The relationship between possum density and browse damage on kamahi in New Zealand forests

Austral Ecology

Volumn 36, Issue 7, 2011, Pages 858-869

  Duncan, Richard P ^a,b   Holland, E Penelope ^b   Pech, Roger P ^b   Barron, Mandy ^b   Nugent, Graham ^b   Parkes, John P ^b  

^a LINCOLN UNIVERSITY   (New Zealand)

^b LANDCARE RESEARCH   (New Zealand)

Author keywords

Density damage relationship; Herbivory; Hierarchical Bayesian model; Introduced herbivore; Multilevel model; Pest control

Indexed keywords

BAYESIAN ANALYSIS; BROWSING; DICOTYLEDON; FOREST CANOPY; HERBIVORY; HIERARCHICAL SYSTEM; INVASIVE SPECIES; MARSUPIAL; PEST CONTROL; PEST DAMAGE; POPULATION DENSITY; PRIORITIZATION; QUANTITATIVE ANALYSIS;

NEW ZEALAND; NORTH ISLAND;

PHALANGERIDAE; TRICHOSURUS; TRICHOSURUS VULPECULA; WEINMANNIA RACEMOSA;

EID: 80055019407     PISSN: 14429985     EISSN: 14429993     Source Type: Journal    
DOI: 10.1111/j.1442-9993.2010.02229.x     Document Type: Article

References (51)

