New insights into large tropical tree mass and structure from direct harvest and terrestrial lidar.
New insights into large tropical tree mass and structure from direct harvest and terrestrial lidar.
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DOI：
10.1098/rsos.201458
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发表时间：
2021-02-10
影响因子：
3.5
通讯作者：
Disney M
中科院分区：
文献类型：
--
作者：
Burt A;Boni Vicari M;da Costa ACL;Coughlin I;Meir P;Rowland L;Disney M
陆地植被碳储量的很大一部分储存在热带森林的地上生物量(AGB)中，但确切的数量仍然不确定，部分原因是缺乏测量。到目前为止，亚马逊地区只有10棵大型热带树木的可获取的同行评议数据，这些树木已经收获，并完全通过称重直接测量。在亚马孙东部原始原生林中收获4株热带雨林大树(树干直径0.6~1.2m，树高30~46m，AGB 3960~18584 kg)，测定地上绿量、含水率和木质组织密度。我们首先介绍了这些数据提供的罕见的生态洞察，包括树内密度随高度和半径的非系统变化。我们还发现，AGB主要分布在牙冠中，但从42%到62%不等。然后，我们比较了非破坏性的方法估计这些树木的AGB，使用经典的异速生长和新的基于激光雷达的方法。地面激光雷达点云是在收获前收集的，我们在其上安装了圆柱体来模拟木质结构，从而能够提取体积衍生的AGB。这种方法的估计比异速生长方法更准确(平均树尺度相对误差：3%对15%)，当放大到四棵树的累积AGB时，误差减少(1%对15%)。此外，尽管在直径范围内，异速生长误差随着树木大小增加了四倍，但激光雷达误差保持不变。这表明这些激光雷达估计的误差是随机的和累加的。如果这些结果可以跨森林场景转移，陆地激光雷达方法将减少标准尺度AGB估计的不确定性，从而促进我们对热带森林在全球碳循环中的作用的理解。
A large portion of the terrestrial vegetation carbon stock is stored in the above-ground biomass (AGB) of tropical forests, but the exact amount remains uncertain, partly owing to the lack of measurements. To date, accessible peer-reviewed data are available for just 10 large tropical trees in the Amazon that have been harvested and directly measured entirely via weighing. Here, we harvested four large tropical rainforest trees (stem diameter: 0.6–1.2 m, height: 30–46 m, AGB: 3960–18 584 kg) in intact old-growth forest in East Amazonia, and measured above-ground green mass, moisture content and woody tissue density. We first present rare ecological insights provided by these data, including unsystematic intra-tree variations in density, with both height and radius. We also found the majority of AGB was usually found in the crown, but varied from 42 to 62%. We then compare non-destructive approaches for estimating the AGB of these trees, using both classical allometry and new lidar-based methods. Terrestrial lidar point clouds were collected pre-harvest, on which we fitted cylinders to model woody structure, enabling retrieval of volume-derived AGB. Estimates from this approach were more accurate than allometric counterparts (mean tree-scale relative error: 3% versus 15%), and error decreased when up-scaling to the cumulative AGB of the four trees (1% versus 15%). Furthermore, while allometric error increased fourfold with tree size over the diameter range, lidar error remained constant. This suggests error in these lidar-derived estimates is random and additive. Were these results transferable across forest scenes, terrestrial lidar methods would reduce uncertainty in stand-scale AGB estimates, and therefore advance our understanding of the role of tropical forests in the global carbon cycle.
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影响因子：
11.6
作者：
Malhi, Yadvinder;Wood, Daniel;Vinceti, Barbara
通讯作者：
Vinceti, Barbara
影响因子：
7.2
作者：
Baison, John;Vidalis, Amaryllis;Garcia-Gil, M. Rosario
通讯作者：
Garcia-Gil, M. Rosario
影响因子：
11.6
作者：
Baker, TR;Phillips, OL;Martínez, RV
通讯作者：
Martínez, RV
DOI：
10.1098/rstb.2017.0311
发表时间：
2018-10-08
期刊：
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
影响因子：
--
作者：
Meir P;Mencuccini M;Binks O;da Costa AL;Ferreira L;Rowland L
通讯作者：
Rowland L
影响因子：
11.6
作者：
Avitabile, Valerio;Herold, Martin;Willcock, Simon
通讯作者：
Willcock, Simon