Estimating detection-effort curves for plants using search experiments

Ecological Applications

Volumn 21, Issue 2, 2011, Pages 601-607

  Moore, Joslin L ^a,b   Hauser, Cindy E ^a   Bear, Jennifer L ^a   Williams, Nicholas S G ^a,b   McCarthy, Michael A ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b Australian Research Centre for Urban Ecology   (Australia)

Author keywords

Australia; Bogong High Plains; Detectability; Exotic species; Hieracium aurantiacum; Iincursion; Invasive species; Orange hawkweed; Search trial; Victoria

Indexed keywords

ABUNDANCE; BIODIVERSITY; CURVATURE; DETECTION METHOD; DICOTYLEDON; ENVIRONMENTAL RESEARCH; EXPERIMENTAL STUDY; FLORISTICS; INVASIVE SPECIES; PLANT ARCHITECTURE; PLANT COMMUNITY; PROBABILITY; SURVEY DESIGN;

ANIMAL; ARTICLE; ASTERACEAE; AUSTRALIA; DEMOGRAPHY; INTRODUCED SPECIES; OBSERVER VARIATION; PHYSIOLOGY; POPULATION DENSITY; THEORETICAL MODEL;

ANIMALS; ASTERACEAE; AUSTRALIA; DEMOGRAPHY; INTRODUCED SPECIES; MODELS, THEORETICAL; OBSERVER VARIATION; POPULATION DENSITY;

HIERACIUM; HIERACIUM AURANTIACUM;

EID: 79955531657     PISSN: 10510761     EISSN: None     Source Type: Journal    
DOI: 10.1890/10-0590.1     Document Type: Article

References (33)

1. Beaumont, L. J., R. V. Gallagher, P. O. Downey, W. Thuiller, M. R. Leishman, and L. Hughes. 2009. Modelling the impact of Hieracium spp. on protected areas in Australia under future climates. Ecography 32:757-764.
2. Bogich, T. L., A. M. Liebhold, and K. Shea. 2008. To sample or eradicate? A cost minimization model for monitoring and managing an invasive species. Journal of Applied Ecology 45: 1134-1142. (Pubitemid 351951834)
3. Brown, J. A., S. Harris, and S. M. Timmins. 2004. Estimating the maximum interval between repeat surveys. Austral Ecology 29:631-636. (Pubitemid 40113000)
4. Buckland, S., D. Anderson, K. Burnham, J. Laake, D. Borchers, and L. Thomas. 2001. Introduction to distance sampling: estimating abundance of biological populations. Oxford University Press, Oxford, UK.
5. Chen, G., M. Ké ry, J. Zhang, and K. Ma. 2009. Factors affecting detection probability in plant distribution studies. Journal of Ecology 97:1383-1389.
6. Conroy, M. J., J. P. Runge, R. J. Barker, M. R. Schofield, and C. J. Fonnesbeck. 2008. Efficient estimation of abundance for patchily distributed populations via two-phase, adaptive sampling. Ecology 89:3362-3370.
7. Espie, P. 2001. Hieracium in New Zealand: ecology and management. AgResearch, Mosgiel, New Zealand.
8. Field, S. A., A. J. Tyre, and H. P. Possingham. 2005. Optimizing allocation of monitoring effort under economic and observational constraints. Journal of Wildlife Management 69:473-482. (Pubitemid 41129899)
9. Fitzpatrick, M. C., E. L. Preisser, A. M. Ellison, and J. S. Elkinton. 2009. Observer bias and the detection of lowdensity populations. Ecological Applications 19:1673-1679.
10. Frost, J. R., and L. D. Stone. 1998. Review of search theory: advances and applications to search and rescue decision support. Soza and Company, Fairfax, Virginia, USA.
11. Garrard, G. E. 2009. Dealing with imperfect detectability in biological surveys for native grassland management. Dissertation. RMIT University, Melbourne, Australia.
12. Garrard, G. E., S. A. Bekessy, M. A. McCarthy, and B. A. Wintle. 2008. When have we looked hard enough? A novel method for setting minimum survey effort protocols for flora surveys. Austral Ecology 33:986-998.
13. Hauser, C. E., and M. A. McCarthy. 2009. Streamlining "search and destroy": cost-effective surveillance for invasive species management. Ecology Letters 12:683-692.
14. Huebner, C. D. 2007. Detection and monitoring of invasive exotic plants: a comparison of four sampling methods. Northeastern Naturalist 14:183-206. (Pubitemid 47047894)
15. Kéry, M. 2004. Extinction rate estimates for plant populations in revisitation studies: importance of detectability. Conservation Biology 18:570-574. (Pubitemid 38459122)
16. Ké ry, M., and K. B. Gregg. 2003. Effects of life-state on detectability in a demographic study of the terrestrial orchid Cleistes bifaria. Journal of Ecology 91:265-273. (Pubitemid 36453392)
17. Kéry, M., and B. R. Schmidt. 2008. Imperfect detection and its consequences for monitoring for conservation. Community Ecology 9:207-216.
18. Ké ry, M, J. H. Spillmann, C. Truong, and R. Holderegger. 2006. How biased are estimates of extinction probability in revisitation studies? Journal of Ecology 94:980-986. (Pubitemid 44167957)
19. Lunn, D. J., A. Thomas, N. Best, and D. Spiegelhalter. 2000. WinBUGS-a Bayesian modelling framework: concepts, structure, and extensibility. Statistics and Computing 10: 325-337.
20. McCarthy, M. A. 2007. Bayesian methods for ecology. Cambridge University Press, Cambridge, UK.
21. Mehta, S. V., R. G. Haight, F. R. Homans, S. Polasky, and R. C. Venette. 2007. Optimal detection and control strategies for invasive species management. Ecological Economics 61: 237-245. (Pubitemid 46335880)
22. Regan, T. J., M. A. McCarthy, P. W. J. Baxter, F. Dane Panetta, and H. P. Possingham. 2006. Optimal eradication: when to stop looking for an invasive plant. Ecology Letters 9: 759-766. (Pubitemid 43883024)
23. Rout, T. M., Y. Salomon, and M. A. McCarthy. 2009. Using sighting records to declare eradication of an invasive species. Journal of Applied Ecology 46:110-117.
24. Royle, J. A., J. D. Nichols, and M. Ké ry. 2005. Modelling occurrence and abundance of species when detection is imperfect. Oikos 110:353-359. (Pubitemid 40831903)
25. Sharov, A. A., A. M. Liebhold, and E. A. Roberts. 1998. Optimizing the use of barrier zones to slow the spread of gypsy moth (Lepidoptera: Lymantriidae) in North America. Journal of Economic Entomology 91:165-174. (Pubitemid 128483344)
26. Shefferson, R. P., B. K. Sandercock, J. Proper, and S. R. Beissinger. 2001. Estimating dormancy and survival of a rare herbaceous perennial using mark-recapture models. Ecology 82:145-156. (Pubitemid 32106392)
27. Spiegelhalter, D., A. Thomas, N. Best, and D. Lunn. 2007. Open BUGS user manual, Version 3.0.2. MRC Biostatistics Unit, Cambridge, UK.
28. Tyre, A. J., B. Tenhumberg, S. A. Field, D. Niejalke, K. Parris, and H.P. Possingham. 2003. Improving precision and reducing bias in biological surveys: estimating false-negative error rates. Ecological Applications 13:1790-1801. (Pubitemid 38362250)
29. Washburn, A. R. 2002. Search and detection. Fourth edition. INFORMS, Linthicum, Maryland, USA.
30. Wenger, S. J., and M. C. Freeman. 2008. Estimating species occurrence, abundance, and detection probability using zeroinflated distributions. Ecology 89:2953-2959.
31. Williams, N. S. G., and K. D. Holland. 2007. The ecology and invasion history of hawkweeds (Hieracium species) in Australia. Plant Protection Quarterly 22:76-80. (Pubitemid 47012754)
32. Wilson, L. M., and R. H. Callihan. 1999. Meadow and orange hawkweed. Pages 238-248 in R. L. Sheley and J. K. Petroff, editors. Biology and management of noxious rangeland weeds. Oregon State University Press, Corvallis, Oregon, USA.
33. Wintle, B. A., R. P. Kavanagh, M. A. McCarthy, and M. A. Burgman. 2005. Estimating and dealing with detectability in occupancy surveys for forest owls and arboreal marsupials. Journal of Wildlife Management 69:905-917. (Pubitemid 41681616)