Consejo Superior de Investigaciones Científicas (CSIC), Instituto de Investigaciones Marinas (IIM), C/Eduardo Cabello 6, 36208 Vigo, Spain.
Consejo Superior de Investigaciones Científicas (CSIC), Instituto de Investigaciones Marinas (IIM), C/Eduardo Cabello 6, 36208 Vigo, Spain.
Sci Total Environ. 2021 Jun 25;775:145020. doi: 10.1016/j.scitotenv.2021.145020. Epub 2021 Feb 12.
Forecasting of climate change impacts on marine aquaculture production has become a major research task, which requires taking into account the biases and uncertainties arising from ocean climate models in coastal areas, as well as considering culture management strategies. Focusing on the suspended mussel culture in the NW Iberian coastal upwelling system, we simulated current and future mussel growth by means of a multistructural net production Dynamic Energy Budget (DEB) model. We considered two scenarios and three ocean climate models to account for climate uncertainty, and applied a bias correction to the climate models in coastal areas. Our results show that the predicted impact of climate change on mussel growth is low compared with the role of the seeding time. However, the response of mussels varied across climate models, ranging from a minor growth decline to a moderate growth increase. Therefore, this work confirms that an accurate forecasting of climate change impacts on shellfish aquaculture should take into account the variability linked to both management strategies and climate uncertainty.
对海洋水产养殖生产的气候变化影响进行预测已成为一项主要的研究任务,这需要考虑到沿海地区海洋气候模型产生的偏差和不确定性,同时还要考虑养殖管理策略。本研究以西北伊比利亚沿海上升流系统中的悬浮贻贝养殖为例,通过多结构网养殖动态能量预算(DEB)模型模拟了当前和未来贻贝的生长情况。研究考虑了两种情景和三种海洋气候模型来考虑气候不确定性,并对沿海地区的气候模型进行了偏差修正。结果表明,与播种时间相比,气候变化对贻贝生长的预测影响较小。然而,贻贝对气候模型的响应存在差异,从轻微的生长下降到适度的生长增加。因此,这项工作证实,准确预测气候变化对贝类养殖的影响应考虑到与管理策略和气候不确定性相关的变异性。