Keywords
economic value
remote sensing
i-Tree Eco
urban sustainability
Warsaw
How to Cite
Abstract
Urban forests provide vital ecosystem services (ES), and quantifying these benefits is essential for sustainable urban planning. The i-Tree Eco tool is widely used for such assessments, but its reliance on detailed field inventories limits citywide applications. Remote sensing offers spatial data, but cannot directly provide all the necessary model inputs. This study presents a framework combining remote sensing with field-based modelling for large-scale i-Tree Eco assessments. Applied to Acer platanoides in Warsaw, Poland, with data from 529 trees, econometric models predicted structural attributes from remotely sensed variables. Using these models and other remotely derived attributes, a citywide i-Tree Eco analysis was performed. The framework evaluated approximately 122,000 trees, which together remove 46 t of pollutants annually, sequester 2,440 t of carbon, and reduce stormwater runoff by 38,100 m³, with an estimated value of €787,000. This study introduces a novel, large-scale approach for the economic valuation of urban tree ES.
References
Alonzo, M., Ibsen, P. C., & Locke, D. H. (2025). Urban trees and cooling: A review of the recent literature (2018–2024). Arboriculture & Urban Forestry, 51(5), 420–444. https://doi.org/10.48044/jauf.2025.023
Berland, A., Shiflett, S. A., Shuster, W. D., Garmestani, A. S., Goddard, H. C., Herrmann, D. L., & Hopton, M. E. (2017). The role of trees in urban storm-water management. Landscape and Urban Planning, 162, 167–177. https://doi.org/10.1016/j.landurbplan.2017.02.017
Bratkovich, S., Bowyer, J., Stai, S., Fernholz, K., Bratkovich, J., & Howe, J. (2010). Urban forestry: An evolving discipline. Dovetail Partners, Inc. http://www.dovetailinc.org/report_pdfs/2010/dovetailurbanforestry1010-1.pdf
Ciesielski, M., & Sterenczak, K. (2019). Accuracy of determining specific parameters of the urban forest using remote sensing. iForest – Biogeosciences and Forestry, 12(6), 498–510. https://doi.org/10.3832/ifor3024-012
Cimburova, Z., & Barton, D. N. (2020). The potential of geospatial analysis and Bayesian networks to enable i-Tree Eco assessment of existing tree inventories. Urban Forestry & Urban Greening, 55, 126801. https://doi.org/10.1016/j.ufug.2020.126801
City of Warsaw. (2023). Raport o zieleni miejskiej w Warszawie 2023 [Report on urban greenery in Warsaw 2023]. Warsaw: Department of Greenery. (in Polish).
City of Warsaw. (2025). Tariff for water and sewage for Warsaw residents. Municipal Contact Center Warsaw 19115. https://warszawa19115.pl/web/guest/-/taryfa-za-wod%C4%99-i-%C5%9Bcieki-dla-mieszka%C5%84c%C3%B3w-warszawy (in Polish).
