دورية أكاديمية
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Integrating data types to estimate spatial patterns of avian migration across the Western Hemisphere.

التفاصيل البيبلوغرافية
العنوان: Integrating data types to estimate spatial patterns of avian migration across the Western Hemisphere.
المؤلفون: Meehan TD; National Audubon Society, New York, New York, USA., Saunders SP; National Audubon Society, New York, New York, USA., DeLuca WV; National Audubon Society, New York, New York, USA., Michel NL; National Audubon Society, New York, New York, USA., Grand J; National Audubon Society, New York, New York, USA., Deppe JL; National Audubon Society, Washington, District of Columbia, USA., Jimenez MF; National Audubon Society, New York, New York, USA., Knight EJ; National Audubon Society, New York, New York, USA., Seavy NE; National Audubon Society, New York, New York, USA., Smith MA; National Audubon Society, New York, New York, USA., Taylor L; National Audubon Society, New York, New York, USA., Witko C; National Audubon Society, New York, New York, USA., Akresh ME; Department of Environmental Studies, Antioch University New England, Keene, New Hampshire, USA., Barber DR; Acopian Center for Conservation Learning, Hawk Mountain Sanctuary Association, Orwigsburg, Pennsylvania, USA., Bayne EM; Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada., Beasley JC; Savannah River Ecology Laboratory, Aiken, South Carolina, USA.; Warnell College of Forestry & Natural Resources, University of Georgia, Athens, Georgia, USA., Belant JL; Global Wildlife Conservation Center, State University of New York College of Environmental Science and Forestry, Syracuse, New York, USA., Bierregaard RO; Department of Ornithology, Academy of Natural Sciences of Drexel University, Philadelphia, Pennsylvania, USA., Bildstein KL; Acopian Center for Conservation Learning, Hawk Mountain Sanctuary Association, Orwigsburg, Pennsylvania, USA., Boves TJ; Department of Biological Sciences, Arkansas State University, Jonesboro, Arkansas, USA., Brzorad JN; 1000 Herons, Charlotte, North Carolina, USA.; Lenoir-Rhyne University, Hickory, North Carolina, USA., Campbell SP; Albany Pine Bush Preserve Commission, Albany, New York, USA., Celis-Murillo A; U.S. Geological Survey, Eastern Ecological Center, Patuxent Research Refuge, Laurel, Maryland, USA., Cooke HA; Wildlife Conservation Society Canada, Whitehorse, Yukon Territories, Canada., Domenech R; Raptor View Research Institute, Missoula, Montana, USA., Goodrich L; Acopian Center for Conservation Learning, Hawk Mountain Sanctuary Association, Orwigsburg, Pennsylvania, USA., Gow EA; Birds Canada, Port Rowan, Ontario, Canada.; Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada., Haines A; Biology Department, Millersville University, Millersville, Pennsylvania, USA., Hallworth MT; Cary Institute of Ecosystem Studies, Millbrook, New York, USA.; Vermont Center for Ecostudies, Norwich, Vermont, USA., Hill JM; Vermont Center for Ecostudies, Norwich, Vermont, USA., Holland AE; Savannah River Ecology Laboratory, Aiken, South Carolina, USA.; Warnell College of Forestry & Natural Resources, University of Georgia, Athens, Georgia, USA., Jennings S; Cypress Grove Research Center, Audubon Canyon Ranch, Marshall, California, USA., Kays R; North Carolina Museum of Natural Sciences, Raleigh, North Carolina, USA.; Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, North Carolina, USA., King DT; U.S. Department of Agriculture, Wildlife Services, National Wildlife Research Center, Mississippi Field Station, Mississippi State University, Mississippi State, Mississippi, USA., Mackenzie SA; Birds Canada, Port Rowan, Ontario, Canada., Marra PP; Department of Biology and McCourt School of Public Policy, Georgetown University, Washington, District of Columbia, USA., McCabe RA; Acopian Center for Conservation Learning, Hawk Mountain Sanctuary Association, Orwigsburg, Pennsylvania, USA., McFarland KP; Vermont Center for Ecostudies, Norwich, Vermont, USA., McGrady MJ; International Avian Research, Krems, Austria., Melcer R Jr; California State Parks, Sacramento, California, USA.; Geography Graduate Group, University of California, Davis, Davis, California, USA., Norris DR; Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada., Norvell RE; Utah Division of Wildlife Resources, Salt Lake City, Utah, USA., Rhodes OE Jr; Savannah River Ecology Laboratory, Aiken, South Carolina, USA., Rimmer CC; Cary Institute of Ecosystem Studies, Millbrook, New York, USA., Scarpignato AL; Migratory Bird Center, Smithsonian Conservation Biology Institute, National Zoological Park, Washington, District of Columbia, USA., Shreading A; Raptor View Research Institute, Missoula, Montana, USA., Watson JL; Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada.; HawkWatch International, Salt Lake City, Utah, USA., Wilsey CB; National Audubon Society, New York, New York, USA.
