Explore the vast range of titles available.

An important part of conservation practice is the empirical evaluation of program and policy impacts. Understanding why conservation programs succeed or fail is essential for designing cost‐effective initiatives and for improving the livelihoods of natural resource users. The evidence we seek can be generated with modern impact evaluation designs. Such designs measure causal effects of specific interventions by comparing outcomes with the interventions to outcomes in credible counterfactual scenarios. Good designs also identify the conditions under which the causal effect arises. Despite a critical need for empirical evidence, conservation science has been slow to adopt these impact evaluation designs. We identify reasons for the slow rate of adoption and provide suggestions for mainstreaming impact evaluation in nature conservation.

The effectiveness of conservation interventions such as Payments for Environmental Services (PES) is often evaluated—if it is evaluated at all—only at the completion of the intervention. Since gains achieved by the intervention may be lost after it ends, even apparently successful interventions may not result in long-term conservation benefits, a problem known as that of permanence. This paper uses a unique dataset to examine the permanence of land use change induced by a short-term, asset-building PES program implemented in Quindío, Colombia, between 2003 and 2008. This the first PES program to have a control group for comparison. Under this program, PES had been found to have a positive and highly significant impact on land use. To assess the long-term permanence of these changes, both PES recipients and control households were re-surveyed in 2011, four years after the last payment was made. We find that the land use changes that had been induced by PES were broadly sustained in intervening years, with minor differences across specific practices and sub-groups of participants, indicating that these changes were in fact permanent. The patterns of change in the period after the PES program was completed also help better understand the reasons for the program’s success. These results suggest that, at least in the case of productive land uses such as silvopastoral practices under conditions such as those at the study site, asset-building PES programs can be effective at encouraging land owners to adopt environmentally-beneficial land management practices and that the benefits will persist after payments cease.

We assess the additional forest cover protected by 13 rural communities located in the southern state of Chiapas, Mexico, as a result of the economic incentives received through the country's national program of payments for biodiversity conservation. We use spatially explicit data at the intra-community level to define a credible counterfactual of conservation outcomes. We use covariate-matching specifications associated with spatially explicit variables and difference-in-difference estimators to determine the treatment effect. We estimate that the additional conservation represents between 12 and 14.7 percent of forest area enrolled in the program in comparison to control areas. Despite this high degree of additionality, we also observe lack of compliance in some plots participating in the PES program. This lack of compliance casts doubt on the ability of payments alone to guarantee long-term additionality in context of high deforestation rates, even with an augmented program budget or extension of participation to communities not yet enrolled.

Access to high quality spatial data raises fundamental questions about how to select the appropriate scale and unit of analysis. Studies that evaluate the impact of conservation programs have used multiple scales and areal units: from 5x5 km grids; to 30m pixels; to irregular units based on land uses or political boundaries. These choices affect the estimate of program impact. The bias associated with scale and unit selection is a part of a well-known dilemma called the modifiable areal unit problem (MAUP). We introduce this dilemma to the literature on impact evaluation and then explore the tradeoffs made when choosing different areal units. To illustrate the consequences of the MAUP, we begin by examining the effect of scale selection when evaluating a protected area in Mexico using real data. We then develop a Monte Carlo experiment that simulates a conservation intervention. We find that estimates of treatment effects and variable coefficients are only accurate under restrictive circumstances. Under more realistic conditions, we find biased estimates associated with scale choices that are both too large or too small relative to the data generating process or decision unit. In our context, the MAUP may reflect an errors in variables problem, where imprecise measures of the independent variables will bias the coefficient estimates toward zero. This problem may be pronounced at small scales of analysis. Aggregation may reduce this bias for continuous variables, but aggregation exacerbates bias when using a discrete measure of treatment. While we do not find a solution to these issues, even though treatment effects are generally underestimated. We conclude with suggestions on how researchers might navigate their choice of scale and aerial unit when evaluating conservation policies.

The PLOS ONE Collection \"Measuring forest conservation effectiveness\" brings together a series of studies that evaluate the effectiveness of tropical forest conservation policies and programs with the goal of measuring conservation success and associated co-benefits. This overview piece describes the geographic and methodological scope of these studies, as well as the policy instruments covered in the Collection as of June 2016. Focusing on forest cover change, we systematically compare the conservation effects estimated by the studies and discuss them in the light of previous findings in the literature. Nine studies estimated that annual conservation impacts on forest cover were below one percent, with two exceptions in Mexico and Indonesia. Differences in effect sizes are not only driven by the choice of conservation measures. One key lesson from the studies is the need to move beyond the current scientific focus of estimating average effects of undifferentiated conservation programs. The specific elements of the program design and the implementation context are equally important factors for understanding the effectiveness of conservation programs. Particularly critical will be a better understanding of the causal mechanisms through which conservation programs have impacts. To achieve this understanding we need advances in both theory and methods.

With the potential expansion of forest conservation programs spurred by climate-change agreements, there is a need to measure the extent to which such programs achieve their intended results. Conventional methods for evaluating conservation impact tend to be biased because they do not compare like areas or account for spatial relations. We assessed the effect of a conservation initiative that combined designation of protected areas with payments for environmental services to conserve over wintering habitat for the monarch butterfly (Danaus plexippus) in Mexico. To do so, we used a spatial-matching estimator that matches covariates among polygons and their neighbors. We measured avoided forest loss (avoided disturbance and deforestation) by comparing forest cover on protected and unprotected lands that were similar in terms of accessibility, governance, and forest type. Whereas conventional estimates of avoided forest loss suggest that conservation initiatives did not protect forest cover, we found evidence that the conservation measures are preserving forest cover. We found that the conservation measures protected between 200 ha and 710 ha (3-16%) of forest that is high-quality habitat for monarch butterflies, but had a smaller effect on total forest cover, preserving between 0 ha and 200 ha (0-2.5%) of forest with canopy cover > 70%. We suggest that future estimates of avoided forest loss be analyzed spatially to account for how forest loss occurs across the landscape.Given the forthcoming demand from donors and carbon financiers for estimates of avoided forest loss, we anticipate our methods and results will contribute to future studies that estimate the outcome of conservation efforts. Con la expansión potencial de programas de conservación de bosques estimulados por los acuerdos de cambio climático, es necesario medir el alcance de los resultados de tales programas. Los métodos convencionales para evaluar el impacto de la conservación tienden a ser sesgados porque no comparan áreas similares ni consideran relaciones espaciales. Evaluamos el efecto de una iniciativa de conservacion que combinó la designación de áreas protegidas con pagos por servicios ambientales para conservar el hábitat invernal de la mariposa monarca (Danaus plexippus) en México. Para ello, utilizamos un estimador espacial que combina covariables entre polígonos y sus vecinos. Medimos la pérdida de bosque evitada (perturbatión y deforestatión evitadas) mediante la comparatión de cobertura forestal en tierras protegidas y no protegidas que eran similares en términos de accesibilidad, gobernabilidad y tipo de bosque. Mientras las estimaciones convencionales de pérdida de bosque evitada sugieren que las iniciativas de conservatión no protegieron la cobertura forestal, encontramos evidencia de que las medidas de conservatión están preservando la cobertura forestal. Encontramos que las medidas de conservatión protegieron entre 200 y 710 ha (3-16%)de bosque que es hábitat de alta calidad para las mariposas monarca, pero tuvieron menos efecto sobre la cobertura forestal total, preservando entre 0 y 200 ha (0-2-5%) de bosque con cobertura de dosel > 70%.Sugerimos que estimaciones futuras de la pérdida de bosque evitada deben ser analizadas espacialmente para explicar como ocurre la pérdida de bosques en el paisaje. Dada la futura demanda de estimaciones de pérdida de bosque evitada por parte de donantes y financiadores de proyectos de carbono, anticipamos que nuestros métodos y resultados contribuirán a futuros estudios que estimen el resultado de esfuerzos de conservación.

