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1. Full Text Modelo 3-PG na previsĆ£o do potencial produtivo de Ć”reas para plantios comerciais de Eucalyptus spp
by de Oliveira, Carlos Magno Moreira and Delgado, Rafael Coll and de AraĆŗjo, Emanuel JosĆ© Gomes and de Almeida, AndrĆ© QuintĆ£o and Rosa, Thais Cristian and de Oliveira JĆŗnior, JosĆ© Francisco
CieĢ‚ncia florestal, ISSN 0103-9954, 01/2018, Volume 28, Issue 1, pp. 249 - 262
Ecophysiological model | Forest yield | Process-based models | ECOLOGY | ENVIRONMENTAL STUDIES | FORESTRY
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2. Full Text Assessing predicted isolation effects from the general dynamic model of island biogeography with an ecoā€evolutionary model for plants
by Cabral, Juliano Sarmento and Whittaker, Robert J and Wiegand, Kerstin and Kreft, Holger and Emerson, Brent
Journal of biogeography, ISSN 0305-0270, 07/2019, Volume 46, Issue 7, pp. 1569 - 1581
general dynamic model | metabolic theory | interspecific competition | oceanic islands | speciation rate | processā€based models | plant endemism | island biogeography | BioGEEM | isolation effects | process-based models | Physical Sciences | Life Sciences & Biomedicine | Physical Geography | Geography, Physical | Environmental Sciences & Ecology | Ecology | Science & Technology | Biogeography | Evolution | Plants | Analysis | Endemic species | Demography | Populations | Endemism | Species extinction | Biological evolution | Radiation | Ontogeny | Endangered & extinct species | Ecological effects | Dispersal | Island biogeography | Dynamic models | Ecological monitoring | Trends | Speciation | Species richness | Oceanic islands | Plants (botany) | Computer simulation | Extinction | Dispersion | Simulation | Predictions | Stochasticity | Mutation | Differentiation | Colonization | Niches
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3. Full Text Model selection and model averaging in behavioural ecology: the utility of the IT-AIC framework
by Shane A. Richards and Mark J. Whittingham and Philip A. Stephens
Behavioral ecology and sociobiology, ISSN 0340-5443, 1/2011, Volume 65, Issue 1, pp. 77 - 89
Environmental social sciences | Ecological modeling | Seeds | Evolutionary psychology | Inference | Ecology | Behavior modeling | Modeling | Parametric models | Applied ecology | Life Sciences | Zoology | Behavioural Sciences | Effect size | Evolutionary Biology | Model weighting | Statistics | Null hypotheses | Process-based models | Environmental Sciences & Ecology | Life Sciences & Biomedicine | Behavioral Sciences | Science & Technology | Hypothesis testing | Behavioral biology | Statistical inference | Information theory
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4. Full Text CN-Wheat, a functional-structural model of carbon and nitrogen metabolism in wheat culms after anthesis. I. Model description
by Barillot, Romain and Chambon, Camille and Andrieu, Bruno
Annals of botany, ISSN 0305-7364, 10/2016, Volume 118, Issue 5, pp. 997 - 1013
cytokinins | fructans | sink-source relations | carbon | nitrogen | plant metabolism and physiology | proteins | Amino acids | process-based functional-structural plant model | wheat | sucrose | Triticum aestivum | Life Sciences & Biomedicine | Plant Sciences | Science & Technology | Index Medicus | Life Sciences | process-based functionalā€“structural plant model | sinkā€“source relations | Original
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5. Full Text The INtegrated CAtchment model of phosphorus dynamics (INCA-P): Description and demonstration of new model structure and equations
by Jackson-Blake, L.A and Wade, A.J and Futter, M.N and Butterfield, D and Couture, R.-M and Cox, B.A and Crossman, J and Ekholm, P and Halliday, S.J and Jin, L and Lawrence, D.S.L and Lepistƶ, A and Lin, Y and Rankinen, K and Whitehead, P.G
Environmental modelling & software : with environment data news, ISSN 1364-8152, 09/2016, Volume 83, pp. 356 - 386
