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

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 co...

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Bibliographic Details
Published in:Scientific Reports
Main Authors: Liang, Jie, Gao, Xiang, Zeng, Guangming, Hua, Shanshan, Zhong, Minzhou, Li, Xiaodong, Li, Xin
Format: Text
Language:English
Published: Nature Publishing Group UK 2018
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5760730/
http://www.ncbi.nlm.nih.gov/pubmed/29317759
https://doi.org/10.1038/s41598-017-18594-2
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Summary: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.