Evidence map›Paper›PMID 33263214›Full record

ArticleGlobal change biology2021

Socio-ecological drivers of vertebrate biodiversity and human-animal interfaces across an urban landscape.

James M Hassell, Judy M Bettridge, Melissa J Ward, Allan Ogendo, Titus Imboma, Dishon Muloi, Francesco Fava, Timothy P Robinson, Michael Begon, Eric M Fèvre

Open access · hybridAbstract read
In one paragraph

Article in Global change biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  4. Epidemiological connectivity between humans and animals across an urban landscape.Proceedings of the National Academy of Sciences of the United States of America · 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

10 authors at 7 institutions in 4 countries.

James M HassellInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.ORCID https://orcid.org/0000-0002-4710-2827
Judy M BettridgeInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.ORCID https://orcid.org/0000-0002-3917-4660
Melissa J WardCentre for Immunity, Infection and Evolution, University of Edinburgh, Edinburgh, UK.
Allan OgendoInternational Livestock Research Institute, Nairobi, Kenya.
Titus ImbomaNational Museums of Kenya, Nairobi, Kenya.
Dishon MuloiInternational Livestock Research Institute, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-6236-2280
Francesco FavaInternational Livestock Research Institute, Nairobi, Kenya.ORCID https://orcid.org/0000-0003-3748-7417
Timothy P RobinsonFood and Agriculture Organization of the United Nations, Rome, Italy.
Michael BegonInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.ORCID https://orcid.org/0000-0003-1715-5327
Eric M FèvreInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.ORCID https://orcid.org/0000-0001-8931-4986
International Livestock Research Institute · KESmithsonian Institution · USUniversity of Liverpool · GBCentre for Immunity, Infection and Evolution · GBFood and Agriculture Organization of the United Nations · ITJohn Radcliffe Hospital · GBNational Museums of Kenya · KE

Funding

Biotechnology and Biological Science Research CouncilCGIAR Research Program on Agriculture for Nutrition and Health NAEconomic and Social Research CouncilMedical Research Council G1100783Medical Research Council MR/R015090/1Natural Environment Research Council G1100783/1Wellcome TrustWellcome Trust WT103953MA
6 · The paper itself

Abstract

Urbanization can have profound impacts on the distributional ecology of wildlife and livestock, with implications for biodiversity conservation, ecosystem services and human health. A wealth of studies have assessed biotic responses to urbanization in North America and Europe, but there is little empirical evidence that directly links human activities to urban biodiversity in the tropics. Results from a large-scale field study conducted in Nairobi, Kenya, are used to explore the impact of human activities on the biodiversity of wildlife and livestock with which humans co-exist across the city. The structure of sympatric wildlife, livestock and human populations are characterized using unsupervised machine learning, and statistical modelling is used to relate compositional variation in these communities to socio-ecological drivers occurring across the city. By characterizing landscape-scale drivers acting on these interfaces, we demonstrate that socioeconomics, elevation and subsequent changes in habitat have measurable impacts upon the diversity, density and species assemblage of wildlife, livestock and humans. Restructuring of wildlife and livestock assemblages (both in terms of species diversity and composition) has important implications for the emergence of novel diseases at urban interfaces, and we therefore use our results to generate a set of testable hypotheses that explore the influence of urban change on microbial communities. These results provide novel insight into the impact of urbanization on biodiversity in the tropics. An understanding of associations between urban processes and the structure of human and animal populations is required to link urban development to conservation efforts and risks posed by disease emergence to human health, ultimately informing sustainable urban development policy.

Indexed as

BiodiversityEcosystemAnimalsCitiesConservation of Natural ResourcesEuropeHumansKenyaNorth AmericaUrbanizationVertebratesbiodiversitycommunity ecologydiseaseland use changesustainable developmenttropicsurbanizationwildlife-livestock-human interface

Identifiers

PMID33263214
PMCPMC7983883
OpenAlexW3109452721

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.