Data justice and biodiversity conservation.

Increases in data availability coupled with enhanced computational capacities are revolutionizing conservation. But in the excitement over the opportunities afforded by new data, there has been less discussion of the justice implications of data used in conservation, that is, how people and environments are represented through data, the conservation choices made based on data, and the distribution of benefits and harms arising from these choices. We propose a framework for understanding the justice dimensions of conservation data composed of five elements: data composition, data control, data access, data processing and use, and data consequences. For each element, we suggest a set of guiding questions that conservationists could use to think through their collection and use of data and to identify potential data injustices. The need for such a framework is illustrated by a synthesis of recent critiques of global conservation prioritization analyses. These critiques demonstrate the range of ways data could serve to produce social and ecological harms due to the choice of underlying data sets, assumptions made in the analysis, oversimplification of real-world conservation practice, and crowding out of other forms of knowledge. We conclude by arguing that there are ways to mitigate risks of conservation data injustices, through formal ethical and legal frameworks and by promoting a more inclusive and more reflexive conservation research ethos. These will help ensure that data contribute to conservation strategies that are both socially just and ecologically effective.

Justicia Informativa y Conservación de la Biodiversidad Resumen El incremento en la disponibilidad de datos acoplado con las capacidades computacionales mejoradas está revolucionando la conservación. Sin embargo, debido a la emoción generada por las oportunidades proporcionadas por los datos nuevos, ha habido menos discusiones sobre las implicaciones de justicia de los datos que se usan en la conservación, es decir, cómo las personas y los ecosistemas están representados por los datos, las opciones de conservación basadas en estos datos y la distribución de los daños y beneficios que surgen de estas opciones. Proponemos un marco de trabajo para entender las dimensiones de justicia de los datos de conservación compuestos por cinco elementos: composición de los datos, control de datos, acceso a los datos, procesamiento y uso de los datos, y consecuencias de los datos. Diseñamos un conjunto de preguntas guía para cada elemento, el cual los conservacionistas podrían usar para analizar detalladamente la recolección y uso de los datos y así identificar posibles injusticias informativas. La necesidad de tener este marco de trabajo está ilustrada por una síntesis de críticas recientes a los análisis de priorización de la conservación global. Estas críticas demuestran la gama de formas en la que podrían usarse los datos para producir daño ecológico y social debido a la elección de los conjuntos de datos subyacentes, las suposiciones hechas en el análisis, la sobresimplificación de las prácticas de conservación reales y la exclusión de otras formas de conocimiento. Existen maneras de mitigar los riesgos de injustica informativa en la conservación por medio de los marcos de trabajo éticos y legales y mediante la promoción de una ética de investigación de la conservación más incluyente y reflexiva. Todo lo anterior ayudará a asegurar que los datos contribuyan a las estrategias de conservación que son socialmente justas y ecológicamente efectivas.

Privately protected areas increase global protected area coverage and connectivity.

Privately protected areas (PPAs) are increasing in number and extent. Yet, we know little about their contribution to conservation and how this compares to other forms of protected area (PA). We address this gap by assessing the contribution of 17,561 PPAs to the coverage, complementarity and connectivity of existing PA networks in 15 countries across 5 continents. We find that PPAs (1) are three times more likely to be in biomes with <10% of their area protected than are other PA governance types and twice as likely to be in areas with the greatest human disturbance; (2) that they protect a further 1.2% of key biodiversity areas; (3) that they account for 3.4% of land under protection; and (4) that they increase PA network connectivity by 7.05%. Our results demonstrate the unique and significant contributions that PPAs can make to the conservation estate and that PPAs deserve more attention, recognition and resources for better design and implementation.

Conservation and social outcomes of private protected areas.

Government administered protected areas (PAs) have dominated conservation strategies, discourse, and research, yet private actors are increasingly managing land for conservation. Little is known about the social and environmental outcomes of these privately protected areas (PPAs). We searched the global literature in English on PPAs and their environmental and social outcomes and identified 412 articles suitable for inclusion. Research on PPAs was geographically skewed; more studies occurred in the United States. Environmental outcomes of PPAs were mostly positive (89%), but social outcomes of PPAs were reported less (12% of all studies), and these outcomes were more mixed (65% positive). Private protected areas increased the number or extent of ecosystems, ecoregions, or species covered by PAs (representativeness) and PA network connectivity and effectively reduced deforestation and restored degraded lands. Few PPA owners reported negative social outcomes, experienced improved social capital, increased property value, or a reduction in taxes. Local communities benefited from increased employment, training, and community-wide development (e.g., building of schools), but they reported reduced social capital and no significant difference to household income. The causal mechanisms through which PPAs influence social and environmental outcomes remain unclear, as does how political, economic, and social contexts shape these mechanisms. Future research should widen the geographical scope and diversify the types of PPAs studied and focus on determining the casual mechanisms through which PPA outcomes occur in different contexts. We propose an assessment framework that could be adopted to facilitate this process.

