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  3. Multiple-use Spatial Planning For Sustainable Development And Conservation.
  1. Home
  3. Multiple-use Spatial Planning For Sustainable Development And Conservation.

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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Multiple-use spatial planning for sustainable development and conservation.

Sandra Neubert1, Jennifer McGowan2, Kristian Metcalfe3

  • 1School of the Environment, The University of Queensland, St Lucia, 4072, Queensland, Australia; Centre for Biodiversity and Conservation Science (CBCS), The University of Queensland, St Lucia, 4072, Queensland, Australia; Centre for Ecology and Conservation, Faculty of Environment, Science and Economy, University of Exeter, Penryn, Cornwall, TR10 9FE, UK.

Trends in Ecology & Evolution
|October 9, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

Balancing resource use and biodiversity conservation requires effective multiple-use spatial planning. This study explores challenges and aims to improve accessibility for researchers and practitioners to meet global goals.

Keywords:
global biodiversity frameworkintegrated spatial planningspatial optimizationsustainable development goalssystematic conservation planning

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Area of Science:

  • Ecology
  • Environmental Planning
  • Conservation Science

Background:

  • Increasing global demand for resources intensifies competition for space.
  • Pressure on natural systems necessitates balancing resource use with biodiversity conservation.
  • Multiple-use spatial planning offers a framework for managing competing demands.

Purpose of the Study:

  • To explore the current state of multiple-use spatial planning.
  • To identify challenges hindering the adoption of multiple-use spatial planning.
  • To enhance accessibility and adoption of multiple-use planning for researchers and practitioners.

Main Methods:

  • Review of current multiple-use spatial planning approaches.
  • Identification of barriers to implementation in terrestrial, freshwater, and marine environments.
  • Analysis of challenges including timing, economic impacts, capacity building, and development alignment.

    • Main Results:

    • Limited guidance exists for selecting optimization approaches in spatial planning.
    • Key challenges include intervention timing, economic considerations, capacity, and alignment with development.
    • Current approaches may not be fully integrated across different ecosystems.

    Conclusions:

    • Multiple-use spatial planning is crucial for sustainable resource management and biodiversity.
    • Addressing identified challenges can facilitate wider adoption of effective planning strategies.
    • Increased accessibility and uptake of these planning methods are vital for achieving international ecological, economic, and social objectives.