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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

The Grain for Green Project (GGP) is one of many Nature-based Solutions (NbS), which aims to address the challenge of ecological restoration while providing livelihood security for farmers in poverty-dominated regions. Evaluating the success of such a project can prove difficult. Here, we choose the contiguous poverty-stricken regions (CPSR) of China to study the multiple benefits of the GGP in the context of NbS. We collect ecological-monitoring data, forest-resources data, and socioeconomic data and use them in a distributed method with relevant indicators, to evaluate the ecological benefits of the GGP. Additionally, the socioeconomic benefits are evaluated using questionnaire-based surveys. Our results showed that the ecological benefits of the GGP in the CPSR were 5.6 × 1011 RMB/a in 2017, with the proportion of each ecosystem’s services being 27.1% (water conservation), 21.1% (biodiversity conservation), 18.4% (purification of the atmospheric environment), 13.1% (soil conservation), 12.9% (carbon sequestration and oxygen release), 5.4% (forest protection), and 1.6% (nutrient accumulation). In terms of socioeconomic benefit, the GGP changed the production methods of farmers, which resulted in income growth, with an average increase of 5100 RMB/a per household. In the context of NbS, ecological conservation, and restoration, the accurate and systematic monitoring of the socioeconomic and ecological benefits will become more important for government decisions.

Details

Title
The Grain for Green Project in Contiguous Poverty-Stricken Regions of China: A Nature-Based Solution
Author
Xu, Tingyu 1 ; Niu, Xiang 1 ; Wang, Bing 1 

 Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China; [email protected] (T.X.); [email protected] (B.W.); Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Beijing 100091, China; Dagangshan National Key Field Observation and Research Station for Forest Ecosystem, Xinyu 338033, China 
First page
7755
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
20711050
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2686147882
Copyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.