Conservación y Consecuencias Sociales de las Áreas Protegidas Privadas Resumen Las áreas protegidas administradas por el gobierno (APs) han dominado las estrategias, el discurso y las investigaciones de la conservación a pesar de que los actores privados cada vez están administrando más tierras para la conservación. Se conoce muy poco sobre las consecuencias ambientales y sociales de estas áreas protegidas privadamente (APPs). Realizamos una búsqueda en la literatura en inglés sobre las APPs y sus consecuencias ambientales y sociales e identificamos 412 artículos apropiados para la inclusión. La investigación sobre las APPs presentó un sesgo geográfico pues la mayoría de los estudios se realizaron dentro de los Estados Unidos. Las consecuencias ambientales de las APPs fueron principalmente positivas (89%); mientras que las consecuencias sociales estuvieron menos reportadas (12% de todos los estudios) y estas resultaron generalmente mixtas (65% positivas). Las áreas protegidas privadas incrementaron el número o la extensión de los ecosistemas, las ecoregiones o las especies cubiertas por las APs (representatividad) así como la conectividad entre redes de AP y redujeron efectivamente la deforestación y restauraron los suelos degradados. Fueron pocos los dueños de una APP que reportaron consecuencias sociales negativas, experimentaron un incremento en el capital social, aumentaron el valor de su propiedad o redujeron sus impuestos. Las comunidades locales se beneficiaron con el incremento en los empleos, el entrenamiento y el desarrollo a nivel comunitario (p. ej.: la construcción de escuelas), aunque también reportaron una reducción en el capital social y ninguna diferencia importante en el ingreso doméstico. Los mecanismos causales mediante los cuales las APPs influyen sobre las consecuencias sociales y ambientales todavía no están claros, así como la manera en la que el contexto político, económico o social moldea estos mecanismos. Las siguientes investigaciones deberían ampliar el enfoque geográfico y diversificar los tipos de APPs estudiados, así como enfocarse en determinar los mecanismos causales mediante los cuales las consecuencias de las APPs ocurren en diferentes contextos. Proponemos un marco de trabajo de análisis que podría adoptarse para facilitar este proceso.

Forest-linked livelihoods in a globalized world.

Forests have re-taken centre stage in global conversations about sustainability, climate and biodiversity. Here, we use a horizon scanning approach to identify five large-scale trends that are likely to have substantial medium- and long-term effects on forests and forest livelihoods: forest megadisturbances; changing rural demographics; the rise of the middle-class in low- and middle-income countries; increased availability, access and use of digital technologies; and large-scale infrastructure development. These trends represent human and environmental processes that are exceptionally large in geographical extent and magnitude, and difficult to reverse. They are creating new agricultural and urban frontiers, changing existing rural landscapes and practices, opening spaces for novel conservation priorities and facilitating an unprecedented development of monitoring and evaluation platforms that can be used by local communities, civil society organizations, governments and international donors. Understanding these larger-scale dynamics is key to support not only the critical role of forests in meeting livelihood aspirations locally, but also a range of other sustainability challenges more globally. We argue that a better understanding of these trends and the identification of levers for change requires that the research community not only continue to build on case studies that have dominated research efforts so far, but place a greater emphasis on causality and causal mechanisms, and generate a deeper understanding of how local, national and international geographical scales interact.

Assessing multidimensional sustainability: Lessons from Brazil's social protection programs.

Examining linkages among multiple sustainable development outcomes is key for understanding sustainability transitions. Yet rigorous evidence on social and environmental outcomes of sustainable development policies remains scarce. We conduct a national-level analysis of Brazil's flagship social protection program, Zero Hunger (ZH), which aims to reduce food insecurity and poverty. Using data from rural municipalities across Brazil and quasi-experimental causal inference techniques, we assess relationships between social protection investment and outcomes related to sustainable development goals (SDGs): "no poverty" (SDG 1), "zero hunger" (SDG 2), and "health and well being" (SDG 3). We also assess potential perverse outcomes arising from agricultural development impacting "climate action" (SDG 13) and "life on land" (SDG 15) via clearance of natural vegetation. Despite increasing daily per capita protein and kilocalorie production, summed ZH investment did not alleviate child malnutrition or infant mortality and negligibly influenced multidimensional poverty. Higher investment increased natural vegetation cover in some biomes but increased losses in the Cerrado and especially the Pampa. Effects varied substantially across subprograms. Conditional cash transfer (Bolsa Familia [BF]) was mainly associated with nonbeneficial impacts but increased protein production and improved educational participation in some states. The National Program to Strengthen Family Farming (PRONAF) was typically associated with increased food production (protein and calories), multidimensional poverty alleviation, and changes in natural vegetation. Our results inform policy development by highlighting successful elements of Brazil's ZH program, variable outcomes across divergent food security dimensions, and synergies and trade-offs between sustainable development goals, including environmental protection.

