Skip to main content
SpringerLink
Log in

Ecosystem Services Along the Urban–Rural–Natural Gradient: An Approach for a Wide Area Assessment and Mapping

  • Conference paper
  • First Online:
Computational Science and Its Applications -- ICCSA 2015 (ICCSA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9157))

Included in the following conference series:

Abstract

Landscapes can be viewed as a continuum and studied using spatial gradients along which environmental modifications determine the structural and functional components of ecosystems. The analysis and quantification of Ecosystem Services, intended as the benefits people obtain from ecosystems, play a crucial role in sustainable landscape planning. In this framework we developed a novel method for the identification and characterization of the landscapes nested along the urban-rural-natural gradient and the analysis of potential ES supply and demand within said landscapes. The Kernel Density Estimation technique was applied to calculate continuous intensity indicators associated with urbanization, agriculture, and natural elements, considered as key components of the gradient. The potential ES demand and supply within each landscape area were assessed using expert–knowledge based indices associated to the LULC CORINE classes. Results showed a complex organization of “pillar” and transitional landscapes along the gradient, which match different bundles of ES demand and supply.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Forman, R.T.T.: Some general principles of landscape and regional ecology. Landscape Ecology 10, 133–142 (1995)

    Article  Google Scholar 

  2. Bridges, L., Crompton, A., Schaffer, J.: Landscapes as gradients: The spatial structure of terrestrial ecosystem components in southern Ontario Canada. Ecological Complexity 4, 34–41 (2007)

    Article  Google Scholar 

  3. Forman, R.T.T., Godron, M.: Landscape ecology. John Wiley and Sons, New York (1986)

    Google Scholar 

  4. Luck, M., Wu, J.: A gradient analysis of urban landscape pattern: a case study from the Phoenix metropolitan region, Arizona USA. Landscape Ecology 17, 327–339 (2002)

    Article  Google Scholar 

  5. McDonnell, M.J., Pickett, S.T.A.: Ecosystem structure and function along urban rural gradients - an unexploited opportunity for ecology. Ecology 71, 1232–1237 (1990)

    Article  Google Scholar 

  6. McDonnell, M.J., Hahs, A.K.: The use of gradient analysis studies in advancing our understanding of the ecology of urbanizing landscapes: current status and future directions. Landscape Ecology 23, 1143–1155 (2008)

    Article  Google Scholar 

  7. Burrough, P.A., Frank, A.U.: Geographic objects with indeterminate boundaries. Taylor & Francis (1996)

    Google Scholar 

  8. Cavailhès, J., Peeters, D., Sékeris, E., Thisse, J.-F.: The periurban city: why to live between the suburbs and the countryside. Regional Science and Urban Economics 34, 681–703 (2004)

    Article  Google Scholar 

  9. Valentini, A.: Il senso del confine – Colloquio con Piero Zanini. Ri-Vista Ricerche per la Progettazione del Paesaggio 4, 70–74 (2006)

    Google Scholar 

  10. Vejre, H., Jensen, F.S., Thorsen, B.J.: Demonstrating the importance of intangible ecosystem services from peri-urban landscapes. Ecological Complexity 7(3), 338–348 (2010)

    Article  Google Scholar 

  11. Llausàs, A., Nogué, J.: Indicators of landscape fragmentation: The case for combining ecological indices and the perceptive approach. Ecological Indicators 15(1), 85–91 (2012)

    Article  Google Scholar 

  12. Baker, W.L.: A review of models of landscape change. Landscape Ecology 2, 111–133 (1989)

    Article  Google Scholar 

  13. Pryor, R.J.: Defining the rural-urban fringe. Social Forces 47, 202–215 (1968)

    Article  Google Scholar 

  14. Thapa, R., Murayama, Y.: Land evaluation for peri-urban agriculture using analytical hierarchical process and geographic information system techniques: A case study of Hanoi. Land Use Policy 25, 225–239 (2008)

