DOI: 10.1111/gcb.13079
论文题名: Does climate directly influence NPP globally?
作者: Chu C. ; Bartlett M. ; Wang Y. ; He F. ; Weiner J. ; Chave J. ; Sack L.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2016
卷: 22, 期: 1 起始页码: 12
结束页码: 24
语种: 英语
英文关键词: Carbon
; Climate change
; Net primary productivity
; Production
; Rainfall
Scopus关键词: rain
; biomass
; climate
; ecosystem
; metabolism
; plant
; plant development
; season
; temperature
; theoretical model
; Biomass
; Climate
; Ecosystem
; Models, Theoretical
; Plant Development
; Plants
; Rain
; Seasons
; Temperature
英文摘要: The need for rigorous analyses of climate impacts has never been more crucial. Current textbooks state that climate directly influences ecosystem annual net primary productivity (NPP), emphasizing the urgent need to monitor the impacts of climate change. A recent paper challenged this consensus, arguing, based on an analysis of NPP for 1247 woody plant communities across global climate gradients, that temperature and precipitation have negligible direct effects on NPP and only perhaps have indirect effects by constraining total stand biomass (Mtot) and stand age (a). The authors of that study concluded that the length of the growing season (lgs) might have a minor influence on NPP, an effect they considered not to be directly related to climate. In this article, we describe flaws that affected that study's conclusions and present novel analyses to disentangle the effects of stand variables and climate in determining NPP. We re-analyzed the same database to partition the direct and indirect effects of climate on NPP, using three approaches: maximum-likelihood model selection, independent-effects analysis, and structural equation modeling. These new analyses showed that about half of the global variation in NPP could be explained by Mtot combined with climate variables and supported strong and direct influences of climate independently of Mtot, both for NPP and for net biomass change averaged across the known lifetime of the stands (ABC = average biomass change). We show that lgs is an important climate variable, intrinsically correlated with, and contributing to mean annual temperature and precipitation (Tann and Pann), all important climatic drivers of NPP. Our analyses provide guidance for statistical and mechanistic analyses of climate drivers of ecosystem processes for predictive modeling and provide novel evidence supporting the strong, direct role of climate in determining vegetation productivity at the global scale. © 2016 John Wiley & Sons Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/61528
Appears in Collections: 影响、适应和脆弱性
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作者单位: SYSU-Alberta Joint Lab for Biodiversity Conservation, State Key Laboratory of Biocontrol and School of Life Sciences, Sun Yat-sen University, Guangzhou, China; Department of Ecology and Evolution, University of California Los Angeles, Los Angeles, CA, United States; Ministry of Education Key Laboratory of Western China's Environmental Systems, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China; Department of Renewable Resources, University of Alberta, Edmonton, AB, Canada; Department of Plant and Environmental Sciences, University of Copenhagen, Frederiksberg, Denmark; CNRS, ENFA; UMR5174 EDB (Laboratoire Evolution et Diversité Biologique), Université Paul Sabatier, Toulouse, France
Recommended Citation:
Chu C.,Bartlett M.,Wang Y.,et al. Does climate directly influence NPP globally?[J]. Global Change Biology,2016-01-01,22(1)