Model | Phosphorus | Catchment | Process-based | Watershed | Water quality | Engineering | Computer Science, Interdisciplinary Applications | Engineering, Environmental | Life Sciences & Biomedicine | Technology | Computer Science | Environmental Sciences & Ecology | Science & Technology | Environmental Sciences | Air pollution | Aquatic resources | Research institutes | Analysis | Policies | Catchments | Dynamics | Mathematical analysis | Surface water | Mathematical models
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6. Full Text Are our dynamic water quality models too complex? A comparison of a new parsimonious phosphorus model, SimplyP, and INCAā€P
by Jacksonā€Blake, L. A and Sample, J. E and Wade, A. J and Helliwell, R. C and Skeffington, R. A
Water resources research, ISSN 0043-1397, 07/2017, Volume 53, Issue 7, pp. 5382 - 5399
complexity | model | simplicity | water quality | dynamic processā€based | phosphorus | dynamic process-based | Limnology | Physical Sciences | Life Sciences & Biomedicine | Marine & Freshwater Biology | Water Resources | Environmental Sciences & Ecology | Science & Technology | Environmental Sciences | Climate | Complexity | Parameter uncertainty | Building codes | Catchment area | Land use planning | Rainfall runoff relationships | Nutrient dynamics | Parameters | Computer simulation | Rainfall-runoff modeling | Stream discharge | Suspended sediments | Climate models | Climatic changes | Land use | Water quality models | Runoff | Blooms | Scale (ratio) | Water quality | Process parameters | Models | Risk management | Stream flow | Water runoff | Catchments | Rainfall-runoff relationships | Eutrophication | Risks | Algal blooms | Land management | Dynamics | Prototypes | Nutrients | Modelling | Nutrients (mineral) | Rural land use | Algae | Benchmarks | Rainfall | Tools | Phosphorus | Management | Rivers | Calibration | Land use management | Catchment areas | Climate change | Hypotheses | Biogeochemistry | Catchment models
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7. Full Text CN-Wheat, a functional-structural model of carbon and nitrogen metabolism in wheat culms after anthesis. II. Model evaluation
by Barillot, Romain and Chambon, Camille and Andrieu, Bruno
Annals of botany, ISSN 0305-7364, 10/2016, Volume 118, Issue 5, pp. 1015 - 1031
cytokinins | fructans | sink-source relations | carbon | nitrogen | plant metabolism and physiology | proteins | Amino acids | process-based functional-structural plant model | wheat | sucrose | Triticum aestivum | Life Sciences & Biomedicine | Plant Sciences | Science & Technology | Index Medicus | Life Sciences | process-based functionalā€“structural plant model | sinkā€“source relations | Original
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8. Full Text Processā€evaluation of tropospheric humidity simulated by general circulation models using water vapor isotopologues: 1. Comparison between models and observations
by Risi, Camille and Noone, David and Worden, John and Frankenberg, Christian and Stiller, Gabriele and Kiefer, Michael and Funke, Bernd and Walker, Kaley and Bernath, Peter and Schneider, Matthias and Wunch, Debra and Sherlock, Vanessa and Deutscher, Nicholas and Griffith, David and Wennberg, Paul O and Strong, Kimberly and Smale, Dan and Mahieu, Emmanuel and Barthlott, Sabine and Hase, Frank and GarcĆ­a, Omaira and Notholt, Justus and Warneke, Thorsten and Toon, Geoffrey and Sayres, David and Bony, Sandrine and Lee, Jeonghoon and Brown, Derek and Uemura, Ryu and Sturm, Christophe
Journal of Geophysical Research: Atmospheres, ISSN 0148-0227, 03/2012, Volume 117, Issue D5, p. n/a
general circulation models | relative humidity | water isotopes | processā€based evaluation | Meteorology & Atmospheric Sciences | Physical Sciences | Science & Technology | Earth, ocean, space | Earth sciences | Exact sciences and technology | Paleoclimate science | Chemistry | Clouds | Troposphere | Oceanography | Atmospheric sciences | Physics | Climate science
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