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Bird Diversity Modeling Using Geostatistics and GIS

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Presented at the 12th AGILE International Conference on Geographic Information Science

Abdulhakim Abdi and Anand Nandipati

http://www.geospatialtechnologist.com/

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Bird Diversity Modeling Using Geostatistics and GIS

  1. 1. Bird Diversity Modeling Using Geostatistics and GIS 12th AGILE International Conference on Geographic Information Science Abdulhakim Abdi & Anand Nandipati Erasmus Mundus Master’s Programme in Geospatial Technologies Universidade Nova de Lisboa | Universität Münster | Universitat Jaume I
  2. 2. Introduction: Biodiversity Conservation The 2002 Rio de Janeiro World Summit on Sustainable Development set a goal to reduce the rate loss of biodoversity by 2010 Birds occupy a variety of habitats, many of them created and/or altered by humans General overall health of the environment and of key habitat types June 1, 2009 2
  3. 3. Introduction: Motivation Europe’s farmland birds have declined by almost 50% in the past 25 years Trend caused by EU-wide agricultural intensification being driven by a policy in need of urgent reform. The need to identify key areas for conservation June 1, 2009 3
  4. 4. Introduction: Motivation June 1, 2009 4
  5. 5. Introduction: Motivation June 1, 2009 5
  6. 6. Introduction: Motivation Donald P F, Green R E & Heath M F (2001) Agricultural intensification and the collapse of Europe’s farmland bird populations. Proceedings of the Royal Society 268, 25-29. June 1, 2009 6
  7. 7. Study Rationale Geostatistical Interpolation of Avian Diversity + Land Cover Information GISys Characterization of Important Habitats Assignment of Conservation Priorities June 1, 2009 7
  8. 8. Data Data provided by Sociedade Portuguesa para o Estudo das Aves - Scanned topography maps - Point counts in excel CORINE Land Cover Classes of the European Environmental Agency June 1, 2009 8
  9. 9. Study Area June 1, 2009 9
  10. 10. Study Area: Location of Bird Counts First/Migration Visit: April 15th, 2007 Second/Breeding Visit: May 18th, 2007 June 1, 2009 10
  11. 11. Georeferencing Images Data Digitize Points Preprocessing DBFs, Common Headers Variography & Methodology EDA Model Fitting Ordinary Kriging Spatial Interpolation IDW Extract Habitat Spatial Join Data from LC June 1, 2009 11
  12. 12. Methodology: Original Data June 1, 2009 12
  13. 13. Methodology: Topography Maps June 1, 2009 13
  14. 14. Methodology: Preprocessing Provided location data Digitized location data June 1, 2009 14
  15. 15. Methodology: Exploratory Data Analysis Migration Visit Breeding Visit June 1, 2009 15
  16. 16. Methodology: Exploratory Data Analysis Migration Visit # of Lags = 10 Lag Distance = 2231m Nugget Value = 6.10 Sill = 10.272 Range = 6780.29 Breeding Visit # of Lags = 10 Lag Distance= 2231m Nugget Value= 3.63 Sill = 9.69 Range = 7625.34 June 1, 2009 16
  17. 17. Methodology: Spatial Interpolation Ordinary Kriging Migration Visit Breeding Visit June 1, 2009 17
  18. 18. Methodology: Spatial Interpolation Inverse Distance Weighting Migration Visit Breeding Visit June 1, 2009 18
  19. 19. Methodology: Spatial Interpolation Increase/Decrease in the number of species during the migration visit: April 15th, 2007 June 1, 2009 19
  20. 20. Methodology: Spatial Interpolation Increase/Decrease in the number of species during the breeding visit: May 18th, 2007 June 1, 2009 20
  21. 21. Methodology: Land Cover Information June 1, 2009 European Environmental Agency 21
  22. 22. What was the outcome? June 1, 2009 22
  23. 23. Results: Inverse Distance Weighting Migration Visit Breeding Visit June 1, 2009 23
  24. 24. Results: Ordinary Kriging Migration Visit Breeding Visit June 1, 2009 24
  25. 25. Results: Error Calculation Inverse Distance Weighting Migration Visit Breeding Visit June 1, 2009 25
  26. 26. Results: Error Calculation Ordinary Kriging Migration Visit Breeding Visit June 1, 2009 26
  27. 27. Results: Prediction Standard Error Map Migration Visit Breeding Visit June 1, 2009 27
  28. 28. Conclusion Favored Habitats for Migratory Species CLC_Code LABEL 322 Moors and heathland 324 Transitional wood-shrub 212 Permanently irrigated land Favored Habitats for Breeding Species CLC_Code LABEL 323 Sclerophyllous vegetation 321 Natural grasslands 313 Mixed forest 311 Broad-leaved forest 242 Complex cultivation Moreira, F., Ferreira, P.G., Rego, F.C., & Bunting, S., 2001. Landscape changes and breeding bird assemblages in northwestern Portugal: the role of fire. Landscape Ecology, 175-187. June 1, 2009 28
  29. 29. Acknowledgements Prof. Doutor Marco Painho, Prof. Doutor Pedro Cabral and Profa Ana Cristina Costa of Instituto Superior de Estatística e Gestão de Informação, Universidade Nova de Lisboa Ana Meirinho of Sociedade Portuguesa para o Estudo das Aves This work was supported by the European Commission, Erasmus Mundus Programme, M.Sc. in Geospatial Technologies, project no.2007-0064 June 1, 2009 29
  30. 30. Thank you for your attention June 1, 2009 30

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