prior3D: An R package for three-dimensional conservation prioritization

IF 2.6 3区 环境科学与生态学 Q2 ECOLOGY
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引用次数: 0

Abstract

Systematic conservation planning (SCP) is essential for meeting global conservation goals and mitigating anthropogenic impacts on biodiversity. Effective conservation planning should incorporate the three-dimensional nature of ecosystems, including species distribution by depth. Recent advancements, like the 3D prioritization approach, address this by considering multiple depth zones. The R package prior3D is an open-source tool designed for prioritizing conservation efforts across different depth zones in a unified framework. Starting from the deepest zone and moving upwards, it optimizes conservation priorities and allows flexible allocation of protection levels per depth. This approach strategically prioritizes areas with higher species gains, while ensuring minimum representation of all depth zones in the final prioritization solution. While conceived for marine conservation, prior3D is applicable to any 3D ecosystem making it a critical tool for multi-realm conservation efforts.
prior3D:用于确定三维保护优先次序的 R 软件包
系统性保护规划(SCP)对于实现全球保护目标和减轻人类活动对生物多样性的影响至关重要。有效的保护规划应包含生态系统的三维性质,包括物种在不同深度的分布。三维优先排序法等最新进展通过考虑多个深度区域来解决这一问题。R 软件包 prior3D 是一个开源工具,用于在一个统一的框架内对不同深度区域的保护工作进行优先排序。它从最深的区域开始向上移动,优化保护优先级,并允许灵活分配每个深度的保护级别。这种方法从战略上优先考虑物种收益较高的区域,同时确保所有深度区域在最终优先级解决方案中的最小代表性。虽然 prior3D 是为海洋保护而设计的,但它适用于任何三维生态系统,是多领域保护工作的重要工具。
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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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