Abstract This study involves the initiation of a novel data driven habitat suitability hierarchical approach used for the identification and prediction of suitable regions for Larus relictus a signature waterbird specie of Erdos Larus relictus National Nature Reserve (ELRNNR). This approach was proposed using GIS to incorporate a readily available environmental parameters (NDVI, NDWI, Slope, DEM, Land use, NDBI) used as the Remote sensing (RS) information and the threat factors (road networks, developed buildings and vegetation) used as the vector information to allow us quantitatively describe the habitat suitability for L. relictus. The RS and Vector information were statistically analyzed and ranked before incorporation into thiessen polygon using ArcGIS to produce the final habitat suitability output which was validated using a conventional habitat suitability model (weight applied). A sensitivity analysis conducted to assess the contribution of each parameter to this approach revealed that threat factors (Vector dataset) was the most significant factor. It was also revealed that this approach compared with HSM showed some statistical relationships indicating similar predictions in most region specifically the high and the low suitable regions. From the results, about 8% of the study region was predicted to be highly suitable for this species most of which was situated around the Lake in the region. The southern and northwestern regions covering about 45% of the study region proved to be unsuitable due to the significantly high density of threat factors in those regions. Compared to other decision making models, this approach possesses some unique qualities like flexibility and autonomy giving its users the options of weight application and reliance on expert opinion when necessary. It is also anticipated towards supporting conservationist and resource managers with the development of strategies or recommendations for sustainably managing the ecosystem to enhance the protection of L. relictus or other waterbird species in the region.

中文翻译：

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使用遥感和 GIS 评估一种新的数据驱动的栖息地适宜性排名方法对 Larus relictus 物种

摘要 本研究涉及启动一种新的数据驱动的栖息地适宜性分层方法，用于识别和预测 Larus relictus 的适宜区域，这是鄂尔多斯 Larus relictus 国家自然保护区 (ELRNNR) 的标志性水鸟物种。这种方法是使用 GIS 提出的，以合并用作遥感 (RS) 信息的现成环境参数（NDVI、NDWI、坡度、DEM、土地利用、NDBI）和使用的威胁因素（道路网络、开发的建筑物和植被）作为矢量信息，我们可以定量描述 L. relictus 的栖息地适宜性。RS 和 Vector 信息在使用 ArcGIS 并入泰森多边形之前进行统计分析和排名，以产生最终的栖息地适宜性输出，该输出使用传统的栖息地适宜性模型（应用权重）进行验证。为评估每个参数对这种方法的贡献而进行的敏感性分析表明，威胁因素（矢量数据集）是最重要的因素。还表明，与 HSM 相比，这种方法显示出一些统计关系，表明在大多数区域，特别是高和低合适的区域，预测结果相似。根据结果​​，预计约 8% 的研究区域非常适合该物种，其中大部分位于该地区的湖泊周围。覆盖研究区域约 45% 的南部和西北部地区被证明是不合适的，因为这些地区的威胁因素密度非常高。与其他决策模型相比，这种方法具有一些独特的品质，例如灵活性和自主性，为用户提供权重应用的选项，并在必要时依赖专家意见。预计还将支持保护主义者和资源管理人员制定可持续管理生态系统的战略或建议，以加强对该地区的 L. relictus 或其他水鸟物种的保护。这种方法具有一些独特的品质，例如灵活性和自主性，为用户提供权重应用选项，并在必要时依赖专家意见。预计还将支持保护主义者和资源管理人员制定可持续管理生态系统的战略或建议，以加强对该地区的 L. relictus 或其他水鸟物种的保护。这种方法具有一些独特的品质，例如灵活性和自主性，为用户提供权重应用选项，并在必要时依赖专家意见。预计还将支持保护主义者和资源管理人员制定可持续管理生态系统的战略或建议，以加强对该地区的 L. relictus 或其他水鸟物种的保护。