Spatiotemporal variation of CUE and its correlation with climate change in Guangdong-Hong Kong-Macao Greater Bay Area
LUO Zhao-hui, ZHU Lu-ping, ZHANG Xiao-jun, FANG Qiao-li, YANG Xiao, ZHOU Li-xuan, YU Xi-jun, LIANG Ming-yi, LU Jun-qing
State Environmental Protection Key Laboratory of Urban Ecological Simulation and Protection, South China Institute of Environmental Science, Ministry of Environmental Protection, Guangzhou 510535, China
Abstract：The variation and correlation with climate change of vegetation productivity (GPP and NPP) and CUE in Guangdong-Hong Kong-Macao Greater Bay Area (GBA) were analyzed based on trend analysis and correlation analysis by using MOD17 dataset during 2000~2019. Our results indicated that: (1) the mean value of GPP, NPP and CUE were 1.80kg·C/m2, 0.89kg·C/m2 and 0.51, respectively. The spatial patterns of GPP and NPP displayed an increase trend from middle part of the GBA to the around, while CUE showed an inverse spatial pattern. (2) GPP and NPP showed an increase trend during the period of 2000~2019 with the change rate of 0.01kg·C/(m2·a) and 0.001kg·C/(m2·a), respectively, and the variation rate of GPP was higher than that of NPP. The increasing trends of GPP and NPP among vegetation types were also observed. However, CUE displayed a decrease trend at approximately -0.002a-1, and more than 68% of the whole area showed a decrease CUE in future, which indicated a gradually weakened capacity of vegetation carbon sequestration due to the possible reasons of different sensitive of photosynthesis and autotrophic respiration caused by cumulative net solar radiation. Additionally, the highest CUE was found for farmland, approximately (0.511±0.014), followed by forest and grassland, and the CUE were (0.500±0.019) and (0.501±0.020), respectively. Moreover, CUE for different vegetation types were all displayed a significant decreasing trend (P < 0.01) during study period. (3) GPP was positively correlated with temperature, cumulative precipitation and cumulative net solar radiation, and accounted approximately 94.52%, 53.36% and 90.58%, respectively. The relationship between NPP and climate factors was similar to that of GPP, and the proportion were 86.86%, 71.10% and 85.97%, respectively. However, positive relationships were found between CUE and temperature and cumulative precipitation, while negative relationship was found between CUE and cumulative net solar radiation. Similarly, GPP and NPP were all positive with climate factors for different vegetation types, and relationship between CUE and temperature as well as cumulative precipitation for different vegetation types were also positive. However, negative relationship was found between CUE and cumulative net solar radiation for three vegetation types.
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