Suppr超能文献

卡卢加州(俄罗斯欧洲部分)保护区和城市地区阔叶林的步甲科(鞘翅目)群落。

Communities of ground beetles (Carabidae, Coleoptera) in broad-leaved forests of protected and urban areas of the Kaluga Oblast (European Russia).

作者信息

Shashkov Maxim, Alexeev Sergei, Ivanova Natalya

机构信息

Institute of Physicochemical and Biological Problems in Soil Science of Russian Academy of Sciences, Pushchino, Russia Institute of Physicochemical and Biological Problems in Soil Science of Russian Academy of Sciences Pushchino Russia.

Institute of Mathematical Problems of Biology RAS - the Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, Pushchino, Russia Institute of Mathematical Problems of Biology RAS - the Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences Pushchino Russia.

出版信息

Biodivers Data J. 2020 Nov 26;8:e58688. doi: 10.3897/BDJ.8.e58688. eCollection 2020.

Abstract

BACKGROUND

This sampling-event dataset provides primary data about species diversity, population and seasonal activity of ground beetles (Carabidae, Coleoptera). The study was carried out in broad-leaved forests of protected ("Kaluzhskiye Zaseki" Nature Reserve and Ugra National Park) and urban areas (the Kaluga City) of the Kaluga Oblast. Carabids were collected from April to October during 1995-1998 by pitfall traps. In total, 108,000 adult individuals of the Carabidae family were sampled; 105 species from 38 genera were counted.

NEW INFORMATION

This dataset is the first sampling-event dataset about the Carabidae family for the European part of Russia. It provides biodiversity data for new territory (Kaluga Oblast) and contributes to filling gaps in the global biodiversity distribution of the Carabidae family. Part of the data was collected from unique old-growth broad-leaved forests.

摘要

背景

本采样事件数据集提供了关于步甲科(鞘翅目)物种多样性、种群数量和季节性活动的原始数据。该研究在卡卢加州的受保护阔叶林(“卡卢日斯基扎塞基”自然保护区和乌格拉国家公园)以及城市地区(卡卢加市)开展。1995年至1998年期间,通过陷阱诱捕法在4月至10月收集步甲。总共采集了108000只步甲科成年个体;统计了38个属的105个物种。

新信息

该数据集是俄罗斯欧洲部分首个关于步甲科的采样事件数据集。它为新区域(卡卢加州)提供了生物多样性数据,并有助于填补步甲科全球生物多样性分布的空白。部分数据采集自独特的原始阔叶林。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1591/7714771/2bdd774cb1da/bdj-08-e58688-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验