal groups possessing species-habitat prediction models may be improved. stronger dispersal abilities and lower levels of differ- Discrepancies between predicted and reported occur- entiation. Therefore, changes in faunal differentiation rence could be used to indicate where future survey within groups such as these may be early warnings for efforts are needed. For example, results of this analysis other taxa of the effects that habitat fragmentation may indicate that greater information is needed on the have on the compositional patterns of regional biodi- distribution of bat species in particular (D = 78) and versity, particularly as these changes affect the distri- aquatic vertebrates in general (average D = 98). bution of habitat corridors both within and between mountain ranges. The distribution of mammalian montane specialists from the Jemez Mountains (appendix B) may be the result of extinctions over the last 10,000 to 12,000 years, Acknowledgments following fragmentation of forest habitats in the South- ern Rocky Mountains as climates became warmer and For their contributions to this study, we gratefully drier (Patterson 1984; Patterson and Atmar 1986). The acknowledge Bruce Thompson, Jon Klingel, Dave absence of species, such as the heather vole and snow- Johnson, Gary White, Pat Kennedy, Pat Mehlhop, shoe hare from the Jemez Mountains, which occur Marilyn Altenbach, Patricia Snider, Joan Morrison, today in the Sangre de Cristo and San Juan Mountains, Steve Fettig, Mike Bogan, Laura Ellison, Tom O’Shea, supports the theory that the frequency of successful Keith Pardieck, Kathy Klimkiewicz, Brett Hoover, and colonization of the Jemez Mountains by montane spe- Robert Dickerman. For data sets, we thank the USGS cialist mammals is low (Patterson 1984; Patterson and New Mexico Gap Analysis Project, New Mexico De- Atmar 1986). This suggests that further extinctions of partment of Game and Fish, New Mexico Natural

18 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 Heritage Program, USGS North American Bird Band- Edwards, T.C.; Deshler, E.T.; Foster, D.; Moisen, G.G. 1996. Ad- equacy of wildlife habitat relation models for estimating spatial ing Laboratory, USGS North American Breeding Bird distributions of terrestrial vertebrates. Conservation Biology. 10: Survey Program, and the Museum of Southwestern 263-270. Biology Division of Birds at the University of New Environmental Systems Research Institute, Inc. 1996. ArcView GIS: the geographic information system for everyone. Redlands, CA: Mexico. We are grateful to Douglas (Sandy) Boyce, Environmental Systems Research Institute, Inc. Cathy Dahms, John Peterson, and the U.S. Forest Ser- Findley, J.S.; Harris, A.H.; Wilson, D.E.; Jones, C. 1975. Mammals of vice Region 3 for financial support of this project; to New Mexico. Albuquerque, NM: University of New Mexico Press. 360 p. Dan Neubaum, Gordon Mullen, and Samantha Beckers Flather, C.H.; Wilson, K.R.; Dean, D.J.; McComb, W.C. 1997. Identi- for data entry; and to Douglas (Sandy) Boyce, Reggie fying gaps in conservation networks: of indicators and uncer- Fletcher, Bruce Patterson, Pat Mehlhop, and Rudy tainty in geographic-based analysis. Ecological Applications. 7: 531-542. King for critical reviews of the manuscript. Flessa, K.W. 1981. The regulation of mammalian faunal similarity among the continents. Journal of Biogeography. 8: 427-437. Foxx, T.S. 1981. La Mesa fire symposium. In: Foxx, T.S., compil. Proceedings of the La Mesa Fire Symposium; 1981 October 6-7; Los Alamos. Los Alamos, NM: Los Alamos Nuclear Laboratory: 1-10. Literature Cited Grayson, D.K.; Livingston, S.D. 1993. Missing mammals on Great Basin mountains: holocene extinctions and inadequate knowl- edge. Conservation Biology. 7: 527-532. Allen, C.D. 1989. Changes in the landscapes of the Jemez Moun- Grumbine, R.E. 1997. 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20 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 Appendix A1. Birds of the Southern Rocky Mountains of New Mexico by predicted and reported occurrence. FE: Federally Endangered; FT: Federally Threatened; FC: Federal Candidate; SE: State Endangered; ST: State Threatened; SOC: New Mexico Species of Concern; Sen: Forest Service Region 3 Sensitive (New Mexico Department of Game and Fish 1998). Common and scientific names follow the American Ornithologists’ Union, Committee on Classification and Nomenclature (1998).

Common Name Scientific Name Status Predicted Reported Acorn woodpecker Melanerpes formicivorus YY American avocet Recurvirostra americana YY American bittern Botaurus lentiginosus Sen Y American coot Fulica americana YY American crow Corvus brachyrhynchos YY American dipper Cinclus mexicanus YY American goldfinch Carduelis tristis YY American kestrel Falco sparverius YY American pipit Anthus rubescens YY American robin Turdus migratorius YY American tree sparrow Spizella arborea YY American white pelican Pelecanus erythrorhynchos Y American wigeon Anas americana YY Ash-throated flycatcher Myiarchus cinerascens YY Baird’s sandpiper Calidris bairdii YY Baird’s sparrow Ammodramus bairdii Y Bald eagle Haliaeetus leucocephalus FT, ST, Sen Y Y Band-tailed pigeon Columba fasciata YY Bank swallow Riparia riparia YY Barn owl Tyto alba YY Barn swallow Hirundo rustica YY Belted kingfisher Ceryle alcyon Sen Y Y Bendire’s thrasher Toxostoma bendirei Y Bewick’s wren Thryomanes bewickii YY Black phoebe Sayornis nigricans Y Black swift Cypseloides niger YY Black tern Chlidonias niger SOC Y Black-bellied plover Pluvialis squatarola Y Black-billed magpie Pica pica YY Black-capped chickadee Poecile atricapillus YY Black-chinned hummingbird Archilochus alexandri YY Black-chinned sparrow Spizella atrogularis Y Black-crowned night-heron Nycticorax nycticorax Sen Y Y Black-headed grosbeak Pheucticus melanocephalus YY Black-necked stilt Himantopus mexicanus Sen Y Y Black-throated gray warbler Dendroica nigrescens YY Black-throated sparrow Amphispiza bilineata Y Blue grosbeak Guiraca caerulea YY Blue grouse Dendragapus obscurus YY Blue-gray gnatcatcher Polioptila caerulea YY Blue-winged teal Anas discors YY Bonaparte’s gull Larus philadelphia Y Boreal owl Aegolius funereus YY Brewer’s blackbird Euphagus cyanocephalus YY Brewer’s sparrow Spizella breweri YY Broad-tailed hummingbird Selasphorus platycercus YY Brown creeper Certhia americana YY Brown-capped rosy-finch Leucosticte australis Y Brown-headed cowbird Molothrus ater YY Bufflehead Bucephala albeola YY Burrowing owl Athene cunicularia SOC Y Bushtit Psaltriparus minimus YY

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 21 Appendix A1. (Cont’d.)

Common Name Scientific Name Status Predicted Reported Calliope hummingbird Stellula calliope YY goose Branta canadensis YY Canvasback Aythya valisineria YY Canyon towhee Pipilo fuscus YY Canyon wren Catherpes mexicanus YY Cassin’s finch Carpodacus cassinii YY Cassin’s kingbird Tyrannus vociferans YY Cassin’s sparrow Aimophila cassinii YY Cedar waxwing Bombycilla cedrorum YY Chestnut-collared longspur Calcarius ornatus YY Chihuahuan raven Corvus cryptoleucus Y Chipping sparrow Spizella passerina YY Cinnamon teal Anas cyanoptera YY Clark’s nutcracker Nucifraga columbiana YY Clay-colored sparrow Spizella pallida Y Cliff swallow Petrochelidon pyrrhonota YY Common goldeneye Bucephala clangula YY Common grackle Quiscalus quiscula YY Common loon Gavia immer YY Common merganser Mergus merganser YY Common nighthawk Chordeiles minor YY Common poorwill Phalaenoptilus nuttalli YY Common raven Corvus corax YY Common snipe Gallinago gallinago YY Common yellowthroat Geothlypis trichas YY Cooper’s hawk Accipiter cooperii YY Cordilleran flycatcher Empidonax occidentalis YY Curve-billed thrasher Toxostoma curvirostre Y Dark-eyed junco Junco hyemalis YY Dickcissel Spiza americana YY Double-crested cormorant Phalacrocorax auritus YY Downy woodpecker Picoides pubescens YY Dusky flycatcher Empidonax oberholseri YY Eared grebe Podiceps nigricollis YY Eastern bluebird Sialia sialis YY Eastern kingbird Tyrannus tyrannus Y Eastern meadowlark Sturnella magna Y Evening grosbeak Coccothraustes vespertinus YY Ferruginous hawk Buteo regalis Sen, SOC Y Y Field sparrow Spizella pusilla YY Flammulated owl Otus flammeolus Sen Y Y Forster’s tern Sterna forsteri YY Fox sparrow Passerella iliaca Y Franklin’s gull Larus pipixcan YY Gadwall Anas strepera YY Gambel’s quail Callipepla gambelii Y Golden eagle Aquila chrysaetos YY Golden-crowned kinglet Regulus satrapa YY Grace’s warbler Dendroica graciae YY Grasshopper sparrow Ammodramus savannarum YY Gray catbird Dumetella carolinensis Sen Y Y Gray flycatcher Empidonax wrightii YY Gray jay Perisoreus canadensis YY Gray vireo Vireo vicinior ST, Sen Y Y Great blue heron Ardea herodias YY Great egret Ardea alba Sen Y

22 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 Appendix A1. (Cont’d.)

