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面CO2演变的时空异质性范围，并开发和验证一个森林尺度的地面CO2演变模型。 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其与大面积森林地面CO2演变相结合。 位于阿巴拉契亚山脉南部的Coweeta水文实验室的1600公顷主要盆地将成为我们研究的物理重点。 测量的因素包括土壤温度、土壤湿度、凋落物质量和数量、细根和粗根生物量、N和C以及土壤N和C。 然后，我们将整合这些因素与地图的景观参数，如海拔，地形位置，土壤特性，植被类型，年龄和结构，在一系列的模型，预测森林地面CO2演变的景观。 拟议的研究将利用森林CO2演变的空间和时间变化的测量，建立模型，将非生物和生物驱动变量与森林地面CO2演变联系起来。 这将有助于了解和预测生态系统层面的变化，在CO2的短期和长期变化的环境和全球条件的反应。

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.