Forests Sourcebook - HCV Resource Network
Forests Sourcebook - HCV Resource Network Forests Sourcebook - HCV Resource Network
■ ■ ■ enables implementation of action plans to combat illegal activities in the sector; increases knowledge on the extent and location of the country’s forest assets for potential private investors in wood-processing industries; and enables FMIS and state forest inventory use for decision making, monitoring, and planning, thereby helping to support the benefits of these tools. Inventory design. Areas to be included in the inventory must be clearly defined; for example, privately held forests, forests in areas that are considered nonforest, and tree resources on nonforest land (see box 7.8). It is equally important to determine whether the inventory will be “wall to wall,” or based on samples. The objectives of the inventory and the sample should help confirm the statistical design and the required level of accuracy. The objectives also help determine how often inventory reports should be updated (annually, or every 5 or 10 years) and the way in which success will be measured. Success may not be solely a function of precision, but also depend on transparency and timeliness. If the objective is to estimate status and trends in OPERATIONAL ASPECTS Operationalizing forest inventories requires great attention to detail as well as to the big picture in the forest sector. 1 Clarity of the objective of the inventory and an assessment of capacity to implement the inventory are central to designing a proper forest inventory and ensuring that all (or most) of the important components are covered (see box 7.7). ■ ■ ■ the area of forest land; the volume, growth, and removal of forest resources; and the health and condition of the forest; important elements in a forest inventory will include ■ ■ ■ ■ sampling design—how to have a nationally consistent assessment; observations and measurements; using remote sensing applications effectively, perhaps for – initial plot observation, – stratification (see box 7.9); conducting remote sensing and GIS research, including – map-based estimation and internet (see box 7.10), – map-based sustainability analyses. Box 7.7 Forest Inventory in Tanzania The World Bank’s intervention in Tanzania has an inventory component that includes ■ ■ setting up a specialized structure in the Forest and Bee Keeping Department (FBD) for data collection; updating of information; training of inventory personnel; developing norms and methods of inventories and assessments; helping define government policy in the area of knowledge generation, management, dissemination, and the like; and creating a new baseline of information, complete in scope and harmonized with existing information required by international reporting requirements (see box 7.12 for data collection model). Objectives of the project: ■ Strengthen capability of FBD to collect, analyze, and update the needed information on forests and trees for planning and sustainable management of the forestry resources. Source: FAO 2007. ■ ■ ■ Prepare a national map based on harmonized classification of forest and land uses and related definitions. Undertake a national forestry resource assessment and develop a national database. Design specific and management-oriented inventory in priority areas and formulate projects. Outputs: ■ ■ ■ Harmonized forest and land use classification system and maps of state and changes of state produced based on remote sensing data. New baseline information, encompassing a wide range of data for both local and international users, generated and disseminated. Specific and management-oriented inventory in priority areas designed and projects formulated. 258 CHAPTER 7: MONITORING AND INFORMATION SYSTEMS FOR FOREST MANAGEMENT
Box 7.8 Example of Defining the Sample of Interest Box 7.10 Map-Based Estimation Methods If “forests on the edge” are to be included in the sample, a possible way of defining them would be to ■ ■ choose watersheds (approximately 1,000) with – at least 10 percent forest cover, and – at least 50 percent of forest in private ownership; and rank watersheds – by forest contributions, – by threats to forest contributions, and – by combination of contributions and threats. The inventory could be focused on watersheds with a high rank. Source: USFS 2007. Internet map-based estimation methods involve ■ ■ ■ selecting a map of forest attribute, drawing polygon of any shape, and developing a selection estimation type that could be – sample-based estimate