AbstractIn this work, we integrated a remote-sensing-based (the MODIS MOD_17 Gross Primary Productivity (GPP) model (MOD_17)) and a process-based (the Biome-BioGeochemical Cycles (Biome-BGC) model) ecological model in order to estimate long-term (from 2000 to 2012) forest carbon fluxes over the Qilian Mountains in northwest China, a cold and arid forest ecosystem. Our goal was to obtain an accurate and quantitative simulation of spatial GPP patterns using the MOD_17 model and a temporal description of forest processes using the Biome-BGC model. The original MOD_17 model was first optimized using a biome-specific parameter, observed meteorological data, and reproduced fPAR at the eddy covariance site. The optimized MOD_17 model performed muc...
Process-based ecosystem models are essential for understanding the behavior of the terrestrial carbo...
We modeled net primary productivity (NPP) at high spatial resolution using an advanced spaceborne th...
The Three Gorges Reservoir area is one of the most ecologically sensitive areas in China, and the fo...
Forest carbon flux is critical to climate change, and the accurate modeling of forest carbon flux is...
© 2017 The Author(s) In this work, we present a strategy for obtaining forest above-ground biomass (...
This study improved simulation of forest carbon fluxes in the Changbai Mountains with a process-base...
The terrestrial carbon cycle is one of the foci in global climate change research. Simulating net pr...
The current work adopted the Biome-BioGeochemical Cycle model to simulate the net primary productivi...
Net primary productivity (NPP) is an important component of the terrestrial carbon cycle. Accurately...
The current study used the Biome-Bio Geochemical Cycle (Biome-BGC) model to simulate water-use effic...
AbstractTerrestrial carbon cycle plays an important role in global climate change. As a key componen...
Recently, forest carbon (C) budgets have been significantly affected by climate variability, nitroge...
The forest of Northeast China is located in the middle and high latitudes,accounting for more than 3...
Carbon fluxes in temperate grassland ecosystems are characterized by large inter-annual variations d...
Field net primary productivity (NPP) is useful in research modeling of regional and global carbon cy...
Process-based ecosystem models are essential for understanding the behavior of the terrestrial carbo...
We modeled net primary productivity (NPP) at high spatial resolution using an advanced spaceborne th...
The Three Gorges Reservoir area is one of the most ecologically sensitive areas in China, and the fo...
Forest carbon flux is critical to climate change, and the accurate modeling of forest carbon flux is...
© 2017 The Author(s) In this work, we present a strategy for obtaining forest above-ground biomass (...
This study improved simulation of forest carbon fluxes in the Changbai Mountains with a process-base...
The terrestrial carbon cycle is one of the foci in global climate change research. Simulating net pr...
The current work adopted the Biome-BioGeochemical Cycle model to simulate the net primary productivi...
Net primary productivity (NPP) is an important component of the terrestrial carbon cycle. Accurately...
The current study used the Biome-Bio Geochemical Cycle (Biome-BGC) model to simulate water-use effic...
AbstractTerrestrial carbon cycle plays an important role in global climate change. As a key componen...
Recently, forest carbon (C) budgets have been significantly affected by climate variability, nitroge...
The forest of Northeast China is located in the middle and high latitudes,accounting for more than 3...
Carbon fluxes in temperate grassland ecosystems are characterized by large inter-annual variations d...
Field net primary productivity (NPP) is useful in research modeling of regional and global carbon cy...
Process-based ecosystem models are essential for understanding the behavior of the terrestrial carbo...
We modeled net primary productivity (NPP) at high spatial resolution using an advanced spaceborne th...
The Three Gorges Reservoir area is one of the most ecologically sensitive areas in China, and the fo...