GSTDTAP  > 气候变化
DOI10.1111/gcb.13343
Fine-scale climate change: modelling spatial variation in biologically meaningful rates of warming
Maclean, Ilya M. D.1; Suggitt, Andrew J.1; Wilson, Robert J.2; Duffy, James P.1; Bennie, Jonathan J.1
2017
发表期刊GLOBAL CHANGE BIOLOGY
ISSN1354-1013
EISSN1365-2486
出版年2017
卷号23期号:1
文章类型Article
语种英语
国家England
英文摘要

The existence of fine-grain climate heterogeneity has prompted suggestions that species may be able to survive future climate change in pockets of suitable microclimate, termed 'microrefugia'. However, evidence for microrefugia is hindered by lack of understanding of how rates of warming vary across a landscape. Here, we present a model that is applied to provide fine-grained, multidecadal estimates of temperature change based on the underlying physical processes that influence microclimate. Weather station and remotely derived environmental data were used to construct physical variables that capture the effects of terrain, sea surface temperatures, altitude and surface albedo on local temperatures, which were then calibrated statistically to derive gridded estimates of temperature. We apply the model to the Lizard Peninsula, United Kingdom, to provide accurate (mean error = 1.21 degrees C; RMS error = 1.63 degrees C) hourly estimates of temperature at a resolution of 100 m for the period 1977-2014. We show that rates of warming vary across a landscape primarily due to long-term trends in weather conditions. Total warming varied from 0.87 to 1.16 degrees C, with the slowest rates of warming evident on north-east-facing slopes. This variation contributed to substantial spatial heterogeneity in trends in bioclimatic variables: for example, the change in the length of the frost-free season varied from +11 to -54 days and the increase in annual growing degree-days from 51 to 267 degrees C days. Spatial variation in warming was caused primarily by a decrease in daytime cloud cover with a resulting increase in received solar radiation, and secondarily by a decrease in the strength of westerly winds, which has amplified the effects on temperature of solar radiation on west-facing slopes. We emphasize the importance of multidecadal trends in weather conditions in determining spatial variation in rates of warming, suggesting that locations experiencing least warming may not remain consistent under future climate change.


英文关键词climate change cryptic refugia landscape microclimate microrefugia species distributions topoclimate
领域气候变化 ; 资源环境
收录类别SCI-E
WOS记录号WOS:000390218300022
WOS关键词AIR-TEMPERATURE ; REIDS PARADOX ; RESOLUTION ; REFUGIA ; DISTRIBUTIONS ; MICROREFUGIA ; MICROCLIMATE ; LANDSCAPE ; PATTERNS ; VALLEY
WOS类目Biodiversity Conservation ; Ecology ; Environmental Sciences
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/17468
专题气候变化
资源环境科学
作者单位1.Univ Exeter, Environm & Sustainabil Inst, Cornwall Campus, Penryn TR10 9FE, England;
2.Univ Exeter, Coll Life & Environm Sci, Exeter EX4 4PS, Devon, England
推荐引用方式
GB/T 7714
Maclean, Ilya M. D.,Suggitt, Andrew J.,Wilson, Robert J.,et al. Fine-scale climate change: modelling spatial variation in biologically meaningful rates of warming[J]. GLOBAL CHANGE BIOLOGY,2017,23(1).
APA Maclean, Ilya M. D.,Suggitt, Andrew J.,Wilson, Robert J.,Duffy, James P.,&Bennie, Jonathan J..(2017).Fine-scale climate change: modelling spatial variation in biologically meaningful rates of warming.GLOBAL CHANGE BIOLOGY,23(1).
MLA Maclean, Ilya M. D.,et al."Fine-scale climate change: modelling spatial variation in biologically meaningful rates of warming".GLOBAL CHANGE BIOLOGY 23.1(2017).
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