- Title
- An overview of computational tools for preparing, constructing and using resistance surfaces in connectivity research
- Creator
- Dutta, Trishna; Sharma, Sandeep; Meyer, Ninon F. V.; Larroque, Jeremy; Balkenhol, Niko
- Relation
- Landscape Ecology Vol. 37, Issue 9, p. 2195-2224
- Publisher Link
- http://dx.doi.org/10.1007/s10980-022-01469-x
- Publisher
- Springer
- Resource Type
- journal article
- Date
- 2022
- Description
- Context: Connectivity between habitat patches is a recognized conservation action to conserve biodiversity in a rapidly changing world. Resistance surfaces, a spatial representation of cost of movement across the landscape, are often the foundation for connectivity analyses but working with them can be daunting due to the diversity and complexity of software tools. Objectives: We present an overview of the steps involved when working with resistance surfaces, identify tools that perform specific tasks, evaluate user experience with the tools, identify needs of the user community, and present some recommendations for users and developers. Methods: We identified tools applicable at each of the three steps (i) preparing data, (ii) constructing and optimizing surfaces, and (iii) using resistance surfaces. We conducted an online survey of the connectivity user community to assess the popularity and experience with tools on five criteria and identified characteristics important in the selection of connectivity tools. Results: We reviewed a total of 43 tools, of which 10 are useful for data preparation, 27 allow construction, and 30 tools that use resistance surfaces. A total of 148 survey participants working in 40 countries were familiar with 37 tools. Tools are ranked heterogeneously for the five criteria. Crucial avenues for future development of connectivity tools identified by respondents are incorporation of uncertainties, dynamic connectivity modelling, and automated parameter optimization. Conclusions: Since resistance surfaces are used for a variety of applications, it is important that users are aware about the appropriate tools. We anticipate that future tools for connectivity research will incorporate more complex and biologically more realistic analytical approaches.
- Subject
- circuit theory; cost surface; landscape connectivity; landscape resistance; least-cost path; movement ecology; SDG 15; Sustainable Development Goals
- Identifier
- http://hdl.handle.net/1959.13/1499714
- Identifier
- uon:54777
- Identifier
- ISSN:0921-2973
- Rights
- This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
- Language
- eng
- Full Text
- Reviewed
- Hits: 533
- Visitors: 559
- Downloads: 27
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | ATTACHMENT02 | Publisher version (open access) | 13 MB | Adobe Acrobat PDF | View Details Download |