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Chapter 6: Agriculture

6.1 Sector overview

The agriculture sector emissions totalled 36,866.67 Gg CO2 equivalent and represented 49.4 percent of all greenhouse gas emissions in 2004. Emissions in this sector are now 4,750.08 Gg CO2 equivalent (14.8 percent) higher than the 1990 level of 32,116.58 Gg CO2 equivalent (Figure 6.1.1). The increase is primarily attributable to a 2,161.00 Gg CO2 equivalent (10.0 percent) increase in CH4 emissions from enteric fermentation and a 2,413.64 Gg CO2 equivalent (24.3 percent) increase in N2O emissions from the agricultural soils category.

Figure 6.1.1 Agricultural sector emissions from 1990 to 2004



Gg CO2 equivalent (thousands)































Emissions of CH4 from enteric fermentation dominate the sector producing 64.3 percent of CO2 equivalent emissions in the sector (Figure 6.1.2) and 31.8 percent of New Zealand's total emissions. N2O emissions from agricultural soils are the other major component of the sector comprising 33.4 percent of agricultural CO2 equivalent emissions.

Agriculture is the principal industry of New Zealand and agricultural products are the predominant component of exports. This is due to several factors: the favourable temperate climate, the abundance of agricultural land and the unique farming practices used in New Zealand. These practices include the extensive use of year-round grazing systems and a reliance on nitrogen fixation by legumes rather than nitrogen fertiliser.

Figure 6.1.2 Emissions from the agricultural sector in 2004 (all figures Gg CO2 equivalent)


Gg CO2 equivalent

Percent of total

Field Burning of Agricultural Residues



Enteric Fermentation



Manure Management



Agricultural Soils



Prescribed Burning of Savannas



Since 1984, there have been changes in the balance of livestock species. There has been a trend for increased dairy and deer production due to prevailing good world prices. This has been counterbalanced by land coming out of sheep production and consequently decreased sheep numbers. Beef numbers have remained relatively static. There have also been productivity increases across all major animal species and classes. The land area used for horticulture has not changed significantly since 1990 although the types of produce grown have changed with less grain but more vegetables, fruit and grapes for wine production. There has also been an expansion of the land used for plantation forestry.

New Zealand uses a June year for all animal statistics and reports a rolling three-year average in the inventory. The June year reflects the natural biological cycle for animals in the southern hemisphere. To maintain consistency, a single livestock population characterisation is used as the framework for estimating CH4 emissions from enteric fermentation, CH4 and N2O emissions from manure management and N2O emissions from animal production. A complete time-series of the agriculture data are shown in Annex 8.4 and information on livestock population census and survey procedures are included in Annex 3.1.

6.2 Enteric fermentation (CRF 4A)

6.2.1 Description

In 2004, emissions from enteric fermentation comprised 23,714.98 Gg CO2 equivalent. This represents 31.8 percent of New Zealand's total CO2 equivalent emissions and is the largest single category of emissions in the New Zealand inventory. The category is dominated by emissions from cattle (dairy and non-dairy) which represent 58.5 percent of emissions from enteric fermentation. The current level of emissions from enteric fermentation is 10.0 percent above the 1990 level, however there have been large changes within the category. The largest increase has been in emissions from dairy cattle which have increased 69.3 percent since 1990. This increase has been offset by decreases in emissions from sheep (-17.6 percent) and minor livestock populations such as goats horses and swine.

CH4 is produced as a by-product of digestion in ruminants, eg, cattle, and some non-ruminant animals such as swine and horses. Ruminants are the largest source of CH4 as they are able to digest cellulose. The amount of CH4 released depends on the type, age and weight of the animal, the quality and quantity of feed and the energy expenditure of the animal.

CH4 emissions from enteric fermentation have been identified as the largest key category for New Zealand in the level assessment (excluding LULUCF). In accordance with good practice (IPCC, 2001), the methodology for estimating CH4 emissions from enteric fermentation in domestic livestock was revised to a Tier 2 modelling approach for the 2001 inventory. All subsequent inventories have used this Tier 2 approach.

