Search

The advance of human activities in a disorderly way has accelerated in recent decades, intensifying the environmental impacts directly linked to these practices. The atmosphere, essential for the maintenance of life, is increasingly saturated with pollutants, offering risks to practically all the inhabitants of the planet, a process that, in addition to causing illness and early mortality, is related to serious financial losses (including in the production of goods), dangerous temperature increase and severe natural disasters. Although this perception is not recent, the global initiative to control the different mechanisms that trigger the commitment of biodiversity and irreversible climate changes arising from pollution is still very incipient, given that global initiatives on the subject emerged just over 50 years ago. Brazil is a territory that centralizes many of these discussions, as it still faces both political and economic obstacles in achieving a sustainable growth model as it was agreed through the United Nations 2030 Agenda. Even though there is little time left for the completion of these goals, much remains to be done, and despite the fulfillment of this deadline, the works will certainly need to be extended for much longer until an effective reorientation of consciousness occurs. Scientific researches and discussions are fundamental tools to the understanding of issues still little explored in this field., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Sea cucumbers are the second most diverse class among echinoderms. They are characterized by an elongated body and dermal ossicles in the body wall. Among the included groups in that class, the order Holothuriida encompasses many species of commercial interest. Faced with the threats of biodiversity loss resulting from the climate crisis and the advancement of cities, this study provides an overview of recent research involving the Holothuriida of the Brazilian Coast. Searches were carried out in the main periodical databases, using appropriate keywords, targeting publications on the subject in the period between 2000 and 2023. In total, 69 publications were found, most of them corresponding to scientific articles in international journals. Most of the studies come from the Northeast region in Brazil (56.52%). Regarding lines of research, those involving taxonomy and molecular analysis were the most prevalent. Over these 20 years, seven species constituted new occurrences. Of note are the studies focused on Holothuria (Halodeima) grisea, which makes up 39.13% of papers. Despite progress, little is known about morphological variations, genetic distance between populations, population densities, and on reproductive biology of species. Brazil has a vast, heterogeneous coastal area, with unique characteristics to which the species are adapted. The findings reinforce the importance to expand studies aiming on knowing the biodiversity, reproductive biology, and population densities of species. Such data are essential for the creation of public policies aimed at the conservation of species of Holothuriida and their habitats. [ABSTRACT FROM AUTHOR]

This paper aims to explore how the principles of participatory action research (PAR) articulate with questions of climate justice. Drawing on three qualitative case studies in Brazil, Fiji and Kenya, the paper explores university institutional capabilities, asking how the principles of mobilising PAR to support transformative outcomes can further climate justice. The paper argues that for participatory action research to become a pathway to build universities' capabilities, key considerations are needed. PAR needs to: (a) move beyond change in individual behaviour to respond to climate change and affect institutional norms, procedures and practices; (b) recognise and partner with marginalised groups whose voice and experiences are at the periphery of climate debate, enabling reciprocal flows of impact and knowledge between universities and wider societies; and (c) foster "relationships of equivalence" with actors within as well as outside university to influence university governance and wider climate-related policy-making processes. [ABSTRACT FROM AUTHOR]

This paper introduces an index to assess the adaptive capacity of Indigenous Lands in the context of climate change vulnerability. The index was developed considering two sub-indices, one to evaluate the indigenous autonomy and ability to self-organise and establish relationships with other groups and the surrounding society, and the other to assess the level of protection of the Indigenous Land surroundings. The aim is to guide integrated climate adaptation strategies for electricity companies operating near Indigenous Land. The paper also presents an application of the proposed index in the Belo Monte hydropower plant in the Amazon region, with a strong presence of Indigenous Lands and one of Brazil's most important hydropower plants. The results made it possible to compare the adaptive capacity of the Indigenous Lands and evaluate their different degrees of engagement and environmental protection, which can help in the proposition of adaptation actions. [ABSTRACT FROM AUTHOR]

While the work of waste pickers advances urban sustainability, there has been little focus on how climate change impacts affect them. This paper reports on a pilot study with 61 waste pickers in Minas Gerais, Brazil to understand their perspectives on climate change impacts and actions. It explores how waste pickers experience climate change impacts at home and at work, their adaptive strategies and the specific actions and actors needed to address these impacts. Waste pickers have practical knowledge and experience of climate events. But due to precarious employment and lack of access to services, infrastructure and social support, their responses are improvised and inefficient. They require better institutional support and their proposals must be incorporated into a negotiated approach to urban resilience. Proposals such as the climate bonus – similar to the existing recycling bonus – may help address the structural drivers of vulnerability for waste pickers in Minas Gerais. [ABSTRACT FROM AUTHOR]

This paper attempts to analyze the political uncertainty surrounding environmental degradation by means of utilizing the game theoretical model. It challenges the popular opinion that views the political exchanges over climate change as a super game where players will eventually learn to cooperate through repeated interactions. Instead the paper argues that the climate change problem is essentially a case of 'one-shot prisoner's dilemma' irrespective of the number of times the players interact with one another. To demonstrate the one-shot prisoner's dilemma at play, it employs the comparative method to explain the climate politics between the major polluters of the world (US, China, Brazil and India). The debate is analyzed at two distinct levels: Intergenerational and Intra-generational level. Lastly, the paper notes the significance of 'the immediate threat factor', which it argues poses a fundamental challenge to the political resolution of the climate change problem. [ABSTRACT FROM AUTHOR]

Climate change mitigation and biodiversity conservation are two major environmental actions that need to be effectively performed this century, alongside ensuring food supply for a growing global human population. These three issues are highly interlinked through land management systems. Thus, major global food production regions located in biodiversity hotpots and with potential for carbon sequestration face trade-offs between these valuable land-based ecosystem services. The state of Mato Grosso in Brazil is one such region, where private lands that have been illegally used for agriculture could be restored to natural vegetation - with potential benefits for climate change mitigation and biodiversity conservation, although with potentially negative effects on food production. To address this challenge, in this study we used a multicriteria nexus modeling approach that considers carbon stocks, priority areas for biodiversity conservation, and the opportunity for food production, to develop scenarios of land allocation that aim to balance the benefits and drawbacks of ecosystem restoration. Results show that forcing landowners to restore their individual lands compromises the potential for a "green land market" throughout the Amazon biome in which private landowners with lower food production capacities (e.g., less connected to markets and infrastructure) would benefit from restoration programs that compensate them for the inclusion of environmental restoration among their economic activities, instead of taking large economic risks to produce more food. We additionally highlight that strategic ecosystem restoration can achieve higher gains in biodiversity and carbon with lower costs of restoration actions and with minimal impacts on agriculture. Analyses like ours demonstrate how scenarios of land allocation that simultaneously address climate mitigation and biodiversity conservation through ecosystem restoration, while also minimizing possible impacts on food production, can be sought to move the world towards a sustainable future., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier B.V. All rights reserved.)

