Numerous types of forest conservation policies are being implemented in the tropics today. Alongside traditional instruments like protected areas, incentives like integrated conservation and development programs, certification schemes, and payments for environmental services (PES) are also being carried out.
Yet rigorously quantified knowledge about what works and what does not work remains highly fragmented, especially for incentive-based tools.
A recent study attempts to change that. Scientists compiled new evidence and insights from 13 evaluation studies of forest conservation initiatives covering eight countries across four continents. Considering how scarce the current evidence base is, the new research provides innovative food for thought.
Conservation effects were calculated in terms of annual forest cover change. Four studies looked at the effectiveness of protected areas in Brazil, Chile, Costa Rica and Indonesia. They showed incremental conservation effects in the range of 0.08% to 0.59% per year.
In the most effective protected areas (in this case the Brazilian Amazon), almost 6 percent more forest cover would be safeguarded in comparison to unprotected land in the span of just one decade. In the case of the least effective protected areas (in this case Indonesia), just 0.8 percent more forest cover would be preserved over a 10-year period.
Three additional studies from Brazil measured the effectiveness of other command-and-control policy tools within the mix of instruments that have jointly helped reduce Amazonian deforestation by more than two thirds since 2004.
Forest law enforcement and an innovative public disclosure of legal offenders were found to reduce annual forest loss by 0.13 percent and 0.29 percent respectively. Meanwhile, a jurisdictional conservation approach that involved budgetary incentives to local governments in the Eastern Amazon contributed to reducing deforestation rates in some, but not all, years.
Evaluating incentive-based conservation
The study also examines incentive-based approaches to conservation by looking at two PES schemes in Costa Rica and Mexico.
The Costa Rican program exhibited intermediate forest conservation effects of 0.32 percent per year, whereas the sub-national Mexican scheme boasted a strong 2.91 percent annual conservation increment. The long-term effects of PES were evaluated by a study on a sub-national payment scheme in Colombia, where impacts were almost entirely maintained even after the program ended. Hence, where a previous meta-study had mostly found low environmental impacts from PES schemes, these new studies paint a somewhat more optimistic picture.
The overall largest forest conservation impact (4.56 percent annually) among incentive tools was measured when comparing forest cover changes between certified and non-certified timber concessions in Indonesia.
Conservation and livelihoods
Three studies featured in the research also examined the socio-economic and development impacts of forest conservation policies. PES in Costa Rica were found to be welfare-neutral, whereas community-based forest management initiatives in Tanzania and Namibia exhibited significant positive effects on health and educational outcomes.
Apart from providing empirical evidence on the effectiveness of forest conservation policies, the study also features methodological contributions that focus on the challenges involved in evaluating area-based policy interventions and PES programs.
What works and what does not is more than a question of choice between policy instruments. Both instrument design and the implementation context matter significantly.
It is possible to design and roll out effective tropical conservation policies that do not hurt the welfare of rural populations. Effective conservation is not merely about choosing the right policy tool. It is just as much about identifying the adequate policy mix, and designing customized interventions that fit local or regional contexts.
To learn more from conservation impact evaluation in the future, we need innovative studies that go beyond average treatment effects to link variable performance in space and time to variations in instrument design and in underlying environmental pressures.
Explore further: Is conservation aid preventing deforestation?
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