DOI: 10.1111/gcb.13454
论文题名: Mechanistic variables can enhance predictive models of endotherm distributions: the American pika under current, past, and future climates
作者: Mathewson P.D. ; Moyer-Horner L. ; Beever E.A. ; Briscoe N.J. ; Kearney M. ; Yahn J.M. ; Porter W.P.
刊名: Global Change Biology
出版年: 2017
卷: 23, 期: 3 起始页码: 1048
结束页码: 1064
语种: 英语
英文关键词: activity
; American pika
; biophysical model
; climate change
; mechanistic model
; Ochotona princeps
; physiology
; species distribution model
; temperature
Scopus关键词: Animalia
; Ochotona princeps
; Ochotonidae
英文摘要: How climate constrains species’ distributions through time and space is an important question in the context of conservation planning for climate change. Despite increasing awareness of the need to incorporate mechanism into species distribution models (SDMs), mechanistic modeling of endotherm distributions remains limited in this literature. Using the American pika (Ochotona princeps) as an example, we present a framework whereby mechanism can be incorporated into endotherm SDMs. Pika distribution has repeatedly been found to be constrained by warm temperatures, so we used Niche Mapper, a mechanistic heat-balance model, to convert macroclimate data to pika-specific surface activity time in summer across the western United States. We then explored the difference between using a macroclimate predictor (summer temperature) and using a mechanistic predictor (predicted surface activity time) in SDMs. Both approaches accurately predicted pika presences in current and past climate regimes. However, the activity models predicted 8–19% less habitat loss in response to annual temperature increases of ~3–5 °C predicted in the region by 2070, suggesting that pikas may be able to buffer some climate change effects through behavioral thermoregulation that can be captured by mechanistic modeling. Incorporating mechanism added value to the modeling by providing increased confidence in areas where different modeling approaches agreed and providing a range of outcomes in areas of disagreement. It also provided a more proximate variable relating animal distribution to climate, allowing investigations into how unique habitat characteristics and intraspecific phenotypic variation may allow pikas to exist in areas outside those predicted by generic SDMs. Only a small number of easily obtainable data are required to parameterize this mechanistic model for any endotherm, and its use can improve SDM predictions by explicitly modeling a widely applicable direct physiological effect: climate-imposed restrictions on activity. This more complete understanding is necessary to inform climate adaptation actions, management strategies, and conservation plans. © 2016 John Wiley & Sons Ltd 资助项目: Mathewson, P.D.
; Department of Zoology, University of Wisconsin-MadisonUnited States
; 电子邮件: mathewson@wisc.edu
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/61046
Appears in Collections: 影响、适应和脆弱性
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作者单位: Department of Zoology, University of Wisconsin-Madison, Madison, WI, United States; Department of Biology, University of Utah, Salt Lake City, UT, United States; U.S. Geological Survey, Northern Rocky Mountain Science Center, Bozeman, MT, United States; Department of Ecology, Montana State University, Bozeman, MT, United States; School of BioSciences, University of Melbourne, Melbourne, VIC, Australia
Recommended Citation:
Mathewson P.D.,Moyer-Horner L.,Beever E.A.,et al. Mechanistic variables can enhance predictive models of endotherm distributions: the American pika under current, past, and future climates[J]. Global Change Biology,2017-01-01,23(3)