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Meeting Human and Biodiversity Needs for 30 × 30 and beyond with an Iterative Land Allocation Framework and Tool

Author

Listed:
  • John A. Gallo

    (Botany Department, Nelson Mandela University, Gqeberha (Port Elizabeth), Eastern Cape 6031, South Africa
    Conservation Biology Institute, Corvallis, OR 97333, USA)

  • Amanda T. Lombard

    (Botany Department, Nelson Mandela University, Gqeberha (Port Elizabeth), Eastern Cape 6031, South Africa)

  • Richard M. Cowling

    (Botany Department, Nelson Mandela University, Gqeberha (Port Elizabeth), Eastern Cape 6031, South Africa)

  • Randal Greene

    (Feaver’s Lane Enterprises Inc., St. John’s, NL A1C1T6, Canada)

  • Frank W. Davis

    (Bren School, UC Santa Barbara, Santa Barbara, CA 93117, USA)

Abstract

Spatial conservation prioritization does not necessarily lead to effective conservation plans, and good plans do not necessarily lead to action. These “science-action” gaps are pernicious and need to be narrowed, especially if the international goal of conserving 30% of the planet by 2030 is to be realized. We present the Earthwise Framework, a flexible and customizable spatial decision support system (SDSS) architecture and social process to address the challenges of these science-action gaps. Utilizing case study experience from regions within California, South Africa, and British Columbia, we outline the framework and provide the Little Karoo, South Africa SDSS data, code and results to illustrate five design strategies of the framework. The first is to employ an “open science” strategy for collaborative conservation planning and action. Another is that marginal value functions allow for the continuous accounting of element (e.g., habitat) representation in prioritization algorithms, allowing for an SDSS that is more automated and saves valuable time for stakeholders and scientists. Thirdly, we program connectivity modeling integrated within the SDSS, with an algorithm that not only automatically calculates all the least cost corridors of a region, but prioritizes among them and removes the ones that do not make ecological sense. Fourth, we highlight innovations in multi-criteria decision analysis that allow for both cost-efficient plan development, like representative solution sets, but also land-use planning requirements, like site specific valuation, in what appears to be a more transparent, understandable, and usable manner than traditional approaches. Finally, strategic attention to communicating uncertainty is also advocated. The Earthwise Framework is an open science endeavor that can be implemented via a variety of software tools and languages, has several frontiers for further research and development, and shows promise in finding a better way to meet the needs of both humans and biodiversity.

Suggested Citation

  • John A. Gallo & Amanda T. Lombard & Richard M. Cowling & Randal Greene & Frank W. Davis, 2023. "Meeting Human and Biodiversity Needs for 30 × 30 and beyond with an Iterative Land Allocation Framework and Tool," Land, MDPI, vol. 12(1), pages 1-29, January.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:1:p:254-:d:1036136
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    References listed on IDEAS

    as
    1. Jean-David Gerber & Adena R Rissman, 2012. "Land-Conservation Strategies: The Dynamic Relationship between Acquisition and Land-Use Planning," Environment and Planning A, , vol. 44(8), pages 1836-1855, August.
    2. Kerrie A Wilson, 2007. "Conserving Biodiversity Efficiently: What to Do, Where, and When," Working Papers id:1202, eSocialSciences.
    3. John A. Gallo & Gregory H. Aplet & Randal Greene & Janice L. Thomson & Amanda T. Lombard, 2020. "A Transparent and Intuitive Modeling Framework and Software for Efficient Land Allocation," Land, MDPI, vol. 9(11), pages 1-29, November.
    4. C. R. Margules & R. L. Pressey, 2000. "Systematic conservation planning," Nature, Nature, vol. 405(6783), pages 243-253, May.
    5. Kerrie A Wilson & Emma C Underwood & Scott A Morrison & Kirk R Klausmeyer & William W Murdoch & Belinda Reyers & Grant Wardell-Johnson & Pablo A Marquet & Phil W Rundel & Marissa F McBride & Robert L , 2007. "Conserving Biodiversity Efficiently: What to Do, Where, and When," PLOS Biology, Public Library of Science, vol. 5(9), pages 1-12, August.
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    Cited by:

    1. Andreas Tolk & Jennifer A. Richkus & F. LeRon Shults & Wesley J. Wildman, 2023. "Computational Decision Support for Socio-Technical Awareness of Land-Use Planning under Complexity—A Dam Resilience Planning Case Study," Land, MDPI, vol. 12(5), pages 1-20, April.

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