Common Name Scientific Name Status Predicted Reported Great horned owl Bubo virginianus YY Greater roadrunner Geococcyx californianus Y Greater white-fronted goose Anser albifrons YY Greater yellowlegs Tringa melanoleuca Y Great-tailed grackle Quiscalus mexicanus YY Green heron Butorides virescens Y Green-tailed towhee Pipilo chlorurus YY Green-winged teal Anas crecca YY Hairy woodpecker Picoides villosus YY Hammond’s flycatcher Empidonax hammondii YY Hepatic tanager Piranga flava YY Hermit thrush Catharus guttatus YY Herring gull Larus argentatus YY Hooded merganser Lophodytes cucullatus Y Horned lark Eremophila alpestris YY House finch Carpodacus mexicanus YY House wren Troglodytes aedon YY Indigo bunting Passerina cyanea YY Juniper titmouse Baeolophus griseus YY Killdeer Charadrius vociferus YY Ladder-backed woodpecker Picoides scalaris YY Lark bunting Calamospiza melanocorys Y Lark sparrow Chondestes grammacus YY Lazuli bunting Passerina amoena YY Least sandpiper Calidris minutilla YY Lesser goldfinch Carduelis psaltria YY Lesser scaup Aythya affinis YY Lesser yellowlegs Tringa flavipes YY Lewis’s woodpecker Melanerpes lewis YY Lincoln’s sparrow Melospiza lincolnii YY Loggerhead shrike Lanius ludovicianus SOC Y Y Long-billed curlew Numenius americanus Sen Y Y Long-billed dowitcher Limnodromus scolopaceus YY Long-eared owl Asio otus YY MacGillivray’s warbler Oporornis tolmiei YY Mallard Anas platyrhynchos YY Marbled godwit Limosa fedoa YY Marsh wren Cistothorus palustris YY McCown’s longspur Calcarius mccownii Sen Y Merlin Falco columbarius YY Mountain bluebird Sialia currucoides YY Mountain chickadee Poecile gambeli YY Mountain plover Charadrius montanus FC, Sen Y Y Mourning dove Zenaida macroura YY Nashville warbler Vermivora ruficapilla Y Northern bobwhite Colinus virginianus Y Northern flicker Colaptes auratus YY Northern goshawk Accipiter gentilis Sen, SOC Y Y Northern harrier Circus cyaneus YY Northern mockingbird Mimus polyglottos YY Northern oriole a Icterus galbula YY Northern pintail Anas acuta YY Northern pygmy owl Glaucidium gnoma YY Northern rough-winged swallow Stelgidopteryx serripennis YY Northern saw-whet owl Aegolius acadicus YY Northern shoveler Anas clypeata Y

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 23 Appendix A1. (Cont’d.)

Common Name Scientific Name Status Predicted Reported

Northern shrike Lanius excubitor YY Northern waterthrush Seiurus noveboracensis YY Olive-sided flycatcher Contopus cooperi YY Orange-crowned warbler Vermivora celata YY Osprey Pandion haliaetus Y Peregrine falcon Falco peregrinus SE, Sen Y Y Pied-billed grebe Podilymbus podiceps YY Pine grosbeak Pinicola enucleator YY Pine siskin Carduelis pinus YY Pinyon jay Gymnorhinus cyanocephalus YY Plumbeous vireo Vireo plumbeus YY Prairie falcon Falco mexicanus YY Purple martin Progne subis YY Pygmy nuthatch Sitta pigmaea YY Red crossbill Loxia curvirostra YY Red-breasted merganser Mergus serrator Y Red-breasted nuthatch Sitta canadensis YY Red-eyed vireo Vireo olivaceus YY Redhead Aythya americana YY Red-headed woodpecker Melanerpes erythrocephalus Y Red-naped sapsucker Sphyrapicus nuchalis YY Red-necked phalarope Phalaropus lobatus Y Red-tailed hawk Buteo jamaicensis YY Red-winged blackbird Agelaius phoeniceus YY Ring-billed gull Larus delawarensis YY Ring-necked duck Aythya collaris YY Rock wren Salpinctes obsoletus YY Rose-breasted grosbeak Pheucticus ludovicianus YY Ross’s goose Chen rossii Y Rough-legged hawk Buteo lagopus YY Ruby-crowned kinglet Regulus calendula YY Ruddy duck Oxyura jamaicensis YY Rufous hummingbird Selasphorus rufus YY Rufous-crowned sparrow Aimophila ruficeps YY Sage sparrow Amphispiza belli YY Sage thrasher Oreoscoptes montanus YY Sandhill crane Grus canadensis YY Savannah sparrow Passaculus sandwichensis YY Say’s phoebe Sayornis saya YY Scaled quail Callipepla YY Scott’s oriole Icterus parisorum YY Semipalmated plover Charadrius semipalmatus YY Sharp-shinned hawk Accipiter striatus YY Snow goose Chen caerulescens Y Snowy egret Egretta thula Sen Y Solitary sandpiper Tringa solitaria YY Song sparrow Melospiza melodia YY Sora Porzana carolina Sen Y Y Spotted owl Strix occidentalis FT, Sen Y Y Spotted sandpiper Actitis macularia YY Spotted towhee Pipilo maculatus YY Steller’s jay Cyanocitta stelleri YY Stilt sandpiper Calidris himantopus YY Summer tanager Piranga rubra Y Swainson’s hawk Buteo swainsoni Sen Y Y

24 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 Appendix A1. (Cont’d.)

Common Name Scientific Name Status Predicted Reported

Swainson’s thrush Catharus ustulatus YY Swamp sparrow Melospiza georgiana Y Tennessee warbler Vermivora peregrina Y Three-toed woodpecker Picoides tridactylus YY Townsend’s solitaire Myadestes townsendi YY Townsend’s warbler Dendroica townsendi YY Tree swallow Tachycineta bicolor YY Tundra swan Cygnus columbianus Y Turkey vulture Cathartes aura YY Upland sandpiper Bartramia longicauda Y Vesper sparrow Pooecetes gramineus YY Violet-green swallow Tachycineta thalassina YY Virginia rail Rallus limicola YY Virginia’s warbler Vermivora virginiae YY Warbling vireo Vireo gilvus YY Western bluebird Sialia mexicana YY Western grebe Aechmophorus occidentalis ST, Sen, SOC Y Y Western kingbird Tyrannus verticalis YY Western meadowlark Sturnella neglecta YY Western sandpiper Calidris mauri YY Western screech-owl Otus kennicottii YY Western scrub-jay Aphelocoma californica YY Western tanager Piranga ludoviciana YY Western wood pewee Contopus sordidulus YY Whip-poor-will Caprimulgus vociferus Y White-breasted nuthatch Sitta carolinensis YY White-crowned sparrow Zonotrichia leucophrys YY White-faced ibis Plegadis chihi Sen, SOC Y Y White-tailed ptarmigan Lagopus leucurus SE, Sen Y Y White-throated sparrow Zonotrichia albicollis YY White-throated swift Aeronautes saxatalis YY Wild turkey Meleagris gallopavo YY Willet Catoptrophorus semipalmatus Y Williamson’s sapsucker Sphyrapicus thyroideus YY Willow flycatcher Empidonax traillii FE, SE, Sen Y Y Wilson’s phalarope Phalaropus tricolor YY Wilson’s warbler Wilsonia pusilla YY Wood duck Aix sponsa Y Yellow warbler Dendroica petechia YY Yellow-billed cuckoo Coccyzus americanus Sen Y Y Yellow-breasted chat Icteria virens YY Yellow-headed blackbird Xanthocephalus xanthocephalus YY Yellow-rumped warbler Dendroica coronata YY Zone-tailed hawk Buteo albonotatus Sen Y Y

aIncludes both Baltimore oriole (Icterus galbula) and Bullock’s oriole (I. bullockii).

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 25 Appendix A2. Mammals of the Southern Rocky Mountains of New Mexico by predicted and reported occurrence. FC: Federal Candidate; ST: State Threatened; SOC: New Mexico Species of Concern; Sen: Forest Service Region 3 Sensitive (New Mexico Department of Game and Fish 1998). Common and scientific names follow the American Society of Mammologists (http://asm.wku.edu/committees/pubed/statelists/default.html).

Common Name Scientific Name Status Predicted Reported Abert’s Sciurus aberti YY American marten Martes americana ST, Sen Y Y Badger Taxidea taxus YY Banner-tailed kangaroo rat Dipodomys spectabilis YY Beaver Castor canadensis YY Big brown bat Eptesicus fuscus YY Big free-tailed bat Nyctinomops macrotis SOC Y Y Bighorn sheep Ovis canadensis Sen Y Y Black bear Ursus americanus YY Black-tailed jack rabbit Lepus californicus YY Black-tailed prairie dog Cynomys ludovicianus YY Bobcat Lynx rufus YY Botta’s pocket gopher Thomomys bottae YY Brazilian free-tailed bat Tadarida brasiliensis YY Brush mouse boylii YY Bushy-tailed woodrat Neotoma cinerea YY California myotis Myotis californicus YY Colorado Tamias quadrivittatus YY Common raccoon Procyon lotor YY Coyote Canis latrans YY Deer mouse Peromyscus maniculatus YY Desert cottontail Sylvilagus audubonii YY Desert shrew Notiosorex crawfordi Y Dwarf shrew Sorex nanus YY Elk Cervus elaphus YY Ermine Mustela erminea YY Fringed myotis Myotis thysanodes SOC Y Y Golden-mantled ground squirrel lateralis YY Gray fox Urocyon cinereoargenteus YY Gunnison’s prairie dog Cynomys gunnisoni YY Heather vole Phenacomys intermedius YY Hispid cotton rat Sigmodon hispidus Y Hispid pocket mouse Chaetodipus hispidus Y Hoary bat Lasiurus cinereus YY Kit/Swift fox Vulpes velox Y Least chipmunk Tamias minimus YY Little brown myotis Myotis lucifugus SOC, Sen Y Y Long-eared myotis Myotis evotis SOC Y Y Long-legged myotis Myotis volans SOC Y Y Long-tailed vole Microtus longicaudus YY Long-tailed weasel Mustela frenata YY Masked shrew Sorex cinereus YY Meadow jumping mouse Zapus hudsonius Sen, SOC Y Y Meadow vole Microtus pennsylvanicus YY Merriam’s kangaroo rat Dipodomys merriami Y Mexican woodrat Neotoma mexicana YY Mink Mustela vison YY Montane shrew Sorex monticolus YY Montane vole Microtus montanus YY Mountain lion Felis concolor YY Mule deer Odocoileus hemionus YY Muskrat Ondatra zibethicus YY

26 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 Appendix A2. (Cont’d.)

