Multi-scale Drivers of Spatial Variation in Old-Growth Forest Carbon Density Disentangled with Lidar and an Individual-Based Landscape Model

Keyphrases

• Light Detection 100%
• Old-growth Forest 100%
• Landscape Modelling 100%
• Individual-based 100%
• Forest Carbon Density 100%
• Climate Change Mitigation 66%
• Stand Level 66%
• C Stocks 66%
• Simulation Model 33%
• Size Dependence 33%
• Biodiversity 33%
• Forest Ecosystem 33%
• C-level 33%
• Spatial Variability 33%
• Stand Structure 33%
• Soil Physical Properties 33%
• Anthropogenic Climate Change 33%
• Ecosystem Function 33%
• Atmospheric CO2 33%
• High-resolution Simulation 33%
• Environmental Gradients 33%
• Landscape Level 33%
• Ecosystem Management 33%
• Emerging Properties 33%
• Stand Dynamics 33%
• Environmental Drivers 33%
• Terrestrial Carbon 33%
• Forest Landscape 33%
• ILand 33%
• Stand Composition 33%
• Landscape Dynamics 33%
• Oregon 33%
• Carbon (C) Storage 33%

Earth and Planetary Sciences

• Spatial Variation 100%
• Old-Growth Forest 100%
• Climate Change Mitigation 66%
• Climate Change 33%
• United States of America 33%
• Atmospherics 33%
• Oregon 33%
• Forest Ecosystem 33%
• Stand Structure 33%
• Soil Physical Property 33%
• Environmental Gradient 33%
• Ecosystem Resource Management 33%
• Carbon Dioxide 33%
• Forest Dynamics 33%
• Regional Geography 33%