create a website

Hybrid modeling and prediction of dynamical systems. (2017). Flores, Kevin B ; Hamilton, Franz ; Lloyd, Alun L.
In: PLOS Computational Biology.
RePEc:plo:pcbi00:1005655.

Full description at Econpapers || Download paper

Cited: 3

Citations received by this document

Cites: 56

References cited by this document

Cocites: 25

Documents which have cited the same bibliography

Coauthors: 0

Authors who have wrote about the same topic

Citations

Citations received by this document

  1. Data assimilation with hybrid modeling. (2023). Chen, Luonan ; Chu, Junyu ; Ma, Huanfei ; Shao, Dongrui.
    In: Chaos, Solitons & Fractals.
    RePEc:eee:chsofr:v:167:y:2023:i:c:s0960077922012486.

    Full description at Econpapers || Download paper

  2. Neural Ordinary Differential Equations for Grey-Box Modelling of Lithium-Ion Batteries on the Basis of an Equivalent Circuit Model. (2022). Bessler, Wolfgang G ; Behmann, Rene ; Gasper, Rainer ; Brucker, Jennifer.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:7:p:2661-:d:787334.

    Full description at Econpapers || Download paper

  3. Predicting lake surface water phosphorus dynamics using process-guided machine learning. (2020). Stachelek, Joseph ; Read, Jordan S ; Dugan, Hilary A ; Carey, Cayelan C ; Stillman, Aviah B ; Karpatne, Anuj ; Zhang, YU ; Jia, Xiaowei ; Kumar, Vipin ; Hanson, Paul C ; Ward, Nicole K.
    In: Ecological Modelling.
    RePEc:eee:ecomod:v:430:y:2020:i:c:s0304380020302076.