The recent agricultural expansion in the Matopiba region, Brazil's new agricultural frontier, has raised questions about the risk of increasing soil organic carbon (SOC) loss as large areas of native vegetation (NV; i.e., Cerrado biome) have been replaced by large-scale mechanized agriculture. Although sustainable managements, such as integrated crop-livestock (ICL) systems, are considered strategic to counterbalance the SOC loss associated with land-use change (LUC) while keeping food production, little is known about their long-term effects on SOC stocks in the Matopiba region. To this end, we used the DayCent model to simulate the effects of converting the management commonly used in this region, i.e., soybean-cotton rotation under no-tillage (NT), into ICL systems with distinct levels of intensification (e.g., crop rotations: soybean-pasture and soybean-pasture-cotton; soil and crop management: grass irrigation, scarification/harrowing, and length of grass cultivation) on long term SOC dynamics. Additionally, data from two projected climate scenarios: SSP2-4.5 [greenhouse gases emissions (GHG) will not change markedly over time and global temperature will increase by 2.0 °C by 2060] and SSP5-8.5 (marked changes in GHG emissions are expected to occur resulting in an increase of 2.4 and 4.4 °C in global temperature in the middle and at the end of the century) were included in our simulations to evaluate climate change effects on SOC dynamics in this region. Based on a 50-yr-time frame simulation, we observed that SOC stocks under ICL systems were, on average, 23% and 47% higher than in the NV (36.9 Mg ha -1 ) and soybean-cotton rotation under NT (30.9 Mg ha -1 ), respectively. Growing grasses interlaid with crops was crucial to increase SOC stocks even when disruptive soil practices were followed. Although the irrigation of grass resulted in an early increase of SOC stocks and a higher pasture stoking rate, it did not increase SOC stocks in the long term compared to non-irrigated treatments. The SSP2-4.5 and SSP5-8.5 climate scenarios had little effects on SOC dynamics in the simulated ICL systems. However, additional SOC loss (∼0.065 Mg ha -1 yr -1 ) is predicted to occur if the current management is not improved. These findings can help guide management decisions for the Matopiba region, Brazil, to alleviate the anthropogenic pressure associated with agriculture development. More broadly, they confirm that crop-livestock integration in croplands is a successful strategy to regenerate SOC., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

The thermal dynamics of the upper atmosphere, especially in the mesosphere, have been improving our understanding about the effects of climate change, as well as how the dynamics and general circulation in the upper atmosphere are driven by different types of waves, such as the atmospheric gravity waves, planetary waves and atmospheric tides. In order to study the upper atmospheric temperature variability and gravity waves, several research groups have been employing the remote technique of observing the airglow emissions originated in the upper mesosphere and lower thermosphere, besides emissions from the ionosphere. INPE's airglow group started the studies on emissions from the upper atmosphere to investigate temperature and dynamics in the mesosphere, thermosphere/ionosphere at the end of 70's. However, only in 2001 this group sent the first airglow experiment to the Brazilian Antarctic Station Comandante Ferraz (EACF) to measure the OH (8-3) emission and temperature. From that year to 2014, several other experiments were carried out at EACF, not only to measure the temperature and airglow intensities, but also to observe gravity waves, winds and other related phenomena. This paper presents airglow experiments at EACF from 2001 to the present, including illustrations, examples of already published results, and unpublished data.

This paper discusses the relationship between morality and engagement focused on the narratives about climate change. The goal of our research is to understand whether moral grounds identified in individuals and in narratives can influence youth's engagement in environmental debate and news consumption on climate change. Recognizing that people's perceptions of climate change are related to several factors, such as ideas, cultures, and values, we sought to understand whether there is a "green morality" or a prevalence of more responsive moral attributes in individuals when they are exposed to thinking about the environment. We use the Moral Foundations Theory to analyze comments on the environmental news on Twitter and a questionnaire adapted to the environment on moral grounds. The data were collected from Brazil and Portugal between 2021 and 2022. The overall results showed a high incidence of responses with Care/Harm and Fairness/Cheating, and an average incidence of responses related to Loyalty/Betrayal and Authority/Subversion. The results indicate that youngsters show a more prominent moral to care and environmental harm, as well as justice and responsibility, which may influence their interest in the consumption of environmental news and future engagement. In addition, there are factors, such as political issues, that can influence moral values and engagement. [ABSTRACT FROM AUTHOR]

This paper interrogates the extent to which imaginaries of climate and ecological breakdown attend to the memories, knowledges, and experiences of communities already impacted by histories of racism, colonialism, and poverty. Drawing on insights from Black studies and decolonial thinking, the article reflects on how the causes and effects of anthropogenic climate change can be mapped onto geographies of racialised violence and social dispossession. Specific emphasis is given to Rio de Janeiro, notably its port area, a geographical space where future-oriented narratives remain oblivious to the city's history of anti-Black violence and Indigenous genocide. In parallel, the paper looks at the recently built Museum of Tomorrow and its public representations of the Anthropocene. Overall, the article contends that pluralising accounts of the Anthropocene might offer alternative epistemic entry points for understanding and interrupting the mounting ecological catastrophe. [ABSTRACT FROM AUTHOR]

The Covid-19 pandemic has negatively disrupted the way our economy and society functions. Nonetheless, there have also been some positive externalities of the pandemic on the environment. This paper aims to evaluate the concentration of nitrogen dioxide in Brazilian metropolitan regions after the policies adopted to confront Covid-19. In terms of methodological approach, the study employs cross-sectional quantitative analyses to compare the period of 36 days, i.e., 12 March to 16 April—before (in 2019) and after (in 2020) the pandemic declaration. The data were obtained from the Sentinel 5-P low-Earth polar satellite concerning Brazilian metropolitan regions (n = 24). Thorough spatial and statistical analyses were undertaken to identify the pre- and during pandemic nitrogen dioxide concentrations. Complementarily, Spearman's correlation test was performed with variables that impact air quality. The study results a fall in nitrogen dioxide concentration levels in 21 of the 24 metropolitan regions which was observed. The Spearman's correlation coefficient between the nitrogen dioxide variation and the vehicle density was 0.485, at a significance level of 0.05. With these findings in mind, the paper advocates that while the pandemic has a significant negative consequence on the health of population globally, a series of measures that result in a new social organization directly interfere in the reduction of air pollution that contributes to the quality of the air we breathe. [ABSTRACT FROM AUTHOR]

