Narration: In this presentation you will learn about the methods available for measuring and
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2 Narration: In this presentation you will learn about the methods available for measuring and monitoring forest carbon pools in the field. You will learn about indirect methods for aboveground tree biomass, direct methods for aboveground tree biomass, destructive sampling, allometric equations, and methods for other components such as litter, soil and non-woody biomass. 2
3 Narration: The presentation is divided into five sections. 3
4 Narration: The IPCC Good Practice Guidance for Land Use, Land-Use Change and Forestry defines five carbon pools, in three groups, for measuring and monitoring purposes: Group 1: Living biomass. This group includes above-ground tree and non-tree biomass and belowground biomass, or roots. Group 2: Dead organic matter. This group includes dead wood and litter. Group 3: Soil organic carbon. This group includes soil carbon. 4
5 Narration: You can find several guide books and manuals that offer a detailed description of different methods for measuring and monitoring carbon pools. 5
6 Narration: In stratification the total area to be measured is divided into homogeneous units. Stratification allows researchers to obtain precise estimations at a lower cost than without stratification. First, the area is divided into homogenous groups. Then monitoring, including sampling and calculations, is applied to each strata separately and the results are compiled at the end. Potential stratification options include: Land use, such as forest, plantation, agroforestry, grassland, cropland, or irrigated cropland; Vegetation species if there are several Slope, whether it is steep or flat Drainage, whether it is flooded or dry The age of the vegetation The proximity to settlement. Typically, a project might have between one and six strata. 6
7 Narration: You can calculate the sample size, or number of plots, by using this equation. To calculate number of plots without the equation, use the following steps. Step 1: Identify the desired precision level. Step 2: Identify an area to collect preliminary data. For example, if the activity is to afforest agricultural lands and will last for 20 years, then an estimate of the carbon stocks in the trees of about six to 10 plots within an existing 15 to 20-year-old forest will be enough. Step 3: Estimate carbon stock, standard deviation and variance from the preliminary data. Step 4: Calculate the required number of plots. An online tool for calculating the number of plots is available at: 7
8 Narration: As a general rule, permanent plots for measuring and monitoring forest carbon pools should be established. Permanent plots are statistically more efficient for estimating changes in forest carbon stocks than are temporary plots. Plots ofvarying sizes and shapes can be used. The size and shape of the sample plots is a trade-off between accuracy, precision, time and cost for measurement. There are two types of plots; single plots of a fixed size, and nested plots containing smaller subunits of various shapes and sizes. Single plots may be preferred for systems with low variability, such as single species plantations. Nested plots are a practical design for sampling for recording discrete size classes of stems. They are well-suited to stands with a wide range of tree diameters or to stands with changing diameters and stem densities. 8
9 Narration: You can estimate tree biomass using either direct methods or indirect methods. Direct methods involve destructive sampling, where sample trees are felled and the biomass of its components is measured. Allometricequations are constructed from the sample tree data and are used to estimate the biomass of other live standing trees. Indirect methods are usually based on forest inventory data. The volume information gathered in forest inventories is converted into biomass by using allometricequations and biomass expansion factors. 9
10 Narration: Destructive sampling is needed to generate equations, or allometric models, for biomass components that can be used later for indirect estimations. Based on the distribution of the population, such as age class and diameter class, a sub-sample for trees to be felled for destructive sampling is selected. 10
11 Narration: Based on destructive sampling, volume equations for stems and allometricequations are constructed between easily measurable variables such as tree diameter, and biomass components, such as branch biomass. 11
12 Narration: Biomass expansion factor (BEF) is the relation between the total tree biomass and the stem biomass. It is used to indirectly estimate the total tree biomass using stem biomass, which is easy to measure directly or which can be calculated from the stem volume data. 12
13 Narration: This table gives an example of allometric equations existing in the literature that can be used if no other data is available. 13
14 Narration: Another example. 14
15 Narration: Below-ground biomass, or root biomass, is either measured directly in the sample plots by destructive sampling or determined indirectly by using allometric equations. The measurement of above-ground biomass is relatively established and simple. Below-ground biomass, however, can only be measured with time-consuming methods. Consequently, it is more efficient and effective to apply regression models, or allometricequations, to determine belowground biomass from knowledge of biomass aboveground. Applying these equations provides an accurate assessment of below-ground biomass. This is the most practical and cost-effective method of determining biomass of roots. For one-time measurements of root biomass, simply insert the above-ground biomass into the appropriate equation (Pearson et al. 2005). The following regression models are widely used: Boreal: BBD (t/ha) = exp ( x lnabd ) Temperate: BBD = exp ( x ln ABD ) Tropical: BBD = exp ( x ln ABD) Where: BBD = belowground biomass density, and ABD = aboveground biomass density (t/ha) 15
