Balakirev Alexander E
A.N.Severtsov's Institute of Ecology and Evolution of Russian Academy of Sciences, Moscow, Russia A.N.Severtsov's Institute of Ecology and Evolution of Russian Academy of Sciences Moscow Russia.
Joint Russian-Vietnamese Tropical Research and Test Center, Hanoi, Vietnam Joint Russian-Vietnamese Tropical Research and Test Center Hanoi Vietnam.
Biodivers Data J. 2022 Nov 23;10:e96062. doi: 10.3897/BDJ.10.e96062. eCollection 2022.
Open access to occurrence records in a standardised format has strong potential applications for many kinds of ecological research and bioresources management, including the assessment of invasion risks, formulation of nature protection, biomedical and management plans in the context of global climate and land-use changes both in the short and long perspective. The accumulation and aggregation of data on the occurrence records of small mammals are relevant for the study of biogeography and for ecological surveys including construction of the spatial distribution and ecological niche modelling of species ' distributions in the context of global climate change. The author has created a dataset of 2408 rodents and tree shrews occurrence records from Vietnam, collected from November 2007 to May 2022. A number of zoologist colleagues also provided genetic samples. A considerable part of these data has been published previously in a number of papers; however, most of these data have yet to be presented. These records cover a significant part of the range of many rodent species in Southeast Asia and provide new data on their distribution. The data were obtained during a number of different field expeditions, where some animals were caught by the author and some were provided by other researchers, resulting in different accuracy levels of geographic coordinates and altitude estimates may range from 10 to 1000 metres in area and from 1 to 100 metres for elevation. A number of samples were genetically examined to avoid inconsistencies with the taxonomic identification. With the help of colleagues, the author created a set of georeferenced occurrence records, adapted to the controlled vocabulary of Darwin Core format datasets, removed duplicates and standardised the format of records using commonly-used unified data structure. This paper presents the resulting dataset of rodents (mostly of Muridae and Sciuridae) along with other small terrestrial species (Scandentia Tupaidae) occurrence records in the territory of Vietnam and Laos.
Much of the distribution data are currently available as open source GBIF databases and potentially may be combined into a united framework for better data resolution. The dataset presented here combines occurrence records of many species over a significant part of their recent natural range, in Vietnam and Laos. The author presents a validated and comprehensive dataset of rodents' occurrence records, based on genetic samples collection compiled during 15 years working in Vietnam (from 2007 to date). Prior to this project, a considerable part of the information about Vietnamese rodents was not available to a wide range of researchers to use these spatial data for analyses by modern methods, for example, for analysis based on geographic information systems (GIS technologies). This dataset now is available for any researchers who use the data format prepared in accordance with Darwin Core standards.For different countries of Southeast Asia and beyond, there are a lot of additional occurrence records for a number of species listed here which may be combined, but a considerable part of them is still scattered over a number of separate literary sources, while another is still presented as maps, field notes and huge amount of museum zoological collections records. The final set was created by a combination of species occurrence records and uniform data structure with verification of the samples' geographic coordinates. Most samples were genetically or/and morphologically verified for correct taxonomical identification, because the most part of the samples presented was carefully investigated by the author himself, both for morphology and genetic attribution. Therefore, the dataset expands the available information on the spatial and temporal distribution of a number of small mammals' species in Southeast Asia. All original notes and geographical localities were carefully checked and any duplicate and erroneous records have been removed from the final dataset.To the date of publication of these data, the GBIF database https://www.gbif.org contained 1408 rodent occurrence records from Vietnam (Fig. 1) along with 240 Scandentia records (Fig. 2), primarily the data on museum materials, including four large collections, such as the Field Museum of Natural History (Zoology) Mammal Collection (646 samples), Australian National Wildlife Collection provider for OZCAM (537), MVZ Mammal Collection Arctos (109), Museum of Comparative Zoology, Harvard University (69) and six other minor collections comprising single specimens.Actually, as for the small terrestrial mammals, Vietnam remains one of the least representative regions in Southeast Asia. Here, we present new data containing 2408 occurrence records, including 2237 rodent records, along with 171 Scandentia ones (Fig. 3). Thus, the data significantly expand our knowledge about actual ranges of a number of species, including rare and endangered ones.
