Odonata collections and databases

Abbott, John C.; Sandall, Emily L.

doi:10.1093/oso/9780192898623.003.0023

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…Robust national reference collections, serve as part of a solid base for biological sciences development (Abbott & Sandall, 2022). These collections help to overcome an historical impediment that still hinders odonatology development in our country: primary types of species described from Colombia deposited in foreign collections making the access difficult and possibly causing errors or misidentifications.…”

Section: Discussionmentioning

confidence: 99%

Commented checklist of the Odonata from Colombia

Bota-Sierra,

Álvarez-Álvarez,

Amaya

et al. 2024

IJO

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Colombian odonatological history was scarce until two decades ago. Here, we present an updated, thoroughly vetted, and refined checklist of taxonomic and geographical records of Colombian odonates, built upon the previous publication in 2011. To achieve this, we conducted an extensive literature review, and curated the most representative biological collections of odonates in the country. Our goal was to integrate new records and recently described species, while excluding misidentifications or doubtful identifications due to a lack of support from taxonomic revisions and specimens in collections. We report a total of 536 species, reflecting a 38% increase in odonate richness since the last published checklist in 2011. This number positions Colombia among the top ten countries with the highest number of odonates worldwide. We include important taxonomic details for each species in the checklist, the availability of female and/or larva description(s), and the IUCN species assessment. We also highlight rare or puzzling species, which records for the country are controversial. It is noteworthy that the majority of these contributions stem from local Colombian research efforts that have enriched our national reference collections, including ANDES-E, CEUA, and UARC. Geographically, the department with the highest diversity is Meta with 205 species followed by Antioquia with 170 species. The latter holds the highest number of endemics across the country. We anticipate that this effort will be the basis and inspiration to future research on Colombian odonatofauna, especially in underexplored areas, and will encourage conservation initiatives for freshwater ecosystems across the country.

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Section: Discussionmentioning

confidence: 99%

Commented checklist of the Odonata from Colombia

Bota-Sierra,

Álvarez-Álvarez,

Amaya

et al. 2024

IJO

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“…Our choice was dictated by two reasons. First, Odonata are among the most well‐known insects in terms of biology, ecology, and distribution, thanks to years of scientific research (Corbet, 1999) and amateur collections and observations that contributed to build large datasets on species detailed distribution (e.g., “OdonataCentral,” Abbott, 2006–2022). Second, various studies have suggested that, in addition to habitat preference, interspecific interactions play a fundamental role in shaping Odonata communities and metacommunities (Cerini et al, 2019, 2020; Renner et al, 2019; Suutari et al, 2004).…”

Section: Methodsmentioning

confidence: 99%

Functional traits predict species co‐occurrence patterns in a North American Odonata metacommunity

Cerini,

Vignoli,

Blust

et al. 2023

Ecosphere

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The probability of occurrence of a given species in a target locality and assemblage is conditioned not only by environmental/climatic variables but also by the presence of other species (i.e., species co‐occurrence). This framework, already complex in nature, becomes even more complicated if one considers the functional traits of species that, in turn, might influence the structure of metacommunities in various ways. Depending on the ecological and environmental setting, functional similarity (i.e., convergence in morphological and ecological traits) between species might either reduce their co‐occurrence due to high niche overlap driving negative interactions or promote it if the similar traits are associated with local habitat suitability. Similarly, functional divergence might either promote species co‐occurrence by limiting negative interactions through niche separation or reduce it through trait mediated environmental filtering. Therefore, discriminating between these alternative scenarios—predicting whether two species will tend to co‐occur or not based on their traits—is extremely challenging. Here, we develop a novel protocol to tackle the challenge, and we demonstrate its effectiveness by showing that ecological species traits can predict species co‐occurrence in a large dataset of North American Odonata. To this end, we first used the Hierarchical Modeling of Species Communities framework to quantify the pairwise species co‐occurrence after controlling for environmental and climatic factors. Then, we used machine learning to generate models which proved capable of predict accurately the observed co‐occurrence patterns from species functional traits. Our approach offers a generalizable analytical framework with the potential to clarify long‐standing ecological questions.

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Odonata collections and databases

Cited by 2 publications

References 2 publications

Commented checklist of the Odonata from Colombia

Commented checklist of the Odonata from Colombia

Functional traits predict species co‐occurrence patterns in a North American Odonata metacommunity

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