Climate change is one of the most relevant challenges that the world has to deal with. Studies that aim to understand the behavior of environmental and atmospheric variables and the way they relate to each other can provide helpful insights into how the climate is changing. However, such studies are complex and rarely found in the literature, especially in dealing with data from the Brazilian territory. In this paper, we analyze four environmental and atmospheric variables, namely, wind speed, radiation, temperature, and humidity, measured in 27 Weather Stations (the capital of each of the 26 Brazilian states plus the federal district). We use the detrended fluctuation analysis to evaluate the statistical self-affinity of the time series, as well as the cross-correlation coefficient ρDCCA to quantify the long-range cross-correlation between stations, and a network analysis that considers the top 10% ρDCCA values to represent the cross-correlations between stations better. The methodology used in this paper represents a step forward in the field of hybrid methodologies, combining time series and network analysis that can be applied to other regions, other environmental variables, and also to other fields of research. The application results are of great importance to better understand the behavior of environmental and atmospheric variables in the Brazilian territory and to provide helpful insights about climate change and renewable energy production., Competing Interests: As described in the manuscript itself, the authors declare that there are no conflicting interests., (Copyright: © 2023 Oliveira Filho et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Numerical models have been developed to investigate and understand responses of biogeochemical cycle to global changes. Steady state, when a system is in dynamic equilibrium, is generally required to initialize these model simulations. However, the spin‐up process that is used to achieve steady state pose a great burden to computational resources, limiting the efficiency of global modeling analysis on biogeochemical cycles. This study introduces a new Semi‐Analytical Spin‐Up (SASU) to tackle this grand challenge. We applied SASU to Community Land Model version 5 and examined its computational efficiency and accuracy. At the Brazil site, SASU is computationally 7 times more efficient than (or saved up to 86% computational cost in comparison with) the traditional native dynamics (ND) spin‐up to reach the same steady state. Globally, SASU is computationally 8 times more efficient than the accelerated decomposition spin‐up and 50 times more efficient than ND. In summary, SASU achieves the highest computational efficiency for spin‐up on site and globally in comparison with other spin‐up methods. It is generalizable to wide biogeochemical models and thus makes computationally costly studies (e.g., parameter perturbation ensemble analysis and data assimilation) possible for a better understanding of biogeochemical cycle under climate change. Plain Language Summary: Land carbon cycle models, a critical component of earth system models, have been developed to investigate and understand ecological responses to global changes. However, the model spin‐up process to achieve steady state are usually time‐consuming and pose great computational burden. The spin‐up problem hinders our ability to study some key issues in land carbon cycle modeling, such as sensitivity analysis. This paper applies a new SASU framework to accelerate spin‐up of Community Land Model matrix version 5. Compared with traditional native dynamic approach, SASU speeds up the spin‐up by approximately 50 times, achieving the fastest spin‐up speed than all the previously recorded methods. Our SASU method is applicable to biogeochemical models and, therefore, liberates the models for computationally costly studies, such as parameter perturbation ensemble analysis and data assimilation. Key Points: A new semi‐analytical spin‐up (SASU) framework combines the default accelerated spin‐up method and matrix analytical algorithmSASU accelerates CLIM5 spin‐up by tens of times, becoming the fastest method to our knowledgeSASU is applicable to most biogeochemical models and enables computationally costly study, for example, sensitivity analysis [ABSTRACT FROM AUTHOR]

A crucial aspect analysed during the last years, aiming to improve sugarcane production, is the impact of climate change on sugarcane productivity. One of the strategies to mitigate climate change's impact on sugarcane yield is the development of new varieties known to positively affect crop production. This paper analysed how climate change impacts sugarcane production regarding the different planted varieties. Data regarding sugarcane harvest were collected from a cooperative in the south of Goiás state—Brazil, the second biggest national sugarcane producer. Results indicate that climate impact on sugarcane yield is irrelevant when controlling for different varieties. Considering the results presented in this work, the Brazilian government should keep the incentives for the development of new sugarcane varieties and, at the same time, spur sugarcane producers to use the new sugarcane varieties. The results imply that if the variety is correctly chosen, sugarcane can be produced without harming the environment, contributing to reaching SDG 15. Moreover, it is less probable that an adverse climatic event will destroy the planted area, preventing sugarcane producers from severe loss and contributing to achieving SDGs number 1 and 2. [ABSTRACT FROM AUTHOR]

This paper aims to analyze the economy-wide and regional effects of climate change-induced productivity decrease in Brazil. Our methodological framework was based on the General Equilibrium Analysis of the Brazilian Economy Project—PAEGDyn, a dynamic CGE model. The results show that the projected falls in agricultural productivity impose reductions in the performance of Brazilian GDP over time. Even with the use by other sectors of the economy of the factors unemployed in agriculture, there is no intersectoral compensation in economic production over time able to bring it back to the reference trajectory. In addition, the impact will be greater in warmer and poor regions, which depend on agriculture and present greater income inequality, accentuated by the free mobility of production factors within the national border. Therefore, the main implication of this study is the need to allocate scarce resources for adaptation and mitigation policies primarily for these regions, including broadly stimulating economic development with more income distribution. This will allow these regions to protect themselves by making investments in new technologies and modern infrastructure for the agricultural sector. [ABSTRACT FROM AUTHOR]

Due to climate change conditions, natural ventilation potential may reduce over the years and increase dependence on HVAC systems. Moreover, occupants' behaviour regarding natural ventilation is a significant parameter affecting the thermal-energy performance of residential buildings as people tend to occupy their homes differently depending on their life, work and cultural routines. Therefore, in this study, the thermal-energy performance of a Global South (GS) housing case study located in Brazil was assessed in a future weather context. This paper included two major steps: (1) Optimization procedure to create optimized models based on different occupancy patterns; and (2) Parametric analysis to explore the building's thermal-energy performance for a given constructive design option, occupant behaviour and weather data. The optimization procedure included a multi-objective optimization based on the Non-dominated Sorting Genetic Algorithm II (NSGA-II) to minimize discomfort hours and cooling energy demand, while parametric analysis explored the occupants' behaviour varieties derived from alternative occupancy patterns, ventilation availabilities and HVAC operation modes. The obtained future context simulation results indicated an increase in discomfort hours and cooling energy demand, while the most appropriate architecture design might vary depending on the occupancy behaviour. [ABSTRACT FROM AUTHOR]