6.2.2 Methodological issues

New Zealand's methodology uses a detailed livestock population characterisation and livestock productivity data to calculate feed intake for the four largest categories in the New Zealand ruminant population (dairy cattle, beef cattle, sheep and deer). The amount of CH4 emitted is calculated using CH4 emissions per unit of feed intake (figure 6.2.1). The calculation process is explained in the full description of the Tier 2 approach in Annex 3.1 and Clark et al, (2003).

There has been a gradual increase in the implied emission factors for dairy cattle and beef cattle from 1990 to 2004. This is to be expected because the methodology is able to use animal performance data that reflects the increased levels of productivity achieved by New Zealand farmers since 1990. Increases in animal weight and animal performance (milk yield) require increased feed intake by the animal to meet energy demands. Increased feed intake produces increased CH4 emissions per animal. The increases in productivity are shown in the agricultural worksheets in Annex 8.4 and in the detailed description in Annex 3.1.

Figure 6.2.1 Schematic of New Zealand's enteric methane calculation methodology

6.2.3 Uncertainties and time-series consistency

Animal numbers

Many of the calculations in this sector require livestock numbers. Both census and survey methods are used with surveys occurring in the intervening years between each census. Detailed information from Statistics New Zealand on the census and survey methods is included in Annex 3.1.2.

Methane emissions from enteric fermentation

In the 2001 inventory, the CH4 emissions data from domestic livestock in 1990 and 2001 were subjected to Monte Carlo analysis using the software package @RISK to determine the uncertainty of the annual estimate (Clark et al., 2003; Table 6.2.1). For the 2004 inventory, the uncertainty in the annual estimate was calculated using the 95 percent confidence interval determined from the Monte Carlo simulation as a percentage of the mean value, ie, in 2001, the uncertainty in annual emissions was ± 53 percent.

The overall inventory uncertainty analysis shown in Annex 7 (Good Practice Table 6.1) demonstrates that the uncertainty in annual emissions from enteric fermentation is 12.0 percent of New Zealand's total emissions and removals for 2004, and is the largest single component affecting the national total. However in the trend from 1990 to 2004, the uncertainty from enteric fermentation is only 1.9 percent of the trend in emissions and removals. The uncertainty between years is assumed to be correlated, therefore the uncertainty is mostly in the emission factors and the uncertainty in the trend is much lower than uncertainty for an annual estimate.

Table 6.2.1 Uncertainty in the annual estimate of enteric methane emissions 1990, 2001 and 2004 and the 95 percent confidence interval (± 1.96 standard deviations from the mean) estimated using Monte Carlo simulation

Year Enteric CH4 emissions (Gg/annum) 95% CI Min 95% CI Max













Note: The methane emissions used in the Monte Carlo analysis exclude those from swine and horses.

Uncertainty in the annual estimate is dominated by variance in the measurements used to determine the 'CH4 per unit of intake' factor. For the measurements made of this factor, the standard deviation divided by the mean is equal to 0.26. This uncertainty is thought to be mostly natural variation from one animal to the next. Uncertainties in the estimation of energy requirements, herbage quality and population data are thought to be much smaller (0.005-0.05), so these variables play a much smaller role.

6.2.4 Source-specific QA/QC and verification

CH4 emission rates measured for 20 selected dairy cows scaled up to a herd have been corroborated using micrometeorological techniques. Laubach and Kelliher (2005) used the integrated horizontal flux (IHF) technique and the flux gradient technique to measure CH4 flux above a dairy herd. Both techniques are comparable, within estimated errors, to scaled-up animal emissions. The emissions from the cows measured by IHF and averaged over three campaigns are 329 (±153) g CH4/day/cow compared to 365 (± 61) g CH4/day/cow for the scaled-up measurements reported by Waghorn et al. (2002) and Waghorn et al. (2003).

