Observer bias and the detection of low-density populations

Ecological Applications

Volumn 19, Issue 7, 2009, Pages 1673-1679

  Fitzpatrick, Matthew C ^a,b   Preisser, Evan L ^a   Ellison, Aaron M ^b   Elkinton, Joseph S ^c  

^a UNIVERSITY OF RHODE ISLAND   (United States)

^b HARVARD UNIVERSITY   (United States)

^c UNIVERSITY OF MASSACHUSETTS   (United States)

Author keywords

Adelges tsugae; Citizen science; Hemlock woolly adelgid; Invasive species; Monitoring; Occurrence probability; Site occupancy models; Survey; Volunteer

Indexed keywords

COMPARATIVE STUDY; ECOLOGICAL MODELING; INSECT; INVASIVE SPECIES; POPULATION DENSITY; POPULATION DISTRIBUTION; PROBABILITY; SITE SELECTION; SPECIES OCCURRENCE; SURVEYING;

ANIMAL; ARTICLE; BIOLOGICAL MODEL; ECOSYSTEM; ENVIRONMENTAL MONITORING; ENVIRONMENTAL PROTECTION; HEMIPTERA; HOST PARASITE INTERACTION; OBSERVER VARIATION; PARASITOLOGY; PHYSIOLOGY; POPULATION DENSITY; TSUGA;

ANIMALS; CONSERVATION OF NATURAL RESOURCES; ECOSYSTEM; ENVIRONMENTAL MONITORING; HEMIPTERA; HOST-PARASITE INTERACTIONS; MODELS, BIOLOGICAL; OBSERVER VARIATION; POPULATION DENSITY; TSUGA;

ADELGES TSUGAE; ADELGIDAE; CONIUM;

EID: 70349335465     PISSN: 10510761     EISSN: None     Source Type: Journal    
DOI: 10.1890/09-0265.1     Document Type: Article

References (25)

1. Bailey, L. L., T. R. Simons, and K. H. Pollock. 2004. Estimating site occupancy and species detection probability parameters for terrestrial salamanders. Ecological Applications 14: 692-702. (Pubitemid 39471069)
2. Boudreau, S. A., and N. D. Yan. 2004. Auditing the accuracy of a volunteer-based surveillance program for an aquatic invader bythotrephes. Environmental Monitoring and Assessment 91(l): 17-26.
3. Burnham, K. P., and D. R. Anderson. 2002. Model selection and multimodel inference: a practical information-theoretic approach. Springer, New York, New York, USA.
4. Cohn, J. P. 2008. Citizen science: Can volunteers do real research? BioScience 58(3): 192-197.
5. Costa, S., and B. Onken. 2007. Standardizing sampling for detection and monitoring of hemlock woolly adelgid in eastern hemlock forests. Forest Health Technology Enterprise Team, U.S. Department of Agriculture, Forest Service, Morgantown, West Virginia, USA.
6. Delaney, D. G., C. D. Sperling, C. S. Adams, and B. Leung. 2008. Marine invasive species: validation of citizen science and implications for national monitoring networks. Biological Invasions 10(1): 117-128.
7. Donovan, T., and J. Hines. 2007. Exercises in occupancy modeling and estimation. Vermont Cooperative Fish and Wildlife Research Unit, The University of Vermont, Rubenstein School of Environment and Natural Resources, Burlington, Vermont, USA. (http://www.uvm.edu/envnr/ vtcfwru/spreadsheets/occupancy/ occupancy.htm)
8. Ellison, A. M., et al. 2005. Loss of foundation species: consequences for the structure and dynamics of forested ecosystems. Frontiers in Ecology and the Environment 3: 479-486. (Pubitemid 41598807)
9. Evans, A. M., and T. G. Gregoire. 2007. The tree crown distribution of hemlock woolly adelgid, Adelges tsugae (Hem., Adelgidae) from randomized branch sampling. Journal of Applied Entomology 131: 26-33.
10. Genet, K. S., and L. G. Sargent. 2003. Evaluation of methods and data quality from a volunteer-based amphibian call survey. Wildlife Society Bulletin 31(3): 703-714.
11. Liebhold, A., and P. Tobin. 2008. Population ecology of insect invasions and their management. Annual Review of Entomology 53: 387-408. (Pubitemid 351341947)
12. Lodge, D. M., S. Williams, H. J. MacIsaac, K. R. Hayes, B. Leung, S. Reichard, R. N. Mack, P. B. Moyle, M. Smith, and D. A. Andow. 2006. Biological invasions: recommendations for us policy and management. Ecological Applications 16: 2035-2054. (Pubitemid 44917569)
13. Lotz, A., and C. R. Allen. 2007. Observer bias in anuran call surveys. Journal of Wildlife Management 71(2): 675-679.
14. MacKenzie, D. I., J. D. Nichols, G. B. Lachman, S. Droege, J. A. Royle, and C. A. Langtimm. 2002. Estimating site occupancy rates when detection probabilities are less than one. Ecology 83: 2248-2255.
15. MacKenzie, D. I., J. D. Nichols, and K. H. Pollock. 2006. Occupancy estimation and modeling: inferring patterns and dynamics of species occurrence. Academic Press, San Diego, California, USA.
16. McClure, M. 1990. Role of wind, birds, deer, and humans in the dispersal of hemlock woolly adelgid (Homoptera: Adelgidae). Environmental Entomology 19(l): 36-43.
17. McClure, M. S., and C. Cheah. 1999. Reshaping the ecology of invading populations of hemlock woolly adelgid, Adelges tsugae (Homoptera: Adelgidae), in eastern North America. Biological Invasions l(2): 247-254.
18. McLaren, M. A., and M. D. Cadman. 1999. Can novice volunteers provide credible data for bird surveys requiring song identification? Journal of Field Ornithology 70(4): 481-490.
19. Milberg, P., J. Bergstedt, J. Fridman, G. Odell, and L. Westerberg. 2008. Observer bias and random variation in vegetation monitoring data. Journal of Vegetation Science 19(5): 633-644.
20. Pierce, B. A., and K. J. Gutzwiller. 2007. Interobserver variation in frog call surveys. Journal of Herpetology 41(3): 424-429.
21. R Development Core Team. 2006. R: a language and environment for statistical computing, reference index version 2.4.1. R Foundation for Statistical Computing, Vienna, Austria.
22. Royle, J. A., and W. A. Link. 2006. Generalized site occupancy models allowing for false positive and false negative errors. Ecology 87: 835-841.
23. Sauer, J. R., B. G. Peterjohn, and W. A. Link. 1994. Observer differences in the North America Breeding Bird Survey. Auk 111(l): 50-62.
24. Sharov, A. A., D. Leonard, A. M. Liebhold, E. A. Roberts, and W. Dickerson. 2002. "Slow the Spread": a national program to contain the gypsy moth. Journal of Forestry 100(5): 30-35.
25. Shirose, L. J., C. A. Bishop, D. M. Green, C. J. MacDonald, R. J. Brooks, and N. J. Helferty. 1997. Validation tests of an amphibian call count survey technique in Ontario, Canada. Herpetologica 53: 312-320.