We present a thorough analysis of the scientific production in climate change and adaptation in Brazil. We conducted a bibliometric and bibliographic review to reveal and discuss how climate change research has been carried out. We compared a broader climate change research dataset with a more specific climate adaptation research dataset, to understand the main differences and convergence points, and how science conducted from a mitigation and adaptation perspective demonstrates potential to confront the climate change challenges and drivers in Brazil. Four main clusters of investigation within climate change were detected: (1) impacts on forest and plant development, (2) land use and ecology, (3) adaptation/governance, and (4) climate/atmospheric studies. Only about 5% of the total studies on climate change address adaptation, for which three main clusters of research were identified: (1) adaptation actions and policies; (2) urban environment, vulnerability, and health and (3) food and coastal impacts. Although there are strong research trends in climate change for the Amazon Forest, there was less evidence of studies concerning climate adaptation for this and other Brazilian biomes, smaller cities, rural and traditional communities, and poorer regions. Our results shed a light on the more commonly chosen research topics, their strongest points and potential gaps and trends. This can contribute to the scientific communication and implementation of climate actions in Brazil, and a better understanding of the climate science knowledge from the perspective of a middle-income country. [ABSTRACT FROM AUTHOR]

Devastating forest fires in Brazil's Amazon rainforest, one of the most important biomes for Earth's climate balance, have captured the world's attention in 2019 and 2020. Foreign governments, non-governmental organizations and institutional investors pressured Brazilian President Jair Bolsonaro to act and control the situation. Within this context, institutional investors threatened to divest from companies potentially linked to the wildfires and to sell government bonds, creating a divestment movement. Against this background, this article shows that Bolsonaro's responses varied for each of the groups criticizing the handling of the environmental situation. It is argued that the Brazilian government adopted a more conciliatory tone and took more concrete actions when responding to institutional investors' demands, compared to the responses for foreign governments and non-governmental organizations (NGOs). Based on fifteen in-depth interviews conducted in 2021 with professionals involved in this divestment case, the paper concludes that institutional investors played a key role in Bolsonaro's winning coalition and electoral aspirations. Moreover, the shortage of financial capital due to the COVID-19 pandemic created further incentives for Bolsonaro to avoid conflicts with institutional investors. [ABSTRACT FROM AUTHOR]

Adapting reservoir operation to a changing climate is important to improve water system performance toward benefits including water security, and energy production. However, managers still need to know if and how reoperation can also assist long-term mitigation of climate change impacts on aquatic ecosystems, creating, for example, opportunities to revert fish migration and recruitment losses. This paper investigates the operational adaptive capacity of water systems to mitigate climate change impacts on both hydropower and aquatic ecosystems, with a detailed representation of fish species recruitment response to flow regime changes. The methodology framework combines hydroclimatic modeling, explicit stochastic reservoir operation modeling, and predictive modeling of migratory fish recruitment abundance, illustrated using the large-scale hydropower system of the Paraná River Basin in Brazil. Results identified that operating policies can be adapted to improve hydropower production under a changing climate with drier conditions by 2% to 8% compared with current operating policies. Although insufficient to eliminate all energy losses that climate change may cause, the optimized operation provided flexibility to adjust flow releases and reduce the likelihood of future severe multiyear deficits, which are very harmful to fish populations. Adapting operation to climate change sacrificed fish recruitment performance over a few years of the time horizon to maintain an overall higher storage, but it also improved the chances of producing flow releases in magnitude, timing, and duration during long drier periods that prevented more severe impacts of climate change on fish recruitment and population. This indicates that it might be possible to have synergies in adapting reservoir operation to not only prevent energy losses, but also to improve fish recruitment under climate change. The ecosystem resiliency under adapted operation increased up to 2 times compared with the isolated climate change effect. [ABSTRACT FROM AUTHOR]

Plot-based monitoring has yielded much information on the taxonomic diversity and carbon (C) storage in tropical lowland forests of the Amazon basin. This has resulted in an improved understanding of the relationship between lowland forest biomass dynamics and global change drivers, such as climate change and atmospheric CO2 concentration. Much less attention has been paid to the mountain ecosystems of South America that comprise montane forests and alpine vegetation (páramo, puna, high Andean grasslands, wetlands, and alpine heath). This vegetation complex provides a variety of ecosystem services and forms a natural laboratory along various physiographic, geological and evolutionary history/biogeography, and land use history gradients. Here, we review existing empirical understanding and model-based approaches to quantify the contribution of mountain ecosystems to ecosystem service provision in the rapidly changing socioecological setting of the South American mountains. The objective of this paper is to outline a broad road map for the implementation of mountain vegetation into dynamic global vegetation models (DGVM) for use in Earth System Models (ESM), based on our current understanding of their structure and function and of their responsiveness to global change drivers. We also identify treeline processes, critical in mountain ecosystems, as key missing elements in DGVMs/ESMs, and thus explore in addition a treeline model. Stocktaking of the availability of empirical data was undertaken from eight research sites along the Andes and in south-eastern Brazil. Out of eight sites, two (one each in Venezuela and Brazil) had some climate, ecological and ecophysiological data potentially suitable to parametrise a DGVM. Tree biomass data were available for six sites. A preliminary assessment of the Joint UK Land Environment Simulator (JULES) DGVM was made to identify gaps in available data and their impacts on model parametrisation and calibration. Additionally, the potential climate-determined elevation of the treeline was modelled to check the DGVM for its ability to identify the transition between the montane forest and alpine vegetation. Outcomes of the evaluation of the JULES land surface model identified the following key processes in montane forests: temperature-related decrease in net primary production, respiration, and allocation to above-ground biomass and increase in soil C stocks with elevation. There was a variable agreement between simulated biomass and those derived from field measurements via allometric equations. We identified major gaps between data availability and the needs for process-based modelling of South American mountain vegetation and its dynamics in DGVMs. To bridge this gap, we propose a transdisciplinary network, composed of members of the theoretical/modelling and empirical scientific communities, to study the natural dynamics of mountain ecosystems and their responses to global change drivers locally, regionally and at the continental scale, within a social-ecological system framework. The work presented here forms the basis for the design of data collection from field measurements and instrumental monitoring stations to parametrise and verify DGVMs. The network is designed to collaborate with and complement existing long-term research initiatives in the region and will adopt existing standard field protocols. Complementary protocols will ensure compatibility between field data collection and data needed for process-based and empirical models. [ABSTRACT FROM AUTHOR]

