Modeling connectivity or corridors in the landscape can be a daunting task. It’s one thing to know that connectivity is an important landscape feature, but something else to start with a map or data and create a useful product that can be applied toward conservation or management goals. Fortunately, there are many tools that can help, regardless of the user’s skill level.
Hesselbarth, M.H., Nowosad, J., Signer, J. and Graham, L.J. 2021. Open-source tools in R for landscape ecology. Current Landscape Ecology Reports 6: 97-111.
One place to start is with Conservation Corridor’s Program and Tools summary, which provides links to numerous software programs and useful guidelines. Some of these require more data or technical knowledge, while others assume little to no experience from the user. Examples include Circuitscape, FRAGSTATS, Zonation, Conefor, UNICOR, and many others. In addition, there are several Technical Guides that provide step-by-step instructions on how to use these tools to create a meaningful result.
For those who use the R programming language, there are hundreds of packages that can be used to explore landscape metrics and mapping. A comprehensive review of available, open-source packages summarizes many of these options and their uses, along with providing guidelines for where to start. A wide diversity of tasks can be completed in R, including creating detailed maps and visuals, calculating spatial statistics, running species distribution models, and exploring measures of connectivity and landscape genetics. An accompanying survey of R users highlights the variety of packages that many people use, and how useful they are for achieving flexibility and depth in analysis. The regular development of new packages means that there is always some tool available to meet the challenge of connecting landscapes.
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