Scholarlink

<p>The deployment of artificial reefs (ARs) can reshape species distributions and ecological niches, yet assessments are often limited by single data sources and modelling approaches. We investigated the rockfish (<i>Sebastes</i> spp.) in northern China (2019–2023) using an integrated framework that combines ensemble species distribution models (SDMs), ecological niche modelling and environmental DNA data (eDNA). Two SDMs were developed: model 1, based on trap-derived species presence and environment data (2019–2022) and model 2, which incorporated both trap data and eDNA with corresponding environmental variables (2019–2023). External extrapolation tests were used to select the best-performing model and then generate spatial species suitability values for ecological niche modelling. Under the extrapolation, model 2, which integrated eDNA, outperformed the trap-only model with reduced mean absolute error (MAE) and root mean square error (RMSE) by 19% and 33%, respectively. Distance to reefs was evaluated as the dominant predictor, and spatiotemporal projections revealed progressive contraction of rockfish distributions towards ARs, with high-density hotspots stabilizing within 1000&#xa0;m by 2023. Ecological niche comparisons between the early post-deployment baseline (2019) and subsequent years (2020–2023) showed a moderate but declining overlap indicator of ecological niche and greater retreat from the 2019 environmental space, indicating a spatial contraction into reef-associated conditions driven by niche conservatism. Specifically, the species aggregated into a subset of their original niche without expanding into novel environments, maintaining high niche stability despite reduced geographic overlap into novel environments. Our SDM-eDNA-niche modelling framework provides a transferable approach to quantifying AR effects on reef-dependent species and supports spatially explicit, adaptive fisheries management that prioritizes reef-influence zones while enabling sustainable use of other marine ecosystems.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Effects of artificial reefs on the spatial and temporal distribution and ecological niche dynamics of rockfish (Sebastes spp.): an integrated analysis using environmental DNA and species distribution models

  • 期刊论文

  • 发表日期：

    2026年7月7日

查看全文
  • Yongjun Shang,
  • Haolin Yu,
  • Liyou Zhang,
  • Tao Zhang,
  • Yanli Tang

摘要

The deployment of artificial reefs (ARs) can reshape species distributions and ecological niches, yet assessments are often limited by single data sources and modelling approaches. We investigated the rockfish (Sebastes spp.) in northern China (2019–2023) using an integrated framework that combines ensemble species distribution models (SDMs), ecological niche modelling and environmental DNA data (eDNA). Two SDMs were developed: model 1, based on trap-derived species presence and environment data (2019–2022) and model 2, which incorporated both trap data and eDNA with corresponding environmental variables (2019–2023). External extrapolation tests were used to select the best-performing model and then generate spatial species suitability values for ecological niche modelling. Under the extrapolation, model 2, which integrated eDNA, outperformed the trap-only model with reduced mean absolute error (MAE) and root mean square error (RMSE) by 19% and 33%, respectively. Distance to reefs was evaluated as the dominant predictor, and spatiotemporal projections revealed progressive contraction of rockfish distributions towards ARs, with high-density hotspots stabilizing within 1000 m by 2023. Ecological niche comparisons between the early post-deployment baseline (2019) and subsequent years (2020–2023) showed a moderate but declining overlap indicator of ecological niche and greater retreat from the 2019 environmental space, indicating a spatial contraction into reef-associated conditions driven by niche conservatism. Specifically, the species aggregated into a subset of their original niche without expanding into novel environments, maintaining high niche stability despite reduced geographic overlap into novel environments. Our SDM-eDNA-niche modelling framework provides a transferable approach to quantifying AR effects on reef-dependent species and supports spatially explicit, adaptive fisheries management that prioritizes reef-influence zones while enabling sustainable use of other marine ecosystems.