Iiwi (Drepanis Coccinea) Species Status Report
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Non-Native Trees Provide Habitat for Native Hawaiian Forest Birds
NON-NATIVE TREES PROVIDE HABITAT FOR NATIVE HAWAIIAN FOREST BIRDS By Peter J. Motyka A Thesis Submitted in Partial Fulfillment Of the Requirements for the Degree of Master of Science In Biology Northern Arizona University December 2016 Approved: Jeffrey T. Foster, Ph.D., Co-chair Tad C. Theimer, Ph. D., Co-chair Carol L. Chambers, Ph. D. ABSTRACT NON-NATIVE TREES PROVIDE HABITAT FOR NATIVE HAWAIIAN FOREST BIRDS PETER J. MOTYKA On the Hawaiian island of Maui, native forest birds occupy an area dominated by non- native plants that offers refuge from climate-limited diseases that threaten the birds’ persistence. This study documented the status of the bird populations and their ecology in this novel habitat. Using point-transect distance sampling, I surveyed for birds over five periods in 2013-2014 at 123 stations across the 20 km² Kula Forest Reserve (KFR). I documented abundance and densities for four native bird species: Maui ‘alauahio (Paroreomyza montana), ʻiʻiwi (Drepanis coccinea), ʻapapane (Himatione sanguinea), and Hawaiʻi ʻamakihi, (Chlorodrepanis virens), and three introduced bird species: Japanese white-eye (Zosterops japonicas), red-billed leiothrix (Leiothrix lutea), and house finch (Haemorhous mexicanus). I found that 1) native forest birds were as abundant as non-natives, 2) densities of native forest birds in the KFR were similar to those found in native forests, 3) native forest birds showed varying dependence on the structure of the habitats, with ʻiʻiwi and ‘alauahio densities 20 and 30 times greater in forest than in scrub, 4) Maui ‘alauahio foraged most often in non-native cape wattle, eucalyptus, and tropical ash, and nested most often in non-native Monterey cypress, Monterey pine, and eucalyptus. -
Can Hawaii Meet Its Renewable Fuel Target? Case Study of Banagrass-Based Cellulosic Ethanol
International Journal of Geo-Information Article Can Hawaii Meet Its Renewable Fuel Target? Case Study of Banagrass-Based Cellulosic Ethanol Chinh Tran * and John Yanagida Department of Natural Resources and Environmental Management, University of Hawaii at Manoa, 1910 East-West Road, Honolulu, HI 96822, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-808-956-4065 Academic Editors: Shih-Lung Shaw, Qingquan Li, Yang Yue and Wolfgang Kainz Received: 9 March 2016; Accepted: 8 August 2016; Published: 16 August 2016 Abstract: Banagrass is a biomass crop candidate for ethanol production in the State of Hawaii. This study examines: (i) whether enough banagrass can be produced to meet Hawaii’s renewable fuel target of 20% highway fuel demand produced with renewable sources by 2020 and (ii) at what cost. This study proposes to locate suitable land areas for banagrass production and ethanol processing, focusing on the two largest islands in the state of Hawaii—Hawaii and Maui. The results suggest that the 20% target is not achievable by using all suitable land resources for banagrass production on both Hawaii and Maui. A total of about 74,224,160 gallons, accounting for 16.04% of the state’s highway fuel demand, can be potentially produced at a cost of $6.28/gallon. Lower ethanol cost is found when using a smaller production scale. The lowest cost of $3.31/gallon is found at a production processing capacity of about 9 million gallons per year (MGY), which meets about 2% of state demand. This cost is still higher than the average imported ethanol price of $3/gallon. -
