Estimating Global Inventory-Based Net Carbon Exchange from Agricultural Lands

This study aims to quantify global agricultural carbon fluxes by considering above- and belowground crop biomass, crop residues, livestock interactions, and human food intake. The methods involve combining inventory data and spatially resolved estimates of Net Carbon Exchange (NCE). Satellite-based land cover data and human population distributions are utilized for spatial distribution analysis. Uncertainty is assessed through probability density functions and Monte Carlo Analysis.

• Carbon Exchange
• Agricultural Lands
• Global Study
• Carbon Fluxes
• Satellite Data

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1. Estimating Global Inventory-Based Net Carbon Exchange from Agricultural Lands for Use in the NASA Flux Pilot Study Julie Wolf, Yannick Le Page and Tris West Joint Global Change Research Institute CMS 2014 Science Team Meeting

2. Objectives: Quantify global agricultural carbon fluxes: - -

3. Objectives: Quantify global agricultural carbon fluxes: Above- and belowground crop biomass Harvested and removed crop biomass Crop residues left on field Crop net primary productivity (NPP) Livestock intake of crop harvests and crop residues Livestock forage/grazing of non-crop carbon Human intake of crop- and livestock-based food

4. Objectives: Quantify global agricultural carbon fluxes Quantify agricultural net carbon exchange (NCE) and construct carbon budget Distribute carbon fluxes at 0.05 degree scale for 2005 - 2011 Estimate uncertainty for all carbon fluxes

5. Methods: Combine Inventory data for crops, livestock, and human populations (1961 2011) Carbon coefficients Satellite-based land cover (2005 base year) to create spatially resolved estimates of NCE

6. Methods: NCE = -NPP + belowground biomass + residue + food intake + fodder intake (ignoring changes in soil carbon, eq. simplifies to) NCE = -harvest + food intake + fodder intake

7. Methods: Spatial distribution: Crops MODIS 500m landcover product (2005), cropland area reconciled to match reported harvested areas. Livestock estimated area requirements for housed and free-ranging populations placed on grassland and shrubland; also on croplands in dense areas Humans SEDAC 2005 Gridded Human Population of the World.

8. Methods: Uncertainty: Develop probability density functions for all coefficients, based on range in published values. Monte Carlo Analysis of complete mathematical model for each flux quantity.

9. Results: Crop harvest, NPP, and area

10. Results: Crop NPP spatial distribution

11. Results: Regional NCE and spatial distribution (NCE = -harvest + food intake + fodder intake)

12. Results: Global agricultural budget

13. Results: Global agricultural budget agricultural losses post-harvest losses food supply chain losses/waste

14. Results: Global agricultural budget Detailed livestock intake: crop residues primary harvest hay and fodder crops forage/grazing

15. Conclusions: Objectives completed Manuscript completed: Biogenic carbon fluxes from global agricultural production and consumption Data available include spatial distributions, coefficients developed, crop residue, livestock feed sources, and livestock manure production.

16. Thank you.