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      The socio-economic drivers of bushmeat consumption during the West African Ebola crisis

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          Abstract

          Bushmeat represents an important source of animal protein for humans in tropical Africa. Unsustainable bushmeat hunting is a major threat to wildlife and its consumption is associated with an increased risk of acquiring zoonotic diseases, such as Ebola virus disease (EVD). During the recent EVD outbreak in West Africa, it is likely that human dietary behavior and local attitudes toward bushmeat consumption changed in response to the crisis, and that the rate of change depended on prevailing socio-economic conditions, including wealth and education. In this study, we therefore investigated the effects of income, education, and literacy on changes in bushmeat consumption during the crisis, as well as complementary changes in daily meal frequency, food diversity and bushmeat preference. More specifically, we tested whether wealthier households with more educated household heads decreased their consumption of bushmeat during the EVD crisis, and whether their daily meal frequency and food diversity remained constant. We used Generalized Linear Mixed Models to analyze interview data from two nationwide household surveys across Liberia. We found an overall decrease in bushmeat consumption during the crisis across all income levels. However, the rate of bushmeat consumption in high-income households decreased less than in low-income households. Daily meal frequency decreased during the crisis, and the diversity of food items and preferences for bushmeat species remained constant. Our multidisciplinary approach to study the impact of EVD can be applied to assess how other disasters affect social-ecological systems and improve our understanding and the management of future crises.

          Author summary

          The consumption of wild animal meat, commonly known as bushmeat, is widespread throughout tropical regions. Bushmeat provides an essential source of protein and income for human livelihoods. However, its consumption is linked to the transmission of zoonotic diseases, such as Ebola, and its over-harvest is a major threat to many wildlife species. The bushmeat trade therefore encompasses a broad range of socio-economic and ecological issues. As such, we think it is highly important to use an interdisciplinary approach to investigate the drivers of bushmeat consumption, to improve our understanding and management of future crises. Our analysis of household interview data collected during two surveys across Liberia shows that there was an overall decrease in bushmeat consumption during the recent Ebola crisis. However, the consumption of bushmeat in wealthier households decreased less than in poorer households. In addition, we found that daily meal frequency decreased during the crisis, and the diversity of food items and preferences for bushmeat species remained constant.

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          Most cited references62

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          Conclusions beyond support: overconfident estimates in mixed models

          Mixed-effect models are frequently used to control for the nonindependence of data points, for example, when repeated measures from the same individuals are available. The aim of these models is often to estimate fixed effects and to test their significance. This is usually done by including random intercepts, that is, intercepts that are allowed to vary between individuals. The widespread belief is that this controls for all types of pseudoreplication within individuals. Here we show that this is not the case, if the aim is to estimate effects that vary within individuals and individuals differ in their response to these effects. In these cases, random intercept models give overconfident estimates leading to conclusions that are not supported by the data. By allowing individuals to differ in the slopes of their responses, it is possible to account for the nonindependence of data points that pseudoreplicate slope information. Such random slope models give appropriate standard errors and are easily implemented in standard statistical software. Because random slope models are not always used where they are essential, we suspect that many published findings have too narrow confidence intervals and a substantially inflated type I error rate. Besides reducing type I errors, random slope models have the potential to reduce residual variance by accounting for between-individual variation in slopes, which makes it easier to detect treatment effects that are applied between individuals, hence reducing type II errors as well.
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            Bushmeat hunting, wildlife declines, and fish supply in West Africa.

