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Climatic niche models and their consensus projections for future climates for four major forest tree species in the Asia-Pacific region

机译:气候生态位模型及其对亚太地区四种主要林木树种未来气候的共识预测

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摘要

Modeling and mapping the climatic niches of forest tree species and projecting their potential shift in geographic distribution under future climates are essential steps in assessing the impact of climate change on forests and in developing adaptive forest management strategies. It is particularly important for selecting suitable tree species to match future climates for afforestation and restoration of forest ecosystems. Large scale afforestation and reforestation projects have occurred or planned in Asia-Pacific region; however, the direct impact of climate change has not been widely considered. This has been at least partially due to the lack of availability of robust inventory data on forest vegetation and lack of access to appropriate climate data. In this study, we used our recently developed model, ClimateAP, to generate a large number of climate variables for point locations and used an ensemble modeling approach with Random Forest to overcome some limitations that exist with vegetation data. Uncertainty in future climates was incorporated into the analysis through consensus based projections using 12 climate change scenarios. We modeled the climatic niches for four economically and ecologically important forest tree species in the region and projected their shift in geographical distribution under climate change. Unusual patterns in the shift of geographic distributions of climatic niches were found in two species in Southern China. The implications of the projections in forest management for adaptation to climate change are discussed. (C) 2015 Elsevier B.V. All rights reserved.
机译:对林木物种的气候生态位进行建模和制图,并预测其在未来气候下的地理分布变化,是评估气候变化对森林的影响以及制定适应性森林管理战略的重要步骤。选择合适的树种以适应未来的气候以造林和恢复森林生态系统尤其重要。亚太地区已经发生或计划进行大规模的造林和再造林项目;但是,气候变化的直接影响尚未得到广泛考虑。这至少部分是由于缺乏关于森林植被的可靠清单数据的可用性,以及无法获得适当的气候数据。在这项研究中,我们使用了我们最近开发的模型ClimateAP来为点位置生成大量的气候变量,并使用Random Forest的整体建模方法来克服植被数据存在的一些局限性。通过使用12种气候变化情景的基于共识的预测,将未来气候的不确定性纳入了分析。我们为该地区的四种经济和生态上重要的林木树种模拟了生态位,并预测了它们在气候变化下的地理分布变化。在中国南方的两个物种中,气候生态位的地理分布发生了异常的变化。讨论了森林管理中的预测对适应气候变化的影响。 (C)2015 Elsevier B.V.保留所有权利。

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