The nature of migration–forest linkages in migrant-sending regions is underreported and poorly understood. In rural Latin America and elsewhere, out-migration, together with agricultural crises and the deterritorialization of rural livelihood, are transforming forests and the communities that manage them. Drawing on research in indigenous communities of Oaxaca (Mexico), we identify the parameters of a new landscape of forest use and conservation, finding that: migration challenges community practices for self-governance of forest resources; declines in agriculture create new spaces for forest recovery and use; and forest conservation policies create economic opportunities around both extractive and non-extractive forest use.

Natural resource-related conflicts between local communities and nation states can be extremely destructive. Worldwide, interest is growing in gaining a better understanding of why and how these conflicts originate, particularly in protected areas inhabited by local communities. The literature on local attitudes towards and perceptions of park conservation and park–people conflicts is quite extensive. Studies have examined the socioeconomic and geographical determinants of attitudes to protected areas. However, the role of such determinants in the experience of park–people conflicts has received considerably less attention. Drawing on 601 interviews with people living in or near 15 Colombian national protected areas (NPAs), we examine the socioeconomic and geographical variables that are most influential in people’s experience of conflict related to restricted access to natural resources. We find that the experience of this type of conflict is largely explained by the NPA where a person resides, pursuit of productive activities within the NPA, previous employment in NPA administration, gender and ethnicity. We recommend implementing socially inclusive conservation strategies for conflict prevention and resolution in Colombia’s NPAs, whereby both women and men from different ethnic groups are engaged in design and implementation.

We are in the midst of a transformation in the way that biodiversity is observed on the planet. The approach of direct human observation, combining efforts of both professional and citizen scientists, has recently generated unprecedented amounts of data on species distributions and populations. Within just a few years, however, we believe that these data will be swamped by indirect biodiversity observations that are generated by autonomous sensors and machine learning classification models. In this commentary, we discuss three important elements of this shift towards indirect, technology driven observations. First, we note that the biodiversity data sets available today cover a very small fraction of all places and times that could potentially be observed, which suggests the necessity of developing new approaches that can gather such data at even larger scales, with lower costs. Second, we highlight existing tools and efforts that are already available today to demonstrate the promise of automated methods to radically increase biodiversity data collection. Finally, we discuss one specific outstanding challenge in automated biodiversity survey methods, which is how to extract useful knowledge from observations that are uncertain in nature. Throughout, we focus on one particular type of biodiversity data - point occurrence records - that are frequently produced by citizen science projects, museum records and systematic biodiversity surveys. As indirect observation methods increase the spatiotemporal scope of these point occurrence records, ecologists and conservation biologists will be better able to predict shifting species distributions, track changes to populations over time and understand the drivers of biodiversity occurrence.

Effective wildlife monitoring is a prerequisite for effective wildlife conservation since, without time-series data on species populations and threats, evidence-based adaptive management will be difficult to achieve. Technological advances in remote sensing offer more opportunities for data collection than ever before. However, if we are to enhance data sharing and the use of data by decision-makers, methods must be relevant to local user needs and be integrated into monitoring schemes with appropriate goals and indicators.

Increasing attention has been given to evaluating the effectiveness of forest conservation projects, but it is not well known whether different methods yield similar results when evaluating changes in forest resources. The present study compares forest cover maps and local people’s perceptions for evaluating the effectiveness of the Chambok community-based ecotourism (CBET) programme in Cambodia. We assessed forest cover changes from 2000 to 2012 using published global maps and used a covariate matching method to compare forest sites in CBET and non-CBET areas. We also analysed local people’s perceptions of forest resource changes by interviewing 174 households. The forest cover maps showed that the Chambok CBET was effective at reducing deforestation, although the outcome was not completely robust to unobserved heterogeneity. Local people’s perceptions concurred with the effectiveness observed in the forest cover maps, in that 64% of the people perceived that forest resources increased and 75% thought that the local community could protect its own forest resources. We conclude that the Chambok CBET performed effectively for forest conservation and suggest that mixed-method approaches are essential for evaluating the effectiveness of conservation programmes.

