SDMtoolbox: a python-based GIS toolkit for landscape genetic, biogeography, and species distribution model analyses

SDMtoolbox: a python-based GIS toolkit for landscape genetic, biogeography, and species distribution model analyses

1.Species distribution models (SDMs) are broadly used in ecological and evolutionary studies. Almost all SDM methods require extensive data preparation in a geographic information system (GIS) prior to model building. Often this step is cumbersome and if not properly done, can lead to poorly parameterized models or in some cases, if too difficult, prevents the realization of SDMs. Further, for many studies the creation of SDMs is not the final result and the post-modelling processing can be equally arduous as other steps.

2.SDMtoolbox is designed to facilitate many complicated pre- and post-processing steps commonly required for species distribution modelling and other geospatial analyses. SDMtoolbox consists of 59 Python script-based GIS tools developed and compiled into a single interface.

3.A large set of the tools were created to complement SDMs generated in Maxent or to improve the predictive performance of SDMs created in Maxent. However, SDMtoolbox is not limited to analyses of Maxent models and many tools are also available for additional analyses or general geospatial processing: e.g., assessing landscape connectivity of haplotype networks (using least-cost corridors or least cost-paths); correcting SDM over-prediction; quantifying distributional changes between current and future SDMs; or for calculating several biodiversity metrics, such as corrected weighted endemism.

4.SDMtoolbox is a free comprehensive python-based toolbox for macroecology, landscape genetic and evolutionary studies to be used in ArcGIS 10.1 (or higher) with the Spatial Analyst extension. The toolkit simplifies many GIS analyses required for species distribution modeling and other analyses, alleviating the need for repetitive and time consuming climate data pre-processing and post-SDM analyses.

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s