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DOI10.1088/1748-9326/aaeec1
Integrating snow science and wildlife ecology in Arctic-boreal North America
Boelman N.T.; Liston G.E.; Gurarie E.; Meddens A.J.H.; Mahoney P.J.; Kirchner P.B.; Bohrer G.; Brinkman T.J.; Cosgrove C.L.; Eitel J.U.H.; Hebblewhite M.; Kimball J.S.; Lapoint S.; Nolin A.W.; Pedersen S.H.; Prugh L.R.; Reinking A.K.; Vierling L.A.
发表日期2019
ISSN17489318
卷号14期号:1
英文摘要Snow covers Arctic and boreal regions (ABRs) for approximately 9 months of the year, thus snowscapes dominate the form and function of tundra and boreal ecosystems. In recent decades, Arctic warming has changed the snowcover's spatial extent and distribution, as well as its seasonal timing and duration, while also altering the physical characteristics of the snowpack. Understanding the little studied effects of changing snowscapes on its wildlife communities is critical. The goal of this paper is to demonstrate the urgent need for, and suggest an approach for developing, an improved suite of temporally evolving, spatially distributed snow products to help understand how dynamics in snowscape properties impact wildlife, with a specific focus on Alaska and northwestern Canada. Via consideration of existing knowledge of wildlife-snow interactions, currently available snow products for focus region, and results of three case studies, we conclude that improving snow science in the ABR will be best achieved by focusing efforts on developing data-model fusion approaches to produce fit-for-purpose snow products that include, but are not limited to, wildlife ecology. The relative wealth of coordinated in situ measurements, airborne and satellite remote sensing data, and modeling tools being collected and developed as part of NASA's Arctic Boreal Vulnerability Experiment and SnowEx campaigns, for example, provide a data rich environment for developing and testing new remote sensing algorithms and retrievals of snowscape properties. © 2019 The Author(s). Published by IOP Publishing Ltd.
英文关键词ABoVE; Arctic boreal vulnerability experiment; caribou; Dall sheep; polar bear; remote sensing; snow
语种英语
scopus关键词Ecology; Mammals; NASA; Snow; ABoVE; caribou; Dall sheep; In-situ measurement; Physical characteristics; Polar bears; Remote sensing algorithms; Satellite remote sensing data; Remote sensing; airborne survey; arctic environment; bear; boreal forest; deer; experimental study; global warming; in situ measurement; remote sensing; satellite altimetry; sheep; snow; snow cover; snowpack; tundra; wildlife management; Alaska; Canada; United States; Ovis dalli; Rangifer tarandus; Ursus maritimus
来源期刊Environmental Research Letters
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/154725
作者单位Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY 10964, United States; Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO 80523, United States; Department of Biology, University of Maryland, College Park, MD 20742, United States; School of Environmental and Forest Sciences, University of Washington, Seattle, WA 98195, United States; Department of Natural Resources and Society, University of Idaho, Moscow, ID 83844, United States; Southwest Alaska Network, National Park Service, Anchorage, AK 99501, United States; Department of Civil, Environmental and Geodetic Engineering, Ohio State University, Columbus, OH 43210, United States; Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK 99775, United States; Earth, Ocean and Atmospheric Sciences, Oregon State, Corvallis, OR 97331, United States; W A Franke College of Forestry and Conservation, University of Montana, Missoula, MT 59812, United States; Numerical Te...
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Boelman N.T.,Liston G.E.,Gurarie E.,et al. Integrating snow science and wildlife ecology in Arctic-boreal North America[J],2019,14(1).
APA Boelman N.T..,Liston G.E..,Gurarie E..,Meddens A.J.H..,Mahoney P.J..,...&Vierling L.A..(2019).Integrating snow science and wildlife ecology in Arctic-boreal North America.Environmental Research Letters,14(1).
MLA Boelman N.T.,et al."Integrating snow science and wildlife ecology in Arctic-boreal North America".Environmental Research Letters 14.1(2019).
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