Development and application of a spatially explicit moose population model

Canadian Journal of Zoology

Volumn 76, Issue 10, 1998, Pages 1922-1931

  McKenney, Daniel W ^a   Rempel, Robert S ^b   Venier, Lisa A ^a   Wang, Yonghe ^a   Bisset, Alan R ^c  

^a GREAT LAKES FORESTRY CENTRE   (Canada)

^b LAKEHEAD UNIVERSITY   (Canada)

^c ONTARIO MINISTRY OF NATURAL RESOURCES   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

MAMMAL; POPULATION DENSITY; POPULATION DYNAMICS;

CANADA; ONTARIO;

ALCES ALCES;

EID: 0032451346     PISSN: 00084301     EISSN: None     Source Type: Journal    
DOI: 10.1139/z98-134     Document Type: Article

References (35)

1. Bisset, A.R. 1991. Standards and guidelines for moose aerial inventory in Ontario. Ontario Ministry of Natural Resources. Toronto, Ont.
2. Bisset, A.R., and McLaren, M.A. 1995. Moose population inventory plan for Ontario, 1996-1998. IR-02. Ontario Ministry of Natural Resources, Thunder Bay.
3. Bisset, A.R., and Rempel, R.S. 1991. Linear analysis of factors affecting the accuracy of moose aerial inventories. Alces, 27: 127-139.
4. Bisset, A.R., McLaren, M., Edmonds, C., Sawyer, W., Gluhushkin, W., Morrison, K., and Davies, C. 1997. Report on the 1995-96 and 1996-97 moose population surveys: with considerations for future surveys. TR-113. Ontario Ministry of Natural Resources, Thunder Bay.
5. Boyer, D.G., Wright, R.J., Feldhake, C.M., and Bligh, D.P. 1996. Soil spatial variability relationships in a steeply sloping acid soil environment. Soil Sci. 161: 278-287.
6. Congalton, R.G. 1991. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sens. Environ. 37: 35-46.
7. Congalton, R.G., and Mead, R.A. 1983. A quantitative method to test for consistency and correctness in photointerpretation. Photogramm. Eng. Remote Sens. 49: 69-74.
8. Congalton, R.G., Oderwald, R.G., and Mead, R.A. 1983. Assessing Landsat classification accuracy using discrete multivariate analysis statistical techniques. Photogramm. Eng. Remote Sens. 49: 1671-1678.
9. Crête, M. 1989. Approximation of K carrying capacity for moose in eastern Quebec. Can. J. Zool. 67: 373-380.
10. Davis, J.S., McKenney, D.W., and Turnbull, J.W. 1994. The international impact of forestry research and a comparison with agricultural and fisheries research. Can. J. For. Res. 24: 321-336.
11. Deutsch, C.V., and Journel, A.G. 1992. GSLIB: geostatistical software library and user's guide. Oxford University Press, New York.
12. Donald, W.W. 1994. Geostatistics for mapping weeds, with a Canada thistle (Cirsium-arvense) patch as a case study. Weed Sci. 42: 648-657.
13. Gribko, L.S., Liebhold, A.M., and Hohn, M.E. 1995. Model to predict gypsy moth (Lepidoptera, Lymantriidae) defoliation using kriging and logistic regression. Environ. Entomol. 24: 529-537.
14. Halvorson, J.J., Smith, J.L., Bolton, H., and Rossi, R.E. 1995. Evaluating shrub-associated spatial patterns of soil properties in a shrub-steppe ecosystem using multiple-variable geostatistics. Soil Sci. Soc. Am. J. 59: 1476-1487.
15. Hammond, T., and Yarie, J. 1996. Spatial prediction of climatic state factor regions in Alaska. Ecoscience, 3: 490-501.
16. Heisel, T., Andreasen, C., and Ersboll, A.K. 1996. Annual weed distributions can be mapped with kriging. Weed Res. 36: 325-337.
17. Holdaway, M.R. 1996. Spatial modeling and interpolation of monthly temperature using kriging. Clim. Res. 6: 215-225.
18. Isaaks, E.H., and Srivastava, R.M. 1989. An introduction to applied geostatistics. Oxford University Press, New York.
19. Krebs, C.J. 1984. Ecology: the experimental analysis of distribution and abundance. Harper and Row, New York.
20. Maravelias, C.D., and Haralabous, J. 1995. Spatial distribution of herring in the Orkney Shetland area (northern North Sea) - a geostatistical analysis. Neth. J. Sea Res. 34: 319-329.
21. MathSoft Inc. 1996. S+Spatialstats user's manual, version 1.0. MathSoft Inc., Seattle, Wash.
22. Maynou, F., Conan, G.Y., Cartes, J.E., Company, J.B., and Sarda, F. 1996. Spatial structure and seasonality of decapod crustacean populations on the northwestern Mediterranean slope. Limnol. Oceanogr. 41: 113-125.
23. Naesset, E. 1996. Use of the weighted kappa coefficient in classification error assessment of thematic maps. Int. J. Geogr. Inf. Syst. 10: 591-604.
24. Odeh, I.O.A, Mcbratney, A.B., and Chittleborough, D.J. 1994. Spatial prediction of soil properties from landform attributes derived from a digitial elevation model. Geoderma, 63(3-4): 197-214.
25. Olea, R. 1991. Geostatistical glossary and multilingual dictionary. Oxford University Press, New York.
26. Ontario Ministry of Natural Resources. 1988. Timber management guidelines for the provision of moose habitat. Ontario Ministry of Natural Resources, Toronto.
27. Rempel, R.S., Elkie, P.C., Rodgers, A.R., and Gluck, M.J. 1997. Timber-management and natural-disturbance effects on moose habitat: landscape evaluation. J. Wildl. Manage. 61: 517-524.
28. SAS Institute Inc. 1989. SAS/STAT user's guide, version 6, edition 4. SAS Institute Inc., Cary, N.C.
29. SAS Institute Inc. 1996. SAS/STAT software. Changes and enhancements through release 6.11. SAS Institute Inc., Cary, N.C.
30. Timmermann, H.R., and Rempel, R.S. 1998. Age and sex structure of hunter harvested moose under two harvest strategies in north central Ontario. Alces, 34: 21-30.
31. Timmermann, H.R., and Whitlaw, H.A. 1992. Selective moose harvest in north central Ontario - a progress report. Alces, 28: 137-163.
32. Villard, M., and Maurer, B.A. 1996. Geostatistics as a tool for examining hypothesized declines in migratory songbirds. Ecology, 77: 59-68.
33. Weseloh, R.M. 1996. Developing and validating a model for predicting gypsy moth (Lepidoptera, Lymantriidae) defoliation in Connecticut. J. Econ. Entomol. 89: 1546-1555.
34. Whitlaw, H.A., Timmerman, H.R., Pernsky, P., and Bisset, A.R. 1993. Northwest region moose population and harvest profile. TR-75, NWST, Ontario Ministry of Natural Resources, Thunder Bay.
35. Zar, J.H. 1984. Biostatistical analysis. 2nd ed. Prentice-Hall, Englewood Cliffs, N.J.