Distribution of Sarcophagidae (Diptera, Oestroidea) in Brazilian biomes: richness, endemism, and sampling gaps

Sarcophagid experts have made several efforts to associate biodiversity data and comprehend where each species occurs, but comprehensive faunal inventories remain scarce. Our aim was to provide a list of distributional patterns and endemic species and allow assessment of the sampling effort conducted within Brazilian biomes. We produced a dataset of Brazilian sarcophagids and overlaid with a biome map, to investigate distributional patterns, endemism and to build species accumulation curves. Additionally, we calculated nonparametric asymptotic species richness estimators and extrapolation of species diversity (Hill numbers). Our dataset comprised 288 sarcophagid species, which 21 were identified as endemic. The biomes with the highest species richness were the Atlantic Rainforest and the Amazon Forest, and no biome exhibited a stabilized asymptotic curve. This is the first proposal of listing Sarcophagidae species by biomes and essential to understand the spatial distribution of this family in Brazil. We present maps and richness estimators that allow identifying gaps and guiding survey planning.

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Publication Details

Journal
Studies on Neotropical Fauna and Environment
Published
2024-08-12
DOI
https://doi.org/10.1080/01650521.2024.2380155
Citations
1
Primary Topic
Forensic Entomology and Diptera Studies
Type
article
Field-Weighted Citation Impact
0.54

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article

Distribution of Sarcophagidae (Diptera, Oestroidea) in Brazilian biomes: richness, endemism, and sampling gaps

Márcia Souto Couri, Marina Morim Gomes, Bruno Moreira de Carvalho
1 citations
Studies on Neotropical Fauna and Environment
Forensic Entomology and Diptera Studies
0.54
article

Distribution of Sarcophagidae (Diptera, Oestroidea) in Brazilian biomes: richness, endemism, and sampling gaps

Márcia Souto Couri, Marina Morim Gomes, Bruno Moreira de Carvalho
article en
1 citations

Abstract

Sarcophagid experts have made several efforts to associate biodiversity data and comprehend where each species occurs, but comprehensive faunal inventories remain scarce. Our aim was to provide a list of distributional patterns and endemic species and allow assessment of the sampling effort conducted within Brazilian biomes. We produced a dataset of Brazilian sarcophagids and overlaid with a biome map, to investigate distributional patterns, endemism and to build species accumulation curves. Additionally, we calculated nonparametric asymptotic species richness estimators and extrapolation of species diversity (Hill numbers). Our dataset comprised 288 sarcophagid species, which 21 were identified as endemic. The biomes with the highest species richness were the Atlantic Rainforest and the Amazon Forest, and no biome exhibited a stabilized asymptotic curve. This is the first proposal of listing Sarcophagidae species by biomes and essential to understand the spatial distribution of this family in Brazil. We present maps and richness estimators that allow identifying gaps and guiding survey planning.

Studies on Neotropical Fauna and EnvironmentVol. 60(1)
Universidade Federal do Rio de Janeiro (BR), Barcelona Supercomputing Center (ES), Universitat Politècnica de Catalunya (ES)
Conselho Nacional de Desenvolvimento Científico e Tecnológico, Universidade de São Paulo, Universidade Federal do Rio de Janeiro, Universidade Federal Fluminense
Openalex Percentile: Top 30%
Forensic Entomology and Diptera Studies
0.54
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