A comprehensive trait dataset for Terrestrial Arthropods of the Azores: insights for conservation, island ecology and species invasion

We present a standardised functional trait database for Azorean arthropods, building on 25 years of research on 602 species and subspecies across seven classes and 27 orders. The dataset includes endemic, native non-endemic and exotic species, with traits selected for their relevance to disturbance responses (e.g. body size, dispersal, verticality) and ecological interactions (e.g. trophic level, feeding behaviour). By synthesising these data, we aim to support predictive modelling of biodiversity responses to environmental change and provide information for conservation strategies. This resource provides a foundation for global comparisons and advances in trait-based ecology in island systems.

Authors

Institutions

Publication Details

Journal
Biodiversity Data Journal
Published
2026-01-12
DOI
https://doi.org/10.3897/bdj.14.e173221
Citations
1
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
33.49

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A comprehensive trait dataset for Terrestrial Arthropods of the Azores: insights for conservation, island ecology and species invasion

Ricardo Costa, Kostas A. Triantis, Sophie Wallon, Nuria Macías‐Hernández et al.
1 citations
Biodiversity Data Journal
Species Distribution and Climate Change
33.49
article

A comprehensive trait dataset for Terrestrial Arthropods of the Azores: insights for conservation, island ecology and species invasion

Ricardo Costa, Kostas A. Triantis, Sophie Wallon, Nuria Macías‐Hernández, Sébastien Lhoumeau, Pedro Cardoso, Sofia Terzopoulou, Guilherme Oyarzabal, François Rigal, Paulo Borges, Isabel Amorim
article en
1 citations

Abstract

We present a standardised functional trait database for Azorean arthropods, building on 25 years of research on 602 species and subspecies across seven classes and 27 orders. The dataset includes endemic, native non-endemic and exotic species, with traits selected for their relevance to disturbance responses (e.g. body size, dispersal, verticality) and ecological interactions (e.g. trophic level, feeding behaviour). By synthesising these data, we aim to support predictive modelling of biodiversity responses to environmental change and provide information for conservation strategies. This resource provides a foundation for global comparisons and advances in trait-based ecology in island systems.

Biodiversity Data JournalVol. 14
Universidade dos Açores (PT), University of Helsinki (FI), Université de Pau et des Pays de l'Adour (FR), Universidad de La Laguna (ES), National and Kapodistrian University of Athens (GR), Sustainability Institute (ZA), Finnish Museum of Natural History (FI), Hospital de Santo Espirito de Angra do Heroísmo (PT)
Horizon 2020 Framework Programme, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 2%
Species Distribution and Climate Change
33.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.