Anthropogenic disturbances and climate change are expected to reorganize biodiversity on multiple ecological levels from populations to ecosystems, especially in arid and semiarid regions due to environmental filtering imposed by water stress. This paper examines the individual and combined effects of chronic anthropogenic disturbance and increased aridity on the structure of fruit-feeding butterfly assemblages in a human-modified landscape of Caatinga dry forest, in the northeast of Brazil. Butterflies were recorded monthly across old-growth forest stands and their assemblages were described in terms of taxonomic and functional community-level attributes confronted to different levels of chronic disturbance and aridity. Butterfly assemblages were species-poor but had high species replacement (turnover) along both the chronic disturbance and aridity gradients. We observed a negative effect of aridity on alpha and beta diversity of butterfly assemblages. Butterfly assemblages across forest stands exposed to high levels of chronic disturbance and aridity had a nested structure. Functional diversity (Rao's Q) and the community-weighted means (CWM) of ocellus-bearing species and monocot-feeding larvae were negatively and positively affected by increased aridity and chronic disturbance, respectively. Our findings suggest that aridity and its combination with chronic disturbance have a drastic effect on the structure of butterfly assemblages in the Caatinga dry forest. These findings highlight that rainfall and chronic disturbances as major drivers of biological reorganization in human-modified landscapes. As aridity increases, Caatinga tends to support taxonomically and functionally impoverished and highly distorted assemblages. [ABSTRACT FROM AUTHOR]

While the Global North is historically responsible for the majority of greenhouse gas emissions in the atmosphere, Newly Industrializing Countries (NICs) are expected to overtake developed country emissions in the coming years. At the same time, NICs are climbing the ladder of the global economy, increasing their competitiveness on the global stage and catching up with technological competencies of developed economies. Against this background, this paper explores innovation and collaboration in Climate Change Mitigation Technologies (CCMTs) in NICs. The research question is whether the propensity to innovate and diffuse CCMTs is impacted by technological collaboration with two highly developed countries, Germany and The United States. The sample of NICs includes the BRICS (Brazil, Russia, India, China, South Africa) plus Israel, Mexico, and Turkey, in a panel from 1995 to 2015. The empirical results suggest that collaboration with both Germany and the U.S. is highly significant for domestic CCMT innovation in NICs. These findings are important because, stepping beyond the literature on the merits and drawbacks of global climate governance tools such as the Clean Development Mechanism (CDM) and related UNFCCC processes, they show that collaboration for climate and environmental technologies could become a key tool to significantly improve the chances to stay in line with the Paris Climate Agreement. Finally, the policy advice for NICs and developing countries is to, above all else, focus on incubating strong technological innovation systems, including strengthening domestic Intellectual Property Rights (IPR), as well as to enhance technological collaboration with developed countries., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Copyright of Revista de Economia e Sociologia Rural is the property of Sociedade Brasileira de Economia e Sociologia Rural and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Climate change is a spontaneous process which can be observed over a longer duration of time - around ten to fifteen years. It refers to long-term shifts in temperatures and weather patterns. Climate variation has been identified as the major cause of year-to-year fluctuations in agricultural production in both developed and developing countries. The present paper investigates the impact of climate change on agricultural productivity by employing the stochastic frontier production function proposed by Battese and Coelli (1995) with time varying effect using panel data spanning from 1995 to 2022 for four leading agricultural countries - Brazil, China, India and US. The stochastic frontier production function is based on the Cobb-Douglas production function in which agricultural output is regressed on various inputs along with the climate parameter to capture the technical efficiency effects involved in production function. The estimated results suggest that there is a significant negative impact of climate change on agricultural production as well as its technical efficiency. The correlation results also indicate that climate change has a detrimental impact on agricultural output as well as labour productivity. There is need for policies that jointly address sustainable development and climate change. Three broad categories of action are required - cutting emissions, adapting to climate change and financing for required adjustments. Alternative development pathways such as pursuing institutional changes and stimulating clean technology innovations can affect climate change. While excessive government intervention is inadvisable, if climate change is left unchecked, it will be a drag on the economy. [ABSTRACT FROM AUTHOR]

Global warming is causing an intensification of extreme climate events with significant changes in frequency, duration, and intensity over many regions. Understanding the current and future influence of this warming in northeastern Brazil (NEB) is important due to the region's greater vulnerability to natural disasters, as historical records show. In this paper, characteristics of climate change projections (precipitation and air temperature) over NEB are analyzed using 15 models of Coupled Model Intercomparison Project Phase 6 (CMIP6) under four Shared Socioeconomic Pathways (SSPs: SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) scenarios. By using the Taylor diagram, we observed that the HadGEM3-GC31-MM model simulates the seasonal behavior of climate variables more efficiently. Projections for NEB indicate an irreversible increase in average air temperature of at least 1 °C throughout the 21st century, with a reduction of up to 30% in annual rainfall, as present in scenarios of regional rivalry (SSP3-7.0) and high emissions (SSP5-8.5). This means that a higher concentration of greenhouse gases (GHG) will increase air temperature, evaporation, and evapotranspiration, reducing rainfall and increasing drought events. The results obtained in this work are essential for the elaboration of effective strategies for adapting to and mitigating climate change for the NEB. [ABSTRACT FROM AUTHOR]

This paper aims to find probabilities of extreme values of the air temperature for the Cerrado, Pantanal and Atlantic Forest biomes in Mato Grosso do Sul in Brazil. In this case a maximum likelihood estimation was employed for the probability distributions fitting the extreme monthly air temperatures for 2007–2018. Using the Extreme Value Theory approach this work estimates three probability distributions: the Generalized Distribution of Extreme Values (GEV), the Gumbel (GUM) and the Log-Normal (LN). The Kolmogorov–Smirnov test, the corrected Akaike criterion AICc, the Bayesian information criterion BIC, the root of the mean square error RMSE and the determination coefficient R2 were applied to measure the goodness-of-fit. The estimated distributions were used to calculate the probabilities of occurrence of maximum monthly air temperatures over 28–32 °C. Temperature predictions were done for the 2-, 5-, 10-, 30-, 50- and 100-year return periods. The GEV and GUM distributions are recommended to be used in the warmer months. In the coldest months, the LN distribution gave a better fit to a series of extreme air temperatures. Deforestation, combustion and extensive fires, and the related aerosol emissions contribute, alongside climate change, to the generation of extreme air temperatures in the studied biomes. [ABSTRACT FROM AUTHOR]

Cocoa is a plant with origins in northwestern South America with high relevance in the global economy. Evidence indicates that cocoa is sensitive to a dry climate, under which crop production is reduced. Projections for future climate change scenarios suggest a warmer and drier climate in the Amazon basin. In this paper, we quantify the potential effects in cocoa production due to its edaphoclimatic suitability changes to the Brazilian Amazon biome and account for regional differences in planning occupation territories. We modeled the suitability of cocoa's geographical distribution using an ensemble of 10 correlative models that were run in the "biomod2" library and projected to two future climate scenarios (RCPs 4.5 and 8.5) by 2050. Combining information on climate and soil suitability and installed infrastructure in the macro-regions of the Brazilian Amazon. We defined a zoning system to indicate how cocoa production may respond to climate change according to the current and future suitability model. Our results suggest that a reduction in precipitation and an increase in temperature may promote a reduction in the suitability of cocoa production in the Brazilian Amazon biome. In addition of the areas suitable for cocoa plantation, we found a 37.05% and 73.15% decrease in the areas suitable for intensification and expansion zones under RCP 4.5 and 8.5, respectively, compared with the current scenario. We conclude that there may be a need to expand land to cocoa production in the future, or else it will be necessary to plant a cocoa variety resistant to new climatic conditions. Besides, we recommend procedures to combat illegal deforestation to prevent the most critical climate change scenarios from occurring., Competing Interests: The authors have declared that no competing interests exist.

