The DOI matches its Crossref record; 33 of the 36 references it cites were found in a registry or an index.
Monitoring mammal populations with line transect techniques in African forests
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Distance Sampling-Estimating Abundance of Biological Populations.
Sprent, P., Buckland, S. T., Anderson, D. R., Burnham, K. P., & Laake, J. L. (1994) · Journal of Applied Ecology · doi:10.2307/2404172 · Cited by 1,855
Tutin, C. E. G., & Fernandez, M. (1984) · American Journal of Primatology · doi:10.1002/ajp.1350060403 · Cited by 332
The chimpanzees of Kibale Forest : a field study of ecology and social structure
Ghiglieri, M. P. (1984) · Columbia University Press eBooks · Cited by 250
Whitesides, G. H., Oates, J. F., Green, S. M., & Kluberdanz, R. P. (1988) · Journal of Animal Ecology · doi:10.2307/4910 · Cited by 249
Kremen, C., Merenlender, A. M., & Murphy, D. D. (1994) · Conservation Biology · doi:10.1046/j.1523-1739.1994.08020388.x · Cited by 243
The Effect of Selective Logging on the Primate Populations in the Budongo Forest Reserve, Uganda
Plumptre, A. J., & Reynolds, V. (1994) · Journal of Applied Ecology · doi:10.2307/2404154 · Cited by 236
Self-citationBiomass of Rain Forest Mammals in the Lope Reserve, Gabon
WHITE, L. J. T. (1994) · Journal of Animal Ecology · doi:10.2307/5217 · Cited by 229
Censusing chimpanzees in the Budongo Forest, Uganda
Plumptre, A. J., & Reynolds, V. (1996) · International Journal of Primatology · doi:10.1007/bf02696160 · Cited by 186
Self-citationHashimoto, C. (1995) · Primates · doi:10.1007/bf02382870 · Cited by 177
What It Will Take to Monitor Forest Elephant Populations
Walsh, P. D., & WHITE, L. J. T. (1999) · Conservation Biology · doi:10.1046/j.1523-1739.1999.98148.x · Cited by 174
Research works printed but not linked: 12
- Alexander M. (, 1996, Management Planning for SSSIs.
- Buckland S.T., 1988, Estimated trends in abundance of dolphins associated with tuna in the eastern tropical Pacific, Report of the International Whaling Commission, 38, 411
- Dawson S. (1990)A model to estimate density of Asian elephants (Elephus maximus) in forest habitats.MSc Thesis.Oxford University Oxford UK.
- 10.1046/j.1365-3008.1998.d01-22.x · DOI
- Laake J.L., 1979, Users’ Manual for Program TRANSECT.
- Laake J.L., 1994, DISTANCE User's Guide V2.1.
- Ruggiero R.G. (1990)The ecology and conservation of the African elephant (Loxodonta african).PhD Thesis.University of Ann Arbor Ann Arbor MI.
- Staines B.W., 1987, Estimating the abundance of red deer (Cervus elaphus L.) and roe deer (Capreolus capreolus L.) and their current status in Great Britain, Symposium of the Zoological Society of London, 58, 131
- Struhsaker T.T. (, 1997, Ecology of an African Rain Forest.
- White L.J.T. (1992)Vegetation history and logging disturbance: effects on rainforest mammals in the Lope Reserve Gabon.PhD Thesis.University of Edinburgh Edinburgh UK.
- Wing L.D., 1970, Elephants and forests, Wildlife Monographs, 19, 1
- Wrogemann D. (1992)Wild chimpanzees in Lope Gabon: census method and habitat use.PhD Thesis.Bremen University Bremen Germany.
