Evaluating gridded BIOME-BGC for simulating LAI at Kasilian watershed-Iran

BIOME-BGC simulations of stand hydrologic process for BOREAS

BIOME-BGC is a general ecosystem model designed to simulate hydrologic and biogeochemical processes across multiple scales. The objectives of this investigation were to compare BIOME-BGC estimates of hydrologic processes with observed data for different boreal forest stands and investigate factors that control simulated water fluxes. Model results explained 62 and 98% of the respective variance...

Reimplementation of the Biome-BGC model to simulate successional change.

Biogeochemical process models are increasingly employed to simulate current and future forest dynamics, but most simulate only a single canopy type. This limitation means that mixed stands, canopy succession and understory dynamics cannot be modeled, severe handicaps in many forests. The goals of this study were to develop a version of Biome-BGC that supported multiple, interacting vegetation t...

Simulation of Forest Carbon Fluxes Using Model Incorporation and Data Assimilation

This study improved simulation of forest carbon fluxes in the Changbai Mountains with a process-based model (Biome-BGC) using incorporation and data assimilation. Firstly, the original remote sensing-based MODIS MOD_17 GPP (MOD_17) model was optimized using refined input data and biome-specific parameters. The key ecophysiological parameters of the Biome-BGC model were determined through the Ex...

Comparison of EPM and geomorphology methods for erosion and sediment yield assessment in Kasilian Watershed, Mazandaran Province, Iran

Evaluation of Sediment yield in watershed scale is considered so important for implementation of soil conservation, watershed management, environment, dam construction and water resource management. Using empirical model is one of the approaches of evaluating Sediment yield. This research in Kasilian watershed evaluates Sediment yield by using Geomorphology method and EPM model with Arc View GI...

The biome programs: evaluating an experiment.