Non-detection errors in a survey of persistent, highly-detectable vegetation species

Environmental Monitoring and Assessment

Volumn 184, Issue 2, 2012, Pages 625-635

  Clarke, Kenneth D ^a   Lewis, Megan ^a   Brandle, Robert ^b   Ostendorf, Bertram ^a  

^a UNIVERSITY OF ADELAIDE   (Australia)

^b Science Resource Centre   (Australia)

Author keywords

Non detection; Vegetation survey

Indexed keywords

DETECTABILITY; DETECTION PROBABILITIES; ERROR RATE; FALSE NEGATIVE ERRORS; NON-DETECTION; SINGLE SITES; SOUTH AUSTRALIA; SURVEY METHODOLOGY; SURVEY METHODS; VEGETATION SPECIES;

ANIMALS; ERROR ANALYSIS; SURVEYS; SYSTEMATIC ERRORS;

VEGETATION;

DETECTION METHOD; ENVIRONMENTAL MONITORING; ERROR ANALYSIS; SURVEYING; VEGETATION;

ARTICLE; AUSTRALIA; ERROR; FAUNA; METHODOLOGY; NON DETECTION ERROR; PERENNIAL PLANT; PREDICTION; PROBABILITY; RANGELAND; VEGETATION; VEGETATION SURVEY;

AUSTRALIA; BIODIVERSITY; CONSERVATION OF NATURAL RESOURCES; DATA COLLECTION; ENVIRONMENTAL MONITORING; PLANTS;

AUSTRALIA; SOUTH AUSTRALIA;

EID: 84857361847     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-011-1991-0     Document Type: Article

References (26)

1. HM Alexander NA Slade, et al. 1997 Application of mark-recapture models to estimation of the population size of plants Ecology 78 4 1230 1237
2. Black, J. M. (1986). Flora of South Australia. Adelaide: Government Printer.
3. SA Boudreau ND Yan 2004 Auditing the accuracy of a volunteer-based surveillance program for an aquatic invader bythotrephes Environmental Monitoring and Assessment 91 17 26 10.1023/B:EMAS.0000009228.09204.b7
4. Brandle, R. (1998). A biological survey of the Stony Deserts South Australia, 1994-1997. Heritage and Biodiversity Section, Department for Environment, Heritage and Aboriginal Affairs, South Australia.
5. R Brandle KE Moseby 1999 Comparative ecology of two populations of Pseudomys australis in northern South Australia Wildlife Research 26 541 564 10.1071/WR97049
6. J Bunge M Fitzpatrick 1993 Estimating the number of species: A review Journal of the American Statistical Association 88 364 373 10.2307/2290733
7. 2 sequestration: A case study of Nagpur City, India Environmental Monitoring and Assessment 135 281 290 10.1007/s10661-007-9649-7 1:CAS:528:DC%2BD2sXht12js7jJ
8. RK Colwell JA Coddington 1994 Estimating terrestrial biodiversity through extrapolation Philosophical Transactions of the Royal Society of London 345 101 118 10.1098/rstb.1994.0091 1:STN:280:DyaK2M%2Fmt1GltA%3D%3D
9. Cunningham, G. M.; Mulham, W. E.; Milthorpe, P. L.; & Leigh, J. H. (1981). Plants of Western New South Wales: NSW Government Printing Office.
10. RM Dorazio JA Royle 2005 Estimating size and composition of biological communities by modeling the occurence of species Journal of the American Statistical Association 100 470 389 398 10.1198/016214505000000015 1:CAS:528:DC%2BD2sXlsVaisbs%3D
11. SA Field AJ Tyre, et al. 2005 Optimizing allocation of monitoring effort under economic and observational constraints Journal of Wildlife Management 69 2 473 482 10.2193/0022-541X(2005)069[0473:OAOMEU]2.0.CO;2
12. W Gu RK Swihart 2004 Absent or undetected? Effects of non-detection of species occurrence on wildlife-habitat models Biological Conservation 116 2 195 203 10.1016/S0006-3207(03)00190-3
13. C Guoke M Kéry, et al. 2009 Factors affecting detection probability in plant distribution studies Journal of Ecology 97 6 1383 1389 10.1111/j.1365-2745.2009.01560.x
14. M Kéry BR Schmidt 2008 Imperfect detection and its consequences for monitoring for conservation Community Ecology 9 2 207 216 10.1556/ComEc.9.2008.2.10
15. M Kéry JH Spillmann, et al. 2006 How biased are estimates of extinction probability in revisitation studies? Journal of Ecology 94 980 986 10.1111/j.1365-2745.2006.01151.x
16. Kutsche, F.; & Lay, B. (2003). Field guide to the plants of Outback South Australia. Openbook.
17. Laut, P.; Keig, G.; et al. (1977). Environments of South Australia: Province 8, Northern Arid (pp. 116-168). Canberra, Division of Land Use Research, CSIRO.
18. DI MacKenzie 2005 Improving inferences in popoulation studies of rare species that are detected imperfectly Ecology 86 5 1101 1113 10.1890/04-1060
19. DI MacKenzie JD Nichols, et al. 2002 Estimating site occupancy rates when detection probabilities are less than one Ecology 83 8 2248 2255 10.1890/0012-9658(2002)083[2248:ESORWD]2.0.CO;2
20. CX Mao RK Colwell 2005 Estimation of species richness: Mixture models, the role of rare species, and inferential challenges Ecology 86 5 1143 1153 10.1890/04-1078
21. P Milberg J Bergstedt, et al. 2008 Observer bias and random variation in vegetation monitoring data Journal of Vegetation Science 19 5 633 644 10.3170/2008-8-18423
22. N Myers RA Mittermeier, et al. 2000 Biodiversity hotspots for conservation priorities Nature 403 6772 853(856) 10.1038/35002501
23. TJ Regan MA McCarthy, et al. 2006 Optimatl eradication: When to stop looking for an invasive plant Ecology Letters 9 759 766 10.1111/j.1461-0248. 2006.00920.x
24. NA Slade HM Alexander, et al. 2003 Estimation of population size and probabilities of survival and detection in Mead's Milkweed Ecology 84 3 791 797 10.1890/0012-9658(2003)084[0791:EOPSAP]2.0.CO;2
25. Tynan, R. (1993). Lease assessment overview report: Kingoonya soil conservation district, Pastoral Management Branch. South Australian Department of Environment and Natural Resources.
26. AJ Tyre B Tenhumberg, et al. 2003 Improving precision and reducing bias in biological surveys: Estimating false-negative error rates Ecological Applications 13 6 1790 1801 10.1890/02-5078