Integrating socioeconomic and ecological data into restoration practice.

Driven by the United Nations Decade on Restoration and international funding initiatives, such as the Mangrove Breakthrough, investment in mangrove restoration is expected to increase. Yet, mangrove restoration efforts frequently fail, usually because of ad hoc site-selection processes that do not consider mangrove ecology and the socioeconomic context. Using decision analysis, we developed an approach that accounts for socioeconomic and ecological data to identify sites with the highest likelihood of mangrove restoration success. We applied our approach in the Biosphere Reserve Marismas Nacionales Nayarit, Mexico, an area that recently received funding for implementing mangrove restoration actions. We identified 468 potential restoration sites, assessed their restorability potential based on socioeconomic and ecological metrics, and ranked sites for implementation with spatial optimization. The metrics we used included favorable conditions for propagules to establish and survive under sea-level rise, provision of ecosystem services, and community dynamics. Sites that were selected based on socioeconomic or ecological metrics alone had lower likelihood of mangrove restoration success than sites that were selected based on integrated socioeconomic and ecological metrics. For example, selecting sites based on only socioeconomic metrics captured 16% of the maximum attainable value of functioning mangroves able to provide propagules to potential restoration sites, whereas selecting sites based on ecological and socioeconomic metrics captured 46% of functioning mangroves. Our approach was developed as part of a collaboration between nongovernmental organizations, local government, and academics under rapid delivery time lines given preexisting mangrove restoration implementation commitments. The systematic decision process we used integrated socioeconomic and ecological considerations even under short delivery deadlines, and our approach can be adapted to help mangrove restoration site-selection decisions elsewhere.

Integración de datos socioeconómicos y ecológicos en las prácticas de restauración Resumen Se espera que la inversión en la restauración de los manglares incremente debido a la Década de Restauración de las Naciones Unidad y las iniciativas internacionales de financiamiento, como The Mangrove Breakthrough. Sin embargo, los esfuerzos de restauración de manglares fallan con frecuencia, generalmente por los procesos de selección de sitios ad­hoc que no consideran la ecología del manglar y el contexto socioeconómico. Usamos el análisis de decisiones para desarrollar una estrategia que considera los datos socioeconómicos y ecológicos para identificar los sitios con mayor probabilidad de éxito de restauración. Aplicamos nuestra estrategia en la Reserva de la Biósfera Marismas Nacionales Nayarit, México, un área que recibió financiamiento reciente para la restauración del manglar. Identificamos 468 sitios potencialmente restaurables, evaluamos su potencial de restauración con base en medidas ecológicas y socioeconómicas y clasificamos los sitios para la implementación con la optimización espacial. Las medidas que usamos incluían las condiciones favorables para que los propágulos se establezcan y sobrevivan con el incremento en el nivel del mar, el suministro de servicios ambientales y las dinámicas de la comunidad. Los sitios seleccionados sólo con base en las medidas ecológicas o socioeconómicas tuvieron una menor probabilidad de éxito de restauración que los sitios que se seleccionaron con base en medidas socioeconómicas y ecológicas integradas. Por ejemplo, la selección de sitios con base sólo en las medidas socioeconómicas capturó el 16% del máximo valor alcanzable de manglares funcionales capaces de proporcionar propágulos a los sitios potenciales de restauración, mientras que la selección basada en medidas ecológicas y socioeconómicas capturó el 46% de los manglares funcionales. Desarrollamos nuestra estrategia como parte de una colaboración entre organizaciones no gubernamentales, el gobierno local y académicos sujetos a una fecha pronta de entrega debido a los compromisos preexistentes para la restauración de manglares. El proceso de decisión sistemática que usamos integró las consideraciones ecológicas y socioeconómicas incluso con plazos cortos de entrega. Nuestra estrategia puede adaptarse para apoyar en la selección de sitios de restauración de manglares en otros sitios.

Incorporation of human-wildlife interactions in ecosystem-based management to enhance conservation of endangered guitarfish.

