Forest Floor Carbon Dioxide Evolution: Measurement and Modeling at Landscape Scales

Bolstad本研究的总体目标是确定东部落叶林地表CO2演化的时空异质性范围，并建立和验证景观尺度的森林地表CO2演化模型。该项目将测量多种非生物和生物因素，并使用各种建模和缩放技术将这些因素与大面积的森林地面二氧化碳演变相结合。南阿巴拉契亚山脉Coweeta水文实验室1600公顷的主要盆地将是我们研究的物理重点。测量因子包括土壤温度、土壤湿度、凋落物质量和数量、细根和粗根生物量、氮和碳以及土壤氮和碳。然后，我们将这些因子与可绘制的景观参数（如海拔、地形位置、土壤特征、植被类型、年龄和结构）结合起来，建立一系列模型，预测整个景观中森林地面二氧化碳的演变。本研究将利用森林二氧化碳演化的时空变化测量，建立将非生物和生物驱动变量与森林地面二氧化碳演化联系起来的模型。这将有助于理解和预测生态系统对短期和长期环境和全球条件变化的二氧化碳响应的变化。

Bolstad The overall objectives of this study are to determine the range o spatial and temporal heterogeneity in CO2 evolution from eastern deciduous forest floors, and to develop and validate a landscape-scale forest floor CO2 evolution model,. This project would measure multiple abiotic and biotic factors, and couple these to forest floor CO2 evolution over a large area using a variety of modeling and scaling techniques. The 1600 ha main basin of the Coweeta Hydrologic lab in the Southern Appalachian Mountains will be the physical focus of our research. Measured factors will include soil temperature, soil moisture, litter quality and quantity, fine and coarse root biomass, N, and C, and soil N and C. We will then integrate these factors with mappable landscape parameters such as elevation, terrain position, soil characteristics, vegetation type, age, and structure, in a series of models which predict forest floor CO2 evolution across the landscape. The proposed research will utilize the measurements of the spatial and temporal variation in forest CO2 evolution to develop models which link abiotic and biotic driving variables with forest floor CO2 evolution. These will help understand and predict ecosystem-level changes in CO2 response to short-term and long-term changes in environmental and global conditions.