Articles de revues sur le sujet « Amazon rainforest fires »

The uncontrolled use of fire has resulted in innumerable occurrences of forest fires in the Western Amazon, causing damage to the environment and society, verifying its association with the effects of corruption, since it deals with the selfish behaviors of some involved actors, aiming the well-being of a minority. This study is a case study that focuses on forest fires and their relationship with corrupt practices and Theory U. It brings as its objective general study of the relationship of corruption to forest fires in the Western Amazon; and have as specific objectives to raise the causal relationship of corruption in face of the denial of Theory U (1), to characterize the factors that involve the questions of the fires in the Western Amazon (2), and to offer efficient subsidies to impact the fires considering the attitudinal convergence of the Amazon (3). As a result, there is a denial of Theory U in the face of the selfish conduct of individuals who cause forest fires, since they are limited to the imprisonment of satisfaction of isolated wills, without seeking to emerge a future with greater social inclusion. The subsidies pointed out in this study allow us to verify the need for effectiveness in the inspection and control actions regarding forest fires by public entities related to the environment. It is up to civil society since everyone is harmed in this process, to self-organize and demand more effective measures from environmental managers.

Brazil's public health situation is harmed in regions such as amazon rainforest in the face of natural disasters. Recently, the fires in Amazon region contributed to the growth of organic and psychosocial diseases index and to the increase of medical attendance numbers, generating high repercussions and concerns in this scenario.Keywords: Public health; wildfires; natural disasters; respiratory tract disease; mental health.

ABSTRACT Wildland fires can be responsible for negative impacts on the environment, causing damage to the fauna and flora and increasing the release of greenhouse gases. In the state of Amazonas, wildland fires represent a risk for biodiversity conservation, since more than 95% of the state is covered by Amazon rainforest, one of the largest and most biodiverse tropical forests of the world. This study aimed to analyze the spatiotemporal variation of fire occurrence from 2003 to 2016 in the state of Amazonas, based on data from the AQUA satellite processed by the Brazilian National Institute for Space Research, using the “Collection 5” detection algorithm. The correlation between fire incidence versus anthropogenic and climatic variables was also tested. A significant uptrend was observed in the number of hot spots recorded over the years. About 83% of the wildland fires occurred during the months of August, September and October. The variables that correlated significantly with the number of hot spots for each municipality were deforested area, pasture area, agricultural area, municipality area and mean annual rainfall. The municipality with the highest number of hot spots detected was Lábrea, while Careiro da Várzea presented the highest incidence per km2. The southern and eastern regions of the state were the areas most affected by fire during the analyzed period. The results from this study emphasize the need for implementation of public policies aimed to reduce deforestation and wildland fires in the state, thus ensuring the conservation of the Amazon rainforest and its biodiversity.

Fires such as those that occurred in 2019 in the Amazon are examples of the intensification of these events in recent years and contradict the claim that forest fires only reach great proportions in years of extreme drought. This is a worrying scenario, as the Amazon Rainforest plays an important role in regional and global climate regulation. This study therefore sought to identify the methodologies used to describe and predict fire events in the Brazilian Amazon. For this, a systematic literature review was carried out in the open access databases Scientific Electronic Library Online (SciELO) and Directory of Open Access Journals (DOAJ) using the descriptors “fire risk” and “Amazon”, and their variants in the Portuguese language and the logical operator “AND” in the search. From the resulting search materia we identified the use of predictive models based on projections for climate change developed by the Intergovernmental Panel on Climate Change (IPCC), which indicate a substantial increase in the probability of fires. Another technique used is the crossing of heat foci data with the forms of land use, evidencing the areas that burn the most and when, as well as the most susceptible areas. There were also studies analyzing the performance of fire risk indexes, demonstrating those that could be used after adaptations to local characteristics. These results allow an understanding of the behavior of fire in the Amazon, since they provide a broad view of how studies on fires have been conducted and what techniques have been used.

This study uses a combined research approach based on remote-sensing and numerical modeling to quantify the effects of burned areas on the surface climate in the two Brazilian biomes most affected by fires: the tropical savanna and the Amazon rainforest. Our estimates indicate that between 2007 and 2020, approximately 6% of the savanna and 2% of the rainforest were burned on average. Non-parametric regressions based on 14-year climate model simulations indicate that latent heat flux decreases on average by approximately 0.17 W m−2 in the savanna and 0.60 W m−2 in the rainforest per each 1 km2 burned, with most of the impacts registered during the onset of the wet season. Sensible and ground heat fluxes are also impacted but at less intensity. Surface air is also warmer and drier, especially over rainforest burned sites. On average, fire reduced gross primary production in the savanna and rainforest by 12% and 10%, respectively, in our experiments.

Abstract. Amazon forest dieback is seen as a potential tipping point under climate change. These concerns are partly based on an early coupled climate–carbon cycle simulation that produced unusually strong drying and warming in Amazonia. In contrast, the fifth-generation Earth system models (Phase 5 of the Coupled Model Intercomparison Project, CMIP5) produced few examples of Amazon dieback under climate change. Here we examine results from seven sixth-generation models (Phase 6 of the Coupled Model Intercomparison Project, CMIP6), which include interactive vegetation carbon and in some cases interactive forest fires. Although these models typically project increases in area-mean forest carbon across Amazonia under CO2-induced climate change, five of the seven models also produce abrupt reductions in vegetation carbon, which indicate localised dieback events. The northern South America (NSA) region, which contains most of the rainforest, is especially vulnerable in the models. These dieback events, some of which are mediated by fire, are preceded by an increase in the amplitude of the seasonal cycle in near-surface temperature, which is consistent with more extreme dry seasons. Based on the ensemble mean of the detected dieback events we estimate that 7±5 % of the NSA region will experience abrupt downward shifts in vegetation carbon for every degree of global warming past 1.5 ∘C.

Illegal selective logging and forest fires occur on a large scale in the northern Brazilian Amazon, contributing to an increase in tree mortality and a reduction in forest carbon stock. A total of 120 plots of 0.25 ha (30 ha) were installed in transitional ecosystems or ecotones (LOt) between the forested shade-loving campinarana (Ld) and dense-canopy rainforest, submontane (Ds), in the National Forest (Flona) of Anauá, southern Roraima. Measuring the diameters at breast height (DBH ≥ 10 cm) and the heights of 171 dead trees (fallen naturally, illegally exploited, and affected by forest fires), enabled the estimation of carbon content from the application of a biomass equation developed at Manaus, and the calculation of a correction factor, using the average height of the largest trees. From 2015–2017, we mapped the real extent of illegal selective logging and forest fires across the region with CLASlite and INPE/Queimadas. From measurements of 14,730 live and dead trees across 30 hectares (491 ± 15 trees·ha−1), the illegal selective logging and associated forest fires, and aggravation by severe El Niño droughts resulted in an 8.2% mortality of trees (40 ± 9 dead trees·ha−1) and a 3.5% reduction in forest carbon stock (6 ± 3 Mg·ha−1) in the short-term. The surface area or influence of forest fires of very high density were estimated in the south-central region of Roraima (8374 km²) and the eastern region of the Flona Anauá (37 km²). Illegal selective logging and forest fires in forest areas totaled 357 km² in the mosaic area, and 6 km² within Flona Anaua. Illegal selective logging and forest fires in the years of severe El Niño droughts threatened the maintenance of environmental services provided by Amazonian forests.

The Amazon rainforest has been the target of several attacks, such as the massive increase in deforestation and fire outbreaks. The Amazon biome is not only composed of forest ecosystems, but also of an important carbon stock system called Peatland, which contains ca. 1 to 8 billion tons of carbon in its plants and soil. If burned, this peculiar ecosystem is likely to release tons of greenhouse gases, which may aggravate global warming. Therefore, our objective is to alert and anticipate problems associated with deforestation and fires in Peatland that, if not contained, may difficult global warming controlling, and the achievement of goals set in the Paris Agreement (which Brazil is a signatory).