1. Agresti A. (1990) Categorical Data Analysis. John Wiley, New York.
2. Anon. (2005) Protocol for Possum Population Monitoring Using the Trap-Catch Method. National Possum Control Agencies, Wellington.
3. Batcheler C. (1983) The possum and rata-kamahi dieback in New Zealand: a review. Pac. Sci. 37, 415-26.
4. Bellingham P., Wiser S., Hall G., Alley J., Allen R. & Suisted P. (1999) Impacts of possum browsing on the long-term maintenance of forest biodiversity. Science for Conservation 103. Department of Conservation, Wellington, New Zealand.
5. Bradshaw C., Field I., Bowman D., Haynes C. & Brook B. (2007) Current and future threats from non-indigenous animal species in northern Australia: a spotlight on World Heritage Area Kakadu National Park. Wildl. Res. 34, 419-36.
6. Brown P., Huth N., Banks P. & Singleton G. (2007) Relationship between abundance of rodents and damage to agricultural crops. Agric. Ecosyst. Environ. 120, 405-15.
7. Burnham K. P. & Anderson D. R. (2002) Model Selection and Multimodel Inference. Springer, New York.
8. Clark J. S. (2005) Why environmental scientists are becoming Bayesians. Ecol. Lett. 8, 2-14.
9. Clout M. N. & Barlow N. D. (1982) Exploitation of brushtail possum populations in theory and practice. NZ J. Ecol. 5, 29-35.
10. Clout M. & Erikson K. (2000) Anatomy of a disastrous success: the brushtail possum as an invasive species. In: The Brushtail Possum: Biology, Impact and Management of An Introduced Marsupial (ed. T. Montague) pp. 1-9. Manaaki Whenua Press, Lincoln.
11. Crawley M. (1983) Herbivory. University of California Press, Berkeley.
12. Efford M. (2000) Possum density, population structure, and dynamics. In: The Brushtail Possum: Biology, Impact and Management of An Introduced Marsupial (ed. T. L. Montague) pp. 47-61. Manaaki Whenua Press, Lincoln.
13. Forsyth D. & Parkes J. (2005) Browse on mahoe and kamahi leaf-fall as a trigger for possum control. NZ J. Ecol. 29, 311-20.
14. Gelman A. (2006) Prior distributions for variance parameters in hierarchical models. Bayesian Anal. 1, 514-34.
15. Gelman A. & Hill J. (2007) Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press, New York.
16. Gelman A. & Rubin D. B. (1992) Inference from iterative simulation using multiple sequences. Stat. Sci. 7, 457-511.
17. Guissan A. & Harrell R. E. (2000) Ordinal response regression models in ecology. J. Veg. Sci. 11, 617-26.
18. Hedecker D., Gibbons R. D. & Flay B. R. (1994) Random-effects regression models for clustered data with an example from smoking prevention research. J. Consult. Clin. Psychol. 62, 757-65.
19. Hone J. (2007) Wildlife Damage Control. CSIRO Publishing, Collingwood.
20. Hörnberg S. (2001) Changes in population density of moose (Alces alces) and damage to forests in Sweden. For. Ecol. Manage. 149, 141-51.
21. Kuhajek J., Payton I. & Monks A. (2006) The impact of defoliation on the foliar chemistry of southern rata (Metrosideros umbellata). NZ J. Ecol. 30, 237-49.
22. Lawler I., Foley W. & Eschler B. (2000) Foliar concentration of a single toxin creates habitat patchiness for a marsupial folivore. Ecology 81, 1327-38.
23. Leutert A. (1988) Mortality, foliage loss, and possum browsing in southern rata (Metrosideros umbellata) in Westland, New Zealand. NZ J. Bot. 26, 7-20.
24. McCarthy M. A. (2007) Bayesian Methods for Ecology. Cambridge University Press, Cambridge.
25. McCullagh P. (1980) Regression models for ordinal data (with discussion). J. R. Stat. Soc. B. 42, 109-42.
26. Mack R., Simberloff D., Lonsdale W., Evans H., Clout M. & Bazzaz F. (2000) Biotic invasions: causes, epidemiology, global consequences, and control. Ecol. Appl. 10, 689-710.
27. McMahon S. & Diez J. (2007) Scales of association: hierarchical linear models and the measurement of ecological systems. Ecol. Lett. 10, 437-52.
28. Marsch K., Foley W., Cowling A. & Wallis I. (2003) Differential susceptibility to secondary compounds in Eucalyptus explains feeding by the common ringtail (Pseudocheirus peregrinus) and the common brushtail possum (Trichosurus vulpecula). J. Comp. Physiol. B. Biochem. Syst. Environ. Physiol. 173, 69-78.
29. Monks A. & Efford M. (2006) Selective herbivory by brushtail possums: determining the age of ingested leaves using n-alkanes. Austral Ecol. 31, 849-58.
30. Moore B. & Foley W. (2005) Tree use by koalas in a chemically complex landscape. Nature 435, 488-90.
31. Norton D. (2000) Benefits of possum control for native vegetation. In: The Brushtail Possum: Biology, Impact and Management of An Introduced Marsupial (ed. T. Montague) pp. 232-40. Manaaki Whenua Press, Lincoln.
32. Nugent G., Sweetapple P., Coleman J. & Suisted P. (2000) Possum feeding patterns: dietary tactics of a reluctant folivore. In: The Brushtail Possum: Biology, Impact and Management of An Introduced Marsupial (ed. T. Montague) pp. 10-23. Manaaki Whenua Press, Lincoln.
33. Nugent G., Whitford J., Sweetapple P. & Duncan R. (2007) Intermittent possum control: How Long before next time? Changes in possum density, browse pressure, and canopy impacts over 6-8years after control. Landcare Research Contract Report: LC0607/165, Lincoln, New Zealand.
34. Parkes J., Robley A., Forsyth D. & Choquenot D. (2006) Adaptive management experiments in vertebrate pest control in New Zealand and Australia. Wildl. Soc. Bull. 34, 229-35.
35. Payton I. (1983) Defoliation as a means of assessing browsing tolerance in southern rata (Metrosideros umbellata Cav.). Pac. Sci. 37, 443-52.
36. Payton I. (1985) Southern rata (Metrosideros umbellata Cav.) mortality in Westland, New Zealand. In: Establishment and Tending of Subalpine Forest: Research and Management (eds H. Turner & W. Tranquillini) pp. 207-14. Proceedings of the 3rd IUFRO workshop P1.07-00, 1984, Swiss Federal Institute of Forestry Research, Report 270, Bern.
37. Payton I. (2000) Damage to native forests. In: The Brushtail Possum: Biology, Impact and Management of An Introduced Marsupial (ed. T. Montague) pp. 111-25. Manaaki Whenua Press, Lincoln.
38. Payton I., Pekelharing C. & Frampton C. (1999) Foliar Browse Index: A Method for Monitoring Possum (Trichosurus Vulpecula) Damage to Plant Species and Forest Communities. Manaaki Whenua Press, Lincoln.
39. Pekelharing C., Parkes J. & Barker R. (1998) Possum (Trichosurus vulpecula) densities and impacts on fuchsia (Fuchsia excorticata) in South Westland, New Zealand. NZ J. Ecol. 22, 197-203.
40. Peterson B. & Harrell F. (1990) Partial proportional odds models for ordinal response variables. Appl. Stat. 39, 205-17.
41. Putman R. (1996) Ungulates in temperate forest ecosystems: perspectives and recommendations for future research. For. Ecol. Manage. 88, 205-14.
42. R Development Core Team (2005) R: a Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna. version 2.10.1. Available from URL.
43. Raman R. & Hedecker D. (2005) A mixed-effects regression model for three-level ordinal response data. Stat. Med. 24, 3331-45.
44. Sessions L. & Kelly D. (2001) Heterogeneity in vertebrate and invertebrate herbivory and its consequences for New Zealand mistletoes. Austral Ecol. 26, 571-81.
45. Spiegelhalter D., Best N., Carlin B. & van der Linde A. (2002) Bayesian measures of model complexity and fit (with discussion). J. R. Stat. Soc. B. 64, 583-639.
46. Sweetapple P. & Nugent G. (1999) Provenance variation in fuchsia (Fuchsia excorticata) in relation to palatability to possums. NZ J. Ecol. 23, 1-10.
47. Sweetapple P., Nugent G., Whitford J. & Knightbridge P. (2002) Mistletoe (Tupeia antarctica) recovery and decline following possum control in a New Zealand forest. NZ J. Ecol. 26, 61-71.
48. Sweetapple P. J., Fraser K. W. & Knightbridge P. I. (2004) Diet and impacts of brushtail possum populations across an invasion front in South Westland, New Zealand. NZ J. Ecol. 28, 19-33.
49. Urlich S. C. & Bray P. J. (2005) Benefits of aerial 1080 possum control to tree fuchsia in the Tararua Range, Wellington. NZ J. Ecol. 29, 299-309.
50. Veltman C. J. & Pinder D. N. (2001) Brushtail possum mortality and ambient temperatures following aerial poisoning using 1080. J. Wildl. Manage. 65, 476-81.
51. Vitousek P., D'Antonio C., Loope L., Rejmánek M. & Westbrooks R. (1997) Introduced species: a significant component of human-caused global change. NZ J. Ecol. 21, 1-16.