five

Reneerkens et al 2016 Ecol&Evol -Arthropod size

收藏
DataONE2016-09-25 更新2024-06-26 收录
下载链接:
https://search.dataone.org/view/null
下载链接
链接失效反馈
官方服务:
资源简介:
Table of sizes (and biomass) of individual arthropods collected in Zackenberg, summer 2007. Each of the 6 plots (ART5, ART 7, INS1, INS2, INS3 and INS4) consisted of a line of 10 yellow pitfall traps at ca. 1 meter distance from each other. Occasionally, arthropods were identified to the order and, if possible, family level. Identified orders were Acari (ACAR), ARAN, Coleoptera (COLE), Diptera (DIPT), Hymenoptera (HYME), and Lepidoptera (LEPI). Identified families, within the before mentioned orders, were Apidae, genus Bombus (BOMB), Calliphoridae (CALL), Chironomidae (CHIR), Culicidae (CULI), Gnaphosidae (GNAP), Hemiptera (HEMI), Heteroptera (HETE), Linyphiidae (LINY), Lycosidae (LYCO), Muscidae (MUSC), Noctuidae (NOCT), Nymphalidae (NYMP), Parasitica (PARA), Phoridae (PHOR), Pieridae (PIER), Sciaridae (SCIA), Syrphidae (SYRP), Thomisidae (THOM), Tipulidae (TIPU) and Trichoceridae (TRIC). LARV stands for larvae of the specified order or families. Further information is found in the appendix S1 of the publication.

2007年夏季于Zackenberg地区采集的单个节肢动物体型(及生物量)统计表。本次研究共设置6个样地(ART5、ART7、INS1、INS2、INS3及INS4),每个样地均沿直线布设10个黄色诱虫陷阱,陷阱间距约为1米。部分采集到的节肢动物可鉴定至目级阶元,若条件允许则进一步鉴定至科级阶元。已完成鉴定的目级类群包括:蜱螨目(Acari,ACAR)、蜘蛛目(ARAN)、鞘翅目(Coleoptera,COLE)、双翅目(Diptera,DIPT)、膜翅目(Hymenoptera,HYME)以及鳞翅目(Lepidoptera,LEPI)。上述目级类群中已鉴定的科级类群包括:蜜蜂科(Apidae)、熊蜂属(Bombus,BOMB)、丽蝇科(Calliphoridae,CALL)、摇蚊科(Chironomidae,CHIR)、蚊科(Culicidae,CULI)、平腹蛛科(Gnaphosidae,GNAP)、半翅目(Hemiptera,HEMI)、异翅亚目(Heteroptera,HETE)、皿蛛科(Linyphiidae,LINY)、狼蛛科(Lycosidae,LYCO)、蝇科(Muscidae,MUSC)、夜蛾科(Noctuidae,NOCT)、蛱蝶科(Nymphalidae,NYMP)、寄生蜂类(Parasitica,PARA)、蚤蝇科(Phoridae,PHOR)、粉蝶科(Pieridae,PIER)、眼蕈蚊科(Sciaridae,SCIA)、食蚜蝇科(Syrphidae,SYRP)、蟹蛛科(Thomisidae,THOM)、大蚊科(Tipulidae,TIPU)及毛蠓科(Trichoceridae,TRIC)。缩写LARV代表对应目级或科级类群的幼虫。更多详细信息可查阅该研究论文的附录S1。
创建时间:
2016-09-25
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作