6.2.5 Source-specific recalculations

The provisional livestock population data for 2004 was updated to final population numbers, and the corresponding three-year average populations for 2002, 2003 and 2004 updated.

6.2.6 Source-specific planned improvements

A national inter-institutional ruminant CH4 expert group was formed to identify the key strategic directions for research into the CH4 inventory and mitigation, and to develop a collaborative approach to improve the certainty of CH4 emissions. This is funded through the Ministry of Agriculture and Forestry. A private sector funded Pastoral Greenhouse Gas Research Consortium has been established to carry out research primarily into mitigation technologies and management practices but also on-farm inventory considerations. The implementation of the Tier 3 approach for CH4 emissions from enteric fermentation and manure management is a consequence of the research conducted by the expert group and continues to be improved. Validation of the SF6 technique is also occurring through intercomparison with calorimeter estimates through collaborative research between Australian and New Zealand scientists.

6.3 Manure management (CRF 4B)

6.3.1 Description

Emissions from the manure management category comprised 809.38 Gg CO2 equivalent (2.2 percent) of emissions from the agriculture sector.

Livestock manure is composed principally of organic material. When the manure decomposes in the absence of oxygen, methanogenic bacteria produce CH4. The emissions of CH4 are related to the amount of manure produced and the amount that decomposes anaerobically. CH4 from manure management has been identified as a key category for New Zealand in the 2004 level assessment (Table 1.5.2).

This category also includes emissions of N2O related to manure handling before the manure is added to the soil. The amount of N2O released depends on the system of waste management and the duration of storage. With New Zealand's extensive use of all year round grazing systems, this category is relatively small at 63.50 Gg CO2 equivalent of N2O in 2004. In comparison, agricultural soil emissions of N2O totalled 12,326.45 Gg CO2 equivalent.

6.3.2 Methodological issues


Methane emissions from ruminant animal wastes in New Zealand have been recalculated using an IPCC Tier 2 approach. This replaces the Tier 1 approach used in previous inventory submissions. The methodology adopted is based on the methods recommended by Saggar et al (2003) in a review commissioned by the Ministry of Agriculture and Forestry.

The approach is based on (1) an estimation of the total quantity of faecal material produced, (2) the partitioning of this faecal material between that deposited directly onto pastures and that stored in anaerobic lagoons and (3) the development of specific New Zealand emission factors for the quantity of methane produced per unit of faecal dry matter produced.

The quantity of faecal dry matter produced is calculated by multiplying the feed intake by the dry matter digestibility of the feed. The feed intake estimates and dry matter digestibility's are the same as in the current enteric methane and nitrous oxide inventories.

In New Zealand only dairy cows have a fraction (5 percent) of the excreta stored in an anaerobic lagoon waste system. The remaining 95 percent of excreta from dairy cattle is deposited directly on pasture. All other ruminant species (sheep, beef cattle, deer and goats) deposit all faecal material directly onto pastures. Values for the quantity of CH4 produced per unit of faecal dry matter deposited on pastures for cattle are obtained from New Zealand research by Saggar et al, 2003 and Sherlock et al, 2003. The value for sheep comes from a New Zealand study by Carran et al, 2003. The mean of cattle and sheep values is used for deer so as no values for deer are available. Methane emissions from anaerobic lagoons are estimated using a water dilution rate (Heatley 2001), the average depth of a lagoon and the emissions data from lagoons (McGrath and Mason 2002).

Table 6.3.1 Derivation of methane emissions from manure management

Animal species Proportion of faecal material deposited on pasture CH4 from animal waste on pastures (g CH4/kg faecal dry matter) Proportion of faecal material stored in anaerobic lagoons Water dilution rate (litres water/kg faecal dry matter) Average depth of a lagoon (metres) CH4 from anaerobic lagoon(g CH4/M2/year)

Dairy Cattle







Beef Cattle





















New Zealand specific emissions factors are not available for CH4 emissions from manure management for swine, horses and poultry. These are minor livestock categories in New Zealand and emissions estimates for these species use IPCC default emission factors (refer to the agricultural worksheets in Annex 8.4).

