DOI: 10.3390/rs12040595
论文题名: Assessing terrestrial ecosystem resilience using satellite leaf area index
作者: Wu J. ; Liang S.
刊名: Remote Sensing
ISSN: 20724292
出版年: 2020
卷: 12, 期: 4 语种: 英语
英文关键词: Ecosystem resilience
; Leaf area index
; Remote sensing
; Spatiotemporal variation
; Terrestrial disturbance
Scopus关键词: Climate change
; Dynamics
; Glass
; Plants (botany)
; Remote sensing
; Arid and semi-arid areas
; Ecosystem resilience
; Leaf Area Index
; Mean annual precipitation
; Mean annual temperatures
; Spatial and temporal variation
; Spatio-temporal variation
; Terrestrial disturbance
; Ecosystems
英文摘要: Quantitative approaches to measuring and assessing terrestrial ecosystem resilience, which expresses the ability of an ecosystem to recover from disturbances without shifting to an alternative state or losing function and services, is critical and essential to forecasting how terrestrial ecosystems will respond to global change. However, global and continuous terrestrial resilience measurement is fraught with difficulty, and the corresponding attribution of resilience dynamics is lacking in the literature. In this study, we assessed global terrestrial ecosystem resilience based on the long time-series GLASS LAI product and GIMMS AVHRR LAI 3g product, and validated the results using drought and fire events as the main disturbance indicators. We also analyzed the spatial and temporal variations of global terrestrial ecosystem resilience and attributed their dynamics to climate change and environmental factors. The results showed that arid and semiarid areas exhibited low resilience. We found that evergreen broadleaf forest exhibited the highest resilience (mean resilience value (from GLASS LAI): 0.6). On a global scale, the increase of mean annual precipitation had a positive impact on terrestrial resilience enhancement, while we found no consistent relationships between mean annual temperature and terrestrial resilience. For terrestrial resilience dynamics, we observed three dramatic raises of disturbance frequency in 1989, 1995, and 2001, respectively, along with three significant drops in resilience correspondingly. Our study mapped continuous spatiotemporal variation and captured interannual variations in terrestrial ecosystem resilience. This study demonstrates that remote sensing data are effective for monitoring terrestrial resilience for global ecosystem assessment. © 2020 by the authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159583
Appears in Collections: 气候变化与战略
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作者单位: State Key Laboratory of Remote Sensing Science, Faculty of Geography Science, Beijing Normal University, Beijing, 100875, China; Department of Geographical Sciences, University of Maryland, College Park, MD 20742, United States
Recommended Citation:
Wu J.,Liang S.. Assessing terrestrial ecosystem resilience using satellite leaf area index[J]. Remote Sensing,2020-01-01,12(4)