Phenological and physiological responses of the terrestrial ecosystem to the 2019 drought event in Southwest China: Insights from satellite measurements and the SSiB2 model

Li, Lingfeng; Qiu, Bo; Guo, Weidong; Zhang, Yiping; Song, Qinghai; Chen, Jiuyi

doi:10.1016/j.jag.2022.102832

Cited by 2 publications

(2 citation statements)

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“…Compared to the traditional greenness-based vegetation indexes, satellite-based SIF enables accurate and timely monitoring of the physiologically relevant responses of vegetation to extreme climate events [36]. Previous studies used SIF as the indicator of photosynthesis have focused on vegetation response to drought and heat waves [36,57,58]. In this study, we used SIF to study the effect of extreme wetting on vegetation.…”

Section: The Potential and Uncertainty Of Sif In Monitoring Vegetatio...mentioning

confidence: 99%

Divergent response of crops and natural vegetation to the record-breaking extreme precipitation event in 2020 modulated by topography

Chen

Qiu

Guo

et al. 2023

Environ. Res. Lett.

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Extreme precipitation events have posed a threat to global terrestrial ecosystems in recent decades. However, the response of terrestrial ecosystems to extreme precipitation in areas with various vegetation types and complex topography remains unclear. Here, we used satellite-based solar-induced chlorophyll fluorescence (SIF) measurements, a direct proxy of photosynthetic activity, to assess the response of vegetation to the record-breaking extreme precipitation event during the East Asia monsoon season in eastern China in 2020. Our results demonstrate that vegetation was adaptable to moderate increases in precipitation, but photosynthetic activity was significantly inhibited by exposure to extreme precipitation because of insufficient PAR and waterlogging. The responses of vegetation photosynthesis to extreme precipitation were regulated by both vegetation type and topography. Crops in the lowland areas in eastern China were severely damaged due to their higher vulnerability and exposure to extreme precipitation. The topography-induced redistribution of precipitation accounts for the modulation of vegetation response to extreme precipitation. Our research highlights the urgent need for effective management and adaptive measures of croplands under the elevated risk of extreme precipitation in the future.

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Section: The Potential and Uncertainty Of Sif In Monitoring Vegetatio...mentioning

confidence: 99%

Divergent response of crops and natural vegetation to the record-breaking extreme precipitation event in 2020 modulated by topography

Chen

Qiu

Guo

et al. 2023

Environ. Res. Lett.

Self Cite

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show abstract

“…These data are actively used in many different disciplines such as land use and land cover classification of both natural and urban areas [6][7][8][9][10][11], precision agriculture [12,13], classification and nitrogen status [12], crop yield estimation and forecasting [14][15][16], forest fires [17] and vegetation phenology [18,19], estimation of crop growing stages [20], forest composition and its biophysical drivers [21], discriminating plant species [22], estimation of gross primary productivity (GPP) [23], drought detection [24] and impact of mining on vegetation phenology [25].…”

Section: Spaceborne Remote Sensingmentioning

confidence: 99%