COVID-19 and the case for global development.

COVID-19 accentuates the case for a global, rather than an international, development paradigm. The novel disease is a prime example of a development challenge for all countries, through the failure of public health as a global public good. The COVID-19 pandemic has highlighted the falsity of any assumption that the global North has all the expertise and solutions to tackle global challenges, and has further highlighted the need for multi-directional learning and transformation in all countries towards a more sustainable and equitable world. We illustrate our argument for a global development paradigm by examining the implications of the COVID-19 pandemic across four themes or 'vignettes': global value chains, digitalisation, debt, and climate change. We conclude that development studies must adapt to a very different context from when the field emerged in the mid-20th century.

Statistical matching for conservation science.

The awareness of the need for robust impact evaluations in conservation is growing and statistical matching techniques are increasingly being used to assess the impacts of conservation interventions. Used appropriately matching approaches are powerful tools, but they also pose potential pitfalls. We outlined important considerations and best practice when using matching in conservation science. We identified 3 steps in a matching analysis. First, develop a clear theory of change to inform selection of treatment and controls and that accounts for real-world complexities and potential spillover effects. Second, select the appropriate covariates and matching approach. Third, assess the quality of the matching by carrying out a series of checks. The second and third steps can be repeated and should be finalized before outcomes are explored. Future conservation impact evaluations could be improved by increased planning of evaluations alongside the intervention, better integration of qualitative methods, considering spillover effects at larger spatial scales, and more publication of preanalysis plans. Implementing these improvements will require more serious engagement of conservation scientists, practitioners, and funders to mainstream robust impact evaluations into conservation. We hope this article will improve the quality of evaluations and help direct future research to continue to improve the approaches on offer.

Emparejamiento Estadístico para la Ciencia de la Conservación Resumen Hay más conciencia sobre la necesidad de evaluaciones de impacto más rigurosas y las técnicas de emparejamiento estadístico se están usan con más frecuencia para evaluar los impactos de intervenciones de conservación. Las técnicas de emparejamiento pueden ser herramientas poderosas si son utilizadas correctamente, pero también pueden llevar a conclusiones erróneas. En este artículo describimos consideraciones importantes para realizar estudios de conservación que utilizan técnicas de emparejamiento estadístico. Identificamos tres pasos dentro de un análisis de emparejamiento. Primero, es importante desarrollar una teoría del cambio que considere las complejidades del mundo real y las posibles consecuencias indirectas para poder seleccionar unidades de tratamiento y controles. Segundo, es clave seleccionar las covarianzas y la estrategia de emparejamiento apropiadas. Tercero, evaluar la calidad del emparejamiento a través de una serie de revisiones. El segundo y el tercer paso pueden ser repetidos y deben concluirse antes de que se exploren los resultados. Evaluaciones de impacto de intervenciones de conservación podrían mejorarse con una mejor planeación de las evaluaciones junto con la intervención, una mejor integración de los métodos cualitativos, mejor consideración de consecuencias indirectas a grandes escalas espaciales y un incremento en la publicación de planes pre-analíticos. La implementación de estas mejoras requerirá de un compromiso más serio por parte de científicos de la conservación, y de practicantes y financiadores. Esperamos que este artículo mejore la calidad de evaluaciones y ayude a guiar futuras investigaciones e intervenciones de conservación.

The data not collected on community forestry.

Conservation and development practitioners increasingly promote community forestry as a way to conserve ecosystem services, consolidate resource rights, and reduce poverty. However, outcomes of community forestry have been mixed; many initiatives failed to achieve intended objectives. There is a rich literature on institutional arrangements of community forestry, but there has been little effort to examine the role of socioeconomic, market, and biophysical factors in shaping both land-cover change dynamics and individual and collective livelihood outcomes. We systematically reviewed the peer-reviewed literature on community forestry to examine and quantify existing knowledge gaps in the community-forestry literature relative to these factors. In examining 697 cases of community forest management (CFM), extracted from 267 peer-reviewed publications, we found 3 key trends that limit understanding of community forestry. First, we found substantial data gaps linking population dynamics, market forces, and biophysical characteristics to both environmental and livelihood outcomes. Second, most studies focused on environmental outcomes, and the majority of studies that assessed socioeconomic outcomes relied on qualitative data, making comparisons across cases difficult. Finally, there was a heavy bias toward studies on South Asian forests, indicating that the literature on community forestry may not be representative of decentralization policies and CFM globally.

