Evidence map›Paper›PMID 29317759›Full record

ArticleScientific reports2018

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

Jie Liang, Xiang Gao, Guangming Zeng, Shanshan Hua, Minzhou Zhong, Xiaodong Li, Xin Li

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Resilient tree-planting strategies for carbon dioxide removal under compounding climate and economic uncertainties.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jie LiangCollege of Environmental Science and Engineering, Hunan University, Changsha, 410082, PR China. liangjie82@163.com.ORCID http://orcid.org/0000-0003-4559-4378
Xiang GaoCollege of Environmental Science and Engineering, Hunan University, Changsha, 410082, PR China.
Guangming ZengCollege of Environmental Science and Engineering, Hunan University, Changsha, 410082, PR China. zgming@hnu.edu.cn.
Shanshan HuaCollege of Environmental Science and Engineering, Hunan University, Changsha, 410082, PR China.
Minzhou ZhongCollege of Environmental Science and Engineering, Hunan University, Changsha, 410082, PR China.
Xiaodong LiCollege of Environmental Science and Engineering, Hunan University, Changsha, 410082, PR China.
Xin LiCollege of Environmental Science and Engineering, Hunan University, Changsha, 410082, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

AlgorithmsCosts and Cost AnalysisEcosystemAnimalsChinaEndangered SpeciesGeeseModels, Economic

Identifiers

PMID29317759
PMCPMC5760730

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.