Długoński, A., Wellmann, T., & Haase, D. (2023). Old-growth forests in urban nature reserves: Balancing risks for visitors and biodiversity protection in Warsaw (Poland). Land, 12(2), 275. https://doi.org/10.3390/land12020275
Fletcher, D. H., Garrett, J. K., Thomas, A., Fitch, A., Cryle, P., Shilton, S., & Jones, L. (2022). Location, location, location: Modelling of noise mitigation by urban woodland shows the benefit of targeted tree planting in cities. Sustainability, 14(12), 7079. https://doi.org/10.3390/su14127079
GIM International. (2020). Warsaw maps its trees in 3D using airborne LiDAR and hyperspectral data. https://www.gim-international.com/content/article/warsaw-maps-its-trees-in-3d
Główny Urząd Statystyczny (GUS). (2025). Consumer Price Index. https://stat.gov.pl
Haines-Young, R., & Potschin, M. (2018). Common International Classification of Ecosystem Services (CICES) Version 5.1: A policy brief. One Ecosystem, 3, e27108. https://doi.org/10.3897/oneeco.3.e27108
Hintural, W. P., Jeon, H. J., Kim, S. Y., Go, S., & Park, B. B. (2024). Quantifying regulating ecosystem services of urban trees: A case study of a green space at Chungnam National University using i-Tree Eco. Forests, 15(8), 1446. https://doi.org/10.3390/f15081446
Hurley, P. T., & Emery, M. R. (2018). Locating provisioning ecosystem services in urban forests: Forageable woody species in New York City, USA. Landscape and Urban Planning, 170, 266–275. https://doi.org/10.1016/j.landurbplan.2017.09.025
i-Tree. (2021). i-Tree Eco v6 field manual. USDA Forest Service & Davey Institute. https://www.itreetools.org/documents/274/EcoV6.FieldManual.2021.10.06.pdf
IMGW-PIB. (2024). Rocznik meteorologiczny Warszawa. https://danepubliczne.imgw.pl/data/dane_pomiarowo_obserwacyjne/Roczniki/Rocznik%20meteorologiczny/Rocznik%20Meteorologiczny%202023.pdf (in Polish).
Jato-Espino, D., Capra-Ribeiro, F., Moscardó, V., Bartolomé del Pino, L. E., Mayor-Vitoria, F., Gallardo, L. O., Carracedo, P., & Dietrich, K. (2023). A systematic review on the ecosystem services provided by green infrastructure. Urban Forestry & Urban Greening, 86, 127998. https://doi.org/10.1016/j.ufug.2023.127998
Kim, G. (2016). Assessing Urban Forest Structure, Ecosystem Services, and Economic Benefits on Vacant Land. Sustainability, 8(7), 679. https://doi.org/10.3390/su8070679
Kofel, D., Bourgeois, I., Paganini, R., Pulfer, A., Grossiord, C., & Schmale, J. (2024). Quantifying the impact of urban trees on air quality in Geneva, Switzerland. Urban Forestry & Urban Greening, 101, 128513. https://doi.org/10.1016/j.ufug.2024.128513
Choi, Y., Machado, J., & Kim, G. (2023). A Comparative Evaluation of Ecosystem Services Provided by Street Trees in Seoul for the Suggestion of Social Equity. Land, 13(2), 235. https://doi.org/10.3390/land13020235
Li, H., Zhao, Y., Wang, C., Ürge-Vorsatz, D., Carmeliet, J., & Bardhan, R. (2024). Cooling efficacy of trees across cities is determined by background climate, urban morphology, and tree trait. Communications Earth & Environment, 5, 754. https://doi.org/10.1038/s43247-024-01908-4
Locosselli, G. M., & Buckeridge, M. S. (2023). The science of urban trees to promote well-being. Trees – Structure and Function, 37, 2389. https://doi.org/10.1007/s00468-023-02389-2
MGGP Aero. (2020). Tree Crown Map for Warsaw – Project documentation prepared for the City of Warsaw. MGGP Aero Sp. z o.o., Tarnów, Poland. (in Polish).
