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Monitoring mammal populations with line transect techniques in African forests
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Summary 1. Line transect survey techniques have been used to estimate population density for a variety of mammal species in tropical forests. In many cases indirect methods, surveying signs of animals such as counts of dung or nests, have been used because of the poor visibility in these forests. The estimates of the production and decomposition rates of these signs each have their associated errors; however, for the majority of published studies these errors have not been incorporated into the estimate of the standard errors or confidence limits of the density estimate. An equation is given showing how this should be done. 2. An equation is also given relating the resolution (R) of a density estimate to the coefficient of variation (CV) of the estimate. This shows that to detect a 10% change in a population the CV must be 3·6% (with a power of 50%) or 2·4% (with 80% power). Using this equation and data from studies in Africa, it is shown that differences of less than 10–30% change in the population are unlikely to be detected between two surveys where visual sightings of animals are made. When indirect methods of estimating the population are used, it is unlikely that less than a 30–50% change in the population could be detected. 3. Some studies have surveyed primate groups using estimates of an average group spread. Data from primate groups in Budongo Forest, Uganda, show that group spread is highly variable and varies at different times of day and between months. This survey technique is not recommended. 4. If line transects are used for monitoring populations, conversion factors should be minimized as each contributes to an increase in the CV and a reduction in the ability to detect small changes in population density. 5. Monitoring trends in abundance over several survey periods can improve the detection of change, although this is costly and requires several surveys before any conclusions can be reached. Re‐using transects in subsequent surveys can also reduce the variation around the estimate and will improve the resolution. Focusing survey efforts in areas of high density is an alternative strategy, but one that could lead to other errors as high‐density areas may be the safest and hence the last to show change. Using biased survey methods is also a promising technique that can increase the precision of surveys. It is concluded that a combination of different survey methods will ensure that changes in abundance are identified.
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“Transect methods using spoor and droppings must deal with differences in skill levels of those conducting the survey, and decay and defecation rates, all of which contribute to inaccuracy and increased variance in abundance estimates (Plumptre, 2000).”
From Field surveys for the Endangered pygmy hippopotamus Choeropsis liberiensis in Sapo National Park, Liberia (2011) · cites this paper as Plumptre, 2000
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Metadata
- Authors
- Plumptre, A. J.
- Affiliations
- Wildlife Conservation Society (US)
- Corresponding author
- Plumptre, Andrew J.
- ORCID
- Plumptre, Andrew J.
- Venue
- Journal of Applied Ecology
- Publisher
- Wiley
- Published
- 2000-04
- Volume
- 37
- Issue
- 2
- Pages
- 356-368
- ISSN
- 0021-8901 (ISSN-L)
- 1365-2664
- OpenAlex
- W2006683025
- Cited by
- 338
- References
- 36
- Citations by year
- 2026: 10 · 2025: 10 · 2024: 3 · 2023: 11 · 2022: 10 · 2021: 18 · 2020: 14 · 2019: 8 · 2018: 7 · 2017: 10 · 2016: 8 · 2015: 15 · 2014: 12 · 2013: 41 · 2012: 26
- FWCI
- 7.29
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Applied Ecology (publishedVersion)
- Funders
- Wildlife Conservation Society
- Fauna and Flora International
- University of Oxford
- University of Bristol
- Topics
- Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
- Physical Sciences › Mathematics › Statistics and Probability › Census and Population Estimation
- Physical Sciences › Environmental Science › Ecology › Animal Ecology and Behavior Studies
- Keywords
- line transect survey, population monitoring, detection probability, coefficient of variation, dung counts, conversion factors, survey bias, Budongo Forest, African tropical forests
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