Espírito-Santo Fernando D B, Gloor Manuel, Keller Michael, Malhi Yadvinder, Saatchi Sassan, Nelson Bruce, Junior Raimundo C Oliveira, Pereira Cleuton, Lloyd Jon, Frolking Steve, Palace Michael, Shimabukuro Yosio E, Duarte Valdete, Mendoza Abel Monteagudo, López-González Gabriela, Baker Tim R, Feldpausch Ted R, Brienen Roel J W, Asner Gregory P, Boyd Doreen S, Phillips Oliver L
1] NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California 91109, USA [2] Institute for the Study of Earth, Oceans and Space, University of New Hampshire, Durham, New Hampshire 03824, USA.
School of Geography, University of Leeds, Leeds LS2 9JT, UK.
Nat Commun. 2014 Mar 18;5:3434. doi: 10.1038/ncomms4434.
Forest inventory studies in the Amazon indicate a large terrestrial carbon sink. However, field plots may fail to represent forest mortality processes at landscape-scales of tropical forests. Here we characterize the frequency distribution of disturbance events in natural forests from 0.01 ha to 2,651 ha size throughout Amazonia using a novel combination of forest inventory, airborne lidar and satellite remote sensing data. We find that small-scale mortality events are responsible for aboveground biomass losses of ~1.7 Pg C y(-1) over the entire Amazon region. We also find that intermediate-scale disturbances account for losses of ~0.2 Pg C y(-1), and that the largest-scale disturbances as a result of blow-downs only account for losses of ~0.004 Pg C y(-1). Simulation of growth and mortality indicates that even when all carbon losses from intermediate and large-scale disturbances are considered, these are outweighed by the net biomass accumulation by tree growth, supporting the inference of an Amazon carbon sink.
亚马逊地区的森林资源清查研究表明存在一个巨大的陆地碳汇。然而,实地样地可能无法代表热带森林景观尺度上的森林死亡过程。在这里,我们使用森林资源清查、机载激光雷达和卫星遥感数据的新颖组合,对整个亚马逊地区面积从0.01公顷到2651公顷的天然林中干扰事件的频率分布进行了表征。我们发现,小规模死亡事件导致整个亚马逊地区地上生物量损失约1.7Pg C y⁻¹。我们还发现,中等规模干扰造成的损失约为0.2Pg C y⁻¹,而因风倒导致的最大规模干扰造成的损失仅约为0.004Pg C y⁻¹。生长和死亡模拟表明,即使考虑到中等和大规模干扰造成的所有碳损失,这些损失也被树木生长带来的净生物量积累所抵消,这支持了亚马逊碳汇的推断。