4.7 Article

Climate Rather Than Vegetation Changes Dominate Changes in Effective Vegetation Available Water Capacity

期刊

WATER RESOURCES RESEARCH
卷 58, 期 3, 页码 -

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1029/2021WR030319

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资金

  1. National Key R&D Program of China [2020YFA0608403]
  2. National Natural Science Foundation of China [41930652, U19A2051, 42022001, 41877150, 42001029]
  3. Guangxi Natural Science Foundation [2018GXNSFBA050003, 2018GXNSFGA281003]
  4. Natural Science Foundation of Guangdong Province of China [2019A1515110969]
  5. Singapore Ministry of Education (MOE) Academic Research Fund Tier-1 project [R-302-000-265-133]

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China has seen significant vegetation greening in recent decades, but its impact on effective vegetation available water capacity (EVAWC) is relatively minor. This study finds that changes in EVAWC over China are mainly influenced by climate variability rather than vegetation changes. This finding is important for understanding the key determinants of ecosystem resilience in China.
China has experienced significant vegetation greening over recent decades. Vegetation greening may regulate the effective vegetation available water capacity (EVAWC), which determines the root zone water availability for evapotranspiration. EVAWC is one of the most important factors controlling vegetation growth and ecosystem resilience. Despite its importance, quantifying EVAWC at large scale is challenging due to limited observations of soil properties and insufficient understanding of underlying physical processes. Thus, to what extent changes in EVAWC are driven by vegetation and climate change is still unclear. Here, we establish a physics-based, data-driven stochastic approach to examine the spatiotemporal variability of the EVAWC and its potential drivers over China, with the consideration of vegetation and climate dynamics. The major strength of our approach is that it does not require observations related to soil properties as inputs, but only needs a few simple hydrometeorological and remotely sensed vegetation parameters that can be easily obtained. On average, we find that vegetation changes tend to increase EVAWC over 71.0 +/- 3.9% of the total land area in China, while climate variabilities tend to reduce EVAWC over 73.7 +/- 9.5% of the land area. More importantly, the potential increase in EVAWC resulting from vegetation changes is offset by climate variability. As a result, the changes in EVAWC over recent decades are generally dominated by climate variabilities (relative contribution of 82.7 +/- 9.6%) rather than vegetation changes, especially in humid and semihumid areas. Our results suggest that vegetation greening in China has subordinate impacts on EVAWC, and ecosystem resilience is mainly dominated by the local climate.

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