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The previous inventories mainly focused on timber and partly on biomass of the forest trees. Limited efforts were made to<br />

generate information on NTFPs and biological diversity of forest tree species. Protected areas were excluded from the NFI by<br />

defining inaccessible forest. In this backdrop, a NFI is urgently needed in <strong>Nepal</strong> to update forest statistics and address the<br />

present data needs.<br />

The previous NFI relied on centralized data collection approach and data collection procedures were quite expensive. The<br />

problem tree reveals that there is inadequate co-operation between organizations, lack of integrated natural resource data, and<br />

limited data processing capability. There is a clear need to emphasize decentralization of data collection and results<br />

dissemination. The institutional capacity of forestry organizations in information management need to be enhanced.<br />

Compilation of Forestry<br />

National forest management<br />

sector policy & programs<br />

decisions<br />

are not optimal<br />

are not optimal<br />

National & district District forest<br />

decisions are made<br />

with inaccurate data<br />

Accurate and actual forest forest<br />

decision making data<br />

is not available<br />

Inadequate information<br />

acquisition and sharing<br />

mechanism<br />

Lack of actual,<br />

integrated natural<br />

resource data.<br />

Limited data processing<br />

capacity and capability<br />

Lacking<br />

coordination in in<br />

data collection,<br />

data sharing<br />

procedures<br />

do not exist,<br />

centralized<br />

processes<br />

Data<br />

dissemination is is<br />

poor and<br />

only few<br />

organizations are are<br />

involved.<br />

Inventory data is is not not<br />

used for decision<br />

NTFP,<br />

Livelihood,<br />

Carbon, and<br />

Biodiversity<br />

data are missing.<br />

Growth models<br />

are missing.<br />

Efficient<br />

Monitoring<br />

System missing.<br />

Actual and<br />

accurate<br />

remote<br />

sensing data<br />

not available.<br />

Links to<br />

census,<br />

wildlife,<br />

agri-statistics,<br />

industrial<br />

statistics are<br />

weak<br />

Knowledge<br />

of GIS and RS<br />

data<br />

processing<br />

as well as<br />

Biometric& biometric&<br />

growth<br />

modeling<br />

limited<br />

Limited<br />

resources in in<br />

data collection<br />

and data<br />

processing<br />

Figure 1: <strong>Nepal</strong> national Problem Tree of forest information management<br />

3. Stakeholders and beneficiaries<br />

Although there are diverse stakeholders and beneficiaries of the project, they can be broadly categorized into immediate and<br />

indirect stakeholders. Immediate stakeholders will be directly involved in the NFI processes, but indirect beneficiaries only<br />

use the end products of the project. In the initial stage of the project, the national level forestry stakeholders will be identified.<br />

Moreover, <strong>FRA</strong> activities will be decentralized and capacity of local level forestry organizations will be utilized during the<br />

data collection procedures. Indirect stakeholders and beneficiaries will be involved in data collection and dissemination<br />

processes.<br />

3.1 Key Stakeholders and beneficiaries<br />

The following four groups are the key stakeholders of the <strong>FRA</strong> project:<br />

3.1.1 Public sector policy and decision makers<br />

National, regional and district level policy makers need <strong>FRA</strong> data for strategic planning, policy formulation and management<br />

decision. <strong>FRA</strong> project will generate data at national and regional scales to support forestry planning and policy decision.<br />

3.1.2 Cross-sectoral users<br />

Forests and forestry activities have great impact in different organizations. The <strong>FRA</strong> results are utilized by many<br />

organizations. For example, Department of Survey and Central Bureau of Statistics (CBS) use forest data for their purpose.<br />

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