Nitrous oxide

For the N2O calculation, six alternative regimes for treating animal manure, known as animal waste management systems (AWMS) are identified in the 1996 IPCC Guidelines. New Zealand farming uses four AWMS; (1) anaerobic lagoons, (2) pasture, range and paddock, (3) solid storage and dry-lot, and (4) other systems (poultry without bedding and swine deep litter). With the exception of dairy cattle, animals were allocated to the different AWMS according to the information provided in the IPCC 1996 guidelines for the Oceania region as Ministry of Agriculture and Forestry considered these were applicable to New Zealand farming practices. For dairy cattle, New Zealand specific data from Ledgard and Brier (2004) was used.

The "pasture, range and paddock" AWMS is the predominant regime for animal waste in New Zealand. All sheep, goats, deer and non-dairy cattle excreta are allocated to the pasture, range and paddock AWMS. For dairy cattle, 95 percent of excreta is allocated to pasture, range and paddock and 5 percent is allocated to anaerobic lagoons. Emissions from the &pasture, range and paddock" AWMS are reported in the "Agricultural soils" category.

The calculation for nitrogen in each animal waste management system is shown in the agricultural worksheets in Annex 8.4. A time series of nitrogen excreta (Nex) values used for calculating animal production N2O emissions is also shown in the worksheets in Annex 8.4. The Nex values show an increase over time reflecting the increases in animal production. The nutrient input/output model OVERSEER® (Wheeler et al., 2003) is used to determine the annual quantities of nitrogen deposited in excreta by grazing animals. The OVERSEER® model uses the same animal populations and feed intake from the Tier 2 model used to determine methane emissions (Clark et al., 2003), and an assessment of feed nitrogen content modified by farm type.

6.3.3 Uncertainties and time-series consistency

Emission factors from manure and manure management systems, the livestock population, nitrogen excretion rates and the usage of the various manure management systems are the main factors causing uncertainty in N2O emissions from manure management (IPCC, 2000). New Zealand uses the IPCC default values for EF3 (direct emissions from waste) for all AWMS except for EF3PRP (manure deposited on pasture, range and paddock). The value of EF3PRP which is a country-specific factor is 0.01 kg N2O-N/kg N. The IPCC default values have uncertainties of -50 percent to +100 percent (IPCC, 2000).

The overall inventory uncertainty analysis shown in Annex 7 (Good Practice Table 6.1) demonstrates that the effect of uncertainty in annual emissions from manure management is relatively minor compared to the effect from CH4 emissions from enteric fermentation and N2O from agricultural soils.

6.3.4 Source-specific QA/QC and verification

Methane from manure management was identified as a key category for New Zealand in the 2003 inventory. In preparation of the 2004 inventory, the data for this category underwent a Tier 1 quality check (refer Annex 6 for examples).

6.3.5 Source-specific recalculations

Methane from manure management is a key category. To ensure consistency with good practice, the methodology was upgraded to a Tier 2 approach for the 2004 inventory. The entire time series (1990-2004) has been recalculated.

6.3.6 Source-specific planned improvements, if applicable

No source specific improvements are planned during 2006.

6.4 Rice cultivation (CRF 4C)

6.4.1 Description

There is no rice cultivation in New Zealand. The 'NO' notation is reported in the CRF.

6.5 Agricultural soils (CRF 4D)

6.5.1 Description

The agricultural soils category is the category of the majority of N2O emissions in New Zealand comprising 12,326.45 Gg CO2 equivalent in 2004. Emissions are 2,413.64 Gg CO2 equivalent (24.3 percent) over the level in 1990. The category comprises three sub-categories:

  • direct N2O emissions from animal production (the pasture, range and paddock AWMS)
  • indirect N2O from nitrogen lost from the field as NOx or NH3
  • direct N2O emissions from agricultural soils as a result of adding nitrogen in the form of synthetic fertilisers, animal waste, biological fixation, inputs from crop residues and sewage sludge.

