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首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >Effect of plant dynamic processes on African vegetation responses to climate change: Analysis using the spatially explicit individual-based dynamic global vegetation model (SEIB-DGVM)
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Effect of plant dynamic processes on African vegetation responses to climate change: Analysis using the spatially explicit individual-based dynamic global vegetation model (SEIB-DGVM)

机译:植物动态过程对非洲植被对气候变化的响应的影响:使用基于空间的基于个体的动态全球植被模型(SEIB-DGVM)进行分析

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We applied a dynamic global vegetation model (DGVM) to the African continent. After calibration, the model reproduced geographical distributions of the continent's biomes, annual gross primary productivity (GPP), and biomass under current climatic conditions. The model is driven by the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emission Scenarios (SRES) A1B scenario of rising CO _2, and by climate changes during the twenty-first century resulting from the change in CO _2 concentrations, simulated by a coupled Model for Interdisciplinary Research on Climate (MIROC) ocean atmosphere model. Simulations under this condition revealed time lags between environmental change and biome change, with the extent of these lags depending largely on the type of biome change. A switch in forest type was accompanied by the longest delay in biome change among all changes classified, indicating that resident trees largely prevent the establishment of nonresident tree types adapted to the new environment, and that tree growth requires additional years after successful establishment. In addition, assumptions for tree dispersal, which determine whether nonresident tree types can be established, modified the patterns of biome change under the twenty-first-century environment: under the assumption that nonresident tree types cannot be established even if environmental conditions change, the extent of the forest type switch and the development of forest and savanna were suppressed, while forest dieback was enhanced. These changes accompanied a slowing of the increasing trend in net primary productivity (NPP), biomass, and soil carbon during the twenty-first century and in subsequent years. These results quantitatively demonstrate that both patch dynamics and invasive tree recruitment significantly modify the transient change in vegetation distribution and function under a changing environment on the African continent.
机译:我们将动态全球植被模型(DGVM)应用于非洲大陆。校准后,该模型再现了非洲大陆生物群系的地理分布,年总初级生产力(GPP)和当前气候条件下的生物质。该模型由政府间气候变化专门委员会(IPCC)关于CO _2升高的排放情景(SRES)A1B情景的特别报告和由21世纪期间由CO _2浓度变化引起的气候变化所驱动,气候学跨学科研究(MIROC)海洋大气模型的耦合模型。在此条件下的仿真显示环境变化和生物群落变化之间存在时间滞后,这些滞后的程度在很大程度上取决于生物群落改变的类型。森林类型的转变伴随着所有分类变化中生物群落变化的最长延迟,这表明常绿乔木在很大程度上阻止了适应新环境的非常绿乔木的建立,并且树木的成功建立需要额外的年限。此外,用于确定是否可以建立非居民树类型的树木散布假设修改了在二十一世纪环境下生物群落变化的模式:在假设即使环境条件改变也无法确定非居民树类型的假设下,森林类型转换的程度以及森林和热带稀树草原的发展受到抑制,而森林的荒漠化则得到增强。这些变化伴随着二十一世纪及其后几年净初级生产力(NPP),生物量和土壤碳的增长趋势的减缓。这些结果定量地表明,在非洲大陆不断变化的环境下,斑块动力学和入侵树木募集都显着改变了植被分布和功能的瞬时变化。

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