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Seasonal weather patterns drive population vital rates and persistence in a stream fish

机译:季节性天气模式会影响人口的生存率和溪流鱼类的持久性

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Climate change affects seasonal weather patterns, but little is known about the relative importance of seasonal weather patterns on animal population vital rates. Even when such information exists, data are typically only available from intensive fieldwork (e.g., mark-recapture studies) at a limited spatial extent. Here, we investigated effects of seasonal air temperature and precipitation (fall, winter, and spring) on survival and recruitment of brook trout (Salvelinus fontinalis) at a broad spatial scale using a novel stage-structured population model. The data were a 15-year record of brook trout abundance from 72 sites distributed across a 170-km-long mountain range in Shenandoah National Park, Virginia, USA. Population vital rates responded differently to weather and site-specific conditions. Specifically, young-of-year survival was most strongly affected by spring temperature, adult survival by elevation and per-capita recruitment by winter precipitation. Low fall precipitation and high winter precipitation, the latter of which is predicted to increase under climate change for the study region, had the strongest negative effects on trout populations. Simulations show that trout abundance could be greatly reduced under constant high winter precipitation, consistent with the expected effects of gravel-scouring flows on eggs and newly hatched individuals. However, high-elevation sites would be less vulnerable to local extinction because they supported higher adult survival. Furthermore, the majority of brook trout populations are projected to persist if high winter precipitation occurs only intermittently (3 of 5years) due to density-dependent recruitment. Variable drivers of vital rates should be commonly found in animal populations characterized by ontogenetic changes in habitat, and such stage-structured effects may increase population persistence to changing climate by not affecting all life stages simultaneously. Yet, our results also demonstrate that weather patterns during seemingly less consequential seasons (e.g., winter precipitation) can have major impacts on animal population dynamics.
机译:气候变化会影响季节性天气模式,但人们对季节性天气模式对动物种群生命率的相对重要性知之甚少。即使存在这样的信息,数据通常也只能在有限的空间范围内从密集的实地调查(例如,标记夺回研究)中获得。在这里,我们使用新颖的阶段结构种群模型,研究了季节性气温和降水(秋季,冬季和春季)对河鳟(Salvelinus fontinalis)的生存和募集的影响。该数据是15年记录的鳟鱼丰度,这些鳟鱼分布在美国弗吉尼亚州谢南多厄国家公园的170公里长山脉上的72个地点。人口生命率对天气和特定地点条件的反应不同。特别是,春季气温,海拔升高的成年存活率和冬季降水的人均募集对年青人生存的影响最大。秋季低降水量和冬季高降水量(在研究区域,预计后者在气候变化下会增加)对鳟鱼种群的负面影响最大。模拟表明,在冬季持续高降水量的情况下,鳟鱼的丰度可能会大大降低,这与卵石冲刷流对卵和新孵化个体的预期影响是一致的。但是,高海拔地区不易遭受当地物种灭绝的影响,因为它们支持更高的成活率。此外,如果由于密度依赖的招聘而仅间歇地(5年中的3年)出现冬季高降水量,则预计大多数溪鳟鱼种群将持续存在。在以栖息地个体发生变化为特征的动物种群中,通常应该发现生命率的可变驱动因素,而这种阶段结构的影响可能会通过不同时影响所有生命阶段而增加种群对气候变化的持久性。然而,我们的结果也表明,在看似不太重要的季节(例如冬季降水)期间的天气模式可能会对动物种群动态产生重大影响。

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