Assessing above-ground biomass of open-grown urban trees: A comparison between existing models and a volume-based approach

作者：Tanhuanpaa Topi^*; Kankare Ville; Setlala Heikki; Yli Pelkonen Vesa; Vastaranta Mikko; Niemi Mikko T; Raisio Juha; Holopainen Markus

来源：Urban Forestry and Urban Greening, 2017, 21: 239-246.

DOI：10.1016/j.ufug.2016.12.011

• LiDAR
• Remote sensing
• Street trees
• Trees outside forests

Assessment of the amount of carbon sequestered and the value of ecosystem services provided by urban trees requires reliable data. Predicting the proportions and allometric relationships of individual urban trees with models developed for trees in rural forests may result in significant errors in biomass calculations. To better understand the differences in biomass accumulation and allocation between urban and rural trees, two existing biomass models for silver birch (Betula pendula Roth) were tested for their performance in assessing the above-ground biomass (AGB) of 12 urban trees. In addition, the performance of a volume-based method utilizing accurate terrestrial laser scanning (TLS) data and stem density was evaluated in assessing urban tree AGB. Both tested models underestimated the total AGB of single trees, which was mainly due to a substantial underestimation of branch biomass. The volume-based method produced the most accurate estimates of stem biomass. The results suggest that biomass models originally based on sample trees from rural forests should not be used for urban, open-grown trees, and that volume-based methods utilizing TLS data are a promising alternative for non-destructive assessment of urban tree AGB.

• 出版日期2017-1