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Forest Fire Risk Prediction
| Forest Fire Risk Prediction |
| Autore | Nolan Rachael |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (235 p.) |
| Soggetto topico |
Biology, life sciences
Forestry & related industries Research & information: general |
| Soggetto non controllato |
acid rain
aerosol alien pathogen allochthonous species biomass burning canopy bulk density China climate change critical LFMC threshold crown fire Cupressus sempervirens direct estimation disease drought drying tests epicormic resprouter eucalyptus fire behavior fire danger fire danger rating fire management fire modeling fire regime fire risk fire season fire severity fire size fire weather fire weather patterns flammability flammability feedbacks foliar moisture content forest fire forest fire driving factors forest fire management forest fire occurrence forest/grassland fire fuel moisture fuel moisture content fuels FWI system humidity diffusion coefficients introduced fungus leaf water potential machine learning mass loss calorimeter meteorological factor regression MNI modeling moisture content n/a occurrence of forest fire plant traits PM2.5 Portugal prediction accuracy prescribed burning radiative transfer model random forest RCP remote sensing Seiridium cardinale senescence southwest China SSR temperate forest time lag variable importance vulnerability to wildfires wildfire |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557387103321 |
Nolan Rachael
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Viticulture and Winemaking under Climate Change
| Viticulture and Winemaking under Climate Change |
| Autore | Fraga Helder |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (294 p.) |
| Soggetto topico | Meteorology & climatology |
| Soggetto non controllato |
'Uva Rey'
adaptation adaptation measures assimilation autochthonous cultivar B. cinerea mold berry composition bioactive compounds Botrytis cinerea CIRG climate climate change climatic influence crop management crop model crop surface model crop water stress index Douro wine region drought dry mass partitioning elevated CO2 EURO-CORDEX FACE general circulation model global warming grape grape berry tissues grape quality grapevine grapevine pest intercellular CO2 irrigation kaolin leaf area leaf water potential light micro-climates low-input mealybug mechanical thinning microclimate micrometeorology mitigation strategies modeling modelling multi-temporal analysis natural hail normalized difference vegetation index parasitoid phenolics phenological model phenology phenology modelling platform photosynthesis photosynthetic pigments physiological processes plant architecture plant material Portugal precision viticulture predawn water potential PRI production system pulse amplitude modulated (PAM) fluorometry rate of anthocyanin accumulation RCP4.5 remote sensing rootstock S-ABA sensory analysis SO2 pads spatial variability stomatal conductance table grapes technological and phenolic ripeness temperature Touriga Franca Touriga Nacional training system unmanned aerial vehicles vigour maps vineyards Virtual Riesling viticultural training system viticulture Vitis vinifera Vitis vinifera (L.) Vitis vinifera L. water limitation water status WI wine winemaking yield formation |
| ISBN | 3-03921-975-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367736403321 |
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Fraga Helder
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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