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首页> 外文期刊>Biogeosciences >Carbon budget of tropical forests in Southeast Asia and the effects of deforestation: an approach using a process-based model and field measurements
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Carbon budget of tropical forests in Southeast Asia and the effects of deforestation: an approach using a process-based model and field measurements

机译:东南亚热带森林的碳收支和森林砍伐的影响:使用基于过程的模型和现场测量的方法

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More reliable estimates of the carbon (C) stock within forest ecosystems andC emission induced by deforestation are urgently needed to mitigate theeffects of emissions on climate change. A process-based terrestrialbiogeochemical model (VISIT) was applied to tropical primary forests of twotypes (a seasonal dry forest in Thailand and a rainforest in Malaysia) andone agro-forest (an oil palm plantation in Malaysia) to estimate the Cbudget of tropical ecosystems in Southeast Asia, including the impacts ofland-use conversion. The observed aboveground biomass in the seasonal drytropical forest in Thailand (226.3 t C ha?1) and the rainforest inMalaysia (201.5 t C ha?1) indicate that tropical forests of SoutheastAsia are among the most C-abundant ecosystems in the world. The modelsimulation results in rainforests were consistent with field data, except forthe NEP, however, the VISIT model tended to underestimate C budget and stockin the seasonal dry tropical forest. The gross primary production (GPP)based on field observations ranged from 32.0 to 39.6 t C ha?1 yr?1in the two primary forests, whereas the model slightly underestimated GPP(26.5–34.5 t C ha?1 yr?1). The VISIT model appropriately capturedthe impacts of disturbances such as deforestation and land-use conversionson the C budget. Results of sensitivity analysis showed that the proportionof remaining residual debris was a key parameter determining the soil Cbudget after the deforestation event. According to the model simulation, thetotal C stock (total biomass and soil C) of the oil palm plantation wasabout 35% of the rainforest's C stock at 30 yr following initiation ofthe plantation. However, there were few field data of C budget and stock,especially in oil palm plantation. The C budget of each ecosystem must beevaluated over the long term using both the model simulations andobservations to understand the effects of climate and land-use conversion onC budgets in tropical forest ecosystems.
机译:为了减轻排放对气候变化的影响,迫切需要对森林生态系统中的碳(C)储量和森林砍伐引起的碳排放进行更可靠的估算。以过程为基础的陆地生物地球化学模型(VISIT)被应用于两种类型的热带原始森林(泰国的季节性干旱森林和马来西亚的雨林)和一种农用森林(马来西亚的油棕种植园),以估算印度洋热带生态系统的预算。东南亚,包括土地利用转换的影响。在泰国季节性干热带森林(226.3 t C ha ?1 )和马来西亚雨林(201.5 t C ha ?1 )中观测到的地上生物量表明,热带森林东南亚是世界上碳含量最高的生态系统之一。除NEP之外,雨林的模拟结果与实地数据一致,但是VISIT模型往往低估了C预算和季节性干燥热带森林的蓄积量。根据实地观察,两个原始森林的初级总产值在32.0至39.6 t C ha ?1 yr ?1 范围内,而该模型低估了GPP (26.5–34.5 t C ha ?1 yr ?1 )。 VISIT模型适当地捕获了C预算中的森林砍伐和土地利用转换等干扰的影响。敏感性分析结果表明,森林砍伐事件后残留残渣的比例是决定土壤预算的关键参数。根据模型模拟,种植后30年,油棕人工林的总碳储量(总生物量和土壤碳)约为雨林碳储量的35%。但是,C预算和库存的现场数据很少,尤其是在油棕种植园中。必须长期使用模型模拟和观测来评估每个生态系统的碳预算,以了解气候和土地利用转化对热带森林生态系统中碳预算的影响。

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