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A morphological traits dataset of Heteroptera sampled in biodiversity priority areas of Southwest China.
Gao, Shutong; Yu, Wenbo; Tian, Ting; Lu, Zhixing; Zhang, Xiang; Li, Qiao; Chen, Youqing.
Affiliation
  • Gao S; Institute of Highland Forest Science, Chinese Academy of Forestry, Yunan Kunming, 650224, China.
  • Yu W; Key Laboratory of Breeding and Utilization of Resource Insects of National Forestry and Grassland Administration, Yunnan Kunming, 650224, China.
  • Tian T; Nanjing Forestry University, Jiangsu Nanjing, 210037, China.
  • Lu Z; Southwest Forestry University, Yunan Kunming, 650224, China.
  • Zhang X; Institute of Highland Forest Science, Chinese Academy of Forestry, Yunan Kunming, 650224, China.
  • Li Q; Key Laboratory of Breeding and Utilization of Resource Insects of National Forestry and Grassland Administration, Yunnan Kunming, 650224, China.
  • Chen Y; Institute of Highland Forest Science, Chinese Academy of Forestry, Yunan Kunming, 650224, China.
Sci Data ; 11(1): 694, 2024 Jun 26.
Article de En | MEDLINE | ID: mdl-38926452
ABSTRACT
Functional traits reveal the adaptive strategies of species to their environment, and are relevant to the formation of communities, the function of ecosystems, and the mechanisms underlying biodiversity. However, trait databases have not been established for most biological taxa, especially for insects, which encompass a vast number of species. This study measured the morphological traits of 307 species of Heteroptera insects collected in 2019 from the "Xishuangbanna Priority Conservation Area" in Southwest China using sweep netting and light trapping methods. This study provides a dataset for 307 Heteroptera species, comprising 34 morphometric measurements and 17 morphological traits. The dataset contains information on species sex, abundance, and the average, maximum, and minimum values of traits. This dataset facilitates an enhanced understanding of the functional traits and ecological associations of Heteroptera insects and offers opportunities for exploring a more diverse range of research topics.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Heteroptera / Biodiversité Limites: Animals Pays/Région comme sujet: Asia Langue: En Journal: Sci Data Année: 2024 Type de document: Article Pays d'affiliation: Chine Pays de publication: Royaume-Uni

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Heteroptera / Biodiversité Limites: Animals Pays/Région comme sujet: Asia Langue: En Journal: Sci Data Année: 2024 Type de document: Article Pays d'affiliation: Chine Pays de publication: Royaume-Uni