Seoghyun Kim

Dr. Seoghyun Kim

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Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 November 2021 in Proceedings of the National Academy of Sciences
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Journal Article
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ATAkira Terui
Akira Terui
SKSeoghyun Kim
Seoghyun Kim
CDChristine L. Dolph
Christine L. Dolph
TKTaku Kadoya
Taku Kadoya
YMYusuke Miyazaki
Yusuke Miyazaki
Significance: Larger ecosystems support more species; this ubiquitous pattern is the foundation of current conservation schemes. However, many ecosystems possess a complex spatial structure that cannot be represented by area, and the role of such complexity in regulating biodiversity patterns is largely unknown. Here, we use theory and extensive fish community data to show that ecosystem size and complexity dictate riverine biodiversity. We found that larger and more branched “complex” river networks harbored greater species richness due to increased space and environmental heterogeneity. The complexity effect was comparable to the size effect, and this pattern has emerged regardless of ecological contexts. Our discovery illustrates a fundamental ecological law in complex ecosystems, laying the groundwork for future research exploring macroecological patterns.

7 November 2020 in Journal of Animal Ecology
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Journal Article
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KFKurt D. Fausch
Kurt D. Fausch
SNShigeru Nakano
Shigeru Nakano
SKSatoshi Kitano
Satoshi Kitano
YKYoichiro Kanno
Yoichiro Kanno
SKSeoghyun Kim
Seoghyun Kim


28 August 2021 in Freshwater Biology
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Journal Article
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ATAkira Terui
Akira Terui
SKSeoghyun Kim
Seoghyun Kim
KPKasey C. Pregler
Kasey C. Pregler
YKYoichiro Kanno
Yoichiro Kanno

22 November 2022 in Oikos
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Journal Article
Open access
YKYoichiro Kanno
Yoichiro Kanno
SKSeoghyun Kim
Seoghyun Kim
KPKasey C. Pregler
Kasey C. Pregler
Animals experience seasonally changing conditions in temperate regions, thus population vital rates change seasonally. However, knowledge is lacking on patterns of seasonal correlation between growth and survival in sympatric ectotherms, and this knowledge gap limits our understanding of environmental change impacts on animal populations and communities. Here, we investigated sub‐seasonal (two‐month intervals) correlation between growth and survival in three stream fishes (bluehead chub Nocomis leptocephalus , creek chub Semotilus atromaculatus and mottled sculpin Cottus bairdii ) in South Carolina, USA, via a mark–recapture survey over 28 months. We found that patterns of temporal correlation between the population vital rates differed among the sympatric species. Growth increased and survival decreased with water temperature in two eurythermal species, resulting in negative correlation between growth and survival. Growth peaked in sub‐seasons with an intermediate water temperature range in a third stenothermal species, while survival decreased with water temperature for this species too. Consequently, there was not significant negative or positive correlation between sub‐seasonal growth and survival in the stenothermal species. Body condition (weight at given length) decreased from May through November in all three species, providing a potential physiological explanation for why survival rates were lower during this period. Negative correlation among population vital rates stabilizes population size over time and buffers animal populations from environmental change because the vital rates are not affected simultaneously in the same direction, indicating some degree of resiliency in the face of climate changes in the two eurythermal species. However, such a demographic mechanism of resiliency could be maintained so long as climate warming does not exceed optimal growth temperature, above which negative correlation between growth and survival may no longer be maintained.

24 January 2022 in Ecography
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SKSeoghyun Kim
Seoghyun Kim
CDChristine L. Dolph
Christine L. Dolph
ATAkira Terui
Akira Terui
Positive biotic interactions are recognized as important factors determining species distributions. Although effects of positive interactions have often been observed at local scales, much less is known about consequences at larger spatial scales. Here, we study nest associations of stream fishes – widespread reproductive facilitation between host (nest‐builder) and beneficiary (nest associate) species in North America – as a model system to examine the role of positive interactions in determining the metapopulation‐level relationship between host and beneficiary species. Using regional data of fish distribution in the Midwestern US, we found that watershed‐level occupancy of host species (i.e. metapopulation occupancy) remarkably increased that of nest associates. Our results illustrated that the effects of positive biotic interactions at the metapopulation level were comparable or even stronger than environmental drivers, i.e. factors that have been studied most extensively in metapopulation studies. Further, our model supported the hypothesis that the metapopulation‐level relationship between hosts and nest associates was mediated by a gradient of environmental conditions: strong associations occurred under stressful habitats. This study provides insightful evidence that positive biotic interactions have larger scale consequences for distributions of organisms than previously thought. Successful biodiversity conservation may need a broader framework that appreciates the role of positive biotic interactions at larger spatial scales.