44
Th Si dE l fC b Off t The Science and Ecology of Carbon Offsets D i B ld hi Dennis Baldocchi Ecosystem Sciences Division/ESPM University of California, Berkeley 2007 Max Planck Institute for Biogeochemistry, Jena

Th S i d E l f C b Off tThe Science and Ecology of Carbon Offsets · 2008. 1. 18. · b[0] 0.419 b[1] 1.011 r ² 0.952 Air Temperature (20 Tair, Savanna 10 15 20 25 Day 0 50 100 150

  • Upload
    others

  • View
    4

  • Download
    0

Embed Size (px)

Citation preview

  • Th S i d E l f C b Off tThe Science and Ecology of Carbon Offsets

    D i B ld hiDennis BaldocchiEcosystem Sciences Division/ESPM

    University of California, Berkeley

    2007 Max Planck Institute for Biogeochemistry, Jena

  • If Papal Indulgences can save us from burning in Hell:C C b I d l S l Gl b l W i ?Can Carbon Indulgences Solve Global Warming?

  • Concluding Issues to Consider

    • Vegetation operates less than ½ of the year and is a solar collector with less than 2% efficiency– Solar panels work 365 days per year and have an efficiency of 20%+

    • Ecological Scaling Laws are associated with Planting Trees– Mass scales with the -4/3 power of tree density

    • Available Land and WaterBest Land is Vegetated and Ne Land needs to take p More Carbon– Best Land is Vegetated and New Land needs to take up More Carbon than current land

    – You need more than 500 mm of rain per year to grow Trees• The ability of Forests to sequester Carbon declines with stand age• There are Energetics and Environmental Costs to soil, water, air and

    land use change– Changes in Albedo and surface energy fluxes – Emission of volatile organic carbon compounds ozone precursors– Emission of volatile organic carbon compounds, ozone precursors– Changes in Watershed Runoff and Soil Erosion

    • Societal/Ethical Costs and Issues– Land for Food vs for Carbon and Energy– Energy is needed to produce, transport and transform biomass into

    energy

  • Future Carbon Emissions: Kaya Identity

    C Emissions = Population * (GDP/Population) * (Energy/GDP) * (Emissions/Energy)

    •PopulationP l ti t d t t 9 10 billi b

    (Energy/GDP) (Emissions/Energy)

    •Population expected to grow to ~9-10 billion by 2050

    •Per capita GDP, a measure of the standard of living•Rapid economic growth in India and China•Rapid economic growth in India and China

    •Energy intensity, the amount of energy consumed per unit of GDP.

    •Can decrease with efficient technologyCan decrease with efficient technology•Carbon intensity, the mass of carbon emitted per unit of energy consumed.

    •Can decrease with alternative energygy

  • CO2 in 50 years, at Steady-State2 y , y

    • 8 GtC/yr Anthropogenic Emissions8 GtC/yr, Anthropogenic Emissions– 45% retention

    • 8 * 50 * 0.45 = 180 GtC, integrated Flux• Each 2 19 GtC emitted causes a 1 ppm increase in• Each 2.19 GtC emitted causes a 1 ppm increase in

    Atmospheric CO2• 833 (@380 ppm) + 180 = 1013 GtC, atmospheric

    burdenburden• 462 ppm with BAU in 50 years

    – 1.65 times pre-industrial level of 280 ppmBAU C emissions will be 16 to 20 GtC/yr in 2050• BAU C emissions will be ~ 16 to 20 GtC/yr in 2050

    • To stay under 462 ppm the world can only emit 400 GtC of carbon, gross, into the atmosphere!

  • We cannot Afford Steady-State or BAU:We Must Consider the Integrated Path of Carbon EmissionsWe Must Consider the Integrated Path of Carbon Emissions

    IPCC

  • Can we offset Carbon Growth by Planting Trees?Ca e o set Ca bo G o t by a t g ees

  • Yoda’s Self Thinning LawYoda s Self Thinning Law

    • Planting trees is may be a ‘feel good’ solution but itfeel-good solution, but it is not enough– self thinning will occur

    • Energetics of Solar• Energetics of Solar Capture Drives the Metabolism of the System

    Enquist et al. 1998

  • Metabolic Scaling of Populations of g pOrganisms

    Energy flux of a population per unit area (Bt) is scaleinvariant with mass of the system (M):

    B N B M M M= ∝ =−3 4 3 4 0/ /B N B M M MT i i i i= ∝ =

    All t l (2002)Allen et al. (2002)