Cited by
Sorted by citations
Items 301–337 of 337
Demography, life histories, and population dynamics
Montenegro, O. L. (2013) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199659449.003.0015
Population genetics, molecular phylogenetics, and phylogeography
Blair, M. E., & Morales-Jiménez, A. L. (2013) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199659449.003.0014
Ecological monitoring and environmental impact assessments
Spellerberg, I. F. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511614699.013
Glossary of acronyms and abbreviations
Spellerberg, I. F. (2005) · doi:10.1017/cbo9780511614699.003
Biological and spatial scales in ecological monitoring
Spellerberg, I. F. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511614699.007
Predicting hunting success on willow ptarmigan using bag statistics and distance sampling estimates
Vogler, T. (2013) · NORA - Norwegian Open Research Archives
Appendix: The 1992 Convention on Biological Diversity
Spellerberg, I. F. (2005) · doi:10.1017/cbo9780511614699.014
Error analysis in the estimation of coral reef fish numbers from visual surveys
Halupka, K., BŁASZKOWSKA, J., Kołodziejczyk, N., Kulik, D., NOWAK, P., PRZEPIÓRKA, E., & Siemianowska, S. (2018) · Galaxea Journal of Coral Reef Studies · doi:10.3755/galaxea.20.1_13
Elenga, G. B. E., Gaillard, J., Musibono, D. E., Ifuta, S. N. B., & Bonenfant, C. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/556332
Bonnin, N. (2021) · Liverpool John Moores University · doi:10.24377/ljmu.t.00015075
Intrasexual Competition and Reproduction in Wild Blue Monkeys
Roberts, S. (2014) · doi:10.7916/d87p8wj2
Spellerberg, I. F. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511614699.015
Trivedi, S., & Bharucha, E. (2022) · Research Square · doi:10.21203/rs.3.rs-1849725/v1
Rostant, L. V., Agard, J. B. R., Devenish‐Nelson, E. S., Beddoe, L. A., Nathai-Gyan, N., & Nelson, H. P. (2023) · Neotropical Biodiversity · doi:10.1080/23766808.2023.2177004
Liu, F., Zhou, J., Liu, X., & Chen, Y. F. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4664284
(2013) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199659449.002.0005
(2013) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199659449.002.0006
(2013) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199659449.002.0008
(2013) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199659449.002.0004
Invasive Bubalus bubalis may reduce by half the flooded area in a western Amazonian Ramsar site
da Silva, L. F., Watanabe, M., Baccaro, F. B., Assunção, W. R. C., Júnior, C. C. S., Nienow, S. D. S., & Cruz, P. V. (2024) · Biological Invasions · doi:10.1007/s10530-024-03417-z
Akhtar, J. A., Ashraf, I., & Naseer, J. (2025) · Journal of Zoology and Systematics · doi:10.56946/jzs.v3i1.634
Patil, V., Mhaske, C., Stalin, D., Saste, M., & Patil, P. (2025) · Biophilia Insights · doi:10.52679/bi.e202531002
Melo‐Dias, M., Ribeiro, L. G., Queiroz, J. F., Penhacek, M., Custódio, R. J., Rodrigues, D. D. J., & Rosa, C. (2025) · Austral Ecology · doi:10.1111/aec.70088
Intermediate-Task Transfer Learning for Bioacoustic Data
Kath, H., Gouvêa, T. S., & Sonntag, D. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-02813-6_4
Forest monitoring tools and techniques with special emphasis on tropical forests
Ekka, P., Kumar, G., Kumar, A., & Saikia, P. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-18949-4.00014-2
Ali, A., Rössel-Ramírez, D. W., Jan, A., Sarı, İ., Martín-Taboada, A., Juan–Rueda, J., Djukanovich-Iturbe, M., Zaman, I.-U., López‐Bao, J. V., & Khan, M. N. (2026) · American Journal of Primatology · doi:10.1002/ajp.70117
Yıldırım, E. M., & Ulutürk, S. (2026) · Life · doi:10.3390/life16030432
A multi-model optimized sampling design for ecotoxicological research on free-ranging species
Jena, P., Majhi, A., Paul, R., & Prusty, B. A. K. (2026) · Proceedings of the Indian National Science Academy · doi:10.1007/s43538-026-00789-9
Wura, M. J. G., Morjan, M. D., Lado, T. F., Petrozzi, F., Demaya, G. S., & Luiselli, L. M. (2026) · Tropical Conservation Science · doi:10.1177/19400829261457332
Chookaew, N., Phumsathan, S., Simcharoen, A., Duangchantrasiri, S., & Pongpattananurak, N. (2026) · Nature Conservation · doi:10.3897/natureconservation.64.184399 · Cited by 1
Lee, A. T., & Carstens, J. C. (2026) · African Zoology · doi:10.1080/15627020.2026.2650306
Ismail, I. O., Werema, C., & Temu, S. E. (2026) · Research Square · doi:10.21203/rs.3.rs-9705054/v1
de le Vingne, I., Bizot, S., Mesaus, E., Alderson, Z., Strindberg, S., Subrata, S. A., Lhoest, S., & Brotcorne, F. (2026) · International Journal of Primatology · doi:10.1007/s10764-026-00591-w
Spellerberg, I. F. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511614699.002
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review