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Comprehensive and reliable information on anthropogenic sources of greenhouse gas emissions is required to track progress towards keeping warming well below 2°C as agreed upon in the Paris Agreement. Here we provide a dataset on anthropogenic GHG emissions 1970-2019 with a broad country and sector coverage. We build the dataset from recent releases from the “Emissions Database for Global Atmospheric Research” (EDGAR) for CO2 emissions from fossil fuel combustion and industry (FFI), CH4 emissions, N2O emissions, and fluorinated gases and use a well-established fast-track method to extend this dataset from 2018 to 2019. We complement this with information on net CO2 emissions from land use, land-use change and forestry (LULUCF) from three available bookkeeping models.

These data are part of a data portal that accompanies the special issue ‘Climate change adaptation needs a science of culture,’ published in Philosophical Transactions of the Royal Society B in 2023. To access the data portal, please visit: https://doi.org/10.5061/dryad.bnzs7h4h4. This code represents a computational model investigating the dynamics of coupled and decoupled resource use and efficiency gains. It can be used to simulate the effects of exploration-exploitation strategies on efficiency, consumption and sustainability, considering different levels of direct and indirect rebound effects. The model simulates a population of agents who make decisions on whether to explore or exploit a natural resource. These agents become more efficient over time based on their chosen strategy, affecting resource consumption. Different scenarios are considered, including various rebound effects, which influence how efficiency gains impact resource use. The key elements of the model include agents' uncertainty about the efficiency of their actions, the operationalization of efficiency as a reward, and the calculation of resource consumption based on efficiency gains and rebound effects. The model provides insights into how agents' decisions and resource use evolve over time under different conditions. This computational framework offers a valuable tool for exploring the complex dynamics of resource consumption and management in the face of environmental challenges. It can be applied to gain a deeper understanding of the Jevons Paradox and its implications for sustainable resource use. This computational model simulates the dynamics of exploration and exploitation strategies within a population of agents. These agents make decisions on whether to explore new solutions or exploit existing ones, with a focus on maximizing efficiency. The model employs a N-armed bandit problem approach, where agents select actions to maximize efficiency gains. Efficiency is operationalized as a reward, and agents use sample means to estimate expected efficiency. A balance between exploration and exploitation is maintained through a probability-based algorithm. The code also encompasses resource domains, representing different resources and their dynamics, along with computations of resource consumption, existing resources, and sustainability indices. The simulations consider various parameter combinations to examine the model's behavior. Overall, the code serves as a tool for studying the interplay between exploration, exploitation, efficiency, and resource consumption within a population of agents across different scenarios, making it valuable for investigating the effects of rebound effects on resource consumption and sustainability. The simulations run a comprehensive set of parameter combinations to explore the model's behavior thoroughly. # Code from: Efficiency traps beyond the climate crisis: Exploration-exploitation tradeoffs and rebound effects. Python scripts to run the model, as described in: Segovia-Martin J, Creutzig F, Winters J. 2023 Efficiency traps beyond the climate crisis: exploration–exploitation tradeoffs and rebound effects. Phil. Trans. R. Soc. B 378: 20220405. https://doi.org/10.1098/rstb.2022.0405 The code and supplementary materials are all freely accessible at the following link: [https://github.com/School-of-Collective-Intelligence/Jevons-Paradox-and-Cultural-Evolution](https://github.com/School-of-Collective-Intelligence/Jevons-Paradox-and-Cultural-Evolution) The simulator can be accessed via the following links: [https://jevons-collectiveintelligence.pythonanywhere.com/](https://jevons-collectiveintelligence.pythonanywhere.com/) or [https://jsegoviamartin.pythonanywhere.com/](https://jsegoviamartin.pythonanywhere.com/) The DOI of this Dryad repository: [https://doi.org/10.5061/dryad.qjq2bvqnk](https://doi.org/10.5061/dryad.qjq2bvqnk) ##

Understanding variation in the diet of widely distributed species can help us to predict how they respond to future environmental and anthropogenic changes. We studied the diet of the red fox Vulpes vulpes, one of the world’s most widely distributed carnivores. We compiled dietary data from 217 studies at 276 locations in five continents to assess how fox diet composition varied according to geographic location, climate, anthropogenic impact and sampling method. The diet of foxes showed substantial variation throughout the species’ range, but with a general trend for small mammals and invertebrates to be the most frequently occurring dietary items. The incidence of small and large mammals and birds in fox diets was greater away from the equator. The incidence of invertebrates and fruits increased with mean elevation, while the occurrence of medium-sized mammals and birds decreased. Fox diet differed according to climatic and anthropogenic variables. Diet richness decreased with increasing temperature and precipitation. The incidence of small and large mammals decreased with increasing temperature. The incidence of birds and invertebrates decreased with increasing mean annual precipitation. Higher Human Footprint Index was associated with lower incidence of large mammals and higher incidence of birds and fruit in fox diet. Sampling method influenced fox diet estimation: estimated percentage of small and medium-sized mammals and fruit was lower in studies based on stomach contents, while large mammals were more likely to be recorded in studies of stomach contents than in studies of scats. Our study confirms the flexible and opportunistic dietary behaviour of foxes at the global scale. This behavioural trait allows them to thrive in a range of climatic conditions, and in areas with different degrees of human-induced habitat change. This knowledge can help place the results of local-scale fox diet studies into a broader context and to predict how foxes will respond to future environmental changes. Castañeda et al. 2022 Mammal Review (Variation in red fox Vulpes vulpes diet in five continents)

