Poster-Krakow2023_UFandES.CB(IT)_EA-MM-VG

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Urban forest and Ecosystem services. Air pollutants removal capacity in Campobasso, Italy

INTRODUCTION

Urban areas are characterized by high levels of air pollutions caused by anthropogenic sources [1] The urban forests are the major provider of multiple ecosystem services able to improve and maintain human well-being

This work aims to assess the capacity of the urban forest of Monte Sant’Antonio, in Campobasso city (IT), to remove air pollutants and atmospheric carbon

MATERIAL and METHODS

This area has been affected by numerous reforestation activities (in 1961, 1975, 1981 and before 1961 whose age could not be established) that created four different stands (called ’61, ’75, ’81 and Adulte respectively) that covering an area of approximately 12 87 ha

The results produced by i-Tree Eco, using North American allometric formulas, are different from those obtained using allometric equations for the Italian National Inventory such as those of Tabacchi et al. [2]. The comparison was carried out using linear regression models that contained total tree biomass (expressed in dry weight) as the independent variable

canopy); "F", tree biomass (in kg); "Casup" is canopy area (in m2) The other models produced can be found in the ancillary data accessible from the QR below

RESULTS

The analysis of the values/ha (Table 1) shows that the stand with the highest sequestration capacity, except for the CO values, is ’81, which is the one with the highest number of tree species The results of comparison (Figure 1) shows the same trend for all pollutants The last phase of study analyses the variation in the air pollutant removal capacity over time by Pinus nigra and Fraxinus ornus (Figure 2) for both species there is a slight tendency for the air pollutant removal capacity to decrease with decreasing age In general, P nigra shows a higher removal capacity of air pollutants than F ornus, also stated by Chen et al [3 ] for PM2.5 removal capacity (Figure 3).

CONCLUSION and FUTURE PERSPECTIVE

Urban tree stands of different ages have different responses to the demand for removal of air pollutants This behaviour must be considered in urban forest management While there is little variability in atmospheric carbon sequestration The future objective will be to study the possible relationships between the capacity of UFs to remove the main atmospheric pollutants, in relation to forest structure and the degree of tree biodiversity, aimed at defining appropriate management models.

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Antenucci E ¹, Marchetti M ¹, Garfì V ¹ ¹ Department of Biosciences and Territory, University of Molise, Pesche (Is), Italy Email address of the lead presenter: e.antenucci2@studenti.unimol.it The two most common models used in this work have as independent variables: "Ce" (light exposure of the
References: 1. Shaddick G, Thomas ML, Mudu P, Ruggeri G, Gumy S Half the world’s population are exposed to increasing air pollution Npj Climate and Atmospheric Science 2020 Jun; 3(1), 23 doi: 10 1038/s41612-020-0124-2 2. Tabacchi G, Cosmo L, Gasparini P Stima del volume e della fitomassa delle principali specie forestali italiane Equazioni di previsione, tavole del volume e tavole della fitomassa arborea epigea 2011 3. Chen L, Liu C, Zhang L, Zou R, Zhang Z Variation in Tree Species Ability to Capture and Retain Airborne Fine Particulate Matter (PM2 5) Sci Rep vol 7 no 1 pp 1–11 2017 doi: 10 1038/s41598-017-03360-1
This work was carried out as part PRIN 2020 - Research Projects of National Relevance funded by the Italian Ministry of University and Research entitled “Multi‐scale observations to predict Forest response to pollution and climate change” (MULTIFOR, prot. 2020E52THS).
Ancillary data .pdf
Study area maps
Figure 1. Graphical results of the application of linear regression models Figure 2. Variation in the air pollutants removal capacity Fraxinus ornus Pinus nigra Figure 3. Difference in PM2.5 removal over time and by species.
electronic version
Table 1. The values by i-Tree Eco v.6. In blue the highest value for each air pollutant. The right column shows the values for the entire study area.

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Poster-Krakow2023_UFandES.CB(IT)_EA-MM-VG by Eduardo Antenucci - Issuu