MaxEnt-Based Predictions of Suitable Potential Distribution of <i>Leymus secalinus</i> Under Current and Future Climate Change.

ABSTRACT: Grassland degradation is a serious ecological issue in the farming-pastoral ecotone of northern China. Utilizing native grasses for the restoration of degraded grasslands is an effective technological approach. Leymus secalinus is a superior indigenous grass species for grassland ecological restoration in northern China. Therefore, the excavation of potential distribution areas of L. secalinus and important ecological factors affecting its distribution is crucial for grassland conservation and restoration of degraded grasslands. Based on 357 data points collected on the natural distribution of L. secalinus, this study employs the jackknife method and Pearson correlation analysis to screen out 23 variables affecting its spatial distribution. The MaxEnt model was used he

SUBMITTER: Zhao S 

PROVIDER: S-EPMC11768666 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature