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首页> 外文期刊>International Journal of Geographical Information Science >Delineating generalized species boundaries from species distribution data and a species distribution model
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Delineating generalized species boundaries from species distribution data and a species distribution model

机译:从物种分布数据和物种分布模型描绘广义物种边界

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摘要

Species distribution models (SDM) are commonly used to provide information about species ranges or extents, and often are intended to represent the entire area of potential occupancy or suitable habitat in which individuals occur. While SDMs can provide results over various geographic extents, they normally operate within a grid and cannot delimit distinct, smooth boundaries. Additionally, there are instances where a zone of primary occupancy (i.e., a mostly continuous region where species exists, excluding outliers) is better suited for particular analyses, such as when examining source/sink population dynamics or modeling movement into new habitats. We present a semi-automated method to delineate a generalized species boundary (GSB) from SDM output, which provides a practical alternative to digitizing. This preliminary boundary is then manually updated based on inventory data and historical ranges. We used the method to generate contemporary boundaries for 132 tree species of the eastern United States, which are complementary to the ranges generated by Elbert Little for North America during the 1970s, but are not replacements. The methods we present can broadly be applied to other grid-based SDM to generate GSBs.
机译:物种分布模型(SDM)通常用于提供有关物种范围或程度的信息,并且通常旨在表示个体可能居住的整个区域或合适的栖息地。尽管SDM可以在不同的地理范围内提供结果,但它们通常在网格内运行,并且不能划定清晰,平滑的边界。此外,在某些情况下,主要居住区(即存在物种的几乎连续的区域,不包括异常值)更适合特定分析,例如在检查源/汇种群动态或模拟向新栖息地的运动时。我们提出了一种从SDM输出中划定广义物种边界(GSB)的半自动方法,这为数字化提供了一种实用的替代方法。然后根据库存数据和历史范围手动更新此初步边界。我们使用该方法为美国东部的132种树种生成了现代边界,这与Elbert Little在1970年代为北美生成的范围互补,但不是替代树。我们提出的方法可以广泛地应用于其他基于网格的SDM来生成GSB。

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