Common Name Scientific Name Status Predicted Reported Northern Onychomys leucogaster YY Northern pocket gopher Thomomys talpoides YY Northern rock mouse Peromyscus nasutus YY Nuttall’s cottontail Sylvilagus nuttallii YY Ord’s kangaroo rat Dipodomys ordii YY Pallid bat Antrozous pallidus YY Pika Ochotona princeps YY Pinon mouse Peromyscus truei YY Plains harvest mouse montanus YY Plains pocket gopher Geomys bursarius SOC Y Y Plains pocket mouse flavescens YY Porcupine Erethizon dorsatum YY Prairie vole Microtus ochrogaster YY Pronghorn Antilocapra americana Sen Y Y Red fox Vulpes vulpes YY Red squirrel Tamiasciurus hudsonicus YY Ringtail Bassariscus astutus Sen Y Y Rock pocket mouse Chaetodipus intermedius Y Rock squirrel Spermophilus variegatus YY Silky pocket mouse Perognathus flavus YY Silver-haired bat Lasionycteris noctivagans YY Small-footed myotis Myotis ciliolabrum SOC Y Y Snowshoe hare Lepus americanus YY Southern plains woodrat Neotoma micropus YY Southern red-backed vole Clethrionomys gapperi YY Spotted bat Euderma maculatum ST, SOC, Sen Y Y Spotted ground squirrel Spermophilus spilosoma YY Stephen’s woodrat Neotoma stephensi YY Striped skunk Mephitis mephitis YY Tawny-bellied cotton rat Sigmodon fulviventer YY Thirteen-lined ground squirrel Spermophilus tridecemlineatus YY Townsend’s big-eared bat Corynorhinus townsendii SOC, Sen Y Y Virginia opossum Didelphis virginiana Y Water shrew Sorex palustris YY Western harvest mouse Reithrodontomys megalotis YY Western jumping mouse Zapus princeps YY Western pipistrelle Pipistrellus hesperus YY Western spotted skunk Spilogale gracilis YY White-footed mouse Peromyscus leucopus YY White-tailed Ammospermophilus leucurus YY White-tailed jack rabbit Lepus townsendii YY White-throated woodrat Neotoma albigula YY Yellow-bellied Marmota flaviventris YY Yellow-faced pocket gopher Cratogeomys castanops Y Yuma myotis Myotis yumanensis SOC Y Y

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 27 Appendix A3. Reptiles of the Southern Rocky Mountains of New Mexico by predicted and reported occurrence. Common and scientific names follow Degenhardt and others (1996).

Common Name Scientific Name Predicted Reported Blackneck Thamnophis cyrtopsis YY Blacktail rattlesnake Crotalus molossus Y Checkered garter snake Thamnophis marcianus YY Checkered whiptail Cnemidophorus grahamii YY Chihuahuan spotted whiptail Cnemidophorus exsanguis YY Coachwhip Masticophis flagellum YY Collared lizard Crotaphytus collaris YY Common garter snake Thamnophis sirtalis YY Common kingsnake Lampropeltis getula Y Corn snake Elaphe guttata YY Desert spiny lizard Sceloporus magister Y Glossy snake Arizona elegans YY Gopher snake Pituophis melanoleucus YY Great plains skink Eumeces obsoletus YY Greater earless lizard Cophosaurus texanus YY Leopard lizard Gambelia wislizenii YY Lesser earless lizard Holbrookia maculata YY Lined snake Tropidoclonion lineatum Y Little striped whiptail Cnemidophorus inornatus YY Longnose snake Rhinocheilus lecontei Y Many-lined skink Eumeces multivirgatus YY Massasauga Sistrurus catenatus Y Milk snake Lampropeltis triangulum Y Mountain patchnose snake Salvadora grahamiae Y New Mexico whiptail Cnemidophorus neomexicanus YY Night snake Hypsiglena torquata YY Ornate box turtle Terrapene ornata Y Painted turtle Chrysemys picta YY Plains black-headed snake Tantilla nigriceps Y Plains garter snake Thamnophis radix YY Plateau striped whiptail Cnemidophorus velox YY Prairie lizard Sceloporus undulatus YY Ringneck snake Diadophis punctatus YY Roundtail horned lizard Phrynosoma modestum YY Sagebrush lizard Sceloporus graciosus YY Short-horned lizard Phrynosoma douglasii YY Side-blotched lizard Uta stansburiana YY Slider Trachemys scripta Y Smooth green snake Liochlorophis vernalis YY Snapping turtle Chelydra serpentina YY Spiny softshell Trionyx spiniferus Y Striped whipsnake Masticophis taeniatus YY blind snake Leptotyphlops dulcis YY Tree lizard Urosaurus ornatus YY Western diamondback rattlesnake Crotalus atrox YY Western hognose snake Heterodon nasicus YY Western rattlesnake Crotalus viridis YY Western terrestrial garter snake Thamnophis elegans YY Yellow mud turtle Kinosternon flavescens Y

28 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 Appendix A4. Amphibians of the Southern Rocky Mountains of New Mexico by predicted and reported occurrence. FC: Federal Candidate; SE: State Endangered; ST: State Threatened; Sen: Forest Service Region 3 Sensitive (New Mexico Department of Game and Fish 1998). Common and scientific names follow Degenhardt and others (1996).

Common Name Scientific Name Status Predicted Reported Canyon treefrog Hyla arenicolor YY Couch’s spadefoot Scaphiopus couchii YY Great Plains toad Bufo cognatus YY Jemez Mountains salamander Plethodon neomexicanus ST, Sen Y Y New Mexico spadefoot Spea multiplicata YY Northern leopard Rana pipiens Sen Y Y Plains leopard frog Rana blairi YY Plains spadefoot Spea bombifrons YY Red-spotted toad Bufo punctatus YY Tiger salamander Ambystoma tigrinum YY Western chorus frog Pseudacris triseriata YY Western toad Bufo boreas FC, SE, Sen Y Y Woodhouse’s toad Bufo woodhouseii YY

Appendix A5. Native Fishes of the Southern Rocky Mountains of New Mexico by reported occurrence. SE: State Endangered; ST: State Threatened; SOC: New Mexico Species of Concern; Sen: Forest Service Region 3 Sensitive (New Mexico Department of Game and Fish 1998). Common and scientific names follow Sublette and others (1990).

Common Name Scientific Name Status Brook sticklebacka Culaea inconstans ST Central stoneroller Campostoma anomalum Creek chub Semotilus atromaculatus Cutthroat trout Oncorhynchus clarki Sen Fathead minnow Pimephales promelas Flathead chub Platygobio gracilis SOC Largemouth bass Micropterus salmoides Longnose dace Rhinichthys cataractae Rio Grande chub Gila pandora Rio Grande sucker Catostomus plebeius Sen Southern redbelly dace Phoxinus erythrogaster SE, Sen White sucker Catostomus commersoni

aThere is some question as to whether this species is native to New Mexico (Sublette and others 1990).

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 29 Appendix A6. Butterflies of the Southern Rocky Mountains of New Mexico by reported occurrence. SOC: New Mexico Species of Concern (New Mexico Department of Game and Fish 1998). Common and scientific names follow Opler and others (1995).

Common Name Scientific Name Status Afranius Erynnis afranius American lady Vanessa virginiensis American snout Libytheana carinenta Ancilla blue ancilla Anise swallowtail Papilio zelicaon Apache woodgatei Aphrodite fritillary Speyeria aphrodite Arctic blue Agriades aquilo Arrowhead blue Glaucopsyche piasus Banded hairstreak Satyrium calanus Behr’s hairstreak Satyrium behrii Black swallowtail Papilio polyxenes Blue copper heteronea Boisduval’s blue icaroides Bordered patch Chlosyne lacinia Bronze roadside-skipper aenus Brown elfin augustinus Cabbage white Pieris rapae California sister Adelpha bredowii California tortoiseshell Nymphalis californica Canyonland satyr pertepida Cassius blue Leptotes cassius Cassus roadside-skipper Amblyscirtes cassus Ceraunus blue Hemiargus ceraunus Checkered white Pontia protodice Chryxus arctic chryxus Clouded sulphur Colias philodice Cloudless sulphur Colorado hairstreak Hypaurotis crysalus Colorado skipper Hesperia colorado Common alpine epipsodea Common buckeye coenia Common checkered skipper communis Common ringlet Coenonympha tullia Common roadside-skipper Amblyscirtes vialis Common sootywing Pholisora catullus Common wood-nymph pegala Coral hairstreak Satyrium titus Dainty sulphur Nathalis iole Dark buckeye Junonia genoveva Desert elfin Callophrys fotis Desert marble lotta Dotted checkerspot Poladryas minuta Dotted roadside-skipper Amblyscirtes eos Draco skipper draco Dreamy duskywing Erynnis icelus Dun skipper Euphyes vestris Dusted skipper hianna Edwards’ fritillary Speyeria edwardsii Edwards’ skipperling edwardsii Field crescent pratensis Freija fritillary Boloria freija Frosted elfin Callophrys polios

30 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 Appendix A6. (Cont’d.)

