Detecting fish community structure in open waters using environmental DNA: a case study from the central South China Sea DOI Creative Commons

Ting Chen,

Shuai Zhang, Peiwen Jiang

и другие.

Frontiers in Marine Science, Год журнала: 2025, Номер 12

Опубликована: Март 27, 2025

Monitoring fish diversity in open ocean environments presents substantial challenges, particularly due to the limitations of traditional sampling methods such as trawling, which are costly, labor-intensive, and ineffective for deeper water layers. Environmental DNA (eDNA) technology offers an economical efficient alternative, complementing conventional survey techniques. In this study, eDNA analysis was employed characterize species composition central South China Sea (SCS). Additionally, generalized additive models (GAMs) were applied 5 m 200 depth layers assess influence environmental variables on communities. A total 190 species, spanning 32 orders, 68 families, 135 genera, detected across eight sites. The harbored 184 178 respectively, with 172 common both α-and β-diversity analyses revealed no significant differences or between two depths ( p > 0.05). GAM results highlighted temperature a key driver distribution, effects abundance at < These findings underscore utility monitoring elucidating ecological mechanisms shaping vertical distribution deep-sea ecosystems. Given logistical constraints environments, eDNA-based approaches offer valuable insights sustainable management conservation fishery resources SCS.

Язык: Английский

Detecting fish community structure in open waters using environmental DNA: a case study from the central South China Sea DOI Creative Commons

Ting Chen,

Shuai Zhang, Peiwen Jiang

и другие.

Frontiers in Marine Science, Год журнала: 2025, Номер 12

Опубликована: Март 27, 2025

Monitoring fish diversity in open ocean environments presents substantial challenges, particularly due to the limitations of traditional sampling methods such as trawling, which are costly, labor-intensive, and ineffective for deeper water layers. Environmental DNA (eDNA) technology offers an economical efficient alternative, complementing conventional survey techniques. In this study, eDNA analysis was employed characterize species composition central South China Sea (SCS). Additionally, generalized additive models (GAMs) were applied 5 m 200 depth layers assess influence environmental variables on communities. A total 190 species, spanning 32 orders, 68 families, 135 genera, detected across eight sites. The harbored 184 178 respectively, with 172 common both α-and β-diversity analyses revealed no significant differences or between two depths ( p > 0.05). GAM results highlighted temperature a key driver distribution, effects abundance at < These findings underscore utility monitoring elucidating ecological mechanisms shaping vertical distribution deep-sea ecosystems. Given logistical constraints environments, eDNA-based approaches offer valuable insights sustainable management conservation fishery resources SCS.

Язык: Английский

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