  • Energy Drives Metabolism:How Much Energy is Available and Where

    FLUXNET database

    How Much Energy is Available and Where

    8000

    J m

    -2 y

    -1) 6000

    Rg

    (M

    2000

    4000

    0 10 20 30 40 50 60 70 80 900

    Latitude

  • Potential and Real Rates of Gross Carbon Uptake by Vegetation:Most Locations Never Reach Upper Potential

    GPP at 2% efficiency and 365 day Growing Season

    tropics

    GPP at 2% efficiency and 182.5 day Growing Season

    FLUXNET 2007 Database

  • How Does Energy Availability Compare with Energy Use?gy y p gy

    • US Energy Use: 105 EJ/yeargy y– 1018J per EJ– US Population: 300 106– 3.5 1011 J/capita/year

    • US Land Area: 9 8 106 km2=9 8 1012 m2 = 9 8 108 ha• US Land Area: 9.8 106 km2=9.8 1012 m2 = 9.8 108 ha• Energy Use per unit area: 1.07 107 J m-2• Potential, Incident Solar Energy: 6.47 109 J m-2

    – Ione, CAIone, CA• A solar system (solar panels, biomass) must be 0.1% efficient,

    working year round, over the entire surface area of the US to capture the energy we use to offset fossil fuel consumptionAssuming 20% efficient solar system• Assuming 20% efficient solar system– 8.11 1010 m2 of Land Area Needed (8.11 105 km2, the size of South

    Carolina)

  • Adler et al 2007 Ecol Appl

  • GPP has a Cost, in terms of Ecosystem Respiration

  • We need to Consider Net, not Gross, CO2 Exchange:, , 2 g

    Fluxnet 2007 Database180 Sites across 600+ measurement-years

  • It’s a matter of scaleIt s a matter of scaleA lot of ‘trees’ need to be planted to offset our profligate carbon use

    US t f b t 25% f Gl b l C i i• US accounts for about 25% of Global C emissions– 0.25*8.0 1015 gC = 2.0 1015 gC

    • Per Capita Emissions, US– 2.0 1015 gC/300 106 = 6.66 106 gC/person

    • Ecosystem Service, net C uptake, above current rates– ~200 gC m-2200 gC m

    • Land Area Needed to uptake C emissions, per Person– 3.33 104 m2/person = 3.33 ha/person

    US L d A• US Land Area – 9.8 108 ha– 10.0 108 ha needed by US population to offset its C emissions

    N t ll !Naturally!

  • 1. Carbon is Lost with Disturbance

    2. Net Carbon Uptake Decline with Age

    600 Sinkm

    -2 y

    -1)

    200

    400 OASOBSOJPNOBS

    Interannual Variability

    Flux

    (g C

    m

    -200

    0

    NOBSHJP94F89F98HBS00WP39Gap

    Car

    bon

    F

    -600

    -400

    200DF49HDF88HDF00HJP02EOBSOMW

    Source

    St d A ( )0 20 40 60 80 100 120 140 160 180

    -800

    600HJP75BF67

    Stand Age (years)Brian Amiro 2007 AgForMet

  • All Land is Not Available or Arable:Y d W t t G T !You need Water to Grow Trees!

    Scheffer al 2005

  • Leaf Area Index scales with:Precipitation, Evaporation and Nutrition

    10

    various functional types:Baldocchi and Meyers (1998)

    p , p

    y ( )savanna:Eamus et al. 2001

    LAI

    1b[0] -0.785b[1] 0.925r ² 0.722

    [N]ppt/Eeq

    0.1 1 10 1000.1

  • Carbon sequestration by plantations can dry out streamsq y p y

    [Jackson, et al., 2005, Science].

  • Other Complications associated with li C b t tireliance on Carbon sequestration

    • FireFire• Nutrient Requirements

    S il E i• Soil Erosion• Ecosystem Sustainability• Deleterious effects of Ozone, Droughts

    and Heat Stress• Length of Growing Season

  • Energetics of Greenhouse Gas Forcing:Doubling CO2 provides a 4 Wm-2 energy increase, Worldwide

    Myhre et al 1998 GRL

  • Its not Only Carbon Exchange:Alb d Ch t ith l ti F tAlbedo Changes too with planting Forests

    bedo

    0.15

    0.20AKMBSKSOA

    ertim

    e A

    lb

    0.10

    Sum

    me

    0.05

    Time since disturbance (years)0 25 50 75 100 125 150 175

    0.00

    Time since disturbance (years)

    Amiro et al 2006 AgForMet

  • Randerson et al 2006 Science

  • Should we cut down dark forests to Mitigate Global Warming?:UpScaling Albedo Differences Globally part 1UpScaling Albedo Differences Globally, part 1

