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Box 2.2.9: Estimating carbon gains and losses from logging 2100

A model that illustrates the fate of live biomass and subsequent CO2 emissions 2101

when a forest is selectively logged is shown below.

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from active logging concessions). The regrowth factor or rate accounts for a gain in 2119

carbon resulting from the regeneration of new trees to fill the gap and potential 2120

enhanced growth of residual trees. The regrowth rate can only be applied to the 2121

area of gaps and a relatively narrow zone extending into the forest around the gap 2122

that would likely benefit from additional light and not to the total area under 2123

logging. The quantities in (1) above can be expressed on an area basis (i.e., t 2124

C/ha) or on a m3 of extracted timber per ha.

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(2)

C

deadbiomass

  C

dead,loggingdamage

WoodDecomp ositionFac tor

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In areas undergoing selective logging, dead wood cannot be ignored because 2127

logging increases the size of this pool. The change in the dead wood pool should 2128

be estimated to account for decomposition that occurs over time. Research has 2129

shown that dead wood decomposes relatively slowly in tropical forests and hence 2130

this pool has a long turnover time. The damaged wood is assumed to enter the 2131

dead wood pool, where it starts to decompose, and each year more dead wood is 2132

added from harvesting, but each year some is lost because of decomposition and 2133

resulting emissions of carbon. Decomposition of dead wood is modeled as a simple 2134

exponential function based on mass of dead wood and a decomposition coefficient 2135

(proportion decomposed per year that can range from about <0.05 to 0.15 per 2136

year).

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(3)

C

woodproducts

  C

timberextraction

proportion

woodproducts

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Not all of the decrease in live biomass due to logging is emitted to the atmosphere 2139

as a carbon emission because a relatively large fraction of the harvested wood 2140

goes into long term wood products. However, even wood products are not a 2141

permanent storage of carbon—some of it goes into products that have short lives 2142

(some paper products), some turns over very slowly (e.g. construction timber and 2143

furniture), but all is eventually disposed of by burning, decomposition or buried in 2144

landfills.

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In addition to quantifying the changes in Eq. 1, two other pieces of information are 2146

needed to fully estimate the total net emissions of CO2—these are the amount of 2147

timber extracted per unit area per year and the total area logged per year. Total 2148

emissions are then estimated as the product of total change in carbon stocks (from 2149

Eq.1), the timber extraction rate and the total area logged.

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Creating a national look-up table 2151

A cost-effective method for Approach A and Approach B stratifications may be to create 2152

a ―national look-up table‖ for the country that will detail the carbon stock in each 2153

selected pool in each stratum. Look-up tables should ideally be updated periodically to 2154

account for changing mean biomass stocks due to shifts in age distributions, climate, 2155

and or disturbance regimes. The look up table can then be used through time to detail 2156

the pre-deforestation or degradation stocks and estimated stocks after deforestation and 2157

degradation. An example is given in Box 2.2.10.

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Box 2.2.10: A national look up table for deforestation and degradation 2161

The following is a hypothetical look-up table for use with approach A or approach B 2162

stratification. We can assume that remote sensing analysis reveals that 800 ha of 2163

lowland forest were deforested to shifting agriculture and 500 ha of montane forest 2164

were degraded. Using the national look-up table results in the following:

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The loss for deforestation would be 2166

154 t C/ha – 37 t C/ha = 117 t C/ha x 800 ha =93,600 t C.

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The loss for the degradation would be 2168

130 t C/ha – 92 t C/ha = 38 t C/ha x 500 ha =19,000 t C 2169

(Note that degradation will often have been caused by harvest and therefore 2170

emissions will be decreased if storage in long-term wood products, rather than by 2171

fuelwood extraction, was included—that is the harvested wood did not enter the 2172

atmosphere.) 2173

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2.3 ESTIMATION OF SOIL CARBON STOCKS

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Tim Pearson, Winrock International, USA 2179

Nancy Harris, Winrock International, USA 2180

David Shoch, The Nature Conservancy, USA 2181

Sandra Brown, Winrock International, USA 2182

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Florian Siegert, Universitry of Munich, Germany 2184

Hans Joosten, Wetlands International, The Netherlands 2185

2.3.1 Scope of chapter

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Chapter 2.3 presents guidance on the estimation of the organic carbon 2187

component of soil of the forests being deforested and degraded. Guidance is 2188

provided on: (i) which of the three IPCC Tiers to be used, (ii) potential methods 2189

for the stratification by Carbon Stock of a country’s forests and (iii) actual 2190

Estimation of Carbon Stocks of Forests Undergoing Change.

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IPCC AFOLU divides soil carbon into three pools: mineral soil organic carbon, organic soil 2192

carbon, and mineral soil inorganic carbon. The focus in this section will be on only the 2193

organic carbon component of soil.

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In Section 2.3.2 explanation is provided on IPCC Tiers for soil carbon estimates.

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In Section 2.3.3 the focus is on how to generate a good Tier 2 analysis for soil carbon.

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In Section 2.2.4 guidance is given on the estimation of emissions as a result of land use 2198

change in peat swamp forests.

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2.3.2 Explanation of IPCC Tiers for soil carbon estimates

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For estimating emissions from organic carbon in mineral soils, the IPCC AFOLU 2202

recommends the stock change approach but for organic carbon in organic soils such as 2203

peats, an emission factor approach is used (Table 4.5). For mineral soil organic carbon, 2204

departures in carbon stocks from a reference or base condition are calculated by 2205

applying stock change factors (specific to land-use, management practices, and inputs 2206

[e.g. soil amendment, irrigation, etc.]), equal to the carbon stock in the altered condition 2207

as a proportion of the reference carbon stock. Tier 1 assumes that a change to a new 2208

equilibrium stock occurs at a constant rate over a 20 year time period. Tiers 2 and 3 2209

may vary these assumptions, in terms of the length of time over which change takes 2210

place, and in terms of how annual rates vary within that period. Tier 1 assumes that the 2211

maximum depth beyond which change in soil carbon stocks should not occur is 30 cm;

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Tiers 2 and 3 may lower this threshold to a greater depth.

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Tier 1 further assumes that there is no change in mineral soil carbon in forests remaining 2214

forests. Hence, estimates of the changes in mineral soil carbon could be made for 2215

deforestation but are not needed for degradation. Tiers 2 and 3 allow this assumption to 2216

change. In the case of degradation, the Tier 2 and 3 approaches are only recommended 2217

for intensive practices that involve significant soil disturbance, not typically encountered 2218

in selective logging. In contrast, selective logging of forests growing on organic carbon 2219

soils such as the peat-swamp forests of South East Asia could result in large emissions 2220

caused by practices such as draining to remove the logs from the forest (see Section 2221

2.3.3 for further details on this topic).

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Table 2.3.1: IPCC guidelines on data and/or analytical needs for the different 2223

Tiers for soil carbon changes in deforested areas.

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Soil carbon

pool Tier 1 Tier 2 Tier 3

Organic