Spatial models are increasingly being used to target the most suitable areas for biodiversity conservation. This study investigates how the spatial tool Marxan with Zones (MARZONE) can be used to support the design of cost-effective biodiversity conservation policy. New in this study is the spatial analysis of the costs and effectiveness of different agro-environmental measures (AEMs) for habitat and biodiversity conservation in the Montado ecosystem in Portugal. A distinction is made between the financial costs paid to participating landowners and farmers for adopting AEMs and the broader economic opportunity costs of the corresponding land-use changes. Habitat and species conservation targets are furthermore defined interactively with the local government agency responsible for the management of protected areas, while the costs of agro-forestry activities and alternative land uses are estimated in direct consultation with local landowners. MARZONE identifies the spatial distribution of priority areas for conservation and the associated costs, some of which overlap with existing protected areas. These results provide useful insights into the trade-offs between nature conservation and the opportunity costs of protecting ecologically vulnerable areas, helping to improve current and future conservation policy design.

Species distribution models (SDMs) are statistical tools used to develop continuous predictions of species occurrence. ‘Integrated SDMs’ (ISDMs) are an elaboration of this approach with potential advantages that allow for the dual use of opportunistically collected presence-only data and site-occupancy data from planned surveys. These models also account for survey bias and imperfect detection through the use of a hierarchical modelling framework that separately estimates the species–environment response and detection process. This is particularly helpful for conservation applications and predictions for rare species, where data are often limited and prediction errors may have significant management consequences. Despite this potential importance, ISDMs remain largely untested under a variety of scenarios. We performed an exploration of key modelling decisions and assumptions on an ISDM using the endangered Baird’s tapir (Tapirus bairdii) as a test species. We found that site area had the strongest effect on the magnitude of population estimates and underlying intensity surface and was driven by estimates of model intercepts. Selecting a site area that accounted for the individual movements of the species within an average home range led to population estimates that coincided with expert estimates. ISDMs that do not account for the individual movements of species will likely lead to less accurate estimates of species intensity (number of individuals per unit area) and thus overall population estimates. This bias could be severe and highly detrimental to conservation actions if uninformed ISDMs are used to estimate global populations of threatened and data-deficient species, particularly those that lack natural history and movement information. However, the ISDM was consistently the most accurate model compared to other approaches, which demonstrates the importance of this new modelling framework and the ability to combine opportunistic data with systematic survey data. Thus, we recommend researchers use ISDMs with conservative movement information when estimating population sizes of rare and data-deficient species. ISDMs could be improved by using a similar parameterization to spatial capture–recapture models that explicitly incorporate animal movement as a model parameter, which would further remove the need for spatial subsampling prior to implementation.

Despite the plethora of discourse about how sustainable development should be pursued, the production of agricultural commodities is held responsible for driving c. 80% of global deforestation. Partially as a response, the private sector has made commitments to eliminate deforestation, but it is not yet clear what factors these commitments should take into account to effectively halt deforestation while also contributing to broader sustainable development. In the context of private sector commitments to zero-deforestation, this study characterizes the perceptions of different types of stakeholders along the cocoa and chocolate supply chain in order to determine the main challenges and solutions to encourage sustainable production. The main purpose is to understand the key factors that could facilitate a transition to a more sustainable supply while harmonizing the multiple actors’ interests. A qualitative thematic analysis of perceptions was conducted based on responses from 59 interviews with different stakeholders along the cocoa and chocolate supply chain in six key producing and consuming countries. Thematic analysis of the responses revealed six main themes: (1) make better use of policies, regulations and markets to help promote sustainability; (2) improve information and data (e.g., impacts of climate change on cocoa) to inform sound interventions; (3) focus on the landscape rather than the farm-level alone and improve integration of supply chain actors; (4) promote better coordination between stakeholders and initiatives (e.g., development assistance projects and corporate sustainability efforts); (5) focus on interdependent relationships between social, environmental and economic dimensions to achieve sustainable development; and (6) engage with the private sector. The study shows the importance of identifying different stakeholder priorities in order to design solutions that accommodate multiple interests. It also emphasizes the need to improve coordination and communication between stakeholders and instruments in order to address the three different dimensions of sustainability in a synergistic manner, considering the interactions from production of raw material to end consumer.

