Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, China.
Department of Physical Geography, College of Urban and Environmental Sciences, Northwest University, Xi'an, China.
Environ Monit Assess. 2023 Nov 23;195(12):1519. doi: 10.1007/s10661-023-12122-8.
Populus euphratica and Tamarix chinensis play a vital role in windbreak and sand fixation, maintaining species diversity and ensuring community stability. Managing and protecting the P. euphratica and T. chinensis forests in the Heihe River's lower reaches is an urgent issue to maintain the desert region's ecological balance. In this study, based on the distribution points of P. euphratica and T. chinensis species and environmental data, MaxEnt and random forest (RF) models were used to characterize the potential distribution areas of P. euphratica and T. chinensis in the lower reaches of the Heihe River. The results showed that the accuracy of the RF model was much higher than that of the MaxEnt model. Both the RF and MaxEnt models showed that the distance to the river greatly influenced the distribution of P. euphratica and T. chinensis. Furthermore, the RF model predicted significantly larger highly suitable areas for both P. euphratica and T. chinensis than the MaxEnt model. Our study enhances the understanding of the species' spatial distribution, offering valuable insights for practical management and conservation strategies.
胡杨和柽柳在防风固沙、维持物种多样性和保障群落稳定性方面发挥着重要作用。管理和保护黑河下游的胡杨和柽柳林，是维护沙漠地区生态平衡的当务之急。本研究基于胡杨和柽柳物种的分布点和环境数据，采用最大熵模型（MaxEnt）和随机森林（RF）模型，对黑河下游胡杨和柽柳的潜在分布区进行了特征化描述。结果表明，RF 模型的准确性明显高于 MaxEnt 模型。RF 和 MaxEnt 模型均表明，距河流的距离对胡杨和柽柳的分布有很大影响。此外，RF 模型预测的胡杨和柽柳高度适宜区面积明显大于 MaxEnt 模型。本研究增进了对这些物种空间分布的理解，为实际的管理和保护策略提供了有价值的信息。
