Forests Sourcebook - HCV Resource Network

Forests Sourcebook - HCV Resource Network Forests Sourcebook - HCV Resource Network

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Box 7.1 Monitoring Promotes Changes in Armenian Forest Policy In 1998 in Armenia, the available forest inventory data dated back to the former Soviet Union inventory results. A strategic objective inventory of the Armenian forests, financed by SIDA (the Swedish International Development Agency), was carried out to obtain better decision support for ongoing policy development in the country. The results got the attention of decision makers. Measured growth was twice the previous official figures per hectare per year, and cuttings totaled six times the official annual maximum allowable cut per hectare. It became apparent that illegal cuttings were a big problem and that cutting was not generally carried out in a sustainable manner. These inventory results, shared with Armenia’s policy makers at a seminar, became an incentive for change in national forest policy. Further inventory was recommended to update the forest policy. In 2005 the government adopted a decree establishing the State Forest Monitoring System, which includes establishing a monitoring center responsible for monitoring illegal logging and timber removal and preventing illegal activities in forests. Donor support for the work is being provided by the World Bank, the government of Japan, and others. Source: Thuresson 2002. causes for change and identifying ways to integrate forest development efforts with overall sustainable development in the country. From a poverty standpoint, monitoring can provide more accurate information on how changes in resources and their uses are affecting the rural poor, and whether the pattern of resource use by the rural poor is sustainable (see chapter 1, Forests for Poverty Reduction). Robust information on changes in quality and quantity of forest resources and periodic monitoring can assist in identifying factors driving forest change. Time series information generated through spatial maps of forest cover, roads, poverty levels, and property rights can help in the analysis of cross-sectoral relationships. Such monitoring efforts can be used to understand the influence of external factors on forest resources, monitor illegal logging (see note 5.5, Addressing Illegal Logging), or assess carbon assimilated by forests. Innovative application of spatial and other monitoring tools can facilitate such uses (see box 7.2). Periodic collection of, and public access to, relevant and robust forest information can enable better resource management. Other contributions to a new environment for decision making have included advances in understanding complex interactions, both within ecosystems and among ecosystems, human activities, and human well-being; improvements in information technologies and greater access to information as a result of computers and data sys- Box 7.2 Using Spatial Monitoring to Assess Links Between Energy Reform and Forests Since fiscal 2002 several lending operations in Europe and Central Asia have focused on sector reforms to improve the efficiency and effectiveness of energy service delivery in the region. A review of the World Bank’s activities with regard to the fiscal, efficiency, social, and environmental dimensions of energy sector reforms in the region considered human health benefits resulting from reduced pollution in the electricity sector (Lampietti 2004). However, the study also discussed the possibility that the reforms have damaged health because households switched to dirty fuels (such as wood, coal, or kerosene). The study also highlighted the possibility that fuelwood use may cause deforestation, although this could not be proven because of inadequate data. Source: Lampietti 2004. This study used spatial information to assess the environmental impact of energy reform. The methodology made it possible to identify where households (because of poverty levels) might switch to dirty fuels. Overlaying this information with data on forest cover revealed where the risk of increased residential wood use is greatest. With this information it was possible to consider promoting access to alternative energy sources and more efficient wood stoves in high-risk areas, as well as to prepare and implement spatially explicit forest management plans and encourage participatory forest management to reduce this risk. Extensive in-country collaboration aided the data collection process for this study. 248 CHAPTER 7: MONITORING AND INFORMATION SYSTEMS FOR FOREST MANAGEMENT

tems; the changing paradigm of poverty; and ongoing policy and institutional reform. Multiple users in governments, the private sector, and civil society need better scientific information, such as that provided through technical assessments. Furthermore, the general public can make use of information found in assessments to hold decision makers accountable (Millennium Ecosystem Assessment 2003). PAST ACTIVITIES The World Bank has monitoring components in various investment projects, some of which are discussed in the notes associated with this chapter. It is estimated that approximately US$28 million has been invested in monitoring components of forest sector projects over 2002–05. This investment is nearly evenly distributed between creation of forest management information systems (FMIS), forest inventories, and development of capacity and tools for spatial monitoring. This component of forest activities is expected to increase as investments in governance increase (with monitoring of illegal logging activities) and as client country interest in avoided deforestation matures. KEY ISSUES Temporal aspects of monitoring. Forest monitoring is an assessment of the status of forests at different times, often including assessment of changes within established features (that is, changes within boundaries of protected areas, forest concessions, private properties, and so on). Forest monitoring thus requires systematic periodic assessment. Monitoring should update forest management. An effective forest monitoring system is much more than a technical set of data and techniques. A political process and the political will to integrate findings from forest information systems and to update management approaches and policies makes monitoring useful. An effective forest monitoring system is one that is tied to appropriate political processes that enable corrective actions. National forest inventories. Continuous or repeated forest assessments (or forest inventories) are often necessary to enable resource use planning and management. National forest inventories (NFIs) are an example of such assessments. NFIs provide information relevant for national-level decision making, policy formulation, and monitoring for forestry and related sectors, as well as for forestry planning in smaller geographical or political units at the subnational level (see note 7.1, National Forest Inventories). Because the results are an input to global forest assessments, there is also regional and global interest in high-quality national forest information. Several new methodologies and technologies can improve inventory, planning, implementation, analysis, and reporting of forest inventories (see table 7.1). Selection of tools or approaches should be informed by the characteristics of the activity being monitored and the availability of required capacity, hardware, and other supports. Building national capacity for gathering and using information. Capacity to collect forest sector data and conduct forest inventories has declined since the 1960s. Currently, few national statistical organizations are strong enough to be of value in policy processes. The challenge at the local level is partly driven by poor links between information demand and supply (Holmgren and Persson 2002). In recent decades forest information seems to have been supply driven, partly because of the promotion of remote sensing rather than field work. The policy process, therefore, has been guided by what can be Table 7.1 Areas Where New Methodologies and Technologies are Expected to Benefit NFIs Main phases of a national forest inventory Data quality Analysis Methodology and data (including or technology Planning Implementation management modeling) Reporting Remote sensing X X X Satellite navigation systems X X Measurement devices X Mobile information and communication X X Software and algorithms X X X Sampling options X X Source: Kleinn 2002. CHAPTER 7: MONITORING AND INFORMATION SYSTEMS FOR FOREST MANAGEMENT 249