Jair Bolsonaro (Brazil’s new president) and “ruralists” (large landholders and their representatives) have initiated a series of measures that threaten Amazonia’s environment and traditional peoples, as well as global climate. These include weakening the country’s environmental agencies and forest code, granting amnesty to deforestation, approving harmful agrochemicals, reducing protected areas, and denying the existence of anthropogenic climate change. Both the measures themselves and the expectation of impunity they encourage have spurred increased deforestation, which contributes to climate change and to land conflicts with traditional peoples. Countries and companies that import Brazilian beef, soy and minerals are stimulating these impacts.

Reducing emissions from deforestation and forest degradation plus the conservation of forest carbon stocks, sustainable management of forests and enhancement of forest carbon stocks in developing countries (REDD+) requires information on land-use and land-cover changes (LULCCs) and carbon emission trends from the past to the present and into the future. Here, we use the results of participatory scenario development in Tanzania to assess the potential interacting impacts on carbon stock, biodiversity and water yield of alternative scenarios where REDD+ is or is not effectively implemented by 2025, a green economy (GE) scenario and a business as usual (BAU) scenario, respectively. Under the BAU scenario, LULCCs will cause 296 million tonnes of carbon (MtC) national stock loss by 2025, reduce the extent of suitable habitats for endemic and rare species (mainly in encroached protected mountain forests) and change water yields. In the GE scenario, national stock loss decreases to 133 MtC. In this scenario, consistent LULCC impacts occur within small forest patches with high carbon density, water catchment capacity and biodiversity richness. Opportunities for maximizing carbon emission reductions nationally are largely related to sustainable woodland management, but also contain trade-offs with biodiversity conservation and changes in water availability.

Embrapa (Brazilian Agricultural Research Corporation) is the most important Brazilian agricultural research institute and has recently published a study on the preservation status of forest fragments in more than 5 million rural properties. The authors concluded that no institution, public authority or professional category helps more in preserving Brazilian biomes than farmers (Miranda et al. 2017). The aim of the current paper is to demonstrate that these conclusions are hasty and that the real Brazilian flora preservation status in rural properties remains unknown.

Human alteration of the planet’s terrestrial landscapes for agriculture, habitation and commerce is reshaping wildlife communities. The threat of land cover change to wildlife is pronounced in regions with rapidly growing human populations. We investigated how species richness and species-specific occurrence of bats changed as a function of land cover and canopy (tree) cover across a rapidly changing region of Florida, USA. Contrary to our predictions, we found negligible effects of agriculture and urban development on the occurrence of all species. In contrast, we found that a remotely sensed metric of canopy cover on a broad scale (25 km2) was a good predictor of the occurrence of eight out of ten species. The occurrence of all smaller bats (vespertilionids) in our study increased with 0–50% increases in canopy cover, while larger bats showed different patterns. Occurrence of Brazilian free-tailed bats (Tadarida brasiliensis) decreased with increasing canopy cover, and Florida bonneted bats (Eumops floridanus) were not influenced by canopy cover. We conclude that remotely sensed measures of canopy cover can provide a more reliable predictor of bat species richness than land-cover types, and efforts to prevent the loss of bat diversity should consider maintaining canopy cover across mosaic landscapes with diverse land-cover types.

Decision-makers need readily accessible tools to understand the potential impacts of alternative policies on forest cover and greenhouse gas (GHG) emissions and to develop effective policies to meet national and international targets for biodiversity conservation, sustainable development and climate change mitigation. Land change modelling can support policy decisions by demonstrating potential impacts of policies on future deforestation and GHG emissions. We modelled land change to explore the potential impacts of expert-informed scenarios on deforestation and GHG emissions, specifically CO2 emissions, in the Ankeniheny–Zahamena Corridor in eastern Madagascar. We considered four scenarios: business as usual; effective conservation of protected areas; investment in infrastructure; and agricultural intensification. Our results highlight that effective forest conservation could deliver substantial emissions reductions, while infrastructure development will likely cause forest loss in new areas. Agricultural intensification could prevent additional forest loss if it reduced the need to clear more land while improving food security. Our study demonstrates how available land change modelling tools and scenario analyses can inform land-use policies, helping countries reconcile economic development with forest conservation and climate change mitigation commitments.

