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Simulated juvenile salmon growth and phenology respond to altered thermal regimes and stream network shape

机译:模拟的鲑鱼幼鱼生长和物候学对热态和河网形状的变化做出响应

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摘要

It is generally accepted that climate change will stress coldwater species like Pacific salmon. However, it is unclear what aspect of altered thermal regimes (e.g., warmer winters, springs, summers, or increased variability) will have the greatest effect, and what role the spatial properties of river networks play. Thermally diverse habitats may afford protection from climate change by providing opportunities for aquatic organisms to find and use habitats with optimal conditions for growth. We hypothesized that climate-altered thermal regimes will change growth and timing of life history events such as emergence or migration but that changes will be moderated in topologically complex stream networks where opportunities to thermoregulate are more readily available to mobile animals. Because climate change effects on populations are spatially variable and contingent upon physiological optima, assessments of risk must take a spatially explicit approach. We developed a spatially-structured individual based model for Chinook Salmon (Oncorhynchus tshawytscha) in which movement decisions and growth were governed by water temperature and conspecific density. We evaluated growth and phenology (timing of egg emergence and smolting) under a variety of thermal regimes (each having a different minimum, rate of warming, maximum, and variability) and in three network shapes of increasing spatial complexity. Across networks, fish generally grew faster and were capable of smolting earlier in warmer scenarios where water temperatures experienced by fish were closer to optimal; however, growth decreased for some fish. We found that salmon size and smolt date responded more strongly to warmer springs and summers than to warmer winters or increased variability. Fish in the least complex network grew faster and were ready to smolt earlier than fish in the more spatially complex network shapes in the contemporary thermal regime; patterns were similar but less clear in warmer thermal regimes. Our results demonstrate that network topology may influence how fish respond to thermal landscapes, and this information will be useful for incorporating a spatiotemporal context into conservation decisions that promote long-term viability of salmon in a changing climate.
机译:人们普遍认为,气候变化将给太平洋鲑鱼等冷水物种带来压力。但是,尚不清楚改变热力状况的哪些方面(例如,冬季,春季,夏季或变率增加)会产生最大的影响,以及河网的空间特性起什么作用。通过为水生生物提供寻找和利用具有最佳生长条件的栖息地的机会,热力多样的栖息地可以抵御气候变化。我们假设气候改变后的热态将改变生命历史事件(例如出现或迁徙)的增长和时间,但在拓扑复杂的河流网络中将缓和这种变化,在这些网络中温度调节的机会更容易提供给活动动物。由于气候变化对种群的影响在空间上是可变的,并且取决于生理上的最佳状态,因此风险评估必须采用空间上明确的方法。我们为奇努克鲑鱼(Oncorhynchus tshawytscha)开发了一种基于空间结构的个体模型,该模型的运动决策和生长受水温和同种密度的控制。我们在各种热态(每种都有不同的最小值,升温速率,最大值和可变性)下以及在三种网络形状增加了空间复杂性的情况下,评估了它们的生长和物候学(卵出苗和发臭的时间)。在整个网络中,鱼类的生长速度通常更快,并且能够在较温暖的情况下较早地进行熏制,因为在这种情况下,鱼类所经历的水温接近最佳水平。但是,某些鱼类的生长下降。我们发现鲑鱼的大小和软体动物对春季和夏季温暖的反应比对冬季温暖或变异性增加的反应强烈。最复杂的网络中的鱼类比当代热域中空间复杂的网络形状中的鱼类生长更快,并且更容易早熟。模式相似,但在较热的热态下不太清楚。我们的结果表明,网络拓扑结构可能会影响鱼类对热景观的反应,而该信息将有助于将时空环境纳入保护决策中,从而促进鲑鱼在气候变化中的长期生存能力。

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