Kass, Jamie 
ORCID: https://orcid.org/0000-0002-9432-895X, Guénard, Benoit, Dudley, Kenneth, Jenkins, Clinton ORCID: https://orcid.org/0000-0003-2198-0637, Azuma, Fumika, Fisher, Brian, Parr, Catherine, Gibb, Heloise ORCID: https://orcid.org/0000-0001-7194-0620, Longino, John, Ward, Philip, Chao, Anne, Lubertazzi, David, Weiser, Michael, Jetz, Walter, Guralnick, Robert, Blatrix, Rumsaïs, Des Lauriers, James, Donoso, David, Georgiadis, Christos ORCID: https://orcid.org/0000-0002-2728-3122, Gomez, Kiko, Hawkes, Peter, Johnson, Robert ORCID: https://orcid.org/0000-0002-0242-6385, Lattke, John, MacGown, Joe, Mackay, William, Robson, Simon, Sanders, Nathan ORCID: https://orcid.org/0000-0001-6220-6731, Dunn, Robert and Economo, Evan
(2022)
The global distribution of known and undiscovered ant biodiversity.
[Data Collection]
Description
Invertebrates constitute the majority of animal species and are critical for ecosystem functioning and services. Nonetheless, global invertebrate biodiversity patterns and their congruences with vertebrates remain largely unknown. We resolve the first high-resolution (~20-km) global diversity map for a major invertebrate clade, ants, using biodiversity informatics, range modelling, and machine learning to synthesize existing knowledge and predict the distribution of undiscovered diversity. We find that ants and different vertebrate groups have distinct features in their patterns of richness and rarity, underscoring the need to consider a diversity of taxa in conservation. However, despite their phylogenetic and physiological divergence, ant distributions are not highly anomalous relative to variation among vertebrate clades. Furthermore, our models predict rarity centers largely overlap (78%), suggesting that general forces shape endemism patterns across taxa. This raises confidence that conservation of areas important for small-ranged vertebrates will benefit invertebrates while providing a “treasure map” to guide future discovery.
| Keywords: | Dryad, ants,distribution range,biodiversity distribution,global dataset,species distribution models ,random forest model,Vertebrates ,Geospatial Information, |
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| Depositing User: | Data Catalogue Admin |
| Date Deposited: | 23 Nov 2022 14:12 |
| Last Modified: | 23 Nov 2022 14:12 |
| DOI: | 10.5061/dryad.wstqjq2pp |
| Original Record Link: | https://datadryad.org/stash/share/7UiglG0CCHhlBbKtrFZN0i_U74LBdDtvfweqmDqDfNQ |
| URI: | https://datacat.liverpool.ac.uk/id/eprint/1880 |
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