Module 5'2

1 / 37
About This Presentation
Title:

Module 5'2

Description:

New generation e.g. BIOME, CCVM, MAPPs, based on plant physiology responses ... Less data intensive than process models. e.g. COPATH, GLOBC7/8. Disadvantages: ... – PowerPoint PPT presentation

Number of Views:52
Avg rating:3.0/5.0
Slides: 38
Provided by: unf9

less

Transcript and Presenter's Notes

Title: Module 5'2


1
Module 5.2
  • Mitigation Methods and Tools in the Land-Use,
    Land-Use Change and Forestry Sectors

2
Baseline and Mitigation Scenario Construction in
Forestry
  • Land Availability
  • Baseline Scenario
  • Current trends for land-use and product
    consumption
  • Common models for formulating baselines - FAC,
    LUCS, GEOMOD, CO2-fix, etc
  • Mitigation Scenarios
  • Technical Potential
  • Programmatic
  • End-use
  • Achievable

3
End-use Driven Scenarios
  • 1. Simple Projection
  • Per capita consumption, adjusted for income
  • 2. Statistical Relationship
  • Specify a consumption equation with few
    Independent Variables e.g.Consumption f
    (Population, Income, Price)
  • 3. Econometric Analysis
  • Specify a system of demand and supply equations
    for each product, including both endogenous and
    exogenous variables.
  • Solve using appropriate technique, including
    statistical and/or optimization methods.
  • In all cases the projected product consumption
    must be reconciled, in varying degrees of
    complexity, with forest land required to support
    the level of consumption

4
Land Use Distribution Driving Factors
  • A. Demographic variables
  • population size, growth rate, rural/urban
    population and dependence on land resources.
  • B. Economic factors
  • income level, technological development,
    dependence on land-based exports, and rates of
    economic growth.
  • C. Biophysical factors
  • soil productivity, topography and climate.
  • D. Intensity of Land use
  • shifting versus permanent agriculture,
    clear-cutting versus selective harvesting/logging

5
Land-use Distribution Models
  • Process Models
  • EPIC, CENTURY Forest-BGC
  • Accounting Models
  • GLOBC7/8, COPATH
  • Socio-economic Accounting Models
  • LUCS, GEOMOD, FAC

6
GHG Flow Accounting Methods
  • Ecosystem-wide tools
  • Large area coverage models
  • Project/activity methods

7
Carbon Flows
  • Broad Area Carbon Flows
  • Specific Area Carbon Flows

8
Types of Forestry Models
  • Individual Tree Models
  • Forest Gap Models
  • Bio-geographical Models
  • Ecosystem Process Models
  • Terrestrial C Circulation Models
  • Land-use Change Models
  • Spreadsheet Models

9
1. Individual Tree Models
  • Simulate tree growth in tree-soil continuum.
  • Photosynthesis f(H2O, light, nutrients, etc )
  • No forest stand Dynamics
  • e.g. TREGRO

10
2. Forest Gap Models
  • Simulates forest succession after a small canopy
    opening
  • Based on empirical relationships
  • Factors solar radiation, growing degree days,
    soil nutrients, water, seed dispersal, latitude,
    competition, etc.
  • Simulate response to change in the environment
  • E.g. FORTNITE, FORTNUT, LINKAGES, LOKI, etc
  • Disadvantages
  • requires species specific parameterization

11
3. Bio-geographical Models
  • Regional and Biome-wide models e.g. Holdridge
  • New generation e.g. BIOME, CCVM, MAPPs,
  • based on plant physiology responses
  • Can simulate response to CO2 fertilization
  • Disadvantages
  • Work well for equilibrium conditions,
  • not well suited for ecosystems in transition.

12
4. Ecosystem Process Models
  • Simulate plant energy dynamics at canopy level
  • Based on Physiological and Ecosystem processes
  • E.g. CENTURY, FOREST-BGC, GEM
  • Disadvantages
  • Data intensive.

13
5. Terrestrial C Circulation Models
  • Regional and global
  • Simulate C dynamics under different climate
    scenarios
  • E.g. PULSE, IMAGE
  • The C-circulation module in IMAGE also simulates
    changes in land cover in each region
  • Disadvantages
  • Broad coverage, data intensive.