    Full description at Econpapers || Download paper

References

References cited by this document

  1. Abarbanel H, Brown R, Sidorowich J, Tsimring L. The analysis of observed chaotic data in physical systems. Reviews of Modern Physics. 1993; 65:1331–1392. https://doi.org/10.1103/RevModPhys.65.1331
    Paper not yet in RePEc: Add citation now
  2. Albano A, Passamante A, Farrell M. Using higher-order correlations to define an embedding window. Physica D. 1991; 54:85–97. https://doi.org/10.1016/0167-2789(91)90110-U
    Paper not yet in RePEc: Add citation now
  3. Baake E, Baake M, Bock H, Briggs K. Fitting ordinary differential equations to chaotic data. Physical Review A. 1992; 45:5524–5529. https://doi.org/10.1103/PhysRevA.45.5524
    Paper not yet in RePEc: Add citation now
  4. Berry T, Harlim J. Semiparametric forecasting and filtering: correcting low-dimensional model error in parametric models. Journal of Computational Physics. 2016; 308:305–321. https://doi.org/10.1016/j. jcp.2015.12.043
    Paper not yet in RePEc: Add citation now
  5. Berry T, Sauer T. Adaptive ensemble Kalman filtering of nonlinear systems. Tellus A. 2013; 65:20331. https://doi.org/10.3402/tellusa.v65i0.20331
    Paper not yet in RePEc: Add citation now
  6. Bohlin T, Graebe S. Issues in nonlinear stochastic grey box identification. International Journal of Adaptive Control and Signal Processing. 1995; 9:465–490. https://doi.org/10.1002/acs.4480090603
    Paper not yet in RePEc: Add citation now
  7. Buzug T, Pfister G. Comparison of algorithms calculating optimal embedding parameters for delay time coordinates. Physica D. 1992; 58:127–137. https://doi.org/10.1016/0167-2789(92)90104-U
    Paper not yet in RePEc: Add citation now
  8. Casdagli M. Nonlinear prediction of chaotic time series. Physica D: Nonlinear Phenomena. 1989; 35(3): 335–356. https://doi.org/10.1016/0167-2789(89)90074-2
    Paper not yet in RePEc: Add citation now
  9. Constantino RF, Desharnais RA, Cushing JM, Dennis B. Chaotic dynamics in an insect population. Science. 1997; 276:1881–1882.
    Paper not yet in RePEc: Add citation now
  10. Evensen G. Data assimilation: The Ensemble Kalman Filter. Springer: Heidelberg; 2009.
    Paper not yet in RePEc: Add citation now
  11. Farmer J, Sidorowich J. Predicting chaotic time series. Phys Rev Lett. 1987; 59:845–848. https://doi. org/10.1103/PhysRevLett.59.845 PMID: 10035887
    Paper not yet in RePEc: Add citation now
  12. Forssell U, Lindskog P. Combining semi-physical and neural network modeling: An example of its usefulness. In: 11th IFAC Symposium on System Identification (SYSID’97); 1997.
    Paper not yet in RePEc: Add citation now
  13. Hamilton F, Berry T, Peixoto N, Sauer T. Real-time tracking of neuronal network structure using data assimilation. Physical Review E. 2013; 88:052715. https://doi.org/10.1103/PhysRevE.88.052715
    Paper not yet in RePEc: Add citation now
  14. Hamilton F, Berry T, Sauer T. Ensemble Kalman filtering without a model. Physcial Review X. 2016; 6:011021. https://doi.org/10.1103/PhysRevX.6.011021
    Paper not yet in RePEc: Add citation now
  15. Hamilton F, Berry T, Sauer T. Predicting chaotic time series with a partial model. Physical Review E. 2015; 92(1):010902. https://doi.org/10.1103/PhysRevE.92.010902
    Paper not yet in RePEc: Add citation now
  16. Hamilton F, Cressman J, Peixoto N, Sauer T. Reconstructing neural dynamics using data assimilation with multiple models. Europhysics Letters. 2014; 107:68005. https://doi.org/10.1209/0295-5075/107/
    Paper not yet in RePEc: Add citation now
  17. Hartig F, Dormann C. Does model-free forecasting really outperform the true model? Proceedings of the National Academy of Sciences. 2013; 110:E3975. https://doi.org/10.1073/pnas.1308603110 Hybrid modeling and prediction of dynamical systems PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1005655 July 10, 2017 20 /
    Paper not yet in RePEc: Add citation now
  18. Hauth J. Grey-box modelling for nonlinear systems. The Technical University of Kaiserslautern; 2008.
    Paper not yet in RePEc: Add citation now
  19. Hindmarsh J, Rose R. A model of neuronal bursting using three coupled first order differential equations. Proc Roy Soc. 1984; 221:87–102. https://doi.org/10.1098/rspb.1984.0024
    Paper not yet in RePEc: Add citation now
  20. Hsieh CH, Glaser SM, Lucas AJ, Sugihara G. Distinguishing random environmental fluctuations from ecological catastrophes for the North Pacific Ocean. Nature. 2005; 435(7040):336–340. https://doi.org/