Growing human use of the marine environment increases the proximity of humans to marine wildlife and thus likely increases human-wildlife interactions. Such interactions influence perceptions of nature and promote or undermine conservation. Despite their importance, human-wildlife interactions are rarely considered in ecosystem-based marine spatial planning (MSP). Ideally, these interactions should be identified and considered in ecosystem-based management (EBM), which is often purported to be the basis for MSP. We used Marxan software and data from a citizen science project documenting location, species, age, sex, and activity type to identify regions along Israel's coast with a high probability of encounters between people and 2 species of guitarfish. We considered the geographic distribution of these encounters and the various activities undertaken by the reporting observers. We ran 4 scenarios in Marxan. Two had conservation goals of 30% and 50% guitarfish habitat protection. In the third and fourth scenarios, we added a 50% conservation goal of human leisure activities to each guitarfish conservation goal. We also conducted a gap analysis between our guitarfish conservation goals and the Israel Nature and Parks Authority's master plan for marine protected areas. We found the park authority was close to meeting the 30% goal but was far from meeting the conservation goal of 50% of guitarfish habitat conservation. Different human uses were more likely to interact with different life stages of guitarfish, and different recreational activities occurred in different areas. Identifying areas of specific human use showed which activities should be addressed in conservation management decisions. Our addition of certain recreational uses to the model of habitat conservation showed how enhancing human dimensions in conservation planning can lead to more holistic ecosystem-based conservation necessary for effective marine planning.

Incorporación de las interacciones humano­fauna dentro de la gestión basada en el ecosistema para mejorar la conservación del pez guitarra en peligro Resumen El uso creciente que el humano le da al mar incrementa la cercanía de las personas con la fauna marina, lo que probablemente incrementa las interacciones humano­fauna. Dichas interacciones influyen sobre las percepciones que se tienen de la naturaleza y promueven debilitan la conservación. A pesar de su importancia, pocas veces se consideran las relaciones humano­fauna dentro de la planeación espacial basada en ecosistemas marinos (PEM). Lo ideal debería ser la identificación y consideración de estas interacciones dentro de la gestión basada en el ecosistema (GBE), la cual con frecuencia se considera como la base de la PEM. Usamos software Marxan y datos de un proyecto de ciencia ciudadana que documenta la ubicación, especie, edad, sexo y tipo de actividad para identificar las regiones de la costa de Israel con una alta probabilidad de encuentros entre las personas y dos especies de pez guitarra. Consideramos la distribución geográfica de estos encuentros y las diferentes actividades que realizan los observadores. En Marxan corrimos cuatro escenarios. Dos de los escenarios contaban objetivos de conservación del 30% y 50% de la protección del hábitat del pez guitarra. En los otros dos escenarios, añadimos un objetivo de conservación de 50% de las actividades humanas de recreación a los objetivos uno y dos. También realizamos un análisis de brecha entre los objetivos de conservación del pez guitarra y el plan maestro para las áreas marinas protegidas de la Autoridad de Parques y Naturaleza de Israel. Descubrimos que esta autoridad estaba cerca de lograr el objetivo del 30% pero lejos del de 50% de la conservación del hábitat del pez guitarra. Fue más probable que los diferentes usos humanos interactuaran con diferentes estadios de vida del pez guitarra y las diversas actividades recreativas ocurrieron en áreas distintas. La identificación de las áreas con un uso humano específico mostró cuáles actividades deberían abordarse en las decisiones de gestión de la conservación. La suma de ciertos usos recreativos al modelo de conservación del hábitat mostró cómo aumentar las dimensiones humanas en la planeación de la conservación puede derivar en una conservación basada en el ecosistema más holística, necesaria para la planeación marina eficiente.

Integrating larval connectivity into the marine conservation decision-making process across spatial scales.

Larval dispersal connectivity is typically integrated into spatial conservation decisions at regional or national scales, but implementing agencies struggle with translating these methods to local scales. We used larval dispersal connectivity at regional (hundreds of kilometers) and local (tens of kilometers) scales to aid in design of networks of no-take reserves in Southeast Sulawesi, Indonesia. We used Marxan with Connectivity informed by biophysical larval dispersal models and remotely sensed coral reef habitat data to design marine reserve networks for 4 commercially important reef species across the region. We complemented regional spatial prioritization with decision trees that combined network-based connectivity metrics and habitat quality to design reserve boundaries locally. Decision trees were used in consensus-based workshops with stakeholders to qualitatively assess site desirability, and Marxan was used to identify areas for subsequent network expansion. Priority areas for protection and expected benefits differed among species, with little overlap in reserve network solutions. Because reef quality varied considerably across reefs, we suggest reef degradation must inform the interpretation of larval dispersal patterns and the conservation benefits achievable from protecting reefs. Our methods can be readily applied by conservation practitioners, in this region and elsewhere, to integrate connectivity data across multiple spatial scales.

