Phylogeography of Moose in Western North America
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Characterization of Moose Movement Patterns and Movement of Black Bears in Relation to Anthropogenic Food Sources on Joint Basse
Form Approved REPORT DOCUMENTATION PAGE OMB No. 074-0188 AD_________________ (Leave blank) Award Number(s): W81XWH-08-2-0179-0002 W912DY-09-2-0011 W9126G-10-2-0042 TITLE: Characterization of moose movement patterns and movement of black bears in relation to anthropogenic food sources on Joint Base Elmendorf- Richardson, Alaska PRINCIPAL INVESTIGATOR: (Enter the name and degree of Principal Investigator and any Associates) Sean D. Farley,Ph.D.; Perry Barboza, Ph.D ; Herman Griese, MS; Christopher Garner, BS CONTRACTING ORGANIZATION: 673d Civil Engineering Squadron 724 Quartermaster Drive Joint Base Elmendorf Richardson, Alaska 99505-8860 REPORT DATE: Sept 2014 TYPE OF REPORT: Final PREPARED FOR: U.S. Army Medical Research and Materiel Command Fort Detrick, Maryland 21702-5012 (W81XWH-08-2-0179-0002) Army Corps of Engineers U.S. Army Engineering and Support Center Huntsville, Alabama 35816-1822 (W912DY-09-2-0011) Army Corps of Engineers U.S. Army Engineering and Support Center Fort Worth, Texas 76102-0300 (W9126G-10-2-0042) DISTRIBUTION STATEMENT: (Check one) X Approved for public release; distribution unlimited Distribution limited to U.S. Government agencies only; report contains proprietary information The views, opinions and/or findings contained in this report are those of the author(s) and should not be construed as an official Department of the Army position, policy or decision unless so designated by other documentation. 1 Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. -
Alaska's Predator Control Programs
Alaska’sAlaska’s PredatorPredator ControlControl ProgramsPrograms Managing for Abundance or Abundant Mismanagement? In 1995, Alaska Governor Tony Knowles responded to negative publicity over his state’s predator control programs by requesting a National Academy of Sciences review of Alaska’s entire approach to predator control. Following the review Governor Knowles announced that no program should be considered unless it met three criteria: cost-effectiveness, scientific scrutiny and broad public acceptability. The National Academy of Sciences’ National Research Council (NRC) released its review, Wolves, Bears, and Their Prey in Alaska, in 1997, drawing conclusions and making recommendations for management of Alaska’s predators and prey. In 1996, prior to the release of the NRC report, the Wolf Management Reform Coalition, a group dedicated to promoting fair-chase hunting and responsible management of wolves in Alaska, published Showdown in Alaska to document the rise of wolf control in Alaska and the efforts undertaken to stop it. This report, Alaska’s Predator Control Programs: Managing for Abundance or Abundant Mismanagement? picks up where that 1996 report left off. Acknowledgements Authors: Caroline Kennedy, Theresa Fiorino Editor: Kate Davies Designer: Pete Corcoran DEFENDERS OF WILDLIFE Defenders of Wildlife is a national, nonprofit membership organization dedicated to the protection of all native wild animals and plants in their natural communities. www.defenders.org Cover photo: © Nick Jans © 2011 Defenders of Wildlife 1130 17th Street, N.W. Washington, D.C. 20036-4604 202.682.9400 333 West 4th Avenue, Suite 302 Anchorage, AK 99501 907.276.9453 Table of Contents 1. Introduction ............................................................................................................... 2 2. The National Research Council Review ...................................................................... -
Removing the Gray Wolf (Canis Lupus) from the List of Endangered