The traditional approach to characterize extreme rainfall events is based on using past observed data to fit a probability distribution, which is used to associate a certain probability of occurrence to a rainfall magnitude, under a stationary assumption. Observed series, however, may exhibit trends and abrupt changes, resulting from the natural hydro climatic variability and the climate change context, which are not usually considered in the stationary modelling procedure and which may affect the characterization of extreme events. In this paper, it was evaluated the presence of these temporal changes in rainfall series and their impact to estimate design quantiles, using rainfall data of 317 stations, located in São Paulo State, Brazil. The results showed that extreme rainfall events are changing in the state. Low-return period events (up to 10 years) are intensifying. Moderate- and high-return period events, on the other hand, did not present a clear spatial pattern. Trends and abrupt changes may significantly influence the estimation of design quantiles. The presence of the former in rainfall series exhibited more influence on low-return period events, showing, however, no clear relationship with high-return period design quantiles. The presence of the latter seems to influence the characterization process, affecting estimated quantiles of all evaluated return periods. Such findings highlight the need to consider the presence of trends and abrupt changes and their influence on design quantiles for a more reliable characterization. [ABSTRACT FROM AUTHOR]

Many regions around the world are facing climate changes, with substantial increase in air temperature over the past decades, which is mainly related to continental and global warming forced by the higher greenhouse gas (GHG) emissions. The objectives of this study were to use the Köppen climate classification to detect local climate change based on a historical series of 100 years and to assess if such change is related to those that are occurring in other spatial scales as a likely consequence of increasing GHG. This paper brings a content full of innovative results. The study area presented an average annual air temperature increase by 0.9 °C between 1917 and 2016, rising from 21.4 °C for the first climatological normal (1917–1946) to 22.3 °C for the last one (1987–2016). Furthermore, in the summer months, the temperature rose from 24.5 to 25.3 °C, and in the winter months, such increase was from 17.1 (1917–1946) to 18.3 °C (1987–2016). Our findings showed the subtropical conditions (Cfa in Köppen's classification) in the study area persisted from the beginning of the analysis (1917–1946) until the climatological normal of 1979–2008, with a clear tendency of tropicalization after that with a change in the climate type of Piracicaba from subtropical to tropical, which can now be classified as tropical with dry winter (Aw climate type). The local average air temperature showed concordances with the long-term air temperature anomalies from regional, continental, and global scales, indicating that all of them may be linked with increasing GHG emissions, since well-defined long-term linear relationships (r2 = 0.99) were observed between continental and global average air temperature anomalies and atmospheric CO2 concentration observed at the NOAA Lab in Mauna Loa in the last 59 years. While the local and regional forcing effects remain to be fully unraveled, our study provided a valid and strong scientific sound evidence that climate change occurred in Piracicaba, southeastern Brazil, in the last 100 years. [ABSTRACT FROM AUTHOR]

The present paper aims to compute climatological zones apt for the cultivation of pitaya based on trends in the occurrence of climate change events from the IPCC (Intergovernmental Panels on Climate Change) in Brazil. We used temperature and precipitation data from 4942 cities collected on the NASA/POWER platform (National Aeronautics and Space Administration/Prediction of Worldwide Energy Resources) from 1990 to 2020 to elaborate on the current scenario. The climate change scenarios were obtained using the CHELSA platform (Climatologies at high resolution for the earth's land surface areas) and corresponded to the periods 2041–2060 and 2061–2080 associated with four IPCC climate change scenarios. The spatialization of the data occurred according to the bioclimatic classes designed to meet the thermal and water needs of the crop. In the current scenario, class B5 has a predominance of 37.07% of the country, characterizing the Midwest, Southeast, and Northeast regions, as well as the state of Paraná, as suitable for the cultivation of pitaya. Projections of temperature increase and reduction of accumulated rainfall were found throughout Brazil, but with greater impact in the North and Northeast regions, which had the greatest reduction of areas suitable for the cultivation of pitaya with a greater predominance of classes B8 and B9. In the South and Southeast regions, class B5 makes up a large part of the areas that remained suitable for the production of this fruit until 2080. The results suggest that climate change does not benefit the cultivation of pitaya in some regions of Brazil because the dimensions of the areas suitable for economic production are restricted. [ABSTRACT FROM AUTHOR]

Climate change affects the hydrological cycle and has a significant influence on water resources, which can lead to environmental and socioeconomic damage caused by droughts. This phenomenon has become more acute in recent years. Among the indices used to assess the extent of droughts, the Reconnaissance Drought Index (RDI) is being adopted throughout the world. The RDI requires a stationarity assumption in its statistical calculations; however, most of the hydro-meteorological time series show non-stationarity. Hence, this paper seeks to assess meteorological droughts by means of RDI by adopting both stationary and non-stationary approaches. Non-stationarity was assessed by applying the Mann–Kendall test for trend detection and the Pettitt test for change point detection. The Thornthwaite method was employed to estimate the potential evapotranspiration required for RDI application. The bias in the future series were corrected employing the Linear Scaling (LS) technique for precipitation series and the Empirical Quantile Mapping (EQM) technique for the temperature series. Historical and future simulated monthly temperature and precipitation data were obtained from 34 meteorological stations located within Parana State, Brazil. The results showed that the maximum drought magnitude, duration, and intensity have increased during the 21st Century. When compared with historical patterns up to 2100, the results showed that drought magnitude is expected to increase by 105%, while drought duration is expected to increase by 59% in meteorological drought projections. [ABSTRACT FROM AUTHOR]