16 Narration: To obtain an accurate inventory of organic carbon stocks in mineral or organic soil, three types of variables must be measured: 1: Depth 2: Bulk density, which is calculated from the oven-dried weight of soil from a known volume of sampled material. 3: The concentrations of organic carbon within the sample. For convenience and cost-efficiency, remove the samples from a constant depth, maintaining a constant sample volume rather than mass. A 30-centimetre probe is an effective measurement tool. Steps for sampling and measuring dead wood (Pearson et al. 2005) Step 1: Lay out two lines of 50 metreseither in a single line or at right angles. Step 2: Along the length of the lines, measure the diameter of each intersecting piece of coarse dead wood. Use wood greater than 10 centimetres in diameter). Calipers work best for measuring the diameter. A piece of dead wood should only be measured if more than 50 per cent of the log is above ground and the sampling line crosses through at least 50 per cent of the diameter of the piece. If the log is hollow at the intersection point, measure the diameter of the hollow. Do not use the hollow portion in the volume estimates. Step 3: Assign each piece of dead wood to one of three density classes sound, intermediate or rotten. To determine what density class a piece of dead wood fits into, each piece should be struck with a saw or machete. If the blade does not sink into the piece that is, if it bounces off it is classified as sound. If it sinks partly into the piece and there has been some wood loss, it is classified as intermediate. If the blade sinks into the piece, there is more extensive wood loss and the piece is crumbly, it is classified as rotten. Step 4: Representative dead wood samples of the three density classes, representing the range of species present, should be collected to determine the density. This is done by measuring dry weight per green volume. Using a chainsaw or a hand saw, cut a complete disc from the selected piece of dead wood. The average diameter and thickness of the disc should be measured to estimate volume. The fresh weight of the disc does not have to be recorded. The disc should be oven-dried to a constant weight. Steps for sampling and measuring litter (Pearson et al ) Step 1: Place the sampling frame at the sample site. Step 2: Collect all the litter inside the frame. A knife can be used to cut pieces that fall on the border of the frame. Place all the litter on a tarpaulin beside the frame. Step 3a: Weigh the sample on-site, then oven-dry it to a constant weight. Step 3b: If the sample bulk is excessive, the fresh weight of the total sample should be recorded in the field, and a subsample of manageable size, approximately 80 to 100 grams, taken for moisture content determination, from which the total dry mass can be calculated. 16
17 Narration: In general, soil samples should be taken when the permanent plots are established and measured. Use either a soil corer of 30 centimetresin length or hand-dug pits of 30 centimetresin depth. Soil samples should be collected from the 0 to 30 centimetrehorizon unless otherwise specified. To collect soil samples, remove all vegetation and litter from the soil surface prior to sampling. Place the soil core or slice on the plastic tarp and remove coarse fragments using a 5 millimetrescreen. If multiple subsamples are to be taken in each plot, screen all samples on the plastic tarp and mix thoroughly to a uniform colourand consistency. Place a sample in a clearly labeled sample bag. The quantity of soil required may depend upon the laboratory and analysis to be used. Steps for sampling and measuring soil (Pearson et al. 2005) Step 1: Steadily insert the soil probe to a depth of 30 centimetres. If the soil is compacted, use a rubber mallet to try to tap it down fully. If the probe will not penetrate to the full depth, do not force it as there may be a stone blocking its route and, if forced, the probe will be damaged. Instead, withdraw the probe, clean out any collected soil and insert it in a new location. Step 2: Carefully extract the probe and place the sample into a cloth bag. Because the carbon concentration of organic materials is much higher than that of the mineral soil, including even a small amount of surface material can result in a serious overestimation of soil carbon stocks. Step 3: To reduce variability, aggregate four samples from each collection point for carbon concentration analysis. Step 4: At each sampling point, take two additional aggregated cores to determine bulk density. When taking cores for measurements of bulk density, be careful not to lose any soil from the cores. Step 5: Soil samples can be sent to a professional laboratory for analysis. Commercial laboratories throughout the world routinely analyseplant and soil samples using standard techniques. The selected laboratory should be checked to ensure they follow commonly accepted standard procedures for sample preparation, such as mixing and sieving, and for drying temperatures and carbon analysis methods. 17
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