Estimating abundance from detection-nondetection data for randomly distributed or aggregated elusive populations

Ecography

Volumn 30, Issue 4, 2007, Pages 537-549

  Zhou, Shijie ^a   Griffiths, Shane P ^a  

^a CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ABUNDANCE ESTIMATION; COMPUTER SIMULATION; CONSERVATION MANAGEMENT; DETECTION METHOD; POPULATION DISTRIBUTION; POPULATION DYNAMICS; PROBABILITY; RARE SPECIES; SPATIOTEMPORAL ANALYSIS;

EID: 34547883503     PISSN: 09067590     EISSN: 16000587     Source Type: Journal    
DOI: 10.1111/j.2007.0906-7590.05009.x     Document Type: Article

References (38)

1. Asparouhov, T. 2006. General multi-level modeling with sampling weights Comm. Stat. Theory Methods 35:439 460.
2. Azuma, D. L. et al. 1990. Estimating the occupancy of spotted owl habitat areas by sampling and adjusting for bias. Gen. Tech. Rep. PSW-124. Pacific Southwest Research Station, Forest Service, U.S. Dept of Agriculture, Berkeley, CA.
3. Bailey, L. L. et al. 2004. Estimating occupancy and species detection probability parameters for terrestrial salamanders Ecol. Appl. 14:692 702.
4. Bayley, P. B. Peterson, J. T. 2001. An approach to estimate probability of presence and richness of fish species Trans. Am. Fish. Soc. 130:620 633.
5. Breslow, N. E. Holubkov, R. 1997. Weighted likelihood, pseudo-likelihood and maximum likelihood methods for logistic regression analysis of two-stage data Stat. Med. 16:103 116.
6. Brotons, L. et al. 2004. Presence-absence versus presence-only modeling methods for predicting bird habitat suitability Ecography 27:437 448.
7. Carroll, C. et al. 1999. Using presence-absence data to build and test spatial habitat models for the fisher in the Klamath region, U.S.A Conserv. Biol. 13:1344 1359.
8. Cochran, W. G. 1977. Sampling techniques, 3rd ed. Wiley.
9. Condit, R. et al. 2000. Spatial patterns in the distribution of tropical tree species Science 288:1414 1418.
10. Falster, D. S. et al. 2001. Linking abundance, occupancy and spatial structure; an empirical test of a neutral model in and open-forest woody plant community in eastern Australia J. Biogeogr. 28:317 323.
11. Gaston, K. J. et al. 1998. Aggregation and interspecific abundance-occupancy relationships J. Anim. Ecol. 67:995 999.
12. Gaston, K. J. et al. 2000. Abundance-occupancy relationships Appl. Ecol. 37:39 59.
13. Gelfand, A. E. et al. 2006. Explaining species distribution patterns through hierarchical modeling Bayesian Analys. 1:41 92.
14. Hanski, I. Gyllenberg, M. 1997. Uniting two general patterns in the distribution of species Science 275:397 400.
15. Harte, J. et al. 2001. Self-similarity and the relationship between abundance and range size Am. Nat. 157:374 386.
16. He, F. Gaston, K. J. 2000a. Estimating species abundance from occurrence Am. Nat. 156:553 559.
17. He, F. Gaston, K. J. 2000b. Occupancy-abundance relationships and sampling scales Ecography 23:503 511.
18. He, F. Gaston, K. J. 2003. Occupancy, spatial variance, and the abundance of species Am. Nat. 162:366 375.
19. He, F. et al. 2002. On species occupancy-abundance models Ecoscience 9:119 126.
20. Holt, A. R. et al. 2002. The importance of biotic interactions in abundance-occupancy relationships J. Anim. Ecol. 71:846 854.
21. Kery, M. et al. 2005. Modeling avian abundance from replicated counts using binomial mixture models Ecol. Appl. 15:1450 1461.
22. Kunin, W. E. 1998. Extrapolating species abundance across spatial scales Science 281:1513 1515.
23. Kunin, W. E. et al. 2000. Scaling down: on the challenge of estimating abundance from occurrence patterns Am. Nat. 156:560 566.
24. MacKenzie, D. I. Royle, J. A. 2005. Designing occupancy studies: general advice and allocating survey effort J. Appl. Ecol. 42:1105 1114.
25. MacKenzie, D. I. et al. 2002. Estimating site occupancy rates when detection probabilities are less than one Ecology 83:2248 2255.
26. MacKenzie, D. I. et al. 2003. Estimating site occupancy, colonization, and local extinction when a species is detected imperfectly Ecology 84:2200 2207.
27. Mangel, M. Smith, P. E. 1990. Presence-absence sampling for fisheries management Can. J. Fish. Aquat. Sci. 47:1875 1887.
28. Nielsen, S. E. et al. 2005. Can models of presence-absence be used to scale abundance? Tow case studies considering extremes in life history Ecography 28:197 208.
29. Royle, J. A. 2004. Modeling abundance index data from anuran calling surveys Conserv. Biol. 18:1378 1385.
30. Royle, J. A. Nicholes, J. D. 2003. Estimating abundance from repeated presence-absence data or point counts Ecology 84:777 790.
31. Royle, J. A. Link, W. A. 2005. A general class of multinomial mixture models for anuran calling survey data Ecology 86:2505 2512.
32. Royle, J. A. et al. 2005. Modeling occurrence and abundance of species when detection is imperfect Oikos 110:353 359.
33. Strayer, D. L. 1999. Statistical power of presence-absence data to detect population declines Conserv. Biol. 13:1034 1038.
34. Thompson, S. K. 1992. Sampling. Wiley.
35. Tyre, A. J. et al. 2003. Improving precision and reducing bias in biological surveys: estimating false-negative error rates Ecol. Appl. 13:1790 1801.
36. Wang, J. 2001. A pseudo-likelihood method for estimating effective population size from temporally spaced samples Gen. Res. 78:243 257.
37. Wintle, B. A. et al. 2004. Precision and bias of methods for estimating point survey detection probabilities Ecol. Appl. 14:703 712.
38. Yamada, S. Zenitani, H. 2005. Efficiency of presence-absence sampling used to estimate the mean abundance of fish eggs Fish. Sci. 71:805 816.