Lisa Gaylord
Recently-introduced
state and donor-sponsored programs to decentralize natural resource management
to rural communities, Gestion
Contractualisée des Forêts (GCF) and Gestion
Locale Sécurisée (Gelose), aim to reduce tavy through establishing and
guaranteeing relative local land tenure. In most cases, they include an initial
transfer of resource management for three years, with a potential renewal for
an additional ten years (and continual renewals thereafter), should the
community successfully manage the resources. Yet, to date, limited evaluation
of these decentralization programs has taken place, so we do not know if these
programs are influencing tavy rates. The lack of monitoring reflects a global
trend, in that many integrated conservation and development projects have not
been successful at monitoring (Kremen et al. 1994). This has frustrated some conservationists,
leading some to acquire land that prevents a broad spectrum of local people
from receiving goods and services from the land. The importance of monitoring
the effectiveness of this approach can not be overstated.
In fact, the Malagasy
Forest Service has requested that no additional GCF contracts are put in place
until the existing ones can be evaluated. Thus,
The proposal for
Beahrs Small Grants Initiative funding for 2005 aims to build on the work of
Phase I of this project completed in 2004 in several ways. Under the 2003/04 exploratory pilot study,
critical factors to GCF success were identified, using the GCF in Ampatsy
forest as a case study (see Appendix A). However, to date, the relative
importance of these factors has been estimated based on qualitative
information. Thus, additional data collection
is needed to test the hypothesized relationships between these factors and
deforestation rates. An additional year of quantitative data collection,
expanded to several villages, should provide sufficient variation to develop a
more robust economic model. The goal is to develop a model, which in reflecting
the field realities faced by rural farmers, incorporates the critical factors
that influence farmers’ decisions to expand tavy. Second, during the pilot study, a list of
biological and socio-economic indicators were developed that will now be used
to monitor GCF implementation progress (Appendix B).
Third, during the
pilot study, a community questionnaire for self-monitoring was developed
(Appendix C). During Catherine Corson’s 2003 visit to
Fourth, DAI
monitoring staff will collaborate with the Forest Service staff so that both
community and institutional monitoring programs respond to the Forest Service
monitoring requirements. In this manner,
the Forest Service will have the required information to renew community contracts,
and donors, communities and the Forest Service will all rely on similar
guidelines to assess the success of community-based natural resource management
in
Finally, during the
pilot study, Geographic Information System (GIS) maps were developed showing
tavy rates and locations at the community level for the past several years (see
Appendix D). Aerial photography maps were ground-truthed using Global
Positioning Systems and community interviews. With good aerial photographs, one
can trace the history of the spread of tavy back 30 years. However, additional
aerial images are needed to more accurately capture the dynamics of tavy, and
the impact of program interventions, particularly GCF. Continued funding will
support the purchase of some additional images.
In sum, continued
collaboration has five aims: 1) further development of the economic model
showing the relative influences of various factors on deforestation rates; 2)
use of the developed indicators to measure community-based management progress;
3) implementation of a community-level
monitoring system; 4) collaboration with the Forest Service to ensure uniform
understanding of how community-based management systems should be evaluated;
and 5) additional collection of landscape data on changing tavy rates over
time. The primary value-added of the
Beahrs Small Grants Initiative support to these priorities is the partnership,
which brings together UC Berkeley’s technical expertise in scientific
evaluation methodology and DAI/USAID/local staff experience and knowledge in
community management. Moreover, it
raises awareness of ways to implement a sound evaluation and monitoring system
for community based natural resource management in
The case study site
will continue to be the community of Ampatsy in the commune of Alatsinainy
Ialamarina, in the central corridor of Fianarantsoa, which represents a
population of 16,000 inhabitants. The community of Ampatsy comprises 123
members. The
As mentioned above,
the collaboration between UC Berkeley and a Madagascar-based development professional
provides a unique opportunity to bring together UC Berkeley’s technical
expertise and field experience of both a local development organization and the
local community. LDI/Chemonics served as
that local organization in Phase I. Development Alternatives, Inc. (DAI) will
assume that role in Phase II.
Beahrs Environmental
Leadership Program Alumnus, Lisa Gaylord will succeed Alumnus Olga Ramaromanana
as the primary collaborator. Her expertise in monitoring and evaluating field
projects, as well as her contacts throughout the development community in
Dr. Adina
Merenlender, Associate Cooperative Extension Specialist and Adjunct Associate
Professor, Division of Ecosystem Management, ESPM, and Catherine Corson, PhD
Student, Division of Society and Environment, ESPM,
Based on their
experiences in biological and socioeconomic modeling, UC Berkeley collaborators
Adina Merenlender and Catherine Corson will continue to provide a positive
critical vision on ways to develop a model, that simply, but accurately reflect
the field realities surrounding deforestation.
In Phase I, Olga Ramaromanana took advantage of GIS for
regional mapping and GPS for site mapping, establishing the effectiveness of
GIS to integrate spatial and non-spatial data in these circumstances. As part of the Beahrs summer (2002) ELP
program, Adina Merenlender demonstrated some GIS models that integrated
physical, biological, and socio-economic information to inform policy scenario
development. Following these sessions,
Olga Ramaromanana, Adina Merenlender, and Catherine Corson discussed possible
improved ways of mapping, monitoring, and modeling LDI’s attempts at locally
based forest management programs. This
study then builds on the skills developed during the summer course at
The outputs resulting
from this process will be:
1)
further
development of the economic model showing the relative influences of various
factors on deforestation rates;
2)
collaboration
with the Forest Service to develop agreed upon, and methodologically-sound,
measurements of GCF success;
3)
implementation
of a community-level socioeconomic and biological monitoring system that the
community can monitor itself to ensure compliance with GCF; and
4)
refined
spatial data for analysis and incorporation into a spatially explicit model.
Furthermore, as indicated
above, the results of the collaboration will feed into a donor-driven effort to
evaluate the success to date of GCF and Gelose, as well as the identification
of key factors for program success.
Finally, most
importantly, support from Beahrs in 2003 provided a platform for continual
communication between local community, local institution, and
Funds from
SGI are requested to cover material and technical support to the monitoring and
evaluation team , round trip travel for Olga Ramaromanana,
Mauritius-Madagascar, and Catherine
Corson’s expenses to travel to the collaborative research site in
Thus, we hope that
There are limited
risks entailed in that the primary purpose is simply to improve the methodology
of evaluating community based natural resource management programs in
Kremen, C.,
Merenlender, A. M. and D, Murphy, 1994. Ecological monitoring: A vital need in
integrated conservation and development programs in the tropics. Conservation
Biology 8(2):1-10.