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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.

In the agricultural sector, climate change (CC) affects multiple weather variables at different stages of crop cycles. CC may influence the mean level or affect the distribution of events (e.g., rainfall, temperature). This work evaluates the economic impact of CC-related changes in multiple climatic components, and the resulting uncertainty. For this purpose, a three-stage discrete stochastic programming model is used to represents farm sector of an irrigated area of Italy and to examine the influence of CC on rainfall and on maximum temperature. These variables affect the availability of water for agriculture and the water requirements of irrigated crops. The states of nature, and their change, are defined more broadly than in previous analyses; this allows examining the changes of more climatic variables and crops cultivation. The effect of CC is obtained by comparing the results of scenarios that represent the climatic conditions in the current situation and in the future. The results show that the agricultural sector would seek to lower costs by modifying patterns of land use, farming practices and increasing the use groundwater. The overall economic impact of these changes is small and due primarily to the reduced availability of water in the future. The temperature increase is, in fact, largely offset by the effects of the increase in CO2 levels, which boosts the yield of main crops of the irrigated zone. Therefore, availability and water management becomes a crucial factor to offset the increase of evapotranspiration and of water stress resulting from the increase of temperature. However, the costs of CC are very high for some types of farming, which suffer a large reduction in income.

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)

This work numerically analyzes an innovative process layout considering a torrefaction processes followed by chemical looping combustion of biomass waste, solar hydrogen, and carbon methanation. System performances were evaluated by considering several agro-industrial residues (i.e., sugar beet pulp from sugar production, grape marc from winemaking and olive pits from olive oil production) as fuels, CuO supported on zirconia as oxygen carrier, and Ni supported on alumina as methanation catalyst. The torrefaction pre-treatment was proposed for upgrading the properties, namely heating values, moisture content as well as hydrophobicity, and storability, of the selected biomasses. To this aim, experimental runs were performed at 300 °C and 30 min in a lab-scale fixed bed reactor under an inert atmosphere of nitrogen. The study was complemented with an extensive investigation on fuel properties (i.e., ultimate analysis, proximate analysis, calorific values determination) of both the untreated and the torrefied samples, which provides useful input data for modelling their conversion processes. By considering that only electric energy from renewable sources is used, the capability of the proposed process to be used as an energy storage system was eventually assessed.

The Brazilian project Carne Carbono Neutro (CCN) assumes that a more sustainable beef will increase its value for the consumers. The paper aims to verify this assumption and to suggest a communication strategy supporting the CCN valorization. An online survey involving 506 Brazilian consumers showed three different classes of consumers with significantly different attitudes towards environmental issues. Price and quality always strongly influence their demand for beef. A communication campaign should focus on the CCN lower beef environmental impact and beef price/quality issues. Social media on internet and education programs in schools and different institutions should be used. International Journal on Food System Dynamics, Vol 11, No 4 (2020)

Climate change is worsening the number, frequency and duration of natural hazards across the globe, making disaster risk reduction and resilience building among the most pressing challenges ahead. According to UN-Habitat, informal settlements are where the impacts of climate change are the most acute in urban areas and strengthening resilience in these neighbourhoods represents a very complex yet urgent challenge. Today, urban areas are home to 56 per cent of the world’s population and this figure is projected to increase to 60 per cent by 2030 and 68 per cent by 2050, with 90 per cent of the growth by 2050 expected to occur in less developed economies. In these countries, population growth and displacement (including climate-driven migrations) will lead to rapid and unplanned urbanisation forcing a growing number of people into informal settlements. Currently, one billion people live in informal settlements, mostly in Asia, Sub-Saharan Africa and Latin America and this figure is expected to grow to 3 billion in 2050. Horizon 2020 MSCA-RISE, Grant Agreement #873119

One of the most important routes for cultural tourism in Bali connects the seaside tourist town of Sanur to the provincial capital city of Denpasar, continues through the Sukawati Art Market, skirts the village of Mas, site of many studios and workshops, and culminates in Ubud, the historic artistic center of Bali. The city of Ubud is the epicenter of a renowned tradition of painting but it is also a community staggering under the influx of tourists arriving via this route. The roadway from Sanur to Ubud illustrates a range of different types of arts-based heritage tourism, from mass produced art for beachside tourists in Sanur to several high-end galleries in Ubud. This trajectory of towns and their varied relationships with the arts and tourism illustrate the potentials and pitfalls of arts tourism as a means of development, and this roadway highlights the challenges of crafting sustainable routes for tourists interested in the arts. Almatourism - Journal of Tourism, Culture and Territorial Development, Vol 4, No 8 (2013)

As stated in the European Green Deal: "to tackle climate and environmental-related challenges is this generation defining task". Young generations represent a juncture between understanding the potential hazardous impact of climate change on society and local communities. In this frame, STEAM education in school proved its ability to nurture students' curiosity and cognitive resources, provide them with the right tools to understand the world's complexity and face the challenges that the current times are posing, like climate change, among many others. However, STEAM subjects are not always part of educational curricula: according to the OECD Programme for International Student Assessment (PISA) report 2018, more than 20% of pupils in the European Union has insufficient proficiency in reading, mathematics, or science. Such a lack of diversity in the offer may decrease pupils' motivation to pursue STEAM academic paths, often perceived as highly theoretical and complex. The improvement of STEAM education in secondary schools is the core objective of the Erasmus+ funded project "GIS4Schools", which aims at promoting a new innovative approach to foster the teaching of STEAM subjects in secondary schools across four different European countries: Italy, Portugal, Romania, and Spain. The project intends to introduce the education of GIS and satellite technologies for Earth Observation- rarely adopted in secondary schools- and applying them to the thematic area of Climate Change. GIS4Schools combines Inquiry-Based Science Education (IBSE) with Problem Based Learning (PBL) approaches to an interdisciplinary contextualisation of the science topic. Pupils actively contributes to the co-creation of new knowledge by assessing with GIS tools the impacts of specific climate challenges affecting their local community thanks to Copernicus products, Sentinels' satellite-derived information, and other ancillary data. The paper illustrates the genesis of the project, and more specifically, the process leading to the development of training packages for secondary schools' teachers and pupils. Furthermore, the paper explores which methodology and pedagogic approach must be adopted to transfer new knowledge from teachers to pupils. The paper also describes how the teaching of GIS and satellite technologies for Earth observation in secondary school can impact pupils' perception of STEAM subjects and how this can impact their future academic careers. Specific attention is also dedicated to the description of the innovative tools developed and applied for monitoring and evaluation.