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Socioeconomics, planning, and management

Assessment of forest restoration projects in different regions using multicriteria decision analysis methods

, , , &
Pages 12-20 | Received 02 Apr 2019, Accepted 10 Dec 2019, Published online: 25 Dec 2019
 

ABSTRACT

The assessment of forest restoration projects with multiple goals implemented in different regions is a strategy for examining the effectiveness of the plan and implementation of forest restoration projects. This study proposes a model for assessing the effectiveness of implementing forest restoration projects in alternative regions by integrating their environmental, social, and economic conditions using multicriteria decision analysis methods, i.e. the entropy weight and the technique for order of preference by similarity to ideal solution methods. The Sloping Land Conversion Program (SLCP) in China was used to validate the proposed assessment model. The results suggest that one of the trial regions of the SLCP achieves the environmental, social, and economic goals and that different goals can be achieved with various extent at different stages of the project. While the findings may help China to understand the effectiveness of the SLCP project, it may also be of relevance to other countries that are experiencing difficulties in simultaneously assessing multiple goals of their forest restoration projects and promoting local socioeconomic development. Particularly, the multicriteria decision analysis methods proposed for assessing forest restoration projects in this study can be extrapolated to other projects and geographical areas.

Disclosure statement

No potential conflict of interest was reported by the authors.

Supplementary material

Supplemental data for the article can be accessed here.

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.

Additional information

Funding

This work was supported by the Special Fund for Forest Scientific Research in the Public Welfare:[Grant Number 201504424], National Natural Science Foundation of China: [Grant Number 71531013; 71729001; 71603126 and 71911530164] and the Key Project of Philosophy and Social Science Research in Colleges and Universities in Jiangsu Province: [Grant Number 2017ZDIXM098].

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