DOI: 10.1111/ecog.04627
论文题名: Physiology in ecological niche modeling: using zebra mussel's upper thermal tolerance to refine model predictions through Bayesian analysis
作者: Feng X. ; Liang Y. ; Gallardo B. ; Papeş M.
刊名: Ecography
ISSN: 9067590
出版年: 2020
卷: 43, 期: 2 语种: 英语
英文关键词: Bayesian analysis
; climate change
; ecological niche model
; Grinnellian niche
; invasive species
; physiological tolerance
Scopus关键词: Bayesian analysis
; climate change
; crustacean
; dispersal
; invasive species
; niche partitioning
; physiological response
; probability
; survival
; tolerance
; Dreissena polymorpha
; Equus subg. Hippotigris
; Grinnellia
英文摘要: Climate change and human-mediated dispersal are increasingly influencing species’ geographic distributions. Ecological niche models (ENMs) are widely used in forecasting species’ distributions, but are weak in extrapolation to novel environments because they rely on available distributional data and do not incorporate mechanistic information, such as species’ physiological response to abiotic conditions. To improve accuracy of ENMs, we incorporated physiological knowledge through Bayesian analysis. In a case study of the zebra mussel Dreissena polymorpha, we used native and global occurrences to obtain native and global models representing narrower and broader understanding of zebra mussel’ response to temperature. We also obtained thermal limit and survival information for zebra mussel from peer-reviewed literature and used the two types of information separately and jointly to calibrate native models. We showed that, compared to global models, native models predicted lower relative probability of presence along zebra mussel's upper thermal limit, suggesting the shortcoming of native models in predicting zebra mussel's response to warm temperature. We also found that native models showed improved prediction of relative probability of presence when thermal limit was used alone, and best approximated global models when both thermal limit and survival data were used. Our result suggests that integration of physiological knowledge enhances extrapolation of ENM in novel environments. Our modeling framework can be generalized for other species or other physiological limits and may incorporate evolutionary information (e.g. evolved thermal tolerance), thus has the potential to improve predictions of species’ invasive potential and distributional response to climate change. © 2019 The Authors. Ecography published by John Wiley & Sons on behalf of Nordic Society Oikos Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159673
Appears in Collections: 气候变化与战略
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作者单位: Inst. of the Environment, Univ. of Arizona, Tucson, AZ, United States; School of Natural Resources and the Environment, Univ. of Arizona, Tucson, AZ, United States; Dept of Statistics, Oklahoma State Univ, Stillwater, OK, United States; Applied and Restoration Ecology Group, Pyrenean Inst. of Ecology (IPE-CSIC), Zaragoza, Spain; Dept of Ecology and Evolutionary Biology, Univ. of Tennessee, Knoxville, TN, United States
Recommended Citation:
Feng X.,Liang Y.,Gallardo B.,et al. Physiology in ecological niche modeling: using zebra mussel's upper thermal tolerance to refine model predictions through Bayesian analysis[J]. Ecography,2020-01-01,43(2)