Remote sensing-based multi-scale characterization of ecohydrological indicators (EHIs) in India

Bejagam, Vijaykumar; Sharma, Ashutosh

doi:10.1016/j.ecoleng.2022.106841

Cited by 6 publications

(1 citation statement)

References 69 publications

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“…Thus, the increase in FVC and climatic factors have been the main reasons for the resulting decline in 'low-low' synergy among the four ES pairs (Figure 5). This underscores the heightened sensitivity of 'low-low' synergy in the northern region to climate change and vegetation growth [69]. More importantly, the 'low-low' synergy does not necessarily signify a favorable state of ES interactions.…”

Section: Driving Forces With Spatial Differences Jointly Affect Es In...mentioning

confidence: 94%

Revealing the Spatial Interactions and Driving Factors of Ecosystem Services: Enlightenments under Vegetation Restoration

Li,

Ren,

et al. 2024

Land

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Large-scale vegetation restoration has caused complex changes in ecosystem service (i.e., ES) interactions. However, current analysis on the spatial interactions of ESs and their driving mechanisms remains deficient, limiting the adaptive management in vegetation restoration areas. This study focused on a representative restoration area (Yan’an) to analyze the relationships among carbon sequestration, water yield, baseflow regulation, and soil conservation from 1990 to 2020. Employing the bivariate boxplot and spatial autocorrelation methods, we identified the overall changes and spatial patterns of ES interactions. The geographically and temporally weighted regression (i.e., GTWR) model was applied to elucidate the driving factors of these spatial ES interactions. The results indicated the following: (1) Over the past three decades, synergies between carbon sequestration and water yield emerged as the joint results of spatial ‘low–low’ interactions and ‘high–high’ interactions between the two ESs, while other ES pairs generally exhibited comparatively weaker synergies, due to their spatial ‘low–high’ interactions in southern semi-humid areas. (2) In the northern semi-arid areas, both fractional vegetation cover (i.e., FVC) and climatic factors consistently exerted negative influences on all ‘low–low’ ES interactions, which caused a reduced area in synergies, while in the southern semi-humid areas, FVC suppressed the ‘low–high’ trade-offs between ESs, indicating the adaptability of grassland restoration efforts. (3) The impact of human activities on ES interactions has increased in the last 10 years, and exhibited positive effects on the ‘low–low’ ES interactions in northern semi-arid areas. However, the expansion of trade-off between soil conservation and carbon sequestration warrants attention. This study offers important insights into understanding the spatial interactions among carbon, water, and soil-related ESs in drylands.

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Section: Driving Forces With Spatial Differences Jointly Affect Es In...mentioning

confidence: 94%

Revealing the Spatial Interactions and Driving Factors of Ecosystem Services: Enlightenments under Vegetation Restoration

Li,

Ren,

et al. 2024

Land

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Spatiotemporal variability and controlling factors of ecosystem water use efficiency in India

Bejagam

Singh

Sharma

2023

Theor Appl Climatol

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Analysis of driving forces on ecohydrological regime and environmental flow changes in Hongze Lake, China

Wei,

Xue,

Liao

et al. 2024

Ecological Informatics

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Remote sensing-based multi-scale characterization of ecohydrological indicators (EHIs) in India

Cited by 6 publications

References 69 publications

Revealing the Spatial Interactions and Driving Factors of Ecosystem Services: Enlightenments under Vegetation Restoration

Revealing the Spatial Interactions and Driving Factors of Ecosystem Services: Enlightenments under Vegetation Restoration

Spatiotemporal variability and controlling factors of ecosystem water use efficiency in India

Analysis of driving forces on ecohydrological regime and environmental flow changes in Hongze Lake, China

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