Constrained optimization of landscape indices in conservation planning to support ecological restoration in New Caledonia,Journal of Applied Ecology

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Constrained optimization of landscape indices in conservation planning to support ecological restoration in New Caledonia
Journal of Applied Ecology ( IF 5.0 ) Pub Date : 2020-11-28 , DOI: 10.1111/1365-2664.13803
Dimitri Justeau‐Allaire _{1,

2,

3} , Ghislain Vieilledent _{1,

3} , Nicolas Rinck ₄ , Philippe Vismara _{5,

6} , Xavier Lorca ₇ , Philippe Birnbaum _{1,

2,

3}

Affiliation

Curbing habitat loss, reducing fragmentation and restoring connectivity are frequent concerns of conservation planning. In this respect, the incorporation of spatial constraints, fragmentation and connectivity indices into optimization procedures is an important challenge for improving decision support.
Here we present a novel optimization approach developed to accurately represent a broad range of conservation planning questions with spatial constraints and landscape indices. Relying on constraint programming, a technique from artificial intelligence based on automatic reasoning, this approach provides both constraint satisfaction and optimality guarantees.
We applied this approach in a real case study to support managers of the ‘Côte Oubliée – ‘Woen Vùù – Pwa Pereeù’ provincial park project, in the biodiversity hotspot of New Caledonia. Under budget, accessibility and equitable allocation constraints, we identified restorable areas optimal for reducing forest fragmentation and improving inter‐patch structural connectivity, respectively measured with the effective mesh size and the integral index of connectivity.
Synthesis and applications. Our work contributes to more effective and policy‐relevant conservation planning by providing a spatially explicit and problem‐focused optimization approach. By allowing an exact representation of spatial constraints and landscape indices, it can address new questions and ensure whether the solutions will be socio‐economically feasible, through optimality and satisfiability guarantees. Our approach is generic and flexible, thus applicable to a wide range of conservation planning problems, such as ecological restoration planning, reserve or corridor design.

中文翻译：

保护规划中景观指数的优化约束以支持新喀里多尼亚的生态恢复

遏制栖息地的流失，减少破碎和恢复连通性是保护规划中经常关注的问题。在这方面，将空间约束，碎片和连通性指数纳入优化程序是改善决策支持的重要挑战。
在这里，我们提出了一种新颖的优化方法，可以准确地表示具有空间限制和景观指数的各种保护规划问题。依靠约束编程（一种基于自动推理的人工智能技术），该方法既提供了约束满足又提供了最优性保证。
我们在实际案例研究中采用了这种方法，以支持新喀里多尼亚生物多样性热点地区“CôteOubliée– WoenVùù– PwaPereeù”省级公园项目的管理人员。在预算，可及性和公平分配的约束下，我们确定了可还原区域，这些区域分别是有效网格尺寸和连通性的整体指标，分别是减少森林破碎化和改善斑块间结构连通性的最佳区域。
综合与应用。我们的工作通过提供一种在空间上明确且针对问题的优化方法，有助于制定更有效且与政策相关的保护计划。通过精确表示空间限制和景观指数，它可以解决新问题，并通过最优性和可满足性保证来确保解决方案在社会经济上是否可行。我们的方法是通用且灵活的，因此适用于广泛的保护规划问题，例如生态恢复规划，保护区或走廊设计。

更新日期：2020-11-28

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