SDMtoolbox 2.0: the next generation Python-based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses.

SDMtoolbox 2.0: the next generation Python-based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses.
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DOI:
10.7717/peerj.4095
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发表时间:
2017
期刊:
影响因子:
2.7
通讯作者:
French CM
French CM
中科院分区:
生物学3区
文献类型:
--
作者:
Brown JL;Bennett JR;French CM

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SDMtoolbox 2.0是一个用于生态学、进化和遗传学空间研究的软件包。SDMtoolbox 2.0的发布允许研究人员使用最新的ArcGIS软件和MaxEnt软件,并减少了开发通用解决方案所花费的时间。该软件的主要目的是在直观的图形用户界面中自动进行复杂和重复的空间分析。一个核心租户有利于物种分布模型(SDM)的仔细参数化,以最大限度地提高每个模型的判别能力,并尽量减少过度拟合。这包括仔细处理事件数据、环境数据和模型参数化。该程序直接与MaxEnt接口,MaxEnt是最强大和最广泛使用的物种分布建模软件程序之一,尽管SDMtoolbox 2.0不限于物种分布建模或仅限于MaxEnt中的建模。许多SDM预处理和后处理工具都具有“通用”类似物,可与任何建模软件一起使用。当前版本包含79个脚本,利用ArcGIS的强大功能进行宏观生态学,景观遗传学和进化研究。例如,这些工具允许生物多样性量化(如物种丰富度或校正加权特有性),生成共享单倍型之间的最低成本路径和走廊,评估空间随机化的重要性,并执行预测到未来气候的空间数据模型的扩散限制-仅举几个例子包含在空间数据模型工具箱2.0中的功能。最后,有几十种通用工具可用于批处理和转换GIS数据类型或格式,这些工具对任何ArcMap用户都非常有用。
SDMtoolbox 2.0 is a software package for spatial studies of ecology, evolution, and genetics. The release of SDMtoolbox 2.0 allows researchers to use the most current ArcGIS software and MaxEnt software, and reduces the amount of time that would be spent developing common solutions. The central aim of this software is to automate complicated and repetitive spatial analyses in an intuitive graphical user interface. One core tenant facilitates careful parameterization of species distribution models (SDMs) to maximize each model’s discriminatory ability and minimize overfitting. This includes carefully processing of occurrence data, environmental data, and model parameterization. This program directly interfaces with MaxEnt, one of the most powerful and widely used species distribution modeling software programs, although SDMtoolbox 2.0 is not limited to species distribution modeling or restricted to modeling in MaxEnt. Many of the SDM pre- and post-processing tools have ‘universal’ analogs for use with any modeling software. The current version contains a total of 79 scripts that harness the power of ArcGIS for macroecology, landscape genetics, and evolutionary studies. For example, these tools allow for biodiversity quantification (such as species richness or corrected weighted endemism), generation of least-cost paths and corridors among shared haplotypes, assessment of the significance of spatial randomizations, and enforcement of dispersal limitations of SDMs projected into future climates—to only name a few functions contained in SDMtoolbox 2.0. Lastly, dozens of generalized tools exists for batch processing and conversion of GIS data types or formats, which are broadly useful to any ArcMap user.
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