All of these sub-categories have been identified as key categories for New Zealand (Tables 1.5.2 and 1.5.3). Direct soil emissions from animal production is the third largest key category comprising 7,248.77 Gg CO2 equivalent, indirect N2O from nitrogen used in agriculture comprised 3,271.38 Gg CO2 equivalent and direct N2O emissions from agricultural soils comprised 1,806.29 Gg CO2 equivalent.

CO2 emissions from limed soils are reported in the LULUCF sector.

6.5.2 Methodological issues

N2O emissions are determined using the IPCC 1996 approach where emission factors dictate the fraction of nitrogen deposited on the soils that is emitted into the atmosphere as N2O. The two main inputs in New Zealand are from nitrogen fertiliser and the excreta deposited during animal grazing.

The worksheets for the agricultural sector (Annex 8.4) document the emission factors and other parameters used in New Zealand's calculations. Three New Zealand specific factors/parameters have been used: EF1, EF3(PR&P) and FracLEACH. The EF3(PR&P) emission factor and FracLEACH were extensively reviewed for the 2001 submission, and a new value for FracLEACH was used from the 2001 inventory onwards and back-calculated to 1990. Data on EF1 was reviewed during 2006 and the recommendation by Kelliher and de Klein (2006) to use a country-specific factor of 1 percent has been adopted.

Animal production (N2O)

Direct soil emissions from animal production refers to the N2O produced from the pasture, range and paddock AWMS. This AWMS is the predominant regime for animal waste in New Zealand as 95 percent of dairy cattle and 100 percent of sheep, deer and non-dairy cattle are allocated to it. The emissions calculation is based on the livestock population multiplied by nitrogen excretion (Nex) values and the percentage of the population on the pasture, range and paddock AWMS. The Nex and allocation to AWMS are discussed in section 6.3.2 nitrous oxide. The Nex values have been calculated using the model OVERSEER® (Wheeler et al., 2003)based on the same animal intake values used for calculating CH4 emissions for the different animal classes and species. This ensures that the same base values are used for both CH4 and N2O emission calculations.

New Zealand uses a country-specific emission factor for EF3(PRP) of 0.01 (Carran et al, 1995., Muller et al, 1995; de Klein et al, 2003 and Kelliher et al, 2003). Considerable research effort has gone into establishing a country-specific value for EF3(PRP)). Field studies have been performed as part of a collaborative research effort called NzOnet. The parameter EF3(PRP) has been measured by NzOnet researchers in the Waikato (Hamilton), Canterbury (Lincoln) and Otago (Invermay) regions for pastoral soils of different drainage class (de Klein et al, 2003). These regional data are comparable because the same measurement methods were used at the three locations. The percentage of applied nitrogen (as urine or dung) emitted as N2O, and environmental variables, were measured in three separate trials that began in autumn 2000, summer 2002, and spring 2002. Measurements were carried out for up to 250 days or until urine treated pasture measurements dropped back to background emission levels.

Kelliher et al (2003) assessed all available EF3(PRP) data, its distribution with respect to pastoral soil drainage class, to determine an appropriate national, annual mean value. The complete EF3(PRP) data set of NzOnet was synthesised using the national assessment of pastoral soils drainage classes. This study recognises that (1) environmental (climate) data are not used to estimate N2O emissions using the IPCC 1996 methodology, (2) the N2O emission rate can be strongly governed by soil water content, (3) soil water content depends on drainage that can moderate the effects of rainfall and drought, and (4) as a surrogate for soil water content, drainage classes of pastoral soils can be assessed nationally using a geographic information system. In New Zealand, earlier analysis showed the distribution of drainage classes for pasture land is highly skewed with 74 percent well-drained, 17 percent imperfectly drained and 9 percent poorly drained (Sherlock et al, 2001).