The Relationships of the Hawaiian Honeycreepers (Drepaninini) As Indicated by Dna-Dna Hybridization
THE RELATIONSHIPS OF THE HAWAIIAN HONEYCREEPERS (DREPANININI) AS INDICATED BY DNA-DNA HYBRIDIZATION CH^RrES G. SIBLEY AND Jo• E. AHLQUIST Departmentof Biologyand PeabodyMuseum of Natural History, Yale University, New Haven, Connecticut 06511 USA ABSTRACT.--Twenty-twospecies of Hawaiian honeycreepers(Fringillidae: Carduelinae: Drepaninini) are known. Their relationshipsto other groups of passefineswere examined by comparing the single-copyDNA sequencesof the Apapane (Himationesanguinea) with those of 5 speciesof carduelinefinches, 1 speciesof Fringilla, 15 speciesof New World nine- primaried oscines(Cardinalini, Emberizini, Thraupini, Parulini, Icterini), and members of 6 other families of oscines(Turdidae, Monarchidae, Dicaeidae, Sylviidae, Vireonidae, Cor- vidae). The DNA-DNA hybridization data support other evidence indicating that the Hawaiian honeycreepersshared a more recent common ancestorwith the cardue!ine finches than with any of the other groupsstudied and indicate that this divergenceoccurred in the mid-Miocene, 15-20 million yr ago. The colonizationof the Hawaiian Islandsby the ancestralspecies that radiated to produce the Hawaiian honeycreeperscould have occurredat any time between 20 and 5 million yr ago. Becausethe honeycreeperscaptured so many ecologicalniches, however, it seemslikely that their ancestor was the first passefine to become established in the islands and that it arrived there at the time of, or soon after, its separationfrom the carduelinelineage. If so, this colonist arrived before the present islands from Hawaii to French Frigate Shoal were formed by the volcanic"hot-spot" now under the island of Hawaii. Therefore,the ancestral drepaninine may have colonizedone or more of the older Hawaiian Islandsand/or Emperor Seamounts,which also were formed over the "hot-spot" and which reachedtheir present positions as the result of tectonic crustal movement. -
Hawaii Volcanoes National Park Cycle 5 Report
Road Inventory and Condition Assessment Hawaii Volcanoes National Park HAVO Cycle 5 Report Prepared By: Federal Highway Administration Road Inventory Program (RIP) Data Collected: 04/2014 Report Date: 11/2014 Hawaii Volcanoes National Park in Hawaii HAWAIIKAUAI OAHU MOLOKAI LANAI HAWAIIMAUI HAWAII Hawaii Volcanoes National Park Sources: Esri, HERE, DeLorme, TomTom, Intermap, increment P Corp., GEBCO, USGS, FAO, NPS, NRCAN, GeoBase, IGN, Kadaster NL, Ordnance Survey, Esri Japan, METI, Esri China (Hong Kong), Sources: Esri, GEBCO, NOAA, National Geographic, DeLorme, HERE, Geonames.org, and other contributors DCV = Data Collection Vehicle TABLE OF CONTENTS SECTION PAGE 1 INTRODUCTION 1-1 2 PARK ROUTE INVENTORY Route ID, Subcomponent, and Changes Reports 2-1 3 PARK SUMMARY INFORMATION Paved Route Miles and Percentages by Functional Class and PCR 3-1 DCV Road Condition Summary 3-3 Parkwide DCV Condition Summary 3-7 4 PARK ROUTE LOCATION MAPS Route Location Key Map 4-1 Route Location Area Map 4-2 Route Condition Key Map – PCR Mile by Mile 4-9 Route Condition Area Map – PCR Mile by Mile 4-10 5 PAVED ROUTE CONDITION RATING SHEETS 5-1 6 MANUALLY RATED PAVED ROUTE CONDITION RATING SHEETS 6-1 6A: Condition Rating Sheets from April 2014 6-2 6B: Condition Rating Sheets from January 2012 6-21 7 PARKING AREA CONDITION RATING SHEETS 7-1 7A: Condition Rating Sheets from April 2014 7-2 7B: Condition Rating Sheets from January 2012 7-69 8 PARKWIDE / ROUTE MAINTENANCE FEATURES SUMMARIES Parkwide Maintenance Features Summary 8-1 Route Maintenance Features -