Common Name Scientific Name Status Fulvia checkerspot Thessalia fulvia Funereal duskywing Erynnis funeralis Garita skipperling Oarisma garita Goatweed leafwing Anaea andria Gorgone checkerspot Chlosyne gorgone Gray hairstreak Strymon melinus Great purple hairstreak Atlides halesus Great spangled fritillary Speyeria cybele Green comma Polygonia faunus Green skipper Hesperia viridis Greenish blue Plebejus saepiolus Grizzled skipper Pyrgus centaureae Gulf fritillary Agraulis vanillae Hedge-row hairstreak Satyrium saepium Helena fritillary Clossiana titania Hoary comma Polygonia gracilis Horace’s duskywing Erynnis horatius Indra swallowtail Papilio indra Juba skipper Hesperia juba Juniper hairstreak Callophrys gryneus Large marble Euchloe ausonides Leda ministreak leda Little yellow lisa Lupine blue Icaricia lupini Lustrous copper Lycaena cupreus Lyside sulphur lyside Magdalena alpine Erebia magdalena Margined white Pieris marginata Marine blue Leptotes marina Mead’s sulphur Colias meadii Mead’s wood nymph Cercyonis meadii Melissa arctic Oeneis melissa Melissa blue Lycaeides melissa Meridian duskywing Erynnis meridianus Mexican cloudywing Thorybes mexicana Mexican sootywing Pholisora mejicana Mexican yellow Eurema mexicana Milbert’s tortoiseshell Nymphalis milberti Monarch Danaus plexippus Mormon fritillary Speyeria mormonia Mormon metalmark mormo Morrison’s skipper Stinga morrisoni Mottled duskywing Erynnis martialis Mountain checkered-skipper Pyrgus xanthus Mourning cloak Nymphalis antiopa Mylitta crescent Phyciodes mylitta Nais metalmark Apodemia nais skipper Hesperia nevada Nokomis fritillary Speyeria nokomis SOC Northern cloudywing Thorybes pylades Northern white-skipper ericetorum Northwestern fritillary Speyeria hesperis Old World swallowtail Papilio machaon Orange sulphur Colias eurytheme Orange-headed roadside-skipper Amblyscirtes phylace Oslar’s roadside-skipper Amblyscirtes oslari

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 31 Appendix A6. (Cont’d.)

Common Name Scientific Name Status Pacuvius duskywing Erynnis pacuvius Pahaska skipper Hesperia pahaska Painted crescent Phyciodes picta Painted lady Vanessa cardui Pale swallowtail Papilio eurymedon Pearl crescent Phyciodes tharos Pearly checkerspot Charidryas acastus SOC Pine white Neophasia menapia Pipevine swallowtail Battus philenor Polixenes arctic Purplish copper Lycaena helloides Python skipper Atrytonopsis python Queen Danaus gilippus Queen Alexandra’s sulphur Question mark Polygonia interrogationis Reakirt’s blue Hemiargus isola Red admiral Vanessa atalanta Rhesus skipper Polites rhesus Riding’s satyr ridingsii Rita dotted-blue Euphilotes rita Rocky Mountain duskywing Erynnis telemachus Rocky Mountain Parnassius smintheus Ruddy copper Lycaena rubidus Russet skipperling pirus Sachem Atalopedes campestris Saltbush sootywing alpheus Sandhill skipper Polites sabuleti Sandia hairstreak Callophrys mcfarlandi Satyr comma Polygonia satyrus Scudder’s sulphur Colias scudderi Short-tailed skipper Zestusa dorus Silver-bordered fritillary Boloria selene Silver-spotted skipper Eparygyreus clarus Silvery blue Glaucopsyche lygdamus Silvery checkerspot Chlosyne nycteis Simius roadside-skipper Amblyscirtes simius Sleepy duskywing Erynnis brizo Sleepy orange Eurema nicippe Small checkered-skipper Pyrgus scriptura Small wood nymph Cercyonis oetus Snow’s skipper Paratrytone snowi Southern dog face Zerene cesonia Southwestern orangetip Anthocharis thoosa Spalding’s dotted-blue Euphilotes spaldingi Spring azure Celastrina ladon Spring white Pontia sisymbrii Strecker’s giant-skipper streckeri Sylvan hairstreak Satyrium sylvinus Tailed copper Lycaena arota Tailed orange Eurema proterpia Tawny-edged skipper Polites themistocles Taxiles skipper Poanes taxiles Thicket hairstreak Callophrys spinetorum Two-tailed swallowtail Papilio multicaudatus Uhler’s arctic Uncas skipper Hesperia uncas

32 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 Appendix A6. (Cont’d.)

Common Name Scientific Name Status Variable checkerspot Euphydryas anicia Variegated fritillary Euptoieta claudia Viceroy Limenitis archippus Viereck’s skipper Atrytonopsis vierecki Weidemeyer’s admiral Limenitis weidemeyerii West Coast lady Vanessa annabella Western green-hairstreak Callophrys affinis Western pigmy-blue Brephidium exile Western pine elfin Callophrys eryphon Western square-dotted blue Euphilotes battoides Western tailed-blue Everes amyntula Western tiger swallowtail Papilio rutulus Western white Pontia occidentalis White-angled sulphur Woodland skipper giant-skipper Megathymus yuccae Yuma skipper

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 33 Appendix B. Presence/absence matrices for predicted and reported occurrence of terrestrial vertebrates and butterflies in the Southern Rocky Mountains of New Mexico (1 denotes presence, 0 denotes absence).

Jemez San Juan Sangre de Cristo Predicted Reported Predicted Reported Predicted Reported Taxon: Birds Montane Specialists Boreal owl 101011 Gray jay 111111 Pine grosbeak 111111 Three-toed woodpecker 111111 White-tailed ptarmigan 000011

Habitat Generalists Acorn woodpecker 110010 American crow 111111 American goldfinch 101110 American kestrel 111111 American pipit 111011 American robin 111111 American tree sparrow 101011 Ash-throated flycatcher 111111 Baird’s sparrow 101010 Bald eagle 111011 Band-tailed pigeon 111111 Barn owl 111010 Barn swallow 111111 Bendire’s thrasher 101010 Bewick’s wren 111111 Black swift 101110 Black-billed magpie 111111 Black-capped chickadee 111111 Black-chinned hummingbird 111111 Black-chinned sparrow 010000 Black-headed grosbeak 111111 Black-throated gray warbler 111111 Blue grosbeak 111111 Blue grouse 111111 Blue-gray gnatcatcher 111111 Brewer’s blackbird 111111 Brewer’s sparrow 111110 Broad-tailed hummingbird 111111 Brown creeper 111111 Brown-capped rosy-finch 101010 Brown-headed cowbird 111111 Burrowing owl 100010 Bushtit 111111 Calliope hummingbird 110010 Canyon towhee 111011 Canyon wren 111011 Cassin’s finch 111111 Cassin’s kingbird 111111 Cedar waxwing 111010 Chestnut-collared longspur 101011 Chihuahuan raven 000010 Chipping sparrow 111111 Clark’s nutcracker 111111 Cliff swallow 111111

34 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 Appendix B. (Cont’d.)

Jemez San Juan Sangre de Cristo Predicted Reported Predicted Reported Predicted Reported

Taxon: Birds Habitat Generalists Common nighthawk 111111 Common poorwill 111111 Common raven 111111 Cooper’s hawk 111111 Cordilleran flycatcher 111111 Curve-billed thrasher 101010 Dark-eyed junco 111111 Downy woodpecker 111111 Dusky flycatcher 111111 Eastern meadowlark 000001 Evening grosbeak 111111 Ferruginous hawk 111011 Flammulated owl 111011 Gambel’s quail 111010 Golden eagle 111110 Golden-crowned kinglet 111111 Grace’s warbler 111111 Grasshopper sparrow 101011 Gray catbird 111111 Gray flycatcher 111011 Gray vireo 100001 Great horned owl 111111 Greater roadrunner 101010 Green-tailed towhee 111111 Hairy woodpecker 111111 Hammond’s flycatcher 111111 Hepatic tanager 111011 Hermit thrush 111111 Horned lark 101111 House finch 111111 House wren 111111 Indigo bunting 111111 Juniper titmouse 111111 Killdeer 111111 Ladder-backed woodpecker 111011 Lark bunting 101010 Lark sparrow 111111 Lazuli bunting 111111 Lesser goldfinch 111111 Lewis’s woodpecker 111111 Lincoln’s sparrow 111111 Loggerhead shrike 111011 Long-eared owl 111111 MacGillivray’s warbler 111111 Marsh wren 111111 McCown’s longspur 101010 Merlin 101011 Mountain bluebird 111111 Mountain chickadee 111111 Mourning dove 111111 Nashville warbler 101010

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 35 Appendix B. (Cont’d.)

Jemez San Juan Sangre de Cristo Predicted Reported Predicted Reported Predicted Reported

Taxon: Birds Habitat Generalists Northern bobwhite 000010 Northern flicker 111010 Northern goshawk 111111 Northern harrier 101011 Northern mockingbird 111111 Northern oriole 111111 Northern pygmy owl 111111 Northern saw-whet owl 110111 Northern shrike 101111 Olive-sided flycatcher 111111 Orange-crowned warbler 111111 Peregrine falcon 111110 Pine grosbeak 101010 Pine siskin 111111 Pinyon jay 111111 Plumbeous vireo 111111 Prairie falcon 111111 Purple martin 101111 Pygmy nuthatch 111111 Red crossbill 111111 Red-breasted nuthatch 111111 Red-eyed vireo 111110 Red-headed woodpecker 010111 Red-naped sapsucker 111111 Red-tailed hawk 111111 Rock wren 111010 Rose-breasted grosbeak 101011 Rough-legged hawk 111111 Ruby-crowned kinglet 111010 Rufous hummingbird 111010 Rufous-crowned sparrow 110010 Sage thrasher 111110 Sandhill crane 101110 Savannah sparrow 111110 Say’s phoebe 111111 Scaled quail 111011 Scott’s oriole 110100 Sharp-shinned hawk 111111 Song sparrow 111111 Spotted owl 110010 Spotted towhee 111010 Steller’s jay 111111 Swainson’s hawk 101011 Swainson’s thrush 111011 Townsend’s solitaire 111111 Townsend’s warbler 111010 Tree swallow 101111 Turkey vulture 111111 Upland sandpiper 000010 Vesper sparrow 111111 Violet-green swallow 111111

36 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 Appendix B. (Cont’d.)

