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Title (Primary) Assigning occurrence data to cryptic taxa improves climatic niche assessments: Biodecrypt, a new tool tested on European butterflies
Author Platania, L.; Menchetti, M.; Dincă, V.; Corbella, C.; Kay‐Lavelle, I.; Vila, R.; Wiemers, M.; Schweiger, O.; Dapporto, L.;
Journal Global Ecology and Biogeography
Year 2020
Department BZF;
Volume 29
Issue 10
Language englisch;
POF III (all) T11;
Data links https://doi.org/10.5061/dryad.hmgqnk9dh
Supplements https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2Fgeb.13154&file=geb13154-sup-0001-Appendix_S1.docx
https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2Fgeb.13154&file=geb13154-sup-0002-Appendix_S2.txt
Keywords biodecrypt; climatic niches; CLIMBER variables; cryptic taxa; European butterflies; occurrence data
Abstract

Aim

Occurrence data are fundamental to macroecology, but accuracy is often compromised when multiple units are lumped together (e.g., in recently separated cryptic species or in citizen science records). Using amalgamated data leads to inaccuracy in species mapping, to biased beta‐diversity assessments and to potentially erroneously predicted responses to climate change. We provide a set of R functions (biodecrypt) to objectively attribute unidentified occurrences to the most probable taxon based on a subset of identified records.

Innovation

Biodecrypt assumes that unidentified occurrences can only be attributed at certain distances from areas of sympatry. The function draws concave hulls based on the subset of identified records; subsequently, based on hull geometry, it attributes (or not) unidientified records to a given taxon. Concavity can be imposed with an alpha value and sea or land areas can be excluded. A cross‐validation function tests attribution reliability and another function optimises the parameters (alpha, buffer, distance ratio between hulls). We applied the procedure to 16 European butterfly complexes recently separated into 33 cryptic species for which most records were amalgamated. We compared niche similarity and divergence between cryptic taxa, and re‐calculated and contributed updated climatic niche characteristics of the butterflies in Europe (CLIMBER).

Main conclusions

Biodecrypt showed a cross‐validated correct attribution of known records always ≥ 98% and attributed more than 80% of unidientified records to the most likely taxon in parapatric species. The functions determined where records can be assigned even for largely sympatric species, and highlighted areas where further sampling is required. All the cryptic taxa showed significantly diverging climatic niches, reflected in different values of mean temperature and precipitation compared to the values originally provided in the CLIMBER database. The substantial fraction of cryptic taxa existing across different taxonomic groups and their divergence in climatic niches highlight the importance of using reliably assigned occurrence data in macroecology.

ID 23499
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=23499
Platania, L., Menchetti, M., Dincă, V., Corbella, C., Kay‐Lavelle, I., Vila, R., Wiemers, M., Schweiger, O., Dapporto, L. (2020):
Assigning occurrence data to cryptic taxa improves climatic niche assessments: Biodecrypt, a new tool tested on European butterflies
Glob. Ecol. Biogeogr. 29 (10), 1852 - 1865