| Home > News and Events > RAVA and PEN: Combining strengths for a better understanding of Amazonian livelihoods |
RAVA and PEN: Combining strengths for a better understanding of Amazonian livelihoods
The Amazon Livelihood and Environment Network (known by its
Spanish acronym, RAVA) is a PEN-inspired project. It was
initiated in 2007 by the World Agroforestry Centre (ICRAF) and
other partner institutions within the Amazon Initiative (AI)
Consortium, with financial support from the World Bank’s
Institutional Development Fund, and in-kind co-financing from
ICRAF, CIFOR and other AI member institutions. The objective of
the network is to analyse the living conditions of various
Amazonian communities and develop a baseline on how forestry,
agroforestry and agricultural activities contribute to the
wellbeing of these communities, as well as to the conservation
of the surrounding environment.
Since field research activities began in late 2007, socioeconomic studies
have been carried out across 14 sites in seven Amazonian countries. Two of these
sites comprise joint PEN–RAVA studies: Abaetetuba, Brazil and Sumaco, Ecuador.
Following PEN guidelines, each location of the RAVA study is a well-defined
territory equivalent to one or more districts, or to an Amazonian river basin
that is home to communities that are directly dependent on the forest and its
products or on other natural resources.
RAVA uses PEN methodology. Compared to PEN protocols, RAVA questionnaires
include a few additional sessions on agriculture and agroforestry land use and
income. RAVA research is performed through direct collaboration with Amazonian
universities and local institutions. In each RAVA site, a small research team
typically includes a university professor from a local university, a
postgraduate student, and a researcher or technician from a local institution.
Cooperation agreements were signed with 14 local institutions for the purpose of
conducting RAVA research. Each team has been responsible for coordinating
co-participation with other partner institutions active in the locations where
the studies are being implemented and, in particular, identifying students from
Amazonian universities as members of local research teams. The resulting RAVA
network comprises 25 institutions operating through 14 research sites. Nine of
the 25 institutions are Amazonian universities (see Table 1).
To date, researchers have finished collecting data in five of the seven
countries, with field work still going on in Venezuela and Suriname. A database
of 2200 households in almost 150 communities will be assembled through the
integration of data from the 14 surveys. During the next 6 months, teams will be
checking and cleaning the data already gathered and entered. After the initial
STATA course by Ronnie Babigumira, who was a resource person for the third RAVA
workshop in May 2009 (Belém, Brazil), teams are receiving online training in
STATA, through modular sessions. There are plans to produce an edited volume
about RAVA research, as well as publications aimed at sharing useful study
results with the subject communities themselves.
Another relevant development for RAVA has been communication and knowledge
sharing among the 14 research teams. This has been made possible through the
work of the Amazon Initiative communication and IT teams. In addition to the
RAVA website (www.iamazonica.org.br/rava)
developed in late 2007 and continually updated with site-level information, a
RAVA intranet is currently used by more than 60 network participants. The
intranet allows the sharing of project documents and images, the establishment
of specific thematic forums, and the use of chat rooms, among other functions.
The achievements of the RAVA network have been assessed positively. The
practice of extensive fieldwork and data entry, combined with a steady internal
communication process and the training provided through three regional
workshops, have built a strong sense of collaboration among the groups. The
stage has been set for the consolidation of site-level databases and their
subsequent integration as a solid regional database on livelihoods and
environment, providing a better understanding of Amazonian livelihoods in
vulnerable communities in the region.
|