Selected for the National Institute of Ecology Resident Capacity Building Project

The Nation's Only Urban National Wetland 'Gwangju Jangnok Wetland' Takes First Step Toward Resident Participation Management View original image

[Asia Economy Honam Reporting Headquarters Reporter Yoon Jamin] Gwangsan-gu, Gwangju Metropolitan City (District Mayor Kim Samho) announced on the 23rd that Hwangryonggang Jangnok Wetland has been selected as a target area for the resident capacity-building project led by the National Institute of Ecology.


The resident capacity-building project is a program that supports residents to directly engage in wetland conservation activities.


As a result of this public contest, four areas including Gwangju Jangnok Wetland, Inje Daeamsan Yongneup, Mungyeong Dolline Wetland, and Gimhae Hwapocheon Wetland were selected as target areas among 27 wetland protection sites nationwide.


Jangnok Wetland was designated as a national wetland protection area in December last year through a resident deliberation process. It is the only national wetland located within an urban area in Korea.


The natural state is well preserved, and about 829 species of diverse flora and fauna inhabit the area. In particular, it serves as a sanctuary for endangered wildlife such as the first-class endangered Eurasian otter, second-class leopard cat, black-crowned night heron, and white-naped crane, and has been recognized for its high ecological value.


Following the selection for this project, various wetland conservation activities led by local residents will be promoted. A resident council will be formed to operate programs aimed at raising awareness of ecosystem protection and enhancing conservation management capabilities.



Kim Samho, Mayor of Gwangsan-gu, said, “Resident participation is important to nurture and preserve Jangnok Wetland, a precious ecological resource of Gwangju,” and added, “We will work with residents to make Jangnok Wetland a representative ecological tourism destination in Korea.”


This content was produced with the assistance of AI translation services.

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