The objective of this study was to generate an ecological niche modeling (ENM) to determine potential sites or areas where the growth and development of halophyte species are the most appropriate. To determine the number of halophyte species in the zone of study, the random quadrant method was used. The material collected per site was separated and identified. One hundred samples were taken from the soil at a depth of 20 cm for the analysis of five chemical properties. Evaporation, precipitation, and minimum and maximum temperature data were obtained from 34 meteorological stations. Geostatistical techniques were applied for the spatial prediction of the climate and soil variables. In addition, five scenes from the Sentinel-2A satellite and the digital elevation model were retrieved. Principal component analysis was performed on the 15 environmental predictors. Ten algorithms were used to conduct the ENM. The ENM results of the halophyte species were reclassified in binary maps. A species richness (PRS) map was created according to the predictions from the sum of binary maps. The PRS map was used to define the potential sites to grow and develop halophyte species of anthropogenic interest. Ten halophyte species were found in the sampled zone, of which 70% were native. The first seven principal components (95% of the cumulative variance) were used for the ENM. The AUC values of the halophyte species models ranged from 0.61 to 0.98. A total of 38% of the study area was considered suitable for potential sites of halophyte species.

这项研究的目的是生成生态位模型（ENM），以确定盐生植物物种的生长和发育最合适的潜在场所或区域。为了确定研究区内盐生植物的数量，使用了随机象限方法。每个站点收集的材料被分离和识别。从20厘米深度的土壤中采集了100个样品，以分析五种化学性质。从34个气象站获得了蒸发，降水以及最低和最高温度数据。地统计学技术被用于气候和土壤变量的空间预测。此外，还从Sentinel-2A卫星和数字高程模型中检索了五个场景。对15个环境预测因素进行了主成分分析。使用十种算法进行ENM。盐生植物物种的ENM结果在二值图中重新分类。根据二元图总和的预测，创建了物种丰富度（PRS）图。PRS图被用来定义潜在的地点，以生长和发展人为关注的盐生植物物种。在采样区内发现了10种盐生植物物种，其中70％是原生的。ENM使用前七个主要成分（累积差异的95％）。盐生植物物种模型的AUC值在0.61至0.98之间。总共38％的研究区域被认为适合于盐生植物物种的潜在场所。盐生植物物种的ENM结果在二值图中重新分类。根据二元图总和的预测，创建了物种丰富度（PRS）图。PRS图被用来定义潜在的地点，以生长和发展人为关注的盐生植物物种。在采样区内发现了10种盐生植物物种，其中70％是原生的。ENM使用前七个主要成分（累积差异的95％）。盐生植物物种模型的AUC值在0.61至0.98之间。共有38％的研究区域被认为适合于盐生植物物种的潜在场所。盐生植物物种的ENM结果在二值图中重新分类。根据二元图总和的预测，创建了物种丰富度（PRS）图。PRS图被用来定义潜在的地点，以生长和发展人为关注的盐生植物物种。在采样区内发现了10种盐生植物物种，其中70％是原生的。ENM使用前七个主要成分（累积差异的95％）。盐生植物物种模型的AUC值在0.61至0.98之间。共有38％的研究区域被认为适合于盐生植物物种的潜在场所。PRS图被用来定义潜在的地点，以生长和发展人为关注的盐生植物物种。在采样区内发现了10种盐生植物物种，其中70％是原生的。ENM使用前七个主要成分（累积差异的95％）。盐生植物物种模型的AUC值在0.61至0.98之间。共有38％的研究区域被认为适合于盐生植物物种的潜在场所。PRS图被用来定义潜在的地点，以生长和发展人为关注的盐生植物物种。在采样区内发现了10种盐生植物物种，其中70％是原生的。ENM使用前七个主要成分（累积差异的95％）。盐生植物物种模型的AUC值在0.61至0.98之间。共有38％的研究区域被认为适合于盐生植物物种的潜在场所。