热带亚洲脊椎动物的信息传统上很少,特别是当涉及到居住在该地区茂密森林中的神秘物种时。由于土地利用变化和狩猎,全球脊椎动物数量正在下降,后者经常被称为“诽谤”。“在热带亚洲尤其如此,那里土地利用变化广泛,人类密度高。强有力的监测要求提供大量脊椎动物种群数据供科学和应用社区使用。相机陷阱已经成为一种有效的,非侵入性,广泛,以及在自然栖息地调查脊椎动物的常用方法。然而,相机衍生的数据集仍然分散在各种各样的来源中,包括发表的科学文献,灰色文学,和未发表的作品,这使得研究人员利用摄像机的全部潜力来实现生态学变得具有挑战性,养护,和管理。作为回应,我们整理并标准化了在热带亚洲进行的239项相机陷阱研究的观察结果。有278,260个独立记录的371个不同物种,由232种哺乳动物组成,132只鸟七只爬行动物。本数据文件中累积的总诱捕工作包括876,606个诱捕之夜,分布在印度尼西亚,新加坡,马来西亚,不丹,泰国,缅甸,柬埔寨,老挝,越南,尼泊尔,印度远东。该地区相对标准化的部署方法提供了一致的、可靠,和丰富的计数数据集相对于其他大规模的仅存在数据集,例如全球生物多样性信息设施(GBIF)或公民科学存储库(例如,iNaturalist),因此与ebird最相似。为了便于使用这些数据,我们还提供哺乳动物物种性状信息和13个环境协变量在相机调查质心周围的三个空间尺度上计算(在10-,20-,和30公里的缓冲区)。我们将更新数据集,以包括更广泛的温带亚洲覆盖范围,并在可用时添加更新的调查和协变量。该数据集为单物种生态或保护研究以及应用生态学提供了巨大的机会,群落生态学,和宏观生态学调查。这些数据完全可供公众使用和研究。请在使用数据时引用此数据文件。
Information on tropical Asian vertebrates has traditionally been sparse, particularly when it comes to cryptic species inhabiting the dense forests of the region.
Vertebrate populations are declining globally due to land-use change and hunting, the latter frequently referred as \"defaunation.\" This is especially true in tropical Asia where there is extensive land-use change and high human densities. Robust monitoring requires that large volumes of
vertebrate population data be made available for use by the scientific and applied communities. Camera traps have emerged as an effective, non-invasive, widespread, and common approach to surveying vertebrates in their natural habitats. However, camera-derived datasets remain scattered across a wide array of sources, including published scientific literature, gray literature, and unpublished works, making it challenging for researchers to harness the full potential of cameras for ecology, conservation, and management. In response, we collated and standardized observations from 239 camera trap studies conducted in tropical Asia. There were 278,260 independent records of 371 distinct species, comprising 232 mammals, 132 birds, and seven reptiles. The total trapping effort accumulated in this data paper consisted of 876,606 trap nights, distributed among Indonesia, Singapore, Malaysia, Bhutan, Thailand, Myanmar, Cambodia, Laos, Vietnam, Nepal, and far eastern India. The relatively standardized deployment methods in the region provide a consistent, reliable, and rich count data set relative to other large-scale pressence-only data sets, such as the Global Biodiversity Information Facility (GBIF) or citizen science repositories (e.g., iNaturalist), and is thus most similar to eBird. To facilitate the use of these data, we also provide mammalian species trait information and 13 environmental covariates calculated at three spatial scales around the camera survey centroids (within 10-, 20-, and 30-km buffers). We will update the dataset to include broader coverage of temperate Asia and add newer surveys and covariates as they become available. This dataset unlocks immense opportunities for single-species ecological or conservation studies as well as applied ecology, community ecology, and macroecology investigations. The data are fully available to the public for utilization and research. Please cite this data paper when utilizing the data.