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A spatially interactive simulation of climate change, harvesting, wind, and tree species migration and projected changes to forest composition and biomass in northern Wisconsin, USA

机译:在美国威斯康星州北部进行的气候变化,采伐,风和树种迁移以及预测的森林组成和生物量变化的空间互动模拟

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In the coming century, forecast climate changes caused by increasing greenhouse gases may produce dramatic shifts in tree species distributions and the rates at which individual tree species sequester carbon or release carbon back to the atmosphere. The species composition and carbon storage capacity of northern Wisconsin (USA) forests are expected to change significantly as a result. Projected temperature changes are relatively large (up to a 5.8degreesC increase in mean annual temperature) and these forests encompass a broad ecotone that may be particularly sensitive to climate change. Our objective was to estimate the combined effects of climate change, common disturbances, and species migrations on regional forests using spatially interactive simulations. Multiple scenarios were simulated for 200 years to estimate aboveground live biomass and tree species composition. We used a spatially interactive forest landscape model (LANDIS-II) that includes individual tree species, biomass accumulation and decomposition, windthrow, harvesting, and seed dispersal. We used data from two global circulation models, the Hadley Climate Centre (version 2) and the Canadian Climate Center (version 1) to generate transient growth and decomposition parameters for 23 species. The two climate change scenarios were compared with a control scenario of continuing current climate conditions. The results demonstrate how important spatially interactive processes will affect the aboveground live biomass and species composition of northern Wisconsin forests. Forest composition, including species richness, is strongly affected by harvesting, windthrow, and climate change, although five northern species (Abies balsamea, Betula papyrifera, Picea glauca, Pinus banksiana, P. resinosa) are lost in both climate scenarios regardless of disturbance scenario. Changes in aboveground live biomass over time are nonlinear and vary among ecoregions. Aboveground live biomass will be significantly reduced because of species dispersal and migration limitations. The expected shift towards southern oaks and hickory is delayed because of seed dispersal limitations.
机译:在即将到来的世纪中,由温室气体增加引起的预测气候变化可能会导致树木物种分布以及各个树木螯合碳或将碳释放回大气中的速率发生急剧变化。结果,威斯康星州北部(美国)森林的物种组成和碳储存能力预计将发生显着变化。预计的温度变化相对较大(年平均温度最高可升高5.8摄氏度),并且这些森林涵盖广泛的过渡带,可能对气候变化特别敏感。我们的目标是使用空间互动模拟来评估气候变化,常见干扰和物种迁移对区域森林的综合影响。模拟了200年的多种情景,以估算地上生物量和树木物种组成。我们使用了空间互动的森林景观模型(LANDIS-II),该模型包括单个树种,生物量的积累和分解,抛草,收获和种子传播。我们使用了两个全球环流模型(哈德利气候中心(第2版)和加拿大气候中心(第1版))的数据来生成23种物种的瞬时生长和分解参数。将这两种气候变化情景与持续当前气候条件的控制情景进行了比较。结果表明,空间互动过程将如何重要影响威斯康星州北部森林的地上生物量和物种组成。不论干扰情景如何,在两种气候情景下都丧失了五个北部物种(香豆,桦木,桦木,青海云杉,松树,P。resinosa),其中包括物种丰富度的森林组成在很大程度上受到收获,迎风和气候变化的影响。 。地上生物量随时间的变化是非线性的,并且在生态区域之间也不同。由于物种扩散和迁移限制,地上活生物量将大大减少。由于种子传播的限制,推迟了向南方橡树和山核桃的转移。

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