Spatial autocorrelation as a tool for identifying the geographical patterns of aphid annual abundance

Agricultural and Forest Entomology

Volumn 7, Issue 1, 2005, Pages 31-43

  Cocu, Nadège ^a   Harrington, Richard ^b   Hullé, Maurice ^c   Rounsevell, Mark D A ^a  

^a UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

^b ROTHAMSTED RESEARCH   (United Kingdom)

^c CEMAGREF   (France)

Author keywords

Aphids; Geographical patterns; LISA; Moran index; Myzus persicae; Spatial autocorrelation; Spatial structure; Suction trap

Indexed keywords

APHIDIDAE; INVERTEBRATA; MYZUS; MYZUS PERSICAE;

EID: 13544277017     PISSN: 14619555     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1461-9555.2005.00245.x     Document Type: Article

References (47)

1. Anselin, L. (1992) Spacetat Tutorial. University of Illinois, Urbana, Illinois.
2. Anselin, L. (1995) Local indicators of spatial association - LISA. Geographical Analysis, 27, 93-115.
3. Anselin, L. & Bao, S. (1997) Exploratory spatial data analysis linking SpaceStat and ArcView. Recent Developments in Spatial Analysis (ed. by M. M. Fischer and A. Getis), pp. 35-59. Springer, Germany.
4. Bjørnstad, O.N., Ims, R.A. & Lambin, X. (1999) Spatial population dynamics: analysing patterns and processes of population synchrony. Trends in Ecology and Evolution, 14, 427-432.
5. Blackman, R.L. & Eastop, V.F. (2000) Aphids on the World's Crops, an Identification Guide, 2nd edn. Wiley & Sons Ltd. U.K.
6. Bouchery, Y. (1990) Etude de la distance d'attraction d'un piège à succion de 12 m par une méthode de simulation. Euraphid Network: Trapping and Aphid Prognosis (ed. by R. Cavalloro), pp. 83-85. Commission of the European Communities, Luxembourg.
7. Cliff, A.D. & Ord, J.K. (1973) Spatial Autocorrelation. Pion, U.K.
8. Communautés Européennes Commission (1993) CORINE Land Cover, Guide Technique, Report EUR, 12585EN. Office for Publications of the European Communities, Luxembourg.
9. Dale, M.R.T., Dixon, P., Fortin, M.-J., Legendre, P., Myers, D.E. & Rosenberg, M.S. (2002) Conceptual and mathematical relationships among methods for spatial analysis. Ecography, 25, 558-577.
10. Epperson, B.K. (2000) Spatial and space-time correlations in ecological models. Ecological Modelling, 132, 63-76.
11. Fotheringham, A.S., Brundson, C. & Charlton, M. (2000) Quantitative Geography - Perspectives on Spatial Data Analysis. SAGE Publications Ltd, U.K.
12. Getis, A. & Ord, J.K. (1996) Local spatial statistics: an overview. Spatial Analysis: Modelling in a GIS Environment (ed. by P. Longley and M. Batty), pp. 261-277. Geoinformation International, U.K.
13. Goodridge, J.D. (1991) One hundred years of rainfall trends in California. Proceedings of the Seventh Annual Pacific Climate Workshop (Interagency Ecological Studies Program Technical Report 26) (ed. by J. M. Belancourt and V. L. Tharp), pp. 109-114. California Department of Water Resources, Asilomar, California.
14. Harrington, R., Bale, J.S. & Tatchell, G.M. (1995) Aphids in a changing climate. Insects in a Changing Environment (ed. by R. Harrington and N. E. Stork), pp. 125-155. Academic Press, U.K.
15. Harrington, R., Verrier, P., Denholm, C. et al. (2004) 'EXAMINE' (EXploitation of Aphid Monitoring in Europe): an EU Thematic Network for the study of global change impacts on aphids. Aphids in a New Millennium (ed. by J. C. Simon, C. A. Dedryver, C. Rispe and M. Hullé), pp. 45-49. INRA Editions, France.
16. Hullé, M. & Gamon, A. (1990) Relations entre les captures des pièges à. succion du reseau AGRAPHID. Euraphid Network: Trapping und Aphid Prognosis (ed. by R. Cavalloro), pp. 165-177. Commission of the European Communities, Luxembourg.
17. Hullé, M., Turpeau, E., Leclant, F. & Rahn, M.-J. (1998) Les Pucerons des Arbres Fruitiers. Cycles Biologiques et Activités de Vol. INRA -ACTA, France.
18. Jumars, P.A., Thistle, D. & Jones, M.L. (1977) Detecting two-dimensional spatial structure in biological data. Oecologia, 28, 109-123.
19. Keil, M., Mohaupt-Jahr, B., Kiefl, R. & Strunz, G. (2003) Update of the Corine Land Cover data base in Germany. Proceedings of the Fourth International Symposium: 'Remote Sensing of Urban Areas', 27-29 June 2003, Regensburg, Germany. http://www.caf.dlr.de/caf/anwendungen/projekte/ projekte_nutzung/corine/x_images/urs2003_clc 2000_Keil_et_al.pdf.
20. Koening, W.D. (1999) Spatial autocorrelation of ecological phenomena. Trends in Ecology and Evolution, 14, 22-26.
21. Legendre, P. (1993) Spatial autocorrelation: trouble or new paradigm? Ecology, 74, 1659-1673.
22. Legendre, P. & Legendre, L. (1998) Numerical Ecology. 2nd edn. Elsevier Science BV, The Netherlands.
