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Globally, fire regimes are being altered by changing climatic conditions and land use changes. This has the potential to drive species extinctions and cause ecosystem state changes, with a range of consequences for ecosystem services. Accurate prediction of the risk of forest fires over short timescales (weeks or months) is required for land managers to target suppression resources in order to protect people, property, and infrastructure, as well as fire-sensitive ecosystems. Over longer timescales, prediction of changes in forest fire regimes is required to model the effect of wildfires on the terrestrial carbon cycle and subsequent feedbacks into the climate system.This was the motivation to publish this book, which is focused on quantifying and modelling the risk factors of forest fires. More specifically, the chapters in this book address four topics: (i) the use of fire danger metrics and other approaches to understand variation in wildfire activity; (ii) understanding changes in the flammability of live fuel; (iii) modeling dead fuel moisture content; and (iv) estimations of emission factors.The book will be of broad relevance to scientists and managers working with fire in different forest ecosystems globally.
fire danger rating --- fire management --- fire regime --- fire size --- fire weather --- Portugal --- critical LFMC threshold --- forest/grassland fire --- radiative transfer model --- remote sensing --- southwest China --- acid rain --- aerosol --- biomass burning --- forest fire --- PM2.5 --- direct estimation --- meteorological factor regression --- moisture content --- time lag --- forest fire driving factors --- forest fire occurrence --- random forest --- forest fire management --- China --- Cupressus sempervirens --- fire risk --- fuels --- fuel moisture content --- mass loss calorimeter --- Seiridium cardinale --- vulnerability to wildfires --- disease --- alien pathogen --- allochthonous species --- introduced fungus --- drying tests --- humidity diffusion coefficients --- wildfire --- prescribed burning --- modeling --- drought --- flammability --- fuel moisture --- leaf water potential --- plant traits --- climate change --- MNI --- fire season --- fire behavior --- crown fire --- fire modeling --- senescence --- foliar moisture content --- canopy bulk density --- fire danger --- fire weather patterns --- RCP --- FWI system --- SSR --- occurrence of forest fire --- machine learning --- variable importance --- prediction accuracy --- epicormic resprouter --- eucalyptus --- fire severity --- flammability feedbacks --- temperate forest --- n/a
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Globally, fire regimes are being altered by changing climatic conditions and land use changes. This has the potential to drive species extinctions and cause ecosystem state changes, with a range of consequences for ecosystem services. Accurate prediction of the risk of forest fires over short timescales (weeks or months) is required for land managers to target suppression resources in order to protect people, property, and infrastructure, as well as fire-sensitive ecosystems. Over longer timescales, prediction of changes in forest fire regimes is required to model the effect of wildfires on the terrestrial carbon cycle and subsequent feedbacks into the climate system.This was the motivation to publish this book, which is focused on quantifying and modelling the risk factors of forest fires. More specifically, the chapters in this book address four topics: (i) the use of fire danger metrics and other approaches to understand variation in wildfire activity; (ii) understanding changes in the flammability of live fuel; (iii) modeling dead fuel moisture content; and (iv) estimations of emission factors.The book will be of broad relevance to scientists and managers working with fire in different forest ecosystems globally.
