Estimating aboveground carbon density and its uncertainty in Borneo's structurally complex tropical forests using airborne laser scanning-猫眼课题宝

DOI：

10.5194/bg-15-3811-2018

发表时间：

2018-06

期刊：

Biogeosciences

影响因子：

4.9

通讯作者：

中科院分区：

地球科学2区

文献类型：

作者：

T. Jucker;G. Asner;M. Dalponte;P. Brodrick;C. Philipson;N. Vaughn;Y. Teh;Craig C. Brelsford;D. Burslem;Nicolas J. Deere;R. Ewers;Jakub Kvasnica;S. Lewis;Y. Malhi;Sol Milne;R. Nilus;M. Pfeifer;O. Phillips;L. Qie;Nathan Renneboog;G. Reynolds;T. Riutta;M. Struebig;Martin Svátek;E. Turner;D. Coomes

抽象的。婆罗洲拥有一些世界上生物多样性和碳密度最高的热带森林，但这个75万平方公里的岛屿在过去40年里失去了62%的古老森林。保护和恢复婆罗洲剩余森林的努力取决于认识到它们提供的生态系统服务，包括它们储存和固定碳的能力。机载激光扫描(ALS)是一种遥感技术，可以在广阔的地理区域内非常详细地捕捉森林结构属性。近年来，ALS已被纳入新热带和非洲地区全州范围的森林碳评估，但在亚洲尚未纳入。要做到这一点，需要开发新的区域模型来估计热带亚洲ALS的碳储量，因为该地区的森林在结构和成分上与热带其他地区的森林不同。通过将ALS图像与覆盖婆罗洲岛沙巴州低地热带雨林的173个永久森林样地的数据相结合，我们开发了一个简单而通用的模型，以ALS的冠层高度和冠层覆盖率作为输入度量来估计森林碳储量。这一新模型的一个先进特征是在ALS和地面数据中传播不确定性，从而使公顷尺度的碳储量估计的不确定性得以强有力地量化。我们表明，该模型有效地捕捉了跨越高大的龙眼莲森林和重度伐木地区的极端干扰梯度上的地上碳储量的变化，并且明显优于现有的针对热带地区校准的基于ALS的模型，以及目前可用的卫星衍生产品。我们的模型为绘制婆罗洲森林碳储量提供了一种简单、普遍和有效的方法，并为保护和促进其独特的热带森林的恢复而进行的持续努力奠定了基础。

Abstract. Borneo contains some of the world's most biodiverse and carbon-dense tropical forest, but this 750 000 km2 island has lost 62 % of its old-growth forests within the last 40 years. Efforts to protect and restore the remaining forests of Borneo hinge on recognizing the ecosystem services they provide, including their ability to store and sequester carbon. Airborne laser scanning (ALS) is a remote sensing technology that allows forest structural properties to be captured in great detail across vast geographic areas. In recent years ALS has been integrated into statewide assessments of forest carbon in Neotropical and African regions, but not yet in Asia. For this to happen new regional models need to be developed for estimating carbon stocks from ALS in tropical Asia, as the forests of this region are structurally and compositionally distinct from those found elsewhere in the tropics. By combining ALS imagery with data from 173 permanent forest plots spanning the lowland rainforests of Sabah on the island of Borneo, we develop a simple yet general model for estimating forest carbon stocks using ALS-derived canopy height and canopy cover as input metrics. An advanced feature of this new model is the propagation of uncertainty in both ALS- and ground-based data, allowing uncertainty in hectare-scale estimates of carbon stocks to be quantified robustly. We show that the model effectively captures variation in aboveground carbon stocks across extreme disturbance gradients spanning tall dipterocarp forests and heavily logged regions and clearly outperforms existing ALS-based models calibrated for the tropics, as well as currently available satellite-derived products. Our model provides a simple, generalized and effective approach for mapping forest carbon stocks in Borneo and underpins ongoing efforts to safeguard and facilitate the restoration of its unique tropical forests.

Estimating aboveground carbon density and its uncertainty in Borneo's structurally complex tropical forests using airborne laser scanning

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