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Changing forest water yields in response to climate warming: results from long-term experimental watershed sites across North America

机译:响应气候变暖而改变森林水产量:北美地区长期实验性分水岭的结果

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Climate warming is projected to affect forest water yields but the effects are expected to vary. We investigated how forest type and age affect water yield resilience to climate warming. To answer this question, we examined the variability in historical water yields at long-term experimental catchments across Canada and the United States over 5-year cool and warm periods. Using the theoretical framework of the Budyko curve, we calculated the effects of climate warming on the annual partitioning of precipitation (P) into evapotranspiration (ET) and water yield. Deviation (d) was defined as a catchment's change in actual ET divided by P [AET/P; evaporative index (EI)] coincident with a shift from a cool to a warm period - a positive d indicates an upward shift in EI and smaller than expected water yields, and a negative d indicates a downward shift in EI and larger than expected water yields. Elasticity was defined as the ratio of interannual variation in potential ET divided by P (PET/P; dryness index) to interannual variation in the EI - high elasticity indicates low d despite large range in drying index (i.e., resilient water yields), low elasticity indicates high d despite small range in drying index (i.e., nonresilient water yields). Although the data needed to fully evaluate ecosystems based on these metrics are limited, we were able to identify some characteristics of response among forest types. Alpine sites showed the greatest sensitivity to climate warming with any warming leading to increased water yields. Conifer forests included catchments with lowest elasticity and stable to larger water yields. Deciduous forests included catchments with intermediate elasticity and stable to smaller water yields. Mixed coniferous/deciduous forests included catchments with highest elasticity and stable water yields. Forest type appeared to influence the resilience of catchment water yields to climate warming, with conifer and deciduous catchments more susceptible to climate warming than the more diverse mixed forest catchments.
机译:预计气候变暖会影响森林水的产量,但影响预计会有所不同。我们调查了森林的类型和年龄如何影响水分对气候变暖的适应能力。为了回答这个问题,我们检查了加拿大和美国在5年的凉爽和温暖期的长期实验集水区的历史出水量的变化。使用Budyko曲线的理论框架,我们计算了气候变暖对降水(P)到蒸散量(ET)和水产量的年分配的影响。偏差(d)定义为流域实际ET的变化除以P [AET / P;蒸发指数(EI)]与从凉爽到暖期的变化相吻合-正d表示EI向上变化且小于预期水产量,负d表示EI向下变化且大于预期水产量。弹性定义为潜在ET的年际变化除以P(PET / P;干燥指数)与EI的年际变化之比-高弹性表明d较低,尽管干燥指数范围较大(即回水率高),低尽管干燥指数范围较小(即非回弹性水产量),弹性仍显示较高的d值。尽管基于这些指标全面评估生态系统所需的数据有限,但我们能够确定森林类型之间响应的某些特征。高山地区对气候变暖的敏感性最高,任何变暖都会导致水产量增加。针叶林中的流域具有最低的弹性,并且对较大的水量稳定。落叶林包括具有中等弹性的集水区,对较小的水产量稳定。针叶/落叶混交林包括具有最高弹性和稳定水量的流域。森林类型似乎影响流域水产量对气候变暖的适应力,与针叶林和落叶流域相比,更多样化的混交林流域更容易受到气候变暖的影响。

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