Trading Water for Carbon? Groundwater Management in the Presence of GHG
Mitigation Incentives for AgricultureJustin Baker
Research AnalystCenter on Global Change, Duke University
Doctoral Candidate
Agricultural Economics, Texas A&M University
Background. . .
• Policy efforts could make GHG mitigation in forestry and agriculture a reality
– Decreased management intensity
– Terrestrial sequestration
– Biofuels as low-carbon alternatives for transportation (debatable)
– Use of agricultural residues for bioenergy
Meanwhile. . . • Groundwater accounts for 41% of all irrigation supplies
• Effective groundwater management increasingly difficult – Increased Competition– Emerging agricultural markets (biofuels)– Higher energy prices– Threats of Climate Change– Degraded Quality – Threatened ecosystem services
• How will climate mitigation incentives and groundwater management interact?
Managing Water AND GHGs
• There are trade-offs to consider
– Why the ambiguity?• Regional considerations, input substitutability, and leakage impacts are
important
Water Implications GHG Potential
Land-based Mitigation Activity
Consumption Quality Net Emissions
Biofuels + - + or -
Bioelectricity + or - + or - -
Soil Sequestration
+ or - + or - -
Afforestation + or - + or - -
Non-CO2 Emissions
+ or - + -
Example: Renewable Fuels Standard
• Mandating biofuels can have adverse consequences – Simulation Results using FASOMGHG model confirm this:
Environmental Measures (National)
0
2
4
6
8
10
2005 2010 2015 2020 2025
Year
Perc
ent C
hang
e fro
m
2005
Bas
elin
e
Water Use Nitrogen Phosphorous
• By 2015, bioenergy offsets account for 86.5 Million Tonnes CO2 Eq.
•Additional water use 13.8 MAF/year
•6.26 T CO2/AF
•Worthy trade-off?
Research Objectives
• Two part project~1) Theoretical modeling
• Is it possible to manage groundwater extraction, water quality, and GHG emissions conjunctively?
– Small spatial scale– Are welfare gains possible? – Simple illustration, limitations, future development
2) Empirical Case Study• Ogallala Aquifer- Assessment of groundwater
resources under exogenous climate policy shocks– Co-benefit, or co-costs?
Simple Groundwater Management System
Groundwater Extracted, Wt
Applied Nitrogen, nt
Production: y=f(Wt,nt)
Nitrate concentration of rechargeNR=h(Wt,nt,Rt)
Natural Recharge Rt
Groundwater Stock, St Nitrate Stock, NS
GHG Emissions, G=g(Wt,nt)
Local environmental damagesD=d(Wt,nt,St,NS)
*Both St and NS are state variables, and depend on the choice of Wt and nt.
*also depends on land use
decisions
Basic Model- Aquifer and Pollution
Dynamics • Groundwater dynamics
• Pollution Dynamics (using nitrate concentration)
.t tS R W
:
( , )
S R St t
Rt t t
N N N
where
N h W n
Social Planner’s Problem
• Maximizing returns to production and benefits of GHG mitigation
• The choice of Wt, nt will dictate extraction rate and pollution concentration dynamics
• Subject to equations of motion
,max ( ( , ) ( , ) ( ) )t t
ty t t c t t n t t t
W no
p f W n p g W n c n c S W e dt
Model Features
• Incorporates some social costs of water use and fertilizer application
• If GHG emissions are targeted, stock depletion and nitrate accumulation are slowed (Wt, nt ).
– Proposition: Managing GHG emissions in isolation could provide a “second-best” policy option for improving groundwater management
Numerical Illustration (parameters)
• Production function parameters f() (Larson, et al 1996)
• Leaching parameters NR (Larson, et al 1996)
• Decay in Nitrates (Yadav, 1997)
• IPCC default values for GHG emissions (IPCC 2007)
• Price and biophysical data (various sources)
• GAMS used for optimal control simulation
Graphical Results Nitrate Concentration
1 25 49
Time
Nit
rate
Co
ncen
trati
on
Common Property . GHG Policy .
•Very Preliminary
•Water quantity gains are minimal
•Quality gains more substantial
•GHG benefits:
•At $35/T CO2 Only 3.2 T CO2 saved over 50 years
•~0.064 T CO2ha-1 yr-1
Optimal Extraction
-30
-25
-20
-15
-10
-5
0
1 25 49
Time
Wat
er T
able
Baseline GHG Pricing
Extensions of the Model
1) Managing GHG emissions from production intensity will yield minimal benefits– Alternative GHG mitigation/offset activities to be
included
2) Climate Policy to be determined exogenously to the agricultural system– Policy decisions and systematic shock
uncertainty matter – Pertinent case study needed
Ogallala (High Plains) Aquifer• Area- Approximately 170,000 miles2
– Roughly ¼ of US agricultural land base
– Spans eight states (Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, Wyoming)
– Varying management institutions
Empirical Modeling Approach• Exploration of groundwater dynamics in
prominent agricultural region under exogenous climate policy shocks – Addition of consistent hydrologic features of the
Ogallala Aquifer to a national agricultural/forestry sector partial equilibrium model (FASOMGHG)
• FASOMGHG is an ideal model to expand for this study– Land use competition,– Comprehensive GHG accounting– Full suite of mitigation/offset activities
• (bioenergy, biological sequestration, etc.)
Why should this region be concerned?
Grain Ethanol Production (Million Gallons)
CROP_ETHAN
0
40
3970
4840
6360
36 BGY scenario (Total = 15 BGY)
Cellulosic Ethanol Production (Million Gallons)
CELL_ETHAN
Current FASOMGHG Spatial Scope
Currently:11 major regions67 subregions
After Additions:12 additional Ogallala sub-regions79 Final Regions
Dealing with Heterogeneity• Aquifer levels subject to
variability
• FASOMGHG too large to attempt geographic mapping at fine spatial scale
• Ogallala sub-regions to be empirically distributed under initial saturated thickness condition
– Approach is superior to taking regional averages
Other Operational Procedures
• Improved GHG accounting for alternative irrigation systems
• Improved life-cycle water accounting (especially for biofuels)
• Yield potential for deficit irrigation practices
Data Collection• Literature search
– Determination of ideal geographical boundaries• Differences in Geophysics,• Management institutions
• Saturated thickness levels for initial stock/lift – (TTU, NU, KSU, USGS, TWDB)
• MODFLOW data for recharge, heterogeneity
• Estimates of NO3, other concentrations
• Agricultural statistics for sub-regional differences in management– (USDA-NASS, KSU and TX Extension Services, etc.)
Expected Results
• Depletion effects and optimal extraction over time– Long-term sustainability concerns
• Comparison of varying institutions under exogenous systematic pressures
• Carbon-for-Water trade-offs– (or carbon-and-water co-benefits)– Social Implications
Conclusion
• Theory of conjunctive GHG and groundwater management warrants further attention
• Interactions of exogenous climate policy and regional water resource management are important
• Extensive, national scale modeling effort needed to assess various social trade-offs in agricultural GHG mitigation opportunities