DOI: 10.1111/gcb.12822
论文题名: Observing terrestrial ecosystems and the carbon cycle from space
作者: Schimel D. ; Pavlick R. ; Fisher J.B. ; Asner G.P. ; Saatchi S. ; Townsend P. ; Miller C. ; Frankenberg C. ; Hibbard K. ; Cox P.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2015
卷: 21, 期: 5 起始页码: 1762
结束页码: 1776
语种: 英语
英文关键词: Arctic
; Boreal
; Carbon
; Climate feedback
; Diversity
; Fluroescence
; Spectroscopy
; Tropics
Scopus关键词: biodiversity
; carbon cycle
; carbon flux
; climate effect
; climate feedback
; fluorescence spectroscopy
; remote sensing
; satellite data
; spatial distribution
; terrestrial ecosystem
; Arctic
; chlorophyll
; lignin
; nitrogen
; carbon cycle
; chemistry
; ecosystem
; physiology
; plant
; procedures
; satellite imagery
; theoretical model
; trends
; Carbon Cycle
; Chlorophyll
; Ecosystem
; Lignin
; Models, Theoretical
; Nitrogen
; Plants
; Satellite Imagery
英文摘要: Terrestrial ecosystem and carbon cycle feedbacks will significantly impact future climate, but their responses are highly uncertain. Models and tipping point analyses suggest the tropics and arctic/boreal zone carbon-climate feedbacks could be disproportionately large. In situ observations in those regions are sparse, resulting in high uncertainties in carbon fluxes and fluxes. Key parameters controlling ecosystem carbon responses, such as plant traits, are also sparsely observed in the tropics, with the most diverse biome on the planet treated as a single type in models. We analyzed the spatial distribution of in situ data for carbon fluxes, stocks and plant traits globally and also evaluated the potential of remote sensing to observe these quantities. New satellite data products go beyond indices of greenness and can address spatial sampling gaps for specific ecosystem properties and parameters. Because environmental conditions and access limit in situ observations in tropical and arctic/boreal environments, use of space-based techniques can reduce sampling bias and uncertainty about tipping point feedbacks to climate. To reliably detect change and develop the understanding of ecosystems needed for prediction, significantly, more data are required in critical regions. This need can best be met with a strategic combination of remote and in situ data, with satellite observations providing the dense sampling in space and time required to characterize the heterogeneity of ecosystem structure and function. © 2014 John Wiley & Sons Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/61680
Appears in Collections: 影响、适应和脆弱性
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作者单位: Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Department of Global Ecology, Carnegie Institution for Science, 260 Panama St., Stanford, CA, United States; University of Wisconsin-Madison, Madison, WI, United States; Pacific Northwest National Laboratory, PO Box 999 MSIN: K9-34, MSIN: K9-34, Richland, WA, United States; College of Engineering, Mathematics and Physical Sciences, University of Exeter, North Park Road, Streatham Campus, Harrison Building, Exeter, United Kingdom
Recommended Citation:
Schimel D.,Pavlick R.,Fisher J.B.,et al. Observing terrestrial ecosystems and the carbon cycle from space[J]. Global Change Biology,2015-01-01,21(5)