Arid
DOI10.1002/ldr.3019
Spatial patterns of long-term vegetation greening and browning are consistent across multiple scales: Implications for monitoring land degradation
Murthy, Karthik; Bagchi, Sumanta
通讯作者Bagchi, Sumanta
来源期刊LAND DEGRADATION & DEVELOPMENT
ISSN1085-3278
EISSN1099-145X
出版年2018
卷号29期号:8页码:2485-2495
英文摘要

Understanding spatial-temporal patterns of terrestrial vegetation response to climate change (long-term greening/browning) is important for developing strategies to mitigate degradation. Semiarid rangelands are especially susceptible to degradation, which challenges wildlife conservation and human livelihoods that depend on livestock production. In the cold-arid Trans-Himalayan ecosystem (northern India), temperature is increasing, and it is also becoming progressively wetter. Yet, counter-intuitively, there are widespread concerns over degradation. We evaluated whether greening/browning patterns in long-term satellite-derived vegetation indices (normalized difference vegetation index [NDVI]) are consistent across different spatial and temporal scales using 6 datasets: MODIS (250m, 500m, 1km, and 5.5km), SPOT 1km, and GIMMS 8km. Results indicate browning in the spring and greening in late summer. Location of hotspots of degradation (browning) was broadly consistent across spatial scales (10(-2)-10(2)km(2)) and were found in regions with warmer temperature and at higher elevations. Broadly, the spatial/temporal pattern of browning does not coincide strongly with location and timing of human land use via livestock grazing. This geographical and seasonal context indicates that vegetation response may be more strongly related to climate than to human land use (overgrazing). Importantly, the dynamic nature of greening/browning, across space and time, is not captured by composite annual metrics (sum-NDVI, max-NDVI, and mean-NDVI). This reiterates the importance of both intraannual and interannual assessments. Location of hotspots indicates that degradation occurs in a spatially contiguous manner, but these are not stationary and instead shift with seasons. Overall, the results show that evaluating the consistency of greening/browning trends across different spatial/temporal scales is critical for understanding and managing vegetation degradation.


英文关键词climate change grazing management restoration ecology Sen’s slope time series analysis
类型Article
语种英语
国家India
收录类别SCI-E ; SSCI
WOS记录号WOS:000441249100022
WOS关键词TIBETAN PLATEAU ; CLIMATE-CHANGE ; CARBON SEQUESTRATION ; TRANS-HIMALAYA ; UP DATES ; MANAGEMENT ; ECOSYSTEM ; DRIVERS ; SYSTEMS ; CHINA
WOS类目Environmental Sciences ; Soil Science
WOS研究方向Environmental Sciences & Ecology ; Agriculture
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/211496
作者单位Indian Inst Sci, Ctr Ecol Sci, Bangalore 560012, Karnataka, India
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Murthy, Karthik,Bagchi, Sumanta. Spatial patterns of long-term vegetation greening and browning are consistent across multiple scales: Implications for monitoring land degradation[J],2018,29(8):2485-2495.
APA Murthy, Karthik,&Bagchi, Sumanta.(2018).Spatial patterns of long-term vegetation greening and browning are consistent across multiple scales: Implications for monitoring land degradation.LAND DEGRADATION & DEVELOPMENT,29(8),2485-2495.
MLA Murthy, Karthik,et al."Spatial patterns of long-term vegetation greening and browning are consistent across multiple scales: Implications for monitoring land degradation".LAND DEGRADATION & DEVELOPMENT 29.8(2018):2485-2495.
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