The research and analysis to date indicates that if excreta is separated into urine and dung components, EF3 for urine and dung could be set to 0.007 and 0.003, respectively. However, it is recognised that the dung EF3 data are limited. Research by NzOnet is continuing into the possibility of separate emission factors for dung and urine. Combining urine and dung EF3 values, the dairy cattle total excreta EF3 is 0.006. Conservatively rounding the total excreta EF3 of 0.006 provides a country-specific value of 0.01 for EF3(PRP). The IPCC default value of EF3(PRP) is 0.02.

Indirect N2O from nitrogen used in agriculture

The N2O emitted indirectly from nitrogen lost from agricultural soils through leaching and run-off is shown in the agricultural worksheets in Annex 8.4. This nitrogen enters water systems and eventually the sea with quantities of N2O being emitted along the way. The amount of nitrogen that leaches is a fraction that is deposited or spread on land (FracLEACH).

Research studies in New Zealand together with a literature review have shown lower rates of nitrogen leaching than is suggested in the IPCC guidelines. In inventories reported prior to 2003, a New Zealand parameter for FracLEACH of 0.15 was used. However, IPCC based estimates for different farm systems were found on average to be 50 percent higher than those estimated using the OVERSEER® (Wheeler et al., 2003) nutrient budgeting model. The model provides average estimates of the fate of N for a range of pastoral, arable and horticultural systems. In pastoral systems, N leaching is determined by the amount of N in fertiliser, dairy farm effluent and that excreted in urine and dung by grazing animals. The latter is calculated from the difference between N intake by grazing animals and N output in animal products, based on user inputs of stocking rate or production and an internal database with information on the N content of pasture and animal products. The IPCC estimates were closer for farms using high rates of N fertiliser, indicating that the IPCC based estimates for N leaching associated with animal excreta were too high. When the IPCC methodology was applied to field sites where N leaching was measured (four large scale, multi-year animal grazing trials) it resulted in values that were double the measured values. This indicated that a value of 0.07 for FracLEACH more closely followed actual field emissions (Thomas et al, 2005) and this value was adopted and used for all years as it reflects New Zealand's national circumstances.

Direct N2O emissions from agricultural soils

Direct emissions from agricultural soils are calculated in the five tables of worksheet 4.5.

The emissions arise from synthetic fertiliser use, spreading animal waste as fertiliser, nitrogen fixing in soils by crops and decomposition of crop residues left on fields. All of the nitrogen inputs are collected together and an emissions factor applied to calculate total direct emissions from non-organic soils.

Nitrogen fertiliser use is determined by the Zealand Fertiliser Manufacturers' Research Association (FertResearch) from sales records for 1990 to 2004. A rolling three year average is used to calculate inventory data. There has been a six fold increase in nitrogen fertiliser use over the time series, from 51,787 tonnes in 1990 to 310,716 tonnes in 2004. The calculation of N2O that is emitted indirectly through synthetic fertiliser and animal waste being spread on agricultural soils is shown in the agricultural worksheets in Annex 8.4. Some of the nitrogen contained in these compounds is emitted into the atmosphere as ammonia (NH3) and nitrogen oxides (NOx)through volatilisation, which returns to the ground during rainfall and is then re-emitted as N2O. This is shown as an indirect emission of N2O.

The calculation for animal waste includes all manure that is spread on agricultural soils irrespective of which AWMS it was initially stored in. This includes all waste in New Zealand except for emissions from the pasture range and paddock AWMS. New Zealand uses a country-specific value for EF1 of 0.01 kg N2O-N/kg N (Kelliher and de Klein, 2006).

Direct N2O emissions from organic soils are calculated by multiplying the area of cultivated organic soils by an emission factor. Recent analysis identified 202,181 hectares of organic soils of which it is estimated that 5 percent (ie, 10,109 ha) are cultivated on an annual basis (Kelliher et al, 2003). New Zealand uses the IPCC default emissions factor (EF2 equal to 8 kg N2O-N/kg N) for all years of the time-series.

