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The influence of environmental factors and fishing effort on demersal fish species in Ghanaian waters
Regional Studies in Marine Science ( IF 2.1 ) Pub Date : 2021-05-27 , DOI: 10.1016/j.rsma.2021.101858
Vida Samantha Osei , Graham Forrester , Michelle Naa Kordei Clottey , M. Conor McManus , Jeremy Collie

Disentangling the effects of fishing and the environment on fish abundance and distribution is essential for informing future fisheries management measures. Fishery-independent trawl survey data (8 years data between 1999 and 2016) were examined to test influences of fishing effort and environmental variables (temperature, oxygen salinity) on the spatial distribution of two species groups (5 economically important species and 3 non-commercial species) on the continental shelf of Ghana. Fishing effort influenced year-to-year variability in the abundance of 5 species negatively and 2 species positively, with 1 species unaffected. All species showed significant spatio-temporal associations with temperature, salinity and oxygen levels within the region. We observed some interannual consistency in fish spatial distributions given climatic variables’ correlation; however, some variability appeared to reflect tracking of year-to-year shifts in climatic variables, such as inshore–offshore shifts in goatfish, red pandora and red cornetfish associated with thermal and oxygen shifts. While the habitat models did not entirely explain the variability in these spatiotemporal patterns, overall, both commercially targeted and non-targeted demersal species appeared to be impacted by fishing and the species also track spatial and temporal changes in environmental conditions from year-to-year. Future fisheries management regulations in the region should incorporate spatially resolved measures of fishing effort alongside measures of environmental variables.



中文翻译:

环境因素和捕捞努力量对加纳水域底层鱼类种类的影响

解开捕捞和环境对鱼类丰度和分布的影响对于为未来的渔业管理措施提供信息至关重要。对独立于渔业的拖网调查数据(1999 年至 2016 年间的 8 年数据)进行了检查,以测试捕捞努力量和环境变量(温度、氧盐度)对两个物种组(5 个重要经济物种和 3 个非商业物种)空间分布的影响。种)在加纳大陆架上。捕捞努力量对 5 个物种的丰度年际变化产生负面影响,2 个物种产生积极影响,其中 1 个物种未受影响。所有物种都显示出与该地区温度、盐度和氧气水平的显着时空关联。鉴于气候变量的相关性,我们观察到鱼类空间分布的一些年际一致性;然而,一些变化似乎反映了对气候变量逐年变化的跟踪,例如与热和氧变化相关的山羊鱼、红潘多拉鱼和红角鱼的近海-近海变化。虽然栖息地模型并不能完全解释这些时空模式的变异性,但总体而言,商业目标和非目标底层物种似乎都受到捕鱼的影响,并且该物种还跟踪环境条件的空间和时间变化。 . 该地区未来的渔业管理法规应将空间解析的捕捞努力量与环境变量的量度结合起来。一些变化似乎反映了对气候变量逐年变化的跟踪,例如与热和氧变化相关的山羊鱼、红潘多拉鱼和红角鱼的近海-近海变化。虽然栖息地模型并不能完全解释这些时空模式的变异性,但总体而言,商业目标和非目标底层物种似乎都受到捕鱼的影响,并且该物种还跟踪环境条件的空间和时间变化。 . 该地区未来的渔业管理法规应将空间分辨的捕捞努力量与环境变量的量度结合起来。一些变化似乎反映了对气候变量逐年变化的跟踪,例如与热和氧变化相关的山羊鱼、红潘多拉鱼和红角鱼的近海-近海变化。虽然栖息地模型并不能完全解释这些时空模式的变异性,但总体而言,商业目标和非目标底层物种似乎都受到捕鱼的影响,并且该物种还跟踪环境条件的空间和时间变化。 . 该地区未来的渔业管理法规应将空间分辨的捕捞努力量与环境变量的量度结合起来。虽然栖息地模型并不能完全解释这些时空模式的变异性,但总体而言,商业目标和非目标底层物种似乎都受到捕鱼的影响,并且该物种还跟踪环境条件的空间和时间变化。 . 该地区未来的渔业管理法规应将空间分辨的捕捞努力量与环境变量的量度结合起来。虽然栖息地模型并不能完全解释这些时空模式的变异性,但总体而言,商业目标和非目标底层物种似乎都受到捕鱼的影响,并且该物种还跟踪环境条件的空间和时间变化。 . 该地区未来的渔业管理法规应将空间分辨的捕捞努力量与环境变量的量度结合起来。

更新日期:2021-06-09
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