Jemez San Juan Sangre de Cristo Predicted Reported Predicted Reported Predicted Reported

Taxon: Birds Habitat Generalists Virginia’s warbler 110111 Warbling vireo 111111 Western bluebird 111111 Western kingbird 111111 Western meadowlark 111111 Western screech-owl 111110 Western scrub-jay 111111 Western tanager 111111 Western wood pewee 111111 Whip-poor-will 010000 White-breasted nuthatch 111111 White-crowned sparrow 111111 White-throated swift 111111 Wild turkey 111011 Williamson’s sapsucker 111111 Wilson’s warbler 111111 Yellow warbler 111111 Yellow-breasted chat 111111 Yellow-rumped warbler 111111 Zone-tailed hawk 111010

Aquatic Specialists American avocet 101110 American bittern 101010 American coot 101110 American dipper 111011 American white pelican 101010 American wigeon 101110 Baird’s sandpiper 101011 Bank swallow 101011 Belted kingfisher 111111 Black phoebe 010001 Black tern 101010 Black-bellied plover 101010 Black-crowned night-heron 111110 Black-necked stilt 101110 Blue-winged teal 101111 Bonaparte’s gull 000100 Bufflehead 101110 Canada goose 111111 Canvasback 101011 Cinnamon teal 111010 Common goldeneye 101111 Common loon 101110 Common merganser 111110 Common snipe 101110 Common yellowthroat 111111 Double-crested cormorant 101110 Eared grebe 101110 Eastern bluebird 100011 Eastern kingbird 101010 Forster’s tern 101110

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 37 Appendix B. (Cont’d.)

Jemez San Juan Sangre de Cristo Predicted Reported Predicted Reported Predicted Reported

Taxon: Birds Aquatic Specialists Franklin’s gull 101111 Gadwall 111111 Great blue heron 111011 Great egret 101010 Greater white-fronted goose 101011 Greater yellowlegs 101010 Green heron 101010 Green-winged teal 111111 Herring gull 111110 Hooded merganser 101010 Least sandpiper 101011 Lesser scaup 111010 Lesser yellowlegs 101110 Long-billed dowitcher 111110 Mallard 111111 Marbled godwit 101011 Northern pintail 111111 Northern rough-winged swallow 111111 Northern shoveler 101010 Northern waterthrush 111010 Osprey 111110 Pied-billed grebe 101010 Red-breasted merganser 101010 Redhead 111111 Red-necked phalarope 101010 Red-winged blackbird 111111 Ring-billed gull 111110 Ring-necked duck 101110 Ross’s goose 111110 Ruddy duck 101011 Semipalmated plover 101010 Snow goose 101010 Snowy egret 101010 Solitary sandpiper 101011 Sora 111010 Spotted sandpiper 111111 Stilt sandpiper 101110 Summer tanager 101010 Swamp sparrow 101010 Tennessee warbler 101010 Tundra swan 101010 Virginia rail 111011 Western grebe 101111 Western sandpiper 101110 White-faced ibis 101110 White-throated sparrow 111010 Willet 101010 Willow flycatcher 111111 Wilson’s phalarope 111110 Wood duck 101010 Yellow-billed cuckoo 111110

38 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 Appendix B. (Cont’d.)

Jemez San Juan Sangre de Cristo Predicted Reported Predicted Reported Predicted Reported Taxon: Mammals Montane Specialists American marten 101111 Dwarf shrew 111111 Heather vole 001111 Meadow jumping mouse 111010 Meadow vole 101011 Montane shrew 111111 Northern pocket gopher 111111 Pika 111111 Red squirrel 111111 Snowshoe hare 001111 Southern red-backed vole 111111 Water shrew 111111

Habitat Generalists Abert’s squirrel 111111 Badger 101111 Big brown bat 111111 Big free-tailed bat 010000 Bighorn sheep 010011 Black bear 111111 Black-tailed jack rabbit 111110 Black-tailed prairie dog 000011 Bobcat 111111 Botta’s pocket gopher 111111 Brazilian free-tailed bat 111010 Brush mouse 111111 Bushy-tailed woodrat 111111 California myotis 111110 Colorado chipmunk 111111 Coyote 111111 Deer mouse 111111 Desert cottontail 111111 Desert shrew 100000 Elk 111111 Ermine 111011 Fringed myotis 111011 Golden-mantled ground squirrel 111111 Gray fox 111111 Gunnison’s prairie dog 111111 Hispid cotton rat 000010 Hispid pocket mouse 101010 Hoary bat 111111 Kit/Swift fox 101010 Least chipmunk 111111 Little brown myotis 101011 Long-eared myotis 111111 Long-legged myotis 111111 Long-tailed vole 111111 Long-tailed weasel 111111 Masked shrew 101111 Merriam’s kangaroo rat 101010 Mexican woodrat 111111

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 39 Appendix B. (Cont’d.)

Jemez San Juan Sangre de Cristo Predicted Reported Predicted Reported Predicted Reported Taxon: Mammals Habitat Generalists Montane vole 111110 Mountain lion 111111 Mule deer 111111 Northern grasshopper mouse 111111 Northern rock mouse 101011 Nuttall’s cottontail 111111 Ord’s kangaroo rat 101111 Pallid bat 111010 Pinon mouse 111111 Plains harvest mouse 110010 Plains pocket mouse 101111 Porcupine 111111 Red fox 101111 Ringtail 101011 Rock pocket mouse 100000 Rock squirrel 111111 Silky pocket mouse 111111 Silver-haired bat 111111 Small-footed myotis 111111 Southern plains woodrat 101011 Spotted bat 111110 Striped skunk 101111 Thirteen-lined ground squirrel 101111 Townsend’s big-eared bat 111011 Western harvest mouse 111111 Western jumping mouse 111111 Western pipistrelle 111010 Western spotted skunk 101110 White-footed mouse 111110 White-tailed antelope squirrel 111010 White-tailed jack rabbit 101111 White-throated woodrat 111111 Yellow-bellied marmot 001111 Yellow-faced pocket gopher 101010 Yuma myotis 111011

Aquatic Specialists Beaver 111111 Meadow jumping mouse 111010 Mink 101011 Muskrat 101111 Water shrew 111111

Taxon: Reptiles Habitat Generalists Blacktail rattlesnake 100010 Checkered whiptail 111010 Chihuahuan spotted whiptail 111110 Coachwhip 111111 Collared lizard 111111 Common kingsnake 111010

40 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 Appendix B. (Cont’d.)

Jemez San Juan Sangre de Cristo Predicted Reported Predicted Reported Predicted Reported Taxon: Reptiles Habitat Generalists Corn snake 111011 Desert spiny lizard 100000 Glossy snake 110000 Gopher snake 111111 Great plains skink 111011 Greater earless lizard 000010 Leopard lizard 100001 Lesser earless lizard 111111 Lined snake 100010 Little striped whiptail 110011 Longnose snake 101010 Many-lined skink 110111 Massasauga 100000 Milk snake 101010 Mountain patchnose snake 101010 New Mexico whiptail 101110 Night snake 111011 Ornate box turtle 101010 Plains black-headed snake 101010 Plateau striped whiptail 111111 Prairie lizard 111111 Ringneck snake 111011 Roundtail horned lizard 110001 Sagebrush lizard 101100 Short-horned lizard 111111 Side-blotched lizard 110010 Smooth green snake 111111 Striped whipsnake 111110 Texas blind snake 101011 Tree lizard 111110 Western diamondback rattlesnake 111110 Western hognose snake 101011 Western rattlesnake 111111 Western terrestrial garter snake 111111

Aquatic Specialists Blackneck garter snake 111111 Checkered garter snake 100011 Common garter snake 101110 Painted turtle 111010 Plains garter snake 000011 Slider 000010 Snapping turtle 010010 Spiny softshell 110000 Yellow mud turtle 010000

Taxon: Amphibians Montane Specialists Jemez Mountains salamander 110000 Western toad 001100

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 41 Appendix B. (Cont’d.)

Jemez San Juan Sangre de Cristo Predicted Reported Predicted Reported Predicted Reported

Taxon: Amphibians Habitat Generalists Great Plains toad 110000 New Mexico spadefoot 111011 Plains spadefoot 111111 Red-spotted toad 110010 Tiger salamander 111111 Western chorus frog 111111 Woodhouse’s toad 111111

Aquatic Specialists Canyon treefrog 110011 Couch’s spadefoot 110000 Northern leopard frog 111111 Plains leopard frog 101111

Taxon: Fish Taxon Brook stickleback 0 0 1 Central stoneroller 0 0 1 Creek chub 0 0 1 Cutthroat trout 1 1 1 Fathead minnow 1 1 1 Flathead chub 1 1 1 Largemouth bass 0 1 1 Longnose dace 1 1 1 Rio Grande chub 1 1 1 Rio Grande sucker 1 1 1 Southern redbelly dace 0 0 1 White sucker 1 1 1

Taxon: Butterflies Montane Specialists Anise swallowtail 1 0 1 Arctic blue 1 1 1 Blue copper 0 1 1 Chryxus arctic 1 1 1 Colorado skipper 1 1 1 Common alpine 0 1 1 Draco skipper 1 1 1 Dreamy duskywing 1 1 1 Freija fritillary 0 1 0 Garita skipperling 1 1 1 Silvery checkerspot 1 0 1 Great spangled fritillary 1 1 1 Greenish blue 1 1 1 Grizzled skipper 0 0 1 Helena fritillary 1 0 1 Large marble 0 1 1 Lustrous copper 0 0 1 Magdalena alpine 0 0 1 Mead’s sulphur 0 0 1 Melissa arctic 0 1 1 Mexican cloudywing 1 1 1

42 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 Appendix B. (Cont’d.)

