Disentangling the veil line for Brazilian biodiversity: An overview from two long-term research programs reveals huge gaps in ecological data reporting.
Biodiversity monitoring
Brazilian biodiversity
Data-deficiency in Brazil
Research gaps
Tropical forests
Wallacean shortfall
Journal
The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500
Informations de publication
Date de publication:
23 Jul 2024
23 Jul 2024
Historique:
received:
09
04
2024
revised:
15
07
2024
accepted:
17
07
2024
medline:
26
7
2024
pubmed:
26
7
2024
entrez:
25
7
2024
Statut:
aheadofprint
Résumé
The lack of synthesized information regarding biodiversity is a major problem among researchers, leading to a pervasive cycle where ecologists make field campaigns to collect information that already exists and yet has not been made available for a broader audience. This problem leads to long-lasting effects in public policies such as spending money multiple times to conduct similar studies in the same area. We aim to identify this knowledge gap by synthesizing information available regarding two Brazilian long-term biodiversity programs and the metadata generated by them. Using a unique dataset containing 1904 metadata, we identified patterns of metadata distribution and intensity of research conducted in Brazil, as well as where we should concentrate research efforts in the next decades. We found that the majority of metadata were about vertebrates, followed by plants, invertebrates, and fungi. Caating was the biome with least metadata, and that there's still a lack of information regarding all biomes in Brazil, with none of them being sufficiently sampled. We hope that these results will have implications for broader conservation and management guiding, as well as to funding allocation programs.
Identifiants
pubmed: 39053522
pii: S0048-9697(24)05029-0
doi: 10.1016/j.scitotenv.2024.174880
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
174880Informations de copyright
Copyright © 2024. Published by Elsevier B.V.