以标准化格式开放获取物种出现记录,在多种生态研究和生物资源管理中具有巨大的潜在应用价值,包括评估入侵风险、制定自然保护、生物医学以及在短期和长期视角下应对全球气候和土地利用变化的管理计划。小型哺乳动物出现记录的数据积累和汇总,对于生物地理学研究以及生态调查具有重要意义,例如在全球气候变化背景下构建物种分布的空间分布和生态位模型。作者创建了一个包含2408条来自越南的啮齿动物和树鼩出现记录的数据集,这些记录收集于2007年11月至2022年5月。一些动物学家同事还提供了基因样本。这些数据中的相当一部分此前已在多篇论文中发表;然而,大部分数据尚未呈现。这些记录涵盖了东南亚许多啮齿动物物种分布范围的很大一部分,并提供了关于它们分布的新数据。这些数据是在多次不同的野外考察中获得的,其中一些动物是作者捕获的,一些是其他研究人员提供的,这导致地理坐标和海拔估计的精度水平有所不同,面积精度范围可能在10到1000米之间,海拔精度范围在1到100米之间。对一些样本进行了基因检测,以避免分类鉴定出现不一致。在同事的帮助下,作者创建了一组地理参考出现记录,使其适应达尔文核心格式数据集的受控词汇表,去除了重复记录,并使用常用的统一数据结构对记录格式进行了标准化。本文展示了越南和老挝境内啮齿动物(主要是鼠科和松鼠科)以及其他小型陆生物种(树鼩目树鼩科)出现记录的最终数据集。
目前,许多分布数据可作为开源GBIF数据库获取,并且有可能被整合到一个统一框架中以提高数据分辨率。这里展示的数据集整合了越南和老挝境内许多物种在其近期自然分布范围很大一部分区域的出现记录。作者基于在越南15年(从2007年至今)工作期间收集的基因样本,展示了一个经过验证且全面的啮齿动物出现记录数据集。在这个项目之前,关于越南啮齿动物的大量信息无法供广大研究人员使用这些空间数据通过现代方法进行分析,例如基于地理信息系统(GIS技术)的分析。现在这个数据集可供任何使用符合达尔文核心标准准备的数据格式的研究人员使用。对于东南亚及其他地区的不同国家,这里列出的许多物种还有大量额外的出现记录可以整合,但其中相当一部分仍分散在许多单独的文献来源中,而另一部分仍以地图、野外记录和大量博物馆动物学收藏记录的形式呈现。最终数据集是通过结合物种出现记录和统一数据结构,并对样本的地理坐标进行验证而创建的。大多数样本经过了基因或/和形态学验证以确保正确的分类鉴定,因为所呈现的大部分样本都经过了作者本人仔细的形态学和基因归属研究。因此,该数据集扩展了关于东南亚一些小型哺乳动物物种空间和时间分布的可用信息。所有原始记录和地理地点都经过了仔细核对,并且任何重复和错误记录都已从最终数据集中删除。截至这些数据发表之日,GBIF数据库https://www.gbif.org包含来自越南的1408条啮齿动物出现记录(图1)以及240条树鼩记录(图2),主要是关于博物馆标本的数据,包括四个大型收藏,如菲尔德自然历史博物馆(动物学)哺乳动物收藏(646个样本)、澳大利亚国家野生动物收藏(为OZCAM提供537个样本)、MVZ哺乳动物收藏Arctos(109个样本)、哈佛大学比较动物学博物馆(69个样本)以及其他六个包含单个标本的小型收藏。实际上就小型陆生哺乳动物而言,越南仍然是东南亚代表性最差的地区之一。在这里,我们展示了包含2408条出现记录的新数据,其中包括2237条啮齿动物记录以及171条树鼩记录(图3)。因此,这些数据显著扩展了我们对许多物种实际分布范围的认识,包括珍稀和濒危物种。