Bergström Per, Thorngren Linnea, Lindegarth Mats
Department of Marine Sciences - Tjärnö University of Gothenburg Tjärnö Sweden.
Ecol Evol. 2022 May 15;12(5):e8925. doi: 10.1002/ece3.8925. eCollection 2022 May.
Marine coastal areas are increasingly affected by human activities resulting in changes in species and habitat distributions. Understanding these patterns and its causes and consequences is important for conservation and restoration of such changing habitats. One habitat that has been heavily affected by human use are the North Sea oyster beds which once were abundant but have lost large parts of its coastal distribution due to overexploitation. Based on data of living and dead assemblages of collected using video transects, we used an ensemble modeling technique to model and predict current and recent distribution of . along the Swedish west coast where its distribution is, in relative terms, still rather unaffected. We could detect a recent change in the distribution of . along the coast which to a large extent could be attributed to a change in depth distribution, suggesting that the population of . have a slightly shallower distribution today than in the past. Although a potential mismatch between living and dead assemblages, caused by a complex combination of biological and environmental conditions, needs to be considered in the interpretations drawn, it may be a way around the lack of suitable background data in management decisions. This provides important information for management and conservation of the native oyster beds. Furthermore, this study illustrates a method for identifying recent changes in species distribution using dead assemblages of bivalves.
海洋沿海地区正日益受到人类活动的影响,导致物种和栖息地分布发生变化。了解这些模式及其成因和后果,对于保护和恢复这些不断变化的栖息地至关重要。北海牡蛎床是一个受到人类利用严重影响的栖息地,它曾经数量众多,但由于过度开发,其沿海分布已失去了很大一部分。基于使用视频断面收集的活体和死亡组合数据,我们采用了一种集成建模技术,对瑞典西海岸相对分布仍未受太大影响的某物种的当前和近期分布进行建模和预测。我们能够检测到该物种在沿海地区分布的近期变化,这在很大程度上可归因于深度分布的变化,表明该物种如今的分布深度比过去略浅。尽管在得出的解释中需要考虑由生物和环境条件的复杂组合导致的活体和死亡组合之间潜在的不匹配,但这可能是解决管理决策中缺乏合适背景数据问题的一种方法。这为本地牡蛎床的管理和保护提供了重要信息。此外,本研究说明了一种利用双壳类动物死亡组合来识别物种分布近期变化的方法。