6.5.3 Uncertainties and time-series consistency

Uncertainties in N2O emissions from agricultural soils are assessed for the 1990, 2001 and 2002 inventory using a Monte Carlo simulation of 5000 scenarios with the @RISK software (Kelliher et al., 2003) (Table 6.5.1). The emissions distributions are strongly skewed reflecting that of pastoral soil drainage whereby 74 percent of soils are classified as well-drained, while only 9 percent are classified as poorly drained. For the 2004 inventory, the uncertainty in the annual estimate was calculated using the 95 percent confidence interval determined from the Monte Carlo simulation as a percentage of the mean value, ie, in 2002, the uncertainty in annual emissions was + 74 percent and -42 percent.

Table 6.5.1 Uncertainties in N2O emissions from agricultural soils for 1990, 2002 and 2004 estimated using Monte Carlo simulation (1990, 2002) and the 95 percent CI (2004)

Year N2O emissions from agricultural soils (Gg/annum) 95% CI Min 95% CI Max













The overall inventory uncertainty analysis shown in Annex 7 (Good Practice Table 6.1) demonstrates that the uncertainty in annual emissions from agricultural soils is a major contributor to uncertainty in the total estimate and trend from 1990. The uncertainty between years is assumed to be correlated, therefore the uncertainty is mostly in the emission factors and the uncertainty in the trend is much lower than uncertainty for an annual estimate. Uncertainty in the N2O emissions contributes 9.1 percent of the uncertainty in New Zealand's total emissions and removals in 2004 and 1.2 percent to the trend in emissions and removals from 1990-2004.

The Monte Carlo numerical assessment was also used to determine the effects of variability in the nine most influential parameters on uncertainty of the calculated N2O emissions in 1990 and 2001. These parameters are shown in Table 6.5.2 together with their percentage contributions to the uncertainty. There was no recalculation of the influence of parameters for the 2004 inventory. The Monte Carlo analysis confirmed that uncertainty in parameter EF3(PRP) has the most influence on total uncertainty accounting for 91 percent of the uncertainty in total N2O emissions in 1990. This broad uncertainty reflects natural variance in EF3 determined largely by the vagaries of the weather and soil type.

Table 6.5.2 Percentage contribution of the nine most influential parameters on the uncertainty of total N2O emissions inventories for 1990 and 2001

Parameter 1990 2001
  % contribution to uncertainty % contribution to uncertainty







Sheep Nex






Dairy Nex









Beef Nex






6.5.4 Source-specific QA/QC and verification

The nitrogen fertiliser data obtained from FertResearch are corroborated by the Ministry of Agriculture and Forestry using N imports and exports, urea production figures and industrial applications (including resin manufacture for timber processing) data.

6.5.5 Source-specific recalculations

Nitrous oxide from agricultural soils is a key category. To ensure consistency with good practice, the EF1 emission factor was changed to a country-specific emission factor of 1 percent. The agricultural soils category has therefore been recalculated for the entire time-series (1990-2004).

6.5.6 Source-specific planned improvements

The work of NzOnet will continue in order to better quantify N2O emission factors for New Zealand's pastoral agriculture.

6.6 Prescribed burning of Savanna (CRF 4E)

6.6.1 Description

Prescribed burning of savanna is not a key category for New Zealand. The New Zealand inventory includes burning of tussock (Chionochloa) grassland in the South Island for pasture renewal and weed control. The amount of burning has been steadily decreasing since 1959 as a result of changes in lease tenure and a reduction in grazing pressure. In 2004, total emissions accounted for 0.82 Gg CO2 equivalent - a 2.51 Gg CO2 equivalent (75.4 percent) reduction from the 3.33 Gg CO2 equivalent reported in 1990.

The IPCC Guidelines (1996) state that in agricultural burning, the CO2 released is not considered to be a net emission as the biomass burned is generally replaced by regrowth over the subsequent year. Therefore the long term net emissions of CO2 are considered to be zero. However the by-products of incomplete combustion, CH4, CO, N2O and NOx, are net transfers from the biosphere to the atmosphere.

