Integration and standardization of species survey data sets for climate change impact research for ecosystems

As the impacts of climate change on ecosystems and human society become increasingly severe, the need for national-level policy responses is growing. However, biodiversity survey data collected by various government agencies in South Korea lack spatial and temporal representativeness at the national scale. This limits the ability to accurately assess the current state of biodiversity and to identify the mechanisms of biodiversity change due to climate change. To address these challenges, this study proposes a strategy for integrating various biodiversity survey datasets to obtain data suitable for analyzing the current state of biodiversity and time-series changes in the context of climate change impacts. The approach involves identifying common elements (such as species names, location, and survey period) and examining standardization methodologies. The key recommendations of this study are as follows: First, standardize species names based on the National Species List to ensure consistency in survey data. Second, improve the precision of location information and correct errors to enhance data reliability. Third, develop a method to derive analysis unit periods for time-series analysis from datasets with irregular survey frequencies. These strategies are expected to strengthen the scientific foundation for ecosystem change research and provide critical baseline data for policy development in response to climate change.