Yeom Jaehoon, Kim Sang Don
School of Environment and Energy Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
PLoS One. 2025 Jun 3;20(6):e0321571. doi: 10.1371/journal.pone.0321571. eCollection 2025.
Fish biomass estimation is crucial for understanding aquatic ecosystem dynamics and managing fisheries resources effectively. This study evaluated the applicability of estimating fish biomass in Korean aquatic ecosystems using literature-derived General Total Length (GTL) and length-weight relationships (LWRs). We compared the estimated biomasses with measured field biomasses from literatures for freshwater and seawater fish species. Data on individual biomass, habitat, and length-weight coefficients were collected from the literature and databases for 245 fish species. Biomass was estimated using the GTL and representative LWR coefficients and then they were compared to the measured field biomasses from literature. The results showed that this estimation method was applicable only to freshwater species (R² = 0.7133), whereas the estimates for seawater species showed a poor correlation (negative R² values). The removal of outliers (Q > 6) improved the estimation accuracy for the freshwater species. This study demonstrates that literature-based biomass estimation using GTL and LWRs is appropriate for freshwater fish in Korea, but not for seawater species. These findings contribute to the generation of fundamental biomass data for ecosystem modeling and highlight the need for habitat-specific approaches for biomass estimation. Since habitat specific biomass data is deficient, future research should explore biomass estimation through species extrapolation to address data gaps in aquatic ecological studies.
鱼类生物量估计对于理解水生生态系统动态以及有效管理渔业资源至关重要。本研究评估了利用文献得出的总长度(GTL)和体长-体重关系(LWRs)来估计韩国水生生态系统中鱼类生物量的适用性。我们将估计的生物量与文献中淡水和海水鱼类物种的实测野外生物量进行了比较。从文献和数据库中收集了245种鱼类的个体生物量、栖息地和体长-体重系数数据。利用GTL和代表性的LWR系数估计生物量,然后将其与文献中的实测野外生物量进行比较。结果表明,这种估计方法仅适用于淡水物种(R² = 0.7133),而海水物种的估计显示相关性较差(R²值为负)。去除异常值(Q > 6)提高了淡水物种的估计准确性。本研究表明,利用GTL和LWRs基于文献的生物量估计适用于韩国的淡水鱼类,但不适用于海水物种。这些发现有助于生成用于生态系统建模的基础生物量数据,并突出了针对特定栖息地的生物量估计方法的必要性。由于特定栖息地的生物量数据不足,未来的研究应通过物种外推探索生物量估计,以解决水生生态研究中的数据缺口。