We are a team studying biodiversity informatics, aiming to solve scientific problems in the field of biology through computer technology, network technology, big data technology, and artificial intelligence technology, and provide free data, software tools, and services to biologists.

​By collecting and organizing a large amount of basic data, occurrence records, and environmental data and integrating species distribution models and mapping techniques, a workflow to automatically predict the potential distributions of Chinese plants was established, thus providing innovative prediction results for the potential distributions of 32,000 species of plants in China. Furthermore, an online platform for predicting plant distributions in China (PPDC) based on visualization technology was developed, providing a basis for sharing the prediction results across a wide range of scientists and technologists.

Users can quickly access information about the potential distributions of plants in China, providing a reference for the collection, preservation, and protection of plant resources. In addition, users can quickly predict the potential distribution of a certain plant in a certain region in China according to specific needs, thus providing technical support for research and a basis for biodiversity conservation.

Citation examples:
       Qiu Jinshui, Zhang Jianwen, Wang Yanan, Zhuang Huifu (2024) PPDC: an online platform for the prediction of plant distributions in China. J Plant Ecol 17:rtae094. https://doi.org/10.1093/jpe/rtae094

   

Name：Qiu Jinshui

Email：qiujinshui@mail.kib.ac.cn

Tell：(+86)0871-65223223

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