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Coupling Modern Portfolio Theory and Marxan enhances the efficiency of Lesser White-fronted Goose’s (Anser erythropus) habitat conservation

机译:现代投资组合理论和马克思的结合提高了小白额鹅(红毛猩猩)栖息地保护的效率

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摘要

Climate change and human activities cause uncertain changes to species biodiversity by altering their habitat. The uncertainty of climate change requires planners to balance the benefit and cost of making conservation plan. Here optimal protection approach for Lesser White-fronted Goose (LWfG) by coupling Modern Portfolio Theory (MPT) and Marxan selection were proposed. MPT was used to provide suggested weights of investment for protected area (PA) and reduce the influence of climatic uncertainty, while Marxan was utilized to choose a series of specific locations for PA. We argued that through combining these two commonly used techniques with the conservation plan, including assets allocation and PA chosing, the efficiency of rare bird’s protection would be enhanced. In MPT analyses, the uncertainty of conservation-outcome can be reduced while conservation effort was allocated in Hunan, Jiangxi and Yangtze River delta. In Marxan model, the optimal location for habitat restorations based on existing nature reserve was identified. Clear priorities for the location and allocation of assets could be provided based on this research, and it could help decision makers to build conservation strategy for LWfG.
机译:气候变化和人类活动通过改变栖息地,导致物种生物多样性的不确定变化。气候变化的不确定性要求规划人员平衡制定保护计划的收益和成本。提出了结合现代投资组合理论(MPT)和马克思选择对小白额鹅(LWfG)的最佳保护方法。 MPT用于为保护区(PA)提供建议的投资权重,并减少气候不确定性的影响,而Marxan用于为PA选择一系列特定位置。我们认为,通过将这两种常用技术与资产分配和PA选择等保护计划结合起来,可以提高珍禽保护的效率。在MPT分析中,在湖南,江西和长江三角洲分配保护工作的同时,可以减少保护结果的不确定性。在马克思模型中,确定了基于现有自然保护区的栖息地恢复的最佳位置。根据这项研究,可以为资产的位置和分配提供明确的优先级,这可以帮助决策者制定LWfG的保护策略。

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