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. KEYWORDS: Divestment; Amazon Rainforest; Wildfires; Investors; Climate Change; Brazil; Politics

Burns are common practices in Brazil and cause major fires, especially in the Legal Amazon. This study evaluated the dynamics of the fire foci in the Legal Amazon in Brazil and their consequences on environmental degradation, particularly in the transformation of the forest into pasture, in livestock and agriculture areas, mining activities and urbanization. The fire foci data were obtained from the reference satellites of the BDQueimadas of the CPTEC/INPE for the period June 1998–May 2022. The data obtained were subjected to descriptive and exploratory statistical analysis, followed by a comparison with the PRODES data during 2004–2021, the DETER data (2016–2019) and the ENSO phases during the ONI index for the study area. Biophysical parameters were used in the assessment of environmental degradation. The results showed that El Niño’s years of activity and the years of extreme droughts (2005, 2010 and 2015) stand out with respect to significant increase in fire foci. Moreover, the significant numbers of fire foci indices during August, September, October and November were recorded as 23.28%, 30.91%, 15.64% and 10.34%, respectively, and these were even more intensified by the El Niño episodes. Biophysical parameters maps showed the variability of the fire foci, mainly in the south and west part of the Amazon basin referring to the Arc of Deforestation. Similarly, the states of Mato Grosso, Pará and Amazonas had the highest alerts from PRODES and DETER, and in the case of DETER, primarily mining and deforestation (94.3%) increased the environmental degradation. The use of burns for agriculture and livestock, followed by mining and wood extraction, caused the degradation of the Amazon biome.

Amazon tropical forests are being replaced by pasturelands and croplands, but they sometimes revert to regrowth forest when abandoned after a period of agricultural use. Research suggests that this secondary regrowth is limited by climate and nutrient availability and, using a coupled biosphere-atmosphere model, we investigated patterns in the regrowth of the Amazon rainforest after a full deforestation event, considering different types of nutrient stress. We found that, over a 50 year regrowth period, the reduction of precipitation caused by large-scale deforestation was not sufficient to prevent secondary forest regrowth, but this decrease in precipitation combined with nutrient limitation, due to logging and frequent fires, did indeed prevent forest regrowth in central and southern Amazonia, leading to a savannization. These results are concerning, as the northern Mato Grosso region has the highest clearing rate in Amazonia. The low resilience of the forest under nutrient stress indicates that a large scale disturbance could greatly expand the area suitable for cropland, accelerating forest disappearance.

This article examines plant performance in the work of naturalized Brazilian artist Frans Krajcberg (1921-2017). Krajcberg saw his art as a way to give voice to forest plants that are being systematically destroyed through fires and logging, to give way to agribusiness ventures. He used burnt trunks of Amazonian trees he collected after forest fires to create a series of sculptures that denounced the environmental crimes taking place in the region. I resort to biosemiotics, New Materialism and Indigenous, peasant and riverine Amazonian thought as possible theoretical frameworks to interpret Krajcberg's sculptures as a human/plant collaboration that questions species divides and even the boundaries between living and non-living matter. The import of his pieces is clear: the bodies of the dead and charred trees are given a new life in Krajcberg’s work that incorporates them and turns them into art. I argue that his artworks are a fusion between the bare physically of the dead trees that speak to us through their materiality and the artist’s craft. The trees are very clearly inscribed into the sculptures that allow them to speak from beyond their grave, as it were, and to become living symbols of the destruction of the Amazon rainforest.

Forest conservation is crucial for the maintenance of a healthy and thriving ecosystem. The field of remote sensing (RS) has been integral with the wide adoption of computer vision and sensor technologies for forest land observation. One critical area of interest is the detection of active forest fires. A forest fire, which occurs naturally or manually induced, can quickly sweep through vast amounts of land, leaving behind unfathomable damage and loss of lives. Automatic detection of active forest fires (and burning biomass) is hence an important area to pursue to avoid unwanted catastrophes. Early fire detection can also be useful for decision makers to plan mitigation strategies as well as extinguishing efforts. In this paper, we present a deep learning framework called Fire-Net, that is trained on Landsat-8 imagery for the detection of active fires and burning biomass. Specifically, we fuse the optical (Red, Green, and Blue) and thermal modalities from the images for a more effective representation. In addition, our network leverages the residual convolution and separable convolution blocks, enabling deeper features from coarse datasets to be extracted. Experimental results show an overall accuracy of 97.35%, while also being able to robustly detect small active fires. The imagery for this study is taken from Australian and North American forests regions, the Amazon rainforest, Central Africa and Chernobyl (Ukraine), where forest fires are actively reported.

The aims of this paper are to review previously published palaeovegetation and independent palaeoclimatic datasets together with new results we present from dynamic vegetation model simulations and modern pollen rain studies to: (i) determine the responses of Amazonian ecosystems to changes in temperature, precipitation and atmospheric CO 2 concentrations that occurred since the Last Glacial Maximum (LGM), ca . 21 000 years ago; and (ii) use this long–term perspective to predict the likely vegetation responses to future climate change. Amazonia remained predominantly forested at the LGM, although the combination of reduced temperatures, precipitation and atmospheric CO 2 concentrations resulted in forests structurally and floristically quite different from those of today. Cold–adapted Andean taxa mixed with rainforest taxa in central areas, while dry forest species and lianas probably became important in the more seasonal southern Amazon forests and savannahs expanded at forest–savannah ecotones. Net primary productivity (NPP) and canopy density were significantly lower than today. Evergreen rainforest distribution and NPP increased during the glacial—Holocene transition owing to ameliorating climatic and CO 2 conditions. However, reduced precipitation in the Early–Mid–Holocene ( ca . 8000–3600 years ago) caused widespread, frequent fires in seasonal southern Amazonia, causing increased abundance of drought–tolerant dry forest taxa and savannahs in ecotonal areas. Rainforests expanded once more in the Late Holocene owing to increased precipitation caused by greater austral summer insolation, although some of this forest expansion (e.g. in parts of the Bolivian Beni) is clearly caused by palaeo Indian landscape modification. The plant communities that existed during the Early–Mid–Holocene may provide insights into the kinds of vegetation response expected from similar increases in temperature and aridity predicted for the twenty–first century. We infer that ecotonal areas near the margins of the Amazon Basin are liable to be most sensitive to future environmental change and should therefore be targeted with conservation strategies that allow ‘natural’ species movements and plant community re–assortments to occur.

Recent times have witnessed wildfires causing harm to both ecological communities and urban–rural regions, underscoring the necessity to comprehend wildfire triggers and assess measures for mitigation. This research hones in on Cartagena del Chairá, diving into the interplay between meteorological conditions and land cover/use that cultivates a conducive environment for wildfires. Meteorologically, the prevalence of wildfires is concentrated during boreal winter, characterized by warm and dry air, strong winds, and negligible precipitation. Additionally, wildfires gravitate toward river-adjacent locales housing agriculture-linked shrubs, notably in the northern part of the zone, where a confluence of land attributes and meteorological factors synergize to promote fire incidents. Employing climate scenarios, we deduced that elevated temperature and reduced humidity augment wildfire susceptibility, while wind speed and precipitation discourage their propagation across most scenarios. The trajectory toward a warmer climate could instigate fire-friendly conditions in boreal summer, indicating the potential for year-round fire susceptibility. Subsequently, via machine-learning-driven sensitivity analysis, we discerned that among the scrutinized socio-economic variables, GINI, low educational attainment, and displacement by armed groups wield the most substantial influence on wildfire occurrence. Ultimately, these findings converge to shape proposed wildfire mitigation strategies that amalgamate existing practices with enhancements or supplementary approaches.

