Should managed populations be monitored every year?

Ecological Applications

Volumn 16, Issue 2, 2006, Pages 807-819

  Hauser, Cindy E ^a   Pople, Anthony R ^a,b   Possingham, Hugh P ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b Department of Natural Resources and Mines ^*  (Australia)

Author keywords

Decision theory; Harvest; Macropus rufus; Managed populations; Monitoring regime; Optimization; Population model; Red kangaroo; South Australia

Indexed keywords

RAIN;

COST-BENEFIT ANALYSIS; DECISION MAKING; ENVIRONMENTAL MONITORING; MAMMAL; POPULATION DENSITY; POPULATION MODELING; POPULATION SIZE;

ANIMAL; AUSTRALIA; COST; DECISION THEORY; ECONOMICS; ENVIRONMENTAL PROTECTION; FOOD; INFORMATION PROCESSING; MARSUPIAL; POPULATION DENSITY; REVIEW; THEORETICAL MODEL;

ANIMALS; CONSERVATION OF NATURAL RESOURCES; COSTS AND COST ANALYSIS; DATA COLLECTION; DECISION THEORY; FOOD; MACROPODIDAE; MODELS, THEORETICAL; POPULATION DENSITY; RAIN; SOUTH AUSTRALIA;

AUSTRALASIA; AUSTRALIA; SOUTH AUSTRALIA;

MACROPUS RUFUS;

EID: 33646142072     PISSN: 10510761     EISSN: 10510761     Source Type: Journal    
DOI: 10.1890/1051-0761(2006)016[0807:SMPBME]2.0.CO;2     Document Type: Review

References (32)

