Department of Mathematics, Institute of Chemical Technology, Mumbai, India.
Agricultural and Ecological Research Unit, Indian Statistical Institute, Giridih, India.
Ecology. 2022 Nov;103(11):e3794. doi: 10.1002/ecy.3794. Epub 2022 Jul 28.
India has numerous invasive alien plant species (IAPSs), which seriously impact biodiversity, ecosystem services, and economic development. The availability of reliable occurrence records of IAPSs is of great importance for their successful management, prediction of distribution across time and space, and other research and development efforts. Global databases of occurrence data, like the Global Biodiversity Information Facility (GBIF), are often not exhaustive, especially for India, and poorly represent the actual distribution of IAPSs in the country. Our objective in creating this data set was threefold: (1) to compile occurrence data for the invasive and naturalized alien plant species of India, (2) to collect spatial and temporal information associated with occurrence records, and (3) to share the data in an accessible format so every record is traceable to its sources and allow users to submit data to increase the resolution of the data set. To achieve these objectives, we extracted data from 3137 literature records and 357 herbarium sheets. For each occurrence record, we curated information for 20 variables, which were arranged in a table with the Darwin Core (DwC) terms as column names. All data were subjected to technical validation before being included in the database. A total of 12,347 occurrence records were obtained for 362 species (195 invasive aliens and 167 naturalized aliens). The number of collected occurrence records was much higher for the invasive aliens (73.7%) than for the naturalized alien species (26.3%). Our data set will supplement the GBIF data by 60.39%, and occurrence records will be added for 64 invasive and naturalized alien plant species. The data set, as a part of the larger database of the Indian Alien Flora Information (ILORA) database, is made available without any restrictions on use as long as this data paper is properly cited. We have also made provisions for users to submit occurrence-related data following a data standard. The users are encouraged to cite the original reference when using a specific data record. The data set is expected to assist a wide range of stakeholders involved in India's scientific research, policy formulation, and decision-making related to IAPSs.
印度拥有众多外来入侵植物物种（IAPSs），这些物种严重影响生物多样性、生态系统服务和经济发展。可靠的 IAPS 发生记录对于成功管理、预测其在时间和空间上的分布以及其他研究和开发工作非常重要。全球物种发生数据数据库，如全球生物多样性信息设施（GBIF），往往并不详尽，特别是对于印度而言，并且对该国 IAPSs 的实际分布情况的代表性很差。我们创建这个数据集的目标有三个：（1）编制印度外来入侵和归化植物物种的发生数据，（2）收集与发生记录相关的时空信息，（3）以可访问的格式共享数据，以便每个记录都可以追溯到其来源，并允许用户提交数据以提高数据集的分辨率。为了实现这些目标，我们从 3137 篇文献记录和 357 份植物标本中提取了数据。对于每个发生记录，我们整理了 20 个变量的信息，这些信息被排列在一个表格中，其中列名是达尔文核心（DwC）术语。在将所有数据纳入数据库之前，都要对其进行技术验证。总共获得了 362 种物种（195 种入侵外来种和 167 种归化外来种）的 12347 个发生记录。收集的发生记录数量对于入侵外来种（73.7%）来说要远高于归化外来种（26.3%）。我们的数据集将通过 GBIF 数据增加 60.39%，并将为 64 种入侵和归化外来植物物种添加发生记录。该数据集作为印度外来植物信息（ILORA）数据库的较大数据库的一部分，在适当引用本数据论文的情况下，可无限制地免费使用。我们还为用户提供了按照数据标准提交与发生相关的数据的规定。鼓励用户在使用特定数据记录时引用原始参考文献。该数据集有望为涉及印度 IAPSs 的科学研究、政策制定和决策的广泛利益相关者提供帮助。