Forests are the lungs of the planet Earth. As in all countries, one of the natural treasures of RSM is the forests in our country. protection of forests is the responsibility of state owned forest enterprises and national parks that manage them. Forests today have numerous risks where they are reduced or destroyed and one of the major risks is forest fires which we as a state cannot afford. and we are exempt.Forest fires are the spontaneous and uncontrolled spread of fire in the natural environment. The size of the burned area and the severity of the fire depend on the type of vegetation affected by the fire. The dimensions of these natural disasters are often of such magnitude as are visible from space, such as the fires in Siberian rainforest and the Amazon this year. Characteristic of forest fires is the very rapid spread and sudden changes of direction due to weather conditions.The strategy for combating forest fires includes their prevention to prevent, early detect and suppress and to develop means to effectively combat this type of natural disaster.European Commission reports on forest fires in Europe, the Middle East and North Africa for 2017 say more than 1.2 million hectares of forest and land in Europe have been destroyed - more than the total area of Cyprus.The forest fires killed 127 civilians and firefighters and caused nearly 10 billion euros in economic damage.Mavrovo National Park undertakes fire prevention measures in the area covered primarily by appropriate forest endangerment plans, operational fire protection measures as well as innovative means of drone drone use in the area. as part of the ASPires Advanced Forest Fire Prevention and Early Detection Systems that control the area for early fire warning.The strategy for combating forest fires includes their prevention to prevent, early detect and suppress and to develop means to effectively combat this type of natural disaster.

In the past two decades, Amazon rainforest countries (Brazil, Bolivia, Colombia, Ecuador, Guyana, Peru and Venezuela) have experienced a substantial increase in fire frequency due to the changes in the patterns of different anthropogenic and climatic drivers. This study examines how both fire dynamics and bioclimatic factors varied based on the season (wet season and dry season) El Niño years across the different countries and ecosystems within the Amazon rainforest. Data from publicly available databases on forest fires (Global Fire Atlas) and bioclimatic, topographic and anthropogenic variables were employed in the analysis. Linear mixed-effect models discovered that year type (El Niño vs. non-El Niño), seasonality (dry vs. wet), land cover and forest strata (in terms of canopy cover and intactness) and their interactions varied across the Amazonian countries (and the different ecosystems) under consideration. A machine learning model, Multivariate Adaptive Regression Spline (MARS), was utilized to determine the relative importance of climatic, topographic, forest structure and human modification variables on fire dynamics across wet and dry seasons, both in El Niño and non-El Niño years. The findings of this study make clear that declining precipitation and increased temperatures have strong impact on fire dynamics (size, duration, expansion and speed) for El Niño years. El Niño years also saw greater fire sizes and speeds as compared to non-El Niño years. Dense and relatively undisturbed forests were found to have the lowest fire activity and increased human impact on a landscape was associated with exacerbated fire dynamics, especially in the El Niño years. Additionally, the presence of grass-dominated ecosystems such as grasslands also acted as a driver of fire in both El Niño and non-El Niño years. Hence, from a conservation perspective, increased interventions during the El Niño periods should be considered.

Canopy dynamics associated with fires in tropical forests play a critical role in the terrestrial carbon cycle and climate feedbacks. The aim of this study was to characterize forest canopy dynamics in the southern Amazon during the 2019 fire season (July–October) using passive microwave-based vegetation optical depth (VOD) and three optical-based indices. First, we found that precipitation during July–October 2019 was close to the climatic means, suggesting that there were no extreme hydrometeorological events in 2019 and that fire was the dominant factor causing forest canopy anomalies. Second, based on the active fire product (MCD14ML), the total number of active fires over each grid cell was calculated for each month. The number of active fires during the fire season in 2019 was above average, particularly in August and September. Third, we compared the anomalies of VOD and optical-based indices (the normalized difference vegetation index (NDVI), the enhanced vegetation index (EVI), and the normalized burn ratio (NBR)) against the spatiotemporal distribution of fires during July–October 2019. Spatially, the location with a concentrated distribution of significant negative VOD anomalies was matched with the grid cells with fire activities, whereas the concentrated distribution of strong negative anomalies in optical-based indices were found in both burned and unburned grid cells. When we focused on the temporal pattern over the grid cells with fire activity, the VOD and the optical-based indices behaved similarly from July to October 2019, i.e., the magnitude of negative anomalies became stronger with increased fire occurrences and reached the peak of negative anomalies in September before decreasing in October. A discrepancy was observed in the magnitude of negative anomalies of the optical-based indices and the VOD; the magnitude of optical-based indices was larger than the VOD in August–September and recovered much faster than the VOD over the grid cells with relatively low fire activity in October. The most likely reason for their different responses is that the VOD represents the dynamics of both photosynthetic (leaf) and nonphotosynthetic (branches) biomass, whereas optical-based indices are only sensitive to photosynthetic (leaf) active biomass, which recovers faster. Our results demonstrate that VOD can detect the spatiotemporal of canopy dynamics caused by fire and postfire canopy biomass recovery over high-biomass rainforest, which enables more comprehensive assessments, together with classic optical remote sensing approaches.

The Amazon rainforest spreads across nine countries and covers nearly one-third of South America, being 69% inside Brazilian borders. It represents more than half of the remaining tropical forest on Earth and covers the catchment basin of the Amazon river on which 20% of the surface fresh water on the planet flows. Such an ecosystem produces large quantities of water vapor, helping regulate rainfall regimes in most of South America, with strong economic implications: for instance, by irrigating crops and pastures, and supplying water for the main hydroelectric plants in the continent. Being the natural habitat of one-tenth of the currently known species, the Amazon also has enormous biotechnological potential. Among the major menaces to the Amazon is the extension of agricultural and cattle farming, forest fires, illegal mining and logging, all directly associated with deforestation. Preserving the Amazon is obviously essential, and it is well-known that remote sensing provides effective tools for environmental monitoring. This work presents a deforestation detection approach based on the DeepLabv3+, a fully convolutional deep learning model devised for semantic segmentation. The proposed method extends the original DeepLabv3+ model, aiming at properly dealing with a strong class imbalanced problem and improving the delineation quality of deforestation polygons. Experiments were devised to evaluate the proposed method in terms of the sensitivity to the weighted focal loss hyperparameters—through an extensive grid search—and the amount of training data, and compared its performance to previous deep learning methods proposed for deforestation detection. Landsat OLI-8 images of a specific region in the Amazon were used in such evaluation. The results indicate that the variants of the proposed method outperformed previous works in terms of the F1-score and Precision metrics. Additionally, more substantial performance gains were observed in the context of smaller volumes of training data. When the evaluated methods were trained using four image tiles, the proposed method outperformed its counterparts by approximately +10% in terms of F1-score (from 63% to 73%); when the methods were trained with only one image tile, the performance difference in terms of F1-score achieved approximately +18% (from 49% to 67%).

Abstract. Every year, a dense smoke haze covers a large portion of South America originating from fires in the Amazon Basin and central parts of Brazil during the dry biomass burning season between August and October. Over a large portion of South America, the average aerosol optical depth at 550 nm exceeds 1.0 during the fire season, while the background value during the rainy season is below 0.2. Biomass burning aerosol particles increase scattering and absorption of the incident solar radiation. The regional-scale aerosol layer reduces the amount of solar energy reaching the surface, cools the near-surface air, and increases the diffuse radiation fraction over a large disturbed area of the Amazon rainforest. These factors affect the energy and CO2 fluxes at the surface. In this work, we applied a fully integrated atmospheric model to assess the impact of biomass burning aerosols in CO2 fluxes in the Amazon region during 2010. We address the effects of the attenuation of global solar radiation and the enhancement of the diffuse solar radiation flux inside the vegetation canopy. Our results indicate that biomass burning aerosols led to increases of about 27 % in the gross primary productivity of Amazonia and 10 % in plant respiration as well as a decline in soil respiration of 3 %. Consequently, in our model Amazonia became a net carbon sink; net ecosystem exchange during September 2010 dropped from +101 to −104 TgC when the aerosol effects are considered, mainly due to the aerosol diffuse radiation effect. For the forest biome, our results point to a dominance of the diffuse radiation effect on CO2 fluxes, reaching a balance of 50–50 % between the diffuse and direct aerosol effects for high aerosol loads. For C3 grasses and savanna (cerrado), as expected, the contribution of the diffuse radiation effect is much lower, tending to zero with the increase in aerosol load. Taking all biomes together, our model shows the Amazon during the dry season, in the presence of high biomass burning aerosol loads, changing from being a source to being a sink of CO2 to the atmosphere.