المصدر: Ecological applications : a publication of the Ecological Society of America [Ecol Appl] 2022 Oct; Vol. 32 (7), pp. e2679. Date of Electronic Publication: 2022 Jul 06.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Ecological Society of America Country of Publication: United States NLM ID: 9889808 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1051-0761 (Print) Linking ISSN: 10510761 NLM ISO Abbreviation: Ecol Appl Subsets: MEDLINE
أسماء مطبوعة: Publication: Washington, D.C. : Ecological Society of America
Original Publication: Tempe, AZ : The Society, 1991-
مواضيع طبية MeSH: Animal Migration* , Birds*, Animals ; Seasons ; South America
مستخلص: For many avian species, spatial migration patterns remain largely undescribed, especially across hemispheric extents. Recent advancements in tracking technologies and high-resolution species distribution models (i.e., eBird Status and Trends products) provide new insights into migratory bird movements and offer a promising opportunity for integrating independent data sources to describe avian migration. Here, we present a three-stage modeling framework for estimating spatial patterns of avian migration. First, we integrate tracking and band re-encounter data to quantify migratory connectivity, defined as the relative proportions of individuals migrating between breeding and nonbreeding regions. Next, we use estimated connectivity proportions along with eBird occurrence probabilities to produce probabilistic least-cost path (LCP) indices. In a final step, we use generalized additive mixed models (GAMMs) both to evaluate the ability of LCP indices to accurately predict (i.e., as a covariate) observed locations derived from tracking and band re-encounter data sets versus pseudo-absence locations during migratory periods and to create a fully integrated (i.e., eBird occurrence, LCP, and tracking/band re-encounter data) spatial prediction index for mapping species-specific seasonal migrations. To illustrate this approach, we apply this framework to describe seasonal migrations of 12 bird species across the Western Hemisphere during pre- and postbreeding migratory periods (i.e., spring and fall, respectively). We found that including LCP indices with eBird occurrence in GAMMs generally improved the ability to accurately predict observed migratory locations compared to models with eBird occurrence alone. Using three performance metrics, the eBird + LCP model demonstrated equivalent or superior fit relative to the eBird-only model for 22 of 24 species-season GAMMs. In particular, the integrated index filled in spatial gaps for species with over-water movements and those that migrated over land where there were few eBird sightings and, thus, low predictive ability of eBird occurrence probabilities (e.g., Amazonian rainforest in South America). This methodology of combining individual-based seasonal movement data with temporally dynamic species distribution models provides a comprehensive approach to integrating multiple data types to describe broad-scale spatial patterns of animal movement. Further development and customization of this approach will continue to advance knowledge about the full annual cycle and conservation of migratory birds.
(© 2022 The Authors. Ecological Applications published by Wiley Periodicals LLC on behalf of The Ecological Society of America.)
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فهرسة مساهمة: Keywords: annual cycle; band re-encounter; data integration; eBird; least-cost path; migratory connectivity; tracking
تواريخ الأحداث: Date Created: 20220519 Date Completed: 20221005 Latest Revision: 20221229
رمز التحديث: 20221229
مُعرف محوري في PubMed: PMC9787853
DOI: 10.1002/eap.2679
PMID: 35588285
قاعدة البيانات: MEDLINE
الوصف
تدمد:1051-0761
DOI:10.1002/eap.2679