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Climate warming feedback from mountain birch forest expansion: reduced albedo dominates carbon uptake

机译:白桦林扩张引起的气候变暖反馈:反照率降低主导碳吸收

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Expanding high-elevation and high-latitude forest has contrasting climate feedbacks through carbon sequestration (cooling) and reduced surface reflectance (warming), which are yet poorly quantified. Here, we present an empirically based projection of mountain birch forest expansion in south-central Norway under climate change and absence of land use. Climate effects of carbon sequestration and albedo change are compared using four emission metrics. Forest expansion was modeled for a projected 2.6 degrees C increase in summer temperature in 2100, with associated reduced snow cover. We find that the current (year 2000) forest line of the region is circa 100 m lower than its climatic potential due to land-use history. In the future scenarios, forest cover increased from 12% to 27% between 2000 and 2100, resulting in a 59% increase in biomass carbon storage and an albedo change from 0.46 to 0.30. Forest expansion in 2100 was behind its climatic potential, forest migration rates being the primary limiting factor. In 2100, the warming caused by lower albedo from expanding forest was 10 to 17 times stronger than the cooling effect from carbon sequestration for all emission metrics considered. Reduced snow cover further exacerbated the net warming feedback. The warming effect is considerably stronger than previously reported for boreal forest cover, because of the typically low biomass density in mountain forests and the large changes in albedo of snow-covered tundra areas. The positive climate feedback of high-latitude and high-elevation expanding forests with seasonal snow cover exceeds those of afforestation at lower elevation, and calls for further attention of both modelers and empiricists. The inclusion and upscaling of these climate feedbacks from mountain forests into global models is warranted to assess the potential global impacts
机译:扩展高海拔和高纬度的森林通过碳固存(冷却)和降低的表面反射率(变暖)而形成的气候反馈形成了鲜明对比,但这些反馈仍难以量化。在这里,我们提出了基于经验的,在气候变化和缺乏土地利用的情况下挪威中南部的山桦林扩展的预测。使用四个排放指标比较了碳固存和反照率变化对气候的影响。森林扩张的模型是,预计到2100年夏季温度将上升2.6摄氏度,同时积雪减少。我们发现,由于土地使用的历史,该地区目前(2000年)的林线比其气候潜力低约100 m。在未来的情景中,森林覆盖率在2000年至2100年之间从12%增加到27%,导致生物量碳储存增加59%,反照率从0.46改变为0.30。 2100年的森林扩张落后于其气候潜力,森林迁移率是主要限制因素。在2100年,对于所有考虑的排放指标,由于森林扩张引起的反照率降低所引起的变暖作用比碳汇所产生的降温作用强10至17倍。积雪的减少进一步加剧了净增温的反馈。由于山区森林的生物量密度通常较低,而白雪覆盖的苔原地区的反照率变化很大,因此变暖效应比以前报道的北方森林覆盖度要强得多。高纬度和高海拔,有季节性积雪的森林的积极气候反馈超过了低海拔造林的积极反馈,并呼吁建模者和经验主义者进一步关注。将来自山区森林的这些气候反馈包括在内并按比例增加到全球模型中,以评估潜在的全球影响

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