EventsThe 1st International Electronic Conference on Forests — Forests for a Better Future: Sustainability, Innovation, Interdisciplinarity
Published
This submission belongs to the session S3. Forest and Urban Forest Sustainability of the event The 1st International Electronic Conference on Forests — Forests for a Better Future: Sustainability, Innovation, Interdisciplinarity
Published date
11 Nov, 2020
Citation
Marcello Biocca, Pietro Gallo, Giulio Sperandio, Technical and economic aspects of Stone Pine (Pinus pinea L.) maintenance in urban environments, in Proceedings of The 1st International Electronic Conference on Forests — Forests for a Better Future: Sustainability, Innovation, Interdisciplinarity, 15 November–30 November 2020, MDPI: Basel, Switzerland, doi: 10.3390/IECF2020-07910
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Technical and economic aspects of Stone Pine (Pinus pinea L.) maintenance in urban environments

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Pietro Gallo 2
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1. CREA Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria, Italy
2. CREA Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria
Abstract

The Italian Stone Pine (Pinus pinea L.) is one of the most employed ornamental trees in towns with Mediterranean climates. For example, in the city of Rome, according to Rome municipality, Pinus is the most common genus, with more than 51,000 trees. Due to several reasons (size of plants, historical importance of some trees, wrong plantation sites, etc.) the maintenance of this species may constitute a serious issue for the owners, both private and public subjects. Pruning and felling are the most frequent management operations of trees in towns and this study analyzes the technical and economic features of these operations carried out in 14 work sites (with a total of 25 trees observed). The operations were carried out either with aerial platforms (19 trees) or ascending the crown by tree-climbing (6 trees). The operations were sampled with time studies (12 trees for pruning and 13 for felling). Work time was measured from the beginning of operations to the transport of the residual biomass to the collection and loading point, using centesimal stopwatches and video recording. Total observation time amounted to 63.1 hours. Moreover, the total residual biomass was weighed or assessed. The evaluation of the costs of each work site considered the fixed and the variable costs and the costs for the labor force. A Multiple Linear Regression modelling was adopted to predict the total operation cost. This paper can contribute to optimize trees maintenance methods in urban sites and to assess the potential residual wood biomass attainable from urban forestry maintenance.

Keywords
Urban forestry
work analysis
residual biomass
pruning
costs
shade trees
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