Circuitscape in julia: empowering dynamic approaches to connectivity assessment
Open accessAbstract
The conservation field is experiencing a rapid increase in the amount, variety, and quality of spatial data that can help us understand species movement and landscape connectivity patterns. As interest grows in more dynamic representations of movement potential, modelers are often limited by the capacity of their analytic tools to handle these datasets. Technology developments in software and high-performance computing are rapidly emerging in many fields, but uptake within conservation may lag, as our tools or our choice of computing language can constrain our ability to keep pace. We recently updated Circuitscape, a widely used connectivity analysis tool developed by Brad McRae and Viral Shah, by implementing it in Julia, a high-performance computing language. In this initial re-code (Circuitscape 5.0) and later updates, we improved computational efficiency and parallelism, achieving major speed improvements, and enabling assessments across larger extents or with higher resolution data. Here, we reflect on the benefits to conservation of strengthening collaborations with computer scientists, and extract examples from a collection of 572 Circuitscape applications to illustrate how through a decade of repeated investment in the software, applications have been many, varied, and increasingly dynamic. Beyond empowering continued innovations in dynamic connectivity, we expect that faster run times will play an important role in facilitating co-production of connectivity assessments with stakeholders, increasing the likelihood that connectivity science will be incorporated in land use decisions.
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Mapping livestock movements in Sahelian Africa
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Conservation in a changing world needs predictive models
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Mapping landscape connectivity for large spatial extents
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EcologicalNetworks.jl: analysing ecological networks of species interactions
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Forest Connectivity Regions of Canada Using Circuit Theory and Image Analysis
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Heterogeneous Matrix Habitat Drives Species Occurrences in Complex, Fragmented Landscapes
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An adaptive method for identifying marine areas of high conservation priority
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Single-Species and Multiple-Species Connectivity Models for Large Mammals on the Navajo Nation
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A decision-support tool to prioritize candidate landscapes for lesser prairie-chicken conservation
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A tribute to a true conservation innovator, Brad McRae, 1966-2017
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Flagged first, then by citations
Research works printed but not linked: 3
- Hilty, J.A., Keeley, A.T.H., Lidicker, W.Z., and Merenlender, A.M. (2019). Corridor Ecology: Linking Landscapes for Biodiversity Conservation and Climate Adaptation, Island Press. [2nd ed.].
- Shah, V., and McRae, B.H. (2008, January 19–24). Circuitscape: A Tool for Landcape Ecology. Proceedings of the 7th Python in Science Conference (SciPy 2008), Pasadena, CA, USA. Available online: http://conference.scipy.org/proceedings/scipy2008/SciPy2008_proceedings.pdf.
- McRae, B., and Shah, V.B. (2020, October 30). Circuitscape User Guide. Version 3.5, Updated December 2011. Available online: https://www.researchgate.net/publication/265494222_Circuitscape_User_Guide.
Cited by
Sorted by citations
Kelly, D. R., Clark, M. M., Palace, M., & Howey, M. C. L. (2023) · Journal of Archaeological Science · doi:10.1016/j.jas.2022.105710 · Cited by 9 · see citing works
Self-citation
- Authors
- Hall, K. R., Anantharaman, R., Landau, V. A., Clark, M., Dickson, B. G., Jones, A., Platt, J., Edelman, A., & Shah, V. B.
- Affiliations
- North America Science, The Nature Conservancy, Haslett, MI 48840, USA
- Massachusetts Institute of Technology (US)
- Conservation Science Partners (US)
- Center for Resilience Science, The Nature Conservancy, Boston, MA 02111, USA
- Conservation Science Partners, Inc., Truckee, CA 96161, USA
- The Nature Conservancy (US)
- North America Science, The Nature Conservancy, Minneapolis, MN 55124, USA
- MIT Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Julia Computing, Inc., Cambridge, MA 02139, USA
- Venue
- Land
- Publisher
- MDPI AG
- Published
- 2021-03-15
- Volume
- 10
- Issue
- 3
- Pages
- 301
- ISSN
- 2073-445X (ISSN-L)
- OpenAlex
- W3137042498
- Cited by
- 115
- References
- 191
- Citations by year
- 2026: 20 · 2025: 28 · 2024: 22 · 2023: 26 · 2022: 13 · 2021: 6
- FWCI
- 8.92
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Land (publishedVersion, cc-by)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Aeronautics and Space Administration (16-ECOCAST-0018)
- Topics
- Physical Sciences › Environmental Science › Ecology › Wildlife-Road Interactions and Conservation
- Physical Sciences › Environmental Science › Ecological Modeling › Species Distribution and Climate Change
- Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
- Keywords
- Circuitscape, Julia, landscape connectivity, dynamic connectivity, species movement, computational efficiency, parallel computing, high-performance computing, stakeholder co-production, land use decision-making
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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