Landscape Spatiotemporal Heterogeneity Decreased the Resistance of Alpine Grassland to Soil Droughts DOI Creative Commons
Yuxin Wang, Hu Liu,

Wenzhi Zhao

и другие.

Remote Sensing, Год журнала: 2025, Номер 17(7), С. 1293 - 1293

Опубликована: Апрель 4, 2025

Alpine grasslands face increasing threats from soil droughts due to climate change. While extensive research has focused on the direct impacts of drought vegetation, role landscape fragmentation and spatiotemporal heterogeneity in shaping response these ecosystems remains inadequately explored. This study aims fill this gap by examining Gannan alpine grassland northeastern Qinghai-Tibet Plateau. Using remote sensing data, indicators spatial temporal were derived, including variance (SCV), autocorrelation (SAC), (TAC). Two thresholds (Tr: threshold rapid resistance loss Tc: complete loss) representing percentile-based intensities identified assess NDVI decline under conditions. Our findings indicate that low droughts, with mean Tr Tc 8.93th 7.36th percentile, respectively. Both decreasing reduced vegetation resistance, SCV having a more pronounced effect. Specifically, increased 1.4 times faster 2.6 time slower than SCV, These results underscore critical modulating responses drought, suggesting managing patches could enhance ecosystem resilience.

Язык: Английский

Landscape Spatiotemporal Heterogeneity Decreased the Resistance of Alpine Grassland to Soil Droughts DOI Creative Commons
Yuxin Wang, Hu Liu,

Wenzhi Zhao

и другие.

Remote Sensing, Год журнала: 2025, Номер 17(7), С. 1293 - 1293

Опубликована: Апрель 4, 2025

Alpine grasslands face increasing threats from soil droughts due to climate change. While extensive research has focused on the direct impacts of drought vegetation, role landscape fragmentation and spatiotemporal heterogeneity in shaping response these ecosystems remains inadequately explored. This study aims fill this gap by examining Gannan alpine grassland northeastern Qinghai-Tibet Plateau. Using remote sensing data, indicators spatial temporal were derived, including variance (SCV), autocorrelation (SAC), (TAC). Two thresholds (Tr: threshold rapid resistance loss Tc: complete loss) representing percentile-based intensities identified assess NDVI decline under conditions. Our findings indicate that low droughts, with mean Tr Tc 8.93th 7.36th percentile, respectively. Both decreasing reduced vegetation resistance, SCV having a more pronounced effect. Specifically, increased 1.4 times faster 2.6 time slower than SCV, These results underscore critical modulating responses drought, suggesting managing patches could enhance ecosystem resilience.

Язык: Английский

Процитировано

0