Within an overall project to assess the ability of the agricultural sector to contribute to bioenergy production, we set out here to examine the economic and technological viability of a bioenergy facility in an uncertain economic context, using the stochastic viability approach. We consider two viability constraints: the facility demand for lignocellulosic feedstock has to be satisfied each year and the associated supply cost has to be lower than de profitability threshold of the facility. We assess the viability probability of various supplying strategies consisting in contracting a given share of the feedstock demand with perennial dedicated crops at the initial time and then in making up each year with annual dedicated crops or wood. The demand constraints and agricultural prices scenarios over the time horizon are introduced in an agricultural and forest biomass supply model, which in turns determines the supply cost per MWh and computes the viability probabilities of the various contract strategies. A sensibility analysis to agricultural prices at initial time is performed. Results show that when they are around or under the median (of the 1993–2007 prices), the strategy consisting in contracting 100% of the feedstock supply with perennial dedicated crops is the best one.

An important outcome of a university business education is to shape individuals who are capable of working in and operating businesses that deliver economically profitable, socially responsible and ecologically viable services. In preparing future sustainable tourism workers, universities also need to design curricula that develop students’ skills in critical thinking and acting with a sense of ethics and empathy. Research evidence indicates, however, that students often graduate without these skills. A potential reason for this is the design of tourism curricula based on weaker conceptualisations of sustainability (e.g. triple bottom line) as opposed to stronger conceptualisations of sustainability (more holistic and inclusive approaches). Another possible reason could be that educators are not successfully cultivating students’ abilities to think in more complex ways about sustainability nor are they adequately acknowledging the ways in which their students make sense of a complex concept such as sustainability. To add to the complexity of the sustainability phenomenon, there is growing international pressure on the tourism industry by the United Nations (UN) to work towards achieving the 17 global sustainable development goals (SDGs) by 2030. Despite recognition that tourism can help contribute towards the SDGs, a UN report provides evidence that tourism policymakers are not actively and sufficiently engaging with the SDGs. The UN’s recognition of the tourism industry’s ability to advance the SDGS through economic growth (SDG 8) is further problematic, even if this is seen as sustainable economic growth. The term ‘sustainable development’ has long been contested as a weaker form of sustainability due to its progrowth and development emphasis. Given the current global overtourism crisis, it seems more important than ever that universities pay attention to how sustainable tourism is being interpreted and implemented. This is necessary if educators are to truly encourage stronger sustainability mindsets in future tourism workers and change makers. Therefore, the overarching aim of this thesis is to explore how conceptualisations of strong sustainability amongst university students can be strengthened. This study is the first to explore the usefulness of variation theory in strengthening conceptualisations of strong sustainability amongst university tourism students. It provides the tourism literature with evidence of: 1) the conceptualisation of sustainability currently being integrated into undergraduate tourism courses by universities internationally; 2) the benefits of phenomenography as a research approach for studying qualitative difference in understanding concepts such as sustainability and sustainable tourism; 3) the viability of using a learning study approach to develop ‘stronger’ understandings of sustainability; and 4) the potential of variation theory to explain how individuals acquire understandings of sustainability. The empirical research is presented in three studies to address three main research objectives. The first research objective was ‘to identify the conceptualisations of sustainability currently being used in university undergraduate sustainable tourism courses internationally’. The first study, in Chapter III, identifies whether ‘strong sustainability’, sustainability skills and the SDGs are currently underpinning 60 international sustainable tourism courses. Chapter IV ‘explores the different ways in which tourism students, academics and industry practitioners currently conceptualise sustainability’ by conducting phenomenographic interviews with 20 participants. A continuum of less to more complex understandings of sustainability was then developed to identify qualitatively different ways of understanding sustainability. The third research objective was ‘to investigate alternate teaching and learning approaches that might encourage stronger conceptualisations of sustainability amongst undergraduate tourism students’. Chapter V, discusses how the continuum explored in Chapter IV was used in an Australian university sustainable tourism course, underpinned by variation theory, to implement a learning study to enhance students’ understandings of sustainability and the conceptual complexity of the term sustainability. The findings revealed that internationally, sustainable tourism courses do not include ‘very strong’ conceptualisations of sustainability, and that sustainability pedagogies (such as systems and holistic thinking) are not widely used. Phenomenographic interviews with (predominantly Australian-based) lecturers, students and industry workers initially revealed four qualitatively different ways of understanding sustainability ranging from weak to very strong understandings of sustainability. Whilst many tourism lecturers seemed to show understandings of moderate to strong sustainability, very few showed very strong sustainability conceptualisations. This implies that some tourism courses may potentially be designed and underpinned by a weak to moderate articulation of sustainability. These interviews also revealed that industry owners tended to demonstrate a much stronger sustainability understanding than tourism lecturers. Most industry owners had a longer-term focus and key motives centred on giving back to society and a ‘pay-it-forward’ attitude towards the environment. Further findings in the learning study revealed that variation theory offers a valuable teaching and learning strategy to help develop more complex conceptualisations of ‘very strong’ sustainability within a university tourism course. Based on these findings, a number of implications for theory and practice are examined. These include recommendations regarding the design of sustainable tourism courses such as strengthening the sustainability conceptualisations underpinning them; better integration of the SDGs; and the development of critical and systems thinking skills. The three studies also provide examples for use in practice. For example, in Chapter III, a questioning strategy is provided. The phenomenographic continuum in Chapter IV provides a teaching and learning tool for educators to incorporate into sustainability courses to help students’ understandings of the phenomena. Chapter V provides insight into how this continuum can be incorporated into a learning study and provides practical ways of using variation theory. By implementing the continuum into teaching and learning activities, both educators and industry can develop deeper and stronger conceptualisations of sustainability for the tourism industry. Limitations of the study are discussed, and recommendations put forward for future research. In addition, ways in which educational institutions and governments can use the findings of the study to enhance teaching and learning, both in the classroom and industry workplaces, are discussed. Such enhancements will provide a foundation of ‘strong sustainability’ mindsets within our future tourism industry, which in turn will contribute to the 2030 SDGs being achieved.

