Willow grouse bag size is more sensitive to variation in hunter effort than to variation in willow grouse density

Oikos

Volumn 120, Issue 11, 2011, Pages 1667-1673

  Willebrand, Tomas ^a   Hörnell Willebrand, Maria ^a   Asmyhr, Lasse ^a,b  

^a INLAND NORWAY UNIVERSITY OF APPLIED SCIENCES   (Norway)

^b UNIVERSITY OF TROMSØ   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

ABUNDANCE; ANNUAL VARIATION; BREEDING POPULATION; GAMEBIRD; HUNTING; POPULATION DYNAMICS; TRACKING;

JAMTLAND; SWEDEN;

ANIMALIA; LAGOPUS LAGOPUS; SALIX; TETRAONIDAE;

EID: 80055074893     PISSN: 00301299     EISSN: 16000706     Source Type: Journal    
DOI: 10.1111/j.1600-0706.2011.19204.x     Document Type: Article

References (34)

1. Aanes S. et al. 2002. Sustainable harvesting strategies of willow grouse in a fluctuating environment. Ecol. Appl. 12: 280-291.
2. Berryman A. and Turchin P. 2000. Identifying the density- dependence structure underlying ecological time series. Oikos 92: 106-109.
3. Buckland S.T. 2004. Advanced distance sampling. - Oxford Univ. Press.
4. Bunnefeld N. et al. 2009. Factors affecting unintentional harvesting selectivity in a monomorphic species. J. Anim. Ecol. 78: 485-492.
5. Cattadori I. M. et al. 2003. Are indirect measures of abundance a useful index of population density? The case of red grouse harvesting. Oikos 100: 439-446.
6. Eberhardt L. L. 1982. Calibrating an index by using removal data. J. Wildlife Manage. 46: 734-740.
7. Flanders-Wanner B. L. et al. 2004. Validity of prairie grouse harvest-age ratios as production indices. J. Wildlife Manage. 68: 1088-1094.
8. Harley S. J. et al. 2001. Is catch-per-unit-effort proportional to abundance? Can. J. Fish. Aquat. Sci. 58: 1760-1772.
9. Haydon D. T. et al. 2002. Analysing noisy time-series: describing regional variation in the cyclic dynamics of red grouse. Proc. R. Soc. B 269: 1609-1617.
10. Heberlein T. A. and Kuentzel W. F. 2002. Too many hunters or not enough deer? Human and biological determinants of hunter satisfaction and quality. Hum. Dim. Wildlife 7: 229-250.
11. Helminen M. 1963. Composition of the Finnish population of capercaillie and black grouse in the autumn of 1952-61, as revealed by a study of wings. Finn. Game Res. 23: 1-124.
12. Hilborn R. and Walters C.J. 1992. Quantitative fisheries stock assessment. - Springer.
13. Hörnell-Willebrand M. 2005. Temporal and spatial dynamics of willow grouse Lagopus lagopus. - PhD thesis, Swedish Agricultural Univ., Umeå.
14. Hörnell-Willebrand M. et al. 2006. Temporal and spatial correlation in chick production of willow grouse (Lagopus lagopus) in Sweden. Wildlife Biol. 12: 347-355.
15. Lambin X. et al. 1999. Population cycles and parasitism. Science 286: 2425a.
16. Lindström E. et al. 1994. Disease reveals the predator: sarcoptic mange, red fox predation, and prey populations. Ecology 75: 1042-1049.
17. Lindén H. 1991. Patterns of grouse shooting in Finland. Ornis Scand. 22: 241-244.
18. Lindberget M. 2009. Using bag statistics as a management tool: does previous harvest affect CPUE? (in Swedish). Report 2009:1. - Swedish Agricultural Univ., Umeå.
19. Milner-Gulland E. J. 2010. New directions in management strategy evaluation through cross-fertilization between fi{ligature}sheries science and terrestrial conservation. Biol. Lett. 6: 719-722.
20. Nielsen O. K. and Pétruson G. 1995. Population fluctuations of gyrfalcon and rock ptarmigan: analysis of export figures from Iceland. Wildlife Biol. 1: 65-71.
21. Potts J. M. and Elith J. 2006. Comparing species abundance models. Ecol. Model. 199: 153-163.
22. Ranta E. et al. 2008. How reliable are harvesting data for analyses of spatio-temporal population dynamics? Oikos 117: 1461-1468.
23. Regan H. et al. 2002. A taxonomy and treatment of uncertainty for ecology and conservation biology. Ecol. Appl. 12: 618-628.
24. Rist J. et al. 2008. Evaluating measures of hunting effort in a bushmeat system. Biol. Conserv. 141: 2086-2099.
25. Sandercock B. 2010. Is hunting mortality additive or compensatory to natural mortality? Effects of experimental harvest on the survival and cause-specific mortality of willow ptarmigan. J. Anim. Ecol. 80: 244-258.
26. Schielzeth H. 2010. Simple means to improve the interpretability of regression coefficients. Meth. Ecol. Evol. 1: 103-113.
27. Schmidt J. et al. 2005. Catch per unit effort for moose: a new approach using weibull regression. J. Wildlife Manage. 69: 1112-1124.
28. Skalski J. R. et al. 2005. Wildlife demography. - Academic Press.
29. Small R. et al. 1993. Synchronous and nonsynchronous population fluctuations of some predators and their prey in central Sweden. Ecography. 16: 360-364.
30. Smith A. and Willebrand T. 1999. Mortality causes and survival rates of hunted and unhunted willow grouse. J. Wildlife Manage. 63: 722-730.
31. Taylor L. R. and Woiwod I. P. 1980. Temporal stability as density-dependent species characteristic. J. Anim. Ecol. 49: 209-224.
32. Van Deelen T. and Etter D. 2003. Effort and the functional response of deer hunters. Hum. Dim. Wildlife 8: 97-108.
33. Zuur A. F. et al. 2009. Mixed effects models and extensions in ecology with R. - Springer.
34. Zuur A. F. et al. 2010. A protocol for data exploration to avoid common statistical problems. Meth. Ecol. Evol. 1: 3-14.