25 Using Community Group Monitoring Data to Measure The
25 Using Community Group Monitoring Data To Measure The Effectiveness Of Restoration Actions For Australia's Woodland Birds Michelle Gibson1, Jessica Walsh1,2, Nicki Taws5, Martine Maron1 1Centre for Biodiversity and Conservation Science, School of Earth and Environmental Sciences, University of Queensland, St Lucia, Brisbane, 4072, Queensland, Australia, 2School of Biological Sciences, Monash University, Clayton, Melbourne, 3800, Victoria, Australia, 3Greening Australia, Aranda, Canberra, 2614 Australian Capital Territory, Australia, 4BirdLife Australia, Carlton, Melbourne, 3053, Victoria, Australia, 5Greening Australia, PO Box 538 Jamison Centre, Macquarie, Australian Capital Territory 2614, Australia Before conservation actions are implemented, they should be evaluated for their effectiveness to ensure the best possible outcomes. However, many conservation actions are not implemented under an experimental framework, making it difficult to measure their effectiveness. Ecological monitoring datasets provide useful opportunities for measuring the effect of conservation actions and a baseline upon which adaptive management can be built. We measure the effect of conservation actions on Australian woodland ecosystems using two community group-led bird monitoring datasets. Australia’s temperate woodlands have been largely cleared for agricultural production and their bird communities are in decline. To reverse these declines, a suite of conservation actions has been implemented by government and non- government agencies, and private landholders. We analysed the response of total woodland bird abundance, species richness, and community condition, to two widely-used actions — grazing exclusion and replanting. We recorded 139 species from 134 sites and 1,389 surveys over a 20-year period. Grazing exclusion and replanting combined had strong positive effects on all three bird community metrics over time relative to control sites, where no actions had occurred. -
Hawaiʻi Board on Geographic Names Correction of Diacritical Marks in Hawaiian Names Project - Hawaiʻi Island
Hawaiʻi Board on Geographic Names Correction of Diacritical Marks in Hawaiian Names Project - Hawaiʻi Island Status Key: 1 = Not Hawaiian; 2 = Not Reviewed; 3 = More Research Needed; 4 = HBGN Corrected; 5 = Already Correct in GNIS; 6 = Name Change Status Feat ID Feature Name Feature Class Corrected Name Source Notes USGS Quad Name 1 365008 1940 Cone Summit Mauna Loa 1 365009 1949 Cone Summit Mauna Loa 3 358404 Aa Falls Falls PNH: not listed Kukuihaele 5 358406 ʻAʻahuwela Summit ‘A‘ahuwela PNH Puaakala 3 358412 Aale Stream Stream PNH: not listed Piihonua 4 358413 Aamakao Civil ‘A‘amakāō PNH HBGN: associative Hawi 4 358414 Aamakao Gulch Valley ‘A‘amakāō Gulch PNH Hawi 5 358415 ʻĀʻāmanu Civil ‘Ā‘āmanu PNH Kukaiau 5 358416 ʻĀʻāmanu Gulch Valley ‘Ā‘āmanu Gulch PNH HBGN: associative Kukaiau PNH: Ahalanui, not listed, Laepao‘o; Oneloa, 3 358430 Ahalanui Laepaoo Oneloa Civil Maui Kapoho 4 358433 Ahinahena Summit ‘Āhinahina PNH Puuanahulu 5 1905282 ʻĀhinahina Point Cape ‘Āhinahina Point PNH Honaunau 3 365044 Ahiu Valley PNH: not listed; HBGN: ‘Āhiu in HD Kau Desert 3 358434 Ahoa Stream Stream PNH: not listed Papaaloa 3 365063 Ahole Heiau Locale PNH: Āhole, Maui Pahala 3 1905283 Ahole Heiau Locale PNH: Āhole, Maui Milolii PNH: not listed; HBGN: Āholehōlua if it is the 3 1905284 ʻĀhole Holua Locale slide, Āholeholua if not the slide Milolii 3 358436 Āhole Stream Stream PNH: Āhole, Maui Papaaloa 4 358438 Ahu Noa Summit Ahumoa PNH Hawi 4 358442 Ahualoa Civil Āhualoa PNH Honokaa 4 358443 Ahualoa Gulch Valley Āhualoa Gulch PNH HBGN: associative Honokaa -
