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Effects of publication bias on conservation planning
Authors:R Hickisch  T Hodgetts  P J Johnson  C Sillero-Zubiri  K Tockner  DW Macdonald
Institution:1. Wildlife Conservation Research Unit (WildCRU), Department of Zoology, University of Oxford, The Recanati-Kaplan Centre, Tubney House, Tubney, OX13 5QL U.K.;2. Wildlife Conservation Research Unit (WildCRU), Department of Zoology, University of Oxford, The Recanati-Kaplan Centre, Tubney House, Tubney, OX13 5QL U.K.

Born Free Foundation, Horsham, RH12 4QP U.K.;3. Department of Ecosystem Research, Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), 12587 Berlin, Germany

Austrian Science Fund (FWF), Sensengasse 1, 1090 Vienna, Austria

Institute of Biology, Freie Universität Berlin, Altensteinstraße 6, 14195 Berlin, Germany

Abstract:Conservation planners need reliable information on spatial patterns of biodiversity. However, existing data sets are skewed because some ecosystems, taxa, and locations are underrepresented. We determined how many articles have been published in recent decades on the biodiversity of different countries and their constituent provinces. We searched the Web of Science catalogues Science Citation Index (SCI) and Social Science Citation Index (SSCI) for biodiversity-related articles published from 1993 to 2016 that included country and province names. We combined data on research publication frequency with other provincial-scale factors hypothesized to affect the likelihood of research activity (i.e., economic development, human presence, infrastructure, and remoteness). Areas that appeared understudied relative to the biodiversity expected based on site climate likely have been inaccessible to researchers for reasons, notably armed conflict. Geographic publication bias is of most concern in the most remote areas of sub-Saharan Africa and South America. Our provincial-scale model may help compensate for publication biases in conservation planning by revealing the spatial extent of research needs and the low cost of redoing this analysis annually.
Keywords:accessibility  geographic bias  maps  publication density  sampling effort  accesibilidad  densidad de publicaciones  esfuerzo de muestreo  mapas  sesgo geográfico  地理偏倚  地图  发表密度  抽样工作
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