School of Environmental Sciences, University of Guelph, Guelph, Ontario, Canada.
Department of Applied Mathematics, University of Waterloo, Waterloo, Ontario, Canada.
PLoS One. 2019 May 31;14(5):e0217812. doi: 10.1371/journal.pone.0217812. eCollection 2019.
An effective strategy to resolve conservation conflicts on lands outside of nature reserves is to consider the spatial arrangement of agricultural and native vegetation parcels such that the ecological value of the landscape is improved without reducing the amount of land used for agricultural production. Global optimization methods have been used to identify the best spatial arrangement of land parcels for a given project goal, but these methods are not designed to provide pathways to reach the optimum from the initial landscape. Here we describe how local search algorithms can be used to develop land parcel rearrangement pathways to obtain a landscape that sustains greater species richness than the initial landscape without changing the amount of land used for agricultural production. To demonstrate how the local optimization framework can be applied, an ecological setting based on a forest-grassland mosaic ecosystem in Rio Grande do Sul, Brazil was constructed. Plant samples collected from this region were used to construct species area curves. Multiple locally optimal solutions that improved the modeled species richness of the landscape almost to globally optimal levels were identified. To support the results, the algorithm was also applied to a 306,250 ha forest-grassland region of Rio Grande do Sul. The case study results suggested that conservation polices solely based on landowners satisfying a legal reserve percentage on their property should be revised to consider landscape-level connectivity. Providing multiple possible solutions for landscape configurations using local optimization methods may improve managerial flexibility for decision-makers, compared to global optimization approaches providing a single solution. Furthermore, the algorithm details the parcel exchange pathways that are required to reach the optimal land state. We conclude that local and global optimization approaches can be used in combination to improve land use decision-making for conservation, in mosaic ecosystems as well as other terrestrial ecosystems.
解决保护区外土地保护冲突的有效策略是考虑农业和原生植被地块的空间布局,在不减少农业生产用地的情况下提高景观的生态价值。已经使用全局优化方法来确定用于给定项目目标的土地地块的最佳空间布局,但这些方法并非旨在提供从初始景观到达最佳状态的途径。在这里,我们描述了如何使用局部搜索算法来开发土地地块重新排列途径,以获得比初始景观维持更高物种丰富度的景观,而不改变用于农业生产的土地量。为了演示局部优化框架如何应用,构建了基于巴西南里奥格兰德州森林-草原镶嵌生态系统的生态设置。从该地区收集的植物样本用于构建物种面积曲线。确定了多个局部最优解,这些解几乎可以将模型化的景观物种丰富度提高到全局最优水平。为了支持结果,该算法还应用于南里奥格兰德州的一个 306,250 公顷的森林-草原区域。案例研究结果表明,仅基于土地所有者在其财产上满足法定保留百分比的保护政策应该进行修订,以考虑景观水平的连通性。与提供单一解决方案的全局优化方法相比,使用局部优化方法为景观配置提供多种可能的解决方案可能会提高决策者的管理灵活性。此外,该算法详细说明了达到最佳土地状态所需的地块交换途径。我们得出结论,局部和全局优化方法可以结合使用,以改善保护镶嵌生态系统和其他陆地生态系统中的土地利用决策。