    • Average Solar Radiation: ~95 to 190 W m-2• Land area: ~30% of Earth’s Surface• Tropical, Temperate and Boreal Forests: 40% of land• Forest albedo (10 to 15%) to Grassland albedo (20%)• Area weight change in incoming Solar Radiation: 0 8 W• Area weight change in incoming Solar Radiation: 0.8 W

    m-2– Smaller than the 4 W m-2 forcing by 2x CO2– Ignores role of forests on planetary albedo as conduits of waterIgnores role of forests on planetary albedo, as conduits of water

    vapor that form clouds and reflect light

  • Should we cut down dark forests to Mitigate Global Warming?:UpScaling Albedo Differences Globally part 2UpScaling Albedo Differences Globally, part 2

    km2 MJ m-2 y-1 albedo albedoarea rad change wt value

    tropical 1.75E+07 6.00E+09 0.05 0.15 5.25E+15temperate 1.00E+07 5.00E+09 0.05 0.15 2.50E+15boreal 1.30E+07 4.00E+09 0.1 0.1 5.20E+15

    Earth 5.10E+08 sum 1.30E+16ave time/land 0.805 W m-2

  • Case Study:

    Energetics of a Grassland d O k Sand Oak Savanna

    Measurements and Model

  • Case Study:Savanna Woodland adjacent to Grassland

    35

    Solar RadiationNet Radiation, GrasslandNet Radiation, Savanna

    Savanna Woodland adjacent to Grassland

    2006

    m-2

    d-1

    )

    25

    30

    ux D

    ensi

    ty (M

    J

    15

    20

    Ene

    rgy

    Flu

    5

    10

    Day

    0 50 100 150 200 250 300 3500

    1. Savanna absorbs much more Radiation than grassland

  • 0.30Grassland

    2006

    0.20

    0.25

    GrasslandSavanna

    PA

    R A

    lbed

    o

    0 10

    0.15

    0.05

    0.10

    Day

    0 50 100 150 200 250 300 3500.00

    2. Grassland has much great albedo than savanna

  • 2006

    m-2

    d-1

    )

    10

    12GrasslandSavanna 2006

    m-2

    d-1

    )

    12

    14GrasslandSavanna

    at F

    lux

    Den

    sity

    (MJ

    m

    4

    6

    8

    eat F

    lux

    Den

    sity

    (MJ

    6

    8

    10

    0 50 100 150 200 250 300 350

    Late

    nt H

    ea

    0

    2

    4

    0 50 100 150 200 250 300 350

    Sen

    sibl

    e H

    e

    0

    2

    4

    Day Day

    3. Savanna evaporates more, but it also injects more sensible heat into the t hatmosphere

  • 2006

    2006

    C)

    30

    40GrasslandSavanna

    2006

    30

    35

    40

    Coefficients:b[0] 0.419b[1] 1.011r ² 0.952

    Air

    Tem

    pera

    ture

    (C

    20

    Tair,

    Sav

    anna

    10

    15

    20

    25

    Day

    0 50 100 150 200 250 300 3500

    10

    Tair, Grassland

    0 5 10 15 20 25 30 35 400

    5

    10

    Day

    4 But air temperature differences are small (15 7 vs 16 4

    ,

    4. But air temperature differences are small (15.7 vs 16.4 C) despite large differences in Energy Fluxes

  • Annual budget of energy fluxes

    EF: 0.23Ω: 0.16

    EF: 0.29Ω: 0.27

    6.6 GJ/m2/yr 6.6 GJ/m2/yr

    Gs: 3.42 mm/secGa: 50.64 mm/secSWC at surface: 0.19

    Gs: 3.95 mm/secGa: 25.14 mm/secSWC at surface: 0.12

    1.93 GJ/m2/yr

    H

    0.97 GJ/m2/yr

    LE

    1.45 GJ/m2/yr

    H

    0.75 GJ/m2/yr

    LERnet3.18 GJ/m2/yr

    Rnet2.28 GJ/m2/yr

    Tonzi site Vaira site

    -0.01 GJ/m2/yr 0.05 GJ/m2/yr

    G G

  • ET-PBL O ak-G rass Savanna Land U se

    e 300

    310

    Th E ti f

    T su

    rfac

    e

    290

    300

    albedo = 0.3; R c=2560 s /malbedo = 0.15; R c = 320 s /m

    •The Energetics of afforestation/deforestation is complicated

    Tim e

    6 8 10 12 14 16 18 20280

    800

    •Forests have a low albedo, are darker and absorb more energy

    (W m

    -2)