Jemez San Juan Sangre de Cristo Reported Reported Reported

Mormon fritillary 1 1 1 Nevada skipper 1 0 1 Northwestern fritillary 1 1 1 Polixenes arctic 0 1 1 Rocky Mountain parnassius 0 0 1 Scudder’s sulphur 0 0 1 Silver-bordered fritillary 1 0 0 Uhler’s arctic 0 1 1 Western tiger swallowtail 1 0 1 Western white 0 0 1

Habitat Generalists Afranius duskywing 1 1 1 American lady 1 1 1 Ancilla blue 1 0 1 Taxon: Butterflies Habitat Generalists Apache skipper 1 0 1 Aphrodite fritillary 1 0 1 Arrowhead blue 1 0 0 Banded hairstreak 1 1 1 Behr’s hairstreak 1 1 1 Black swallowtail 1 1 1 Boisduval’s blue 1 1 1 Bronze roadside-skipper 1 0 1 Brown elfin 1 0 0 Cabbage white 1 0 1 California sister 1 1 1 California tortoiseshell 1 0 1 Canyonland satyr 1 1 1 Gorgone checkerspot 1 0 1 Cassus roadside-skipper 1 0 1 Ceraunus blue 0 0 1 Checkered white 1 1 1 Clouded sulphur 1 1 1 Colorado hairstreak 1 1 1 Common checkered skipper 1 1 1 Common ringlet 1 1 1 Common roadside-skipper 1 1 1 Common sootywing 1 0 1 Common wood-nymph 1 1 1 Coral hairstreak 1 1 1 Dainty sulphur 1 1 1 Desert elfin 1 0 0 Desert marble 0 1 1 Dotted checkerspot 1 1 1 Dotted roadside-skipper 1 0 0 Dun skipper 1 1 1 Dusted skipper 1 0 0 Edwards’ fritillary 1 1 1 Edwards’ skipperling 1 1 1 Field crescent 1 1 1 Frosted elfin 1 0 0 Fulvia checkerspot 1 1 1 Funereal duskywing 1 0 1

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 43 Appendix B. (Cont’d.)

Jemez San Juan Sangre de Cristo Reported Reported Reported

Goatweed leafwing 1 0 1 Gray hairstreak 1 1 1 Great purple hairstreak 1 0 1 Green comma 1 0 1 Green skipper 1 1 1 Hedge-row hairstreak 1 0 0 Hoary comma 1 1 1 Horace’s duskywing 1 0 1 Juba skipper 1 0 0 Juniper hairstreak 0 1 1 Leda ministreak 0 1 1 Lupine blue 1 1 1 Margined white 1 1 1 Marine blue 1 1 1 Taxon: Butterflies Habitat Generalists Mead’s wood nymph 1 1 1 Melissa blue 1 1 1 Meridian duskywing 1 0 0 Mexican sootywing 0 0 1 Mexican yellow 1 0 1 Milbert’s tortoiseshell 1 0 1 Monarch 1 0 1 Mormon metalmark 0 1 1 Morrison’s skipper 1 1 1 Mountain checkered-skipper 1 0 1 Mourning cloak 1 0 1 Mylitta crescent 1 1 1 Nais metalmark 1 1 1 Nokomis fritillary 0 0 1 Northern cloudywing 1 1 1 Northern white-skipper 0 1 0 Old World swallowtail 1 0 1 Orange sulphur 1 1 1 Orange-headed roadside-skipper 1 1 1 Oslar’s roadside-skipper 1 1 1 Pacuvius duskywing 1 1 1 Pahaska skipper 1 1 1 Painted crescent 1 0 1 Painted lady 1 1 1 Pale swallowtail 1 0 1 Pearly checkerspot 1 1 1 Pine white 1 1 1 Pipevine swallowtail 0 0 1 Purplish copper 1 1 1 Python skipper 1 0 0 Queen 1 1 1 Queen Alexandra’s sulphur 1 1 1 Question mark 0 0 1 Reakirt’s blue 1 1 1 Red admiral 1 1 1 Rhesus skipper 1 0 1 Riding’s satyr 1 0 1 Rita dotted-blue 1 0 0

44 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 Appendix B. (Cont’d.)

Jemez San Juan Sangre de Cristo Reported Reported Reported

Rocky Mountain duskywing 1 1 1 Ruddy copper 0 1 1 Russet skipperling 1 1 1 Sachem 1 0 1 Saltbush sootywing 1 1 0 Sandia hairstreak 1 0 0 Satyr comma 1 0 1 Short-tailed skipper 1 1 1 Silver-spotted skipper 1 0 1 Silvery blue 1 1 1 Simius roadside-skipper 1 0 1 Sleepy duskywing 1 1 1 Small checkered-skipper 1 0 1 Taxon: Butterflies Habitat Generalists Small wood nymph 1 1 1 Snow’s skipper 1 0 1 Southern dog face 1 1 1 Southwestern orangetip 1 0 1 Spalding’s dotted-blue 1 1 0 Spring azure 1 0 1 Strecker’s giant-skipper 1 1 0 Sylvan hairstreak 1 0 1 Tailed copper 1 1 1 Taxiles skipper 1 1 1 Thicket hairstreak 1 0 1 Two-tailed swallowtail 1 0 1 Uncas skipper 1 1 1 Variable checkerspot 0 1 1 Variegated fritillary 1 1 1 Viereck’s skipper 1 0 0 Weidemeyer’s admiral 1 1 1 West Coast lady 1 1 1 Western green-hairstreak 1 1 1 Western pine elfin 1 1 1 Western square-dotted blue 1 1 1 Western tailed-blue 1 1 1

Aquatic Specialists American snout 1 1 1 Common buckeye 1 0 0 Dark buckeye 0 0 1 Pearl crescent 1 1 1 Sandhill skipper 0 0 1 Tawny-edged skipper 1 1 1 Viceroy 1 0 1 Woodland skipper 1 1 1 Yuma skipper 0 0 1

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 45 Y

Y

YY

Y YY

Aquatic

YYY

YYY

YYY

YYY

YYY

YYY YYY

YYY

YYYY

YYY

YYY

YY YY

YYY

YYY

YYYY

YYYY

YYYY

YY

resent vegetation types present in the region (see table 1 for a description

YYY Y

YYY

YYYY

YYYYYY YYY

YYYY YYYYY Y

Woodland Grassland/desert scrub

YY YYY Y

YY Y Y

YYY

YY Y YYYYYY YY

YYY YY

YY

YY YY YYYY YYY

YYYYYY

YYYYY Y

YYY

Montane habitats

YYYY Y YYY YY

YYYY YYYYYYYYYYYYYY

YYYYYY YYYYY

YYYYY YYY YY YYY

YYYY Y YYYYY YYY

1111 1112 2111 2112 2121 2122 3111 4111 5110 3121 3122 3222 4211 4212 5121 5122 5211 5212 5221 6120 9120 9410 9420

Appendix C. Species-habitat associations for terrestrial vertebrates in the Southern Rocky Mountains of New Mexico. Numbers rep of vegetation types and appendix A1-A6 for species scientific names).

Birds Acorn woodpecker American avocet American bittern American coot American crow Y Y Y Y Y Y Y Y Y Y Y Y Y Y American dipper American goldfinch American kestrel American pipit Y Y American robin Y Y Y Y Y Y Y Y Y Y Y Y Y Y American tree sparrow American white pelican American wigeon Ash-throated flycatcher

Baird’s sandpiper Baird’s sparrow Bald eagle Band-tailed pigeon Bank swallow Barn owl Y Y Y Y Y Y Y Y Y Y Y Y Y Y Barn swallow Y Y Y Y Y Y Y Y Y Y Y Y Belted kingfisher Bendire’s thrasher Bewick’s wren Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Black phoebe Black swift Y Y Y Y Y Y Y Y Black tern Black-bellied plover Black-billed magpie Black-capped chickadee Black-chinned hummingbird Black-chinned sparrow Black-crowned night-heron Black-headed grosbeak Black-necked stilt

Black-throated gray warbler Bonaparte’s gull Black-throated sparrow Boreal owl Y Y Y Blue grosbeak Brewer’s blackbird Blue grouse Y Y Y Y Y Y Y Y Brewer’s sparrow Blue-gray gnatcatcher Blue-winged teal

46 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 YY

YY

YY

YY YY

Aquatic

YYY

YYY

YYY

Y

YYY

YYY

Y

YYY YY YYY

YY Y

YYY Y

YYY YY

YYYYY

YY YY

YYYY

YYYYYYYYY

YYYYYYY YY YYY YY

YYYYYYYY

YY Y Y

Y

YY Y

YYY

Woodland Grassland/desert scrub

YY YY YYY

YY Y Y

YY YY

YYY YYYYYYYYY

Y

YYY YYYY

YYYY

YYYYYY YYYY

YYYY

YY YYY Y

Montane habitats

YYYY YYYY YYYY YY

YYYYY Y

YYYYYYYYY YYYYYYYYY

YYYYY YYY Y Y

YYYY Y

YYYY Y

YYYY Y YY

YYYYYY YY YYY

1111 1112 2111 2112 2121 2122 3111 4111 5110 3121 3122 3222 4211 4212 5121 5122 5211 5212 5221 6120 9120 9410 9420

Birds Broad-tailed hummingbird Brown creeper Y Y Y Y Y Y Y Y Brown-capped rosy-finch Brown-headed cowbird Bufflehead Burrowing owl Bushtit Y Y Y Y Y Y Y Y Y Y Y Y Calliope hummingbird

Canada goose Canvasback Canyon towhee Y Y Y Y Y Y Y Y Canyon wren Y Y Y Y Y Y Y Cassin’s finch Y Y Y Y Y Y Y Cassin’s kingbird Cassin’s sparrow Cedar waxwing Y Y Y Y Y Appendix C. (Cont’d.) Chestnut-collared longspur Chihuahuan raven Chipping sparrow Cinnamon teal Clark’s nutcracker Clay-colored sparrow Cliff swallow Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Common goldeneye Common grackle Common loon Common merganser Common nighthawk Common poorwill Common raven Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Common snipe Common yellowthroat Cooper’s hawk Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Cordilleran flycatcher Curve-billed thrasher Dark-eyed junco Y Y Y Y Y Y Y Y Y Y Y Y Y Dickcissel

