Journal of Hydrology · 2025 · 21 citations · 68 references
AgricultureEarth SciencesEcologySoil ScienceSoil-water RelationsTerrestrial EcologyDroughtLeaf Area Index EstimationPlant Water UseSoil - Vegetation InteractionsSoil MoistureVegetation IndicesDryland EcosystemsProductivity Under DroughtRoot-zone Soil MoistureVapor Pressure Deficit EffectsVegetation Carbon DynamicsVegetation ProductivityVegetation Water RelationsVegetation-hydrology Interactions
Atmospheric water demands and soil moisture are crucial components of vegetation water stress, especially for dryland ecosystems where water availability is a severe constraint for their sustainable development. Although the effects of water stress on vegetation productivity and the underlying ecological mechanism have been recognized extensively, the relative contribution of atmospheric and soil water stress changes on vegetation productivity are still in debate, and their temporal dynamics remain unclear. To fill this knowledge gap, here we collected remote sensing meteorological, root-zone soil moisture and vegetation productivity proxies (represented by kernel Normalized Difference Vegetation Index, kNDVI and Nirv-GPP) during the period 1982–2015 to quantify the sensitivity of vegetation productivity to atmospheric water stress (represented by vapor pressure deficit (VPD)), soil water stress (represented by root-zone soil moisture (SM)) and their interaction (represented by SM × VPD) across global drylands, based on a series of dedicated factorial experiments within random forest (RF) framework. The results showed that soil water stress exerted predominant influence on vegetation carbon uptake spatially throughout the study period. Moreover, a rising sensitivity of vegetation productivity to SM and a declining sensitivity to VPD were widely captured. We also found that atmospheric water stress dominated the temporal change in the sensitivity of vegetation productivity to their interactive effect, indicating a weakening importance of soil water stress. Our research highlights the increasing importance of atmospheric water stress and enhances our understanding of how vegetation carbon and water cycles respond to climate change in dryland ecosystems.
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Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset
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