Factors Influencing Aboveground Carbon Storage in Mixed Oak-Pine Forests: USDA FIA Data from Southeastern U.S. (2009-2019)

This study explores factors affecting aboveground carbon (AGC) storage in mixed oak-pine forests across the Southeastern United States. Utilizing USDA Forest Inventory and Analysis (FIA) data from 2009 to 2019, the research spans nine states: Alabama, Mississippi, Florida, Georgia, North Carolina, South Carolina, Texas, Louisiana, and Virginia. Data processing in R included converting units to the metric system and calculating structural diversity using Shannon diversity indices. Climate data from the PRISM Climate Group were integrated with FIA data using longitude and latitude. The research aims to uncover how various factors influence AGC storage and contribute to informed forest management practices.本研究聚焦美国东南部混交栎松林内影响地上碳储量（aboveground carbon, AGC）的各类驱动因素。研究采用2009至2019年美国农业部森林资源清查与分析（Forest Inventory and Analysis, FIA）项目数据，覆盖亚拉巴马州、密西西比州、佛罗里达州、佐治亚州、北卡罗来纳州、南卡罗来纳州、得克萨斯州、路易斯安那州及弗吉尼亚州共9个州。研究依托R语言开展数据处理工作，包括将单位统一为公制体系，并通过香农多样性指数计算林分结构多样性。此外，本研究通过经纬度坐标将PRISM气候组（PRISM Climate Group）的气候数据与FIA数据集进行融合。本研究旨在揭示各类因素对地上碳储量的影响机制，为科学合理的森林经营管理实践提供支撑。