Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Young-Soo Kwon is active.

Publication


Featured researches published by Young-Soo Kwon.


Journal of Ornithology | 2010

Egg survival is related to the colour matching of eggs to nest background in Black-tailed Gulls

Who-Seung Lee; Young-Soo Kwon; Jeong-Chil Yoo

A long-standing hypothesis posits that, for species with exposed nests, a close match between the colour of the eggs and that of the nest in which they are laid should enhance egg survival, but this has rarely been tested in a rigorous manner. Here, we demonstrate the effects of egg–nest colour matching on egg survival in Black-tailed Gulls (Larus crassirostris) on Hongdo Island, Korea. We quantified the ground colour of eggshells and that of the nest background using a digital camera and computerized RGB and greyscale colour systems. We show that a close match of eggshell ground colour and nest background colour was associated with increased chances of eggs surviving through to hatching. In particular, there were strong survival advantages for eggs matching the nest colour in sites with poor concealment, whereas there was no effect of eggshell ground colour in nests that were more concealed by vegetation. Our findings support the hypothesis that egg colour functions to make eggs cryptic and that egg colouration may be a significant factor affecting egg loss.


Ecology and Evolution | 2014

Spatial patterns, ecological niches, and interspecific competition of avian brood parasites: inferring from a case study of Korea

Jin-Won Lee; Hee-Jin Noh; Yunkyoung Lee; Young-Soo Kwon; Chang-Hoe Kim; Jeong-Chil Yoo

Since obligate avian brood parasites depend completely on the effort of other host species for rearing their progeny, the availability of hosts will be a critical resource for their life history. Circumstantial evidence suggests that intense competition for host species may exist not only within but also between species. So far, however, few studies have demonstrated whether the interspecific competition really occurs in the system of avian brood parasitism and how the nature of brood parasitism is related to their niche evolution. Using the occurrence data of five avian brood parasites from two sources of nationwide bird surveys in South Korea and publically available environmental/climatic data, we identified their distribution patterns and ecological niches, and applied species distribution modeling to infer the effect of interspecific competition on their spatial distribution. We found that the distribution patterns of five avian brood parasites could be characterized by altitude and climatic conditions, but overall their spatial ranges and ecological niches extensively overlapped with each other. We also found that the predicted distribution areas of each species were generally comparable to the realized distribution areas, and the numbers of individuals in areas where multiple species were predicted to coexist showed positive relationships among species. In conclusion, despite following different coevolutionary trajectories to adapt to their respect host species, five species of avian brood parasites breeding in South Korea occupied broadly similar ecological niches, implying that they tend to conserve ancestral preferences for ecological conditions. Furthermore, our results indicated that contrary to expectation interspecific competition for host availability between avian brood parasites seemed to be trivial, and thus, play little role in shaping their spatial distributions and ecological niches. Future studies, including the complete ranges of avian brood parasites and ecological niches of host species, will be worthwhile to further elucidate these issues.


Ecological Informatics | 2006

Evaluation of environmental factors to predict breeding success of Black-tailed Gulls

Who-Seung Lee; Young-Soo Kwon; Young-Seuk Park; Tae-Soo Chon; Jeong-Chil Yoo

Abstract This study demonstrated prediction of breeding success of Black-tailed Gulls in relation to the selected environmental factors through evaluation of relative importance in determining breeding success. The data were obtained from the 258 selected and 120 non-selected sites for breeding of the gulls during the breeding periods in 2002–2003. Breeding success at the selected sites, and environmental factors such as vegetation cover, vegetation height, rock cover, nest-wall, nearest distance between neighbors and slope, were measured at each sampling site. For predicting breeding success of Black-tailed Gulls, we used two different artificial neural networks in this study: self-organizing map (SOM) and multilayer perceptron (MLP). SOM was used to classify the sampling sites based on the environmental factors, whereas MLP was implemented to prediction of breeding success of the gulls at the non-selected sites based on environmental conditions. In our results, SOM discriminated clearly the sampling sites and presented differences in environmental factors between the selected and non-selected sites. Subsequently, the breeding success was accordingly predicted by MLP. Nest-wall was considered the most important environmental factor in determining survival status of the gulls. An increase in nest-wall and vegetation cover was required to support breeding of the specimens for managing the habitats for Black-tailed Gulls.


Waterbirds | 2008

Habitat Selection by Black-tailed Gulls on Hongdo Island, Korea

Who-Seung Lee; Young-Soo Kwon; Jeong-Chil Yoo

Abstract Habitat selection in Black-tailed Gulls (Larus crassirostris) on Hongdo Island, Korea, was studied during the breeding period in 2002-2003. To compare topographical advantages and disadvantages on breeding, we examined two habitats on the island: rocky-cliffs (lower and edge) and grassy (upper and inside) for differences in breeding biology and feeding frequency. In rocky-cliff habitat, Black-tailed Gulls had higher clutch size, faster laying and hatching date, and higher hatching and fledging success. Topographically, rocky-cliff habitat had two advantages-it was closer to sea and difficult to access. Proximity to the sea allowed higher feeding frequency whereas difficult access restricted predators. Conversely, grassy habitat was farther from the sea and allowed easier access to predators, but a lot of grass covered nests to protect eggs and chicks. These disadvantages caused low feeding frequency and higher hatching failure. Egging by fisherman was also a disadvantage of grassy habitat because of easy access from landing places. Therefore, our results suggested that rocky-cliff habitat was more profitable habitat than grassy habitat and this profitability was related to topographical difference between habitats.


Ecological Modelling | 2006

Multivariate analysis and self-organizing mapping applied to analysis of nest-site selection in Black-tailed Gulls

Who-Seung Lee; Young-Soo Kwon; Jeong-Chil Yoo; Mi-Young Song; Tae-Soo Chon


한국조류학회지 | 1999

Benthic Animals of Kanghwa Island and Gut Analysis of Some Waterbirds

Si-Wan Lee; Young-Soo Kwon; Jong-Geel Je; Jeong-Chil Yoo


Journal of Ecology and Environment | 2006

The Relationship between Vegetation Cover and Hatching Success, and Chicks' Survival in Black-Tailed Gulls on Hongdo Island

Who-Seung Lee; Young-Soo Kwon; Jeong-Chil Yoo


한국조류학회지 | 1997

Some Aspects of Laying, Incubation and Hatching in the Black-tailed Gull, Larus crassirostris

Jeong-Chil Yoo; Young-Soo Kwon


Environmental Biology Research | 2017

Breeding Population and Habitat of Black-tailed Gulls (Larus crassirostris) on Nando Island, Natural Monument

Miran Kim; Young-Soo Kwon; Ki-baek Nam; Ho Lee; Hyeon-Ho Myeong; Hyung Soo Noh


Journal of Ecology and Environment | 2013

Difference in Black-tailed Gull (Larus crassirostris) diet during the breeding season for the last 10 years in the South Sea of Korea

Young-Soo Kwon; Hyung Soo Noh; Miran Kim

Collaboration


Dive into the Young-Soo Kwon's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Tae-Soo Chon

Pusan National University

View shared research outputs
Top Co-Authors

Avatar

Miran Kim

National Park Service

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Mi-Young Song

Pusan National University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge