Siberian boreal forests have experienced increases in fire extent and intensity in recent years, which may threaten their role as carbon (C) sinks. Larch forests (Larix spp.) cover approximately 2.6 million km2 across Siberia, yet little is known about the magnitude and drivers of carbon combustion in these ecosystems. To address the paucity of field‐based estimates of fuel load and consumption in Siberian larch forests, we sampled 41 burned plots, one to two years after fire, in Cajander larch (Larix cajanderi) forests in the Republic of Sakha (Yakutia), Russia. We estimated pre‐fire carbon stocks and combustion with the objective of identifying the main drivers of carbon emissions. Pre‐fire aboveground (trees and woody debris) and belowground carbon stocks at our study plots were 3.12 ± 1.26 kg C m−2 (mean ± standard deviation) and 3.50 ± 0.93 kg C m−2. We found that combustion averaged 3.20 ± 0.75 kg C m−2, of which 78% (2.49 ± 0.56 kg C m−2) stemmed from organic soil layers. These results suggest that severe fires in Cajander larch forests can result in combustion rates comparable to those observed in North American boreal forests and exceeding those previously reported for other forest types and burning conditions in Siberia. Carbon combustion was driven by both fire weather conditions and landscape variables, with pre‐fire organic soil depth being the strongest predictor across our plots. Our study highlights the need to better account for Siberian larch forest fires and their impact on the carbon balance, especially given the expected climate‐induced increase in fire extent and severity in this region.
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The improvement of passive fire protection of storage vessels is a key factor to enhance safety among the LPG distribution chain. A thermal and mechanical model based on finite elements simulations was developed to assess the behaviour of full size tanks used for LPG storage and transportation in fire engulfment scenarios. The model was validated by experimental results. A specific analysis of the performance of four different reference coating materials was then carried out, also defining specific key performance indicators (KPIs) to assess design safety margins in near-miss simulations. The results confirmed the wide influence of coating application on the expected vessel time to failure due to fire engulfment. Aquite different performance of the alternative coating materialswas evidenced. General correlationswere developed among the vessel time to failure and the effective coating thickness in full engulfment scenarios, providing a preliminary assessment of the coating thickness required to prevent tank rupture for a given time lapse. The KPIs defined allowed the assessment of the available safety margins in the reference scenarios analyzed and of the robustness of thermal protection design.
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Short YouTube video about the Firefighters project. Recent increase in wild fires in France, and around the world, are an unfortunate example of the current challenges firefighters face nowadays. Data science can provide a solution for such challenges. Through various visualizations, we can empower our public services to react faster and more efficiently to extreme situations. The firefighter project aims to empower fire departments and provide them with the tools necessary for data based decision-making.
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De auteurs "allen werkzaam bij TNO, hebben zich gebogen over inclusieve technologie. Dat is technologie die kwetsbare mensen ondersteunt in het zoeken naar werk en/of aan het werk blijven. Belangrijke factoren hierbij zijn zoekintentie, -vaardigheden, goede taakuitvoering, vitaliteit, ontwikkeling en mobiliteit."
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Psychologist and computerscientist Geoffrey Hinton, called the godfather of AI, argued that we should stop with A(G)I. In this column it is argued that Artificial General Intelligence like ChatGPT works very differently than organic intelligence. An organic complexity works like a chain reaction. Unlike living systems, where the bigger the slower holds (r-factor well below 1), this is not true in inorganic systems. So they are uncontrollable. Scalable technology increases our planetary footprint to unjustified proportions precisely because the r-factor is greater than 1. Inorganic fortresses are characterized by this. Chain reactions do not stop their growth until everything is gone. When all technological fires are extinguished, it will be too late for us, precisely because we need basic techniques to survive. Fortunately, we have our Being (IDG1), Sense (IDG2), Sense of Responsibility for the Planet and Each Other (IDG3), and Will to Collaborate (IDG4), with which we can Change Course (IDG5).
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Climate warming is considered to be among the most serious of anthropogenic stresses to the environment, because it not only has direct effects on biodiversity, but it also exacerbates the harmful effects of other human-mediated threats. The associated consequences are potentially severe, particularly in terms of threats to species preservation, as well as in the preservation of an array of ecosystem services provided by biodiversity. Among the most affected groups of animals are insects—central components of many ecosystems—for which climate change has pervasive effects from individuals to communities. In this contribution to the scientists' warning series, we summarize the effect of the gradual global surface temperature increase on insects, in terms of physiology, behavior, phenology, distribution, and species interactions, as well as the effect of increased frequency and duration of extreme events such as hot and cold spells, fires, droughts, and floods on these parameters. We warn that, if no action is taken to better understand and reduce the action of climate change on insects, we will drastically reduce our ability to build a sustainable future based on healthy, functional ecosystems. We discuss perspectives on relevant ways to conserve insects in the face of climate change, and we offer several key recommendations on management approaches that can be adopted, on policies that should be pursued, and on the involvement of the general public in the protection effort.