There is a 50% possibility that global temperatures will have risen by more than 5 °C by the year 2100. As demands on Earth’s systems grow more unsustainable, human security is clearly at stake. This narrative review provides an overview and synthesis of findings in relation to climate change, air pollution, and human health within the Global South context, focusing on case study geographic locations in South Africa and Brazil. Two case study regions—the Kruger to Canyons Biosphere region of South Africa and the Amazon region of Brazil—were the subjects of PubMed literature searches. Technical reports, policy briefs, and grey literature were also narratively synthesized. The burning of wood for fuel, as witnessed in Agincourt, and forest fires, such as those seen in the Amazon rainforest, release air pollutants such as methane and black carbon, which are strong short-lived climate pollutants (SLCPs) which fuel climate change and adversely affect human health. SLCPs have a brief lifetime in the atmosphere, but they frequently have a far larger potential for global warming than carbon dioxide (CO2). Most air pollution in geographic case study areas, that are home to human settlements, is due to the burning of wood and other biomasses that are pollutants. These areas are seen to be important for climate and health responses, and if constructive action is taken to switch to other modes of electricity generation (such as solar power) and the prevention of deforestation, the worst of the impacts may still be mitigated in these regions. Authorities should also establish a monitoring strategy for air quality, as well as enforce air quality regulations that safeguard public health.

Abstract. The Amazon rainforest is a sensitive ecosystem experiencing the combined pressures of progressing deforestation and climate change. Its atmospheric conditions oscillate between biogenic and biomass burning (BB) dominated states. The Amazon further represents one of the few remaining continental places where the atmosphere approaches pristine conditions during occasional wet season episodes. The Amazon Tall Tower Observatory (ATTO) has been established in central Amazonia to investigate the complex interactions between the rainforest ecosystem and the atmosphere. Physical and chemical aerosol properties have been analyzed continuously since 2012. This paper provides an in-depth analysis of the aerosol's optical properties at ATTO based on data from 2012 to 2017. The following key results have been obtained. The aerosol scattering and absorption coefficients at 637 nm, σsp,637 and σap,637, show a pronounced seasonality with lowest values in the clean wet season (mean ± SD: σsp,637=7.5±9.3 M m−1; σap,637=0.68±0.91 M m−1) and highest values in the BB-polluted dry season (σsp,637=33±25 M m−1; σap,637=4.0±2.2 M m−1). The single scattering albedo at 637 nm, ω0, is lowest during the dry season (ω0=0.87±0.03) and highest during the wet season (ω0=0.93±0.04). The retrieved BC mass absorption cross sections, αabs, are substantially higher than values widely used in the literature (i.e., 6.6 m2 g−1 at 637 nm wavelength), likely related to thick organic or inorganic coatings on the BC cores. Wet season values of αabs=11.4±1.2 m2 g−1 (637 nm) and dry season values of αabs=12.3±1.3 m2 g−1 (637 nm) were obtained. The BB aerosol during the dry season is a mixture of rather fresh smoke from local fires, somewhat aged smoke from regional fires, and strongly aged smoke from African fires. The African influence appears to be substantial, with its maximum from August to October. The interplay of African vs. South American BB emissions determines the aerosol optical properties (e.g., the fractions of black vs. brown carbon, BC vs. BrC). By analyzing the diel cycles, it was found that particles from elevated aerosol-rich layers are mixed down to the canopy level in the early morning and particle number concentrations decrease towards the end of the day. Brown carbon absorption at 370 nm, σap,BrC,370, was found to decrease earlier in the day, likely due to photo-oxidative processes. BC-to-CO enhancement ratios, ERBC, reflect the variability of burnt fuels, combustion phases, and atmospheric removal processes. A wide range of ERBC between 4 and 15 ng m−3 ppb−1 was observed with higher values during the dry season, corresponding to the lowest ω0 levels (0.86–0.93). The influence of the 2009/2010 and 2015/2016 El Niño periods and the associated increased fire activity on aerosol optical properties was analyzed by means of 9-year σsp and σap time series (combination of ATTO and ZF2 data). Significant El Niño-related enhancements were observed: in the dry season, σsp,637 increased from 24±18 to 48±33 M m−1 and σap, 637 from 3.8±2.8 to 5.3±2.5 M m−1. The absorption Ångström exponent, åabs, representing the aerosol absorption wavelength dependence, was mostly <1.0 with episodic increases upon smoke advection. A parameterization of åabs as a function of the BC-to-OA mass ratio for Amazonian aerosol ambient measurements is presented. The brown carbon (BrC) contribution to σap at 370 nm was obtained by calculating the theoretical BC åabs, resulting in BrC contributions of 17 %–29 % (25th and 75th percentiles) to σap 370 for the entire measurement period. The BrC contribution increased to 27 %–47 % during fire events under El Niño-related drought conditions from September to November 2015. The results presented here may serve as a basis to understand Amazonian atmospheric aerosols in terms of their interactions with solar radiation and the physical and chemical-aging processes that they undergo during transport. Additionally, the analyzed aerosol properties during the last two El Niño periods in 2009/2010 and 2015/2016 offer insights that could help to assess the climate change-related potential for forest-dieback feedbacks under warmer and drier conditions.

Abstract. Fires associated with land use and land cover changes release large amounts of aerosols and trace gases into the atmosphere. Although several inventories of biomass burning emissions cover Brazil, there are still considerable uncertainties and differences among them. While most fire emission inventories utilize the parameters of burned area, vegetation fuel load, emission factors, and other parameters to estimate the biomass burned and its associated emissions, several more recent inventories apply an alternative method based on fire radiative power (FRP) observations to estimate the amount of biomass burned and the corresponding emissions of trace gases and aerosols. The Brazilian Biomass Burning Emission Model (3BEM) and the Fire Inventory from NCAR (FINN) are examples of the first, while the Brazilian Biomass Burning Emission Model with FRP assimilation (3BEM_FRP) and the Global Fire Assimilation System (GFAS) are examples of the latter. These four biomass burning emission inventories were used during the South American Biomass Burning Analysis (SAMBBA) field campaign. This paper analyzes and inter-compared them, focusing on eight regions in Brazil and the time period of 1 September–31 October 2012. Aerosol optical thickness (AOT550 nm) derived from measurements made by the Moderate Resolution Imaging Spectroradiometer (MODIS) operating on board the Terra and Aqua satellites is also applied to assess the inventories' consistency. The daily area-averaged pyrogenic carbon monoxide (CO) emission estimates exhibit significant linear correlations (r, p > 0.05 level, Student t test) between 3BEM and FINN and between 3BEM_ FRP and GFAS, with values of 0.86 and 0.85, respectively. These results indicate that emission estimates in this region derived via similar methods tend to agree with one other. However, they differ more from the estimates derived via the alternative approach. The evaluation of MODIS AOT550 nm indicates that model simulation driven by 3BEM and FINN typically underestimate the smoke particle loading in the eastern region of Amazon forest, while 3BEM_FRP estimations to the area tend to overestimate fire emissions. The daily regional CO emission fluxes from 3BEM and FINN have linear correlation coefficients of 0.75–0.92, with typically 20–30 % higher emission fluxes in FINN. The daily regional CO emission fluxes from 3BEM_FRP and GFAS show linear correlation coefficients between 0.82 and 0.90, with a particularly strong correlation near the arc of deforestation in the Amazon rainforest. In this region, GFAS has a tendency to present higher CO emissions than 3BEM_FRP, while 3BEM_FRP yields more emissions in the area of soybean expansion east of the Amazon forest. Atmospheric aerosol optical thickness is simulated by using the emission inventories with two operational atmospheric chemistry transport models: the IFS from Monitoring Atmospheric Composition and Climate (MACC) and the Coupled Aerosol and Tracer Transport model to the Brazilian developments on the Regional Atmospheric Modelling System (CCATT-BRAMS). Evaluation against MODIS observations shows a good representation of the general patterns of the AOT550 nm time series. However, the aerosol emissions from fires with particularly high biomass consumption still lead to an underestimation of the atmospheric aerosol load in both models.

