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Case studies on Korea-China’s combating desertification cooperation project in China

XV World Forestry Congress, 2-6 May 2022

Year of publication 2022

Place of publication Rome, Italy ;

Pages 8p.

Author Park, K.-H., Lu, Q., Kang, W.-S.

Publisher FAO ;

Product type Article

Synopsis (short abstract) The Korea-China joint research team of National Institute of Forest Science (NIFoS) of the Republic of Korea and the Institute of Desertification Studies, Chinese Academy of Forestry (CAF) of People’s Republic of China, conducted a field study from 2017 to 2018, on 5 research sites in western China, which were set during the period of 2001-2005 as research site to combat desertification. The 5 sites are as follows: 1) Baiyin city (1,540 ha), Gansu Province, 2) Pingluo county (1,000 ha), Ningxia, 3) Tongliao city (3,000 ha), Inner Mongolia Autonomous Region, 4) Xiuwen (1,300 ha), Guizhou Province, and 5) Tulufan (1,200 ha), Xinjiang Province. On the above 5 sites, the joint team compared and analyzed the changes of the 1) major vegetation combination before and after the project, 2) land use aspects of the sites and surrounding areas, 3) social and economic aspects, and so on. Considered by the survival rate, the lowest was found about 52% (Pingluo county) and the highest is about 95% (Baiyin city). As for the NDVI (Normalized Difference Vegetation Index) and income sources, all the 5 sites were found to increase showing rising curves. The field study, however, also found some challenges to be addressed on the sites, including irrigation system, drainage management, density control and so on, which requires constant attention and further studies on these aspects. Also, more in-depth research should be conducted to systematize site characteristics by project sites as database, through continuous monitoring and evaluation of each project site, and to improve and advance restoration-related techniques that can fully address and cover all the potential challenges. Keywords: Biodiversity conservation, Sustainable forest management, Monitoring and data collection, Research ID: 3485089

Language English

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