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EXAMINING SPATIAL DISTRIBUTION OF CROW SPECIES BY COMBINING ARCMAP MAXENT MODEL

机译:结合ARCMAP和MAXENT模型检查乌鸦物种的空间分布。

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Species spatial database and mapping can be an excellent management tool for predicting patterns of biological diversity and for monitoring species spatial distribution, or even identifying geographical locations of conservation significance. This type of database and mapping can also increase our understanding of the appropriateness of habitat areas for individual species by using various GIS applications that enable us to predict problems related to the living, existence and biological diversity of certain species. This will help us take appropriate decisions in order to solve such problems and preserve the natural environment. This study focuses on examining spatial distribution of the crow species, specifically (House crow) in the Sultanate of Oman by using ArcMap & Maxent model. The current simple datasets of crow location will be examined and accompanied with the following two sets of variables: (1) environmental variables such as temperature, slope, height, natural vegetation etc., and (2) human variables such as distance to road, and settlements and change of landuse over time, etc. The final output of the possible spatial distribution of the crow bird in Oman will be presented as a new layer that will show perfect consistency between actual datasets of crow location and the prediction and distribution of the crow in the entire study area.
机译:物种空间数据库和制图可以成为预测生物多样性模式和监测物种空间分布,甚至确定具有保护意义的地理位置的绝佳管理工具。这种类型的数据库和地图还可以通过使用各种GIS应用程序来增加我们对单个物种的栖息地适当性的理解,这使我们能够预测与某些物种的生存,存在和生物多样性有关的问题。这将有助于我们做出适当的决定,以解决此类问题并保护自然环境。这项研究的重点是使用ArcMap和Maxent模型检查阿曼苏丹国乌鸦物种(特别是家鸦)的空间分布。我们将检查当前简单的乌鸦位置数据集,并提供以下两组变量:(1)环境变量,例如温度,坡度,高度,自然植被等;以及(2)人为变量,例如与道路的距离,阿曼乌鸦鸟可能的空间分布的最终输出将作为一个新的层显示,该新层将显示乌鸦位置的实际数据集与乌鸦鸟的预测和分布之间的完美一致性。乌鸦遍布整个研究区域。

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