    Article  Google Scholar 

  15. Wehrwein, G.S.: The rural-urban fringe. Economic Geography 18, 217 (1942)

    Article  Google Scholar 

  16. Brook, R., Davila, J.D.: The peri-urban interface: a tale of two cities. Development Planning Unit, UCL (2000)

    Google Scholar 

  17. Vizzari, M., Sigura, M.: Landscape sequences along the urban–rural–natural gradient: A novel geospatial approach for identification and analysis. Landscape and Urban Planning 140, 42–55 (2015)

    Article  Google Scholar 

  18. Potschin, M.: Land use and the state of the natural environment. Land Use Policy 26, 170–177 (2009)

    Article  Google Scholar 

  19. Wiggering, H., Dalchow, C., Glemnitz, M., Helming, K., Müller, K., Schultz, A., Stachow, U., Zander, P.: Indicators for multifunctional land use - Linking socio-economic requirements with landscape potentials. Ecological Indicators 6(1), 238–249 (2006)

    Article  Google Scholar 

  20. Plieninger, T., Dijks, S., Oteros-Rozas, E., Bieling, C.: Assessing, mapping, and quantifying cultural ecosystem services at community level. Land Use Policy 33, 118–129 (2013)

    Article  Google Scholar 

  21. Vizzari, M.: Spatial modelling of potential landscape quality. Applied Geography 31, 108–118 (2011)

    Article  Google Scholar 

  22. Sigura, M., Peccol, E., Piani, L.: High Nature Value Farmland (Hnvf) and Ecological Networks: Their Role in the Sustainability of Trans Border Regions. disP – The Planning Review 46(183), 60–68 (2010)

    Article  Google Scholar 

  23. Vizzari, M.: Spatio-temporal analysis using urban-rural gradient modelling and landscape metrics. In: Murgante, B., Gervasi, O., Iglesias, A., Taniar, D., Apduhan, B.O. (eds.) ICCSA 2011, Part I. LNCS, vol. 6782, pp. 103–118. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  24. Modica, G., Vizzari, M., Pollino, M., Fichera, C.R., Zoccali, P., Di Fazio, S.: Spatio-temporal analysis of the urban–rural gradient structure: an application in a Mediterranean mountainous landscape (Serra San Bruno, Italy). Earth System Dynamics 3, 263–279 (2012)

    Article  Google Scholar 

  25. Vizzari, M., Sigura, M.: Urban–rural gradient detection using multivariate spatial analysis and landscape metrics. Journal of Agricultural Engineering XLIV 91(1), 453–459 (2013)

    Google Scholar 

  26. Gentili, S., Sigura, M., Bonesi, L.: Decreased small mammals species diversity and increased population abundance along a gradient of agricultural intensification. Hystrix, the Italian Journal of Mammalogy 25(1), (2014)

    Google Scholar 

  27. Bailey, T.C., Gatrell, A.C.: Interactive spatial data analysis. Longman, Harlow (1995)

    Google Scholar 

  28. Cai, X., Wu, Z., Cheng, J.: Using kernel density estimation to assess the spatial pattern of road density and its impact on landscape fragmentation. International Journal of Geographical Information Science 27(2), 222–230 (2013)

    Article  Google Scholar 

  29. Gatrell, A.C., Bailey, T.C., Diggle, P.J., Rowlingson, B.S.: Spatial Point Pattern Analysis and Its Application in Geographical Epidemiology. Transactions of the Institute of British Geographers 21, 256–274 (1996)

    Article  Google Scholar 

  30. Borruso, G.: Network Density Estimation: A GIS approach for analysing point patterns in a network space. Transactions in GIS 12, 377–402 (2008)

    Article  Google Scholar 

  31. Jones, M.C., Marron, J.S., Sheather, S.J.: A Brief Survey of Bandwidth Selection for Density Estimation. Journal of the American Statistical Association 91, 401–407 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  32. Danese, M., Lazzari, M., Murgante, B.: Kernel density estimation methods for a geostatistical approach in seismic risk analysis: the case study of potenza hilltop town (southern italy). In: Gervasi, O., Murgante, B., Laganà, A., Taniar, D., Mun, Y., Gavrilova, M.L. (eds.) ICCSA 2008, Part I. LNCS, vol. 5072, pp. 415–429. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  33. Lloyd, C.D.: Local models for spatial analysis. CRC Press (2007)

    Google Scholar 

  34. Everitt, B.S., Landau, S., Leese, M., Stahl, D., Shewhart, W.A., Wilks, S.S.: Cluster Analysis, 5th edn. Wiley Series in Probability and Statistics (2011)

    Google Scholar 

  35. Irvin, B.J., Ventura, S.J., Slater, B.K.: Fuzzy and isodata classification of landform elements from digital terrain data in Pleasant Valley Wisconsin. Geoderma 77, 137–154 (1997)

    Article  Google Scholar 

  36. Macqueen, J.B.: Some methods for quantification of the multivariate observations, western management science institute, University of California, working paper 96 (1967)

    Google Scholar 

  37. Ball, G.H., Hall, D.J.: ISODATA, a novel method of data analysis and pattern classification. Stanford Research Institute, Menlo Park (1965)

    Google Scholar 

  38. Ali, A., de Bie, C.A.J.M., Skidmore, A.K., Scarrott, R.G., Hamad, A., Venus, V., Lymberakis, P.: Mapping land cover gradients through analysis of hyper-temporal NDVI imagery. International Journal of Applied Earth Observation and Geoinformation 23, 301–312 (2013)

    Article  Google Scholar 

  39. Lioubimtseva, E., Defourny, P.: GIS-based landscape classification and mapping of European Russia. Landscape and Urban Planning 44, 63–75 (1999)

    Article  Google Scholar 

  40. Richards, J.A.: Remote Sensing Digital Image Analysis: An Introduction. Springer, Berlin (1999)

    Book  Google Scholar 

  41. Usha, K., Singh, B.: Potential applications of remote sensing in horticulture: a review. Scientia Horticulturae 153, 71–83 (2013)

    Article  Google Scholar 

  42. Van der Kwast, J., Uljee, I., Engelen, G., Van de Voorde, T., Canters, F., Lavalle, C.: Using remote sensing derived spatial metrics for the calibration of land-use change models. Joint Urban Remote Sensing Event, pp. 1−9 (2009)

    Google Scholar 

  43. Millennium Ecosystem Assessment: Ecosystems and Human Well-being: Synthesis. Island Press/World Resources Institute, Washington, DC (2005)

    Google Scholar 

  44. Burkhard, B., Kroll, F., Nedkov, S., Müller, F.: Mapping ecosystem services, supply and budgets. Ecological Indicators 21, 17–29 (2012)

    Article  Google Scholar 

  45. de Groot, R., Alkemade, R., Braat, L., Hein, L., Willemen, L.: Challenges in integrating the concept of ecosystem services and values in landscape planning, management and decision making. Ecological Complexity 7, 260–272 (2010)

    Article  Google Scholar 

  46. Haines-Young, R., Potschin, M.: Landscapes, sustainability and the place-based analysis of ecosystem services. Landscape Ecology 28, 1053–1065 (2012)

    Google Scholar 

  47. Costanza, R., D’Arge, R., de Groot, R.S., Farber, S., Grasso, M., Hannon, B., Limburg, K., Naeem, S., O’Neill, R.V., Paruelo, J., Raskin, R.G., Sutton, P., van den Belt, M.: The value of world’s ecosystem services and natural capital. Nature 387, 253–260 (1997)

    Article  Google Scholar 

  48. Vizzari, M., Sigura, M., Antognelli, S.: Ecosystem services demand, supply and budget along the urban-rural-natural gradient. In: The 43th International Symposium on Agricultural Engineering, Actual Tasks on Agricultural Engineering, February 24-27, Opatija, Croatia, pp. 473−484 (2015)

    Google Scholar 

  49. Fisher, B., Turner, K.R.: Ecosystem services: classification for valuation. Biological Conservation 141, 1167–1169 (2008)

