인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2025.1
- 수록면
- 386 - 402 (17page)
- DOI
- https://doi.org/10.15681/kswe.2025.41.5.386
이용수
초록· 키워드
This study examined the relationship between community indices and area for benthic macroinvertebrates across different mesohabitats (riffle, run, pool, riparian) in the Jojong Stream, Gyeonggi Province, Korea, utilizing four non-probabilistic and fifteen probabilistic distribution models. Rarefaction-based estimates of expected species richness revealed significant discrepancies from observed values in smaller survey areas, indicating potential distortions in ecological interpretation. Most community indices-including species richness, abundance, diversity, dominance, evenness, and the benthic macroinvertebrate (BMI) saprobic index-varied with sampling area. Specifically, species richness and abundance consistently increased with area, while diversity and dominance tended to align even at smaller scales. In riffle habitats, BMI appeared relatively unaffected by area. Although the four-parameter generalized logistic power function showed a high overall fit, its complexity and risk of overfitting limit its practical application. In contrast, three-parameter models such as lognormal, Weibull, inverse Weibull, gamma, and generalized exponential distributions provided comparable accuracy with greater efficiency. The estimated habitat carrying capacity for species diversity was highest in main channel flows and riffles. Additionally, differential entropy indicated high heterogeneity in main channels and riparian zones, attributed to complex environmental factors such as substrate variability and vegetation. To accurately assess species-area relationships and habitat capacity at the site level, increased sampling effort is necessary. The lognormal model exhibited the highest accuracy, suggesting that larger stream systems support greater biodiversity, particularly where spatial heterogeneity enhances ecological richness.
#Benthic macroinvertebrates
#Community index
#Habitat carrying capacity
#Habitat heterogeneity
#Mesohabitat
#Probability distribution model
#Sample size
#Survey area
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