Process from pattern in the distribution of an endangered leaf beetle

Ecography

Volumn 32, Issue 2, 2009, Pages 259-268

  Chapman, Daniel S ^a,b   Oxford, Geoff S ^a   Dytham, Calvin ^a  

^a UNIVERSITY OF YORK   (United Kingdom)

^b UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOCORRELATION; BEETLE; DICOTYLEDON; DISPERSAL; ENDANGERED SPECIES; HABITAT SELECTION;

CHRYSOLINA GRAMINIS; COLEOPTERA; TANACETUM VULGARE;

EID: 66149170377     PISSN: 09067590     EISSN: 16000587     Source Type: Journal    
DOI: 10.1111/j.1600-0587.2008.05576.x     Document Type: Article

References (36)

1. Anonymous. 2007. Biodiversity Reporting and Information group report on the species and habitat review. UK Biodiversity Partnership.
2. Anselin, L. 1993. Discrete-space autoregressive models Goodchild, M. Environmental modeling with GIS. Oxford Univ. Press 454 469.
3. Augustin, N. H. et al. 1996. An autologistic model for the spatial distribution of wildlife J. Appl. Ecol. 33 : 339 347. (Pubitemid 126571646)
4. Austin, M. P. 2002. Spatial prediction of species distribution: an interface between ecological theory and statistical modelling Ecol Model. 157 : 101 118.
5. Austin, M. 2007. Species distribution models and ecological theory: a critical assessment and some possible new approaches Ecol. Model. 200 : 1 19.
6. Besag, J. E. 1972. Nearest neighbour systems and auto-logistic model for binary data J. R. Statist Soc. B 34 : 75 83.
7. Binzenhöfer, B. et al. 2005. Habitat models and habitat connectivity analysis for butterflies and burnet moths: the example of Zygaena carniolica and Coenonympha arcania Biol. Conserv. 126 : 247 259. (Pubitemid 41113250)
8. Burnham, K. P. Anderson, D. R. 2002. Model selection and multi-model inference: a practical information-theoretic approach. - Springer.
9. Chapman, D. S. et al. 2006. Ecology of the tansy beetle (Chrysolina graminis) in Britain Naturalist, Hull 131 : 41 54.
10. Chapman, D. S. et al. 2007a. Modelling population redistribution in a leaf beetle: an evaluation of alternative dispersal functions J. Anim. Ecol. 76 : 36 44. (Pubitemid 46018394)
11. Chapman, D. S. et al. 2007b. Landscape and fine-scale movements of a leaf beetle: The importance of boundary behaviour Oecologia 154 : 55 64. (Pubitemid 47583392)
12. Cox, M. L. 2007. Atlas of the seed and leaf beetles of Britain and Ireland. Pisces Publ.
13. Dormann, C. F. 2007. Assessing the validity of autologistic regression Ecol. Model. 207 : 234 242. (Pubitemid 47362484)
14. Dormann, C. F. et al. 2007. Methods to account for spatial autocorrelation in the analysis of species distributional data: a review Ecography 30 : 609 628.
15. Englund, G. Hambäck, P. A. 2004. Scale dependence of emigration rates Ecology 85 : 320 327. (Pubitemid 38329460)
16. Fielding, A. H. Bell, J. F. 1997. A review of methods for the assessment of prediction errors in conservation presence/absence models Environ. Conserv. 24 : 38 49. (Pubitemid 27376840)
17. Fortin, M. J. Dale, M. R. T. 2005. Spatial analysis - a guide for ecologists. Cambridge Univ.
18. Griffith, D. A. Peres-Neto, P. R. 2006. Spatial modeling in ecology: the flexibility of eigenfunction spatial analyses Ecology 87 : 2603 2613.
19. Guisan, A. Zimmermann, N. E. 2000. Predictive habitat distribution models in ecology Ecol. Model. 135 : 147 186. (Pubitemid 32102782)
20. Hastie, T. J. Tibshirani, R. J. 1990. Generalized additive models. Chapman and Hall.
21. He, F. L. et al. 2003. Autologistic regression model for the distribution of vegetation J. Agric. Biol. Environ Stat. 8 : 205 222.
22. Keitt, T. H. et al. 2002. Accounting for spatial pattern when modeling organism-environment interactions Ecography 25 : 616 625.
23. Keymer, J. E. et al. 2000. Extinction thresholds and metapopulation persistence in dynamic landscapes Am. Nat. 156 : 478 494.
24. Kühn, I. 2007. Incorporating spatial autocorrelation may invert observed patterns Divers. Distrib. 13 : 66 69. (Pubitemid 46072530)
25. Legendre, P. 1993. Spatial autocorrelation - trouble or new paradigm? Ecology 74 : 1659 1673. (Pubitemid 24408336)
26. Lichstein, J. W. et al. 2002. Spatial autocorrelation and autoregressive models in ecology Ecol. Monogn. 72 : 445 463. (Pubitemid 36219454)
27. Matlack, G. R. Leu, N. A. 2007. Persistence of dispersal-limited species in structured dynamic landscapes Ecosystems 10 : 1287 1298.
28. Miller, J. et al. 2007. Incorporating spatial dependence in predictive vegetation models Ecol. Model. 202 : 225 242. (Pubitemid 46356707)
29. Ovaskainen, O. Hanski, I. 2004. Metapopulation dynamics in highly fragmented landscapes Hanski, I. Gaggiotti, O. E. Ecology, genetics and evolution of metapopulations. Elsevier Academic Press 73 104.
30. Oxford, G. S. et al. 2003. The jewel of York - ecology and conservation of the tansy beetle Br. Wildl. 14 : 332 337.
31. Sivell, D. 2003. The ecology and conservation of the tansy beetle Chrysolina graminis Ph.D. thesis. Dep of Biology, Univ. of York.
32. Svenning, J. C. Skov, F. 2004. Limited filling of the potential range in European tree species Ecol. Lett. 7 : 565 573. (Pubitemid 38851780)
33. Thomas, C. D. Hanski, I. 2004. Metapopulation dynamics in changing environments: butterfly responses to habitat and climate change Hanski, I. Gaggiotti, O. E. Ecology, genetics and evolution of metapopulations. Elsevier Academic Press 489 514.
34. van Teeffelen, A. J. A. Ovaskainen, O. 2007. Can the cause of aggregation be inferred from species distributions? Oikos 116 : 4 16. (Pubitemid 46103011)
35. Wintle, B. A. Bardos, D. C. 2006. Modeling species-habitat relationships with spatially autocorrelated observation data Ecol. Appl. 16 : 1945 1958. (Pubitemid 44536939)
36. Wood, S. N. 2008. Fast stable direct fitting and smoothness selection for generalized additive models J. R. Stat. Soc. B 70 : 495 518.