Overcoming the ‘panacea problem’ has been a major challenge for scholars devoted to the study of social-ecological systems (SESs). Panaceas are overly simplified institutional prescriptions, which have recurrently misguided natural resource policies across the world. To address this challenge, SES-scholars have focused their efforts on identifying the right institutional fit for a particular system, and a major initiative to refine the analysis of human-environment interaction has been the development of a multi-tiered interdisciplinary framework, called the SES framework. SES studies and analytical frameworks need to go beyond their current focus on finding the right institutional fit by positing power and discourses as key components of the analysis of SESs.

Adaptive management (AM) emerged in the literature in the mid-1970s in response both to a realization of the extent of uncertainty involved in management, and a frustration with attempts to use modelling to integrate knowledge and make predictions. The term has since become increasingly widely used in scientific articles, policy documents and management plans, but both understanding and application of the concept is mixed. This paper reviews recent literature from conservation and natural resource management journals to assess diversity in how the term is used, highlight ambiguities and consider how the concept might be further assessed. AM is currently being used to describe many different management contexts, scales and locations. Few authors define the term explicitly or describe how it offers a means to improve management outcomes in their specific management context. Many do not adhere to the idea as it was originally conceived, despite citing seminal work. Significant confusion exists over the distinction between active and passive approaches. Over half of the studies reporting to implement AM claimed to have done so successfully, yet none quantified specific benefits, or costs, in relation to possible alternatives. Similarly those studies reporting to assess the approach did so only in relation to specific models and their parameterizations; none assessed the benefits or costs of AM in the field. AM is regarded by some as an effective and well-established framework to support the management of natural resources, yet by others as a concept difficult to realize and fraught with implementation challenges; neither of these observations is wholly accurate. From a scientific and technical perspective many practical questions remain; in particular real-world assessments of the value of experimentation within a management framework, as well as of identified challenges and pathologies, are needed. Further discussion and systematic assessment of the approach is required, together with greater attention to its definition and description, enabling the assessment of new approaches to managing uncertainty, and AM itself.

There is increasing emphasis on the need for effective ways of sharing knowledge to enhance environmental management and sustainability. Knowledge exchange (KE) are processes that generate, share and/or use knowledge through various methods appropriate to the context, purpose, and participants involved. KE includes concepts such as sharing, generation, coproduction, comanagement, and brokerage of knowledge. This paper elicits the expert knowledge of academics involved in research and practice of KE from different disciplines and backgrounds to review research themes, identify gaps and questions, and develop a research agenda for furthering understanding about KE. Results include 80 research questions prefaced by a review of research themes. Key conclusions are: (1) there is a diverse range of questions relating to KE that require attention; (2) there is a particular need for research on understanding the process of KE and how KE can be evaluated; and (3) given the strong interdependency of research questions, an integrated approach to understanding KE is required. To improve understanding of KE, action research methodologies and embedding evaluation as a normal part of KE research and practice need to be encouraged. This will foster more adaptive approaches to learning about KE and enhance effectiveness of environmental management.

To evaluate the status of biodiversity and to determine how current conservation efforts can be improved, biodiversity monitoring is crucial. An important aspect of data quality lies in its spatial resolution. It is unclear how finer scale land cover and land value information might further benefit biodiversity conservation. This paper aimed to assess the impacts of scale by modelling the conservation of endangered European wetland species and their corresponding habitats. Fine-scale datasets were derived by integrating existing geographical, biophysical and economic data. A habitat allocation model, based on principles from systematic conservation planning and economic theory, was developed to estimate area requirements and opportunity costs of habitat protection in Europe. Coarse-scale and fine-scale simulations were compared by inputting both resolutions into the model. Habitat locations were restricted either only by historical species occurrence data at UTM 50 resolution or additionally by explicit wetland data at 1-km2 resolution. Coarse country-average land rents were contrasted with spatially detailed land rent estimates at a 5ʹ resolution. Costs of habitat protection and area requirements for reserves may be severely underestimated when conservation planning relies only on coarse-scale data, which may result in notable shortcomings in conservation target achievement. Improvements in conservation benefits far outweigh the additional costs of acquiring fine-scale data.

