University of Sassari, Sassari, Italy.
Environmental Research and Conservation, MareTerra Onlus, Alghero, Italy.
PeerJ. 2023 Sep 28;11:e16111. doi: 10.7717/peerj.16111. eCollection 2023.
Sustainable management requires spatial mapping of both species distribution and human activities to identify potential risk of conflict. The common bottlenose dolphin () is a priority species of the European Union Habitat Directive, thus, to promote its conservation, the understanding of habitat use and distribution, as well as the identification and spatial trend of the human activities which may directly affect populations traits, is pivotal.
A MaxEnt modeling approach was applied to predict the seasonal (from April to September) habitat use of a small of bottlenose dolphins in the north-western Sardinia (Mediterranean Sea) in relation to environmental variables and the likelihoods of boat and fishing net presence. Then, the overlapping areas between dolphin, fishing net and boat presence were identified to provide insights for the marine spatial management of this area.
Three of the main factors influencing the seasonal distribution of bottlenose dolphins in the area are directly (boating and fishing) or indirectly (ocean warming) related to human activities. Furthermore, almost half of the most suitable area for dolphins overlapped with areas used by fishing and boating. Finally, relying on fishing distribution models, we also shed light on the potential impact of fishing on the beds, a protected habitat, which received higher fishing efforts than other habitat types.
Modelling the spatial patterns of anthropogenic activities was fundamental to understand the ecological impacts both on cetacean habitat use and protected habitats. A greater research effort is suggested to detect potential changes in dolphin habitat suitability, also in relation to ocean warming, to assess dolphin bycatch and the status of target fish species, and to evaluate sensitive habitats conditions, such as the meadow.
可持续管理需要对物种分布和人类活动进行空间映射,以识别潜在的冲突风险。宽吻海豚()是欧盟栖息地指令的优先物种,因此,为了促进其保护,了解栖息地利用和分布情况,以及确定可能直接影响种群特征的人类活动,并分析其空间趋势,是至关重要的。
应用最大熵模型方法来预测西北撒丁岛(地中海)小群宽吻海豚在四月至九月期间的季节性栖息地利用情况,同时考虑环境变量和船只及渔网存在的可能性。然后,确定海豚、渔网和船只存在的重叠区域,为该地区的海洋空间管理提供见解。
影响该地区宽吻海豚季节性分布的三个主要因素直接(船只和捕鱼)或间接(海洋变暖)与人类活动有关。此外,近一半最适合海豚的区域与捕鱼和船只使用区域重叠。最后,根据渔业分布模型,我们还揭示了渔业活动对受保护栖息地——海草床的潜在影响,该栖息地比其他栖息地类型受到更高的渔业捕捞力度。
对人为活动的空间模式进行建模对于理解人类活动对鲸目动物栖息地利用和保护栖息地的生态影响至关重要。建议加大研究力度,以检测海豚栖息地适宜性的潜在变化,包括海洋变暖的影响,评估海豚的误捕情况和目标鱼类的状况,以及评估敏感栖息地的状况,如海草床。