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| Created: | Jun 01, 2026 at 8 p.m. (UTC) | |
| Last updated: | Jun 01, 2026 at 11:50 p.m. (UTC) | |
| Citation: | See how to cite this resource | |
| Content types: | CSV Content |
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Abstract
This HydroShare resource contains the complete R code, intermediate outputs, and analysis products used in the study entitled “A vegetation-based modeling framework for estimating ecosystem respiration across land uses.”
The workflow consists of two primary R scripts.
1. The first script (01_Data_Preparation_and_RecoBase.R) prepares input datasets, merges satellite and flux observations, and derives the baseline ecosystem respiration component (Reco_base).
2. The second script (02_Fitting_and_Analysis_Integrated.R) performs site-specific parameter optimization, ecosystem respiration simulation, model evaluation, bias analysis, time-series diagnostics, parameter distribution analysis, and seasonal supplementary analyses.
The generated outputs are organized into numbered directories corresponding to major analytical steps:
01_Site_Map: Locations of all study sites.
02_Fitting_and_Simulation: Optimized model parameters and simulated Reco datasets.
03_Model_Comparison_Scatter: Scatter plot comparisons between observed and modeled Reco.
04_Bias_Analysis: Quantitative bias metrics by land-use category.
05_Bias_Barplots: Visualization of model bias statistics.
06_TimeSeries_Comparison: Site-level time-series comparisons and diagnostic plots.
07_Parameter_Error_Analysis: Parameter summaries and error analyses.
08_Parameter_PDF_Density: Probability density distributions of fitted parameters.
09_Seasonal_Supplementary_Figures: Seasonal governing-factor analyses and soil moisture-temperature coupling figures.
The original eddy covariance observations used in this study were obtained from the AmeriFlux networks. Satellite-derived vegetation products, including MODIS-based datasets, were acquired from available NASA data repositories.
This resource is intended to support transparency, reproducibility, and future methodological development related to ecosystem respiration modeling and carbon-cycle research.
Subject Keywords
Coverage
Spatial
Temporal
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How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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