  21. Jimenez J, Moreno J, Ruggeri G. Forecasting on chaotic time series: A local optimal linear-reconstruction method. Phys Rev A. 1992; 45(6):3553. https://doi.org/10.1103/PhysRevA.45.3553 PMID:
    Paper not yet in RePEc: Add citation now
  22. Jorgensen S, Hangos K. Grey box modelling for control: qualitative models as a unifying framework. International Journal of Adaptive Control and Signal Processing. 1995; 9:547–562. https://doi.org/10. 1002/acs.4480090607
    Paper not yet in RePEc: Add citation now
  23. Julier S, Uhlmann J, Durrant-Whyte H. A new method for the nonlinear transformation of means and covariances in filters and estimators. IEEE Trans Automat Control. 2000; 45:477–482. https://doi.org/
    Paper not yet in RePEc: Add citation now
  24. Julier S, Uhlmann J, Durrant-Whyte H. Unscented filtering and nonlinear estimation. Proc IEEE. 2004; 92:401–422. https://doi.org/10.1109/JPROC.2004.837637
    Paper not yet in RePEc: Add citation now
  25. Kalnay E. Atmospheric modeling, data assimilation, and predictability. Cambridge Univ. Press; 2003.
    Paper not yet in RePEc: Add citation now
  26. Karny M, Halouskova A, Nedoma P. Recursive approximation by ARX model: A tool for grey box modelling. International Journal of Adaptive Control and Signal Processing. 1995; 9:525–546. https://doi.org/10.1002/acs.4480090606
    Paper not yet in RePEc: Add citation now
  27. Kember G, Fowler A. A correlation function for choosing time delays in phase portrait reconstructions. Physics Letters A. 1993; 179:72–80. https://doi.org/10.1016/0375-9601(93)90653-H
    Paper not yet in RePEc: Add citation now
  28. Kim H, Eykholt R, Salas J. Nonlinear dynamics, delay times, and embedding windows. Physica D. 1999; 127:48–60. https://doi.org/10.1016/S0167-2789(98)00240-1
    Paper not yet in RePEc: Add citation now
  29. Kugiumtzis D, Lingjærde O, Christophersen N. Regularized local linear prediction of chaotic time series. Physica D: Nonlinear Phenomena. 1998; 112(3):344–360. https://doi.org/10.1016/S0167-2789(97) 00171-1
    Paper not yet in RePEc: Add citation now
  30. Kugiumtzis D. State space reconstruction parameters in the analysis of chaotic time series- the role of time window length. Physica D. 1996; 95:13–28. https://doi.org/10.1016/0167-2789(96)00054-1
    Paper not yet in RePEc: Add citation now
  31. Law K, Stuart A. Evaluating data stimulation algorithms. Mon Wea Rev. 2012; 140:3757–3782. https:// doi.org/10.1175/MWR-D-11-00257.1
    Paper not yet in RePEc: Add citation now
  32. Liebert W, Pawelzik K, Schuster H. Optimal embeddings of chaotic attractors from topological considerations. Europhysics Letters. 1991; 14:521–526. https://doi.org/10.1209/0295-5075/14/6/004
    Paper not yet in RePEc: Add citation now
  33. Lindskog P, Ljung L. Tools for semiphysical modelling. International Journal of Adaptive Control and Signal Processing. 1995; 9:509–523. https://doi.org/10.1002/acs.4480090605
    Paper not yet in RePEc: Add citation now
  34. Lindskog P, Sjöberg J. A comparison between semi-physical and black-box neural net modeling: A case study. In: Proc. Int. Conf. Eng. App. Artifical Neural Networks; 1995.
    Paper not yet in RePEc: Add citation now
  35. Lorenz E. Deterministic nonperiodic flow. J Atmos Sci. 1963; 20:130–141. https://doi.org/10.1175/ 1520-0469(1963)020%3C0130:DNF%3E2.0.CO;2
    Paper not yet in RePEc: Add citation now
  36. Perretti C, Munch S, Sugihara G. Model-free forecasting outperforms the correct mechanistic model for simulated and experimental data. Proceedings of the National Academy of Sciences. 2013; 110: 5253–5257. https://doi.org/10.1073/pnas.1216076110
    Paper not yet in RePEc: Add citation now
  37. Perretti C, Sugihara G, Munch S. Nonparametric forecasting outperforms parametric methods for a simulated multispecies system. Ecology. 2013; 94:794–800. https://doi.org/10.1890/12-0904.1
    Paper not yet in RePEc: Add citation now
  38. Rabier F. Overview of global data assimilation developments in numerical weather-prediction centres. Quarterly Journal of the Royal Meteorological Society. 2005; 131(613):3215–3233. https://doi.org/10. 1256/qj.05.129 Hybrid modeling and prediction of dynamical systems PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1005655 July 10, 2017 19 / 34. Cummings JA. Operational multivariate ocean data assimilation. Quarterly Journal of the Royal Meteorological Society. 2005; 131(613):3583–3604. https://doi.org/10.1256/qj.05.105
    Paper not yet in RePEc: Add citation now
  39. Regonda S, Rajagopalan B, Lall U, Clark M, Moon YI. Local polynomial method for ensemble forecast of time series. Nonlin Proc in Geophys. 2005; 12:397–406. https://doi.org/10.5194/npg-12-397-2005
    Paper not yet in RePEc: Add citation now
  40. Rosenstein M, Collins J, Luca CD. Reconstruction expansion as a geometry-based framework for choosing proper delay times. Physica D. 1994; 73:82–98. https://doi.org/10.1016/0167-2789(94)90226-7
    Paper not yet in RePEc: Add citation now
  41. Sadegh P, Holst J, Madsen H, Melgaard H. Experiment design for grey box identification. International Journal of Adaptive Control and Signal Processing. 1995; 9:491–507. https://doi.org/10.1002/acs.
    Paper not yet in RePEc: Add citation now
  42. Sauer T. Time series prediction by using delay coordinate embedding. In: Time Series Prediction: Forecasting the Future and Understanding the Past. Addison Wesley; 1994. p. 175–193. Hybrid modeling and prediction of dynamical systems PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.1005655 July 10, 2017 18 / 9. Sugihara G. Nonlinear forecasting for the classification of natural time series. Philosophical Transactions of the Royal Society of London Series A: Physical and Engineering Sciences. 1994; 348(1688): 477–495. https://doi.org/10.1098/rsta.1994.0106
    Paper not yet in RePEc: Add citation now
  43. Schelter B, Winterhalder M, Timmer J. Handbook of time series analysis: recent theoretical developments and applications. John Wiley and Sons; 2006.
    Paper not yet in RePEc: Add citation now
  44. Schiff SJ. Neural control engineering. MIT Press; 2012.
    Paper not yet in RePEc: Add citation now
  45. Schroer CG, Sauer T, Ott E, Yorke JA. Predicting chaos most of the time from embeddings with selfintersections. Phys Rev Lett. 1998; 80(7):1410. https://doi.org/10.1103/PhysRevLett.80.1410
    Paper not yet in RePEc: Add citation now
  46. Simon D. Optimal State Estimation: Kalman, H1, and Nonlinear Approaches. John Wiley and Sons; 2006.
    Paper not yet in RePEc: Add citation now
  47. Sitz A, Schwarz U, Kurths J, Voss H. Estimation of parameters and unobserved components for nonlinear systems from noisy time series. Physical Review E. 2002; 66:16210. https://doi.org/10.1103/ PhysRevE.66.016210
    Paper not yet in RePEc: Add citation now
  48. Smith LA. Identification and prediction of low dimensional dynamics. Physica D: Nonlinear Phenomena. 1992; 58(1):50–76. https://doi.org/10.1016/0167-2789(92)90101-R
    Paper not yet in RePEc: Add citation now
  49. Strelioff CC, Hübler AW. Medium-term prediction of chaos. Phys Rev Lett. 2006; 96(4):044101. https:// doi.org/10.1103/PhysRevLett.96.044101 PMID: 16486826
    Paper not yet in RePEc: Add citation now
  50. Sugihara G, May RM. Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series. Nature. 1990; 344(6268):734–741. https://doi.org/10.1038/344734a0 PMID: 2330029
    Paper not yet in RePEc: Add citation now
  51. Takens F. Detecting strange attractors in turbulence. Lecture Notes in Math Springer-Verlag: Berlin. 1981; 898:366–381.
    Paper not yet in RePEc: Add citation now
  52. Ullah G, Schiff S. Assimilating seizure dynamics. PLoS Computational Biology. 2010; 6:e1000776. https://doi.org/10.1371/journal.pcbi.1000776 PMID: 20463875

