Biodiversity and Biocultural Conservation Laboratory, Section of Integrative Biology, University of Texas, Austin, Texas, United States of America.
PLoS One. 2012;7(5):e36650. doi: 10.1371/journal.pone.0036650. Epub 2012 May 14.
México is one of the world's centers of species diversity (richness) for Opuntia cacti. Yet, in spite of their economic and ecological importance, Opuntia species remain poorly studied and protected in México. Many of the species are sparsely but widely distributed across the landscape and are subject to a variety of human uses, so devising implementable conservation plans for them presents formidable difficulties. Multi-criteria analysis can be used to design a spatially coherent conservation area network while permitting sustainable human usage.
Species distribution models were created for 60 Opuntia species using MaxEnt. Targets of representation within conservation area networks were assigned at 100% for the geographically rarest species and 10% for the most common ones. Three different conservation plans were developed to represent the species within these networks using total area, shape, and connectivity as relevant criteria. Multi-criteria analysis and a metaheuristic adaptive tabu search algorithm were used to search for optimal solutions. The plans were built on the existing protected areas of México and prioritized additional areas for management for the persistence of Opuntia species. All plans required around one-third of México's total area to be prioritized for attention for Opuntia conservation, underscoring the implausibility of Opuntia conservation through traditional land reservation. Tabu search turned out to be both computationally tractable and easily implementable for search problems of this kind.
Opuntia conservation in México require the management of large areas of land for multiple uses. The multi-criteria analyses identified priority areas and organized them in large contiguous blocks that can be effectively managed. A high level of connectivity was established among the prioritized areas resulting in the enhancement of possible modes of plant dispersal as well as only a small number of blocks that would be recommended for conservation management.
墨西哥是世界上仙人柱属仙人掌物种多样性(丰富度)的中心之一。然而,尽管它们具有经济和生态重要性,但在墨西哥,仙人柱属物种的研究和保护仍很不完善。许多物种在景观中分布稀疏但广泛,并且受到各种人类用途的影响,因此为它们制定可行的保护计划带来了巨大的困难。多准则分析可用于设计具有空间一致性的保护区域网络,同时允许可持续的人类使用。
使用 MaxEnt 为 60 种仙人柱属物种创建了物种分布模型。在保护区域网络内,代表目标被分配给地理上最稀有物种的 100%和最常见物种的 10%。使用总面积、形状和连通性作为相关标准,开发了三种不同的保护计划来代表这些网络中的物种。多准则分析和元启发式自适应禁忌搜索算法用于搜索最佳解决方案。这些计划建立在墨西哥现有的保护区基础上,并为管理仙人柱属物种的持久性确定了额外的管理区域。所有计划都需要大约三分之一的墨西哥总面积作为仙人柱属保护的重点,这突显出通过传统土地保留来保护仙人柱属是不可行的。禁忌搜索对于这种搜索问题来说,不仅计算上可行,而且易于实施。
墨西哥仙人柱属的保护需要管理大面积的土地以实现多种用途。多准则分析确定了优先区域,并将它们组织成大型连续的块,以便有效管理。在优先区域之间建立了高度的连通性,从而增强了植物传播的可能模式,同时只推荐了少数几个适合保护管理的块。