Double-crested cormorant Downy woodpecker

Dusky flycatcher Y Y Y Y Y Y Y Y Y Eared grebe Eastern bluebird Eastern kingbird Eastern meadowlark Evening grosbeak

Ferruginous hawk

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 47 YY

Y

YY

YY

YY

Aquatic

YYY

YYY YYY

YYY

YYY

YYY

YYY

YYYY

Y YYYY

Y

YY

YYYYY

YYY

YY

YYYYYYYYYY

YY Y

YYYY Y YY

YYY YYYYYYYYYY

Woodland Grassland/desert scrub

Y

YYYYYYY

YYYYY

YY

YY YY

YYY Y

YYY YYYY

YY

YYYYY

YY

YY YY YY YY

Montane habitats

YYYYY YY YYY YY

YYYYY

YYYYYYYYYYYYYYYYYYYY

YYYY YYYYYYYY Y Y Y

YYYYYY YY Y YYYYYY YYY Y

1111 1112 2111 2112 2121 2122 3111 4111 5110 3121 3122 3222 4211 4212 5121 5122 5211 5212 5221 6120 9120 9410 9420

Birds Field sparrow Flammulated owl Forster’s tern Fox sparrow Franklin’s gull Grasshopper sparrow Appendix C. (Cont’d.) Gadwall Gray catbird Gambel’s quail Y Y Y Y Y Y Y Y Y Y Y Gray flycatcher Y Y Y Y Y Y Y Y Y Golden eagle Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Gray jay Y Y Y Y Y Y Golden-crowned kinglet Gray vireo Grace’s warbler Great blue heron Great egret Great horned owl Greater roadrunner Greater white-fronted goose Greater yellowlegs Great-tailed grackle Green heron Green-tailed towhee Green-winged teal

Hairy woodpecker Hammond’s flycatcher Hepatic tanager Y Y Y Y Y Y Y Y Hermit thrush Y Y Y Y Y Y Y Y Y Y Y Y Y Y Herring gull

Hooded merganser Horned lark Y Y Y Y Y Y Y Y Y Y Y Y Y House finch Y Y Y Y Y Y Y Y Y Y Y Y Y Y House wren Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Indigo bunting Juniper titmouse Y Y Y Y Y Y Y Y Y Y Killdeer Ladder-backed woodpecker Lark bunting Lark sparrow Lazuli bunting Y Y Y Y Y Least sandpiper Lesser goldfinch Y Y Y Y Y Y Y Y Y Y Y Lesser scaup Lesser yellowlegs Lewis’s woodpecker

48 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 YY

YY

YY

Aquatic

YYY

YYY YYY

YYY

YYY

YYYY

YYYY YYY

YYY

Y

YY

Y

YYYYY

YY Y

YY Y

YYYYYYYY

YYYYY Y

YYYYYYYYYY

YY Y Y

YYY YYYY

YY Y Y

YYY

YY YYY

Woodland Grassland/desert scrub

YY YY YYYY

YYYYY

YYY

Y

YYY

Y

YY Y Y

YYYY

YYYY YY Y

Montane habitats

YYYY Y YY

YYYYY YYY YYY YY

YYYY Y YY YY YYYY YYYY YY Y

YYYY Y YY Y

YYYYY YYY Y YYYY Y YY

YYYYYY YYYYYYY YYYYY

YYYY Y YY Y

YYYYYYYYYYY YYY Y Y

1111 1112 2111 2112 2121 2122 3111 4111 5110 3121 3122 3222 4211 4212 5121 5122 5211 5212 5221 6120 9120 9410 9420

Appendix C. (Cont’d.)

Loggerhead shrike Long-billed curlew Long-billed dowitcher Long-eared owl Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Birds MacGillivray’s warbler Lincoln’s sparrow

Mallard Marbled godwit Marsh wren McCown’s longspur Merlin Y Y Y Y Y Y Y Y Y Y Y Y Y Y Mountain bluebird Mountain chickadee Mountain plover Mourning dove Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Nashville warbler Northern bobwhite Northern pintail Northern flicker Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Northern pygmy owl Northern goshawk Northern rough-winged Northern harrier swallow Northern mockingbird Northern saw-whet owl Northern oriole Northern shoveler Northern shrike Northern waterthrush Olive-sided flycatcher Orange-crowned warbler

Peregrine falcon Pied-billed grebe Pine grosbeak Y Y Y Y Pine siskin Y Y Y Y Y Y Y Y Y Y Y Y Y Red crossbill Y Y Y Y Y Y Y Pinyon jay Y Y Y Y Y Y Y Osprey Red-breasted merganser Plumbeous vireo Red-breasted nuthatch Prairie falcon Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Red-eyed vireo Y Y Y Y Purple martin Y Y Y Y Y Y Y Redhead Pygmy nuthatch Y Y Y Y

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 49 YY

YY

YY YY

Y

Aquatic

YYY

YYY

YYY

YYY

YYY

YYY

YYY YYY

YYY

YYY

YY

YYY YY

YYY

YYYY

YYYYYYYY

YYYYYY YY

YYYYYYY

YYY

Y

YY

YYYY Y

Woodland Grassland/desert scrub

YY YYY YYYY

YYY

YYYYYY YY

YY YY

YYYYYY

YYY

YY

YYYY

YY YY Y

Montane habitats

YYYYYY Y Y Y

YYYYYY YY Y

YYYYYYYYYYYYY YYYYY

YYYY YY Y

YYYY YYYYYYYYY Y YY YYYY YY Y Y

YYYYYY YYYYYYYYYYYYYY

1111 1112 2111 2112 2121 2122 3111 4111 5110 3121 3122 3222 4211 4212 5121 5122 5211 5212 5221 6120 9120 9410 9420

Red-tailed hawk Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Appendix C. (Cont’d.) Red-winged blackbird Birds Ring-billed gull Red-headed woodpecker Ring-necked duck Red-naped sapsucker Rock wren Y Y Y Y Y Y Y Y Y Y Y Y Y Red-necked phalarope Rose-breasted grosbeak Ross’s goose Rough-legged hawk Ruby-crowned kinglet Ruddy duck Rufous hummingbird Rufous-crowned sparrow Sage sparrow Sage thrasher Sandhill crane Savannah sparrow Say’s phoebe Y Y Y Y Y Y Y Y Y Y Y Y Y Y Scaled quail Scott’s oriole Semipalmated plover Sharp-shinned hawk Snow goose Snowy egret Solitary sandpiper Song sparrow Y Y Y Y Y Sora Spotted owl Y Y Y Y Y Y Y Spotted sandpiper Spotted towhee Y Y Y Y Y Y Y Y Y Y Y Y Steller’s jay Y Y Y Y Y Y Y Y Stilt sandpiper Summer tanager

Swainson’s hawk Swainson’s thrush Swamp sparrow Tennessee warbler Three-toed woodpecker Townsend’s solitaire Townsend’s warbler Tree swallow Y Y Y Y Y Y Y Y Y Y Tundra swan Turkey vulture Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Upland sandpiper

50 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 Y

YY

Aquatic

YYY

YYY YYY

YYY

YY

YY YYY

Y

YY

YY

YY Y

YYY YY

YYY YYY

Woodland Grassland/desert scrub

YYYYYYYYY

YYYYYYY

YY YYY Y Y

YYY YY YYYYYYY

YYYYYY Y YYYYYYYYYYY

YYYYY YYY

YY Y YYYYY YY YY Y YYYYY Y

YY Y YYYYY YY

Y

YY YYY YYY YY Y

YY Y YYYYYYYYYYYY

YYYYYYYY YYY YY Y

YY

YYY Y YYYYY YY Y YY

YYYYY YY Y Y

YYY YY Y

YYYYYYYYYYY Y

YYY YYYY YY Y Y

Montane habitats

Y

Y Y

Y

YYYY YYY YYY YY Y

Y

Y

Y

YY YYYY YYYYYYYYY

YY YY Y

YYY YYY Y

1111 1112 2111 2112 2121 2122 3111 4111 5110 3121 3122 3222 4211 4212 5121 5122 5211 5212 5221 6120 9120 9410 9420

Appendix C. (Cont’d.)

Birds Vesper sparrow Violet-green swallow Virginia rail Virginia’s warbler Western sandpiper Warbling vireo Y Y Y Y Y Y Y Y Y Western screech-owl Western bluebird Western scrub-jay Western grebe Western tanager Western kingbird Western wood pewee Western meadowlark Whip-poor-will Y Y Y Y Y White-breasted nuthatch White-crowned sparrow White-faced ibis White-tailed ptarmigan White-throated sparrow White-throated swift Wild turkey Y Y Y Y Y Y Y Y Y Y Y Y Y Willet Williamson’s sapsucker Willow flycatcher Wilson’s phalarope Wilson’s warbler Wood duck Yellow warbler Y Y Y Y Y Y Y Y Yellow-billed cuckoo Yellow-breasted chat Yellow-headed blackbird Yellow-rumped warbler Zone-tailed hawk

Mammals Abert’s squirrel Y Y Y American marten Badger Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Banner-tailed kangaroo rat Beaver Big brown bat Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Big free-tailed bat Bighorn sheep Y Y Y Y Y Y Y Y Y Black bear Y Y Y Y Y Y Y Y Y Black-tailed jack rabbit

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 51 Y

Y Y

Y Y

Aquatic

YYY

Y

Y

YY

YYYYY

Y

YYYY YYYYY YYYY YY

YYYYY YYY

YYYY YY

Woodland Grassland/desert scrub

YY YYYY YY

YYYYY

YY Y YYYY

YY YYYYYYY

YYY YYYYY

Y Y

YYY YYY

YYYYYY

YYYYYYYYYYY

YYYYYY

YYYY YYY

YY YYYYY YYYYYYYYY YY Y YYYYYY YYY Y

Y

Y

Y

YYYY Y YY

YYYY YY YY

YYYY YYY YYYY Y

YYY YY Y Y YYYY

YYYY YYY Y YYY

Montane habitats

Y

Y YYY YY YYYYY YYY YYYYYYYYYYY

Y

YYYYYY Y

1111 1112 2111 2112 2121 2122 3111 4111 5110 3121 3122 3222 4211 4212 5121 5122 5211 5212 5221 6120 9120 9410 9420

Appendix C. (Cont’d.)

