DOI: 10.1002/2016GB005480
Scopus记录号: 2-s2.0-85007480337
论文题名: Evaluating the drought response of CMIP5 models using global gross primary productivity, leaf area, precipitation, and soil moisture data
作者: Huang Y ; , Gerber S ; , Huang T ; , Lichstein J ; W
刊名: Global Biogeochemical Cycles
ISSN: 8866236
出版年: 2016
卷: 30, 期: 12 起始页码: 1827
结束页码: 1846
语种: 英语
英文关键词: carbon cycle
; carbon-water interactions
; CMIP5
; dynamic global vegetation model
; extreme event
; land model
Scopus关键词: carbon cycle
; climate modeling
; CMIP
; correlation
; drought resistance
; ecosystem modeling
; extreme event
; global change
; global perspective
; hydrological cycle
; leaf area index
; precipitation intensity
; primary production
; soil moisture
; water availability
英文摘要: Realistic representation of vegetation's response to drought is important for understanding terrestrial carbon cycling. We evaluated nine Earth system models from the historical experiment of the Coupled Model Intercomparison Project Phase 5 for the response of gross primary productivity (GPP) and leaf area index (LAI) to hydrological anomalies. Hydrological anomalies were characterized by the standardized precipitation index (SPI) and surface soil moisture anomalies (SMA). GPP and LAI in models were on average more responsive to SPI than in observations revealed through several indicators. First, we find higher mean correlations between global annual anomalies of GPP and SPI in models than observations. Second, the maximum correlation between GPP and SPI across 1–24 month time scales is higher in models than observations. And finally, we found stronger excursions of GPP to extreme dry or wet events. Similar to GPP, LAI responded more to SPI in models than observations. The over-response of models is smaller if evaluated based on SMA instead of SPI. LAI responses to SMA are inconsistent among models, showing both higher and lower LAI when soil moisture is reduced. The time scale of maximum correlation is shorter in models than the observation for GPP, and the markedly different response time scales among models for LAI indicate gaps in understanding how variability of water availability affects foliar cover. The discrepancy of responses derived from SPI and SMA among models, and between models and observations, calls for improvement in understanding the dynamics of plant-available water in addition to how vegetation responds to these anomalies. ©2016. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/77790
Appears in Collections: 气候变化事实与影响
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作者单位: Soil and Water Sciences Department, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL, United States; Now at Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, United States; Department of Biology, University of Florida, Gainesville, FL, United States
Recommended Citation:
Huang Y,, Gerber S,, Huang T,et al. Evaluating the drought response of CMIP5 models using global gross primary productivity, leaf area, precipitation, and soil moisture data[J]. Global Biogeochemical Cycles,2016-01-01,30(12)