  53. Ullah G, Schiff S. Tracking and control of neuronal Hodgkin-Huxley dynamics. Phys Rev E. 2009; 79:040901. https://doi.org/10.1103/PhysRevE.79.040901
    Paper not yet in RePEc: Add citation now
  54. Voss H, Timmer J, Kurths J. Nonlinear dynamical system identification from uncertain and indirect measurements. Int J Bif Chaos. 2002; 14:1905–1924. https://doi.org/10.1142/S0218127404010345
    Paper not yet in RePEc: Add citation now
  55. Yoshida K, Yamaguchi J, Kaneda Y. Regeneration of Small Eddies by Data Assimilation in Turbulence. Phys Rev Lett. 2005; 94:014501. https://doi.org/10.1103/PhysRevLett.94.014501 PMID: 15698086
    Paper not yet in RePEc: Add citation now
  56. Yuan G, Lozier M, Pratt L, Jones C, Helfrich K. Estimating the predicability of an oceanic time series using linear and nonlinear methods. J Geophys Res. 2004; 109:C08002. https://doi.org/10.1029/ 2003JC002148
    Paper not yet in RePEc: Add citation now

Cocites

Documents in RePEc which have cited the same bibliography

  1. Disruption of ecological networks in lakes by climate change and nutrient fluctuations. (2023). Sugihara, George ; Pomati, Francesco ; Merz, Ewa ; Saberski, Erik ; Berger, Christine ; Gilarranz, Luis J.
    In: Nature Climate Change.
    RePEc:nat:natcli:v:13:y:2023:i:4:d:10.1038_s41558-023-01615-6.