Mammals Black-tailed prairie dog Bobcat Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Botta’s pocket gopher Brazilian free-tailed bat Brush mouse Bushy-tailed woodrat California myotis Colorado chipmunk Common raccoon Coyote Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Deer mouse Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Desert cottontail Desert shrew Dwarf shrew Y Y Y Elk Y Y Y Ermine Y Y Y Y Y Y Y Y Y Fringed myotis Y Y Y Y Y Y Y Y Y Y Y Y Y Golden-mantled ground squirrel Y Y Y Y Y Y Y Y Y Y Gray fox Y Y Y Y Y Y Y Y Y Y Y Y Y Gunnison’s prairie dog Heather vole Y Y Y Y Hispid cotton rat Hispid pocket mouse Hoary bat Y Y Y Y Y Y Y Y Y Y Y Y Y Y Kit/Swift fox Least chipmunk Y Y Y Y Y Y Y Y Y Y Little brown myotis Long-eared myotis Long-legged myotis Merriam’s kangaroo rat Long-tailed vole Y Y Y Y Y Y Y Y Y Y Y Y Mexican woodrat Long-tailed weasel Mink Masked shrew Y Y Y Y Y Y Y Y Y Y Y Y Montane shrew Y Y Y Y Y Meadow jumping mouse Montane vole Y Y Y Y Y Y Meadow vole Mountain lion Y Y Y Y Y Y Y Y Y Y Y Y Y Mule deer Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Muskrat Northern grasshopper mouse Northern pocket gopher Northern rock mouse

52 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 Y

Aquatic

YY

YY

YY

YYYYY

YYY

YYYY

YY

YYYYYY

YY Y Y Y

YYYYY YY

YYYYYYYYY

YYYY YYY Y

YYYY YYY Y

Y

Woodland Grassland/desert scrub

YY YYYY YYY Y

YY YYYY Y

YY YYY Y

YY

YY YYYY YYYY YY YYY YYYYY

Y

YYY YYY Y Y

YYYYYY YY YY

YYYY

YYYYYY YYY YYY Y

YYY

YYYYYYYYY Y Y Y

YYYY YY YYY Y YY

YY YYYYYYY Y YYYYY

YYYYY YY YY Y

YYY Y

Montane habitats

Y

YYY YYYY YYY YYYYYYYYY

Y

YYYYYYYY YY

YYYYYYY YYY YYYY Y

YYYYYYY YYY

1111 1112 2111 2112 2121 2122 3111 4111 5110 3121 3122 3222 4211 4212 5121 5122 5211 5212 5221 6120 9120 9410 9420

Appendix C. (Cont’d.)

Mammals Nuttall’s cottontail Ord’s kangaroo rat Pallid bat Y Y Y Y Y Y Y Y Y Y Y Y Pika Y Y Y Y Y Y Y Y Pinon mouse Plains harvest mouse Plains pocket gopher Plains pocket mouse Porcupine Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Prairie vole Pronghorn Red fox Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Red squirrel Y Y Y Ringtail Y Y Y Y Y Y Y Y Y Y Y Y Y Rock pocket mouse Rock squirrel Y Y Y Y Y Y Y Y Y Y Y Y Silky pocket mouse Silver-haired bat Small-footed myotis Snowshoe hare Y Y Y Y Y Southern plains woodrat Southern red-backed vole Spotted bat Y Y Y Y Y Y Y Y Y Spotted ground squirrel Stephen’s woodrat Striped skunk Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Tawny-bellied cotton rat Thirteen-lined ground squirrel Townsend’s big-eared bat Virginia opossum Water shrew Western harvest mouse Western jumping mouse Western pipistrelle Western spotted skunk White-footed mouse White-tailed antelope squirrel White-tailed jack rabbit White-throated woodrat Yellow-bellied marmot Yellow-faced pocket gopher Yuma myotis

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 53 Y

Aquatic

YY

YYY

YYY

YYY

YYY

YY YY

YY Y

YYYYY YY

YYYY YY

YYYY Y

YYYY YY

YYYYY

Y

Woodland Grassland/desert scrub

YYY Y Y YY

YYYY Y YY

YYYYY Y YY Y

YYYYYY Y YY YYYYYYYY YY YY Y Y YYYYYY Y YY YYY YYY YYY

YYYYY YYY YY

YYYYYY Y

YYY

YYY

YYYYYYYYYYYY

YYYYYYY

YYYY

YY Y YYYYY YY

YY YYYYYY Y YY YY

YY Y YYYYYY YYYY Y

YYYY YYY YY Y YY

YY

YYY YYY YY

Montane habitats

YYY YYY Y

YYY Y YY

Y

YYYYYY YYYYYYYYYY Y

1111 1112 2111 2112 2121 2122 3111 4111 5110 3121 3122 3222 4211 4212 5121 5122 5211 5212 5221 6120 9120 9410 9420

Appendix C. (Cont’d.)

Reptiles Blackneck garter snake Blacktail rattlesnake Checkered garter snake Checkered whiptail Chihuahuan spotted whiptail Y Y Y Y Y Y Y Y Y Y Coachwhip Y Y Y Y Y Y Y Y Y Y Y Y Collared lizard Y Y Y Y Y Y Y Y Y Y Common garter snake Common kingsnake Corn snake Y Y Y Y Y Y Y Y Y Y Y Desert spiny lizard Glossy snake Y Y Y Y Y Y Y Y Y Y Y Gopher snake Y Y Y Y Y Y Y Y Y Y Y Great plains skink Greater earless lizard Leopard lizard Lesser earless lizard Lined snake Little striped whiptail Longnose snake Many-lined skink Massasauga Milk snake Y Y Y Y Y Y Y Y Y Mountain patchnose snake New Mexico whiptail Night snake Y Y Y Y Y Y Y Y Y Y Ornate box turtle Painted turtle Plains black-headed snake Plains garter snake Plateau striped whiptail Prairie lizard Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Ringneck snake Y Y Y Y Y Y Y Y Y Roundtail horned lizard Sagebrush lizard Short-horned lizard Side-blotched lizard Slider Smooth green snake Snapping turtle Spiny softshell Striped whipsnake Texas blind snake Tree lizard Y Y Y Y Y Y Y Y Y Y Y Y Western diamondback rattlesnake Y Y Y Y Y Y Y Y Y Y Y

54 USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 Y

Y

Aquatic

YYYY

YYYY

YYYY YY

YYY Y

YYY Y

YYYYYYY YYY

YYYY

Woodland Grassland/desert scrub

Y

YY YYY YY YY

YY YYY YYYYY

YY YY YYY YYY Y Y

YY YY YYY YY Y

Montane habitats

YYYY YYYYYYYYYY YY

YYYY YYY YY YYYY

YYYYYYY YYY YYY YYYYY

1111 1112 2111 2112 2121 2122 3111 4111 5110 3121 3122 3222 4211 4212 5121 5122 5211 5212 5221 6120 9120 9410 9420

Reptiles Western hognose snake Appendix C. (Cont’d.) Western rattlesnake Western terrestrial garter snake Y Y Y Y Y Y Y Y Y Y Y Y Yellow mud turtle

Amphibians Canyon treefrog Couch’s spadefoot Great Plains toad Jemez Mountains salamander Y Y Y Y New Mexico spadefoot Northern leopard frog Plains leopard frog Plains spadefoot Red-spotted toad Tiger salamander Western chorus frog Western toad

Woodhouse’s toad

USDA Forest Service Gen. Tech. Rep. RMRS-GTR-58. 2000 55 RMRS ROCKY MOUNTAIN RESEARCH STATION

The Rocky Mountain Research Station develops scientific informa- tion and technology to improve management, protection, and use of the forests and rangelands. Research is designed to meet the needs of National Forest managers, Federal and State agencies, public and private organizations, academic institutions, industry, and individuals. Studies accelerate solutions to problems involving ecosystems, range, forests, water, recreation, fire, resource inventory, land recla- mation, community sustainability, forest engineering technology, multiple use economics, wildlife and fish habitat, and forest and diseases. Studies are conducted cooperatively, and applications may be found worldwide.

Research Locations

Flagstaff, Arizona Reno, Nevada Fort Collins, Colorado* Albuquerque, New Mexico Boise, Rapid City, South Dakota Moscow, Idaho Logan, Utah Bozeman, Montana Ogden, Utah Missoula, Montana Provo, Utah Lincoln, Nebraska Laramie,

*Station Headquarters, Natural Resources Research Center, 2150 Centre Avenue, Building A, Fort Collins, CO 80526

The U.S. Department of Agriculture (USDA) prohibits discrimination in all its programs and activities on the basis of race, color, national origin, sex, religion, age, disability, political beliefs, sexual orientation, or marital or family status. (Not all prohibited bases apply to all programs.) Persons with disabilities who require alternative means for communication of program information (Braille, large print, audiotape, etc.) should contact USDA’s TARGET Center at (202) 720-2600 (voice and TDD). To file a complaint of discrimination, write USDA, Director, Office of Civil Rights, Room 326-W, Whitten Building, 1400 Independence Avenue, SW, Washington, DC 20250-9410 or call (202) 720-5964 (voice or TDD). USDA is an equal opportunity provider and employer.

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