This article analyses the impact of COVID-19 on the rights of indigenous peoples, particularly in Brazil. It deals with the current situation of the Brazilian indigenous peoples, the impacts of the pandemic, the rights created on the adoption of protective sanitary measures for indigenous people and land rights in Brazil. Does the Brazilian government comply with international law, with constitutional rights of indigenous peoples in the current COVID-19 crisis, particularly with the Brazilian Supreme Court decision on the adoption of protective sanitary measures for indigenous people? With a focus on the 2020 Report of the Special Rapporteur on the Rights of Indigenous Peoples, this paper will identify and examine the gaps in protection of the indigenous peoples rights by reason of the impact of the COVID-19 crisis. This paper argues that the crisis is misused as an occasion for land invasions, deforestation, forest fires and the denial of basic indigenous rights. Especially in Brazil, a transformative change, an emergency support for indigenous peoples, and a still stand agreement on logging and extractive industries operating next to indigenous communities are needed. Brazilian NGO statements give guidelines as to how to manage the threats of the present pandemic on indigenous peoples of Brazil. The Inter-American Commission on Human Rights, the United Nations and the International Labour Organisation all offer further relevant suggestions as to how to address the serious impacts in the response to and the aftermath of this crisis. [ABSTRACT FROM AUTHOR]

The increasing need of sustainable technologies to produce domestic water in metropoles of developing countries faces socioenvironmental problems such as contamination, distribution network failures and water depletions due to overexploitation and climate changes. In this paper, a long-term (9 years) multiparameter evaluation of river bank filtration (RBF) was carried out in an urban and tropical environment in NE Brazil. RBF constitutes a promising way to mitigate adverse effects of unsustainable resource management, as it is adaptable to local needs and may limit non-renewable resource uses. Interannual monitoring of stream water and pumped groundwater allowed deciphering an efficient bacteriological (total disappearance of total and thermotolerant coliforms), physicochemical (general increase of COD/BOD ratio from 5 to 8 reaching 10 to more than 30, lowering of turbidity from 10–300 to 0 NTU) and drug attenuation (from 22 to 193 µg L−1 to 9 µg L−1 in the pumped groundwater for diclofenac and total disappearance of paracetamol most of the time). This suggests that RBF is relevant for local water supply: While socioenvironmental context implies great pressures over the resource, hydrological and hydrogeological conditions favor biodegradation performance, promoted by high temperatures (near 25 °C), and natural self-regulation. However, from a chemical point of view, low turbidity was associated with nitrate increase (reaching temporarily more than 40 mg L−1) in the RBF well. This indicates that the great physicochemical/biochemical filtration potential may in turn favor a great biogeochemical reactivity involving redox processes of concern for domestic purposes in urban and tropical context and that adapted pumping schedule is necessary. [ABSTRACT FROM AUTHOR]

Identifying agricultural disaster risk regions before the occurrence of climate-related disasters is critical for early mitigation planning. This paper aims to identify these regions based on data from the Food and Agriculture Organization of the United Nations (FAO), the bilateral and multilateral trade network data of the World Integrated Trade Solution(WITS) and the agent-based economic model Acclimate. By applying a uniform forcing across agricultural sectors of some breadbasket regions (US, EU and China), when single and simultaneous extreme weather events occur, such as the 2018 European heatwave, production and consumption value losses and gains are calculated at regional and global levels. Comparing the FAO data sets, WITS, and Acclimate's production value losses, the results show a strong dependence of agricultural production losses on a region's output and connectivity level in the global supply and trade network. While India, Brazil, Russia, Canada, Australia, and Iran are highly vulnerable, the imposition of export restrictions to compensate for demand shortfalls makes Sub-Saharan Africa the most vulnerable region, as it is heavily dependent on agricultural imports. In addition, simultaneous extreme weather events can exacerbate the loss of value of agricultural production relative to single extreme weather events. Agricultural practices to increase production such as smart farming, increased investment in plantation agriculture, and diversification of trading partners can help mitigate future food security risks in Sub-Saharan Africa and other agricultural import-dependent regions., Competing Interests: The authors have declared that no competing interests exist.

The Lagoa Salgada is located in the Paraíba do Sul river delta plain on the coast of Rio de Janeiro state, Brazil, and is one of the few lagoons in the world that have well-developed recent stromatolites. Lagoa Salgada is a hypersaline lagoon formed in a very complex environmental system subjected to terrestrial and oceanic influences under different sea level regimes and climate variations. In addition, sediment and stromatolites are characterized by unusually positive inorganic δ13C VPDB values. For this reason, it has been the target of several geological and paleoenvironmental studies, which, in their great majority, require a geochronological technique in order to determine the changes in the environment over time. When radiocarbon (14C) dating is used, it is necessary to consider some details as the source of 14C in the environment and perform 14C ages calibration accordingly. In the present paper, a bibliographic survey was carried out in order to review the data treatment and improve the environmental evolution discussion based on accurate calibration. Using the Marine20 curve and an undetermined ΔR, we generated growth and depositional models to establish an overview of the formation of this lagoon. [ABSTRACT FROM AUTHOR]

The following paper aims to reconstruct the evolution of this dynamic by tracing the interpretations and reinterpretations of the norm done by Brazilian state actors through the process of localization of the norm in the domestic discourse on climate change in Brazil from 2005 to 2010. The theoretical perspective is based on the literature about norms internalization that attempts to specify the conditions under which international norms find salience in particular domestic contexts. Two main interpretations coexist within the Brazilian political arena in the period within the entry into force of the Kyoto Protocol until the signature of the Paris agreement that influenced the climate politics in Brazil in that period. The first stand around the norm was a traditional interpretation of the principle defending a position of historical responsibilities that implies that Brazil did not have to take greenhouse gas reduction measures. The second position is a more progressive interpretation of the norm that argues that Brazil, as an emergent country, can and must adopt emissions reductions. The tie between both positions allows us to understand the alleged ups and downs in climate policy in the time frame studied. [ABSTRACT FROM AUTHOR]

Climate change threats agriculture, mainly in developing countries. Understanding the vulnerability of farmers is very important to counteract the negative impacts. Therefore, this paper aims to analyze the degree of vulnerability to climate change of farmers of the Rio das Contas Basin, Brazil, based on their degree of sensibility, exposure, and adaptive capacity. Variations in exposure and vulnerability indexes between regional biomes were calculated. The sensibility index was higher than 50% in all municipalities. The exposure index was over 60% in most municipalities. A value of the adaptive capacity index, sufficient to reduce vulnerability, was not observed in any municipality. The vulnerability index was higher than 66% in more than half of the municipalities. Exposure and vulnerability indexes varied with the biome. The vulnerability is the result of high exposure and sensibility combined with low adaptive capacity. This suggests the need for investment to minimize these effects and mitigation activities to counter the negative impacts of future climate variability. [ABSTRACT FROM AUTHOR]

This paper estimates the economic impacts of climate change over the Brazilian regions until the end of the century. We estimate the direct and indirect impact of the projected changes in climate on the yield of the country's main crops. The results point to a broad spatial heterogeneity of impacts across the country. Using the extreme scenarios created by the Intergovernmental Panel on Climate Change (IPCC) (RCP 2.6 and 8.5), our predictions indicate that the average annual losses due to climate change range from 0.4% to 1.8% of Brazilian gross domestic product until the end of the century. [ABSTRACT FROM AUTHOR]

