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.
Highlights
The number of publications and journals in the academic sciences is vast and continuing to increase (Ferreira et al 2015)
We summarise by emphasising two different related points: firstly, the geographical and taxonomic distribution of the animal pollination literature is highly concentrated in North America and Europe in the honey bees and bumble bees, many studies do exist for other species and geographic regions; and secondly, the development of text-analysis tools shows significant promise in optimizing the search for information on animal pollination, both through capturing data on underrepresented regions and taxa, and through speeding up the search process
In doing so we have confirmed that the literature is heavily focused on the honey bees and bumble bees of North America and Europe, many studies exist for other taxa and regions
Summary
Text-analysis reveals taxonomic and geographic disparities in animal pollination literature. 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%). 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 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
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