The present paper tries to address up to what extent corporate social responsibility (CSR) might advance socio-ecological sustainability of the products with a geographical indication (GI), mainly in developing countries. To this end it would be addressed how agricultural firms became financialized in recent decades. It would be then presented how CSR practices have recently emerged to address this issue and whether they have been successful or not. Finally, it would be highlighted the potential of GI certification practices as part of CSR practices that could potentially boost sustainability for agricultural firms in developing countries.

D'ici 2050, l'agriculture devra répondre à une augmentation de la demande alimentaire, due à une augmentation de la population qui devrait atteindre alors les 9 milliards. A l'échelle nationale, cela représente des enjeux de compétitivité et de croissance économique. Par ailleurs, afin d'assurer cette augmentation de la production, il y a deux solutions : augmenter la proportion des terres agricoles au détriment des écosystèmes naturels; et augmenter la productivité agricole. A travers une revue d'articles agronomiques et économiques, nous montrons l'importance de considérer la qualité du sol dans la productivité et la durabilité des exploitations agricoles. Cependant les pratiques agricoles préservant la qualité du sol ne sont pas largement adoptées, ce particulièrement en France. Une analyse économique de ces enjeux permet d'appréhender le processus de décision des agriculteurs, et de déterminer quelles sont les stratégies optimales permettant de répondre à ces enjeux. Nous proposons un modèle de contrôle optimal qui illustre les liens entre les pratiques agricoles et la qualité du sol, quand la qualité du sol est considérée comme un facteur de production endogène. L'intérêt et l'originalité de cet article est d'associer différentes disciplines pour étudier le rôle de la qualité du sol dans la durabilité et la rentabilité des exploitations. Agriculture is facing an expected increase in food production demand, caused by an increased global population of 9 billion people by the middle of this century. At national scale, competitiveness and economic growth issues are at stake. To insure this increase in production, there are two solutions: extend the proportion of agricultural lands at the expense of natural ecosystems; and increase agricultural productivity. Through a review of agronomic and economic articles, we show the importance of considering soil quality in the productivity and sustainability of farms. However, farming practices preserving soil quality are not widely adopted, particularly in France. An economic analysis of these issues provide an understanding of farmers' decision making process, and indicate what the optimal strategies can be to cope with these challenges. We propose an optimal control model that illustrates the links between farming practices and soil quality when soil quality is considered as an endogenous production factor. The interest and originality of this article is to associate different disciplines to investigate the role of soil quality in the sustainability and profitability of farms.

In the proposed paper, data and expertise were collected to provide information and arguments about several issues: about the main criteria of good bread in terms of environmental, nutritional, sensory and sanitary aspects; then, about ways to achieve them in the wheat-to-bread chain, while maintaining affordable prices. Computation for determining the best compromise between the various desired criteria is a challenge, since not all of them are compatible. Several scenarios are explored to highlight tensions between desired criteria, problem formulation and solution analysis such as best- and worst-case scenarios. Hence the approach demonstrates the interest of information systems and computational methods for decision support in agricultural and food policies.