References Cited for the Proposed Rule “Removing the Gray Wolf (Canis lupus) from the List of Endangered and Threatened Wildlife and Maintaining Protections for the Mexican Wolf (Canis lupus baileyi) by Listing It as Endangered” Adams, L.G., R.O. Stephenson, B.W. Dale, R.T. Ahgook, and D. J. Demma. 2008. Population dynamics and harvest characteristics of wolves in the central Brooks Range, Alaska. Wildlife Monographs 170: 1-25. Adaptive Management Oversight Committee and Interagency Field Team [AMOC and IFT]. 2005. Mexican wolf Blue Range reintroduction project 5-year review. Unpublished report to U.S. Fish and Wildlife Service, Region 2, Albuquerque, New Mexico, USA. http://www.fws.gov/southwest/es/mexicanwolf/MWNR_FYRD.shtml Anschutz, Steve. 2003. E-mail from Anschutz, USFWS Nebraska Field Office Supervisor to Laura Ragan, USFWS Regional Office, Ft. Snelling, MN, dated 04/01/03. Subject: gray wolf shot. 1 p. Anschutz, Steve. 2006. E-mail from Anschutz, USFWS Nebraska Field Office Supervisor to Ron Refsnider, USFWS Regional Office, Ft. Snelling, MN, dated 10/30/06. Subject: Nebraska wolf from 1995? Arizona Department of Health Services. 2012. Rabies Statistics and Maps, 2008-2012. www.azdhs.gov/phs/oids/vector/rabies/stats.htm. Accessed on July 23, 2012. Alaska Department of Fish and Game. 2007. Predator management in Alaska. Alaska Department of Fish and Game Division of Wildlife Conservation. 32pp. Alaska Department of Fish and Game. 2011. 2011-2012 Alaska trapping regulations. Alaska Department of Fish and Game. 48pp. Allendorf, F.W. and N. Ryman. 2002. The role of genetics in population viability analysis. Pages 50-85 in Beissinger, S.R., and D.R. -
Supplementary Material
Adaptation of mammalian myosin II sequences to body mass Mark N Wass*1, Sarah T Jeanfavre*1,2, Michael P Coghlan*1, Martin Ridout#, Anthony J Baines*3 and Michael A Geeves*3 School of Biosciences*, and School of Mathematics#, Statistics and Actuarial Science, University of Kent, Canterbury, UK 1. Equal contribution 2. Current address: Broad Institute, 415 Main Street, 7029-K, Cambridge MA 02142 3. Joint corresponding authors Key words: selection, muscle contraction, mammalian physiology, heart rate Address for correspondence: Prof M.A.Geeves School of Biosciences, University of Kent, Canterbury CT1 7NJ UK [email protected] tel 44 1227827597 Dr A J Baines School of Biosciences, University of Kent, Canterbury CT1 7NJ UK [email protected] tel 44 1227 823462 SUPPLEMENTARY MATERIAL Supplementary Table 1. Source of Myosin sequences and the mass of each species used in the analysis of Fig 1 & 2 Species Isoform Mass Skeletal Skeletal Embryonic Skeletal α- β-cardiac Perinatal Non- Non- Smooth Extraocular Slow (kg) 2d/x 2a 2b cardiac muscle A muscle B Muscle Tonic Human P12882 Q9UKX2 251757455 Q9Y623 P13533 P12883 P13535 P35579 219841954 13432177 110624781 599045671 68a Bonobo 675746236 397494570 675746242 675746226 397473260 397473262 675746209 675764569 675746138 675746206 675798456 45.5a Macaque 544497116 544497114 544497126 109113269 544446347 544446351 544497122 383408157 384940798 387541766 544497107 544465262 6.55b Tarsier 640786419 640786435 640786417 640818214 640818212 640786413 640796733 640805785 640786411 640822915 0.1315c -
Moose Survey Report 2013
AERIAL MOOSE SURVEY on and around KANUTI NATIONAL WILDLIFE REFUGE November, 2013 Tim Craig US Fish and Wildlife Service and Glenn W. Stout Alaska Department of Fish and Game February 2014 DATA SUMMARY Survey Dates: 12- 18 November (Intensive survey only) Total area covered by survey: Kanuti National Wildlife Refuge (hereafter, Refuge) Survey Area: 2,715 mi2 (7,029 km2); Total Survey Area: 3,736 mi2 (9676 km2) Total Number sample units Refuge Survey Area: 508; Total Survey Area: 701 Number of sample units surveyed: Refuge Survey Area: 105; Total Survey Area: 129 Total moose observed: Refuge Survey Area: 259 moose (130 cows, 95 bulls, and 34 calves); Total Survey Area: 289 moose (145 cows, 105 bulls, 39 calves) November population estimate: Refuge Survey Area: 551 moose (90% confidence interval = 410 - 693) comprised of 283 cows, 183 bulls, and 108 calves*; Total Survey Area: 768 moose (90% confidence interval = 589 – 947) comprised of 387 cows, 257 bulls, 144 calves*. *Subtotals by class do not equal the total population because of accumulated error associated with each estimate. Estimated total density: Refuge Survey Area: 0.20 moose/mi2 (0.08 moose/km2); Total Survey Area: 0.21 moose/mi2 (0.08 moose/km2) Estimated ratios: Refuge survey area: 36 calves:100 cows, 11 yearling bulls:100 cows, 37 large bulls:100 cows, 65 total bulls:100 cows; Total Survey Area: 35 calves:100 cows, 11 yearling bulls:100 cows, 40 large bulls:100 cows, 67 total bulls:100 cows 2 INTRODUCTION The Kanuti National Wildlife Refuge (hereafter, Refuge), the Alaska Department of Fish and Game (ADF&G) and the Bureau of Land Management cooperatively conducted a moose (Alces alces) population survey 12 - 18 November 2013 on, and around, the Refuge. -