and standard error, or – pixel-based estimate and standard error (for small or user-defined areas). Within this process there are two relevant sets of images: (i) a “reference set,” which is made up of satellite image pixels with associated plots, and (i) a “target set,” which is the satellite image pixels without associated plots. Source: USFS 2007. Practical considerations. Considerations to keep in mind when developing inventories include the following: ■ how to link the national inventory with (where available and relevant) existing stand (management) inventory. ■ ■ difficulty of access to plots in large, remote areas; continuity of estimates when transitioning from a statelevel inventory to a national level inventory; and Box 7.9 Initial plot observation and stratification can assist in identifying the areas that need to be measured and those that can be excluded. If initial plot observation indicates an area is obviously a nonforest area, it does not need to be observed in the field. This type of information can help classify satellite imagery into homogeneous strata to increase the precision of estimates. When stratifying forests, stratification must be distinguished from classification. It is possible to have large numbers of classifications and few stratification, or vice versa. For example, there may be 21 classifications, stratified into forest and nonforest land; or the classification can be forest land and nonforest land, with four stratifications: forest, forest edge, nonforest edge, nonforest. Source: USFS 2007. Plot Stratification It is helpful to identify regions where different sampling and attribute intensities can be applied, such as remote or reserved areas. The same level of precision is not required in such areas. If such an approach is adopted, it is important to ■ ■ ■ decide whether aerial or ground sampling or both are to be used, by region; ensure that a core set of compatible results is available across all regions; and clarify the responsibilities of all groups involved. Cost of inventory. Cost is an important consideration in inventories. It is important when promoting forest inventories to ■ ■ ■ determine the most cost-effective data collection and processing approaches; develop needed operational experience in the relevant department or unit so that the inventory can be scaled up on a cost-effective and timely basis; and provide an estimate of the cost for implementing the inventory. Use of new technologies can help with cost concerns. However, cost should not be the sole driving force for NOTE 7.1: NATIONAL FOREST INVENTORIES 259
- Page 208 and 209: Box 6.3 Positive Impact of Agrarian
- Page 210 and 211: Box 6.4 Use of the Rapid CEA Approa
- Page 212 and 213: ———. 2005. “Development Pol
- Page 214 and 215: NOTE 6.1 Using National Forest Prog
- Page 216 and 217: Box 6.6 Basic Principles of NFP Pre
- Page 218 and 219: Implementation. The implementation
- Page 220 and 221: allow for each country’s differen
- Page 222 and 223: limited in the coverage and duratio
- Page 224 and 225: Box 6.12 The Use of DPLs to Support
- Page 226 and 227: Box 6.13 Using DPLs in Lao PDR for
- Page 228 and 229: OPCS. 2004. “Good Practice Notes
- Page 230 and 231: OPERATIONAL ASPECTS Prioritizing th
- Page 232 and 233: orientation of the DPL operations c
- Page 234 and 235: Indicators are helpful in these sit
- Page 236 and 237: ANNEX 6.3A SELECT TOOLS TO ASSIST S
- Page 238 and 239: NOTE 6.4 Assessing Cross-Sectoral I
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- Page 242 and 243: Considering the above issues, an in
- Page 244 and 245: Box 6.19 Implementation of the Keny
- Page 246 and 247: World Bank SEA Web resources: http:
- Page 248 and 249: Box 7.1 Monitoring Promotes Changes
- Page 250 and 251: collected via remote sensing rather
- Page 252 and 253: Discussions and proposals on how to
- Page 254 and 255: Assessment (www.millenniumassessmen
- Page 256 and 257: FAO. 2004. “Manual for Environmen
- Page 260 and 261: selecting the technology. Technolog
- Page 262 and 263: USFS Field Guides: www.fia.fs.fed.u
- Page 264 and 265: Box 7.13 System Architecture of a S
- Page 266 and 267: Box 7.14 FMIS in Bosnia and Herzego
- Page 268 and 269: and client-rich system, which would
- Page 270 and 271: ANNEX 7.2A MODEL TERMS OF REFERENCE
- Page 272 and 273: ■ ■ ■ ■ ■ ■ ■ ■ ■
- Page 274 and 275: NOTE 7.3 Spatial Monitoring of Fore
- Page 276 and 277: ■ ■ ■ ■ Availability of ref
- Page 278 and 279: Box 7.19 Selecting the Appropriate
