Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, via Torino 155, 30172 Mestre-Venezia, Italy.
Department of Comparative Biomedicine and Food Science, University of Padova, Viale dell'Università 16, 35020 Legnaro, Padova, Italy.
Mar Pollut Bull. 2023 Dec;197:115668. doi: 10.1016/j.marpolbul.2023.115668. Epub 2023 Nov 2.
Aquaculture productivity in coastal lagoons is endangered by a complex interplay of anthropogenic and environmental factors, amplified by the effects of climate change in these sensitive areas. To reach a more comprehensive assessment of farming sites quality, a quantitative Weight of Evidence approach (QWoE) is applied for the first time to data collected at four Manila clam (R. philippinarum) farming sites in the Venice lagoon (Italy). This included sediment quality, chemical bioaccumulation, and biological responses. Results revealed a greater hazard for sites closer to the open sea. In these areas, the combination of sediment characteristics and a higher frequency of salinity and temperature stress could explain the alterations measured at a transcriptional and biomarker level. The findings demonstrate that a QWoE approach that integrates multiple sources of evidence should also include physicochemical conditions in order to better understand the impacts of human activities and other stressors on clam aquaculture productivity.
沿海泻湖的水产养殖生产力受到人为和环境因素的复杂相互作用的威胁，气候变化在这些敏感地区的影响加剧了这种威胁。为了更全面地评估养殖场地的质量，首次将证据权重定量方法 (QWoE) 应用于在威尼斯泻湖 (意大利) 的四个菲律宾蛤仔 (R. philippinarum) 养殖场收集的数据。这些数据包括沉积物质量、化学生物累积和生物反应。结果表明，靠近公海的养殖场面临更大的危险。在这些地区，沉积物特征的组合以及更高频率的盐度和温度胁迫可以解释在转录和生物标志物水平上测量到的变化。研究结果表明，一种将多种证据来源整合在一起的 QWoE 方法还应该包括物理化学条件，以便更好地了解人类活动和其他胁迫因素对蛤仔水产养殖生产力的影响。
