<b>A Morphological traits dataset of Heteroptera sampled in biodiversity priority areas of southwest China</b>

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.See detailed descriptions here: Gao, S., Yu, W., Tian, T., Lu, Z., Zhang, X., Li, Q. &amp; Chen, Y. A morphological traits dataset of Heteroptera sampled in biodiversity priority areas of Southwest China. <i>Scientific Data</i> <b>11,</b> 694 (2024). https://doi.org/10.1038/s41597-024-03556-x功能性状（functional traits）可揭示物种对环境的适应策略，与群落构建、生态系统功能及生物多样性的潜在维持机制密切相关。然而，绝大多数生物类群尚未建立性状数据库，对于物种数量极其庞大的昆虫类群而言尤为如此。本研究于2019年采用扫网法与灯诱法，在中国西南地区"西双版纳优先保护区域"采集半翅目（Heteroptera）昆虫共307种，并对其形态性状进行了测定。本研究构建了涵盖该307种半翅目昆虫的数据集，包含34项形态测量指标与17项形态性状。该数据集收录了物种性别、个体多度，以及各性状的平均值、最大值与最小值信息。本数据集有助于深化对半翅目昆虫功能性状与生态关联的认知，同时为拓展多元研究主题提供了契机。详细信息参见：Gao, S., Yu, W., Tian, T., Lu, Z., Zhang, X., Li, Q. & Chen, Y. 中国西南生物多样性优先区域半翅目昆虫形态性状数据集[J]. 《科学数据（Scientific Data）》, 2024, 11: 694. https://doi.org/10.1038/s41597-024-03556-x