Evidence map›Paper›PMID 33378382›Full record

ArticlePloS one2020

Classification and characterisation of livestock production systems in northern Tanzania.

William A de Glanville, Alicia Davis, Kathryn J Allan, Joram Buza, John R Claxton, John A Crump, Jo E B Halliday, Paul C D Johnson, Tito J Kibona, Blandina T Mmbaga and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
10.4field-weighted citation impact, top 2% of its field
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

22 citing papers in PubMed, 49 citations in OpenAlex.

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  15. An outbreak of Rift Valley fever among peri-urban dairy cattle in northern Tanzania.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2022
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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

15 authors at 6 institutions in 4 countries.

William A de GlanvilleInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0003-2474-0356
Alicia DavisSchool of Social and Political Sciences, University of Glasgow, Glasgow, United Kingdom.
Kathryn J AllanInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
Joram BuzaNelson Mandela African Institution of Science and Technology, Arusha, Tanzania.
John R ClaxtonInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
John A CrumpCentre for International Health, University of Otago, Dunedin, New Zealand.
Jo E B HallidayInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0002-1329-9035
Paul C D JohnsonInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0001-6663-7520
Tito J KibonaNelson Mandela African Institution of Science and Technology, Arusha, Tanzania.
Blandina T MmbagaDuke Global Health Institute, Duke University, Durham, NC, United States of America.
Emmanuel S SwaiDepartment of Veterinary Services, Ministry of Livestock and Fisheries, Dhaka, Tanzania.
Christopher B UzzellSchool of Geographical and Earth Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0002-4204-3485
Jonathan YoderSchool of Economic Sciences, Washington State University, Pullman, WA, United States of America.ORCID 0000-0002-9049-9591
Jo SharpSchool of Geography and Sustainable Development, University of St Andrews, St Andrews, United Kingdom.
Sarah CleavelandInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
University of Glasgow · GBDuke University · USNelson Mandela African Institution of Science and Technology · TZMinistry of Livestock and Fisheries · TZUniversity of St Andrews · GBWashington State University · US

Funding

Biotechnology and Biological Sciences Research Council BB/L018845/1Biotechnology and Biological Sciences Research Council BB/L018926/1Medical Research CouncilWellcome TrustWellcome Trust 096400/Z/11/Z
6 · The paper itself

Abstract

Livestock keepers in sub-Saharan Africa face a range of pressures, including climate change, land loss, restrictive policies, and population increase. Widespread adaptation in response can lead to the emergence of new, non-traditional typologies of livestock production. We sought to characterise livestock production systems in two administrative regions in northern Tanzania, an area undergoing rapid social, economic, and environmental change. Questionnaire and spatial data were collected from 404 livestock-keeping households in 21 villages in Arusha and Manyara Regions in 2016. Multiple factor analysis and hierarchical cluster analysis were used to classify households into livestock production systems based on household-level characteristics. Adversity-based indicators of vulnerability, including reports of hunger, illness, and livestock, land and crop losses were compared between production systems. Three distinct clusters emerged through this process. The ethnic, environmental and livestock management characteristics of households in each cluster broadly mapped onto traditional definitions of 'pastoral', 'agro-pastoral' and 'smallholder' livestock production in the study area, suggesting that this quantitative classification system is complementary to more qualitative classification methods. Our approach allowed us to demonstrate a diversity in typologies of livestock production at small spatial scales, with almost half of study villages comprising more than one production system. We also found indicators of change within livestock production systems, most notably the adoption of crop agriculture in the majority of pastoral households. System-level heterogeneities in vulnerability were evident, with agro-pastoral households most likely to report hunger and pastoral households most likely to report illness in people and livestock, and livestock losses. We demonstrate that livestock production systems can provide context for assessing household vulnerability in northern Tanzania. Policy initiatives to improve household and community well-being should recognise the continuing diversity of traditional livestock production systems in northern Tanzania, including the diversity that can exist at small spatial scales.

Indexed as

Crops, AgriculturalLivestockAgricultureAnimal HusbandryAnimalsHumansTanzania

Identifiers

PMID33378382
PMCPMC7773236
OpenAlexW3116867541

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.