Foveau Aurélie, Vaz Sandrine, Desroy Nicolas, Kostylev Vladimir E
Laboratoire Environnement et Ressources Bretagne Nord, Ifremer, Dinard, France.
UMR MARBEC, Ifremer, Sète, France.
PLoS One. 2017 Oct 5;12(10):e0184486. doi: 10.1371/journal.pone.0184486. eCollection 2017.
The increase of anthropogenic pressures on the marine environment together with the necessity of a sustainable management of marine living resources have underlined the need to map and model coastal environments, particularly for the purposes of spatial planning and for the implementation of integrated ecosystem-based management approach. The present study compares outputs of a process-driven benthic habitat sensitivity (PDS) model to the structure, composition and distribution of benthic invertebrates in the Eastern English Channel and southern part of the North Sea. Trawl disturbance indicators (TDI) computed from species biological traits and benthic community composition were produced from samples collected with a bottom trawl. The TDI was found to be highly correlated to the PDS further validating the latter's purpose to identify natural process-driven pattern of sensitivity. PDS was found to reflect an environmental potential that may no longer be fully observable in the field and difference with in situ biological observations could be partially explained by the spatial distribution of fishery pressure on the seafloor. The management implication of these findings are discussed and we suggest that, used in conjunction with TDI approaches, PDS may help monitor management effort by evaluating the difference between the current state and the presumed optimal environmental status of marine benthic habitats.
人为对海洋环境压力的增加，以及对海洋生物资源进行可持续管理的必要性，凸显了绘制沿海环境地图和建立模型的需求，特别是出于空间规划目的以及实施基于生态系统的综合管理方法。本研究将一个过程驱动的底栖生境敏感性（PDS）模型的输出结果，与东英吉利海峡和北海南部底栖无脊椎动物的结构、组成和分布进行了比较。根据用底拖网采集的样本，得出了从物种生物学特征和底栖生物群落组成计算出的拖网干扰指标（TDI）。发现TDI与PDS高度相关，进一步验证了PDS识别自然过程驱动的敏感性模式的目的。发现PDS反映了一种在实地可能不再完全可观测到的环境潜力，与现场生物学观测的差异可部分归因于海底渔业压力的空间分布。讨论了这些发现对管理的启示，我们建议，与TDI方法结合使用时，PDS可通过评估海洋底栖生境当前状态与假定最佳环境状态之间的差异，帮助监测管理工作。