Gains achieved by conservation interventions such as payments for environmental services (PES) may be lost upon termination of the program, a problem known as permanence. However, there have been few efforts to evaluate the permanence of conservation results. This article examines the permanence of land-use changes induced by a short-term PES program implemented between 2003 and 2008 in Matiguás-Río Blanco, Nicaragua. Under this program, PES had induced substantial adoption of silvopastoral practices. To assess the long-term permanence of these changes, participants were resurveyed in 2012, 4 years after the last payment was made. We find that the land-use changes that had been induced by PES were broadly sustained in intervening years, with minor differences across specific practices and subgroups of participants. The patterns of change in the period after the PES program were completed to help us understand the reasons for the program’s success and rule out alternative explanations for the program’s success. Our results suggest that, at least in the case of productive land uses such as silvopastoral practices, PES programs can be effective at encouraging land owners to adopt environmentally beneficial practices and that the benefits will persist after payments cease.

Facilitators must make important decisions when preparing for consultation workshops. One critical choice pertains to how much structure should be incorporated in a workshop and imposed on group discussions. Highly structured consultations may ensure efficiency and help produce specific outputs. However, too much structure may limit group discussion, creativity, or be ill received by participants. To examine the impacts of structure in a workshop consultation, we conducted a field experiment that compares structured and unstructured facilitation approaches in a workshop on participatory environmental monitoring. We randomized participants (n = 34) into two parallel sessions where they completed the same tasks of idea generation and prioritization but with contrasting facilitation approaches. We collected pre and post surveys to compare satisfaction between groups across a range of variables. We find that structured facilitation with small group discussions provide a modest yet consistent improvement over the unstructured facilitation approach. We also find that women and men had very different perceptions about the level of women’s participation in the session. Experimental research designs are feasible for learning about facilitation methods and testing best practices in public participation and consultations.

Water issues are a major concern for the mining sector and for communities living near mining operations. Water-related conflicts can damage a firm’s social license to operate while violent conflicts pose devastating impacts on community well-being. Collaborative approaches to water management are gaining attention as a proactive solution to prevent conflict. One manifestation of these efforts is participatory water monitoring (PWM). PWM programs have the potential to generate new scientific information on water quantity and quality, improve scientific literacy, generate trust among stakeholders, improve water resource management and ultimately mitigate conflict. The emergence of PWM programs signals a shift toward greater stakeholder collaboration and more inclusive water governance within mining regions. In this article, we propose a new framework to evaluate the degree and extent of community involvement in PWM programs. This framework builds on citizen science literature. When applied to 20 cases in Latin America, notable differences in the degree of community and company participation between PWM programs are found. These differences suggest that companies and communities approach these programs from very different points of view. It is concluded that more attentive collaboration between firms and communities in the design of the program, the collection of data and interpretation of the results is needed to effectively build trust through PWM.

Calm and quiet green spaces provide health benefits for urban residents. Yet as cities become more densely populated, increasing public users to green spaces may reduce or moderate these benefits. We examine how increased pedestrian density in a green street changes self-reported wellbeing. We use a between subject experimental design that added public users as confederates in randomly selected periods over three weeks. We collect data on mood and affective response from pedestrians moving through the green street (n = 504), with and without our public user treatment in randomly selected periods. Mood and affective response are improved when experiencing the green street with fewer people. We find that an increased number of public users in the green space has a negative effect on mood, especially among women. We provide experimental evidence that self-reported wellbeing in urban green spaces depends on social context, and that there are gender inequities associated with changes in affective response. Although we only measure immediate impacts, our results imply that the health benefits of green spaces may be limited by the total number of users. This research contributes additional evidence that greener cities are also healthier cities, but that the benefits may not be equally shared between women and men and will depend on the social context of use.