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Occurrence data on beetles (Coleoptera) collected in Dutch coastal dunes between 1953 and 1960.
Gerrits, G M; Hemerik, L.
Afiliação
  • Gerrits GM; Netherlands Institute of Ecology (NIOO-KNAW), Department of Terrestrial Ecology, Wageningen, Netherlands Netherlands Institute of Ecology (NIOO-KNAW), Department of Terrestrial Ecology Wageningen Netherlands.
  • Hemerik L; Wageningen University and Research, Biometris Mathematical and Statistical Methods Group, Wageningen, Netherlands Wageningen University and Research, Biometris Mathematical and Statistical Methods Group Wageningen Netherlands.
Biodivers Data J ; 10: e90103, 2022.
Article em En | MEDLINE | ID: mdl-36761665
ABSTRACT

Background:

Historical field data in ecology are exceedingly rare and, therefore, their preservation and publication is of high importance, especially as these data can function as a point of reference for present day biodiversity research. Therefore, we digitised a 65-year-old dataset on ground-dwelling beetles caught with pitfall traps in the coastal dune area "Meijendel", situated in the western part of the Netherlands. New information The data presented in this paper has never been published in a systematic way before and has had a long journey from moment of capture to the current digitisation. From 1953 through to 1960, 100 pitfalls were active and catches were collected once a week. A total of 36,400 samples were aggregated with approximately 90,000 occurrences recorded. All captures were identified up to species level and counted and sex determined where possible. The database has been registered in the Global Biodiversity Information Facility (GBIF) and can be found under https//www.gbif.org/dataset/9d02b439-aa5c-4c22-b1d9-d27fbde9e3ee.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Biodivers Data J Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Biodivers Data J Ano de publicação: 2022 Tipo de documento: Article