14
6. Land-use Change Models
  • Terrestrial Carbon Dynamic model capable of
    incorporating land use change.
  • IMAGE includes socio-economic factors e.g. income
    population.

15
7. Spreadsheet Models
  • Accounting models which track carbon flows in
    forests
  • Allows for forest type, country, biome or global
    aggregation
  • Less data intensive than process models
  • e.g. COPATH, GLOBC7/8
  • Disadvantages
  • Can not simulate climate change directly,
  • Oversimplifies the functioning of the ecosystem

16
Project/Activity Specific Carbon Accounting
  • Applicable to specific type of mitigation
    activities such as conservation projects,
    bioenergy projects, reforestation / afforestation
    programs etc
  • Accounting depends on the intended use of the
    biomass

17
Estimating Carbon StorageThree Major Situations
  • Standing Forests
  • Forests Managed in Perpetual Rotations
  • Vegetation Carbon
  • Decomposing matter
  • Soil Carbon
  • Fate of Forest Products
  • Conservation Forests

18
1. Estimating Carbon Stock for a Standing Forest
(tC)
  • Dry Biomass Density (tB/ha)
  • BD SVASTADWWD
  • where
  • BD Biomass Density
  • SV Stemwood Volume (m3/ha)
  • AS Ratio of Above-ground to Stemwood Volume
  • TA Ratio of Total to Above-ground biomass
  • DW Dry to Wet Biomass Ratio
  • WD Wood Density (t/m3)
  • Total biomass includes that which is below
    ground
  • Estimating Carbon Density (tC/ha)
  • Carbon Density CC BD
  • where
  • CC Carbon Content of biomass ()
  • CC is usually around 50 but varies with
    species.

19
2 Estimating Carbon Stored by Forests Managed in
Perpetual Rotations
  • Total carbon stored
  • Land carbon Product carbon
  • Land Carbon
  • (Vegetation soil decomposing matter) Carbon
  • Total Carbon storage in forests under perpertual
    rotations can be summarized as
  • Carbon Stored per ha C(v)T/2 C(d)t/2
    C(s)T?(i_c )pin_i/2
  • where
  • - C(v) vegetation carbon C(d) carbon in
    detritus C(s) soil organic carbon
  • T Rotation period in years i_c carbon in
    product i pi proportion of biomass in product
    i n_i lifetime of product i in years.

20
2a. Vegetation Carbon
  • For the plantation response option, consider that
    the plantation is operated in rotations for an
    indefinite time period. This would ensure that at
    least 1/2 the carbon sequestered by an individual
    plot is stored away indefinitely.
  • The formula for estimating the amount of carbon
    stored per ha is
  • Vegetation Carbon Stored per ha cvT/2
  • where
  • cv average annual net carbon sequestered per
    hectare
  • T rotation period
  • This formula is identical to the vegetation C
    components above

21
2b. Decomposing Matter
  • The decomposing biomass on land creates a stock
    of carbon.
  • In perpetual rotations it adds to
  • Decomposed Matter C stored per ha cdt/2
  • where
  • cd average annual C/ha left to decompose
  • t decomposition period

22
2c. Soil Carbon
  • Soil Carbon stored per ha csT
  • where
  • cs Increase in soil carbon/ha
  • T Rotation period

23
2d. Fate of Forest Products
  • If the forest products are renewed continually,
    they store carbon indefinitely.
  • Amount stored depends on product life. The amount
    stored over an infinite horizon will increase
    with product life according to the formula
  • Carbon stored in products per ha sum ?
    (cpi)n_i
  • Where
  • cpi amount of C stored/ha in product i
  • ni life of product i
  • Assumes instantaneous decomposition or disposal
    at the end of its use.

