[Evolution and Spatial Pattern Optimization of Net Primary Productivity of Vegetation in the Greater Xing'an Mountains of Inner Mongolia Based on Bayesian Networks].
摘要
. The overall growth rate from 2000 to 2008 was higher than that from 2009 to 2022. Spatially, it presented a north-south gradient with 60.89% and 12.02% of vegetation showing improvement and degradation trends, respectively. ② The future change characteristics of NPP were marked by a clear countertrend, with the explanatory power of the dominant factors in descending order being： normalized difference vegetation index （NDVI）, annual precipitation （PRE）, evapotranspiration （ET）, plant available water content （PAWC）, rainfall erosion force （RE）, and annual mean temperature （TEM）. The dominant interactive factors were： TEM and ET, TEM and PAWC, and PRE and RE. ③ The sensitivity analysis showed that the annual NPP was greatly influenced by the key subsets of PRE, RE, and PAWC, and different states of conditions could divide the ecological pattern optimization space. The spatiotemporal heterogeneity patterns of NPP of vegetation in the Greater Xing'an Mountains of Inner Mongolia were obvious.