PDF Download Prevailing Trade Winds: Climate and Weather in Hawaii Kindle
PREVAILING TRADE WINDS: CLIMATE AND WEATHER IN HAWAII PDF, EPUB, EBOOK Marie Sanderson | 126 pages | 01 Feb 1994 | University of Hawai'i Press | 9780824814915 | English | Honolulu, HI, United States Prevailing Trade Winds: Climate and Weather in Hawaii PDF Book Usually by late morning, winds increase again due to the additional forcing effects from the sun. Annual weather conditions in Hawaii vary neigh. Still, we can look at the long-term trends and get a general idea of what to expect. Project Seasons of the Year on YouTube channel:. The persistent trades mean steady winds in summer months. These conditions are often accompanied by higher gusts above 40 kts. However, trends from one day to the next may be inferred. Received: 14 Feb Published Online: Oct This book is not yet featured on Listopia. The trade winds that continually blow across the island cause it to be permanently bent in one direction. Link Network. Community Reviews. Thanks for telling us about the problem. Past Climatic Changes Dennis Nullet. Currents are not well defined around the Hawaiian Islands. The best method to differentiate current direction and speed is visual observations of buoys and onboard instrumentation. The temperature falls about 3. Easterly Waves and Remnants of Tropical Cyclones: The most likely effect of tropical cyclones may come from the remains an earlier tropical cyclone or easterly wave. Cite Data - Experimental. Enjoy a CovidSafe visit to the National Library. Clouds on the leeward side often have localized cells that contain increased wind speed as a result of downdrafts. July 4 — Independence Day. Summer kau lasts from May through October, with high temperatures and reliable trade winds. -
PDF Linkchapter
Index (Italic page numbers indicate major references) Abalone Cove landslide, California, Badger Spring, Nevada, 92, 94 Black Dyke Formation, Nevada, 69, 179, 180, 181, 183 Badwater turtleback, California, 128, 70, 71 abatement districts, California, 180 132 Black Mountain Basalt, California, Abrigo Limestone, Arizona, 34 Bailey ash, California, 221, 223 135 Acropora, 7 Baked Mountain, Alaska, 430 Black Mountains, California, 121, Adams Argillite, Alaska, 459, 462 Baker’s Beach, California, 267, 268 122, 127, 128, 129 Adobe Range, Nevada, 91 Bald Peter, Oregon, 311 Black Point, California, 165 Adobe Valley, California, 163 Balloon thrust fault, Nevada, 71, 72 Black Prince Limestone, Arizona, 33 Airport Lake, California, 143 Banning fault, California, 191 Black Rapids Glacier, Alaska, 451, Alabama Hills, California, 152, 154 Barrett Canyon, California, 202 454, 455 Alaska Range, Alaska, 442, 444, 445, Barrier, The, British Columbia, 403, Blackhawk Canyon, California, 109, 449, 451 405 111 Aldwell Formation, Washington, 380 Basin and Range Province, 29, 43, Blackhawk landslide, California, 109 algae 48, 51, 53, 73, 75, 77, 83, 121, Blackrock Point, Oregon, 295 Oahu, 6, 7, 8, 10 163 block slide, California, 201 Owens Lake, California, 150 Basin Range fault, California, 236 Blue Lake, Oregon, 329 Searles Valley, California, 142 Beacon Rock, Oregon, 324 Blue Mountains, Oregon, 318 Tatonduk River, Alaska, 459 Bear Meadow, Washington, 336 Blue Mountain unit, Washington, 380 Algodones dunes, California, 101 Bear Mountain fault zone, California, -