Abstract. The 2015–2016 strong El Niño event has had a dramatic impact on the amount of Indonesian biomass burning, with the El Niño-driven drought further desiccating the already-drier-than-normal landscapes that are the result of decades of peatland draining, widespread deforestation, anthropogenically driven forest degradation and previous large fire events. It is expected that the 2015–2016 Indonesian fires will have emitted globally significant quantities of greenhouse gases (GHGs) to the atmosphere, as did previous El Niño-driven fires in the region. The form which the carbon released from the combustion of the vegetation and peat soils takes has a strong bearing on its atmospheric chemistry and climatological impacts. Typically, burning in tropical forests and especially in peatlands is expected to involve a much higher proportion of smouldering combustion than the more flaming-characterised fires that occur in fine-fuel-dominated environments such as grasslands, consequently producing significantly more CH4 (and CO) per unit of fuel burned. However, currently there have been no aircraft campaigns sampling Indonesian fire plumes, and very few ground-based field campaigns (none during El Niño), so our understanding of the large-scale chemical composition of these extremely significant fire plumes is surprisingly poor compared to, for example, those of southern Africa or the Amazon.Here, for the first time, we use satellite observations of CH4 and CO2 from the Greenhouse gases Observing SATellite (GOSAT) made in large-scale plumes from the 2015 El Niño-driven Indonesian fires to probe aspects of their chemical composition. We demonstrate significant modifications in the concentration of these species in the regional atmosphere around Indonesia, due to the fire emissions.Using CO and fire radiative power (FRP) data from the Copernicus Atmosphere Service, we identify fire-affected GOSAT soundings and show that peaks in fire activity are followed by subsequent large increases in regional greenhouse gas concentrations. CH4 is particularly enhanced, due to the dominance of smouldering combustion in peatland fires, with CH4 total column values typically exceeding 35 ppb above those of background “clean air” soundings. By examining the CH4 and CO2 excess concentrations in the fire-affected GOSAT observations, we determine the CH4 to CO2 (CH4 ∕ CO2) fire emission ratio for the entire 2-month period of the most extreme burning (September–October 2015), and also for individual shorter periods where the fire activity temporarily peaks. We demonstrate that the overall CH4 to CO2 emission ratio (ER) for fires occurring in Indonesia over this time is 6.2 ppb ppm−1. This is higher than that found over both the Amazon (5.1 ppb ppm−1) and southern Africa (4.4 ppb ppm−1), consistent with the Indonesian fires being characterised by an increased amount of smouldering combustion due to the large amount of organic soil (peat) burning involved. We find the range of our satellite-derived Indonesian ERs (6.18–13.6 ppb ppm−1) to be relatively closely matched to that of a series of close-to-source, ground-based sampling measurements made on Kalimantan at the height of the fire event (7.53–19.67 ppb ppm−1), although typically the satellite-derived quantities are slightly lower on average. This seems likely because our field sampling mostly intersected smaller-scale peat-burning plumes, whereas the large-scale plumes intersected by the GOSAT Thermal And Near infrared Sensor for carbon Observation – Fourier Transform Spectrometer (TANSO-FTS) footprints would very likely come from burning that was occurring in a mixture of fuels that included peat, tropical forest and already-cleared areas of forest characterised by more fire-prone vegetation types than the natural rainforest biome (e.g. post-fire areas of ferns and scrubland, along with agricultural vegetation).The ability to determine large-scale ERs from satellite data allows the combustion behaviour of very large regions of burning to be characterised and understood in a way not possible with ground-based studies, and which can be logistically difficult and very costly to consider using aircraft observations. We therefore believe the method demonstrated here provides a further important tool for characterising biomass burning emissions, and that the GHG ERs derived for the first time for these large-scale Indonesian fire plumes during an El Niño event point to more routinely assessing spatiotemporal variations in biomass burning ERs using future satellite missions. These will have more complete spatial sampling than GOSAT and will enable the contributions of these fires to the regional atmospheric chemistry and climate to be better understood.

During 2019 and 2020, Amazon and Pantanal wildfires were news all over the world, followed by shocking images of burnt landscapes and animals. Fires within rainforests and wetlands are seldom related to natural causes. Instead, these are human-driven events, often caused by illegal actions associated with deforestation and land conversion to sustain intensive agriculture and farming, among other impacts. The loss of native vegetation, not only causes habitat loss, fragmentation and degradation, but also increases the risk of natural fires creating a vicious circle. Among the animals mostly threatened by fire are the xenarthrans. Here, we bring attention to this group of mammals, which have several biological adaptations that make them particularly vulnerable to fire events. We present sloths, armadillos and anteaters as valuable componentsof biodiversity, being relicts of a vast diversity of South American endemics, and comprising many endangered, unique and poorly known species. Last, we conclude that 2019/2020 fires in the Amazon forest and Pantanal wetland, added to a multitude of other threats, are seriously menacing regional diversity components of these emblematic mammals.

In this work it was made the redescription of male of Polichnodes americana including new traits as internal genitalia and morphology of stridulatory files. Also it was recorded for the first time the distribution of this species to Brazil, in Amazonas, and notes on habitat.

Climate change has a drastic impact on the structure and behavior of the amazon. Short-term effects of climate change are gradually creating more long-term effects that can be witnessed globally. Due to increased temperature, decreased precipitation and increased greenhouse gases, the amazon faces hazardous events such as droughts, forest fires, floods and vegetation differences. All of these events contribute to larger scale impacts on the amazon such as a major loss of biodiversity, and ultimately Amazon dieback. Forest feedback loops present the issue of how the Amazon is not only being affected by climate change but also how it is accelerating climate change. The environmental issues also negatively impact those living in the Amazon due to increased disease, famine, social unrest and economic downturn. This report outlines both the short and long-term impacts climate change has on the Amazon region as well as the social and economic impacts experienced by those living within the Amazon.

With the recent increase in deforestation, forest fires, and regional temperatures, the concerns around the rapid and complete collapse of the Amazon rainforest ecosystem have heightened. The thresholds of deforestation and the temperature increase required for such a catastrophic event are still uncertain. However, our analysis presented here shows that signatures of changing Amazon are already apparent in historical climate data sets. Here, we extend the methods of climate network analysis and apply them to study the temporal evolution of the connectivity between the Amazon rainforest and the global climate system. We observe that the Amazon rainforest is losing short-range connectivity and gaining more long-range connections, indicating shifts in regional-scale processes. Using embeddings inspired by manifold learning, we show that the Amazon connectivity patterns have undergone a fundamental shift in the 21st century. By investigating edge-based network metrics on similar regions to the Amazon, we see the changing properties of the Amazon are noticeable in comparison. Furthermore, we simulate diffusion and random walks on these networks and observe a faster spread of perturbations from the Amazon in recent decades. Our methodology innovations can act as a template for examining the spatiotemporal patterns of regional climate change and its impact on global climate using the toolbox of climate network analysis.

The Amazon rainforest is threatened by land-use change and increasing drought and fire frequency. Studies suggest an abrupt dieback of large parts of the rainforest after partial forest loss, but the critical threshold, underlying mechanisms, and possible impacts of forest degradation on the monsoon circulation remain uncertain. Here, we use a nonlinear dynamical model of the moisture transport and recycling across the Amazon to identify several precursor signals for a critical transition in the coupled atmosphere-vegetation dynamics. Guided by our simulations, we reveal both statistical and physical precursor signals of an approaching critical transition in reanalysis and observational data. In accordance with our model results, we attribute these characteristic precursor signals to the nearing of a critical transition of the coupled Amazon atmosphere-vegetation system induced by forest loss due to deforestation, droughts, and fires. The transition would lead to substantially drier conditions, under which the rainforest could likely not be maintained.