Evolutionary History of Carnivora (Mammalia, Laurasiatheria) Inferred
bioRxiv preprint doi: https://doi.org/10.1101/2020.10.05.326090; this version posted October 5, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. This article is a US Government work. It is not subject to copyright under 17 USC 105 and is also made available for use under a CC0 license. 1 Manuscript for review in PLOS One 2 3 Evolutionary history of Carnivora (Mammalia, Laurasiatheria) inferred 4 from mitochondrial genomes 5 6 Alexandre Hassanin1*, Géraldine Véron1, Anne Ropiquet2, Bettine Jansen van Vuuren3, 7 Alexis Lécu4, Steven M. Goodman5, Jibran Haider1,6,7, Trung Thanh Nguyen1 8 9 1 Institut de Systématique, Évolution, Biodiversité (ISYEB), Sorbonne Université, 10 MNHN, CNRS, EPHE, UA, Paris. 11 12 2 Department of Natural Sciences, Faculty of Science and Technology, Middlesex University, 13 United Kingdom. 14 15 3 Centre for Ecological Genomics and Wildlife Conservation, Department of Zoology, 16 University of Johannesburg, South Africa. 17 18 4 Parc zoologique de Paris, Muséum national d’Histoire naturelle, Paris. 19 20 5 Field Museum of Natural History, Chicago, IL, USA. 21 22 6 Department of Wildlife Management, Pir Mehr Ali Shah, Arid Agriculture University 23 Rawalpindi, Pakistan. 24 25 7 Forest Parks & Wildlife Department Gilgit-Baltistan, Pakistan. 26 27 28 * Corresponding author. E-mail address: [email protected] bioRxiv preprint doi: https://doi.org/10.1101/2020.10.05.326090; this version posted October 5, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. This article is a US Government work. -
Speciation Network in Laurasiatheria: Retrophylogenomic Signals
Downloaded from genome.cshlp.org on June 1, 2017 - Published by Cold Spring Harbor Laboratory Press Research Speciation network in Laurasiatheria: retrophylogenomic signals Liliya Doronina,1 Gennady Churakov,1,2,5 Andrej Kuritzin,3 Jingjing Shi,1 Robert Baertsch,4 Hiram Clawson,4 and Jürgen Schmitz1,5 1Institute of Experimental Pathology, ZMBE, University of Münster, 48149 Münster, Germany; 2Institute for Evolution and Biodiversity, University of Münster, 48149 Münster, Germany; 3Department of System Analysis, Saint Petersburg State Institute of Technology, 190013 St. Petersburg, Russia; 4Department of Biomolecular Engineering, University of California, Santa Cruz, California 95064, USA Rapid species radiation due to adaptive changes or occupation of new ecospaces challenges our understanding of ancestral speciation and the relationships of modern species. At the molecular level, rapid radiation with successive speciations over short time periods—too short to fix polymorphic alleles—is described as incomplete lineage sorting. Incomplete lineage sorting leads to random fixation of genetic markers and hence, random signals of relationships in phylogenetic reconstruc- tions. The situation is further complicated when you consider that the genome is a mosaic of ancestral and modern incom- pletely sorted sequence blocks that leads to reconstructed affiliations to one or the other relative, depending on the fixation of their shared ancestral polymorphic alleles. The laurasiatherian relationships among Chiroptera, Perissodactyla, Cetartiodactyla, and Carnivora present a prime example for such enigmatic affiliations. We performed whole-genome screenings for phylogenetically diagnostic retrotransposon insertions involving the representatives bat (Chiroptera), horse (Perissodactyla), cow (Cetartiodactyla), and dog (Carnivora), and extracted among 162,000 preselected cases 102 virtually homoplasy-free, phylogenetically informative retroelements to draw a complete picture of the highly complex evolutionary relations within Laurasiatheria. -
Arms Race of Temporal Partitioning Between Carnivorous And
www.nature.com/scientificreports OPEN Arms race of temporal partitioning between carnivorous and herbivorous mammals Received: 26 October 2017 Yonghua Wu1,2, Haifeng Wang3, Haitao Wang4 & Jiang Feng2,5 Accepted: 12 January 2018 Reciprocal coevolutionary changes in predation and anti-predator behaviours have long been Published: xx xx xxxx hypothesized, but evolutionary-scale evidence is rare. Here, we reconstructed the evolutionary-scale changes in the diel activity patterns of a predator-prey system (carnivorous and herbivorous mammals) based on a molecular phyloecological approach, providing evidence of long-term antagonistic coevolutionary changes in their diel activities. Our molecular reconstruction of diel activity patterns, which is supported by morphological evidence, consistently showed that carnivorous mammals were subjected to a shift from diurnality to nocturnality, while herbivorous mammals experienced a shift from nocturnality to diurnality during their evolutionary histories. A shift in the diel activity of the herbivores as a result of carnivore avoidance is hypothesized based on molecular, morphological and behavioural evidence, and our results suggest an evolutionary-scale arms race of diel activity shifts between carnivorous and herbivorous mammals. Interactions between carnivorous and herbivorous mammals, representing one of the classic coevolutionary sys- tems, lead to long-term reciprocal evolutionary changes in predation and anti-predator behaviours1. Among carnivorous mammals, felids (Felidae) and canids (Canidae) are the main predators of herbivorous mammals (e.g., ungulates)2. Tese carnivores (felids and canids) and ungulates show diferentiated diel activity patterns, with most felids and canids being mainly nocturnal, while ungulates are primarily diurnal3,4. Given the difer- entiation of their diel activity patterns, one possibility is that the diurnality of ungulates may have evolved as an anti-predator behaviour. -
Technical Note Usda Natural Resources Conservation Service Alaska
TECHNICAL NOTE USDA NATURAL RESOURCES CONSERVATION SERVICE ALASKA Alaska Biology Technical Note – No. 1 HABITAT ENHANCEMENT for MOOSE in BOREAL ALASKA Introduction Moose evolved in Eurasia and migrated to North America over the Bering Land Bridge during the Pleistocene. Moose have been an important part of Alaska Native subsistence culture for millennia. In addition to being one of the most familiar large mammals in the state, they are also one of the most sought-after wildlife species in Alaska. Harvest is over 7,000 animals per year which yields millions of pounds of meat for human consumption. Wildlife management seeks to manage wildlife populations at an optimum abundance and provide sustainable harvest, maintain a desired nutritional or health condition of wildlife species and their forage plants, and provide for non- consumptive uses, such as wildlife viewing. Abundance of moose is constrained by hunting, predation, other sources of natural mortality (e.g., winter severity) as Moose. Photo courtesy of US Fish & Wildlife Service. well as the quantity and quality of available habitat. In the boreal forest, productive moose habitat is largely maintained by stochastic wildland fire in uplands and more regular fluvial action constrained to riparian corridors. During most years in Alaska, over one million acres of forest is burned. Many of these fires create optimal moose habitat for 20 – 30 years until preferred forage species like aspen, birch, and poplar grow out of the reach of moose or are replaced by non-forage species, typically spruce. Intensive foraging by high density moose populations can accelerate successional change from preferred forage species to non-preferred species. -
September 2018
DSC NEWSLETTER VOLUME 31,Camp ISSUE 8 TalkSEPTEMBER 2018 DSC Heartland Chapter Gets Kids Outside n late July, DSC Heartland hosted a youth IHunter Education certification course in IN THIS ISSUE Nebraska. This was done through a joint effort with the Nebraska Game and Parks doing most Letter from the President .....................1 of the advertising for us and providing us with Outdoor Youth Event .............................4 all the teaching materials necessary along with Photo Contest .........................................5 the test form. Papillion Gun Club in Papillion, Auction Donations .................................6 Nebraska was our host providing facilities for Convention Registration ....................22 Hotel Reservations ..............................25 a classroom setting and kitchen. Lunch was DSC Foundation ...................................27 provided for both kids and parents. Trophy Awards .....................................28 At their top-notch trap shooting facility, the DSC 100 Photos ....................................28 chapter held a youth clinic for the kids that chose Obituary ..................................................29 to stay and participate after the hunter ed course Texas Game Warden Graduation....30 was completed. Instructors took each of the kids DSC New Mexico Gala ......................31 one by one to the trap shooting range and taught Happy Hill Farm ....................................32 them proper shooting techniques. They live-fired After a youth Hunter Ed course, DSC Heartland -
A Special Program for Secondary Schools in Bristol Bay
DOCUMNNT RNSUPIR RC 003 626 ED 032 173 By-Holthaus, Cary H. Bristol Bay. Teaching Eskimo Culture to Eskimo Students:A Special Program for Secondary Schools in Pub Date May 68 Note -215p. EDRS Price MF -$1.00 HC Not Availablefrom EDRS. *Eskimos.HistoryInstruction, Descriptors -*Biculturalism,CultureConflict.*Curriculum Development. Instructional Materials, LanguageInstruction, *Resource Materials.Rural Areas, Secondary Education, *Social Studies Identifiers-Alaska, Aleuts, Bristol Bay Eskimo youth in Bristol Bay,Alaska. caught between the clashof native and white cultures, have difficultyidentifying with either culture.The curriculum in Indian schools in the area. gearedprimarily to white middle-classstandards. is not relevant to the students. Textbooks andstandardized tests, based onexperiences common to a white culture, hold little meaningfor Eskimo students.Teachers unfamiliar with Eskimo traditions and culture areunable to understand orcommunicate with the native people. Since the existingcurriculum in Bristol Bayschools ignores thestudents' cultural background. theauthor considers the creationof a unified multi-semester social studies curriculumabout the native heritage as amethod of dealing with students' problems. This paper. as afirst step in creating such acurriculum, can and is directed serve as a sourcematerial for informationabout the Bristol Bay area. toward the developmentof a one semester secondarylevel course in native history of the paper consists ofmaterial about the history. and culture. A major portion folklore of geography. -
Conservation Strategies for Species Affected by Apparent Competition
Conservation Practice and Policy Conservation Strategies for Species Affected by Apparent Competition HEIKO U. WITTMER,∗ ROBERT SERROUYA,† L. MARK ELBROCH,‡ AND ANDREW J. MARSHALL§ ∗School of Biological Sciences, Victoria University of Wellington, P.O. Box 600, Wellington 6140, New Zealand email [email protected] †Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada ‡Department of Wildlife, Fish, and Conservation Biology, University of California, Davis, CA 95616, U.S.A. §Department of Anthropology, University of California, Davis, CA 95616, U.S.A. Abstract: Apparent competition is an indirect interaction between 2 or more prey species through a shared predator, and it is increasingly recognized as a mechanism of the decline and extinction of many species. Through case studies, we evaluated the effectiveness of 4 management strategies for species affected by apparent competition: predator control, reduction in the abundances of alternate prey, simultaneous control of predators and alternate prey, and no active management of predators or alternate prey. Solely reducing predator abundances rapidly increased abundances of alternate and rare prey, but observed increases are likely short-lived due to fast increases in predator abundance following the cessation of control efforts. Sub- stantial reductions of an abundant alternate prey resulted in increased predation on endangered huemul (Hippocamelus bisulcus) deer in Chilean Patagonia, which highlights potential risks associated with solely reducing alternate prey species. Simultaneous removal of predators and alternate prey increased survival of island foxes (Urocyon littoralis) in California (U.S.A.) above a threshold required for population recovery. In the absence of active management, populations of rare woodland caribou (Rangifer tarandus caribou) continued to decline in British Columbia, Canada.