23. Liebhold, A.M., Rossi, R.E. & Kemp, W.P. (1993) Geostatistics and geographic information systems in applied insect ecology. Annual Review of Entomology, 38, 303-327.
24. Liebhold, A.M. & Sharov, A.A. (1998) Testing for correlation in the presence of spatial autocorrelation in insect count data. Population and Community Ecology for Insect Management and Conservation (ed. by J. Baumgartner, P. Brandmayr and B. F. J. Manly), pp. 11-117. Balkema, The Netherlands.
25. Liebhold, A.M., Zhang, X., Hohn, M.E., Elkinton, J.S., Ticehurst, M., Benzon, G.L. & Campbell, R.W. (1991) Geostatistical analysis of gypsy moth (Lepidopiera: Lymantriidae) egg mass populations. Environmental Entomology, 20, 1407-1417.
26. Lindström, J., Ranta, E. & Lindén, H. (1996) Large-scale synchrony in the dynamics of capercaillie, black grouse and hazel grouse populations in Finland. Oikos, 76, 221-227.
27. Macaulay, E.D.M., Tatchell, G.M. & Taylor, L.R. (1988) The Rothamsted Insect Survey 12-metre suction trap. Bulletin of Entomological Research, 78, 121-129.
28. Moran, P.A.P. (1953) The statistical analysis of the Canadian lynx cycle. II. Synchronisation and meteorology. Australian Journal of Zoology, 1, 291-298.
29. Ord, J.K. & Getis, A. (1995) Local spatial autocorrelation statistics: distributional issues and an application. Geographical Analysis, 27, 286-306.
30. Ord, J.K. & Getis, A. (2001) Testing for local spatial autocorrelation in the presence of global autocorrelation. Journal of Regional Science, 41, 411-432.
31. Parry, M.L., ed. (2000) Assessment of Potential Effects and Adaptations for Climate Change in Europe: The Europe Acacia Project. Jackson Environment Institute. University of East Anglia, U.K.
32. Perry, J.N., Liebhold, A.M., Rosenberg, M.S., Dungan, J., Miriti, M., Jakomulska, A. & Citron-Pousty, S. (2002) Illustrations and guidelines for selecting statistical methods for quantifying spatial pattern in ecological data. Ecography, 25, 578-600.
33. Quinn, M.A., Halbert, S.E. & Williams Iii, L. (1991) Spatial and temporal changes in aphid (Homoptera: Aphididae) species assemblages collected with suction traps in Idaho. Journal of Economic Entomology, 84, 1710-1716.
34. Schotzko, D.J. & Knudsen, G.R. (1992) Use of geostatistics to evaluate a spatial simulation of Russian Wheat Aphid (Homopiera: Aphididae) movement behavior on preferred and non preferred hosts. Environmental Entomology, 21, 1271-1282.
35. Schotzko, D.J. & O'Keefe, L.E. (1989) Geostatistical description of the spatial distribution of Lygus hesperus (Heteroptera: Miridae) in lentils. Environmental Entomology, 82, 1277-1288.
36. Sharov, A.A., Liebhold, A.M. & Roberts, E.A. (1996) Spatial variation among counts of gypsy moths (Lepidoptera: Lymantriidae) in pheromone-baited traps at expanding population fronts. Environmental Entomology, 25, 1312-1320.
37. Sokal, R.R. (1978) Spatial autocorrelation in biology. 2. Some biological implications and four applications of evolutionary and ecological interest. Biological Journal of the Linnean Society, 10, 229-249.
38. Sokal, R.R. & Oden, N.L. (1978) Spatial autocorrelation in biology. 1.Methodology. Biological Journal of the Linnean Society, 10, 199-228.
39. Sokal, R.R., Oden, N.L. & Barker, J.S.F. (1987) Spatial structure in Drosophila buzzatii populations: simple and directional spatial autocorrelation. American Naturalist, 129, 122-142.
40. Sokal, R.R., Oden, N.L. & Thomson, B.A. (1998) Local spatial autocorrelation in biological variables. Biological Journal of the Linnean Society, 65, 41-62.
41. Sutcliffe, O.L., Thomas, C.D. & Moss, D. (1996) Spatial synchrony and asynchrony in butterfly population dynamics. Journal of Animal Ecology, 65, 85-95.
42. Taylor, L.R. (1979) The Rothamsted Insect Survey - an approach to the theory and practice of synoptic pest forecasting in agriculture. Movement of Highly Mobile Insects: Concepts and Methodology in Research (ed. by R. L. Rabb and G. G. Kennedy), pp. 148-185. University Graphics, Raleigh, North Carolina.
43. Taylor, L.R. (1986) Synoptic dynamics, migration and the Rothamsted Insect Survey. Journal of Animal Ecology, 55, 1-38.
44. Tobler, W.R. (1970) A computer movie simulating urban growth in the Detroit Region. Economic Geography Supplement, 46, 234-240.
45. Upton, G. & Fingleton, B. (1985) Spatial Data Analysis by Example. Point Pattern and Quantitative Data, Vol. 1. John Wiley & Sons, New York, New York.
46. Webster, R. & Oliver, M.A. (1990) Statistical Methods in Soil and Land Resource Survey. Oxford University Press, U.K.
47. Woiwod, I.P. (1982) Computer mapping of insect survey data. Euraphid Gembloux, 1982: Utilisation du Piège à Succion en Vue de Prévoir les Invasions Aphidiennes (ed. by J. Bernard), pp. 83-91. CRA, Belgium.