Sea cucumbers play a critical role in maintaining healthy marine ecosystems. Sea cucumbers are also a key source of income for millions of small-scale fishers worldwide. The lucrative nature of this industry has led to severe reductions in sea cucumber populations in numerous regions globally. A large proportion of sea cucumber fisheries are located in developing countries, which present unique challenges to management, including addressing highly decentralized methods of extraction and processing, limited economic and technological resources for governance and, in many cases, a high dependency on sea cucumbers as a primary source of income for small-scale coastal fishers. In this review, we review the benefits and challenges of seven categories of sea cucumber management strategies used globally in developing countries, including gear restrictions, size and weight limits, effort and catch controls, temporal closures, area closures, value chain licensing and territorial use rights in fisheries. We conclude that sea cucumber management in developing countries could benefit from focusing regulatory solutions on narrowed parts of the value chain, coupling production-based management strategies with processing and export regulations and providing avenues for local fishers to inform policy at the local, regional and national levels.

Bird strikes are a considerable hazard to the aviation industry, which has led airports to develop detailed management strategies to identify and reduce the risk of them. These strategies include plans to modify bird habitats in and around airports to limit the establishment of high-risk species. Although airports are generally located on the outskirts of towns and cities, they may be encroached on by urban sprawl. In this study, we examined how an urbanization gradient affects the bird community around an air force base in Cape Town (South Africa) and quantified how this could modify the hazard of bird–aircraft collision. We surveyed the bird community in and around the Air Force Base Ysterplaat across four seasons and categorized species based on their response to increased urbanization (urban avoiders, adapters and exploiters). By combining this with species-specific information on body size, flock size, flight behaviour and abundance, we showed that although urbanization affects bird composition, the overall hazard of bird–aircraft collision is consistent regardless of urban response. However, urbanization complicates mitigation in the matrix surrounding the airport and creates novel challenges for the management of bird hazards. Therefore, new bird hazard management strategies should be integrated within community-driven land-use planning to minimize the negative effects of bird–aircraft collisions.

Although drones are becoming very common in the skies, most concerns about their use are not focused on their possible impact on wildlife. We used the information available from the scientific literature on the effects of drones on wildlife and complement it with Internet (YouTube) information to evaluate whether recreational activities using drones produce behavioural responses from wildlife. Scientific papers specifically evaluating the effects of drones on wildlife are scarce but increasing. Nonetheless, we found abundant videos in which many species from different taxonomic groups and multiple countries presented behavioural responses to drone overflights. Furthermore, 26% of the species that were disturbed are included in one of the International Union for Conservation of Nature categories of threat. We found that wildlife that use aerial and terrestrial habitats are more likely to show a behavioural response than those occupying aquatic habitats. The Internet is becoming a source of evidence of disturbances to wildlife that should be considered, particularly for recreational activities. We advocate for the use of technology, but argue that funding and effort should be devoted to evaluating drone impacts on wildlife. We call for educational programmes for laypeople who use drones for recreation and for more research and regulations on their use in sensitive wildlife areas.

Promoting conservation practices in agriculture to protect biodiversity of rare Mediterranean ecosystems is nowhere more critical than in Chile, where less than 2% of the Mediterranean region is formally protected. We used the theory of planned behaviour to assess what influences Chilean winegrowers’ conservation behaviour and tested whether a sustainability programme was effective. We compared winegrowers involved in the programme with a comparison group, using semi-structured interviews at 23 wineries to determine predictors of conservation practice adoption at vineyards. The intervention group had higher levels of conservation behaviour than the comparison group and practised integrated pest management and exotic species control more frequently. Managers’ views on conservation practices as doing ‘what is right’ with regards to nature and the environment were evident in both groups. However, programme winegrowers recognized more cultural benefits of nature and reported a broader spectrum of organizational and community stakeholder influence. Economic resources were perceived as a major barrier, as well as the lack of data connecting biodiversity conservation with wine quality and production. This study demonstrates the multidimensional nature of winegrowers’ motivations and barriers for adopting conservation practices, which is critical to addressing the significant challenges facing biodiversity conservation and the promotion of sustainable agricultural systems.