Evidence map›Paper›PMID 35108346›Full record

ArticlePloS one2022

Road-based line distance surveys overestimate densities of olive baboons.

Christian Kiffner, Filipa M D Paciência, Grace Henrich, Rehema Kaitila, Idrissa S Chuma, Pay Mbaryo, Sascha Knauf, John Kioko, Dietmar Zinner

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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  5. Djaffa Mountains guereza (Primate biology · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Christian KiffnerThe School For Field Studies, Center For Wildlife Management Studies, Karatu, Tanzania.ORCID 0000-0002-7475-9023
Filipa M D PaciênciaCognitive Ethology Laboratory, Germany Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany.
Grace HenrichVassar College, Poughkeepsie, New York State, United States of America.
Rehema KaitilaTanzania National Parks, Conservation Science Unit (Veterinary), Arusha, Tanzania.
Idrissa S ChumaTanzania National Parks, Conservation Science Unit (Veterinary), Arusha, Tanzania.
Pay MbaryoTanzania National Parks, Conservation Science Unit (Veterinary), Arusha, Tanzania.
Sascha KnaufInstitute of International Animal Health / One Health, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Greifswald, Insel Riems, Germany.
John KiokoThe School For Field Studies, Center For Wildlife Management Studies, Karatu, Tanzania.
Dietmar ZinnerCognitive Ethology Laboratory, Germany Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany.ORCID 0000-0003-3967-8014

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimating population density and population dynamics is essential for understanding primate ecology and relies on robust methods. While distance sampling theory provides a robust framework for estimating animal abundance, implementing a constrained, non-systematic transect design could bias density estimates. Here, we assessed potential bias associated with line distance sampling surveys along roads based on a case study with olive baboons (Papio anubis) in Lake Manyara National Park (Tanzania). This was achieved by comparing density estimates of olive baboons derived from road transect surveys with density estimates derived from estimating the maximum number of social groups (via sleeping site counts) and multiplying this metric with the estimated average size of social groups. From 2011 to 2019, we counted olive baboons along road transects, estimated survey-specific densities in a distance sampling framework, and assessed temporal population trends. Based on the fitted half-normal detection function, the mean density was 132.5 baboons km-2 (95% CI: 110.4-159.2), however, detection models did not fit well due to heaping of sightings on and near the transects. Density estimates were associated with relatively wide confidence intervals that were mostly caused by encounter rate variance. Based on a generalized additive model, baboon densities were greater during the rainy seasons compared to the dry seasons but did not show marked annual trends. Compared to estimates derived from the alternative method (sleeping site survey), distance sampling along road transects overestimated the abundance of baboons more than threefold. Possibly, this overestimation was caused by the preferred use of roads by baboons. While being a frequently used technique (due to its relative ease of implementation compared to spatially randomized survey techniques), inferring population density of baboons (and possibly other species) based on road transects should be treated with caution. Beyond these methodological concerns and considering only the most conservative estimates, baboon densities in LMNP are among the highest across their geographic distribution range.

Indexed as

Population DensityPopulation DynamicsAnimalsData CollectionEnvironmental MonitoringPapio anubis

Identifiers

PMID35108346
PMCPMC8809570

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.