Moreno, R., Nery, A., Zamora, R., Lora, Á., & Galán, C. (2024). Contribution of urban trees to carbon sequestration and reduction of air pollutants in Lima, Peru. Ecosystem Services, 67, 101618. https://doi.org/10.1016/j.ecoser.2024.101618
Mundher, R., Abu Bakar, S., Al-Helli, M., Gao, H., Al-Sharaa, A., Mohd Yusof, M. J., & Aziz, A. (2022). Visual aesthetic quality assessment of urban forests. Urban Science, 6(4), 79. https://doi.org/10.3390/urbansci6040079
Nguyen, P.-Y., Astell-Burt, T., Rahimi-Ardabili, H., & Feng, X. (2021). Green space quality and health: A systematic review. International Journal of Environmental Research and Public Health, 18(21), 11028. https://doi.org/10.3390/ijerph182111028
Niedzielko, J., Chormański, J., Wylazłowska, J., Kopeć, D., Lewandowska, A., & Matuszko, A. (2024). Airborne data and machine learning for urban tree species mapping: Enhancing the legend design to improve the map applicability for city greenery management. Remote Sensing of Environment, 308, 114314. https://doi.org/10.1016/j.jag.2024.103719
Nowak, D. J. (2021). Understanding i-Tree: Summary of programs and methods (Gen. Tech. Rep. NRS-200). U.S. Department of Agriculture, Forest Service, Northern Research Station. https://doi.org/10.2737/NRS-GTR-200
Nowak, D. J. (2024). Understanding i-Tree: 2023 summary of programs and methods (Gen. Tech. Rep. NRS-200-2023). U.S. Department of Agriculture, Forest Service, Northern Research Station. https://doi.org/10.2737/NRS-GTR-200-2023
Nowak, D. J., & Crane, D. E. (2000). The Urban Forest Effects (UFORE) model: Quantifying urban forest structure and functions. In M. Hansen & T. Burk (Eds.), Integrated tools for natural resources inventories in the 21st century (Gen. Tech. Rep. NC-212, pp. 714–720). U.S. Department of Agriculture, Forest Service.
Nowak, D. J., Crane, D. E., Stevens, J. C., Hoehn, R. E., Walton, J. T., & Bond, J. (2008). A ground-based method of assessing urban forest structure and ecosystem services. Arboriculture & Urban Forestry, 34(6), 347–358. https://doi.org/10.48044/jauf.2008.048
Nowak, D. J., Greenfield, E. J., & Ash, R. M. (2019). Annual biomass loss and potential value of urban tree waste in the United States. Urban Forestry & Urban Greening, 46, 126469. https://doi.org/10.1016/j.ufug.2019.126469
Nowak, D. J. et al. (2023). Improved air quality and other services from urban trees and forests. Forest Science Research Report, USDA Forest Service. https://doi.org/10.1007/978-3-031-35692-6_10
Raum, S., Hand, K. L., Hall, C., Edwards, D. M., O’Brien, L., & Doick, K. J. (2019). Achieving impact from ecosystem assessment and valuation of urban greenspace: The case of i-Tree Eco in Great Britain. Landscape and Urban Planning, 190, 103590. https://doi.org/10.1016/j.landurbplan.2019.103590
Roman, L. A., Battles, J. J., & McBride, J. R. (2014). Determinants of establishment survival for residential trees in Sacramento County, CA. Landscape and Urban Planning, 129, 22–31. https://doi.org/10.1016/j.landurbplan.2014.05.004
Sardeshpande, M., & Shackleton, C. M. (2023). Fruits of the city: The nature, nurture and future of urban foraging. People and Nature, 5(1), 203–215. https://doi.org/10.1002/pan3.10428
Scharenbroch, B. C., Carter, D., Bialecki, M., Fahey, R., Scheberl, L., Catania, M., Roman, L. A., Bassuk, N., Harper, R. W., Werner, L. P., Siewert, A., Miller, S., Huyler, L., & Raciti, S. (2017). A rapid urban site index for assessing the quality of street tree planting sites. Urban Forestry & Urban Greening, 27, 279–286. https://doi.org/10.1016/j.ufug.2017.08.010
Scholz, T., Hof, A., & Schmitt, T. (2018). Cooling effects and regulating ecosystem services provided by urban trees—Novel analysis approaches using urban tree cadastre data. Sustainability, 10(3), 712. https://doi.org/10.3390/su10030712
Schunko, C., & Brandner, A. (2022). Urban nature at the fingertips: Investigating wild food foraging to enable nature interactions of urban dwellers. Ambio, 51(5), 1168–1178. https://doi.org/10.1007/s13280-021-01648-1
Selbig, W. R. (2022). Loss of street-tree canopy increases storm-water runoff (Fact Sheet 2022-3074). U.S. Geological Survey. https://doi.org/10.3133/fs20223074
Sharma, G., Morgenroth, J., Richards, D., & Ye, N. (2025). Advancing urban forest and ecosystem service assessment through the integration of remote sensing and i-Tree Eco: A systematic review. Urban Forestry & Urban Greening, 104, 128659. https://doi.org/10.1016/j.ufug.2024.128659
Sjöman, J. D., Tuhkanen, E.-M., Mänttäri, M., Čepić, Ž., Randrup, T. B., & Deak Sjöman, J. (2024). Expectations of i-Tree Eco as a tool for urban tree management in Nordic cities. Frontiers in Sustainable Cities, 5, 1325039. https://doi.org/10.3389/frsc.2023.1325039
Szkop, Z. (2016). An evaluation of the ecosystem services provided by urban trees: The role of Krasiński Gardens in air quality and human health in Warsaw (Poland). Environmental & Socio-economic Studies, 4(4), 41–50. https://doi.org/10.1515/environ-2016-0023
Szkop, Z. (2020). Evaluating the sensitivity of the i-Tree Eco pollution model to different pollution data inputs: A case study from Warsaw, Poland. Urban Forestry & Urban Greening, 55, 126859. https://doi.org/10.1016/j.ufug.2020.126859
Szkop, Z. (2022). The value of air purification and carbon storage ecosystem services of park trees in Warsaw, Poland. Environmental & Socio-economic Studies, 10(3), 1–11. https://doi.org/10.2478/environ-2022-0012
Szkop, Z. (2023). Materials prepared under the “Nauka jest dla ludzi” project. University of Warsaw. [Unpublished project material]. (in Polish).
Tan, X., & Shibata, S. (2022). Factors influencing street tree health in constrained planting spaces: Evidence from Kyoto City, Japan. Urban Forestry & Urban Greening, 67, 127416. https://doi.org/10.1016/j.ufug.2021.127416
U.S. Forest Service. (2013). A guide to assessing urban forests (NRS-INF-24-13). USDA Forest Service, Northern Research Station. https://www.itreetools.org/resources/content/guide_to_assessing_urban_forests_nrs_inf_24_13.pdf
Van Renterghem, T. (2019). Towards explaining the positive effect of vegetation on the perception of environmental noise. Urban Forestry & Urban Greening, 40, 133-144. https://doi.org/10.1016/j.ufug.2018.03.007
Velasquez-Camacho, L., Cardil, A., Mohan, M., Etxegarai, M., Anzaldi, G., & de-Miguel, S. (2021). Remotely sensed tree characterization in urban areas: A review. Remote Sensing, 13(23), 4889. https://doi.org/10.3390/rs13234889
Wang, Y., Niemelä, J., & Kotze, D. J. (2022). The delivery of cultural ecosystem services in urban forests of different landscape features and land use contexts. People and Nature, 4(5), 1369–1386. https://doi.org/10.1002/pan3.10394
Wang, R., Zhao, J., Meitner, M. J., Hu, Y., & Xu, X. (2019). Characteristics of urban green spaces in relation to aesthetic preference and stress recovery. Urban Forestry & Urban Greening, 41, 6-13. https://doi.org/10.1016/j.ufug.2019.03.005
Wong, C., Li, T., & Rahman, M. (2025). Differing perceptions on cultural ecosystem service values of urban forests: Recreational, aesthetic, and social benefits. Urban Forestry & Urban Greening. Advance online publication. https://doi.org/10.1016/j.ufug.2025.129005
Zhang, H., Yu, J., Dong, X., Zhai, X., & Shen, J. (2024). Rethinking cultural ecosystem services in urban forest parks: An analysis of citizens’ physical activities based on social media data. Forests, 15(9), 1633. https://doi.org/10.3390/f15091633
Zheng, S., He, C., Guldmann, J.-M., Xu, H., & Liu, X. (2023). Heat mitigation benefits of urban trees: A review of mechanisms, modeling, validation and simulation. Forests, 14(12), 2280. https://doi.org/10.3390/f14122280
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