tems; the changing paradigm of poverty; and ongoing policy<br />

and institutional reform. Multiple users in governments,<br />

the private sector, and civil society need better scientific<br />

information, such as that provided through technical assessments.<br />

Furthermore, the general public can make use of<br />

information found in assessments to hold decision makers<br />

accountable (Millennium Ecosystem Assessment 2003).<br />

PAST ACTIVITIES<br />

The World Bank has monitoring components in various<br />

investment projects, some of which are discussed in the<br />

notes associated with this chapter. It is estimated that<br />

approximately US$28 million has been invested in monitoring<br />

components of forest sector projects over 2002–05. This<br />

investment is nearly evenly distributed between creation of<br />

forest management information systems (FMIS), forest<br />

inventories, and development of capacity and tools for spatial<br />

monitoring. This component of forest activities is<br />

expected to increase as investments in governance increase<br />

(with monitoring of illegal logging activities) and as client<br />

country interest in avoided deforestation matures.<br />

KEY ISSUES<br />

Temporal aspects of monitoring. Forest monitoring is<br />

an assessment of the status of forests at different times, often<br />

including assessment of changes within established features<br />

(that is, changes within boundaries of protected areas, forest<br />

concessions, private properties, and so on). Forest monitoring<br />

thus requires systematic periodic assessment.<br />

Monitoring should update forest management. An<br />

effective forest monitoring system is much more than a<br />

technical set of data and techniques. A political process and<br />

the political will to integrate findings from forest information<br />

systems and to update management approaches and<br />

policies makes monitoring useful. An effective forest monitoring<br />

system is one that is tied to appropriate political<br />

processes that enable corrective actions.<br />

National forest inventories. Continuous or repeated<br />

forest assessments (or forest inventories) are often necessary<br />

to enable resource use planning and management.<br />

National forest inventories (NFIs) are an example of such<br />

assessments. NFIs provide information relevant for<br />

national-level decision making, policy formulation, and<br />

monitoring for forestry and related sectors, as well as for<br />

forestry planning in smaller geographical or political units<br />

at the subnational level (see note 7.1, National Forest Inventories).<br />

Because the results are an input to global forest<br />

assessments, there is also regional and global interest in<br />

high-quality national forest information. Several new<br />

methodologies and technologies can improve inventory,<br />

planning, implementation, analysis, and reporting of forest<br />

inventories (see table 7.1). Selection of tools or approaches<br />

should be informed by the characteristics of the activity<br />

being monitored and the availability of required capacity,<br />

hardware, and other supports.<br />

Building national capacity for gathering and using<br />

information. Capacity to collect forest sector data and conduct<br />

forest inventories has declined since the 1960s. Currently,<br />

few national statistical organizations are strong enough to be<br />

of value in policy processes. The challenge at the local level is<br />

partly driven by poor links between information demand and<br />

supply (Holmgren and Persson 2002). In recent decades forest<br />

information seems to have been supply driven, partly because<br />

of the promotion of remote sensing rather than field work.<br />

The policy process, therefore, has been guided by what can be<br />

Table 7.1<br />

Areas Where New Methodologies and Technologies are Expected to Benefit NFIs<br />

Main phases of a national forest inventory<br />

Data quality Analysis<br />

Methodology and data (including<br />

or technology Planning Implementation management modeling) Reporting<br />

Remote sensing X X X<br />

Satellite navigation<br />

systems X X<br />

Measurement devices<br />

X<br />

Mobile information and<br />

communication X X<br />

Software and algorithms X X X<br />

Sampling options X X<br />

Source: Kleinn 2002.<br />

CHAPTER 7: MONITORING AND INFORMATION SYSTEMS FOR FOREST MANAGEMENT 249

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