Predictive models are frequently used to define the most suitable areas for species protection or reintroduction. Land-cover variables can be used in different ways for distribution modelling. The surface area of a set of land-cover classes is often used, each land-cover presence/absence or the distance to them from any point of the study area can be preferred; multiple types of land-cover variables may be combined to produce a single model. This paper assesses whether different approaches to using land-cover variables may lead to different ecological conclusions when interpreted for conservation by focusing on the distribution of the salamader Salamandra salamandra longirostris, an endangered amphibian subspecies in the south of the Iberian Peninsula. Twenty-eight land-cover classes and another 42 environmental variables were used to construct four different models. Three models used a unique type of land-cover variable: either the presence of each class, the surface area of each class or the distance to each class, with all three variable types jointly entered in a fourth model. All models attained acceptable scores according to some criteria (discrimination, descriptive and predictive capacities, classification accuracy and parsimony); however most of the assessment parameters computed indicated a better performance of the models using either the surface area of land classes or the distance to them from every sampled square, compared to the model using class presences. The best scores were obtained with the fourth model, which combined different types of land-cover variables. This model suggested that oak forest fragmentation in favour of herbaceous crops and pastures may have negative effects on the distribution of S. s. longirostris. This was only partially suggested by the first three models, which considered a single type of land-cover variable, demonstrating the importance of considering a multi-variable analysis for conservation planning.

Forests are an important source of environmental services and livelihoods in Africa, thus it is important to determine potential drivers of forest loss. Over recent decades, forest cover has been declining steadily in Malawi. This paper attempts to evaluate the influence of agricultural input subsidies on forest conversion in Malawi. A two-stage regression model analysis of 2009 farm survey data from Chimaliro and Liwonde Forest reserves in Kasungu and Machinga districts, respectively, did not reveal direct evidence of policy-induced forest clearing for agricultural expansion. Instead, subsidy-induced agricultural intensification of food crops, especially maize, appeared to have reduced the rate and extent of forest clearing among households in Malawi compared with households not benefiting from subsidies. However, indirect negative impacts on forests arose due to offtake of trees to construct drying sheds for tobacco, a local cash crop. These findings have implications for designing strategies for simultaneously conserving forests while promoting food security in rural areas, and shed light on the direct and indirect effects of input subsidies.

Fuelwood is the dominant source of energy used by most rural households in southern Africa to meet daily domestic energy requirements. Due to limited financial resources, most rural households are unable to make the transition to electricity thus they remain dependant on the woodlands surrounding their settlements as a source of cheap energy. Unsustainable fuelwood harvesting due to increasing demand as a result of growing human populations may result in environmental degradation particularly in the high-density, communal savannah woodlands of South Africa. Evaluating the sustainability of current fuelwood harvesting patterns requires an understanding of the environmental impacts of past logging practices to establish patterns of woodland degradation. This study evaluates impacts of fuelwood harvesting from 1992–2009 on the woodland structure and species composition surrounding two rural villages located within the Kruger to Canyons Biosphere Reserve (Mpumalanga Province, South Africa). Both villages (Welverdiend and Athol) were of similar spatial extent and exhibited similar socioeconomic characteristics. The total wood stock in the communal woodlands of both villages declined overall (with greater losses seen in Welverdiend) and, in Welverdiend, there were also changes in the woodland structure and species diversity of the species commonly harvested for fuelwood over this period. The woodlands in Welverdiend have become degraded and no longer produce fuelwood of preferred species and stem size in sufficient quantity or quality. The absence of similar negative impacts in Athol suggests more sustainable harvesting regimes exist there because of the lower human population and lower fuelwood extraction pressure. The Welverdiend community has annexed neighbouring unoccupied private land in a social response to fuelwood scarcity. Athol residents behaved similarly during drought periods. The potential for future conflict with neighbouring conservation areas within the Kruger to Canyons Biosphere is high if current land uses and fuelwood extraction patterns are maintained.

Effective conservation planning must anticipate the rates and patterns of dynamic threats to biodiversity, such as rapid changes in land use. Poor understanding and prediction of drivers and patterns of conversion of habitat can hinder assessments of the relative vulnerability of areas of remaining indigenous habitat to conversion, and identification of habitats in most immediate need of protection. Methods developed to model vulnerability to conversion vary in their complexity and applicability to conservation management. Generalized additive models provide a simple robust method to explore predictors and patterns of land-use conversion, and may be used to predict future patterns of conversion using recent land conversion data. This paper provides the first data-derived and statistically validated measurement of the vulnerability of New Zealand's indigenous grasslands to conversion. Higher altitude and more marginal (for agriculture and forestry) land showed greater conversion, and models based on earlier conversion patterns performed more poorly in predicting current patterns of conversion. Up-to-date land conversion data appear crucial for accurately predicting future vulnerability to habitat conversion.