Meng Luo, Shengwei Zhang, Ruishen Li, Xi Lin, Shuai Wang, Lin Yang, Kedi Fang
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引用次数: 0
Abstract
Vegetation carbon sequestration is a fundamental process that supports ecosystem biodiversity and ecological services. It is a key factor in shaping ecosystem state and energy flow. Global climate change has intensified in recent years. Frequent drought events affect the stabilization of carbon cycle. In this study, we used correlation analysis method to explore the relationship between standardized precipitation evapotranspiration index (SPEI) and gross primary productivity (GPP). Our study found that the global drought degree is decreasing, and drought sensitivity of global surface vegetation decreased. The drought index value increased 91.3% and the sensitivity decreased 35.71% during the 2010–2020 period (P2) compared to the 2000–2010 period (P1). Our study also found that the global area of drought decreased by 4.03% in P2, but the global area with high drought frequency increased by 0.21%. The drought response time scale shortened by 5.19%. GPP showed an increasing trend, with the largest increase in agricultural land. By studying the interaction between drought and different vegetation types, we can better understand the mechanisms by which vegetation responds, adapts and regulates to climate change. It is necessary for understanding the sustainable development of global ecosystems and climate change response.
期刊介绍:
The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.