Research & information: general --- Biology, life sciences --- Forestry & related industries --- fire danger rating --- fire management --- fire regime --- fire size --- fire weather --- Portugal --- critical LFMC threshold --- forest/grassland fire --- radiative transfer model --- remote sensing --- southwest China --- acid rain --- aerosol --- biomass burning --- forest fire --- PM2.5 --- direct estimation --- meteorological factor regression --- moisture content --- time lag --- forest fire driving factors --- forest fire occurrence --- random forest --- forest fire management --- China --- Cupressus sempervirens --- fire risk --- fuels --- fuel moisture content --- mass loss calorimeter --- Seiridium cardinale --- vulnerability to wildfires --- disease --- alien pathogen --- allochthonous species --- introduced fungus --- drying tests --- humidity diffusion coefficients --- wildfire --- prescribed burning --- modeling --- drought --- flammability --- fuel moisture --- leaf water potential --- plant traits --- climate change --- MNI --- fire season --- fire behavior --- crown fire --- fire modeling --- senescence --- foliar moisture content --- canopy bulk density --- fire danger --- fire weather patterns --- RCP --- FWI system --- SSR --- occurrence of forest fire --- machine learning --- variable importance --- prediction accuracy --- epicormic resprouter --- eucalyptus --- fire severity --- flammability feedbacks --- temperate forest
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A new way of thinking about the climate crisis as an exercise in delimiting knowable, and habitable, worlds As carbon dioxide emissions continue to rise, Earth’s fragile ecosystems are growing increasingly unstable and unpredictable. Horizon Work explores how climate change is disrupting our fundamental ability to project how the environment will act over time, and how rapidly faltering projections are colliding with the dangerous new realities of emergency respon se.Anthropologist Adriana Petryna examines the climate crisis through the lens of “horizoning,” a mode of reckoning that considers unnatural disasters against a horizon of expectation in which people and societies can act. She talks to wildfire scientists who, amid chaotic fire seasons and shifting fire behaviors, are revising predictive models calibrated to conditions that no longer exist. Petryna tells the stories of wildland firefighters who could once rely on memory of previous fires to gauge the behaviors of the next. Trust in patterns has become an occupational hazard. Sometimes, the very concept of projection becomes untenable. Yet if all we see is doom, we will overlook something crucial about the scientific and ethical labors needed to hold back climate chaos. Here is where the work of horizon ing begins.From experiments probing our planetary points of no return to disaster ecologies where the stark realities of climate change are being confronted, Horizon Work reveals how this new way of thinking has the power to reverse harmful legacies while turning voids where projection falters into spaces of collective action and recoverable futures.
Climate change mitigation. --- Climatic changes --- Forecasting. --- Social aspects. --- Albedo. --- Alternative stable state. --- Aluminium foil. --- Aquatic ecosystem. --- Archival research. --- Authorities (V franchise). --- Bifurcation theory. --- Bomb shelter. --- Bulldozer. --- Burial. --- Campsite. --- Carbon dioxide. --- Cell type. --- Cellular respiration. --- Cerro Grande Fire. --- Certainty. --- Climate change. --- Climate. --- Coal. --- Collective responsibility. --- Community leader. --- Convection. --- Coral reef. --- Creatinine. --- Cretaceous. --- Dead reckoning. --- Death rattle. --- Defensible space (fire control). --- Depiction. --- Developmental biology. --- Disaster. --- Drainage. --- Drought. --- Dust storm. --- Ecosystem. --- Entrapment. --- Environmental movement. --- Environmental policy. --- Epigenetics. --- Equipment operator. --- Fallout shelter. --- Fire regime. --- Fire shelter. --- Firefighter. --- Firefighting. --- Fishery. --- Food. --- Fossil fuel. --- Fuel. --- Future generation. --- Gaston Bachelard. --- Greenhouse gas. --- Heat transfer. --- Imperative mood. --- Instrumental temperature record. --- Interaction. --- Interagency hotshot crew. --- Interconnectivity. --- James Hansen. --- Lake Nyos. --- Lightning strike. --- Logging. --- National Oceanic and Atmospheric Administration. --- Natural selection. --- Necrosis. --- Other Losses. --- OurWorldInData. --- Phosphate. --- Predatory fish. --- Probability. --- Profiteering (business). --- Quantity. --- Regime shift. --- Result. --- Rodent. --- Scientist. --- Sea level rise. --- Seedbed. --- Snow. --- Soda lime. --- Soil. --- Strategic bombing. --- Structural engineer. --- Suicide mission. --- Sulfur dioxide. --- Survivability. --- Telecommunication. --- Textile. --- Thought experiment. --- Uncertainty. --- Vegetation. --- W. G. Sebald. --- Water cycle. --- Weather. --- Western United States. --- Wetland. --- Wilderness area. --- Wildfire. --- World War II. --- Year.
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