Yim Marx W-H, Ong Xin Rui, Chiew Li Yuen, Slade Eleanor M
Tropical Ecology & Entomology Lab, Asian School of the Environment, Nanyang Technological University, Singapore, Singapore Tropical Ecology & Entomology Lab, Asian School of the Environment, Nanyang Technological University Singapore Singapore.
Biodivers Data J. 2024 Sep 12;12:e126697. doi: 10.3897/BDJ.12.e126697. eCollection 2024.
Dung beetles play key roles in terrestrial ecosystems, contributing to many important ecosystem process and functions, such as nutrient recycling, parasite control and seed dispersal. Due to their tight associations with mammals and their responses to environmental change, they are also frequently used as environmental and biological indicators. Despite their importance, knowledge about dung beetles in Southeast Asia is limited. To address this information gap, we established a databasing project - "Mobilising data on ecologically important insects in Malaysia and Singapore" - funded by the Global Biodiversity Information Facility (GBIF). As part of this project, we compiled two extensive datasets - a sampling-event and occurrence dataset and a taxonomic checklist - for the dung beetles of Sabah, Bornean Malaysia. The sampling-event dataset documents 2,627 unique sampling events and 21,348 dung beetle occurrence records for Sabah. The taxonomic checklist includes 156 confirmed dung beetle species and 36 synonyms, totalling 192 records. These datasets have been made open access through the GBIF portal, which we hope will enhance the understanding of dung beetle taxonomy and their distributions in Southeast Asia.
All data presented in this paper comprises of available information pertaining to the dung beetles of Sabah.
蜣螂在陆地生态系统中发挥着关键作用,对许多重要的生态系统过程和功能有贡献,如养分循环、寄生虫控制和种子传播。由于它们与哺乳动物的紧密联系以及对环境变化的反应,它们也经常被用作环境和生物指标。尽管它们很重要,但关于东南亚蜣螂的知识却很有限。为了填补这一信息空白,我们建立了一个数据库项目——“收集马来西亚和新加坡具有生态重要性的昆虫数据”——由全球生物多样性信息机构(GBIF)资助。作为该项目的一部分,我们为马来西亚婆罗洲沙巴的蜣螂编制了两个广泛的数据集——一个采样事件和出现数据集以及一个分类学清单。采样事件数据集记录了沙巴的2627个独特采样事件和21348条蜣螂出现记录。分类学清单包括156种已确认的蜣螂物种和36个同义词,共计192条记录。这些数据集已通过GBIF门户开放获取,我们希望这将增进对蜣螂分类学及其在东南亚分布的了解。
本文呈现的所有数据均包含与沙巴蜣螂相关的可用信息。