Integración de la conectividad larval al proceso de toma de decisiones en la conservación marina en escalas espaciales Resumen Comúnmente se integra la conectividad de la dispersión larval a las decisiones de conservación espacial a escalas regionales o nacionales, pero las agencias de implementación luchan con la transferencia de estos métodos a las escalas locales. Usamos la conectividad de la dispersión larval a escalas regionales (cientos de kilómetros) y locales (decenas de kilómetros) para ayudar en el diseño de redes de reservas con protección total en Sulawesi Sudoriental, Indonesia. Usamos Marxan con la conectividad guiada por los modelos biofísicos de dispersión larval y detectamos a distancia los datos de hábitat de los arrecifes de coral para diseñar redes de reservas marinas para cuatro especies de importancia comercial en la región. Complementamos la priorización espacial regional con árboles de decisión que combinaron medidas de conectividad basadas en las redes y la calidad del hábitat para diseñar localmente los límites de la reserva. Usamos los árboles de decisión con los actores en talleres basados en el consenso para evaluar cualitativamente la conveniencia del sitio. También usamos Marxan para identificar áreas para la expansión subsecuente de la red. Las áreas prioritarias para la protección y los beneficios esperados difirieron entre especies, con un traslape reducido en las soluciones de la red de reservas. Ya que la calidad del arrecife varió considerablemente entre los arrecifes, sugerimos que la degradación de estos debe orientar la interpretación de los patrones de dispersión larval y los beneficios de conservación alcanzables con la protección de los arrecifes. Los practicantes de la conservación pueden aplicar nuestros métodos inmediatamente, en esta región o en cualquier otra, para integrar los datos de conectividad en varias escalas espaciales.

How decisions about fitting species distribution models affect conservation outcomes.

Species distribution models (SDMs) are increasingly used in conservation and land-use planning as inputs to describe biodiversity patterns. These models can be built in different ways, and decisions about data preparation, selection of predictor variables, model fitting, and evaluation all alter the resulting predictions. Commonly, the true distribution of species is unknown and independent data to verify which SDM variant to choose are lacking. Such model uncertainty is of concern to planners. We analyzed how 11 routine decisions about model complexity, predictors, bias treatment, and setting thresholds for predicted values altered conservation priority patterns across 25 species. Models were created with MaxEnt and run through Zonation to determine the priority rank of sites. Although all SDM variants performed well (area under the curve >0.7), they produced spatially different predictions for species and different conservation priority solutions. Priorities were most strongly altered by decisions to not address bias or to apply binary thresholds to predicted values; on average 40% and 35%, respectively, of all grid cells received an opposite priority ranking. Forcing high model complexity altered conservation solutions less than forcing simplicity (14% and 24% of cells with opposite rank values, respectively). Use of fewer species records to build models or choosing alternative bias treatments had intermediate effects (25% and 23%, respectively). Depending on modeling choices, priority areas overlapped as little as 10-20% with the baseline solution, affecting top and bottom priorities differently. Our results demonstrate the extent of model-based uncertainty and quantify the relative impacts of SDM building decisions. When it is uncertain what the best SDM approach and conservation plan is, solving uncertainty or considering alterative options is most important for those decisions that change plans the most.