Climate change is predicted to exert further stress on already exploited ecologies and healthcare systems, added to this, the coronavirus SARS-CoV-2 (COVID-19) has signified a stimulus to revolutionize existing models of sustainable development in broad, and sustainable supply chains in the healthcare sector in particular. The Kruger to Canyons biosphere region in South Africa and the Amazonas state in Brazil serve as geographic case studies for this paper. The impact of economic globalization, natural catastrophes such as droughts, economic and geopolitical stresses, deforestation, economic and healthcare access inequalities in these two biomes converge with issues of climate change, and undercut coping mechanisms that are customarily used to oversee extreme events such as pandemics. The COVID-19 pandemic has deepened many of the economic and social difficulties which South Africa and Brazil are already facing. In comparison to Brazil, South Africa’s overall response to the pandemic can be regarded as a standout. By borrowing from best practices from prior public health responses to heath emergencies in South Africa, such as the tuberculosis and the HIV/AIDS crisis, South Africa has demonstrated its comparatively successful means of dealing with COVID-19. [ABSTRACT FROM AUTHOR]

Copyright of Revista de Economia e Sociologia Rural is the property of Sociedade Brasileira de Economia e Sociologia Rural and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Cuadernos de Investigación Geográfica is the property of Universidad de la Rioja, Servicio de Publicaciones and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Geosul is the property of Geosul and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

A major challenge for humankind is to reduce global carbon dioxide (CO2) emissions to avoid the most harmful impacts of climate change. The transport sector is responsible for almost 1/4 of the world's energy-related emissions, with road transportation representing around 1/5 of the fuel consumption. Electric vehicles (EVs) may help to reduce CO2 emissions, but their diffusion is uncertain due to market barriers. This paper investigates the electric vehicle (EV), which has a smaller ecological footprint, as an alternative capable of meeting the needs of personal transport in Brazil. To carry out this evaluation, the study considers socio-techno-economic and political-environmental-innovation aspects to assess the challenges and opportunities facing the adoption of electric vehicles. The analysis was carried out based on a survey administered to a wide range of stakeholders. A SWOT analysis was performed to understand the most critical factors affecting the future of EVs in Brazil, which is a top-ten automotive manufacturer worldwide and a leader in sugar cane ethanol production. The results suggest light-duty electric vehicles (LDEV) as a first option for low-carbon passengers' mobility and that EVs expansion will require market regulation, incentive policies and adequate charging infrastructure. Both consumers and society in general will benefit most from the expansion of EVs due to low emissions and total cost of ownership (TCO). The results show where decision-makers should focus their attention. [ABSTRACT FROM AUTHOR]

Both global climate change and urbanization trends will demand adaptation measures in cities. Large agglomerations and impacts on landscape and natural environments due to city growth will require guided densification schemes in urban areas, particularly in developing countries. Human biometeorological indices such as the Universal Thermal Climate Index (UTCI) could guide this process, as they provide a clear account of expected effects on thermal sensation from a given change in outdoor settings. However, an earlier step should optimally include an adequacy test of suggested comfort and thermal stress ranges with calibration procedures based on surveys with the target population. This paper compares obtained thermal comfort ranges for three different locations in Brazil: Belo Horizonte, 20° S, Aw climate type; Curitiba, 25.5° S, Cfb subtropical climate, both locations in elevation (above 900 m a.s.l.); and Pelotas, at sea level, latitude 32° S, with a Cfa climate type. In each city, a set of outdoor comfort field campaigns has been carried out according to similar procedures, covering a wide range of climatic conditions over different seasons of the year. Obtained results indicate a variation of neutral temperatures up to 3 °C (UTCI units) as a possible latitude and local climate effect between the southern locations relative to the northernmost location. Low UTCI values were found in the two subtropical locations for the lower threshold of the thermal comfort band as compared with the original threshold. A possible explanation for that is a longer exposure to cold conditions as buildings are seldom provided with heating systems. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this investigation is to analyze information on the web and its preservation as the digital heritage of events related to climate change and the environment in Portugal and Brazil, thus contributing to web preservation in the Ibero-American context. Design/methodology/approach: A theoretical and applied investigation using mixed methods to collect and analyze qualitative and quantitative data from three sources: the Internet Archive and the public collection of Archive-It, the Portuguese web archive, and a selection from collections compiled by a research group (UFRGS) on web archiving and digital archiving in Brazil. Findings: Web archive initiatives started in 1996; however, over the years collections have narrowed from nationally relevant themes to specialized thematic niches. The theme "climate change" has had an increasing impact on scientific and mainstream discussion in the 2000s, and by 2010 the over-arching theme became focused on digital preservation of web content, as demonstrated in this study. Failure to preserve data can lead to a rapid loss of climate change information, due to the inherent ephemerality of the web. Originality/value: The paper demonstrates the relevance of preserving web content on climate change by showing what has been preserved to date and what will need to be preserved in the future. [ABSTRACT FROM AUTHOR]

• 5210 forestry Brazilian theses and 2228 forestry articles were evaluated. • Climate change on forest environments are understudied given its relevance. • Three key opportunities to improve science about climate change are presented. This article explores the extent to which research in forestry is directly related to the issue of climate change. The study conducted two surveys, one analyzing 5,210 theses from Brazilian forestry-related postgraduate programs between 2013 and 2022, and another examining 2228 articles published in ten forestry journals in 2022. We classified the extent of a focus on climate change in four classes: strong focus, relevant focus, using it as a context and not considered. Given the pervasive impacts of changing climates, we found a small representation of the topic within the theses with only 2% with a strong focus, 2% of relevant focus and 5% mentioned climate change as a contextual factor but provided no clear connections or inferences about climate change and forests. The focus on climate change was developed better in the forest journals. Almost one-third at least justified their projects based on connections to climate change, and 14% directly studied climate change and its impacts. Six percent of the papers with a direct focus on climate change also incorporated climate change effects into their experimental designs. We propose three key opportunities for improve the science about climate change related directly with forestry. Firstly, an opportunity is related with the writing of papers by itself, where articles might have substantive connections and insights connected with the core theme of the research. Secondly, taking Brazil as an example, there should have an increment in the number of graduate students working directly with the theme of climate change given its relevance. Lastly, we identified an opportunity for a more balanced science in the distinct types of forests. Tropical forest represents 45% of the forests worldwide but comprises only 14% of studies in our sample. By addressing these opportunities, we will not only benefit the forests but also contribute to a more sustainable and climate-resilient future for both forests and communities. [ABSTRACT FROM AUTHOR]