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ESTIMATING ABUNDANCE FROM REPEATED PRESENCE–ABSENCE DATA OR POINT COUNTS
Abstract
We describe an approach for estimating occupancy rate or the proportion of area occupied when heterogeneity in detection probability exists as a result of variation in abundance of the organism under study. The key feature of such problems, which we exploit, is that variation in abundance induces variation in detection probability. Thus, heterogeneity in abundance can be modeled as heterogeneity in detection probability. Moreover, this linkage between heterogeneity in abundance and heterogeneity in detection probability allows one to exploit a heterogeneous detection probability model to estimate the underlying distribution of abundances. Therefore, our method allows estimation of abundance from repeated observations of the presence or absence of animals without having to uniquely mark individuals in the population. Corresponding Editor: A. M. Ellison
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“If cells are smaller than average home range then the measure is a measure of intensity of habitat use (Royle & Nichols, 2003).”
From Field surveys for the Endangered pygmy hippopotamus Choeropsis liberiensis in Sapo National Park, Liberia (2011) · cites this paper as Royle & Nichols, 2003
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Research works printed but not linked: 28
- D. R. Anderson, 2001 .The need to get the basics right in wildlife field studies .Wildlife Society Bulletin, 29 :1294 -1297 .
- 10.1577/1548-8659(2001)130<0620:AATEPO>2.0.CO;2 · DOI
- 10.1146/annurev.es.23.110192.002405 · DOI
- 10.1093/biomet/65.3.625 · DOI
- 10.2307/2530104 · DOI
- 10.1642/0004-8038(2002)119[0414:ARMFED]2.0.CO;2 · DOI
- P. H. Geissler, and M. R. Fuller .1987 .Estimation of the proportion of area occupied by an animal species .Proceedings of the Section on Survey Research Methods of the American Statistical Association, 1986 :533 -538 .
- 10.1016/0040-5809(92)90004-D · DOI
- 10.1111/j.0006-341X.2000.01030.x · DOI
- 10.1086/285349 · DOI
- 10.2307/5591 · DOI
- 10.1086/284734 · DOI
- 10.1007/BF00776426 · DOI
- 10.2307/3314912 · DOI
- 10.1016/0040-5809(71)90008-6 · DOI
- 10.1006/tpbi.1996.0015 · DOI
- 10.1016/S0025-5564(00)00016-X · DOI
- R. Levins, 1969 .Some demographic and genetic consequences of environmental heterogeneity for biological control .Bulletin of the Entomological Society of America, 15 :237 -240 . · DOI
- 10.2307/1939433 · DOI
- 10.1890/0012-9658(2002)083[2248:ESORWD]2.0.CO;2 · DOI · Paper page
- 10.1642/0004-8038(2000)117[0393:ADOAFE]2.0.CO;2 · DOI
- 10.2307/2532902 · DOI
- 10.1111/j.0006-341X.2000.00434.x · DOI
- 10.2307/2060178 · DOI
- 10.1642/0004-8038(2002)119[0046:LCTCPA]2.0.CO;2 · DOI
- J. R. Skalski, 1994 .Estimating wildlife populations based on incomplete area surveys .Wildlife Society Bulletin, 22 :192 -203 .
- 10.2307/1565206 · DOI
- 10.1016/S0169-5347(01)02205-4 · DOI
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Demography of a forest elephant population
Turkalo, A. K., Wrege, P. H., & Wittemyer, G. (2018) · PLOS ONE · doi:10.1371/journal.pone.0192777 · Cited by 42
Collen, B., Howard, R., Konie, J., Daniel, O., & Rist, J. (2011) · Oryx · doi:10.1017/s0030605310001444 · Cited by 24
Metadata
- Authors
- Royle, J. A., & Nichols, J. D.
- Affiliations
- United States Fish and Wildlife Service (US)
- United States Geological Survey (US)
- Corresponding author
- Royle, J. Andrew
- Venue
- Ecology
- Publisher
- Wiley
- Published
- 2003-03
- Volume
- 84
- Issue
- 3
- Pages
- 777-790
- ISSN
- 0012-9658 (ISSN-L)
- OpenAlex
- W2077732840
- Cited by
- 1,364
- References
- 0
- Citations by year
- 2026: 55 · 2025: 90 · 2024: 83 · 2023: 67 · 2022: 81 · 2021: 65 · 2020: 75 · 2019: 79 · 2018: 83 · 2017: 78 · 2016: 55 · 2015: 81 · 2014: 67 · 2013: 94 · 2012: 53
- FWCI
- 17.85
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Ecology (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Census and Population Estimation
- Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
- Physical Sciences › Environmental Science › Ecological Modeling › Species Distribution and Climate Change
- Keywords
- abundance estimation, occupancy rate, presence-absence data, point counts, abundance distribution
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- CoChat. (2026). Citation check: ESTIMATING ABUNDANCE FROM REPEATED PRESENCE–ABSENCE DATA OR POINT COUNTS. https://app.cochat.ai/papers/10.1890/0012-9658(2003)084%5B0777:eafrpa%5D2.0.co;2
- The paper
- Royle, J. A., & Nichols, J. D. (2003). ESTIMATING ABUNDANCE FROM REPEATED PRESENCE–ABSENCE DATA OR POINT COUNTS. Ecology. https://doi.org/10.1890/0012-9658(2003)084%5B0777%3Aeafrpa%5D2.0.co%3B2