Efecto de las Decisiones sobre Modelos Adecuados de Distribución de Especies sobre los Resultados de Conservación Resumen Los modelos de distribución de especies (MDEs) se usan cada vez más en la planeación de la conservación y del uso de suelo como contribuciones para describir los patrones de la biodiversidad. Estos modelos pueden construirse de maneras diferentes y las decisiones sobre la preparación de datos, selección de las variables de pronóstico y la adecuación y evaluación del modelo alteran las predicciones resultantes. Generalmente, la verdadera distribución de las especies se desconoce y se carece de los datos independientes para verificar cuál variante de MDE elegir. Dicha incertidumbre con los modelos es preocupante para los planificadores. Analizamos cómo once decisiones rutinarias sobre el modelo, su complejidad, los predictores, el tratamiento del sesgo y el establecimiento de umbrales para los valores pronosticados alteraron los patrones de prioridades de conservación para 25 especies. Creamos los modelos con MaxEnt y los corrimos en Zonation para determinar el rango de prioridad de los sitios. Aunque todas las variantes de los MDE tuvieron un buen desempeño (área bajo la curva >0.7), todos produjeron predicciones espaciales diferentes para las especies y diferentes soluciones prioritarias de conservación. Las prioridades tuvieron la alteración más fuerte cuando se decidió no considerar el sesgo o aplicar umbrales binarios a los valores pronosticados; en promedio, el 40% y 35%, respectivamente, de todas las celdas de la cuadrícula recibieron una clasificación opuesta de prioridad. Cuando se forzó una complejidad alta para el modelo, se alteraron menos las soluciones de conservación que cuando se forzó la simplicidad (14% y 24% de las celdas con valores opuestos de clasificación, respectivamente). El uso de menos registros de especies para construir modelos o elegir tratamientos alternativos para el sesgo tuvo efectos intermedios (25% y 23%, respectivamente). Según la elección del modelo, las áreas prioritarias se traslaparon mínimamente en 10-20% con la solución de la línea base, afectando a las prioridades de arriba y abajo de maneras diferentes. Nuestros resultados demuestran el alcance de la incertidumbre basada en los modelos y cuantifican el impacto relativo de las decisiones al construir los MDE. Cuando no es seguro cuál es el mejor plan de conservación ni la mejor estrategia de MDE, es de suma importancia solucionar la incertidumbre o considerar soluciones alternativas para aquellas decisiones que más cambian los planes.

Using individual-based movement information to identify spatial conservation priorities for mobile species.

The optimal design of reserve networks and fisheries closures depends on species occurrence information and knowledge of how anthropogenic impacts interact with the species concerned. However, challenges in surveying mobile and cryptic species over adequate spatial and temporal scales can mask the importance of particular habitats, leading to uncertainty about which areas to protect to optimize conservation efforts. We investigated how telemetry-derived locations can help guide the scale and timing of fisheries closures with the aim of reducing threatened species bycatch. Forty juvenile speartooth sharks (Glyphis glyphis) were monitored over 22 months with implanted acoustic transmitters and an array of hydrophone receivers. Using the decision-support tool Marxan, we formulated a permanent fisheries closure that prioritized areas used more frequently by tagged sharks and considered areas perceived as having high value to fisheries. To explore how the size of the permanent closure compared with an alternative set of time-area closures (i.e., where different areas were closed to fishing at different times of year), we used a cluster analysis to group months that had similar arrangements of selected planning units (informed by shark movements during that month) into 2 time-area closures. Sharks were consistent in their timing and direction of migratory movements, but the number of tagged sharks made a big difference in the placement of the permanent closure; 30 individuals were needed to capture behavioral heterogeneity. The dry-season (May-January) and wet-season (February-April) time-area closures opened 20% and 25% more planning units to fishing, respectively, compared with the permanent closure with boundaries fixed in space and time. Our results show that telemetry has the potential to inform and improve spatial management of mobile species and that the temporal component of tracking data can be incorporated into prioritizations to reduce possible impacts of spatial closures on established fisheries.

Uso de Información de Movimiento Basada en Individuos para Identificar las Prioridades de Conservación Espacial para las Especies Móviles Resumen El diseño óptimo de redes de reservas y los cierres de pesquerías depende de la información sobre la presencia de especies y del conocimiento sobre cómo los impactos antropogénicos interactúan con las especies afectadas. Sin embargo, las dificultades que existen al monitorear especies móviles y crípticas en escalas espaciales y temporales adecuadas pueden enmascarar la importancia de los hábitats particulares, lo que resulta en incertidumbre con respecto a cuáles áreas proteger para optimizar los esfuerzos de conservación. Investigamos cómo las ubicaciones derivadas de la telemetría pueden ayudar a guiar la escala y el momento justo del cierre de las pesquerías con el objetivo de reducir la captura accesoria de especies amenazadas. Se monitorearon 40 tiburones lanza juveniles (Glyphis glyphis) durante 22 meses con transmisores acústicos implantados y una selección de receptores hidrofónicos. Con la herramienta de apoyo para la toma de decisiones Marxan, formulamos un cierre de pesquerías permanente que priorizó las áreas usadas con frecuencia por los tiburones marcados y que consideraba a las áreas percibidas como altamente valiosas para las pesquerías. Para explorar cómo el tamaño del cierre permanente se comparaba con un conjunto de cierres con áreas y tiempos alternativos (es decir, donde las áreas se cerraron a la pesca en diferentes momentos del año) usamos un análisis de clúster para agrupar los meses que tuvieron arreglos similares a las unidades de planeación seleccionadas (informadas por el movimiento de los tiburones durante ese mes) en dos cierres de tiempo-área. Los tiburones fueron consistentes en el tiempo y dirección de sus movimientos migratorios, pero el número de tiburones marcados generó una gran diferencia en la ubicación del cierre permanente; se necesitaron 30 individuos para capturar la heterogeneidad del comportamiento. Los cierres de tiempo-área de la temporada de secas (mayo - enero) y la de lluvias (febrero - abril) abrieron a la pesca un 20% y 25% más de unidades de planeación, respectivamente, en comparación con el cierre permanente con barreras fijas en el tiempo y el espacio. Nuestros resultados muestran que la telemetría tiene el potencial para informar y mejorar el manejo espacial de las especies móviles y que el componente temporal de los datos de rastreo puede ser incorporado a las priorizaciones para reducir los posibles impactos del manejo sobre las pesquerías establecidas.

