Subjects: Geosciences >> Geography submitted time 2024-03-01 Cooperative journals: 《干旱区研究》
Abstract： Vegetation carbon use efficiency (CUE) can objectively reflect the efficiency of vegetation insequestering atmospheric carbon and the response of vegetation to climate change. Using MOD17, land use, andmeteorological data, this study applied methods, such as the Hurst exponent, correlation analysis, and sensitivityanalysis to explore the spatiotemporal variability of vegetation CUE and its sensitivity to climate factors in theShaanxi section of the Yellow River Basin from 2001 to 2021. The results showed that (1) From 2001 to 2021,the gross primary productivity, net primary productivity (NPP), and vegetation CUE in the Shaanxi section of theYellow River Basin exhibited an increasing trend, with an average CUE value of 0.51. (2) The study area wasonly 14.21% of the region, exhibiting a decreasing trend. The high-value areas of vegetation CUE are primarilyconcentrated in the windbreak and sand-fixation areas and the Grain for Green Project areas of northern Shaanxi.The areas where vegetation CUE indicated a decreasing trend accounted for 59.96%, most of which transitionedfrom an increasing trend to a decreasing trend. (3) Overall, temperature and precipitation correlated negativelywith vegetation CUE, but the relationship with precipitation is more significant. Regions with positivecorrelations with temperature and precipitation are distributed in northern Shaanxi’s windbreak and sand-fixationareas. Sensitivity analysis of temperature and precipitation showed that the threshold values were 10 °C and 500mm, respectively. When the temperature is below 10 °C and the precipitation is below 500 mm, the vegetationCUE increases with increasing temperature and precipitation. The relationship between vegetation CUE andclimate factors is more significant and sensitive in arid areas, such as the conversion of farmland to forests andwindbreak and sand-fixation areas in northern Shaanxi.
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