干旱区生态环境知识资源中心(Arid): Remote sensing-based multi-scale characterization of ecohydrological indicators (EHIs) in India

Arid

DOI	10.1016/j.ecoleng.2022.106841
	Remote sensing-based multi-scale characterization of ecohydrological indicators (EHIs) in India
	Bejagam, Vijaykumar; Sharma, Ashutosh
通讯作者	Sharma, A
来源期刊	ECOLOGICAL ENGINEERING
ISSN	0925-8574
EISSN	1872-6992
出版年	2023
卷号	187
英文摘要	The carbon, water, and energy cycles play an important role in the terrestrial ecosystem's functioning. Climate change and hydroclimatic disturbances are primary factors that influence these cycles, yet little is known about the major ecohydrological indicators (EHIs) that characterize these cycles. In addition, it is essential to analyze spatiotemporal variations and driving factors of EHIs to comprehend how well terrestrial ecosystems can preserve their structure and function in the face of hydroclimatic perturbations. We assessed the three important EHIs, namely water use efficiency (WUEe), rain use efficiency (RUEe), and light use efficiency (LUEe), as well as their controlling factors, in India from 2002 to 2017 at various spatial scales (major river basins, climatic zones, and land cover types). In general, high EHI values were found in high productivity ecosystems (e.g., forest ecosystems) compared to low productivity ecosystems (e.g., cropland and grassland ecosystems). WUEe and LUEe have similar characteristics and were higher in mountain, tropical wet, and tropical wet-dry zones, whereas lower in arid zones. RUEe shows distinct spatial characteristics with higher values in semi-arid zones and lower values in arid zones. The drivers investigated in this study include CO2 concentrations, evapotranspiration (ET), humidity, leaf area index (LAI), normalized difference vegetation index (NDVI), precipitation (PRECIP), soil moisture (SM), solar radiation (SR), temperature (TEMP), vapor pressure deficit (VPD), and wind speed (WS). All three EHIs were found sensitive to TEMP and SR at a national scale, whereas CO2 was a significant driver in arid ecosystems. Other controlling factors (e.g., VPD, SM, and humidity) also played a significant role at smaller spatial scales. Further, this study finds that undisturbed ecosystems (only climate influenced) have slightly higher values of EHIs compared to disturbed (climate-human influenced) ecosystems. Based on the results, in future, it can be expected that an increase in the incident SR and TEMP will decrease the EHIs in India. This study helps understand the coupling of water, carbon, and energy cycles, and the findings from this research can be a reference for ecosystem conservation and restoration.
英文关键词	EHIs Light use efficiency Rain use efficiency Terrestrial Ecosystems Water use efficiency
类型	Article
语种	英语
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:000904606800002
WOS关键词	WATER-USE EFFICIENCY ; LIGHT-USE EFFICIENCY ; RAIN-USE EFFICIENCY ; PRECIPITATION-USE EFFICIENCY ; RADIATION-USE EFFICIENCY ; NET ECOSYSTEM EXCHANGE ; HYDROCLIMATIC DISTURBANCES ; TERRESTRIAL ECOSYSTEMS ; CLIMATE VARIABILITY ; GLOBAL PATTERNS
WOS类目	Ecology ; Engineering, Environmental ; Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology ; Engineering
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395902
推荐引用方式 GB/T 7714	Bejagam, Vijaykumar,Sharma, Ashutosh. Remote sensing-based multi-scale characterization of ecohydrological indicators (EHIs) in India[J],2023,187.
APA	Bejagam, Vijaykumar,&Sharma, Ashutosh.(2023).Remote sensing-based multi-scale characterization of ecohydrological indicators (EHIs) in India.ECOLOGICAL ENGINEERING,187.
MLA	Bejagam, Vijaykumar,et al."Remote sensing-based multi-scale characterization of ecohydrological indicators (EHIs) in India".ECOLOGICAL ENGINEERING 187(2023).