Effects of preference heterogeneity among landowners on spatial conservation prioritization.

The participation of private landowners in conservation is crucial to efficient biodiversity conservation. This is especially the case in settings where the share of private ownership is large and the economic costs associated with land acquisition are high. We used probit regression analysis and historical participation data to examine the likelihood of participation of Danish forest owners in a voluntary conservation program. We used the results to spatially predict the likelihood of participation of all forest owners in Denmark. We merged spatial data on the presence of forest, cadastral information on participation contracts, and individual-level socioeconomic information about the forest owners and their households. We included predicted participation in a probability model for species survival. Uninformed and informed (included land owner characteristics) models were then incorporated into a spatial prioritization for conservation of unmanaged forests. The choice models are based on sociodemographic data on the entire population of Danish forest owners and historical data on their participation in conservation schemes. Inclusion in the model of information on private landowners' willingness to supply land for conservation yielded at intermediate budget levels up to 30% more expected species coverage than the uninformed prioritization scheme. Our landowner-choice model provides an example of moving toward more implementable conservation planning.

Multispecies genetic objectives in spatial conservation planning.

Growing threats to biodiversity and global alteration of habitats and species distributions make it increasingly necessary to consider evolutionary patterns in conservation decision making. Yet, there is no clear-cut guidance on how genetic features can be incorporated into conservation-planning processes, despite multiple molecular markers and several genetic metrics for each marker type to choose from. Genetic patterns differ between species, but the potential tradeoffs among genetic objectives for multiple species in conservation planning are currently understudied. We compared spatial conservation prioritizations derived from 2 metrics of genetic diversity (nucleotide and haplotype diversity) and 2 metrics of genetic isolation (private haplotypes and local genetic differentiation) in mitochondrial DNA of 5 marine species. We compared outcomes of conservation plans based only on habitat representation with plans based on genetic data and habitat representation. Fewer priority areas were selected for conservation plans based solely on habitat representation than on plans that included habitat and genetic data. All 4 genetic metrics selected approximately similar conservation-priority areas, which is likely a result of prioritizing genetic patterns across a genetically diverse array of species. Largely, our results suggest that multispecies genetic conservation objectives are vital to creating protected-area networks that appropriately preserve community-level evolutionary patterns.

Use of demand for and spatial flow of ecosystem services to identify priority areas.

Policies and research increasingly focus on the protection of ecosystem services (ESs) through priority-area conservation. Priority areas for ESs should be identified based on ES capacity and ES demand and account for the connections between areas of ES capacity and demand (flow) resulting in areas of unique demand-supply connections (flow zones). We tested ways to account for ES demand and flow zones to identify priority areas in the European Union. We mapped the capacity and demand of a global (carbon sequestration), a regional (flood regulation), and 3 local ESs (air quality, pollination, and urban leisure). We used Zonation software to identify priority areas for ESs based on 6 tests: with and without accounting for ES demand and 4 tests that accounted for the effect of ES flow zone. There was only 37.1% overlap between the 25% of priority areas that encompassed the most ESs with and without accounting for ES demand. The level of ESs maintained in the priority areas increased from 23.2% to 57.9% after accounting for ES demand, especially for ESs with a small flow zone. Accounting for flow zone had a small effect on the location of priority areas and level of ESs maintained but resulted in fewer flow zones without ES maintained relative to ignoring flow zones. Accounting for demand and flow zones enhanced representation and distribution of ESs with local to regional flow zones without large trade-offs relative to the global ES. We found that ignoring ES demand led to the identification of priority areas in remote regions where benefits from ES capacity to society were small. Incorporating ESs in conservation planning should therefore always account for ES demand to identify an effective priority network for ESs.

