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Introducing BioSARN – an ecological niche model refinement tool

机译:引入BioSARN –生态位模型优化工具

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摘要

Environmental niche modeling outputs a biological species' potential distribution. Further work is needed to arrive at a species' realized distribution. The Biological Species Approximate Realized Niche (BioSARN) application provides the ecological modeler with a toolset to refine Environmental niche models (ENMs). These tools include soil and land class filtering, niche area quantification and novelties like enhanced temporal corridor definition, and output to a high spatial resolution land class model. BioSARN is exemplified with a study on Fraser fir, a tree species with strong land class and edaphic correlations. Soil and land class filtering caused the potential distribution area to decline 17%. Enhanced temporal corridor definition permitted distinction of current, continuing, and future niches, and thus niche change and movement. Tile quantification analysis provided further corroboration of these trends. BioSARN does not substitute other established ENM methods. Rather, it allows the experimenter to work with their preferred ENM, refining it using their knowledge and experience. Output from lower spatial resolution ENMs to a high spatial resolution land class model is a pseudo high‐resolution result. Still, it maybe the best that can be achieved until wide range high spatial resolution environmental data and accurate high precision species occurrence data become generally available.
机译:环境生态位建模输出了生物物种的潜在分布。需要做进一步的工作才能得出一个物种的实际分布。生物物种近似已实现生态位(BioSARN)应用程序为生态建模师提供了一个工具集,可用于完善环境生态位模型(ENM)。这些工具包括土壤和土地类别过滤,生态位区域量化和新颖性(如增强的时间走廊定义),以及输出到高分辨率的土地类别模型。 BioSARN的一项研究是对Fraser fir的一项研究,Fraser fir是具有强土地类别和深层相关性的树种。土壤和土地类别过滤导致潜在分布面积下降了17%。增强的时间走廊定义允许区分当前,持续和将来的利基,从而利基变化和移动。瓷砖定量分析进一步证实了这些趋势。 BioSARN不能替代其他已建立的ENM方法。相反,它允许实验者使用他们喜欢的ENM,并利用他们的知识和经验对其进行完善。从较低空间分辨率的ENM到高空间分辨率的土地类别模型的输出是伪高分辨率结果。仍然可能是最好的方法,直到大范围的高空间分辨率环境数据和准确的高精度物种发生数据普遍可用为止。

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