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A range‐wide model of contemporary, omnidirectional connectivity for the threatened Mojave desert tortoise
Abstract
As habitat destruction leads to species extinctions globally, conservation planning that accounts for population‐level connectivity and gene flow is an urgent priority. Models that only approximate habitat potential are incomplete because areas of high habitat potential may be isolated, whereas intermixed areas of lower habitat potential may still be critical for maintaining connectivity between and among populations. We developed a range‐wide, omnidirectional (coreless) connectivity model and map for the threatened Mojave desert tortoise at a high spatial resolution (30 m), based on empirical movement data and a circuit‐theoretic approach to estimating connectivity. Specifically, we first estimated habitat potential (i.e., quality) for tortoise movement (as distinct from habitat potential more generally) across its range using hypotheses based on the published literature, linear mixed models, multiple environmental factors derived from remotely sensed data, and recent solar and wind development footprints. The resultant raster output was used to represent landscape conductance in a circuit‐theoretic model of connectivity, which relates the flow of electrical current through a circuit to the movement of tortoises through the landscape. We then modeled potential connectivity across the range of the tortoise using Circuitscape software and the Julia numerical programming language. Intermediate distances from minor roads, intermediate values of annual average maximum temperature, and increasing density of desert washes were among the strongest predictors of movement habitat quality. There was also strong evidence for increased habitat quality for movement with increasing amounts of vegetation cover. The resulting connectivity model and map was determined to accurately reflect important areas for tortoise movement, but we encourage others to do their own evaluation of the model within local areas of interest and as more data become available. Accordingly, the map can provide an important component to improve management decisions that have the potential to influence the conservation of connected desert tortoise populations throughout the range.
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A dataset studying the Mojave desert tortoise used a resistance surface of 437 million pixels.
“One such dataset studying the Mojave desert tortoise [Gray and Chang, 2019] used a resistance surface of 437 million pixels.”
From Circuitscape in Julia: High Performance Connectivity Modelling to Support Conservation Decisions (2020) · cites this paper as Gray and Chang, 2019
A number of studies have pursued 'wall-to-wall' or 'omnidirectional' applications of Circuitscape.
“To find additional efficiency in computation time, and also address other modeling goals or bias issues, a number of studies have pursued 'wall-to-wall' or 'omnidirectional' applications of Circuitscape ( [47,50,73,178,179]).”
From Circuitscape in julia: empowering dynamic approaches to connectivity assessment (2021) · cites this paper as [179]
The largest problem a user has solved with Circuitscape.jl to date was 437 million pixels, representing the full range (roughly 13 million ha) of the threatened Mojave desert tortoise at 30-m resolution.
“To our knowledge, the largest problem a user has solved with Circuitscape.jl to date was 437 million pixels, representing the full range (roughly 13 million ha) of the threatened Mojave desert tortoise at 30-m resolution [179].”
From Circuitscape in julia: empowering dynamic approaches to connectivity assessment (2021) · cites this paper as [179]
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USING CIRCUIT THEORY TO MODEL CONNECTIVITY IN ECOLOGY, EVOLUTION, AND CONSERVATION
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Circuitscape in Julia: High Performance Connectivity Modelling to Support Conservation Decisions
(2020) · JuliaCon Proceedings · doi:10.21105/jcon.00058 · Cited by 163
Circuitscape in julia: empowering dynamic approaches to connectivity assessment
Hall, K. R., Anantharaman, R., Landau, V. A., Clark, M., Dickson, B. G., Jones, A., Platt, J., Edelman, A., & Shah, V. B. (2021) · Land · doi:10.3390/land10030301 · Cited by 115
Self-citation
Metadata
- Authors
- Gray, M. E., Dickson, B. G., Nussear, K. E., Esque, T. C., & Chang, T.
- Affiliations
- Conservation Science Partners 11050 Pioneer Trail, Suite 202 Truckee California 96161 USA
- Department of Geography University of Nevada‐Reno Mackay Science Building Reno Nevada 89512 USA
- Las Vegas Field Station Western Ecological Research Center U.S. Geological Survey 160 North Stephanie Street Henderson Nevada 89074 USA
- Venue
- Ecosphere
- Publisher
- Wiley
- Published
- 2019-09
- Volume
- 10
- Issue
- 9
- ISSN
- 2150-8925
- Cited by
- 20
- References
- 3
- Language
- en
- Funders
- U.S. Bureau of Land Management
- National Fish and Wildlife Foundation
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