Presented by Manuel R. Guariguata (CIFOR) at the World Conference on Ecological Restoration (SER 2017) in Foz do Iguassu, Paraná (Brazil), on September 1, 2017.
Session: Forest restoration for the support of livelihoods and generation of ecosystem services.
Connecting the local with the global: Participatory monitoring in forest landscape restoration
1. Connecting the local with the global:
participatory monitoring in Forest Landscape
Restoration
Manuel R. Guariguata & Kristen Evans
2. Why participatory?
• Quantifying deforestation vs. reforestation
“from above” is becoming less of a sharp
dichotomy
• Yet even with sophisticated tools, local
involvement in monitoring helps to discern
what drives either success or failure
• Major political committments on restoring
degraded areas have been significant drivers
over the last years—upscaling is needed
3. Connecting stakeholders across scales
Meet restoration targets
Compare progress across sites or projects
“Upscale”
Track progress to restoration goals
Ensure benefits and incentives for locals
Catalyze learning and adaptation
LOCAL
NATIONAL
4. Disaggregating participatory monitoring
(adapted from Danielsen et al. 2009)
•
Category
Primary data
gatherers
Primary users of
data
Externally driven,
professionally executed
professional researchers professional researchers
Externally driven with local
data collectors
professional researchers,
local people
professional researchers
Collaborative monitoring
with external data
interpretation
local people with
professional researcher
advice
local people and
professional researchers
Collaborative monitoring
with local data
interpretation
local people with
professional researcher
advice
local people
Autonomous local
monitoring
local people local people
5. Key messages
• Local involvement is necessary
for long-term restoration success
o Creates sense of ownership, buy-in
and trust
o Increases speed and effectiveness
of local decision-making
o Catalyzes social learning and
adaptive management
6. Lessons learned
• Local monitors can provide reliable
data with appropriate training,
motivation and cross-checking
• Local monitoring can be cost effective
– but it requires investment
• Planning and implementing a localy-
based monitoring system is a slow
process
• Generating and maintaining local
participation can be challenging
7. Essential elements
1. Set up a monitoring system and a
mechanism to oversee it
2. Make the monitoring plans at the
beginning
3. Dedicate funds for participatory
monitoring (at least 10%)
5. Collaborativelly set goals and identify a
small number of shared indicators
6. Pick locally appropriate technologies
that collect data adequate for decision-
making
7. Involve women and marginalized groups
8. Encourage social learning
9. Do not impose excessive costs locally
8. A “reality check”
• Only 10% of 3,700 river restoration projects in
the USA carried out monitoring (Bernhardt et al. 2005)
• 94 % of 301 articles on ecological restoration
focused on biophysical outcomes (Wortley et al. 2013)
• 96% of 119 ecological restoration projects in
Colombia only monitored short-term goals and
involved minimal local participation (Murcia & Guariguata
2014)
• Across Andean-amazonian countries, lack of
political will to fund monitoring in national
restoration plans (Murcia et al. 2017)
9. Upscaling: challenges ahead
• A participatory monitoring system can face
challenges in balancing national vs. local
needs and goals
o governance bottlenecks across scales may hamper
progress
• Learn from the past
o Indicators that represent drivers of reforestation
success are usually ignored
o Consider a participatory monitoring system that
integrates both indicators and local drivers of
success
10. Upscaling: challenges ahead
• Why monitor--what questions need to be answered?
• How monitoring will inform decision-making on the
ground and who needs to be involved?
• Who will do the monitoring, and who will manage
and centralize the data?
• Who will be responsible for getting the monitoring
done, building the system, and paying for it?
• Avoid creating long lists of indicators that only a few
can monitor often due to technical and financial
constraints.
Participatory monitoring is a system that involves stakeholders from multiple levels – especially local people – in a meaningful way in the design, collection and analysis of monitoring data leading to decision making about the progress and success of forest restoration initiatives.
Participatory monitoring is a learning tool, not a panacea.
We are focusing on the middle one in orange as the most appropriate type of PM for forest restoration projects. Variants include the light orange ones.
If ambitious global restoration targets are to be met, local buy-in will be important, and involving a wide range of stakeholders and landholders in a meaningful way will be necessary.
Participatory, inclusive processes that engage multiple stakeholders are more likely to lead to restoration success (Reed et al., 2016, p. 6),
Provide a crucial sense of ownership for local people, and they helps convince local people that they will benefit from restoration (DellaSala et al., 2003; Sayer et al., 2013).
Newton et al. (2012) found the biggest obstacle to the success of restoration in their study of restoration across the drylands of Latin America was the lack of public policies that consider public participation in decision-making.
Including local people in monitoring enhances management decision making and responses at the local level and increases the speed of response to issues or problems that emerge. Danielsen et al. (2010) reviewed 104 cases of monitoring schemes to assess whether participation in data collection and analysis influences the speed and scale of decision making and action. They found that scientist-executed monitoring informs decisions within regions, nations and international conventions and takes 3–9 years to be implemented. At the village level, monitoring that involves local people and is related to resource utilization is much more effective at influencing decisions and takes up to 1 year to implement. In contrast, scientist-executed monitoring has little impact at the village scale, where most natural resource use decision making occurs.
Layout: Content with Portrait Picture
Variation: none