Hawaiian Birds 1972*
HAWAIIAN BIRDS 1972* ANDREW J. BERGER More kinds (species and subspecies) of birds have become extinct in Hawaii than on all continents’ of the world combined. These endemic Hawaiian birds have become ex- tinct since 1844l, and most of them have succumbed since the 1890s. Table 1 lists the endemic Hawaiian birds which are presumed to be extinct. Moreover, Hawaiian birds account for nearly one-half of the birds in the U. S. Bureau of Sport Fisheries and Wildlifes’ Red Book of rare and endangered species. The follow- ing list contains 16 of the rare and endangered Hawaiian birds: Newells’ Manx Shear- water (Puffinus puffinus newel&), Hawaiian Dark-rumped Petrel (Pterodroma phaeo- pygia sandwichensis), Harcourt s’ Storm Petrel (Oceanodroma Castro cryptoleucura), Nene or Hawaiian Goose (Branta sandvicensis), Koloa or Hawaiian Duck (Anas wyvilliana) , Laysan Duck (Anus laysanensis) , Hawaiian Hawk (Buteo solitarius) , Hawaiian Gallinule (Gallinula chloropus sandvicensis) , Hawaiian Coot (Fulica ameri- cana alai), Hawaiian Black-necked Stilt (Himantopus himantopus knudseni), Hawaiian Crow (Corvus tropicus), Large Kauai Thrush (Phaeornis obscurus myadestina), Molo- kai Thrush (Phaeornis o. rutha), Small Kauai Thrush (Phaeornis palmeri), Nihoa Millerbird (Acrocephalus familiaris kingi), and the Kauai 00 (Moho braccetus). TO this list may be added the non-migratory Hawaiian population of the Black-crowned Night Heron (Nycticorax n. hoactli). But, there are even more endangered Hawaiian birds! Because of their special interest to ornithologists, -
Tuesday, May 4, 2021 1. Call to Order 2:30 Pm Leiopapa a Kamehameha Building Office
HA WAI'I BOARDON GEOGRAPHIC NAMES (HBGN) Tuesday, May 4, 2021 2:30 p.m. Leiopapa A Kamehameha Building Officeof Planning, 6th Floor Conference Room 235 S. Beretania Street Honolulu, Hawai'i 96813 Zoom Meeting information: https://bit.ly/hbgn-20210504 Meeting ID: 932 3302 1740 Passcode: 581819 1. Call to Order 2. Review ofMeeting Minutes forApril 6, 2021 3. Public Comments 4. Announcements 5. Status ofbills and resolutions in the Legislature 6. Discussion and Action on Permitted Interaction Group for Lo'ihi / Kama'ehu 7. Review selected place names on the island ofHawai'i (Camara) 8. Adjournment This meeting of the Hawai'i Board on Geographic Names (HBGN) will be available forlive viewing via Zoom. Zoom Meeting information: https://bit.ly/hbgn-20210504 or https://zoom.us/j/93233021740?pwd=Ui9LbmxwMERYRkhDWDR WUHZaeHFRdz09 Meeting ID: 932 3302 1740 Passcode: 581819 MINUTES DRAFT FOR THE MEETING OF THE HAWAI‘I BOARD ON GEOGRAPHIC NAMES DATE: April 6, 2021 TIME: 2:30 p.m. PLACE: Leiopapa A Kamehameha Building Office of Planning, 6th Floor Library 235 S. Beretania Street Honolulu, Hawai‘i 96813 AGENDA ITEM 1: Call to Order Mr. Marzan called the meeting to order at 2:36 p.m. The following were in attendance: MEMBERS: Marques Marzan (Bishop Museum) Arthur Buto for Mary Alice Evans (Office of Planning) Meyer Cummins (Land Survey Division) Holly McEldowney (Department of Land and Natural Resources) left early at 3:20pm Niniau Kawaihae (Department of Hawaiian Home Lands) Kapā Oliveira (University of Hawaiʻi at Mānoa) Brad Kaʻaleleo Wong (Office of Hawaiian Affairs) ABSENT: None GUESTS: Jennifer Runyon (USGS) Lāmaku Mikahala Roy Melia Lane-Kamahele Regina Hilo Bobby Camara Renee Pualani Louis Catherine Sullivan AGENDA ITEM 2: Review of Meeting Minutes for March 2, 2021 Lamakū Roy asked for her attendance to be recognized and that she is here to comment on the minutes from the March meeting. -
