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Understanding the Importance of Dynamic Landscape Connectivity

Author

Listed:
  • Katherine A. Zeller

    (Aldo Leopold Wilderness Research Institute, Rocky Mountain Research Station, United States Forest Service, 790 East Beckwith Ave, Missoula, MT 59801, USA)

  • Rebecca Lewison

    (Department of Biology, San Diego State University, San Diego, CA 92182, USA)

  • Robert J. Fletcher

    (Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL 32611, USA)

  • Mirela G. Tulbure

    (Center for Geospatial Analytics, North Carolina State University, Raleigh, NC 27695, USA)

  • Megan K. Jennings

    (Department of Biology, San Diego State University, San Diego, CA 92182, USA)

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.

Suggested Citation

  • Katherine A. Zeller & Rebecca Lewison & Robert J. Fletcher & Mirela G. Tulbure & Megan K. Jennings, 2020. "Understanding the Importance of Dynamic Landscape Connectivity," Land, MDPI, vol. 9(9), pages 1-15, August.
    • Handle: RePEc:gam:jlands:v:9:y:2020:i:9:p:303-:d:405840
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    References listed on IDEAS

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    Cited by:

    1. Kimberly R. Hall & Ranjan Anantharaman & Vincent A. Landau & Melissa Clark & Brett G. Dickson & Aaron Jones & Jim Platt & Alan Edelman & Viral B. Shah, 2021. "Circuitscape in Julia: Empowering Dynamic Approaches to Connectivity Assessment," Land, MDPI, vol. 10(3), pages 1-24, March.
    2. Simone Valeri & Laura Zavattero & Giulia Capotorti, 2021. "Ecological Connectivity in Agricultural Green Infrastructure: Suggested Criteria for Fine Scale Assessment and Planning," Land, MDPI, vol. 10(8), pages 1-16, July.
    3. Manuel Sánchez-Fernández & Juan Miguel Barrigón Morillas & David Montes González & José Juan de Sanjosé Blasco, 2022. "Impact of Roads on Environmental Protected Areas: Analysis and Comparison of Metrics for Assessing Habitat Fragmentation," Land, MDPI, vol. 11(10), pages 1-20, October.
    4. Xiang Feng & Qian Peng & Yunnan Chen & Weiyue Li, 2022. "A Case Study of the Snow Leopard in Sanjiangyuan National Park Boundaries regarding Park Boundary Divergence," Land, MDPI, vol. 11(6), pages 1-15, May.
    5. Drielsma, Michael J. & Love, Jamie & Taylor, Subhashni & Thapa, Rajesh & Williams, Kristen J., 2022. "General Landscape Connectivity Model (GLCM): a new way to map whole of landscape biodiversity functional connectivity for operational planning and reporting," Ecological Modelling, Elsevier, vol. 465(C).
    6. Anastasia Nikologianni & Alessandro Betta & Alessandro Gretter, 2022. "Contribution of Conceptual-Drawing Methods to Raise Awareness on Landscape Connectivity: Socio-Environmental Analysis in the Regional Context of Trentino (Italy)," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    7. Megan K. Jennings & Katherine A. Zeller & Rebecca L. Lewison, 2021. "Dynamic Landscape Connectivity Special Issue Editorial," Land, MDPI, vol. 10(6), pages 1-2, May.
    8. Gao, Jing & Gong, Jian & Li, Yao & Yang, Jianxin & Liang, Xun, 2024. "Ecological network assessment in dynamic landscapes: Multi-scenario simulation and conservation priority analysis," Land Use Policy, Elsevier, vol. 139(C).
    9. Pashanejad, Ehsan & Kharrazi, Ali & Araujo-Gutierrez, Zuelclady M.F. & Robinson, Brian E. & Fath, Brian D. & Parrott, Lael, 2024. "A functional connectivity approach for exploring interactions of multiple ecosystem services in the context of agricultural landscapes in the Canadian prairies," Ecosystem Services, Elsevier, vol. 68(C).
    10. Cocco, Valentin & Kervinio, Yann & Mouysset, Lauriane, 2023. "Relaxing the production-conservation trade-off: Biodiversity spillover in the bioeconomic performance of ecological networks," Ecological Economics, Elsevier, vol. 214(C).
    11. Erin K. Buchholtz & Michael S. O’Donnell & Julie A. Heinrichs & Cameron L. Aldridge, 2023. "Temporal Patterns of Structural Sagebrush Connectivity from 1985 to 2020," Land, MDPI, vol. 12(6), pages 1-13, June.
    12. I. Wayan Susi Dharmawan & Nur Muhammad Heriyanto & Titiek Setyawati & Marfuah Wardani & Adi Susilo & Raden Garsetiasih & Reny Sawitri & Denny & Vivi Yuskianti & Endang Karlina & Mariana Takandjandji &, 2023. "The Vegetation Composition and Carbon Stock of Old Shrub Typology to Support the Rehabilitation Program in Sumatra and Kalimantan Islands, Indonesia," Sustainability, MDPI, vol. 15(2), pages 1-14, January.
    13. Kunegel-Lion, Mélodie & Neilson, Eric W. & Mansuy, Nicolas & Goodsman, Devin W., 2022. "Habitat quality does not predict animal population abundance on frequently disturbed landscapes," Ecological Modelling, Elsevier, vol. 469(C).

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