    Article  Google Scholar 

  50. Naidoo, R. Balmford, A., Costanza, R., Fisher, B., Green, R.E. Lehner, B., Malcolm, T.R., Ricketts, T.H.: Global mapping of ecosystem services and conservation priorities. In: Daily, G.C. (eds.) Proceedings of the National Academy of Sciences of United States of America, vol. 105, pp. 9495–9500 (2008)

    Google Scholar 

  51. Gimona, A., van der Horst, D.: Mapping hotspots of landscape functions: a case study on farmland afforestation in Scotland. Landscape Ecology 22(8), 1255–1264 (2007)

    Article  Google Scholar 

  52. Burkhard, B., Kroll, F.: Maps of ecosystem services, supply and demand. In: Cleveland, C.J. (eds.) Encyclopedia of Earth, Environmental Information Coalition. National Council for Science and the Environment, Washington, D.C. (2010)

    Google Scholar 

  53. Bastian, O., Haase, D., Grunewald, K.: Ecosystem properties, potentials and services – The EPPS conceptual framework and an urban application example. Ecological Indicators 21, 7–16 (2012)

    Article  Google Scholar 

  54. Burkhard, B., Kroll, F., Müller, F.: Landscapes’ Capacities to Provide Ecosystem Services – a Concept for Land-Cover Based Assessments. Landscape online 15, 1–22 (2009)

    Google Scholar 

  55. Levine, N.: Crime Mapping and the Crimestat Program. Geographical Analysis 38(1), 41–56 (2006)

    Article  Google Scholar 

  56. Hengl, T.: Finding the right pixel size. Computers & Geosciences 32, 1283–1298 (2006)

    Article  Google Scholar 

  57. Burkhard, B., Kandziora, M., Hou, Y., Müller, F.: Ecosystem Service Potentials, Flows and Demands – Concepts for Spatial Localisation. Indication and Quantification. Landscape Online 32, 1–32 (2014)

    Article  Google Scholar 

  58. Jacobs, S., Burkhard, B., Van Daele, T., Staes, J., Schneiders, A.: The Matrix Reloaded: A review of expert knowledge use for mapping ecosystem services. Ecological Modelling 295, 21–30 (2015)

    Article  Google Scholar 

  59. Kruskal, W.H., Wallis, W.A.: Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association 47(260), 583–621 (1952)

    Article  MATH  Google Scholar 

  60. Hollander, M., Wolfe, D.A.: Nonparametric Statistical Methods. John Wiley & Sons, pp. 115−120 (1973)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Agricultural, Food, and Environmental Sciences, University of Perugia, Perugia, Italy

    Marco Vizzari & Sara Antognelli

  2. INRA, UMR 1041 CESAER, Dijon, France

    Mohamed Hilal

  3. Department of Agricultural and Environmental Sciences, University of Udine, Udine, Italy

    Maurizia Sigura

  4. Laboratoire ThéMA UMR 6049 Centre National de la Recherche Scientifique, Université de Franche-Comté, Besançon, France

    Daniel Joly

Authors
  1. Marco Vizzari
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sara Antognelli
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mohamed Hilal
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Maurizia Sigura
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Daniel Joly
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Marco Vizzari .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Canaanland, Nigeria

    Sanjay Misra

  4. University of Calgary, Calgary, Alberta, Canada

    Marina L. Gavrilova

  5. University of Minho, Braga, Portugal

    Ana Maria Alves Coutinho Rocha

  6. Polytechnic University, Bari, Italy

    Carmelo Torre

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Vizzari, M., Antognelli, S., Hilal, M., Sigura, M., Joly, D. (2015). Ecosystem Services Along the Urban–Rural–Natural Gradient: An Approach for a Wide Area Assessment and Mapping. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2015. ICCSA 2015. Lecture Notes in Computer Science(), vol 9157. Springer, Cham. https://doi.org/10.1007/978-3-319-21470-2_54

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-21470-2_54

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21469-6

  • Online ISBN: 978-3-319-21470-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation