The Different Impacts of Climate Variability and Human Activities on NPP in the Guangdong–Hong Kong–Macao Greater Bay Area

Remote Sensing

Yanyan Wu¹  Zhaohui Luo²  Zhifeng Wu³ 

[1] School of Culture Tourism and Geography, Guangdong University of Finance and Economics, Guangzhou 510320, China;South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou 510655, China;Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou 511458, China;

关键词: net primary productivity (NPP);    climate variability;    human activities;    scenarios;    Guangdong-Hong Kong-Macao Greater Bay Area;   

DOI  :  10.3390/rs14122929

来源: DOAJ

【 摘 要 】

As two main drivers of vegetation dynamics, climate variability and human activities greatly influence net primary productivity (NPP) variability by altering the hydrothermal conditions and biogeochemical cycles. Therefore, studying NPP variability and its drivers is crucial to understanding the patterns and mechanisms that sustain regional ecosystem structures and functions under ongoing climate variability and human activities. In this study, three indexes, namely the potential NPP (NPP_p), actual NPP (NPP_a), and human-induced NPP (NPP_h), and their variability from 2000 to 2020 in the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) were estimated and analyzed. Six main scenarios were generated based on change trends in the three indexes over the past 21 years, and the different relative impacts of climate variability and human activities on NPP_a variability were quantitatively analyzed and identified. The results showed that the NPP_p, NPP_a, and NPP_h had heterogeneous spatial distributions, and the average NPP_p and NPP_a values over the whole study area increased at rates of 3.63 and 6.94 gC·m⁻²·yr⁻¹ from 2000 to 2020, respectively, while the NPP_h decreased at a rate of −4.43 gC·m⁻²·yr⁻¹. Climate variability and the combined effects of climate variability and human activities were the major driving factors of the NPP_a increases, accounting for more than 72% of the total pixels, while the combined effects of the two factors caused the NPP_a values to increase by 32–54% of the area in all cities expect Macao and across all vegetation ecosystems. Human activities often led to decreases in NPP_a over more than 16% of the total pixels, and were mainly concentrated in the central cities of the GBA. The results can provide a reference for understanding NPP changes and can offer a theoretical basis for implementing ecosystem restoration, ecological construction, and conservation practices in the GBA.

【 授权许可】

Unknown