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Forests Sourcebook - HCV Resource Network

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Box 7.1<br />

Monitoring Promotes Changes in Armenian Forest Policy<br />

In 1998 in Armenia, the available forest inventory data<br />

dated back to the former Soviet Union inventory results.<br />

A strategic objective inventory of the Armenian forests,<br />

financed by SIDA (the Swedish International Development<br />

Agency), was carried out to obtain better decision<br />

support for ongoing policy development in the country.<br />

The results got the attention of decision makers.<br />

Measured growth was twice the previous official figures<br />

per hectare per year, and cuttings totaled six times<br />

the official annual maximum allowable cut per hectare.<br />

It became apparent that illegal cuttings were a big<br />

problem and that cutting was not generally carried out<br />

in a sustainable manner. These inventory results,<br />

shared with Armenia’s policy makers at a seminar,<br />

became an incentive for change in national forest policy.<br />

Further inventory was recommended to update the<br />

forest policy.<br />

In 2005 the government adopted a decree establishing<br />

the State Forest Monitoring System, which includes<br />

establishing a monitoring center responsible for monitoring<br />

illegal logging and timber removal and preventing<br />

illegal activities in forests. Donor support for the<br />

work is being provided by the World Bank, the government<br />

of Japan, and others.<br />

Source: Thuresson 2002.<br />

causes for change and identifying ways to integrate forest<br />

development efforts with overall sustainable development<br />

in the country. From a poverty standpoint, monitoring can<br />

provide more accurate information on how changes in<br />

resources and their uses are affecting the rural poor, and<br />

whether the pattern of resource use by the rural poor is sustainable<br />

(see chapter 1, <strong>Forests</strong> for Poverty Reduction).<br />

Robust information on changes in quality and quantity<br />

of forest resources and periodic monitoring can assist in<br />

identifying factors driving forest change. Time series information<br />

generated through spatial maps of forest cover,<br />

roads, poverty levels, and property rights can help in the<br />

analysis of cross-sectoral relationships. Such monitoring<br />

efforts can be used to understand the influence of external<br />

factors on forest resources, monitor illegal logging (see note<br />

5.5, Addressing Illegal Logging), or assess carbon assimilated<br />

by forests. Innovative application of spatial and other<br />

monitoring tools can facilitate such uses (see box 7.2).<br />

Periodic collection of, and public access to, relevant and<br />

robust forest information can enable better resource management.<br />

Other contributions to a new environment for<br />

decision making have included advances in understanding<br />

complex interactions, both within ecosystems and among<br />

ecosystems, human activities, and human well-being;<br />

improvements in information technologies and greater<br />

access to information as a result of computers and data sys-<br />

Box 7.2<br />

Using Spatial Monitoring to Assess Links Between Energy Reform and <strong>Forests</strong><br />

Since fiscal 2002 several lending operations in Europe<br />

and Central Asia have focused on sector reforms to<br />

improve the efficiency and effectiveness of energy service<br />

delivery in the region. A review of the World Bank’s<br />

activities with regard to the fiscal, efficiency, social, and<br />

environmental dimensions of energy sector reforms in<br />

the region considered human health benefits resulting<br />

from reduced pollution in the electricity sector (Lampietti<br />

2004). However, the study also discussed the possibility<br />

that the reforms have damaged health because<br />

households switched to dirty fuels (such as wood, coal,<br />

or kerosene). The study also highlighted the possibility<br />

that fuelwood use may cause deforestation, although<br />

this could not be proven because of inadequate data.<br />

Source: Lampietti 2004.<br />

This study used spatial information to assess the<br />

environmental impact of energy reform. The methodology<br />

made it possible to identify where households<br />

(because of poverty levels) might switch to dirty fuels.<br />

Overlaying this information with data on forest cover<br />

revealed where the risk of increased residential wood<br />

use is greatest. With this information it was possible to<br />

consider promoting access to alternative energy<br />

sources and more efficient wood stoves in high-risk<br />

areas, as well as to prepare and implement spatially<br />

explicit forest management plans and encourage participatory<br />

forest management to reduce this risk.<br />

Extensive in-country collaboration aided the data<br />

collection process for this study.<br />

248 CHAPTER 7: MONITORING AND INFORMATION SYSTEMS FOR FOREST MANAGEMENT

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