Two new species of the genus Laena Dejean (Coleoptera: Tenebrionidae: Lagriinae) from southern China

Two new species of the genus Laena Dejean, 1821 from southern China were described and illustrated: Laena nana sp. nov. from Nanling Nature Reserve of Guangdong and L. dayaoshanensis sp. nov. from Dayaoshan Nature Reserve of Guangxi. A key to Laena species from Guangdong and Guangxi, China, is given.

Authors

Institutions

Publication Details

Journal
Zootaxa
Published
2024-10-22
DOI
https://doi.org/10.11646/zootaxa.5528.1.38
Citations
1
Primary Topic
Coleoptera Taxonomy and Distribution
Type
article
Field-Weighted Citation Impact
1.03

Funders

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

Two new species of the genus Laena Dejean (Coleoptera: Tenebrionidae: Lagriinae) from southern China

Guo‐Dong Ren, Zhonghua Wei
1 citations
Zootaxa
Coleoptera Taxonomy and Distribution
1.03
article

Two new species of the genus Laena Dejean (Coleoptera: Tenebrionidae: Lagriinae) from southern China

Guo‐Dong Ren, Zhonghua Wei
article en
1 citations

Abstract

Two new species of the genus Laena Dejean, 1821 from southern China were described and illustrated: Laena nana sp. nov. from Nanling Nature Reserve of Guangdong and L. dayaoshanensis sp. nov. from Dayaoshan Nature Reserve of Guangxi. A key to Laena species from Guangdong and Guangxi, China, is given.

ZootaxaVol. 5528(1)
China West Normal University (CN), Hebei University (CN)
China West Normal University, Russian Academy of Sciences
Life in Land
Openalex Percentile: Top 17%
Coleoptera Taxonomy and Distribution
1.03
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.