Effects of cost surface uncertainty on current density estimates from circuit theory Article Swipe
Jeff Bowman
,
Elizabeth A. Adey
,
Siow Yan Jennifer Angoh
,
Jennifer E. Baici
,
Michael G.C. Brown
,
Chad Cordes
,
Arthur E. Dupuis
,
Sasha L. Newar
,
Laura M. Scott
,
Kirsten Solmundson
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.7717/peerj.9617
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.7717/peerj.9617
Background Conservation practitioners are often interested in developing land use plans that increase landscape connectivity, which is defined as the degree to which the landscape facilitates or impedes movement among resource patches. Landscape connectivity is often estimated with a cost surface that indicates the varying costs experienced by an organism in moving across a landscape. True, or absolute costs are rarely known however, and therefore assigning costs to different landscape elements is often a challenge in creating cost surface maps. As such, we consider it important to understand the sensitivity of connectivity estimates to uncertainty in cost estimates. Methods We used simulated landscapes to test the sensitivity of current density estimates from circuit theory to varying relative cost values, fragmentation, and number of cost classes (i.e., thematic resolution). Current density is proportional to the probability of use during a random walk. Using Circuitscape software, we simulated electrical current between pairs of nodes to create current density maps. We then measured the correlation of the current density values across scenarios. Results In general, we found that cost values were highly correlated across scenarios with different cost weights (mean correlation ranged from 0.87 to 0.92). Changing the spatial configuration of landscape elements by varying the degree of fragmentation reduced correlation in current density across maps. We also found that correlations were more variable when the range of cost values in a map was high. Discussion The low sensitivity of current density estimates to relative cost weights suggests that the measure may be reliable for land use applications even when there is uncertainty about absolute cost values, provided that the user has the costs correctly ranked. This finding should facilitate the use of cost surfaces by conservation practitioners interested in estimating connectivity and planning linkages and corridors.
Related Topics
Concepts
Fragmentation (computing)
Current (fluid)
Thematic map
Sensitivity (control systems)
Range (aeronautics)
Landscape connectivity
Econometrics
Statistics
Computer science
Mathematics
Geography
Cartography
Geology
Materials science
Composite material
Demography
Engineering
Sociology
Electronic engineering
Biological dispersal
Operating system
Population
Oceanography
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.7717/peerj.9617
- https://peerj.com/articles/9617.pdf
- OA Status
- gold
- Cited By
- 26
- References
- 31
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3047203175
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W3047203175Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.7717/peerj.9617Digital Object Identifier
- Title
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Effects of cost surface uncertainty on current density estimates from circuit theoryWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-08-03Full publication date if available
- Authors
-
Jeff Bowman, Elizabeth A. Adey, Siow Yan Jennifer Angoh, Jennifer E. Baici, Michael G.C. Brown, Chad Cordes, Arthur E. Dupuis, Sasha L. Newar, Laura M. Scott, Kirsten SolmundsonList of authors in order
- Landing page
-
https://doi.org/10.7717/peerj.9617Publisher landing page
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https://peerj.com/articles/9617.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://peerj.com/articles/9617.pdfDirect OA link when available
- Concepts
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Fragmentation (computing), Current (fluid), Thematic map, Sensitivity (control systems), Range (aeronautics), Landscape connectivity, Econometrics, Statistics, Computer science, Mathematics, Geography, Cartography, Geology, Materials science, Composite material, Demography, Engineering, Sociology, Electronic engineering, Biological dispersal, Operating system, Population, OceanographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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26Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 3, 2023: 7, 2022: 4, 2021: 9Per-year citation counts (last 5 years)
- References (count)
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31Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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