The Rainfall Atlas of Hawai'i 2011
THE RAINFALL ATLAS OF HAWAI‘I 2011 Final Report Thomas W. Giambelluca1, Qi Chen1, Abby G. Frazier1, Jonathan P. Price2 Yi-Leng Chen3, Pao-Shin Chu3, and Jon K. Eischeid4 1Department of Geography, University of Hawai‘i at Mānoa, Honolulu, HI, USA 2Department of Geography and Environmental Sciences, University of Hawai‘i - Hilo, Hilo, HI, USA 3Department of Meteorology, University of Hawai‘i at Mānoa, Honolulu, HI, USA 4Cooperative Institute for Research in Environmental Science, University of Colorado, Boulder, CO, USA October 2011 The Rainfall Atlas of Hawai‘i 2011 Final Report Acknowledgments The 2011 Rainfall Atlas of Hawai‘i was developed under an agreement between the State of Hawai‘i Commission on Water Resource Management and the U.S. Army Corps of Engineers, Honolulu District under Section 22 of the Water Resources Development Act of 1974. Contract No. W9128A-04-D-0019, Contract Task Order No. 0038 was awarded to Wil Chee Planning, Inc., which subcontracted the work to the University of Hawai‘i at Mānoa, Department of Geography. The development of the 2011 Rainfall Atlas of Hawai‘i was supported by numerous individuals and organizations. Please see the “People” tab of the Rainfall Atlas of Hawai‘i web site (http://rainfall.geography.hawaii.edu) for information about those who contributed to this work. We are grateful to the people listed there, as well as the many other individuals who contributed to Hawai‘i’s rainfall dataset by carefully and consistently making measurements and recording and preserving the data. Those records are an invaluable resource, without which no rainfall map analysis would be possible. -
Abstracts of Those Ar- Dana L Moseley Ticles Using Packages Tm and Topicmodels in R to Ex- Graham E Derryberry Tract Common Words and Trends
ABSTRACT BOOK Listed alphabetically by last name of presenting author Oral Presentations . 2 Lightning Talks . 161 Posters . 166 AOS 2018 Meeting 9-14 April 2018 ORAL PRESENTATIONS Combining citizen science with targeted monitoring we argue how the framework allows for effective large- for Gulf of Mexico tidal marsh birds scale inference and integration of multiple monitoring efforts. Scientists and decision-makers are interested Evan M Adams in a range of outcomes at the regional scale, includ- Mark S Woodrey ing estimates of population size and population trend Scott A Rush to answering questions about how management actions Robert J Cooper or ecological questions influence bird populations. The SDM framework supports these inferences in several In 2010, the Deepwater Horizon oil spill affected many ways by: (1) monitoring projects with synergistic ac- marsh birds in the Gulf of Mexico; yet, a lack of prior tivities ranging from using approved standardized pro- monitoring data made assessing impacts to these the tocols, flexible data sharing policies, and leveraging population impacts difficult. As a result, the Gulf of multiple project partners; (2) rigorous data collection Mexico Avian Monitoring Network (GoMAMN) was that make it possible to integrate multiple monitoring established, with one of its objectives being to max- projects; and (3) monitoring efforts that cover multiple imize the value of avian monitoring projects across priorities such that projects designed for status assess- the region. However, large scale assessments of these ment can also be useful for learning or describing re- species are often limited, tidal marsh habitat in this re- sponses to management activities.