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- Page 282 and 283: Tropical Ecosystem Environment Obse
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- Page 288 and 289: forestry activities was counterprod
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- Page 306 and 307: Box 9.8 Market Analysis A market an
■<br />
■<br />
■<br />
enables implementation of action plans to combat illegal<br />
activities in the sector;<br />
increases knowledge on the extent and location of the<br />
country’s forest assets for potential private investors in<br />
wood-processing industries; and<br />
enables FMIS and state forest inventory use for decision<br />
making, monitoring, and planning, thereby helping to<br />
support the benefits of these tools.<br />
Inventory design. Areas to be included in the inventory<br />
must be clearly defined; for example, privately held forests,<br />
forests in areas that are considered nonforest, and tree<br />
resources on nonforest land (see box 7.8). It is equally<br />
important to determine whether the inventory will be “wall<br />
to wall,” or based on samples. The objectives of the inventory<br />
and the sample should help confirm the statistical<br />
design and the required level of accuracy. The objectives<br />
also help determine how often inventory reports should be<br />
updated (annually, or every 5 or 10 years) and the way in<br />
which success will be measured. Success may not be solely a<br />
function of precision, but also depend on transparency and<br />
timeliness.<br />
If the objective is to estimate status and trends in<br />
OPERATIONAL ASPECTS<br />
Operationalizing forest inventories requires great attention<br />
to detail as well as to the big picture in the forest sector. 1<br />
Clarity of the objective of the inventory and an assessment of<br />
capacity to implement the inventory are central to designing<br />
a proper forest inventory and ensuring that all (or most) of<br />
the important components are covered (see box 7.7).<br />
■<br />
■<br />
■<br />
the area of forest land;<br />
the volume, growth, and removal of forest resources; and<br />
the health and condition of the forest;<br />
important elements in a forest inventory will include<br />
■<br />
■<br />
■<br />
■<br />
sampling design—how to have a nationally consistent<br />
assessment;<br />
observations and measurements;<br />
using remote sensing applications effectively, perhaps for<br />
– initial plot observation,<br />
– stratification (see box 7.9);<br />
conducting remote sensing and GIS research, including<br />
– map-based estimation and internet (see box 7.10),<br />
– map-based sustainability analyses.<br />
Box 7.7<br />
Forest Inventory in Tanzania<br />
The World Bank’s intervention in Tanzania has an<br />
inventory component that includes<br />
■<br />
■<br />
setting up a specialized structure in the Forest and<br />
Bee Keeping Department (FBD) for data collection;<br />
updating of information; training of inventory personnel;<br />
developing norms and methods of inventories<br />
and assessments; helping define government<br />
policy in the area of knowledge generation, management,<br />
dissemination, and the like; and<br />
creating a new baseline of information, complete in<br />
scope and harmonized with existing information<br />
required by international reporting requirements<br />
(see box 7.12 for data collection model).<br />
Objectives of the project:<br />
■<br />
Strengthen capability of FBD to collect, analyze, and<br />
update the needed information on forests and trees<br />
for planning and sustainable management of the<br />
forestry resources.<br />
Source: FAO 2007.<br />
■<br />
■<br />
■<br />
Prepare a national map based on harmonized classification<br />
of forest and land uses and related definitions.<br />
Undertake a national forestry resource assessment<br />
and develop a national database.<br />
Design specific and management-oriented inventory<br />
in priority areas and formulate projects.<br />
Outputs:<br />
■<br />
■<br />
■<br />
Harmonized forest and land use classification system<br />
and maps of state and changes of state produced<br />
based on remote sensing data.<br />
New baseline information, encompassing a wide<br />
range of data for both local and international users,<br />
generated and disseminated.<br />
Specific and management-oriented inventory in<br />
priority areas designed and projects formulated.<br />
258 CHAPTER 7: MONITORING AND INFORMATION SYSTEMS FOR FOREST MANAGEMENT