Table 1 Constructing and validating data for Rs and Rh models

From: Various responses of global heterotrophic respiration to variations in soil moisture and temperature enhance the positive feedback on atmospheric warming

Category

Name

Spatial resolution

Temporal resolution

Reference

Grid product data

Mean annual Temperature (MAT)

0.1°

Monthly

ERA577

 

Mean annual Precipitation (MAP)

0.1°

Monthly

ERA577

 

Shortwave Solar Radiation (DSR)

0.1°

Monthly

ERA577

 

Vegetation health Index (VHI)

4 km

Weekly

Zeng78

 

Soil Temperature (ST)

0.1°

Monthly

ERA577

 

Soil Moisture (SM)

0.1°

Monthly

ERA577

 

Gross Primary Productivity (GPP)

0.05°

Monthly

Zheng79

 

RICHNESS

0.08°

Sabatini80

Observed data

CO2 annual growth

NOAA Global Monitoring Laboratory48

 

FLUXNET2015

 
  1. Soil moisture refers to the volumetric water content in the root zone soil layer (7-28 cm), derived from the ERA5-Land reanalysis dataset. Soil temperature corresponds to the average thermal condition within this same 7–28 cm layer, numerically modeled using energy balance equations incorporating surface heat fluxes, atmospheric forcing data, and soil thermal properties. FLUXNET2015 is flux observation data, sourced from https://fluxnet.org/. It includes gross primary productivity, ecosystem respiration, and ecosystem net carbon exchange. This study will use ecosystem respiration data from flux observations to validate the reliability of our estimated soil heterotrophic respiration trends. All grid data was resampled to 0.05° to achieve spatial matching.