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Landscape-scale conservation design across biotic realms: sequential integration of aquatic and terrestrial landscapes

机译:跨生物领域的景观尺度保护设计:水生和陆地景观的顺序整合

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摘要

Systematic conservation planning has been used extensively throughout the world to identify important areas for maintaining biodiversity and functional ecosystems, and is well suited to address large-scale biodiversity conservation challenges of the twenty-first century. Systematic planning is necessary to bridge implementation, scale, and data gaps in a collaborative effort that recognizes competing land uses. Here, we developed a conservation planning process to identify and unify conservation priorities around the central and southern Appalachian Mountains as part of the Appalachian Landscape Conservation Cooperative (App LCC). Through a participatory framework and sequential, cross-realm integration in spatial optimization modeling we highlight lands and waters that together achieve joint conservation goals from LCC partners for the least cost. This process was driven by a synthesis of 26 multi-scaled conservation targets and optimized for simultaneous representation inside the program Marxan to account for roughly 25% of the LCC geography. We identify five conservation design elements covering critical ecological processes and patterns including interconnected regions as well as the broad landscapes between them. Elements were then subjected to a cumulative threats index for possible prioritization. The evaluation of these elements supports multi-scaled decision making within the LCC planning community through a participatory, dynamic, and iterative process.
机译:系统的保护规划已在全世界广泛使用,以确定维护生物多样性和功能性生态系统的重要领域,非常适合应对二十一世纪的大规模生物多样性保护挑战。必须进行系统规划以弥合实施,规模和数据之间的差距,以共同努力,认识到相互竞争的土地用途。在这里,我们制定了一项保护规划程序,以识别和统一阿巴拉契亚中部和南部山脉周围的保护重点,作为阿巴拉契亚景观保护合作社(App LCC)的一部分。通过参与性框架和空间优化建模中的顺序跨领域集成,我们突出显示了土地和水域,它们共同以最低的成本实现了LCC合作伙伴的共同保护目标。这个过程是由26个多尺度保护目标的综合驱动的,并针对在Marxan程序中同时表示进行了优化,使其大约占LCC地理的25%。我们确定了五个保护性设计要素,涵盖了关键的生态过程和模式,包括相互关联的区域以及它们之间的广阔景观。然后,对要素进行累积威胁指数以进行可能的优先级排序。这些元素的评估通过参与性,动态和迭代过程,为LCC规划社区内的多尺度决策提供了支持。

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