Faculty of Food Science and Fisheries, Department of Meat Science, West Pomeranian University of Technology, Szczecin, Poland.
Faculty of Civil Engineering and Geodesy, Institute of Geospatial Engineering and Geodesy, Military University of Technology, Warsaw, Poland.
Transbound Emerg Dis. 2022 Sep;69(5):e2341-e2350. doi: 10.1111/tbed.14577. Epub 2022 May 10.
Climate change will expose the food-producing sector to a range of challenges. Inland aquaculture farms are particularly vulnerable, due to the difficulty in changing their location, and therefore require specific tools to predict the influence of direct and indirect effects on production, environment and economic feasibility. The objective of our study was to apply a simple set of models to produce a set of growth, risk and suitability maps for stakeholders within the common carp sector in Poland, to assist decision-making under two different scenarios of climate change: a moderate situation (RCP 4.5) and an extreme situation (RCP 8.5). We used present (2000-2019) and future projections (2080-2099) for water surface temperature based on land surface temperature data from regionally downscaled climate models to draw maps to: (i) show optimal temperature conditions for carp growth, (ii) assess risk of disease outbreak caused by three important common carp pathogens: Cyprinid herpesvirus 3 (CyHV-3), carp oedema virus (CEV) and spring viremia of carp (SVCV) and (iii) predict potential suitability changes of carp farming in Poland. The study identified areas with the most and least favourable temperature conditions for carp growth, as well as those areas with the highest/lowest number of days with suitable temperatures for virus infection. These suitability maps showed the combined effect of direct and indirect effects of climate change projections under RCP 8.5 and RCP 4.5 scenarios. The approach applied herein will be of use worldwide for analysing the risks of temperature increase to land-based aquaculture, and the results presented are important for carp farmers in Poland and elsewhere, industry in general, and government stakeholders, to understand the direct and indirect effects of climate change on the triple bottom line of people, planet, and profit.
气候变化将使粮食生产部门面临一系列挑战。内陆水产养殖农场尤其脆弱,因为改变其位置困难,因此需要特定的工具来预测直接和间接影响对生产、环境和经济可行性的影响。我们的研究目的是应用一组简单的模型,为波兰鲤鱼产业的利益相关者生成一组生长、风险和适宜性地图,以协助在两种不同的气候变化情景下做出决策:一种是中度情景(RCP 4.5),另一种是极端情景(RCP 8.5)。我们使用基于区域降尺度气候模型的陆面温度数据的当前(2000-2019 年)和未来(2080-2099 年)水面温度预测来绘制地图,以:(i)展示鲤鱼生长的最佳温度条件,(ii)评估三种重要鲤鱼病原体:鲤疱疹病毒 3(CyHV-3)、鲤鱼水肿病毒(CEV)和鲤鱼春病毒血症(SVCV)引起的疾病爆发风险,以及(iii)预测波兰鲤鱼养殖的潜在适宜性变化。该研究确定了最适合和最不适合鲤鱼生长的区域,以及最适合和最不适合病毒感染的温度条件的天数最多和最少的区域。这些适宜性地图显示了 RCP 8.5 和 RCP 4.5 情景下气候变化预测的直接和间接影响的综合效应。本文应用的方法将对全球分析温度升高对陆地水产养殖的风险有用,所呈现的结果对波兰和其他地区的鲤鱼养殖户、整个行业以及政府利益相关者都很重要,以了解气候变化对人类、地球和利润的三重底线的直接和间接影响。