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