Technological features of cultural ecosystem services assessment
Abstract
The benefits that city residents receive from green spaces related to maintaining their health are a group of cultural ecosystem services (CES). To avoid subjectivity in the assessment of CES, there is a methodology based on determining the effectiveness of green spaces in providing them. Currently, there is no technological scheme for assessing the CES available to urban planners. Accordingly, the purpose of the paper is to highlight the technological features of the CES assessment. Methodologically, the work consists in creating a geodatabase (DB) on the state of green spaces and anthropogenic pressure on them. All the calculation indicators proposed in the methodology should be included in the database as attributes, and their calculation should be performed as working scenarios documented in the form of automated calculation models, etc. The technology is based on QGIS/SAGA spatial analysis tools (QGIS version 3.32.1-Lima), which contains the necessary basic geoprocessing algorithms and modules for calculating the CES.
The technology for estimating CES is presented in the Model_CES. The functioning of the Model_CES depends on the amount and quality of input data. As input data, the database includes information on: urban green spaces; vegetation; landscapes; areas with multi-age urban development; local areas of urban population concentration; survey statistics, etc. Attribute information is the basis for the correct operation of the Model_CES algorithms, in particular, the calculation of parameters by which it is proposed to assess the volume of CES. Adequate to the parameters, a file database in the GeoPackage format was formed in accordance with the standards of the Open Geospatial Consortium - Model_CES, which contains the input data sets: tabular: "survey_all"; vector: "Vegetation", "BGI", "local_district", "hollow", "age_consruct".
Technological procedures and algorithm for calculating CES volumes and risks of their loss in Model_CES form calculation blocks: 1. a block for determining the potential of green spaces in providing CES; 2. a block for determining the effectiveness of the green space in providing CES - the real supply of CES; 3. a block for calculating the volume of ecosystem services and the risks of their loss; 4. a block for calculating the score of alternative availability of the green space.
As a result, the proposed algorithm produces the output geodataset "BGI_CES". After the implementation of the technology, this dataset contains attribute information about each green space, in particular, their ability to provide cultural ecosystem services, efficiency in providing CES, the volume of CES and the risks of their loss.
Thus, the paper solves the scientific task of creating an assessment technology that meets the following requirements: it is suitable for processing information that is spatially distributed; it is focused on the availability of uncertain and often limited data; it is available for use by specialists of design and other institutions that may be limited in data. The presented technology can be used in urban planning practice as a tool for improving the quality of urban green spaces, their sustainable development and providing citizens with the maximum amount of CES.
Downloads
References
Grodzynskiy, M., Korohoda, N., Grodzynska, O., Svidzinska, D. (2023). Factors of perception and assessment of problems of green areas in Kyiv by its residents. Ukrainian Geographical Journal, 1, 15-22 https://doi.org/10.15407/ugz2023.01.015 [in Ukrainian]
Korohoda N. P., Kovtoniuk O. V., Halahan O. O., Kupach T. H. (2023) Geoinformation assessment of ecosystem services for controlling the rate of soil erosion in landscapes of urban green zones. Landscape Science, 4 (2), 55-67. https://doi.org/10.31652/2786-5665-2023-4-54-67 [in Ukrainian]
Korohoda N., Kupach T. (2023) Assessment of the volume of provision of cultural ecosystem services by Kyiv green zones. Visnyk of V. N. Karazin Kharkiv National University, Series "Geology. Geography. Ecology", (58), 159-170. https://doi.org/10.26565/2410-7360-2023-58-13 [in Ukrainian]
Korohoda N.P. (2023) Assessment of ecosystem traffic noise reduction service in the urban landscapes. Landscape Science, 3 (1), 56-67. https://doi.org/10.31652/2786-5665-2023-3-56-67 [in Ukrainian]
Korohoda N., YatsenkoYu. (2023) Assessment of ecosystem services to reduce the level of dust pollution in the urban air along roads. Physical geography and geomorphology, 46, 1–6 (117–119), 38-46. https://doi.org/
17721/phgg.2023.1-6.04 [in Ukrainian]
Kupach T., Korohoda N. (2022) The values of recreational importance and suitability of urban green areas for the assessment of cultural ecosystem services. Geography and Tourism 70, 71-80. https://doi.org/10.17721/2308-135X.2022.70.71-80 [in Ukrainian]