Understanding the effects of different social data on selecting priority conservation areas.

Conservation success is contingent on assessing social and environmental factors so that cost-effective implementation of strategies and actions can be placed in a broad social-ecological context. Until now, the focus has been on how to include spatially explicit social data in conservation planning, whereas the value of different kinds of social data has received limited attention. In a regional systematic conservation planning case study in Australia, we examined the spatial concurrence of a range of spatially explicit social values and land-use preferences collected using a public participation geographic information system and biological data. We used Zonation to integrate the social data with the biological data in a series of spatial-prioritization scenarios to determine the effect of the different types of social data on spatial prioritization compared with biological data alone. The type of social data (i.e., conservation opportunities or constraints) significantly affected spatial prioritization outcomes. The integration of social values and land-use preferences under different scenarios was highly variable and generated spatial prioritizations 1.2-51% different from those based on biological data alone. The inclusion of conservation-compatible values and preferences added relatively few new areas to conservation priorities, whereas including noncompatible economic values and development preferences as costs significantly changed conservation priority areas (48.2% and 47.4%, respectively). Based on our results, a multifaceted conservation prioritization approach that combines spatially explicit social data with biological data can help conservation planners identify the type of social data to collect for more effective and feasible conservation actions.

Evaluating complementary networks of restoration plantings for landscape-scale occurrence of temporally dynamic species.

Multibillion dollar investments in land restoration make it critical that conservation goals are achieved cost-effectively. Approaches developed for systematic conservation planning offer opportunities to evaluate landscape-scale, temporally dynamic biodiversity outcomes from restoration and improve on traditional approaches that focus on the most species-rich plantings. We investigated whether it is possible to apply a complementarity-based approach to evaluate the extent to which an existing network of restoration plantings meets representation targets. Using a case study of woodland birds of conservation concern in southeastern Australia, we compared complementarity-based selections of plantings based on temporally dynamic species occurrences with selections based on static species occurrences and selections based on ranking plantings by species richness. The dynamic complementarity approach, which incorporated species occurrences over 5 years, resulted in higher species occurrences and proportion of targets met compared with the static complementarity approach, in which species occurrences were taken at a single point in time. For equivalent cost, the dynamic complementarity approach also always resulted in higher average minimum percent occurrence of species maintained through time and a higher proportion of the bird community meeting representation targets compared with the species-richness approach. Plantings selected under the complementarity approaches represented the full range of planting attributes, whereas those selected under the species-richness approach were larger in size. Our results suggest that future restoration policy should not attempt to achieve all conservation goals within individual plantings, but should instead capitalize on restoration opportunities as they arise to achieve collective value of multiple plantings across the landscape. Networks of restoration plantings with complementary attributes of age, size, vegetation structure, and landscape context lead to considerably better outcomes than conventional restoration objectives of site-scale species richness and are crucial for allocating restoration investment wisely to reach desired conservation goals.

Integrating biological and social values when prioritizing places for biodiversity conservation.

The consideration of information on social values in conjunction with biological data is critical for achieving both socially acceptable and scientifically defensible conservation planning outcomes. However, the influence of social values on spatial conservation priorities has received limited attention and is poorly understood. We present an approach that incorporates quantitative data on social values for conservation and social preferences for development into spatial conservation planning. We undertook a public participation GIS survey to spatially represent social values and development preferences and used species distribution models for 7 threatened fauna species to represent biological values. These spatially explicit data were simultaneously included in the conservation planning software Zonation to examine how conservation priorities changed with the inclusion of social data. Integrating spatially explicit information about social values and development preferences with biological data produced prioritizations that differed spatially from the solution based on only biological data. However, the integrated solutions protected a similar proportion of the species' distributions, indicating that Zonation effectively combined the biological and social data to produce socially feasible conservation solutions of approximately equivalent biological value. We were able to identify areas of the landscape where synergies and conflicts between different value sets are likely to occur. Identification of these synergies and conflicts will allow decision makers to target communication strategies to specific areas and ensure effective community engagement and positive conservation outcomes.