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首页> 外文期刊>Ecological Modelling >Assessment of a novel data driven habitat suitability ranking approach for Larus relictus specie using remote sensing and GIS
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Assessment of a novel data driven habitat suitability ranking approach for Larus relictus specie using remote sensing and GIS

机译:利用遥感和GIS评估新型数据驱动栖息地适用于Larus Relictus Specie的数据驱动栖息地排名方法

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摘要

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 eco-system to enhance the protection of L. relictus or other waterbird species in the region.
机译:本研究涉及一种新的数据驱动栖息地适用性等级方法,用于识别和预测雷斯拉鲁斯群岛植物自然保护区(ELRNNR)的雄鹿群签名水鸟特定的鉴定和预测。采用GIS提出了这种方法,纳入了用作遥感(RS)信息的易用环境参数(NDVI,NDWI,斜坡,DEM,土地使用,NDBI)和使用的威胁因素(道路网络,开发建筑物和植被)作为允许美国的矢量信息,定量地描述L. Relictus的栖息地适合性。在使用ArcGIS结合到Thiessen多边形之前,RS和Vector信息在统计学上分析和排序,以产生使用传统栖息地适用性模型(重量)验证的最终栖息地适用性输出。对评估每个参数的贡献来评估这种方法的敏感性分析表明,威胁因素(矢量数据集)是最重要的因素。还透露,与HSM相比,这种方法显示了一些统计关系,表明大多数区域中的类似预测具体的高和低合适的区域。从结果中,预计大约8%的研究区域是非常适合该物种,其中大部分物种位于该地区的湖边。由于这些地区的威胁因素的显着高密度,南部和西北地区的南部和西北地区被证明是不合适的。与其他决策模型相比,这种方法具有一些独特的品质,如灵活性和自主权,使其用户在必要时提供重量应用和依赖专家意见的选择。它还预计支持保护主义和资源管理人员正在制定可持续管理生态系统的战略或建议,以加强该地区L. Relictus或其他水鸟物种的保护。

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