1. Bayliss, P. 1985a. The population dynamics of red and western grey kangaroos in arid New South Wales, Australia. I. Population trends and rainfall. Journal of Animal Ecology 54:111-125.
2. Bayliss, P. 1985b. The population dynamics of red and western grey kangaroos in arid New South Wales, Australia. II. The numerical response function. Journal of Animal Ecology 54:127-135.
3. Cairns, S. C., and G. C. Grigg. 1993. Population dynamics of red kangaroos (Macropus rufus) in relation to rainfall in the South Australian pastoral zone. Journal of Applied Ecology 30:444-458.
4. Calder, C., M. Lavine, P. Müller, and J. S. Clark. 2003. Incorporating multiple sources of stochasticity into dynamic population models. Ecology 84:1395-1402.
5. Caughley, G. 1987. Ecological relationships. Pages 159-187 in G. Caughley, N. Shepherd, and J. Short, editors. Kangaroos: their ecology and management in the sheep rangelands of Australia. Cambridge University Press, Cambridge, UK.
6. De Valpine, P., and A. Hastings. 2002. Fitting population models incorporating process noise and observation error. Ecological Monographs 72:57-76.
7. Di Stefano, J. 2003. How much power is enough? Against the development of an arbitrary convention for statistical power calculations. Functional Ecology 17:707-709.
8. Eggeman, D. R., F. A. Johnson, M. J. Conroy, and D. H. Brakhage. 1997. Evaluation of an aerial quadrat survey for monitoring wintering duck populations. Journal of Wildlife Management 61:403-412.
9. Field, S., A. J. Tyre, N. Jonzén, J. R. Rhodes, and H. P. Possingham. 2004. Minimizing the cost of environmental management decisions. Ecology Letters 7:669-675.
10. Forcada, J. 2000. Can population surveys show if the Mediterranean monk seal colony at Cape Blanc is declining in abundance? Journal of Applied Ecology 37:171-181.
11. Gerber, L. R., M. Beger, M. A. McCarthy, and H. P. Possingham. 2005. A theory for optimal monitoring of marine reserves. Ecology Letters 8:829-837.
12. Grigg, G. C., L. A. Beard, P. Alexander, A. R. Pople, and S. C. Cairns. 1999. Survey of kangaroos in South Australia 1978-1998: a brief report focusing on methodology. Australian Zoologist 31:292-300.
13. Grigg, G. C., and A. R. Pople. 2001. Sustainable use and pest control in conservation: kangaroos as a case study. Pages 403-423 in J. D. Reynolds, G. M. Mace, K. H. Redford, and J. G. Robinson, editors. Conservation of exploited species. Cambridge University Press, Cambridge, UK.
14. Hayward, G. D., D. G. Miquelle, E. V. Smirnov, and C. Nations. 2002. Monitoring Amur tiger populations: characteristics of track surveys in snow. Wildlife Society Bulletin 30:1150-1159.
15. Jonzén, N., A. R. Pople, G. C. Grigg, and H. P. Possingham. 2005. Of sheep and rain: large-scale population dynamics of the red kangaroo. Journal of Animal Ecology 74:22-30.
16. Kendall, K. C., L. H. Metzgar, D. A. Patterson, and B. M. Steele. 1992. Power of sign surveys to monitor population trends. Ecological Applications 2:422-430.
17. McCarthy, M. A. 1996. Red kangaroo (Macropus rufus) dynamics: effects of rainfall, density dependence, harvesting and environmental stochasticity. Journal of Applied Ecology 33:45-53.
18. Pollock, K. H., J. D. Nichols, T. R. Simons, G. L. Farnsworth, L. L. Bailey, and J. R. Sauer. 2002. Large scale wildlife monitoring studies: statistical methods for design and analysis. Environmetrics 13:105-119.
19. Pople, A. R., and S. R. McLeod. 2000. Kangaroo management and the sustainable use of rangelands. Pages 78-86 in P. T. Hale, A. Petrie, D. Moloney, and P. Sattler, editors. Management for sustainable ecosystems. Centre for Conservation Biology, University of Queensland, Brisbane, Australia.
20. Possingham, H. P., S. J. Andelman, B. R. Noon, S. Trombulak, and H. R. Pulliam. 2001. Making smart conservation decisions. Pages 225-244 in M. E. Soulé and G. H. Orians, editors. Conservation biology: research priorities for the next decade. Island Press, Washington, D.C., USA.
21. Runge, M. C., and F. A. Johnson. 2002. The importance of functional form in optimal control solutions of problems in population dynamics. Ecology 83:1357-1371.
22. SADEH (South Australian Department of Environment and Heritage). 2002. The macropod conservation and management plan for South Australia: conservation and management of common kangaroos. Report, Department of Environment and Heritage, Adelaide, Australia. 〈http://www.deh.gov.au/biodiversity/trade-use/sources/management-plans/ kangaroo-sa/index.html〉
23. Shea, K., the NCEAS Working Group on Population Management. 1998. Management of populations in conservation, harvesting and control. Trends in Ecology and Evolution 13:371-374.
24. Taylor, B. L., and T. Gerrodette. 1993. The uses of statistical power in conservation biology: the vaquita and Northern Spotted Owl. Conservation Biology 7:489-500.
25. 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.
26. Walters, C. J. 1986. Adaptive management of renewable resources. Blackburn Press, Caldwell, New Jersey, USA.
27. Walters, C. J., and R. Hilborn. 1978. Ecological optimization and adaptive management. Annual Review of Ecology and Systematics 9:157-188.
28. Williams, B. K. 2001. Uncertainty, learning, and the optimal management of wildlife. Environmental and Ecological Statistics 8:269-288.
29. Yoccoz, N. G., J. D. Nichols, and T. Boulinier. 2001. Monitoring of biological diversity in space and time. Trends in Ecology and Evolution 16:446-453.
30. Yokomizo, H., P. Haccou, and Y. Iwasa. 2003a. Conservation effort and assessment of population size in fluctuating environments. Journal of Theoretical Biology 224:167-182.
31. Yokomizo, H., P. Haccou, and Y. Iwasa. 2004. Multiple-year optimization of conservation effort and monitoring effort for a fluctuating population. Journal of Theoretical Biology 230:157-171.
32. Yokomizo, H., J. Yamashita, and Y. Iwasa. 2003b. Optimal conservation effort for a population in a stochastic environment. Journal of Theoretical Biology 220:215-231.