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Understanding the Importance of Dynamic Landscape Connectivity
Abstract
Landscape connectivity is increasingly promoted as a conservation tool to combat the negative effects of habitat loss, fragmentation, and climate change. Given its importance as a key conservation strategy, connectivity science is a rapidly growing discipline. However, most landscape connectivity models consider connectivity for only a single snapshot in time, despite the widespread recognition that landscapes and ecological processes are dynamic. In this paper, we discuss the emergence of dynamic connectivity and the importance of including dynamism in connectivity models and assessments. We outline dynamic processes for both structural and functional connectivity at multiple spatiotemporal scales and provide examples of modeling approaches at each of these scales. We highlight the unique challenges that accompany the adoption of dynamic connectivity for conservation management and planning in the context of traditional conservation prioritization approaches. With the increased availability of time series and species movement data, computational capacity, and an expanding number of empirical examples in the literature, incorporating dynamic processes into connectivity models is more feasible than ever. Here, we articulate how dynamism is an intrinsic component of connectivity and integral to the future of connectivity science.
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Recent work in connectivity modelling, such as dynamic landscape connectivity, has developed in response to spatiotemporal limitations of resistance surfaces.
“Recent work in connectivity modelling, such as dynamic landscape connectivity46, has developed in response to these spatiotemporal limitations of resistance surfaces.”
From Connectivity modelling in conservation science: a comparative evaluation (2022) · cites this paper as [46]
Moving the field of connectivity science toward dynamic assessments has been identified as an important research priority.
“Moving the field of connectivity science toward dynamic assessments has been identified as an important research priority, a goal that motivated this Special Issue [27][28][29][30].”
From Circuitscape in julia: empowering dynamic approaches to connectivity assessment (2021) · cites this paper as [30]
Dynamic connectivity research has the power to produce models of the big landscape ecology questions of our time: habitat loss, fragmentation, and climate change.
“Dynamic connectivity research has the power to produce models of the big landscape ecology questions of our time: habitat loss, fragmentation, and climate change [30].”
From Circuitscape in julia: empowering dynamic approaches to connectivity assessment (2021) · cites this paper as [30]
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Habitat fragmentation and its lasting impact on Earth’s ecosystems
Haddad, N. M., Brudvig, L. A., Clobert, J., Davies, K. F., Gonzalez, A., Holt, R. D., Lovejoy, T. E., Sexton, J. O., Austin, M. P., Collins, C. D., et al. (2015) · Science Advances · doi:10.1126/sciadv.1500052 · Cited by 4,773
Ceballos, G., Ehrlich, P. R., & Dirzo, R. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1704949114 · Cited by 2,663
Larval Dispersal and Marine Population Connectivity
Cowen, R. K., & Sponaugle, S. (2009) · Annual Review of Marine Science · doi:10.1146/annurev.marine.010908.163757 · Cited by 2,077
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Cited by
Sorted by citations
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
Connectivity modelling in conservation science: a comparative evaluation
Unnithan Kumar, S., & Cushman, S. A. (2022) · Scientific Reports · doi:10.1038/s41598-022-20370-w · Cited by 83
Metadata
- Authors
- Zeller, K., Lewison, R., Fletcher, R., Tulbure, M., & Jennings, M.
- Affiliations
- Aldo Leopold Wilderness Research Institute, Rocky Mountain Research Station, United States Forest Service, 790 East Beckwith Ave, Missoula, MT 59801, USA
- Department of Biology, San Diego State University, San Diego, CA 92182, USA
- Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL 32611, USA
- Center for Geospatial Analytics, North Carolina State University, Raleigh, NC 27695, USA
- Venue
- Land
- Publisher
- MDPI AG
- Published
- 2020-08-29
- Volume
- 9
- Issue
- 9
- Pages
- 303
- ISSN
- 2073-445X
- Cited by
- 96
- References
- 3
- Language
- en
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