BIOFRAG - a new database for analyzing BIOdiversity responses to forest FRAGmentation.

Habitat fragmentation studies have produced complex results that are challenging to synthesize. Inconsistencies among studies may result from variation in the choice of landscape metrics and response variables, which is often compounded by a lack of key statistical or methodological information. Collating primary datasets on biodiversity responses to fragmentation in a consistent and flexible database permits simple data retrieval for subsequent analyses. We present a relational database that links such field data to taxonomic nomenclature, spatial and temporal plot attributes, and environmental characteristics. Field assessments include measurements of the response(s) (e.g., presence, abundance, ground cover) of one or more species linked to plots in fragments within a partially forested landscape. The database currently holds 9830 unique species recorded in plots of 58 unique landscapes in six of eight realms: mammals 315, birds 1286, herptiles 460, insects 4521, spiders 204, other arthropods 85, gastropods 70, annelids 8, platyhelminthes 4, Onychophora 2, vascular plants 2112, nonvascular plants and lichens 320, and fungi 449. Three landscapes were sampled as long-term time series (>10 years). Seven hundred and eleven species are found in two or more landscapes. Consolidating the substantial amount of primary data available on biodiversity responses to fragmentation in the context of land-use change and natural disturbances is an essential part of understanding the effects of increasing anthropogenic pressures on land. The consistent format of this database facilitates testing of generalizations concerning biologic responses to fragmentation across diverse systems and taxa. It also allows the re-examination of existing datasets with alternative landscape metrics and robust statistical methods, for example, helping to address pseudo-replication problems. The database can thus help researchers in producing broad syntheses of the effects of land use. The database is dynamic and inclusive, and contributions from individual and large-scale data-collection efforts are welcome.

Parasitoid wasps influence where aphids die via an interspecific indirect genetic effect.

Host-parasite interactions are a key paradigm for understanding the process of coevolution. Central to coevolution is how genetic variation in interacting species allows parasites to evolve manipulative strategies. However, genetic variation in the parasite may also be associated with host phenotype changes, thereby changing the selection on both species. For instance, parasites often induce changes in the behaviour of their host to maximize their own fitness, yet the quantitative genetic basis for behavioural manipulation has not been fully demonstrated. Here, we show that the genotype of the parasitoid wasp Aphidius ervi has a significant effect on where its aphid host Acyrthosiphon pisum moves to die following parasitism, including the likelihood that the aphid abandons the plant. These results provide a clear example of an interspecific indirect genetic effect whereby the genetics of one species influences the expression of a specific behavioural trait in another.

Co-occurrence patterns of common and rare leaf-litter frogs, epiphytic ferns and dung beetles across a gradient of human disturbance.

Indicator taxa are commonly used to identify priority areas for conservation or to measure biological responses to environmental change. Despite their widespread use, there is no general consensus about the ability of indicator taxa to predict wider trends in biodiversity. Many studies have focused on large-scale patterns of species co-occurrence to identify areas of high biodiversity, threat or endemism, but there is much less information about patterns of species co-occurrence at local scales. In this study, we assess fine-scale co-occurrence patterns of three indicator taxa (epiphytic ferns, leaf litter frogs and dung beetles) across a remotely sensed gradient of human disturbance in the Ecuadorian Amazon. We measure the relative contribution of rare and common species to patterns of total richness in each taxon and determine the ability of common and rare species to act as surrogate measures of human disturbance and each other. We find that the species richness of indicator taxa changed across the human disturbance gradient but that the response differed among taxa, and between rare and common species. Although we find several patterns of co-occurrence, these patterns differed between common and rare species. Despite showing complex patterns of species co-occurrence, our results suggest that species or taxa can act as reliable indicators of each other but that this relationship must be established and not assumed.

Understanding the lessons and limitations of conservation and development.

The lack of concrete instances in which conservation and development have been successfully merged has strengthened arguments for strict exclusionist conservation policies. Research has focused more on social cooperation and conflict of different management regimes and less on how these factors actually affect the natural environments they seek to conserve. Consequently, it is still unknown which strategies yield better conservation outcomes? We conducted a meta-analysis of 116 published case studies on common resource management regimes from Africa, south and central America, and southern and Southeast Asia. Using ranked sociodemographic, political, and ecological data, we analyzed the effect of land tenure, population size, social heterogeneity, as well as internally devised resource-management rules and regulations (institutions) on conservation outcome. Although land tenure, population size, and social heterogeneity did not significantly affect conservation outcome, institutions were positively associated with better conservation outcomes. There was also a significant interaction effect between population size and institutions, which implies complex relationships between population size and conservation outcome. Our results suggest that communities managing a common resource can play a significant role in conservation and that institutions lead to management regimes with lower environmental impacts.