Remote sensing is widely used in the prediction of forest cover. Forest plays an important role in the balance of the ecosystem. It helps to maintain the balance between climate. We depend a lot on forests for wood, oxygen, and also for the control of soil erosion. Hence it is our duty to maintain the forest cover on earth. Remote sensing images provide us with lots of information regarding the different landforms and materials. It is also used to predict natural disasters like forest fires, floods, etc. The normalized difference vegetation index is a simple graphical indicator that is used to analyze remote sensing measurements,(eg. space platform) predicting whether the target is live green vegetation or not. However, we have found out that it cannot be used for accurate prediction of forest land cover. With the help of time series data on the Amazon forest, it has been observed that the NDVI index fails to determine some of the important changes in the landform. To rectify this problem, the deep learning model was used to give an accuracy of 100 percent. The deep learning model gives similar results as observed results, hence making it the best-preferred method for predicting forest cover. With the help of multispectral analysis of the data, the deep learning model gives the best results for the red band, and near-infrared bands.

The Amazon rainforest has been suffering from deforestation and fire every year. In 2019, the Brazilian and international press reported that the fires started to grow again, after years of falling. The essay addresses the broader context of these fires since the 1970s, the environmental, agrarian and social aspects involved, the importance of preserving the Amazon, as well as the issue of national sovereignty that permeates the discussion about the forest that holds the greatest biodiversity of the planet. IntroduçãoLa selva amazónica ha estado sufriendo deforestación e incendios todos los años. En 2019, la prensa brasileña e internacional informaron que los incendios comenzaron a crecer nuevamente, después de años de caída. El ensayo aborda el contexto más amplio de estos incendios desde la década de 1970, los aspectos ambientales, agrarios y sociales involucrados, la importância de preservar Amazonas, así como el tema de la soberanía nacional que impregnala discusión sobre la selva que posee la mayor biodiversidad del planeta.

Abstract Three severe droughts impacted the Amazon in 2005, 2010, and 2015, leading to widespread above-average land surface temperature (LST) (i.e., positive thermal anomalies) over the southern Amazon in the dry season (Aug–Sep) of these years. Below-average dry-season incoming solar radiation (SW↓) and terrestrial water storage (TWSA) were simultaneously observed in 2005 and 2010, whereas the opposite was observed in 2015. We found that anomalies in precipitation (P), SW↓, and TWSA combined can well explain dry-season thermal anomalies during these droughts (average R2 ~0.51). We investigated the causes for opposing anomalies in dry-season SW↓ and TWSA, and found different hydro-meteorological conditions preceding the drought-year dry seasons. In 2005 and 2010, P was considerably below average during the wet-to-dry transition season (May–Jul), causing below-average TWSA in dry season that was favourable for fires. Increased atmospheric aerosols resulting from fires reduced solar radiation reaching the ground. In 2015, although below-average dry-season P was observed, it was above the average during the wet-to-dry transition season, leading to reduced fires and aerosols, and increased dry-season SW↓. To further examine the impact of opposite hydro-meteorological processes on the drought severity, we compared dry-season LST during droughts with the maximum LST during non-drought years (i.e., LSTmax) for all grid cells, and a similar analysis was conducted for TWSA with the minimum TWSA (i.e., TWSAmin). Accordingly, the regions that suffered from concurrent thermal and water stress (i.e., LST > LSTmax and TWSA < TWSAmin) were identified. These regions are mainly observed over the southeast in 2005 and southern Amazon in 2010. In 2015, large-scale dry-season thermal stress was found over central and southeast Amazon with little water stress. This study underlines the complex interactions of different hydrological components and the importance of understanding the evolution of droughts to better predict their possible impacts on the Amazon rainforest.

Fires affect the Amazon rainforest and cause various socio-environmental problems. Analyses of forest fire dynamics supporting actions to combat and prevent forest fires. However, many studies have reported discrepancies in the quantification of fire, especially in the tropics. We evaluated four operational products for estimating burned areas (MAPBIOMAS, MCD64A1, GABAM, and GWIS) in a part of the southwestern Brazilian Amazon. We used the year 2019 as a reference to assess the relative performance of each product through stratification by forest and non-forest areas. Statistical (Kolmogorov–Smirnov test) and geospatial analyses were performed using fuzzy similarity analysis and mapping of burned areas for forest and non-forest classes. The four products showed a divergence of up to 90.6% in the total area burned. MAPBIOMAS was the product with the largest area burned (3379 km²), and MCD64A1 detected the smallest area (325 km²). MAPBIOMAS and GABAM generally overestimates burn scars in forest areas compared to MCD64A1 and GWIS. Factors that influence the mapping of burned areas include cloud shadow, the spatial resolution of sensors, and external noises (drought and decomposition of bamboo forests). We highlight the importance of field validation when mapping imagery to differentiate the truly burned areas from targets with similar spectral behavior.

Abstract The Amazon rainforest is considered one of the Earth's tipping elements and may lose stability under ongoing climate change. Recently a decrease in tropical rainforest resilience has been identified globally from remotely sensed vegetation data. However, the underlying theory assumes a Gaussian distribution of forest disturbances, which is different from most observed forest stressors such as fires, deforestation, or windthrow. Those stressors often occur in power-law-like distributions and can be approximated by α-stable Lévy noise. Here, we show that classical critical slowing down indicators to measure changes in forest resilience are robust under such power-law disturbances. To assess the robustness of critical slowing down indicators, we simulate pulse-like perturbations in an adapted and conceptual model of a tropical rainforest. We find few missed early warnings and few false alarms are achievable simultaneously if the following steps are carried out carefully: First, the model must be known to resolve the timescales of the perturbation. Second, perturbations need to be filtered according to their absolute temporal autocorrelation. Third, critical slowing down has to be assessed using the non-parametric Kendall-τ slope. These prerequisites allow for an increase in the sensitivity of early warning signals. Hence, our findings imply improved reliability of the interpretation of empirically estimated rainforest resilience through critical slowing down indicators.

As an ecotone, the region between the Amazon Rainforest and Tropical Savanna (Cerrado) biomes is, by definition, more susceptible to climate change. Therefore, understanding palaeoenvironmental dynamics is essential to address the future responses of such transition areas to climatic fluctuations. In this context, we present a new sediment record for the Late-Holocene retrieved from Barro-Preto, currently an oxbow lake located in an ecotone at the southern Brazilian Amazon border. Our multi-proxy data include carbon and nitrogen isotopes, as well as bulk TOC, chlorophyll derivatives, grain-size and microcharcoal analyses, all anchored on a radiocarbon-dated chronology. The sedimentary process recorded at the Barro-Preto Lake responded to both local and regional climate dynamics. It was influenced by river excursions associated to local responses to precipitation changes by the activation of the palaeochannel connecting the main-stem river and the Barro-Preto lake. This activation was evidenced by the presence of different colour lithology laminations accompanied by coarser sediments and also by climate conditions known to influence the Amazon region. Depositional processes linked to lake dynamics and different oxbow lake cycle stages were also important to explain the changes verified in the Barro-Preto record, endorsing the use of this lake formation for palaeoclimatic reconstructions. The record indicated a rising humidity trend, reflected by a progressive increase in lacustrine productivity, in accordance to other studies carried out in the Amazon region concerning the Late-Holocene, associated with a more southward displacement of the Intertropical Convergence Zone. Despite this rising humidity trend, dry episodic events during the Late-Holocene were evidenced by charcoal data, also coherent with regional Amazon studies, albeit exhibiting increased intensity, suggesting that the transitional nature of the environment might have influenced susceptibility to fires.

The coronavirus outbreak has come in the aftermath of other concerning and disastrous events, from the rainforest fires in the Amazon to the wildfires of Australia. So far, the political response worldwide has been limited to identifying the villain and the hero who will first invent the life-saving vaccine. However, in a time of crisis, it is becoming obvious that the problem is not external but rather embedded and systemic. We argue that a political economy based on compound economic growth is unsustainable. While the pandemic is no proof of the unsustainability of economic growth as such, the speed and scope of this disease are driven by the interconnectivities of accelerated globalization. Through three ongoing cases, which we have been studying following a participatory action research approach, we discuss an alternative trajectory of a post-capitalist future based on the convergence of localized manufacturing with the digitally shared knowledge commons.

