Skip Navigation Links
Journal of Environmental Accounting and Management
Dmitry Kovalevsky (editor), Jiazhong Zhang(editor)
Dmitry Kovalevsky (editor)

Climate Service Center Germany (GERICS), Helmholtz-Zentrum Hereon, Fischertwiete 1, 20095 Hamburg, Germany

Fax: +49 (0) 40 226338163 Email: dmitry.v.kovalevsky@gmail.com

Jiazhong Zhang (editor)

School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China

Fax: +86 29 82668723 Email: jzzhang@mail.xjtu.edu.cn


Assessment of Urban Plantations Spatial-Temporal Structure

Journal of Environmental Accounting and Management 10(1) (2022) 39--47 | DOI:10.5890/JEAM.2022.03.005

Maria Martynova

Department of Forestry and Landscape Design, Federal State Budgetary Educational Establishment of Higher Education Bashkir State Agrarian University, Ufa, 450001, Russia

Download Full Text PDF

 

Abstract

The spatial-temporal distribution of vegetation within an urban environment is known as ``green space'' and is a fundamental component of an urban environment. The study aims to assess the spatial-temporal structure of plantations in Ufa, including using satellite images. The studies covered urban forests, plantations of general use in Ufa. It has been determined that most of the Ufa urban forestry territory is occupied by deciduous plantations - 90.6% of the forested area, conifers - 4.2%. The plantations of Ufa's common areas in 2019 amounted to 1,236.5 hectares, of which parks prevail - 66.6%. The location of plantings of common areas in the city's districts is uneven: objects are most widespread in the Kirovsky district (37.7%). The correlation dependence between green spaces and the number of residents by administrative districts was r = 0.43 $\pm $ 0.03. The increase in the area of plantations of common areas is confirmed by the analysis of the land area by types of Ufa's underlying surface for 1987-2018, carried out based on the calculation of the ARVI vegetation index based on Landsat-5 and Landsat-8 satellite images. A significant increase in the area occupied by tree and shrub vegetation + 10,875.2 hectares was revealed, with a reduction in the surface type ``open soil'' - -2,666.07 hectares and ``without vegetation'' - -1,393.83 hectares ($t _{calc.} = - 0.002$; $t _{0.05 tab.} = 2.306$). The transformation of the urban area over 30 years is due to increased green spaces in common areas and the construction of roads, buildings, and structures.

Acknowledgments

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. The author declares that there is no competing interests.

References

  1. [1]  Arekhi, M., Yilmaz, O.Y., Yilmaz, H., and Aky\"{u}z, Y.F. (2017), Can tree species diversity be assessed with Landsat data in a temperate forest?, Environmental Monitoring and Assessment, 189, 586.
  2. [2]  Atkina, L.I. and Agafonova, A.L. (2009), Experience of using small-leaved linden for phytomonitoring in Yekaterinburg, Bulletin of the St. Petersburg Forestry Academy, 189, 20-24.
  3. [3]  Breuste, J. and Rahimi, A. (2015), Many public urban parks, but who profits from them? The example of Tabriz, Iran, Ecological Processes, 4, 6.
  4. [4]  Bukharina, I.L. and Dvoeglazova, A.A. (2010), Bioecological features of herbaceous and woody plants in urban plantations: monograph, Publishing house ``Udmurt University'': Izhevsk.
  5. [5]  Chen, B., Xiao, X., Li, X., Pan, L., Doughty, R., Ma, J., Dong, J., Qin, Y., Zhao, B., Wu, Z., Sun, R., Lan, G., Xie, G., Clinton, N, and Giri, C. (2017), A mangrove forest map of China in 2015: analysis of time series Landsat 7/8 and sentinel-1A imagery in Google earth engine cloud computing platform, ISPRS Journal of Photogrammetry and Remote Sensing, 131, 104-120.
  6. [6]  Cherepanov, A.S. and Druzhinin, E.G. (2009), Spectral properties of vegetation and vegetation indices, Geomatics, 3, 28-32.
  7. [7]  Department of Economic and Social Affairs (2015), World Population Ageing 2015, New York, United Nations.
  8. [8]  Forest Code of the Russian Federation (2006), Forest Code of the Russian Federation: from 04 December 2006 No. 200-FZ: adopted by the State, Duma 08 November 2006: approved by Federation Council 24 November 2006: (as revised on July 31, 2020). Available at: http://docs.cntd.ru/document/902017047 (accessed 12 October 2020)
  9. [9]  Gaire, N.P., Koirala, M., Bhuju, D.R., and Carrer, M. (2017), Site-and species-specific treeline responses to climatic variability in eastern Nepal Himalaya, Dendrochronologia, 41, 44-56.
  10. [10]  Gordon, A., Simondson, D., White, M., Moilanen, A., and Bekessy, S.A. (2009), Integrating conservation planning and landuse planning in urban landscapes, Landscape and Urban Planning, 91, 183-194.
  11. [11]  Grahn, P. and Stigsdotter, U.A. (2003), Landscape planning and stress, Urban Forestry and Urban Greening, 2, 1-18.
  12. [12]  Jim, C.Y. and Chen, W.Y. (2006), Impacts of urban environmental elements on residential housing prices in Guangzhou (China), Landscape and Urban Planning, 78(4), 422-434.
  13. [13]  Jing, Z., Benin, D., Snezhko, V., Vorona-Slivinskaya, L., and Aksenov, I. (2020), Mechanical stresses in building structures and dry friction-ways to improve the durability of architectural structures, Journal of Advanced Research in Dynamical and Control Systems, 12(2), 578-585.
  14. [14]  Land Code of the Russian Federation (2001), Land Code of the Russian Federation: from 25 October 2001 No 136-FZ: adopted by the State Duma on September 28. 2001: approved by the Federation Council October 10. 2001: (as amended on 07/31/2020), SPS ``ConsultantPlus''. Available at: http://www.consultant.ru/document/cons{\_}doc{\_}LAW{\_}33773/ (accessed 12 October 2020)
  15. [15]  Liu, L., Coops, N.C., Aven, N.W., and Pang, Y. (2017), Mapping urban tree species using integrated airborne hyperspectral and LiDAR remote sensing data, Remote Sensing of Environment, 200, 170-182.
  16. [16]  Maas, J., Verheij, R.A., Spreeuwenberg, P., and Groenewegen, P.P. (2008), Physical activity as a possible mechanism behind the relationship between green space and health: a multilevel analysis, BMC Public Health, 8, 206.
  17. [17]  Masek, J.G. (2001), Stability of boreal forest stands during recent climate change: evidence from Landsat satellite imagery, Journal of Biogeography, 28, 967-976.
  18. [18]  Megahed, Y., Cabral, P., Silva, J., and Caetano, M. (2015), Land Cover Mapping Analysis and Urban Growth Modelling Using Remote Sensing Techniques in Greater Cairo Region---Egypt, ISPRS International Journal of Geo-Information, 4, 1750-1769.
  19. [19]  Menberg, K., Bayer, P., Zosseder, K., Rumohr, S., and Blum, P. (2013), Subsurface urban heat islands in German cities, Science of The Total Environment, 442, 123-133.
  20. [20]  Nowak, D.J. and Dwyer, J.F. (2007), Understanding the Benefits and Costs of Urban Forest Ecosystems, in: Kuser J E, eds. Urban and Community Forestry in the Northeast, Springer: Dortrecht, p. 25-46.
  21. [21]  Nowak, D.J., Noble, M.N., Sisinni, S.M., and Dwyer, J.F. (2001), People and trees: assessing the US urban forest resource, Journal of Forestry, 99(3), 37-42.
  22. [22]  On approval of the Forest Plan of the Republic of Bashkortostan (2018), On approval of the Forest Plan of the Republic of Bashkortostan: Decree of the Head of the Republic of Bashkortostan dated December 27, 2018 No. UG-340. Available at: http://docs.cntd.ru/document/550343065 (accessed 12 October 2020)
  23. [23]  Pauleit, S., Ennos, R., and Golding, Y. (2005), Modeling the environmental impacts of urban land use and land cover change---a study in Merseyside, UK, Landscape and Urban Planning, 71, 295-310.
  24. [24]  Rajchandar, P., Bhowmik, A.K., Cabral, P., Zamyatin, A., Almegdadi, O., and Wang, S. (2017), Modelling Urban Sprawl Using Remotely Sensed Data: A Case Study of Chennai City, Tamilnadu, Entropy, 19, 163.
  25. [25]  Rysin, S.L., Trusov, N.A., and Yatsenko, I.O. (2015), Features of the organization to monitor valuable woody plants in urbanized areas, Forestry Bulletin, 5, 140-144.
  26. [26]  Sabet Sarvestani, M., Ibrahim, A.L., and Kanaroglou, P. (2011), Three decades of urban growth in the city of Shiraz, Iran: A remote sensing and geographic information systems application, Cities, 28, 320-329.
  27. [27]  Shackleton, S., Chinyimba, A., Hebinick, P., Shackleton, C., and Kaoma, H. (2015), Multiple benefits and values of trees in urban landscapes in two towns in northern South Africa, Landscape and Urban Planning, 136, 76-86.
  28. [28]  Singh, C., Panigrahy, S., and Pariharc, J. (2011), Alpine vegetation ecotone dynamics in Gangotri catchment using remote sensing techniques, in: Internaitonal Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Bhopal, p. 36-38.
  29. [29]  Trenberth, K.E. and Shea, D.J. (2005), Relationships between precipitation and surface temperature, Geophysical Research Letters, 32, 1-4.
  30. [30]  Tyrv\"{a}inen, L., Pauleit, S., Seeland, K., and De Vries, S. (2005), Benefits and uses of urban forests and trees, in: Konijnendijk C, Nilsson K, Randrup T, Schipperijn J eds. Urban Forests and Trees: A Reference Book, Springer: Berlin, Heidelberg, p. 81-114.
  31. [31]  Virtanen, R., Luoto, M., R\"{a}m\"{a}, T., Mikkola, K., Hjort, J., Grytnes, J.-A., and Birks, H.J.B. (2010), Recent vegetation changes at the high-latitude tree line ecotone are controlled by geomorphological disturbance, productivity and diversity, Global Ecology and Biogeography, 19, 810-821.
  32. [32]  Wang, W., Jia, M., Wang, G., Zhu, W., and McDowell, N.G. (2017), Rapid warming forces contrasting growth trends of subalpine fir (Abies fabri) at higher-and lower-elevations in the eastern Tibetan plateau, Forest Ecology and Management, 402, 135-144.
  33. [33]  Weisberg, P.J., Shandra, O., and Becker, M.E. (2013), Landscape influences on recent timberline shifts in the Carpathian Mountains: abiotic influences modulate effects of land-use change, Arctic, Antarctic, and Alpine Research, 45, 404-414.
  34. [34]  Westphal, L.M. (2003), Social Aspects of Urban Forestry: Urban Greening and Social Benefits: a Study of Empowerment Outcomes, Journal of Arboriculture, 29(3), 137-147.
  35. [35]  Zinnert, J.C., Shiflett, S.A., Vick, J.K., and Young, D.R. (2011), Woody vegetative cover dynamics in response to recent climate change on an Atlantic coast barrier island: a remote sensing approach, Geocarto International, 26, 595-612.