European Journal of Entomology (May 2023)

Contribution of the public to the modelling of the distributions of species: Occurrence and current and potential distribution of the ant Manica rubida (Hymenoptera: Formicidae)

  • Patrick KRAPF

DOI
https://doi.org/10.14411/eje.2023.017
Journal volume & issue
Vol. 120, no. 1
pp. 137 – 148

Abstract

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Maps and models of the distributions of animals and plants are important for assessing their current and future status. Such models rely on information on the environment and occurrence of species. While data on the environment are often easily gathered that on the occurrence of species is often tedious and expensive to collect. An easy way to gather data on species occurrences is to use online platforms such as GBIF or iNaturalist, which rely on the public. This data can be used to produce maps and develop models of the distributions of various animals, such as ants. Even though there are a few in depth studies on the distributions of ant species, knowledge of the distribution and status of many species is lacking. One such species is the widespread ant Manica rubida, which is currently not included in the international Red List. Here, data on the occurrence of M. rubida recorded in online platforms, literature and collected during a field survey were used to develop a map of its distribution and a species model, in order to evaluate its current status. A total of 611 occurrences were found and indicate that this species mainly occurs in the European Alps and other Eurasian mountain ranges. Records of most occurrences were obtained from online platforms and the number increased significantly over the last two decades and indicate this species occurs over an altitudinal range of 3000 m. The species model revealed that there are potential areas of suitable habitat for M. rubida in the Pyrenees, European Uplands, Pindus Mountains, Balkan Mountains and Pontic mountains. Currently, M. rubida does not seem to be threatened by climate change, but it is recommended that the monitoring of its distribution should be continued. This study reveals that data from online platforms can provide the information necessary for developing species models, which can be used to assess the current status and estimate the potential effect of climate change on a species and plan conservation strategies.

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