Can social media revert the top-down dynamics of securitization? Limited by the notion that ‘security is only articulated in an institutional voice by the elites’, the role of non-elite actors has remained understudied. Only recently has it been proposed that lay actors can become influential security agents through their online activity. However, social media’s capacity to revert the top-down dynamics of securitization remains contended. To explore this puzzle and seeking to update the theory of securitization to the modern context of political communication, this study employs a semi-supervised machine learning approach to analyse a novel dataset of over 10 million Twitter messages by five elite and non-elite actor groups discussing the Amazon rainforest fires in 2019. Finally, the study uses vector autoregression (VAR) models to explore who leads and who echoes the securitization process. The results show that both elite and lay actors behave as security agents and demonstrate the methodological contribution offered by the text-as-data approach developed in this analysis.

How do firms address complex collective action problems effectively? Institutional and stakeholder research suggests that firms may avoid the tragedy of the commons by aligning the interests of critical proximate stakeholders in ways that governments cannot accomplish. This phenomenological paper investigates this possibility by analyzing Amazon rainforest preservation by Natura, a Brazilian cosmetics company. The results indicate that Natura internalized environmental externalities by linking ecologically conscious consumers with rural Amazonian communities. A differences-in-differences analysis compares forest preservation and fire activity in the municipalities that Natura entered with those in which it did not enter. Natura’s impact is identified through an instrumental variable analysis using missing satellite images, which Natura relied upon to decide which municipalities to enter. Quantitative results tie Natura’s entry into municipalities with forest preservation. Analysis of three mechanisms associates Natura’s involvement with stakeholder decisions to cultivate diverse forest-generated crops instead of clearing the land for conventional agriculture. This study contributes to the management literature by suggesting how firms can address important global challenges, such as rainforest preservation, by investing in stakeholder capability development and by creating institutional arrangements in line with those envisioned elsewhere. This paper was accepted by George Serafeim, special section of management science: business and climate change. Funding: This work was supported by the Clarkson Centre for Business Ethics [CAD 7,500.00] and Canada’s Social Sciences and Humanities Research Council. Supplemental Material: The data files and online appendices are available at https://doi.org/10.1287/mnsc.2023.4884 .