    Full description at Econpapers || Download paper

  2. Initiation and termination of epilepsy induced by Lévy noise: A view from the cortical neural mass model. (2023). Deng, Zichen ; Shen, Zhuan ; Du, Lin ; Kurths, Jurgen ; Zhang, Honghui.
    In: Chaos, Solitons & Fractals.
    RePEc:eee:chsofr:v:167:y:2023:i:c:s0960077922012176.

    Full description at Econpapers || Download paper

  3. Switching behavior of the gamma power in the neuronal network modulated by the astrocytes. (2022). Wu, Ying ; Zhang, Xuan ; Du, Mengmeng ; Li, Jiajia.
    In: Chaos, Solitons & Fractals.
    RePEc:eee:chsofr:v:159:y:2022:i:c:s0960077922003459.

    Full description at Econpapers || Download paper

  4. Science for Good Environmental Status: A European Joint Action to Support Marine Policy. (2021). Dalcala, Maurizio Ribera ; Sprovieri, Mario ; de Cauwer, Karien ; Tronczynski, Jacek ; Lips, Inga ; Falcini, Federico ; Zeri, Christina ; Maggi, Chiara ; Mauffret, Aourell ; Moretti, Pier Francesco ; Drago, Aldo ; Roose, Patrick.
    In: Sustainability.
    RePEc:gam:jsusta:v:13:y:2021:i:15:p:8664-:d:607644.

    Full description at Econpapers || Download paper

  5. The effect of Cystoseira canopy on the value of midlittoral habitats in NW Mediterranean, an emergy assessment. (2019). Vassallo, P ; Povero, P ; Petrillo, M ; Chiantore, M ; de la Fuente, G ; Paoli, C ; Asnaghi, V ; Thrush, S.
    In: Ecological Modelling.
    RePEc:eee:ecomod:v:404:y:2019:i:c:p:1-11.

    Full description at Econpapers || Download paper

  6. Disentangling the complexity of tropical small-scale fisheries dynamics using supervised Self-Organizing Maps. (2018). Mendoza-Carranza, Manuel ; Ejarque, Elisabet.
    In: PLOS ONE.
    RePEc:plo:pone00:0196991.

    Full description at Econpapers || Download paper

  7. Astrocytic Kir4.1 channels and gap junctions account for spontaneous epileptic seizure. (2018). Yu, Yuguo ; Wu, Ying ; Du, Mengmeng ; Chen, Liang ; Li, Jiajia.
    In: PLOS Computational Biology.
    RePEc:plo:pcbi00:1005877.

    Full description at Econpapers || Download paper

  8. Nonlinear Kalman filtering for censored observations. (2018). Arthur, Joseph ; Tran, Hien ; Hamilton, Franz ; Attarian, Adam.
    In: Applied Mathematics and Computation.
    RePEc:eee:apmaco:v:316:y:2018:i:c:p:155-166.

    Full description at Econpapers || Download paper

  9. Stock assessment and end-to-end ecosystem models alter dynamics of fisheries data. (2017). Glaser, Sarah M ; Storch, Laura S ; Ye, Hao ; Rosenberg, Andrew A.
    In: PLOS ONE.
    RePEc:plo:pone00:0171644.

    Full description at Econpapers || Download paper

  10. Hybrid modeling and prediction of dynamical systems. (2017). Flores, Kevin B ; Hamilton, Franz ; Lloyd, Alun L.
    In: PLOS Computational Biology.
    RePEc:plo:pcbi00:1005655.

    Full description at Econpapers || Download paper

  11. Robust stabilization control of bifurcations in Hodgkin-Huxley model with aid of unscented Kalman filter. (2017). Che, Yanqiu ; Wei, Xile ; Lu, Meili ; Wang, Jiang ; Li, Huiyan ; Liu, Bei.
    In: Chaos, Solitons & Fractals.
    RePEc:eee:chsofr:v:101:y:2017:i:c:p:92-99.

    Full description at Econpapers || Download paper

  12. Regional-Scale Declines in Productivity of Pink and Chum Salmon Stocks in Western North America. (2016). Cox, Sean P ; