Works matching DE "PLANTS -- Mathematical models"
Results: 20
Modeling greenup date of dominant grass species in the Inner Mongolian Grassland using air temperature and precipitation data.
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- International Journal of Biometeorology, 2014, v. 58, n. 4, p. 463, doi. 10.1007/s00484-013-0732-1
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Simulating changes in the leaf unfolding time of 20 plant species in China over the twenty-first century.
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- International Journal of Biometeorology, 2014, v. 58, n. 4, p. 473, doi. 10.1007/s00484-013-0671-x
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Mathematics in Marine Botany: Examples of the Modelling Process. Part II: Continuous Models.
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- Teaching Mathematics & its Applications, 1996, v. 15, n. 2, p. 78, doi. 10.1093/teamat/15.2.78
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Assessment of stability performance in scented rice genotypes under transplanted condition of south-eastern plain zone of Rajasthan.
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- Electronic Journal of Plant Breeding, 2015, v. 6, n. 4, p. 992
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Acceleration of mass transfer processes in plants due to the geometric structure: a fractional order equation of mass transfer and its application.
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- Scientific Reports, 2019, v. 9, n. 1, p. N.PAG, doi. 10.1038/s41598-019-51362-y
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Using plant growth modeling to analyse C source-sink relations under drought: inter and intra specific comparison.
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- Frontiers in Plant Science, 2013, v. 4, p. 1, doi. 10.3389/fpls.2013.00437
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Temperature response of bundle-sheath conductance in maize leaves.
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- Journal of Experimental Botany, 2016, v. 67, n. 9, p. 2699, doi. 10.1093/jxb/erw104
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MODELO MATEMÁTICO DETERMINÍSTICO-ESTOCÁSTICO PARA PREVISÃO DA MACROESTRUTURA BRUTA DE SOLIDIFICAÇÃO SOB EFEITO DA DECANTAÇÃO DE GRÃOS.
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- Tecnologia em Metalurgia, Materiais e Mineração, 2012, v. 9, n. 2, p. 132, doi. 10.4322/tmm.2012.020
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Paired-data fusion for improved estimation of pine plantation structure.
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- International Journal of Remote Sensing, 2015, v. 36, n. 8, p. 1995, doi. 10.1080/01431161.2015.1024896
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Estimating net surface longwave radiation from net surface shortwave radiation for cloudy skies.
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- International Journal of Remote Sensing, 2013, v. 34, n. 22, p. 8104, doi. 10.1080/01431161.2013.832002
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Identification of virtual plants using bayesian networks based on parametric L-system.
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- International Journal of Advances in Intelligent Informatics, 2018, v. 4, n. 1, p. 40, doi. 10.26555/ijain.v4i1.157
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Leaf and stem economics spectra drive diversity of functional plant traits in a dynamic global vegetation model.
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- Global Change Biology, 2015, v. 21, n. 7, p. 2711, doi. 10.1111/gcb.12870
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Characterizing the Relative Spatial Structure of Point Patterns.
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- International Journal of Ecology, 2012, p. 1, doi. 10.1155/2012/619281
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Co-optimization of axial root phenotypes for nitrogen and phosphorus acquisition in common bean.
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- Annals of Botany, 2018, v. 122, n. 3, p. 485, doi. 10.1093/aob/mcy092
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On the use of mathematically-derived traits in QTL mapping.
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- Molecular Breeding, 2012, v. 29, n. 3, p. 661, doi. 10.1007/s11032-011-9580-z
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Evaluating the responses of forest ecosystems to climate change and CO<sub>2</sub> using dynamic global vegetation models.
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- Ecology & Evolution (20457758), 2017, v. 7, n. 3, p. 997, doi. 10.1002/ece3.2735
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Taking off the training wheels: the properties of a dynamic vegetation model without climate envelopes, CLM4.5(ED).
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- Geoscientific Model Development, 2015, v. 8, n. 11, p. 3593, doi. 10.5194/gmd-8-3593-2015
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An assessment of the performance of the logistic mixed model for analyzing binary traits in maize and sorghum diversity panels.
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- PLoS ONE, 2018, v. 13, n. 11, p. 1, doi. 10.1371/journal.pone.0207752
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Neimark-Sacker Bifurcation and Chaos Control in a Fractional-Order Plant-Herbivore Model.
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- Discrete Dynamics in Nature & Society, 2017, p. 1, doi. 10.1155/2017/6312964
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A New Method for Modifying Thresholds in the Classification of Tree Models for Mapping Aquatic Vegetation in Taihu Lake with Satellite Images.
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- Remote Sensing, 2014, v. 6, n. 8, p. 7442, doi. 10.3390/rs6087442
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- Article