            The multibillion-dollar trade in bushmeat is among the most immediate threats to the persistence of tropical vertebrates, but our understanding of its underlying drivers and effects on human welfare is limited by a lack of empirical data. We used 30 years of data from Ghana to link mammal declines to the bushmeat trade and to spatial and temporal changes in the availability of fish. We show that years of poor fish supply coincided with increased hunting in nature reserves and sharp declines in biomass of 41 wildlife species. Local market data provide evidence of a direct link between fish supply and subsequent bushmeat demand in villages and show bushmeat's role as a dietary staple in the region. Our results emphasize the urgent need to develop cheap protein alternatives to bushmeat and to improve fisheries management by foreign and domestic fleets to avert extinctions of tropical wildlife.
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              Poaching is more than an Enforcement Problem

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Negl Trop Dis
                PLoS Negl Trop Dis
                plos
                plosntds
                PLoS Neglected Tropical Diseases
                Public Library of Science (San Francisco, CA USA )
                1935-2727
                1935-2735
                10 March 2017
                March 2017
                : 11
                : 3
                : e0005450
                Affiliations
                [1 ]Department of Primatology, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
                [2 ]Institute for Sociology, University of Leipzig, Leipzig, Germany
                [3 ]German Centre for Integrative Biodiversity Research, Leipzig, Germany
                [4 ]Forestry Development Authority, Wheintown, Mount Barclay, Liberia
                [5 ]School of Biological and Physical Sciences, University of Nairobi, Nairobi, Kenya
                Common Heritage Foundation, NIGERIA
                Author notes

                The authors have declared that no competing interests exist.

                • Conceptualization: ION LB TGa CS HSK JJ.

                • Data curation: ION.

                • Formal analysis: CS ION.

                • Funding acquisition: HSK JJ.

                • Investigation: TGr CT ML.

                • Methodology: MA TGa TGr CT ML CS HSK JJ.

                • Resources: HSK JJ.

                • Supervision: HSK JJ.

                • Writing – original draft: ION.

                • Writing – review & editing: MA LB TGa CS HSK JJ.

                Author information
                http://orcid.org/0000-0002-6171-7422
                Article
                PNTD-D-16-01977
                10.1371/journal.pntd.0005450
                5362244
                28282378
                ec4c34ee-7fd4-45bd-9f79-da23f0c7178d
                © 2017 Ordaz-Németh et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 31 October 2016
                : 2 March 2017
                Page count
                Figures: 5, Tables: 7, Pages: 22
                Funding
                This study was funded by the Robert Bosch Foundation, the Max-Planck Society, and Erasmus+. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Physiology
                Physiological Processes
                Food Consumption
                Medicine and Health Sciences
                Physiology
                Physiological Processes
                Food Consumption
                Biology and Life Sciences
                Agriculture
                Animal Products
                Meat
                Biology and Life Sciences
                Nutrition
                Diet
                Food
                Meat
                Medicine and Health Sciences
                Nutrition
                Diet
                Food
                Meat
                Research and Analysis Methods
                Research Design
                Survey Research
                Surveys
                Biology and Life Sciences
                Organisms
                Animals
                Animal Types
                Domestic Animals
                Biology and Life Sciences
                Zoology
                Animal Types
                Domestic Animals
                Biology and Life Sciences
                Behavior
                Habits
                Eating Habits
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Psychology
                Academic Skills
                Literacy
                Biology and Life Sciences
                Psychology
                Cognitive Psychology
                Academic Skills
                Literacy
                Social Sciences
                Psychology
                Cognitive Psychology
                Academic Skills
                Literacy
                Biology and Life Sciences
                Organisms
                Animals
                Animal Types
                Wildlife
                Biology and Life Sciences
                Zoology
                Animal Types
                Wildlife
                Medicine and Health Sciences
                Tropical Diseases
                Neglected Tropical Diseases
                Viral Hemorrhagic Fevers
                Ebola Hemorrhagic Fever
                Medicine and Health Sciences
                Infectious Diseases
                Viral Diseases
                Viral Hemorrhagic Fevers
                Ebola Hemorrhagic Fever
                Custom metadata
                vor-update-to-uncorrected-proof
                2017-03-22
                All relevant data are within the paper and its Supporting Information files.

                Infectious disease & Microbiology
                Infectious disease & Microbiology

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