08.01.2014 Views

Forests Sourcebook - HCV Resource Network

Forests Sourcebook - HCV Resource Network

Forests Sourcebook - HCV Resource Network

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

ANNEX 6.3A<br />

SELECT TOOLS TO ASSIST SCOPING OF CROSS-SECTORAL IMPACTS<br />

The information in this annex is based on prior work done<br />

by Iannariello et al. (1999).<br />

Checklists<br />

A checklist can assist in determining the effects that are<br />

likely to apply (table 6.3). This tool can be particularly useful<br />

if the list is focused on the most common and significant<br />

effects. The assessment team should review the checklist and<br />

provide a description and analysis of the relevant items.<br />

Matrices<br />

A matrix can assist in providing a clear summary of a qualitative<br />

review or an assessment, and can be easily used for<br />

comparing the various reforms and reform scenarios (table<br />

6.4). The matrix can include such factors as direction of<br />

change, the severity or magnitude of the impact, reversibility,<br />

probability, duration, and potential mitigation measures. A<br />

matrix can be qualitative and descriptive or include quantitative<br />

information. Quantitative matrices rely on scoring techniques<br />

or other standardized measures that assess various factors<br />

such as the strength of environmental institutions.<br />

<strong>Network</strong>s<br />

<strong>Network</strong>s are diagrams that illustrate both the direct and<br />

indirect relationships between policies and the environment.<br />

<strong>Network</strong>s can show the sequences of causes and<br />

effects moving through the economic, social, and political<br />

spheres, and thus provide a useful tool for selecting points<br />

of entry. Quantitative networks can be translated into mathematical<br />

models for simulation purposes. Mathematical<br />

approaches can be useful when the assessment requires simple<br />

calculations with large data sets, when there are complex<br />

links among the elements, when processes are time dependent,<br />

or when the relationship can only be defined in terms<br />

of statistical probabilities.<br />

Table 6.3<br />

Sample Checklist for Devaluation<br />

Effect Probable Investigated<br />

Agricultural land (opening or abandonment) x x<br />

Land degradation (increase or decrease)<br />

Logging and extraction of natural resources (increase or decrease)<br />

x<br />

Industrial pollution (increase or decrease) x x<br />

Water use (increase or decrease)<br />

Energy use (increase or decrease) x x<br />

Encroachment on protected area (increase or decrease) x x<br />

Wildlands and forests (increase or decrease)<br />

Source: Iannariello et al 1999.<br />

Table 6.4<br />

Sample Qualitative Matrix for Devaluation<br />

Effect Direction Time frame Reversible Probability Legal recourse<br />

Land use Negative Long-term No High Weak<br />

Water use Positive Medium-term Yes Medium Weak<br />

Greenhouse gas emissions Negative Long-term Yes High Medium<br />

Source: Iannariello et al 1999.<br />

236 CHAPTER 6: MAINSTREAMING FORESTS INTO DEVELOPMENT POLICY AND PLANNING

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!