首页> 外文期刊>Estuarine Coastal and Shelf Science >Tolerance landscapes can be used to predict species-specific responses to climate change beyond the marine heatwave concept: Using tolerance landscape models for an ecologically meaningful classification of extreme climate events
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Tolerance landscapes can be used to predict species-specific responses to climate change beyond the marine heatwave concept: Using tolerance landscape models for an ecologically meaningful classification of extreme climate events

机译:公差景观可用于预测对海洋热风概念超出气候变化的物种特定响应:使用公差景观模型进行生态有意义的极端气候事件分类

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To predict the responses of organisms to changes in intensity and frequency of heatwaves, it is essential to gain a thorough understanding of how organisms respond to temperature exposure. Species-specific curves are more informative, yet more difficult to ascertain, than the generic heatwave definition (five days or more at a temperature above the 90% percentile) when addressing mortality risk and should be included when predicting thermal risks. The thermal tolerance of organisms is dictated by a combination of exposure intensity and duration: the aim of this study was to build a ‘tolerance landscape’ model, based on exposure thresholds to a potentially stressful temperature range, for the commercially important clam Ruditapes philippinarum using ten years of summer temperature time series in four lagoons in the Northern Adriatic, where this species is being commercially farmed. The model is based on a log-linear relationship between LT50 and exposure time. The two model parameters, i.e. the lethal temperature at 1 min exposure (CTmax), and the temperature sensitivity parameter (z) were estimated on the basis of a systematic literature search. Best-fitting values, i.e. CTmax = 54.5 (±2.3) and z = - 5.72 °C (±0.66) are within the ranges found for other bivalves. Results show that the mortality threshold was exceeded for most lagoons in summertime in 2015, 2017 and 2018 suggesting that the risk of exceeding the mortality threshold is increasing, due to an increase in frequency and duration of extreme temperature events. Comparisons with the generic ‘marine heatwave’ definition showed that, while in some occasions ‘heatwaves’ occurred that were not risky for R. philippinarum, in one case the model identified a time period of mortality risk that would not have been classified under the generic ‘heatwave’ definition. These mismatches suggest that tolerance curves can be a good addition to productivity and site selection models, incorporating a metric of species-specific risk that can be used to predict the consequences of climate change on fishery and aquaculture, and can find their place in conservation and restoration toolkits for forecasting changes in habitat suitability under future climate scenarios.
机译:为了预测生物体对热浪强度和频率变化的反应,必须彻底了解生物体如何应对温度暴露。物种特异性曲线更具信息丰富,更难以在解决死亡率风险时比通用热波定义(在90%百分位高于90%百分位数的温度上超过90%以上),并且应在预测热风险时包括。生物体的热耐受性由曝光强度和持续时间的组合决定:本研究的目的是基于潜在压力温度范围的曝光阈值来构建“公差景观”模型,用于商业上重要的蛤鲁托普菲律宾利用十年的夏季温度时间序列在北亚德里亚人的四个泻湖中,这种物种正在商业养殖。该模型基于LT50与曝光时间之间的对数线性关系。基于系统文献搜索,估计了两个模型参数,即1分钟暴露(CTmax)和温度敏感性参数(Z)的致命温度。最佳拟合值,即CTmax = 54.5(±2.3)和Z = - 5.72°C(±0.66)在为其他双抗体的范围内。结果表明,2015年夏季大多数泻湖的死亡率阈值超过2017年,2018年,旨在由于极端温度事件的频率和持续时间增加,超过死亡率阈值的风险增加。与通用“海洋热浪”定义的比较表明,在某些情况下发生了对菲律宾没有风险的“热浪”,在一个案例中,该模型确定了在通用下未被归类的死亡风险的时间段'热浪'定义。这些不匹配表明,公差曲线可以是生产力和站点选择模型的良好补充,其中包含可用于预测渔业和水产养殖的气候变化的后果的物种特定风险的度量,并且可以在保护中找到他们的保护和恢复工具包,用于预测未来气候情景下栖息地适用性的变化。

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