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The BALA project: A pioneering monitoring of Azorean forest invertebrates over two decades (1999–2022)

Authors :
Gabor Pozsgai
Sébastien Lhoumeau
Isabel R. Amorim
Mário Boieiro
Pedro Cardoso
Ricardo Costa
Maria Teresa Ferreira
Abrão Leite
Jagoba Malumbres-Olarte
Guilherme Oyarzabal
François Rigal
Alejandra Ros-Prieto
Ana M. C. Santos
Rosalina Gabriel
Paulo A. V. Borges
Source :
Scientific Data, Vol 11, Iss 1, Pp 1-9 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

Abstract Globally, there is a concerning decline in many insect populations, and this trend likely extends to all arthropods, potentially impacting unique island biota. Native non-endemic and endemic species on islands are under threat due to habitat destruction, with the introduction of exotic, and potentially invasive, species, further contributing to this decline. While long-term studies of plants and vertebrate fauna are available, long-term arthropod datasets are limited, hindering comparisons with better-studied taxa. The Biodiversity of Arthropods of the Laurisilva of the Azores (BALA) project has allowed gathering comprehensive data since 1997 in the Azorean Islands (Portugal), using standardised sampling methods across islands. The dataset includes arthropod counts from epigean (pitfall traps) and canopy-dwelling (beating samples) communities, enriched with species information, biogeographic origins, and IUCN categories. Metadata associated with the sample protocol and events, like sample identifier, archive number, sampled tree species, and trap type are also recorded. The database is available in multiple formats, including Darwin Core, which facilitates the ecological analysis of pressing environmental concerns, such as arthropod population declines and biological invasions.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20524463
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
edsdoj.360d885850d24810ad4b0ab80bf44f91
Document Type :
article
Full Text :
https://doi.org/10.1038/s41597-024-03174-7