Swiss Federal Institute WSL, Zürichstrasse 111, CH-8903 Birmensdorf, Switzerland.
Remote Sensing Laboratories, University of Zurich, Winterthurerstrasse 190, CH-8045 Zurich, Switzerland.
Ann Bot. 2021 Oct 27;128(6):709-724. doi: 10.1093/aob/mcab002.
Within extending urban areas, trees serve a multitude of functions (e.g. carbon storage, suppression of air pollution, mitigation of the 'heat island' effect, oxygen, shade and recreation). Many of these services are positively correlated with tree size and structure. The quantification of above-ground biomass (AGB) is of especial importance to assess its carbon storage potential. However, quantification of AGB is difficult and the allometries applied are often based on forest trees, which are subject to very different growing conditions, competition and form. In this article we highlight the potential of terrestrial laser scanning (TLS) techniques to extract highly detailed information on urban tree structure and AGB.
Fifty-five urban trees distributed over seven cities in Switzerland were measured using TLS and traditional forest inventory techniques before they were felled and weighed. Tree structure, volume and AGB from the TLS point clouds were extracted using quantitative structure modelling. TLS-derived AGB estimates were compared with AGB estimates based on forest tree allometries dependent on diameter at breast height only. The correlations of various tree metrics as AGB predictors were assessed.
Estimates of AGB derived by TLS showed good performance when compared with destructively harvested references, with an R2 of 0.954 (RMSE = 556 kg) compared with 0.837 (RMSE = 1159 kg) for allometrically derived AGB estimates. A correlation analysis showed that different TLS-derived wood volume estimates as well as trunk diameters and tree crown metrics show high correlation in describing total wood AGB, outperforming tree height.
Wood volume estimates based on TLS show high potential to estimate tree AGB independent of tree species, size and form. This allows us to retrieve highly accurate non-destructive AGB estimates that could be used to establish new allometric equations without the need for extensive destructive harvesting.
在城市扩展区域,树木具有多种功能(例如碳储存、抑制空气污染、缓解“热岛”效应、提供氧气、遮荫和娱乐)。这些功能中的许多都与树木的大小和结构呈正相关。地上生物量(AGB)的量化对于评估其碳储存潜力尤为重要。然而,AGB 的量化较为困难,所应用的异速生长关系通常基于森林树木,而森林树木所处的生长条件、竞争和形态都大不相同。本文重点介绍了地面激光扫描(TLS)技术在提取城市树木结构和 AGB 高度详细信息方面的潜力。
在将 55 棵分布在瑞士七个城市的城市树木砍伐并称重之前,使用 TLS 和传统森林清查技术对其进行了测量。使用定量结构建模从 TLS 点云中提取树木结构、体积和 AGB。TLS 衍生的 AGB 估算值与仅依赖胸径的森林树木异速生长关系衍生的 AGB 估算值进行了比较。评估了各种树木指标作为 AGB 预测因子的相关性。
与破坏性收获的参考值相比,TLS 衍生的 AGB 估算值表现出良好的性能,其 R2 为 0.954(RMSE=556 kg),而基于异速生长关系衍生的 AGB 估算值为 0.837(RMSE=1159 kg)。相关性分析表明,不同的 TLS 衍生木材体积估算值以及树干直径和树冠指标在描述总木材 AGB 方面具有高度相关性,优于树高。
基于 TLS 的木材体积估算值具有独立于树种、大小和形态来估算树木 AGB 的巨大潜力。这使我们能够获得高度准确的非破坏性 AGB 估算值,无需进行广泛的破坏性收获即可建立新的异速生长方程。