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Long-term changes in population trends of wintering waterbirds in the Republic of Korea

Published online by Cambridge University Press:  03 September 2025

Hyung-Kyu Nam
Affiliation:
National Institute of Biological Resources , Incheon 22689, Republic of Korea
Wee-Haeng Hur
Affiliation:
National Institute of Biological Resources , Incheon 22689, Republic of Korea
Hwa-Jung Kim
Affiliation:
National Institute of Biological Resources , Incheon 22689, Republic of Korea
Dong-Won Kim
Affiliation:
National Institute of Biological Resources , Incheon 22689, Republic of Korea
Jae-Woong Hwang
Affiliation:
National Institute of Biological Resources , Incheon 22689, Republic of Korea
Jinyoung Park
Affiliation:
National Institute of Biological Resources , Incheon 22689, Republic of Korea
Hyun Jong Kil
Affiliation:
National Institute of Biological Resources , Incheon 22689, Republic of Korea
Yu-Seong Choi*
Affiliation:
National Institute of Biological Resources , Incheon 22689, Republic of Korea
*
Corresponding author: Yu-Seong Choi; Email: yschoi0321@korea.kr
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Summary

The population changes in waterbirds are recognised as a global issue. Many waterbird species, especially migratory ones, are undergoing population changes. Monitoring these changes is crucial for waterbird conservation. However, the lack of data to quantify these populations hinders comprehension of the factors responsible for these changes. Although a few studies have investigated the long-term trends of waterbirds in the Republic of Korea (ROK), most have concentrated on a limited number of species and groups. Understanding these changes enables us to identify which species are vulnerable and develop more effective conservation measures accordingly. This study aimed to investigate the population dynamics of waterbirds in the ROK from 2000 to 2024. Data from the Winter Waterbird Census of Korea were used to analyse trends across various waterbird groups and species. The results showed diverse population trajectories, with some species experiencing notable increases while others underwent severe declines. Among the observed trends, several globally threatened species, such as the White-naped Crane Grus vipio and Oriental Stork Ciconia boyciana, exhibited significant population growth. This is largely a testament to the effectiveness of conservation interventions aimed at these species. However, the study also identified population declines of some species, such as the Tundra Swan Cygnus columbianus and Common Pochard Aythya ferina, indicating pervasive threats due to habitat loss and degradation. Lastly, several recommendations are made regarding the identified population trends that should be used to guide future conservation efforts in the East Asian–Australasian Flyway. This study, with its comprehensive and detailed findings, reiterates the importance of long-term monitoring data for developing effective conservation measures.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of BirdLife International
Figure 0

Figure 1. Map of monitoring sites in the Republic of Korea, as supplied by the Winter Waterbird Census of Korea (WWCK). It represents a total of 208 survey areas.

Figure 1

Figure 2. Population trends for waterbird groups from 2000 to 2024 in the Republic of Korea. The y-axis is an index value with 95% confidence limits derived from the Trends and Indices for Monitoring (TRIM) analysis. Through the TRIM analysis, the population trend from 2000 to 2024 is represented in red, while the early period (2000–2012) and the later period (2023–2024) are depicted in blue.

Figure 2

Table 1. Results of the TRIM and percentage change analyses. * p < 0.05, ** p < 0.01, *** p < 0.001

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