Statistical aspects of sampling populations of forest elephants

Natural Resource Modeling

Volumn 13, Issue 1, 2000, Pages 135-150

  Burn, R W ^a   Underwood, F M ^a  

^a UNIVERSITY OF READING   (United Kingdom)

Author keywords

Adaptive sampling; Distance sampling; Forest elephants; Model based inference; Monitoring; Recce sampling

Indexed keywords

EID: 80052804155     PISSN: 08908575     EISSN: 19397445     Source Type: Journal    
DOI: 10.1111/j.1939-7445.2000.tb00030.x     Document Type: Article

References (22)

1. R.F.W. Barnes [1993], Indirect Methods for Counting Elephants in Forest, Pachy-derm 16, 24–30.
2. R.F.W. Barnes, B. Asamoah-Boateng, J. Naada Majam, J. Agyei-Ohemeng [1997], Rainfall and the Population Dynamics of Elephant Dung-Piles in the Forests of Southern Ghana, Afr. J. Ecol. 35, 39–52.
3. R.F.W. Barnes and K.L. Jensen [1987], How to Count Elephants in Forests, IUCN African Elephant and Rhino Specialist Group Technical Bulletin 1, 1–6.
4. S.T. Buckland, D.R. Anderson, K.P. Burnham, J.L. Laake [1993], Distance Sampling: Estimating the Abundance of Biological Populations, Chapman & Hall, London, New York.
5. K.P. Burnham, D.R. Anderson, J.L. Laake [1980], Estimation of Density from Line Transect Sampling of Biological Populations, Wildlife Monographs No. 72.
6. W.G. Cochran [1977], Sampling Techniques, 3rd Ed., Wiley, New York.
7. R.I.C.C. Francis [1984], An Adaptive Strategy for Stratified Random Trawl Surveys, New Zealand J. of Marine and Freshwater Research 18, 59–71.
8. A.N. Gillison and K.R.W. Brewer [1985], The Use of Gradient Directed Transects or Gradsects in Natural Resource Surveys, J. Environ. Management 20, 103–127.
9. M.M. Hansen and W.N. Hurwitz [1943], On the Theory of Sampling from Finite Populations, Ann. Math. Stat. 14, 333–362.
10. M.H. Hansen, W.G. Madow, B.J. Tepping [1983], An Evaluation of Model-Dependent and Probability-Sampling Inferences in Sample Surveys, J. Amer. Statist. Assoc. 78, 776–793.
11. D.G. Horwitz and D.J. Thompson [1952], A Generalization of Sampling without Replacement from a Finite Universe, J. Amer. Statist. Assoc. 47, 663–685.
12. G.M. Jolly and I. Hampton [1990], A Stratified Random Transect Design for Acoustic Surveys of Fish Stocks, Canadian J. of Fisheries and Aquatic Science 47, 1282–1291.
13. G. Merz [1986], Counting Elephants (Loxodonta africana cyclotis) in Tropical Rain Forests with Particular Reference to the Tai National Park, Ivory Coast, Afr. J. Ecol. 24, 61–68.
14. F.A. Roesch Jr. [1993], Adaptive Cluster Sampling for Forest Inventories, Forest Science 39, 655–669.
15. G.A.F. Seber and S.K. Thompson [1994], Environmental Adaptive Sampling, in Handbook of Statistics (G.P. Patil and C.R. Rao, eds.), 12, Elsevier Science B.V.
16. T.M.F. Smith [1976], The Foundations of Survey Sampling: A Review, J. Royal Stat. Soc., Ser. A 139, 183–204.
17. H. Solomon and S. Zacks [1970], Optimal Design of Sampling from Finite Populations: A Critical Review and Indication of New Research Areas, J. Amer. Statist. Assoc. 65, 653–677.
18. W.J. Sutherland [1996], Ecological Census Techniques: A Handbook, Cambridge University Press.
19. S.K. Thompson [1992], Sampling, Wiley, New York.
20. S.K. Thompson and F.L. Ramsey [1983], Adaptive Sampling of Animal Populations, Technical Report 82, Dept. of Statistics, Oregon State University, Corvallis, OR.
21. S.K. Thompson and G.A.F. Seber [1996], Adaptive Sampling, Wiley, New York.
22. P.D. Walsh and L.J.T. White [in press], What It Will Take to Monitor Forest Elephant Populations, Conservation Biology.