The Black Summer of 2019/2020 saw the forests of southeast Australia go up in flames. The fire season started early, in September 2019, and by March 2020 fires had burned over 12.6 million hectares (Werner and Lyons). The scale and severity of the fires was quickly confirmed by scientists to be “unprecedented globally” (Boer et al.) and attributable to climate change (Nolan et al.).The fires were also a media spectacle, generating months of apocalyptic front-page images and harrowing broadcast footage. Media coverage was particularly preoccupied by the cause of the fires. Media framing of disasters often seeks to attribute blame (Anderson et al.; Ewart and McLean) and, over the course of the fire period, blame for the fires was attributed to climate change in much media coverage. However, as the disaster unfolded, denialist discourses in some media outlets sought to veil this revelation by providing alternative explanations for the fires. Misinformation originating from social media also contributed to this obscuration.In this article, we investigate the extent to which media coverage of the 2019/2020 bushfires functioned both to precipitate a climate change epiphany and also to support refutation of the connection between catastrophic fires and the climate crisis.Environmental Communication and RevelationIn its biblical sense, revelation is both an ending and an opening: it is the apocalyptic end-time and also the “revealing” of this time through stories and images. Environmental communication has always been revelatory, in these dual senses of the word – it is a mode of communication that is tightly bound to crisis; that has long grappled with obfuscation and misinformation; and that disrupts power structures and notions of the status quo as it seeks to reveal what is hidden. Climate change in particular is associated in the popular imagination with apocalypse, and is also a reality that is constantly being “revealed”. Indeed, the narrative of climate change has been “animated by the revelations of science” (McNeish 1045) and presented to the public through “key moments of disclosure and revelation”, or “signal moments”, such as scientist James Hansen’s 1988 US Senate testimony on global warming (Hamblyn 224).Journalism is “at the frontline of environmental communication” (Parham 96) and environmental news, too, is often revelatory in nature – it exposes the problems inherent in the human relationship with the natural world, and it reveals the scientific evidence behind contentious issues such as climate change. Like other environmental communicators, environmental journalists seek to “break through the perceptual paralysis” (Nisbet 44) surrounding climate change, with the dual aim of better informing the public and instigating policy change. Yet leading environmental commentators continually call for “better media coverage” of the planetary crisis (Suzuki), as climate change is repeatedly bumped off the news agenda by stories and events deemed more newsworthy.News coverage of climate-related disasters is often revelatory both in tone and in cultural function. The disasters themselves and the news narratives which communicate them become processes that make visible what is hidden. Because environmental news is “event driven” (Hansen 95), disasters receive far more news coverage than ongoing problems and trends such as climate change itself, or more quietly devastating issues such as species extinction or climate migration. Disasters are also highly visual in nature. Trumbo (269) describes climate change as an issue that is urgent, global in scale, and yet “practically invisible”; in this sense, climate-related disasters become a means of visualising and realising what is otherwise a complex, difficult, abstract, and un-seeable concept.Unsurprisingly, natural disasters are often presented to the public through a film of apocalyptic rhetoric and imagery. Yet natural disasters can be also “revelatory” moments: instances of awakening in which suppressed truths come spectacularly and devastatingly to the surface. Matthewman (9–10) argues that “disasters afford us insights into social reality that ordinarily pass unnoticed. As such, they can be read as modes of disclosure, forms of communication”. Disasters, he continues, can reveal both “our new normal” and “our general existential condition”, bringing “the underbelly of progress into sharp relief”. Similarly, Lukes (1) states that disasters “lift veils”, revealing “what is hidden from view in normal times”. Yet for Lukes, “the revelation tells us nothing new, nothing that we did not already know”, and is instead a forced confronting of that which is known yet difficult to engage with. Lukes’ concern is the “revealing” of poverty and inequality in New Orleans following the impact of Hurricane Katrina, yet climate-related disasters can also make visible what McNeish terms “the dark side effects of industrial civilisation” (1047). The Australian bushfires of 2019/2020 can be read in these terms, primarily because they unveiled the connection between climate change and extreme events. Scorching millions of hectares, with a devastating impact on human and non-human communities, the fires revealed climate change as a physical reality, and—for Australians—as a local issue as well as a global one. As media coverage of the fires unfolded and smoke settled on half the country, the impact of climate change on individual lives, communities, landscapes, native animal and plant species, and well-established cultural practices (such as the summer camping holiday) could be fully and dramatically realised. Even for those Australians not immediately impacted, the effects were lived and felt: in our lungs, and on our skin, a physical revelation that the impacts of climate change are not limited to geographically distant people or as-yet-unborn future generations. For many of us, the summer of fire was a realisation that climate change can no longer be held at arm’s length.“Revelation” also involves a temporal collapse whereby the future is dragged into the present. A revelatory streak of this nature has always existed at the heart of environmental communication and can be traced back at least as far as the environmentalist Rachel Carson, whose 1962 book Silent Spring revealed a bleak, apocalyptic future devoid of wildlife and birdsong. In other words, environmental communication can inspire action for change by exposing the ways in which the comforts and securities of the present are built upon a refusal to engage with the future. This temporal rupture where the future meets the present is particularly characteristic of climate change narratives. It is not surprising, then, that media coverage of the 2019/2020 bushfires addressed not just the immediate loss and devastation but also dread of the future, and the understanding that summer will increasingly hold such threats. Bushfires, Climate Change and the MediaThe link between bushfire risk and climate change generated a flurry of coverage in the Australian media well before the fires started in the spring of 2019. In April that year, a coalition of 23 former fire and emergency services leaders warned that Australia was “unprepared for an escalating climate threat” (Cox). They requested a meeting with the new government, to be elected in May, and better funding for firefighting to face the coming bushfire season. When that meeting was granted, at the end of Australia’s hottest and driest year on record (Doyle) in November 2019, bushfires had already been burning for two months. As the fires burned, the emergency leaders expressed frustration that their warnings had been ignored, claiming they had been “gagged” because “you are not allowed to talk about climate change”. They cited climate change as the key reason why the fire season was lengthening and fires were harder to fight. "If it's not time now to speak about climate and what's driving these events”, they asked, “– when?" (McCubbing).The mediatised uncovering of a bushfire/climate change connection was not strictly a revelation. Recent fires in California, Russia, the Amazon, Greece, and Sweden have all been reported in the media as having been exacerbated by climate change. Australia, however, has long regarded itself as a “fire continent”: a place adapted to fire, whose landscapes invite fire and can recover from it. Bushfires had therefore been considered part of the Australian “normal”. But in the Australian spring of 2019, with fires having started earlier than ever and charring rainforests that did not usually burn, the fire chiefs’ warning of a climate change-induced catastrophic bushfire season seemed prescient. As the fires spread and merged, taking homes, lives, landscapes, and driving people towards the water, revelatory images emerged in the media. Pictures of fire refugees fleeing under dystopian crimson skies, masked against the smoke, were accompanied by headlines like “Apocalypse Now” (Fife-Yeomans) and “Escaping Hell” (The Independent). Reports used words like “terror”, “nightmare” (Smee), “mayhem”, and “Armageddon” (Davidson).In the Australian media, the fire/climate change connection quickly became politicised. The Deputy Prime Minister Michael McCormack interviewed by the ABC, responding to a comment by Greens leader Adam Bandt, said connecting bushfire and climate while the fires raged was “disgraceful” and “disgusting”. People needed help, he said, not “the ravings of some pure enlightened and woke capital city greenies” (Goloubeva and Haydar). Gladys Berejiklian the NSW Premier also described it as “inappropriate” (Baker) and “disappointing” (Fox and Higgins) to talk about climate change at this time. However Carol Sparks, Mayor of bushfire-ravaged Glen Innes in rural NSW, contradicted this stance, telling the ABC (Australian Broadcasting Corporation) “Michael McCormack needs to read the science”. Climate change, she said, was “not a political thing” but “scientific fact” (Goloubeva and Haydar).As the fires merged and intensified, so did the media firestorm. Key Australian media became a sparring ground for issue definition, with media predictably split down ideological lines. Public broadcasters the ABC and SBS (Special Broadcasting Service), along with The Age, The Sydney Morning Herald and The Guardian Australia, predominantly framed the catastrophe as wrought by climate change. The Guardian, in an in-depth investigation of climate science and bushfire risk, stated that “despite the political smokescreen” the connection between the fires and global warming was “unequivocal” (Redfearn). The ABC characterised the fires as “a glimpse of the horrors of climate change’s crescendoing impact” (Rose). News outlets owned by Rupert Murdoch’s News Corp Australia, however, actively sought to play down the fires’ seriousness. On 2 January, as front pages of newspapers across the world revealed horrifying fiery images, Murdoch’s Australian ran an upbeat shot of New Year’s Day picnic races as its lead, relegating discussion of the fires to page 4 (Meade). More than simply obscuring the fires’ significance, News Corp media actively sought to convince readers that the fires were not out of the ordinary. For example, as the fires’ magnitude was becoming clear on the last day of 2019, The Australian ran a piece comparing the fires with previous conflagrations, claiming such conditions were “not unprecedented” and the fires were “nothing new” (Johnstone). News Corp’s Sky News also used this frame: “climate alarmists”, “catastrophise”, and “don’t want to look at history”, it stated in a segment comparing the event to past major bushfires (Kenny).As the fires continued into January and February 2020, the refutation of the climate change frame solidified around several themes. Conservative media continued to insist the fires were “normal” for Australia and attributed their severity to a lack of hazard reduction burning, which they blamed on “Greens policies” (Brown and Caisley). They also promoted the argument, espoused by Energy Minister Angus Taylor, that with only “1.3% of global emissions” Australia “could not have meaningful impact” on global warming through emissions reductions, and that top-down climate mitigation pressure from the UN was “doomed to fail” (Lloyd). Foreign media saw the fires in quite different terms. From the outside looking in, the Australian fires were clearly revealed as fuelled by global heating and exacerbated by the Australian government’s climate denialism. Australia was framed as a “notorious climate offender” (Shield) that was—as The New York Times put it—“committing climate suicide” (Flanagan) with its lack of coherent climate policy and its predilection for mining coal. Ouest-France ran a headline reading “High on carbon, rich Australia denies global warming” in which it called Scott Morrison’s position on climate change “incomprehensible” (Guibert). The LA Times called the Australian fires “a climate change warning to its leaders—and ours”, noting how “fossil fuel friendly Morrison” had “gleefully wielded a fist-sized chunk of coal on the floor of parliament in 2017” (Karlik). In the UK, the Independent online ran a front page spread of the fires’ vast smoke plume, with the headline “This is what a climate crisis looks like” (Independent Online), while Australian MP Craig Kelly was called “disgraceful” by an interviewer on Good Morning Britain for denying the fires’ link to climate change (Good Morning Britain).Both in Australia and internationally, deliberate misinformation spread by social media additionally shaped media discourse on the fires. The false revelation that the fires had predominantly been started by arson spread on Twitter under the hashtag #ArsonEmergency. While research has been quick to show that this hashtag was artificially promoted by bots (Weber et al.), this and misinformation like it was also shared and amplified by real Twitter users, and quickly spread into mainstream media in Australia—including Murdoch’s Australian (Ross and Reid)—and internationally. Such misinformation was used to shore up denialist discourses about the fires, and to obscure revelation of the fire/climate change connection. Blame Framing, Public Opinion and the Extent of the Climate Change RevelationAs studies of media coverage of environmental disasters show us, media seek to apportion blame. This blame framing is “accountability work”, undertaken to explain how and why a disaster occurred, with the aim of “scrutinizing the actions of crisis actors, and holding responsible authorities to account” (Anderson et al. 930). In moments of disaster and in their aftermath, “framing contests” (Benford and Snow) can emerge in which some actors, regarding the crisis as an opportunity for change, highlight the systemic issues that have led to the crisis. Other actors, experiencing the crisis as a threat to the status quo, try to attribute the blame to others, and deny the need for policy change. As the Black Summer unfolded, just such a contest took place in Australian media discourse. While Murdoch’s dominant News Corp media sought to protect the status quo, promote conservative politicians’ views, and divert attention from the climate crisis, other Australian and overseas media outlets revealed the fires’ link to climate change and intransigent emissions policy. However, cracks did begin to show in the News Corp stance on climate change during the fires: an internal whistleblower publicly resigned over the media company’s fires coverage, calling it a “misinformation campaign”, and James Murdoch also spoke out about being “disappointed with the ongoing denial of the role of climate change” in reporting the fires (ABC/Reuters).Although media reporting on the environment has long been at the forefront of shaping social understanding of environmental issues, and news maintains a central role in both revealing environmental threats and shaping environmental politics (Lester), during Australia’s Black Summer people were also learning about the fires from lived experience. Polls show that the fires affected 57% of Australians. Even those distant from the catastrophe were, for some time, breathing the most toxic air in the world. This personal experience of disaster revealed a bushfire season that was far outside the normal, and public opinion reflected this. A YouGov Australia Institute poll in January 2020 found that 79% of Australians were concerned about climate change—an increase of 5% from July 2019—and 67% believed climate change was making the bushfires worse (Australia Institute). However, a January 2020 Ipsos poll also found that polarisation along political lines on whether climate change was indeed occurring had increased since 2018, and was at its highest levels since 2014 (Crowe). This may reflect the kind of polarised media landscape that was evident during the fires. A thorough dissection in public discourse of Australia’s unprecedented fire season has been largely eclipsed by the vast coverage of the coronavirus pandemic that so quickly followed it. 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