Text‐analysis reveals taxonomic and geographic disparities in animal pollination literature. Issue 1 (14th October 2019)

• Record Type: Journal Article
• Authors: Millard, Joseph W.; Freeman, Robin; Newbold, Tim
• Is Part Of: Ecography. Volume 43:Issue 1(2020)
• Page Start: 44
• Page End: 59
• Publication Date: 2019-10-14
• Subjects: animal pollination -- ecological systematic review -- global biodiversity -- named-entity recognition -- pollination ecology -- text-analysis; Ecology -- Periodicals; Biodiversity -- Periodicals; 574.5
• DOI: 10.1111/ecog.04532
• Languages: English
• ISSNs: 0906-7590

Abstract

Abstract : Ecological systematic reviews and meta‐analyses have significantly increased our understanding of global biodiversity decline. However, for some ecological groups, incomplete and biased datasets have hindered our ability to construct robust, predictive models. One such group consists of the animal pollinators. Approximately 88% of wild plant species are thought to be pollinated by animals, with an estimated annual value of $230–410 billion dollars. Here we apply text‐analysis to quantify the taxonomic and geographical distribution of the animal pollinator literature, both temporally and spatially. We show that the publication of pollinator literature increased rapidly in the 1980s and 1990s. Taxonomically, we show that the distribution of pollinator literature is concentrated in the honey bees ( Apis ) and bumble bees ( Bombus ), and geographically in North America and Europe. At least 25% of pollination‐related abstracts mention a species of honey bee and at least 20% a species of bumble bee, and approximately 46% of abstracts are focussed on either North America (32%) or Europe (14%). Although these results indicate strong taxonomic and geographic biases in the pollinator literature, a large number of studies outside North America and Europe do exist. We then discuss how text‐analysis could be used to shorten the literature search for ecological systematic reviews and meta‐analyses, and to address more applied questions related to pollinator biodiversity, such as the identification of likely interacting plant–pollinator pairs and the number of pollinating species.