Analysis on the spatio-temporal variation and influencing factors of net primary productivity of vegetation in the ecological region of the Yellow River basin from 2001 to 2022
Net primary productivity(NPP)represents the level of carbon exchange between ecosystem and atmosphere,is the'converter'of ecosystem material and energy cycle,and is also an important index to evaluate and predict the sustainable development of ecosystem.Taking the Yellow River basin as the study area,combined with the methods of regression analysis,Hurst index and residual analysis,this study analyzes the temporal and spatial variation of vegetation NPP and its influencing factors in the Yellow River basin from the perspective of ecological region,discusses the influence of climate and human activities on vegetation NPP in the Yellow River basin,and predicts the future evolution trend of NPP.The results show that:1)The annual average NPP of vegetation in the Yellow River basin from 2001 to 2022 is 291.03 gC/m2,which is high in the north and low in the south.The mean NPP of vegetation in the deciduous and evergreen broad-leaved forest ecological region of Qinba Mountain is the highest,which is 486.6 gC/m2.2)The overall vegetation NPP in the Yellow River basin increased significantly at the rate of 4.93 gC/(m2·a)(p<0.01).The annual growth rate of vegetation NPP in the agricultural and steppe ecological region of the Loess Plateau was the highest,about 8.21 gC/(m2·a)(p<0.01).3)The future change trend of NPP in 82.26%of the Yellow River basin shows increase and anti-persistence,but the intensity of anti-persistence is different.4)The monthly or seasonal temperature is the most important climatic factor affecting the annual vegetation NPP in the Yellow River basin.5)Most areas of the Yellow River basin are jointly promoted by climate and human activities,but counterproductive in the surrounding areas of provincial capitals,climate,human activities or the coupling of climate and human activities.
Yellow River basinecological zonevegetation net primary productivityspatio-temporal characteristicsinfluencing factors