Arid
DOI10.3390/rs12040595
Assessing Terrestrial Ecosystem Resilience using Satellite Leaf Area Index
Wu, Jinhui1; Liang, Shunlin2
通讯作者Liang, Shunlin
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2020
卷号12期号:4
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.
英文关键词terrestrial disturbance leaf area index remote sensing spatiotemporal variation ecosystem resilience
类型Article
语种英语
国家Peoples R China ; USA
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000519564600006
WOS关键词NET PRIMARY PRODUCTION ; ECOLOGICAL RESILIENCE ; TIME-SERIES ; CLIMATE ; BIODIVERSITY ; DROUGHT ; FOREST ; STABILITY ; RESPONSES ; DYNAMICS
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构北京师范大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/315426
作者单位1.Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China;
2.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
推荐引用方式
GB/T 7714
Wu, Jinhui,Liang, Shunlin. Assessing Terrestrial Ecosystem Resilience using Satellite Leaf Area Index[J]. 北京师范大学,2020,12(4).
APA Wu, Jinhui,&Liang, Shunlin.(2020).Assessing Terrestrial Ecosystem Resilience using Satellite Leaf Area Index.REMOTE SENSING,12(4).
MLA Wu, Jinhui,et al."Assessing Terrestrial Ecosystem Resilience using Satellite Leaf Area Index".REMOTE SENSING 12.4(2020).
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