%0 Journal Article
%A MENG  Xin
%A LIU  Jun
%A ZHANG  Ju-mei
%A SU  Yu-fan
%A YANG  Jun-liang
%T Quantitative Evaluation of the Impact of Human Activities on Net Primary Productivity of Vegetation in Lüliang Mountains
%D 2024
%R 10.11988/ckyyb.20230452
%J Journal of Changjiang River Scientific Research Institute
%P 65-74
%V 41
%N 11
%X <p id="p00015">To investigate the spatial and temporal distribution patterns of vegetation net primary productivity (NPP) in the Lüliang Mountains from 2000 to 2019, and to quantitatively assess the impact of human activities on these patterns, this study employs an enhanced CASA model to estimate the actual NPP (NPP<sub>A</sub>) for the region. By integrating the potential NPP (NPP<sub>P</sub>) estimated using Zhou Guang-sheng’s model, we calculate the NPP loss (NPP<sub>H</sub>) attributed to human activities. In association with the Relative Impact Contribution Index (RICI), we quantify the influence of human activities on vegetation NPP and analyze how changes in land use types affect NPP<sub>A</sub>. Results reveal that NPP<sub>A</sub> in the Lüliang Mountains generally exhibited a decreasing trend from southeast to northwest, while NPP<sub>H</sub> displayed an increasing trend in the same direction. Changes in land use primarily affected forest land, farmland, grassland, and water bodies. Increasing areas of forest land and farmland led to a rise in total NPP<sub>A</sub>, whereas converting forest land to other uses and transforming grassland into farmland resulted in a decrease in NPP<sub>A</sub>. Human activities account for 51.80% of the observed changes in NPP, highlighting their significant role in altering NPP in the Lüliang Mountains. These findings provide a scientific foundation for the restoration, protection, and sustainable management of ecological environment in the Lüliang Mountains.</p>
%U http://ckyyb.crsri.cn/EN/10.11988/ckyyb.20230452