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This article addresses European energy policy through conventional and transformative sustainability approaches. The reader is guided towards an understanding of different renewable energy options that are available on the policy making table and how the policy choices have been shaped. In arguing that so far, European energy policy has been guided by conventional sustainability framework that focuses on eco-efficiency and ‘energy mix’, this article proposes greater reliance on circular economy (CE) and Cradle to Cradle (C2C) frameworks. Exploring the current European reliance on biofuels as a source of renewable energy, this article will provide recommendations for transition to transformative energy choices. http://dx.doi.org/10.13135/2384-8677/2331 https://www.linkedin.com/in/helenkopnina/
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This century, greenhouse gas emissions such as carbon dioxide, methane and nitrogen oxides must be significantly reduced. Greenhouse gases absorb and emit infrared radiation that contributes to global warming, which can lead to irreversible negative consequences for humans and the environment. Greenhouse gases are caused by the burning of fossil fuels such as crude oil, coal, and natural gas, but livestock farming, and agriculture are also to blame. In addition, deforestation contributes to more greenhouse gases. Of the natural greenhouse gases, water vapor is the main cause of the greenhouse effect, accounting for 90%. The remaining 10% is caused from high to low by carbon dioxide, methane, nitrogen oxides, chlorofluorocarbons, and ozone. In addition, there are industrial greenhouse gases such as fluorinated hydrocarbons, sulphurhexafluoride and nitrogen trifluoride that contribute to the greenhouse effect too. Greenhouse gases are a major cause of climate change, with far-reaching consequences for the welfare of humans and animals. In some regions, extreme weather events like rainfall are more common, while others are associated with more extreme heat waves and droughts. Sea level rise caused by melting ice and an increase in forest fires are undesirable effects of climate change. Countries in low lying areas fear that sea level rise will force their populations to move to the higher lying areas. Climate change is affecting the entire world. An estimated 30-40% o f the carbon dioxide released by the combustion of fossil fuels dissolves into the surface water resulting in an increased concentration of hydrogen ions. This causes the seawater to become more acidic, resulting in a decreasing of carbonate ions. Carbonate ions are an important building block for forming and maintaining calcium carbonate structures of organisms such as oysters, mussels, sea urchins, shallow water corals, deep sea corals and calcareous plankton.
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Anthropology is traditionally broken into several subfields, physical/biological anthropology, social/cultural anthropology, linguistic anthropology, archaeology, and sometimes also applied anthropology. Anthropology of the environment, or environmental anthropology, is a specialization within the field of anthropology that studies current and historic human-environment interactions. Although the terms environmental anthropology and ecological anthropology are often used interchangeably, environmental anthropology is considered by some to be the applied dimension of ecological anthropology, which encompasses the broad topics of primate ecology, paleoecology, cultural ecology, ethnoecology, historical ecology, political ecology, spiritual ecology, and human behavioral and evolutionary ecology. However, according to Townsend (2009: 104), “ecological anthropology will refer to one particular type of research in environmental anthropology—field studies that describe a single ecosystem including a human population and frequently deal with a small population of only a few hundred people such as a village or neighborhood.” Kottak states that the new ecological anthropology mirrors more general changes in the discipline: the shift from research focusing on a single community or unique culture “to recognizing pervasive linkages and concomitant flows of people, technology, images, and information, and to acknowledging the impact of differential power and status in the postmodern world on local entities. In the new ecological anthropology, everything is on a larger scale” (Kottak 1999:25). Environmental anthropology, like all other anthropological subdisciplines, addresses both the similarities and differences between human cultures; but unlike other subdisciplines (or more in line with applied anthropology), it has an end goal—it seeks to find solutions to environmental damage. While in our first volume (Shoreman-Ouimet and Kopnina 2011) we criticized Kottak’s anthropocentric bias prioritizing environmental anthropology's role as a supporter of primarily people's (and particularly indigenous) interests rather than ecological evidence. In his newer 2 publication, Kottak (2010:579) states: “Today’s ecological anthropology, aka environmental anthropology, attempts not only to understand but also to find solutions to environmental problems.” And because this is a global cause with all cultures, peoples, creeds, and nationalities at stake, the contributors to this volume demonstrate that the future of environmental anthropology may be more focused on finding the universals that underlie human differences and understanding how these universals can best be put to use to end environmental damage. This is an Accepted Manuscript of a book chapter published by Routledge/CRC Press in "Environmental Anthropology: Future Directions" on 7/18/13 available online: https://doi.org/10.4324/9780203403341 LinkedIn: https://www.linkedin.com/in/helenkopnina/
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In recent years, drones have increasingly supported First Responders (FRs) in monitoring incidents and providing additional information. However, analysing drone footage is time-intensive and cognitively demanding. In this research, we investigate the use of AI models for the detection of humans in drone footage to aid FRs in tasks such as locating victims. Detecting small-scale objects, particularly humans from high altitudes, poses a challenge for AI systems. We present first steps of introducing and evaluating a series of YOLOv8 Convolutional Neural Networks (CNNs) for human detection from drone images. The models are fine-tuned on a created drone image dataset of the Dutch Fire Services and were able to achieve a 53.1% F1-Score, identifying 439 out of 825 humans in the test dataset. These preliminary findings, validated by an incident commander, highlight the promising utility of these models. Ongoing efforts aim to further refine the models and explore additional technologies.
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