Re-description of Sinopodacurva Zhong, Jäger, Chen & Liu, 2019 (Araneae, Sparassidae), with a first description of the female.

IF 1 4区环境科学与生态学 Q3 BIODIVERSITY CONSERVATION

Biodiversity Data Journal Pub Date : 2025-03-25 eCollection Date: 2025-01-01 DOI:10.3897/BDJ.13.e152100

Lijun Gong, Yang Zhong

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引用次数: 0

Abstract

Background: Sinopoda Jäger, 1999 is a relatively large spider genus that currently comprises 141 species distributed worldwide. However, the genus remains inadequately studied because nearly half of the species are known from a single sex or juvenile specimens. Sinopodacurva Zhong, Jäger, Chen & Liu, 2019 was described, based on two male specimens from Damingshan National Nature Reserve, Guangxi Zhuang Autonomous Region, China and no additional specimens have been recorded since.

New information: Recently, new materials of huntsman spiders have been collected from Mt. Wuyishan, including specimens of both sexes. Several males were identified as S.curva, based on morphological comparison with the holotype. Based on morphological characters and DNA barcodes, we confidently matched the females and males as S.curva. Herein, S.curva is re-described, based on these new materials and the female is described and illustrated for the first time.

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来源期刊

Biodiversity Data Journal Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics

CiteScore

2.20

自引率

7.70%

发文量

283

审稿时长

6 weeks

期刊介绍： Biodiversity Data Journal (BDJ) is a community peer-reviewed, open-access, comprehensive online platform, designed to accelerate publishing, dissemination and sharing of biodiversity-related data of any kind. All structural elements of the articles – text, morphological descriptions, occurrences, data tables, etc. – will be treated and stored as DATA, in accordance with the Data Publishing Policies and Guidelines of Pensoft Publishers. The journal will publish papers in biodiversity science containing taxonomic, floristic/faunistic, morphological, genomic, phylogenetic, ecological or environmental data on any taxon of any geological age from any part of the world with no lower or upper limit to manuscript size.