24
3. Carbon Stored by Conservation Forests
  • Total Stored Carbon Vegetation Carbon Soil
    Carbon
  • where
  • Vegetation carbon cv T T Forest
    Biological Maturity
  • Soil carbon cs t t period for soil carbon
    equilibrium

25
Review of Framework and Conclusion
  • COMAP Approach Revisited
  • Cost Benefit Analysis
  • Example of Mitigation Assessment
  • Issues, short comings, and suggestions

26
COMAP
  • Mitigation Assessment Framework
  • Objective To identify the least expensive way
    of providing forest products and services to the
    country, while reducing the most amount of GHGs
    emitted or increasing carbon sequestered in the
    land use change and forestry sector

27
COMAP Flow Chart
28
Cost-Benefit Analysis
  • Unit Costs and Benefits
  • Monetary, non-monetary and intangible
  • Critical Issues
  • Discount rates
  • Opportunity Cost
  • Multiplier effects (including leakage)

29
Cost-Effectiveness Indicators
  • Initial Cost per ha per tC
  • Present value of cost per ha per tC
  • Net Present Value (NPV) per ha per tC.
  • Benefit of Reducing Atmospheric Carbon (BRAC)
  • The indicator refers to net benefits

30
Cost-Effectiveness Indicators1. Initial Cost
per ha per tC
  • Includes initial costs only.
  • Does not include future discounted investments
    needed during the rotation period.
  • Can provide useful information on the amount of
    resources required at the beginning to establish
    the project.

31
Cost-Effectiveness Indicators2. Present value
of cost per ha per tC
  • The sum of initial cost and the discounted value
    of all future investment and recurring costs
    during the lifetime of the project.
  • For rotation projects, it is assumed that the
    costs of second and subsequent rotations would be
    paid for by revenues from preceding rotations.
  • Also referred to as endowment cost because it
    provides an estimate of present value of
    resources necessary to maintain the project for
    its duration.

32
Cost-Effectiveness Indicators 3. Net Present
Value (NPV) per ha per tC
  • Provides the net discounted value of non-carbon
    benefits to be obtained from the project.
  • For most plantation and managed forests this
    should be positive at a reasonable discount rate.
  • For options such as forest protection, the NPV
    indicator is also positive if indirect benefits
    and forest value are included, both of which are
    subject to controversial evaluation.
  • Different computations are necessary depending on
    scheme of project implementation.

33
Cost-Effectiveness Indicators4. Benefit of
Reducing Atmospheric Carbon (BRAC)
  • This indicator is an estimate of the net benefit
    of reducing atmospheric carbon instead of
    reducing net emissions.
  • It expresses the NPV of a project in terms of the
    amount of atmospheric carbon reduced, taking into
    account the timing of emission reduction and the
    atmospheric residence of the emitted carbon.
  • The formulation of the indicator varies with the
    rate at which economic damage might increase.

34
Macroeconomic Implications
  • 1. Direct Effects
  • Resource Reallocation (local, national,
    international).
  • Changed Output eg timber, beef etc
  • Effect on the price vector
  • 2. Indirect Effects
  • Forward and Backward Linkages
  • Factor employment, multiplier effects
  • 3. External Impacts
  • Imports and Exports
  • balance of payments, etc.

35
Implementation Policies
  • 1. Forestry Policies
  • Forest Protection and Conservation Policies
  • Shared responsibilities and control of resources
  • Timber Harvesting Concessions
  • Tax rebates and incentives for adopting
    efficiency improvements
  • Aggressive afforestation and reforestation
    policies
  • Others policies
  • 2. Non-Forest Policies
  • Land tenure private vs. public ownerships
  • Agricultural and rural development
  • Infrastructural development policies eq. hydro,
    roads,
  • General Taxes, credits, and pricing policies
  • Other policies

36
Barriers and Incentives for Implementation
  • 1. Technical and Personnel Barriers
  • Availability of data
  • Skills
  • 2. Financial and Resource Barriers
  • Competition for funding among sectors
  • competition for resources e.g. land
  • Identification of beneficiaries, cost bearer, etc
  • 3. Institutional and Policy Barriers
  • Land tenure and law
  • Central, regional and local institutions
  • Marketing, pricing, tariffs, quotas, etc

37
COMAP Shortcomings
  • The framework is static
  • Inter-sectoral interactions are not explicitly
    accounted for
  • Focuses on point estimates instead of a range
  • Does not cover the change in ranking of
    Mitigation options at different levels of
    implementation
Write a Comment
User Comments (0)