Environmental Engineering Reference
In-Depth Information
A guide to whether it is worthwhile proceeding with a community-based conser-
vation through use project.
Note
: 'Bad prospects' on one factor does not necessarily rule out success, but means that there
should be some hard thinking before starting on the project.
Factor
Good prospects
Bad prospects
The enterprise
Profitability
More than covers costs
Does not cover costs
Market demand
Moderate
Too high or too low
Infrastructure
Good
Poor
Local skills
High
Limited
Complexity
Low
High
Linkage to conservation
High
Low (or not perceived)
Benefits
Cash benefits
Moderate
Low or too high
Non-cash benefits
High
Limited
Time benefits received
Immediate
Long or uncertain wait
Distribution
Targeted to those
Too broad or to wrong
conserving
people
Stakeholders
Group of stakeholders
Established
Absent or weak
Leadership
Balanced and respected
Absent or too strong
Access to resource
Full
None or ill-defined
Enforceability of rules
Strong
Weak or none
Homogeneity of group
Complete
Limited
Conflict
Absent
Present
Threat source
External
Predominately internal
Other
Chaotic situation
Unlikely or can be adapted to
Endemic
Project alliance
Experienced and established
Otherwise
Source
: Adapted and simplified from Salafsky
et al
. (2001).
Another example of this kind of analysis was carried out by Halls
et al
. (2002) for
the Department for International Development, UK. DFID had supported
many small-scale fisheries co-management schemes in developing countries, and
wanted a quantitative assessment of success of these schemes. Data were available
for 258 variables that might affect sustainability from 119 fisheries in 13 coun-
tries. Halls
et al
. (2002) used a range of statistical techniques to approach the
issue, starting with principal components analysis and cluster analysis to make
the number of explanatory variables more manageable (Chapter 3). Then they
built general linear models (Crawley 2005) to describe the relationship between
a range of proposed explanatory variables and three dependent variables, catch
per unit area and effort, and household income. The strongest relationships they
