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gflow: software for modelling circuit theory‐based connectivity at any scale
Abstract
Summary: Increasing habitat connectivity is important for mitigating the effects of climate change, landscape fragmentation and habitat loss for biodiversity conservation. However, modelling connectivity at the relevant scales over which these threats occur has been limited by computational requirements. Here, we introduce the open‐source software gflow, which massively parallelizes the computation of circuit theory‐based connectivity. The software is developed for high‐performance computing, but scales to consumer‐grade desktop computers running modern Linux or Mac OS X operating systems. We report high computational efficiency representing a 173× speedup over existing software using high‐performance computing and a 8·4× speedup using a desktop computer while drastically reducing memory requirements. gflow allows large‐extent and high‐resolution connectivity problems to be calculated over many iterations and at multiple scales. We envision gflow being immediately useful for large‐landscape efforts, including climate‐driven animal range shifts, multitaxa connectivity, and for the many developing use‐cases of circuit theory‐based connectivity.
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Leonard et al. built the gflow software by modifying Circuitscape so that it could run on high performance cluster computers, but this version is out of reach for many modelers.
“Leonard et al. [57] built the gflow software by modifying Circuitscape so that it could run on high performance cluster computers, but this version is out of reach for many modelers.”
From Circuitscape in julia: empowering dynamic approaches to connectivity assessment (2021) · cites this paper as [57]
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Circuit‐theory applications to connectivity science and conservation
Dickson, B. G., Albano, C. M., Anantharaman, R., Beier, P., Fargione, J., Graves, T. A., Gray, M. E., Hall, K. R., Lawler, J. J., Leonard, P. B., et al. (2019) · Conservation Biology · doi:10.1111/cobi.13230 · Cited by 461
Self-citationCircuitscape 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-citationComparison of methods for estimating omnidirectional landscape connectivity
Phillips, P., Clark, M. M., Baral, S., Koen, E. L., & Bowman, J. (2021) · Landscape Ecology · doi:10.1007/s10980-021-01254-2 · Cited by 62
Metadata
- Authors
- Leonard, P. B., Duffy, E. B., Baldwin, R. F., McRae, B. H., Shah, V. B., & Mohapatra, T. K.
- Affiliations
- Department of Forestry and Environmental Conservation Clemson University Clemson SC 29634 USA
- Cyberinfrastructure Technology Integration Group Clemson University Clemson SC 29634 USA
- The Nature Conservancy Fort Collins CO 80523 USA
- Julia Computing, Inc. Bengaluru 560034 India
- Venue
- Methods in Ecology and Evolution
- Publisher
- Wiley
- Published
- 2016-11-18
- Volume
- 8
- Issue
- 4
- Pages
- 519-526
- ISSN
- 2041-210X
- Cited by
- 77
- References
- 6
- Language
- en
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