6.6.2 Methodological issues

New Zealand has adopted a modified version of the IPCC methodology (IPCC, 1996). The same five equations are used to calculate emissions however instead of using total grassland and a fraction burnt, New Zealand uses statistics of the total amount of tussock grassland that has been granted a consent (a legal right) under New Zealand's Resource Management Act (1991) for burning. Only those areas with a consent are legally allowed to be burned. Expert opinion obtained from land managers in local government is that approximately 20 percent of the area allowed to be burnt is actually burnt in a given year.

Current practice in New Zealand is to burn in damp spring conditions which reduces the amount of biomass consumed in the fire. The composition and burning ratios used in calculations are from New Zealand specific research (Payton and Pearce, 2001) and the IPCC reference manual (1996).

6.6.3 Uncertainties and time-series consistency

The same sources of data and emission factors are used for all years. This gives confidence in comparing emissions through the time-series from 1990 and 2004. The major sources of uncertainty are the percentage of consented area actually burnt in that season, that biomass data from two study sites are extrapolated for all areas of tussock, and that many of the other parameters (ie, the carbon content of the live and dead components, the fraction of the live and dead material that oxidise and the N:C ratio for the tussocks) are the IPCC default values. Uncertainty in the New Zealand biomass data has been quantified at ±6 percent (Payton and Pearce, 2001), however many IPCC parameters vary by ±50 percent and some parameters lack uncertainty estimates.

6.6.4 Source-specific QA/QC and verification

There was no source-specific QA/QC for this category.

6.6.5 Source-specific recalculations

There were no recalculations for the 2004 inventory.

6.7 Field burning of agricultural residues (CRF 4F)

6.7.1 Description

Burning of agricultural residues produced 15.04 Gg CO2 equivalent in 2004. Emissions are currently 10.19 Gg CO2 equivalent lower (-40.4 percent) than the level of 25.24 Gg CO2 equivalent in 1990. Burning of agricultural residues is not identified as a key category for New Zealand.

New Zealand reports emissions from burning barley, wheat and oats residue in this category. Maize residue is not burnt in New Zealand. New Zealand uses three-year averages of crop production in combination with the IPCC default emission ratios and residue statistics. Oats are included under the same emission factors as barley.

Burning of crop residues is not considered to be a net source of CO2 because the CO2 released into the atmosphere is reabsorbed during the next growing season. However, the burning is a source of emissions of CH4, CO, N2O and NOx (IPCC, 1996). Burning of residues varies between years due to climatic conditions and is becoming a declining source.

6.7.2 Methodological issues

The emissions from burning of agricultural residues are estimated in accordance with the IPCC guidelines (IPCC, 1996). The calculation uses crop production statistics, the ratio of residue to crop product, the dry matter content of the residue, the fraction of residue actually burned, the fraction of carbon oxidised and the carbon fraction of the residue (Annex 8.4). These figures are multiplied to calculate the carbon released. The emissions of CH4, CO, N2O and NOx are calculated using the carbon released and an emissions ratio. N2O and NOx emissions calculations also use the nitrogen to carbon ratio.

Good practice suggests that an estimate of 10 percent of residue burnt may be appropriate for developed countries but also notes that the IPCC defaults "are very speculative and should be used with caution. The actual percentage burned varies substantially by country and crop type. This is an area where locally developed, country-specific data are highly desirable."(IPCC, 2001). For the years 1990 to 2003 it is estimated that 50 percent of stubble is burnt. For the year 2004 experts assessed this percentage dropped to 30 percent. These figures are developed from expert opinion of the Ministry of Agriculture and Forestry officials working with the arable production sector.

6.7.3 Uncertainties and time-series consistency

No numerical estimates for uncertainty are available for these emissions. The fraction of agricultural residue burned in the field is considered to make the largest contribution to uncertainty in the estimated emissions.

6.7.4 Source-specific QA/QC and verification

There was no source-specific QA/QC for this category.

6.7.5 Source-specific recalculations

There are no recalculations for this category.