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Book
Forest Fire Risk Prediction
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

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.


Book
Fatty Acids in Natural Ecosystems and Human Nutrition
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Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Long-chain polyunsaturated fatty acids (PUFAs) of the omega-3 family, such as eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), are physiologically important for many animals and humans. Moreover, fatty acids play an important roles in numerous contexts reflecting various levels: from their producers in natural ecosystems, microalgae, through to invertebrates and fish, and to culinary treatments of fish products for human consumption. Environmental threats such as anthropogenic pollution and its effects on PUFA yield in aquatic ecosystems as well as their transfer to terrestrial ecosystems are highlighted. Assumptions and challenges that are important for the study of PUFA in trophic webs of aquatic ecosystems as well as in human nutrition are discussed.


Book
Fatty Acids in Natural Ecosystems and Human Nutrition
Author:
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Long-chain polyunsaturated fatty acids (PUFAs) of the omega-3 family, such as eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), are physiologically important for many animals and humans. Moreover, fatty acids play an important roles in numerous contexts reflecting various levels: from their producers in natural ecosystems, microalgae, through to invertebrates and fish, and to culinary treatments of fish products for human consumption. Environmental threats such as anthropogenic pollution and its effects on PUFA yield in aquatic ecosystems as well as their transfer to terrestrial ecosystems are highlighted. Assumptions and challenges that are important for the study of PUFA in trophic webs of aquatic ecosystems as well as in human nutrition are discussed.

Keywords

Research & information: general --- Biology, life sciences --- Food & society --- Fatty acid --- fish --- food web --- periphyton --- trophic transfer --- water pollution --- zoobenthos --- salmon --- pan-frying --- rosemary --- lipid oxidation --- polyunsaturated fatty acids --- aldehydes --- isoprostanes --- eicosapentaenoic acid --- docosahexaenoic acid --- nutritive quality --- eutrophication --- culinary treatments --- fatty acids --- dietary sources --- allochthonous --- Salvelinus leucomaenis --- chronic mild stress --- depression --- gut microbiota --- fish oil --- olive oil --- CLA --- conjugated linoleic acid --- ALA --- α-linolenic acid --- n-3 HUFA score --- meat fat --- vegetable fat --- mollusks --- symbiotic bacteria --- biosynthesis --- aquatic ecosystems --- subsidies --- food webs --- fatty acyl desaturase --- Δ6 - desaturase --- long-chain polyunsaturated fatty acid --- LC-PUFA --- ω3 --- ω6 --- EPA --- DHA --- AA --- essential fatty acid --- health --- transgene --- essential polyunsaturated fatty acids --- linoleic acid --- alpha-linolenic acid --- food quality --- muscle tissue --- subcutaneous adipose tissue --- liver --- green cryo-fodder --- lipids --- Leptoclinus maculatus --- ontogenesis --- adaptations --- trophic nets --- Arctic --- arctic --- Salmoniformes --- long-chain polyunsaturated fatty acids --- polar lipids --- triacylglycerols --- phytoplankton --- freshwater --- nutritional value --- Fatty acid --- fish --- food web --- periphyton --- trophic transfer --- water pollution --- zoobenthos --- salmon --- pan-frying --- rosemary --- lipid oxidation --- polyunsaturated fatty acids --- aldehydes --- isoprostanes --- eicosapentaenoic acid --- docosahexaenoic acid --- nutritive quality --- eutrophication --- culinary treatments --- fatty acids --- dietary sources --- allochthonous --- Salvelinus leucomaenis --- chronic mild stress --- depression --- gut microbiota --- fish oil --- olive oil --- CLA --- conjugated linoleic acid --- ALA --- α-linolenic acid --- n-3 HUFA score --- meat fat --- vegetable fat --- mollusks --- symbiotic bacteria --- biosynthesis --- aquatic ecosystems --- subsidies --- food webs --- fatty acyl desaturase --- Δ6 - desaturase --- long-chain polyunsaturated fatty acid --- LC-PUFA --- ω3 --- ω6 --- EPA --- DHA --- AA --- essential fatty acid --- health --- transgene --- essential polyunsaturated fatty acids --- linoleic acid --- alpha-linolenic acid --- food quality --- muscle tissue --- subcutaneous adipose tissue --- liver --- green cryo-fodder --- lipids --- Leptoclinus maculatus --- ontogenesis --- adaptations --- trophic nets --- Arctic --- arctic --- Salmoniformes --- long-chain polyunsaturated fatty acids --- polar lipids --- triacylglycerols --- phytoplankton --- freshwater --- nutritional value


Book
Forest Fire Risk Prediction
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

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.

Keywords

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 --- 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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