    400

    600

    absorb more energy

    •But, Ironically the darker forest maybe cooler than a

    Rne

    t

    0

    200

    albedo = 0 .3; R c=2560 s /malbedo = 0 .15; R c = 320 s/m

    ybright grassland due to evaporative cooling

    T im e

    6 8 10 12 14 16 18 20

  • 250ET-PBL Oak-Grass Savanna Land Use

    F t T i

    W m

    -2) 150

    200

    •Forests Transpire effectively, causing evaporative cooling, which in humid regions may form

    LE (W

    50

    100 albedo = 0.3; Rc=2560 s/malbedo = 0.15; Rc = 320 s/m

    in humid regions may form clouds and reduce planetary albedo

    Time

    6 8 10 12 14 16 18 200

    500

    m-2

    ) 300

    400

    H (W

    m

    100

    200

    albedo = 0.3; Rc=2560 s/malbedo = 0.15; Rc = 320 s/mAxel Kleidon

    Time

    6 8 10 12 14 16 18 200

  • PBL feedbacks affect Tair

    310

    300

    305PBL Feedbackno PBL feedbackair temperature with feedback

    T sfc (o

    K)

    290

    295

    285

    290

    Time

    6 8 10 12 14 16 18280

  • Fig. 1. Simulated temporal evolution of atmospheric CO2 (Upper) and 10-year running mean of surface temperature change (Lower) for the period 2000-2150 in the Standard and deforestation experiments

    Copyright ©2007 by the National Academy of Sciences

    Bala, G. et al. (2007) Proc. Natl. Acad. Sci. USA 104, 6550-6555

  • Fig. 4. Simulated spatial pattern differences (Global minus Standard) in the decade centered on year 2100 for the surface albedo (fraction) (A), evapotranspiration rates (cm/day) (B), cloudiness (fraction)

    (C), and planetary albedo (fraction) (D) differences(C), and planetary albedo (fraction) (D) differences

    Bala, G. et al. (2007) Proc. Natl. Acad. Sci. USA 104, 6550-6555

    Copyright ©2007 by the National Academy of Sciences

  • • “Finally, we must bear in mind that preservation of ecosystems is a primary goal of preventing global warming, and the destruction of ecosystems to prevent global warming would be a counterproductive and perverse strategy. p gy

    • Therefore, the cooling that could potentially arise from deforestation outside the tropics should not necessarily be viewed as a strategy for mitigating climate change because, apart from their potential climatic role forests are valuable in many aspectsclimatic role, forests are valuable in many aspects.

    • They provide natural habitat to plants and animals, preserve the biodiversity of natural ecosystems, produce economically valuable timber and firewood, protect watersheds through prevention of soil erosion and indirectly prevent ocean acidification by reducingerosion, and indirectly prevent ocean acidification by reducing atmospheric CO2.

    • In planning responses to global challenges, therefore, it is important to pursue broad goals and to avoid narrow criteria that may lead to

    i t ll h f l ”environmentally harmful consequences”. • Bala et al 2007 PNAS

  • Concluding Issues to Consider

    • Vegetation operates less than ½ of the year and is a solar collector with less than 2% efficiency– Solar panels work 365 days per year and have an efficiency of 20%+

    • Ecological Scaling Laws are associated with Planting Trees– Mass scales with the -4/3 power of tree density

    • Available Land and WaterBest Land is Vegetated and Ne Land needs to take p More Carbon– Best Land is Vegetated and New Land needs to take up More Carbon than current land

    – You need more than 500 mm of rain per year to grow Trees• The ability of Forests to sequester Carbon declines with stand age• There are Energetics and Environmental Costs to soil, water, air and

    land use change– Changes in Albedo and surface energy fluxes – Emission of volatile organic carbon compounds ozone precursors– Emission of volatile organic carbon compounds, ozone precursors– Changes in Watershed Runoff and Soil Erosion

    • Societal/Ethical Costs and Issues– Food for Carbon and Energy– Energy is needed to produce, transport and transform biomass into

    energy– Role of forests for habitat and resources

  • Contemporary Radiative Forcing

    Hansen et al 2005 JGRHansen et al 2005 JGR

  • Energy fluxesEnergy fluxes

    • Potential Energy Production by EnergyPotential Energy Production by Energy Crops, 2025

    2 22 EJ yr-1– 2-22 EJ yr 1

    – Offsets 100-2070 Mt CO20 564 Gt C/yr-1– 0.564 Gt C/yr-1

    Sims et al 2006 Global Change Biology

  • You Need Water to Grow Trees!You Need Water to Grow Trees!

    10

    various functional types:Baldocchi and Meyers (1998)savanna:Eamus et al. 2001

    LAI

    1b[0] -0.785b[1] 0.925r ² 0.722

    [N]ppt/E

    0.1 1 10 1000.1

    [N]ppt/Eeq

  • Chapin et al 2005 Science