On the approval of the Rules for the maintenance of green spaces in populated areas of Ukraine (2006). Order No. 105 dated April 10, 2006, Kyiv, Ministry of Community and Territorial Development of Ukraine, 48 [in Ukrainian]
Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019: Globe (V3.0.1). M. Buchhorn, B. Smets, L. Bertels [et al.] (2020). [Data set]. Available from: https://doi.org/10.5281/zenodo.3939050
Daniel, T. C., Muhar, A., Arnberger, A., Dunk, A. (2012). Contributions of cultural services to the ecosystem services agenda. Proceedings of the National Academy of Sciences, 109 (23), 8812–8819. https://doi.org/10.1073/pnas.1114773109
Dinda, S., Ghosh, S. (2021). Perceived benefits, aesthetic preferences and willingness to pay for visiting urban parks: A case study in Kolkata, India. International Journal of Geoheritage and Parks, 9 (1), 36-50. https://doi.org/10.1016/j.ijgeop.2020.12.007
Elbakidze M., Dawson L., Kraft van Ermel LE. et al. (2023). Understanding people’s interactions with urban greenspace: Case studies in Eastern Europe. Urban Forestry & Urban Greening, 89, 128117. https://doi.org/10.1016/j.ufug.2023.128117
Elbakidze, M., Dawson, L., Milberg, P., Mikusiński, G., Hedblom, M., Kruhlov, I., Yamelynet,s T., Schaffer, C., Johansson, K-E., Grodzynskyi, M. (2022). Multiple factors shape the interaction of people with urban greenspace: Sweden as a case study. Urban Forestry & Urban Greening, 74, 127672. https://doi.org/10.1016/j.ufug.2022.127672
ESA WorldCover 10 m 2020 v100 / D. Zanaga, R. Van De Kerchove, W. De Keersmaecker [et al.] (2021). [Electronic resource]. Available from: https://doi.org/10.5281/zenodo.5571936
Fischer, L.K., Botzat, A., Honold, J., Cvejić, R., Brinkmeyer, D., Delshammar, T., et al. (2018). Recreational ecosystem services in European cities: sociocultural and geographical contexts matter for park use. Ecosystem Services, 31, 455–467. https://doi.org/10.1016/j.ecoser.2018.01.015
Hutcheson, W., Hoagland, P., Jin, D. (2018). Valuing environmental education as a cultural ecosystem service at Hudson River Park. Ecosystem Services, 31, 387–394. https://doi.org/10.1016/j.ecoser.2018.03.005
Kasparinskis R., Ruskule A., Vinogradovs I., Pecina M. V. (2018). The guidebook on ecosystem service framework in integrated planning. Riga: University of Latvia, Faculty of Geography and Earth Sciences, 63.
Ko, H., Son, Y. (2018). Perceptions of cultural ecosystem services in urban green spaces: a case study in Gwacheon, Republic of Korea. Ecological Indicators, 91,299–306. https://doi.org/10.1016/j.ecolind.2018.04.006
Korohoda N., Kovtoniuk O., Halahan O. (2023). Kyiv green areas: assessment of the functioning efficiency and volumes of ecosystem services for erosion control. Journal of Geology, Geography and Geoecology, 32 (3), 516-524. https://doi.org/10.15421/112346
Korohoda, N., Kovtoniuk, O., Halahan, O. (2022). The use of GIS and remote sensing data in determining the condition of green areas in Kyiv. XVI International Scientific Conference “Monitoring of Geological Processes and Ecological Condition of the Environment” 15–18 November 2022, Kyiv, Ukraine. https://doi.org/10.3997/2214-4609.2022580056
Korohoda N., Kovtoniuk O., Halahan O., Kupach T. (2032). Technological features of the assessment ecosystem services control of erosion rates. XVII lnternational Scientific Conference "Monitoring of Geological Processes and Ecological Condition of the Environment" 7-10 November 2023, Kyiv, Ukraine. https://eage.in.ua/wp-content/uploads/2023/11/Mon23-071.pdf
Mao, Q., Wang, L., Guo, Q., Li, Y., Liu, M. and Xu, G. (2020) Evaluating Cultural Ecosystem Services of Urban Residential Green Spaces From the Perspective of Residents' Satisfaction With Green Space. Front. Public Health, 8,.226. https://doi.org/10.3389/fpubh.2020.00226
Plieninger, T., Sebastian, D., Oteros-Rozas, S., Bieling, C. (2013). Assessing, mapping, and quantifying cultural ecosystem services at community level. Land Use Policy, 33, 118–129. https://doi.org/10.1016/j.landusepol.2012.12.013
Pochaievets O., Korohoda N. (2023). The use of GIS and remote sensing data for assessing ecosystem services for hydrological cycle and water flow regulation. XVII lnternational Scientific Conference "Monitoring of Geological Processes and Ecological Condition of the Environment" 7 - 10 November 2023, Kyiv, Ukraine. https://eage.in.ua/wp-content/uploads/2023/11/Mon23-115.pdf
Zwierzchowska, I., Hof, A., Iojă, I.C., Mueller, C., Ponizy, L., Breuste, J., et al. (2018). Multi-scale assessment of cultural ecosystem services of parks in Central European cities. Urban For Urban Green, 30, 84–97. https://doi.org/10.1016/j.ufug.2017.12.017
This work is licensed under a Creative Commons Attribution 4.0 International License.
