A visual analytics framework for conservation planning optimization
A visual analytics framework for conservation planning optimization
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DOI：
10.1016/j.envsoft.2021.105178
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发表时间：
2021-11
期刊：
影响因子：
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通讯作者：
Rui Zhang;Yafeng Lu;K. Adams;J. Sefair;Haley Mellin;M. Acevedo;Ross Maciejewski
中科院分区：
文献类型：
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作者：
Rui Zhang;Yafeng Lu;K. Adams;J. Sefair;Haley Mellin;M. Acevedo;Ross Maciejewski
目前全球大约 15% 的土地处于某种保护状态。最近的保护研究表明，到 2050 年需要大幅增加受保护土地。为了实现这一目标，需要以具有成本效益和时间效率的方式保护或恢复另外 35% 的土地，以支持地球及其气候的恢复能力。尽管许多个人和基金会继续为环境筹集急需的资金，但保护投资组合的开发是一项复杂的多维任务。各机构投资新保护区的资源有限，并且在物种、土地覆盖、人类活动等方面有不同的保护优先事项。我们提出了一个交互式保护组合开发系统，该系统结合了可视化、多标准分析、优化和决策，使保护规划者和科学家能够在多种约束下有效地构建、比较和修改保护组合。
Approximately 15% of global land is currently in some state of protection. Recent conservation research suggests the need for a drastic increase of protected lands by 2050. In order to reach this target, an additional 35% of lands need to be conserved or restored in a cost-effective and time-efficient manner in order to support the resiliency of our planet and its climate. While many individuals and foundations continue raising much-needed funding for the environment, the development of conservation portfolios is a complex multi-dimensional task. Agencies have limited resources for investing in new conservation areas and have differing priorities for conservation in terms of species, land cover, human activities, etc. We present an interactive conservation portfolio development system that combines visualization, multicriteria analysis, optimization, and decision making that enables conservation planners and scientists to efficiently construct, compare, and modify conservation portfolios under multiple constraints.