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Projected Future Distribution of Tsuga canadensis across Alternative Climate Scenarios in Maine, U.S

机译:在美国缅因州不同气候情景下加拿大斜Tsu(Tsuga canadensis)的预计未来分布

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Climate change is having an impact on forest ecosystems around the world and is expected to alter the suitable habitat of individual tree species. Forest managers require resources about potential impacts of climate change at the regional scale to aid in climate mitigation efforts. By understanding the geographic distribution of changes in suitable habitat, migration corridors can be identified for conservation and active management. With the increased availability of climate projection data, ancillary Geographic Information Systems data, and field observations, modeling efforts at the regional scale are now possible. Here, we modeled and mapped the continuous distribution of Tsuga canadensis throughout the state of Maine at the regional scale(30 m) with high precision (89% of pixels had a coefficient of variation ≤ 4.0%). The random forest algorithm was used to create a strong prediction of suitable habitat for the years 2050 and 2100 from both high and low emission climate projections. The results clearly suggest a significant gain in suitable habitat for Tsuga canadensis range with a general northwest expansion.
机译:气候变化正在影响世界各地的森林生态系统,并有望改变单个树种的适宜生境。森林管理者需要有关区域范围内气候变化潜在影响的资源,以帮助缓解气候变化的努力。通过了解适当栖息地变化的地理分布,可以确定迁徙走廊,以进行保护和积极管理。随着气候预测数据,辅助地理信息系统数据和实地观测的可用性增加,现在可以在区域范围内进行建模工作。在这里,我们以高精确度(89%的像素的变异系数≤4.0%)对整个加拿大缅因州在区域范围(30 m)上加拿大Tsuga canensis的连续分布进行了建模和映射。随机森林算法用于根据高排放和低排放气候预测对2050年和2100年的合适栖息地进行强有力的预测。结果清楚地表明,加拿大西北Tsu的适当栖息地有了明显的增加,总体向西北扩展。

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