首页> 外文期刊>Global and planetary change >Evaluating impacts of climate change on net ecosystem productivity (NEP) of global different forest types based on an individual tree-based model FORCCHN and remote sensing
【24h】

Evaluating impacts of climate change on net ecosystem productivity (NEP) of global different forest types based on an individual tree-based model FORCCHN and remote sensing

机译:基于单独的基于树的模型FORCCHN和遥感,评估气候变化对全球不同森林类型的净生态系统生产力(NEP)的影响

获取原文
获取原文并翻译 | 示例
           

摘要

Accurately assessing the NEP of global forest ecosystem is indispensable to adjusting the global carbon balance for climate change. In this study, an improved individual-based forest ecosystem carbon budget model (FORCCHN) and remote sensing outputs were applied to investigate the impacts of climate change on the NEP of global different forest types from 1982 to 2011. The contributions of carbon sinks in different forest types to carbon sinks in global forest ecosystems were explored. The global forests were categorized into five ecological types according to their habitats and generic characteristics: deciduous coniferous forest (DCF), evergreen coniferous forest (ECF), evergreen coniferous deciduous broad-leaved mixed forest (ECDBMF), deciduous broad-leaved forest (DBF) and evergreen broad-leaved forest (EBF). The results showed that globally, the forest ecosystems represented a huge carbon sink and that the total carbon uptakes per unit area per year for EBF, ECF, DBF, DCF and ECDBMF forests from 1982 to 2011 were 0.388 kgC m(-2).yr(-1), 0.116 kgC m(-2).yr(-1), 0.082 kgC m(-2).yr(-1), 0.048 kgC m(-2).yr(-1) and 0.044 kgC m(-2).yr(-1), respectively. Inter-annual variability in global NEP per unit area per year among different forest types clearly existed. From 1982 to 2011, especially, the NEP increased in the EBF and ECF forests globally, but decreased in DBF forests. Moreover, there were no significant changes in the NEP of DCF and ECDBMF forests. The carbon sink areas varied among the 5 global forest types. For the DCF forest, central Asia, northern Europe and central North America were the main carbon sink regions. Central Asia, northern Europe and central North America were the main carbon sink regions for the ECF forest. For the ECDBMF forest, the carbon sink regions were mainly concentrated in northern and central Asia. The carbon sink regions for the DBF forest were mainly concentrated in southern Asia, southern Europe and mid-eastern North America. The carbon sink regions for the EBF forest were mainly concentrated in northern and central South America, southern Africa and southern Asia. Finally, the individual contributions of the NEP of each of forest type to global forest's NEP were calculated. The contributions of NEP for the EBF, ECF, DBF, DCF and ECDBMF forests to the total NEP of global forests were 57.19%, 17.07%, 12.17%, 7.10% and 6.47%, respectively. Our findings highlight that, over the past three decades, the EBF, ECF and DBF forests have been the main contributors to the increases in net ecosystem productivity of global forests.
机译:准确评估全球森林生态系统的NEP对于调整全球碳平衡以应对气候变化是必不可少的。在这项研究中,采用了改进的基于个人的森林生态系统碳预算模型(FORCCHN)和遥感输出,以调查1982年至2011年气候变化对全球不同森林类型的NEP的影响。不同碳汇的贡献探索了全球森林生态系统中从森林类型到碳汇的类型。根据全球森林的栖息地和一般特征将其分为五种生态类型:落叶针叶林(DCF),常绿针叶林(ECF),常绿针叶落叶阔叶混交林(ECDBMF),落叶阔叶林(DBF) )和常绿阔叶林(EBF)。结果表明,全球范围内,森林生态系统代表着巨大的碳汇,并且从1982年到2011年,EBF,ECF,DBF,DCF和ECDBMF森林每年每单位面积的总碳吸收量为0.388 kgC m(-2).yr (-1),0.116 kgC m(-2).yr(-1),0.082 kgC m(-2).yr(-1),0.048 kgC m(-2).yr(-1)和0.044 kgC m (-2).yr(-1)。显然,不同森林类型之间每年每单位面积的全球NEP呈年际变化。特别是从1982年到2011年,全球EBF和ECF森林的NEP增加,而DBF森林的NEP减少。此外,DCF和ECDBMF森林的NEP没有明显变化。碳汇面积在5种全球森林类型中有所不同。对于DCF森林,中亚,北欧和北美中部是主要的碳汇地区。中亚,北欧和北美中部是ECF森林的主要碳汇区域。对于ECDBMF森林,碳汇区域主要集中在北亚和中亚。 DBF森林的碳汇区域主要集中在南亚,南欧和北美中东部。 EBF森林的碳汇区域主要集中在南美北部和中部,南部非洲和南部亚洲。最后,计算了每种森林类型的NEP对全球森林NEP的贡献。 NEP对EBF,ECF,DBF,DCF和ECDBMF森林的贡献分别占全球森林总NEP的57.19%,17.07%,12.17%,7.10%和6.47%。我们的发现表明,在过去的三十年中,EBF,ECF和DBF森林一直是全球森林净生态系统生产力提高的主要推动力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号