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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Addressing transboundary conservation challenges through marine spatial prioritization.

Elena Gissi1, Jennifer McGowan2,3, Chiara Venier4

  • 1Department of Design and Planning in Complex Environments, Università Iuav di Venezia, Tolentini, 191, 30135, Venice, Italy.

Conservation Biology : the Journal of the Society for Conservation Biology
|May 17, 2018
PubMed
Summary
This summary is machine-generated.

Marine spatial planning in the Adriatic and Ionian Region faces challenges due to diverse regulations. Marxan software helps balance biodiversity conservation with minimizing impacts on maritime industries, crucial for sustainable development.

Keywords:
Adriatic and Ionian regionMARXANMarxanMarxan软件Región Adriática y Jónicacompensacionesconservation planningequidad en la protecciónindustrias marinasmarine spatial planningmaritime industriesplanificación de la conservaciónplanificación especial marinaprotection equalitytrade-offs亚得里亚和爱奥尼亚地区 (Adriatic and Ionian region)保护的平等性保护规划利弊权衡海洋产业海洋空间规划

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Area of Science:

  • Marine spatial planning
  • Biodiversity conservation
  • Sustainable maritime development

Background:

  • The Adriatic and Ionian Region is vital for EU's maritime development and biodiversity.
  • Conflicting legal frameworks across EU and non-EU countries hinder coordinated sustainable development.
  • Transboundary marine spatial planning is proposed to reconcile conservation with economic activities.

Purpose of the Study:

  • To develop and test spatial prioritization strategies for marine spatial planning.
  • To evaluate how biodiversity targets at regional versus country scales affect conservation areas.
  • To analyze the trade-offs between cost-efficiency and equitable representation of maritime industries.

Main Methods:

  • Utilized the Marxan decision-support tool to create 4 spatial prioritization strategies.
  • Assessed shifts in conservation priority areas under different target-setting scales.
  • Employed the protection-equality metric to examine cost-efficiency and industry representation.

Main Results:

  • Biodiversity targets at regional and country scales showed negligible differences in conservation area placement.
  • Minimizing impacts on maritime industries led to divergent and biased protection scenarios.
  • Scenarios prioritizing industry cost-efficiency favored isolated industries over concentrated ones.

Conclusions:

  • Future marine spatial planning should identify areas of national and transboundary significance.
  • Careful consideration of trade-offs between biodiversity and socioeconomic objectives is essential.
  • Addressing impacts on maritime industries requires explicit evaluation in planning processes.