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Comparing stream-specific to generalized temperature models to guide salmonid management in a changing climate

机译:将流特异性与广义温度模型进行比较,以引导鲑鱼类在变化的气候中

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Global climate change is predicted to increase air and stream temperatures and alter thermal habitat suitability for growth and survival of coldwater fishes, including brook charr (Salvelinus fontinalis), brown trout (Salmo trutta), and rainbow trout (Oncorhynchus mykiss). In a changing climate, accurate stream temperature modeling is increasingly important for sustainable salmonid management throughout the world. However, finite resource availability (e.g. funding, personnel) drives a tradeoff between thermal model accuracy and efficiency (i.e. cost-effective applicability at management-relevant spatial extents). Using different projected climate change scenarios, we compared the accuracy and efficiency of stream-specific and generalized (i.e. region-specific) temperature models for coldwater salmonids within and outside the State of Michigan, USA, a region with long-term stream temperature data and productive coldwater fisheries. Projected stream temperature warming between 2016 and 2056 ranged from 0.1 to 3.8 degrees C in groundwater-dominated streams and 0.2-6.8 degrees C in surface-runoff dominated systems in the State of Michigan. Despite their generally lower accuracy in predicting exact stream temperatures, generalized models accurately projected salmonid thermal habitat suitability in 82% of groundwater-dominated streams, including those with brook charr (80% accuracy), brown trout (89% accuracy), and rainbow trout (75% accuracy). In contrast, generalized models predicted thermal habitat suitability in runoff-dominated streams with much lower accuracy (54%). These results suggest that, amidst climate change and constraints in resource availability, generalized models are appropriate to forecast thermal conditions in groundwater- dominated streams within and outside Michigan and inform regional-level salmonid management strategies that are practical for coldwater fisheries managers, policy makers, and the public. We recommend fisheries professionals reserve resource-intensive stream-specific models for runoff-dominated systems containing high-priority fisheries resources (e.g. trophy individuals, endangered species) that will be directly impacted by projected stream warming.
机译:预计全球气候变化将增加空气和流气温,并改变冷水鱼类生长和生存的热栖息地适合,包括布鲁克查克(Salvelinus Fontinalis),棕色鳟鱼(Salmo Trutta)和彩虹鳟鱼(Oncorhynchus mykiss)。在变化的气候中,精确的流温度造型对于全世界的可持续鲑鱼管理越来越重要。但是,有限资源可用性(例如资金,人员)驱动热模型精度和效率之间的权衡(即在管理相关的空间范围内的经济有效适用性)。使用不同的预计气候变化方案,我们比较了密歇根州密歇根州的冷水鲑鱼的流特异性和广义(即地区特异性)温度模型的准确性和效率,其中包括长期流温度数据和生产冷水渔业。 2016年和2056之间的预计流温度在地下水主导的流中的0.1至3.8摄氏度范围为0.1至3.8摄氏度,在密歇根州的地表径流主导系统中为0.2-6.8摄氏度。尽管预测精确流温度普遍较低,但广义模型在82%的地下水主导的流中准确地投影了鲑鱼热栖息地适合性,包括带有Brook Charr(精度),棕色鳟鱼(精度为89%)和彩虹鳟鱼的那些(75%的准确性)。相比之下,广义模型在径流主导的流中预测了热栖息地适用性,精度低得多(54%)。这些结果表明,在资源可用性的气候变化和限制中,广义模型适用于密歇根州内外的地下水主导流中的热条件,并告知冷水渔业管理者,政策制定者实际的区域级鲑鱼管理策略,和公众。我们建议渔业专业人士预留资源密集型流专用模型,用于纳入级联系统,其中包含高优先级渔业资源(例如奖杯个体,濒危物种),这将由投影流暖线直接影响。

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