Li Xue, Yu Kun-Xia, Xu Guo-Ce, Li Peng, Li Zhan-Bin, Shi Peng
State Key Laboratory of Ecological Water Resources in Northwest Arid Zone, Xi'an University of Technology, Xi'an 710000, China.
Huan Jing Ke Xue. 2024 Nov 8;45(11):6448-6457. doi: 10.13227/j.hjkx.202312070.
The Net Primary Productivity (NPP) of vegetation plays a crucial role in terrestrial ecosystems, and a detailed investigation into the annual average NPP and its driving factors is of significant importance for promoting regional ecological construction and sustainable development. This research utilized MOD17A3 annual average NPP data from 2000 to 2020 and employed methods such as trend analysis, Hurst index, random forest model, partial dependence model, geographic weighted regression, and partial least squares-structural equation model (PLS-SEM) to analyze the annual variation characteristics of NPP and its relationship with driving factors in the upper and middle reaches of the Yellow River. The results showed: ① During the period from 2000 to 2020, the annual average NPP in the upper and middle reaches of the Yellow River generally exhibited a year-on-year increasing trend, with 79.25% of the region showing a significant improvement in annual average NPP, while 0.25% of the region exhibited a severe degradation trend. ② The dominant influencing factors of the annual average NPP in the upper and middle reaches of the Yellow River included precipitation, NDVI, drought, and relative humidity. The suitable range for increasing annual average NPP was 400 mm to 650 mm for precipitation and 40% to 70% for relative humidity, and NDVI showed a significantly linear positive correlation with annual average NPP. Drought index was negatively correlated with annual average NPP. The annual average NPP tended to stabilize and did not decline further when the drought index exceeded the threshold of 8. ③ Extreme rainfall indirectly affected the variation in annual average NPP in the basin by influencing the vegetation growth condition. The impact degree of extreme rainfall indices on the annual average NPP in the basin was in the following order: R10>R95P>PRCPTOT>SDII>Rx5day>R99P. ④ The next steps in ecological construction in the upper and middle reaches of the Yellow River should focus on the arid and severely arid regions in the northern part of the Yellow River, adapting measures to local conditions and enhancing the regional ecological environment.
植被的净初级生产力(NPP)在陆地生态系统中起着至关重要的作用,详细调查年平均NPP及其驱动因素对于促进区域生态建设和可持续发展具有重要意义。本研究利用2000年至2020年的MOD17A3年平均NPP数据,采用趋势分析、赫斯特指数、随机森林模型、偏依赖模型、地理加权回归和偏最小二乘结构方程模型(PLS-SEM)等方法,分析黄河中上游地区NPP的年变化特征及其与驱动因素的关系。结果表明:①2000年至2020年期间,黄河中上游地区年平均NPP总体呈逐年上升趋势,79.25%的区域年平均NPP显著改善,而0.25%的区域呈严重退化趋势。②黄河中上游地区年平均NPP的主要影响因素包括降水、归一化植被指数(NDVI)、干旱和相对湿度。年平均NPP增加的适宜范围为降水量400毫米至650毫米,相对湿度40%至70%,NDVI与年平均NPP呈显著线性正相关。干旱指数与年平均NPP呈负相关。当干旱指数超过8的阈值时,年平均NPP趋于稳定,不再进一步下降。③极端降雨通过影响植被生长状况间接影响流域年平均NPP的变化。极端降雨指数对流域年平均NPP的影响程度依次为:R10>R95P>PRCPTOT>SDII>Rx5day>R99P。④黄河中上游地区生态建设的下一步应聚焦于黄河以北的干旱和严重干旱地区,因地制宜,加强区域生态环境建设。