DOI: 10.1111/gcb.12748
论文题名: Forecasting climate change impacts on the distribution of wetland habitat in the Midwestern United states
作者: Garris H.W. ; Mitchell R.J. ; Fraser L.H. ; Barrett L.R.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2015
卷: 21, 期: 2 起始页码: 766
结束页码: 776
语种: 英语
英文关键词: Artificial neural network
; Climate projections
; Isothermality
; Midwest
; Modeling
; Wetlands
; WorldClim
Scopus关键词: artificial neural network
; climate change
; climate effect
; climate modeling
; habitat structure
; wetland
; Corn Belt
; Iowa
; Midwest
; Missouri
; United States
; Zea mays
; climate change
; environmental protection
; forecasting
; theoretical model
; United States
; wetland
; Climate Change
; Conservation of Natural Resources
; Forecasting
; Midwestern United States
; Models, Theoretical
; Wetlands
英文摘要: Shifting precipitation patterns brought on by climate change threaten to alter the future distribution of wetlands. We developed a set of models to understand the role climate plays in determining wetland formation on a landscape scale and to forecast changes in wetland distribution for the Midwestern United States. These models combined 35 climate variables with 21 geographic and anthropogenic factors thought to encapsulate other major drivers of wetland distribution for the Midwest. All models successfully recreated a majority of the variation in current wetland area within the Midwest, and showed that wetland area was significantly associated with climate, even when controlling for landscape context. Inferential (linear) models identified a consistent negative association between wetland area and isothermality. This is likely the result of regular inundation in areas where precipitation accumulates as snow, then melts faster than drainage capacity. Moisture index seasonality was identified as a key factor distinguishing between emergent and forested wetland types, where forested wetland area at the landscape scale is associated with a greater seasonal variation in water table depth. Forecasting models (neural networks) predicted an increase in potential wetland area in the coming century, with areas conducive to forested wetland formation expanding more rapidly than areas conducive to emergent wetlands. Local cluster analyses identified Iowa and Northeastern Missouri as areas of anticipated wetland expansion, indicating both a risk to crop production within the Midwest Corn Belt and an opportunity for wetland conservation, while Northern Minnesota and Michigan are potentially at risk of wetland losses under a future climate. © 2014 John Wiley & Sons Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/61740
Appears in Collections: 影响、适应和脆弱性
There are no files associated with this item.
作者单位: Department of Biology, Auburn Science Center, University of Akron, Akron, OH, United States; Department of Natural Resources and Biological Sciences, Thompson Rivers University, 900 McGill Rd, Kamloops, BC, Canada; Department of Geoscience, University of Akron, Crouse Hall, Akron, OH, United States
Recommended Citation:
Garris H.W.,Mitchell R.J.,Fraser L.H.,et al. Forecasting climate change impacts on the distribution of wetland habitat in the Midwestern United states[J]. Global Change Biology,2015-01-01,21(2)