Kuai Xinyuan, Fu Quansheng, Sun Hang, Deng Tao
School of Life Sciences, Yunnan University, Kunming 650500, Yunnan, China.
State Key Laboratory of Plant Diversity and Specialty Crops, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, Yunnan, China.
Plant Divers. 2024 Feb 22;47(4):702-708. doi: 10.1016/j.pld.2024.01.001. eCollection 2025 Jul.
The study of plant diversity is often hindered by the challenge of integrating data from different sources and different data types. A standardized data system would facilitate detailed exploration of plant distribution patterns and dynamics for botanists, ecologists, conservation biologists, and biogeographers. This study proposes a gridded vector data integration method, combining grid-based techniques with vectorization to integrate diverse data types from multiple sources into grids of the same scale. Here we demonstrate the methodology by creating a comprehensive 1° × 1° database of western China that includes plant distribution information and environmental factor data. This approach addresses the need for a standardized data system to facilitate exploration of plant distribution patterns and dynamic changes in the region.
植物多样性研究常常因整合来自不同来源和不同数据类型的数据这一挑战而受阻。一个标准化的数据系统将有助于植物学家、生态学家、保护生物学家和生物地理学家详细探索植物分布模式和动态变化。本研究提出了一种网格化矢量数据整合方法，将基于网格的技术与矢量化相结合，把来自多个来源的不同数据类型整合到相同尺度的网格中。在此，我们通过创建一个涵盖中国西部的全面的1°×1°数据库来展示该方法，该数据库包含植物分布信息和环境因子数据。这种方法满足了对标准化数据系统的需求，以促进对该地区植物分布模式和动态变化的探索。
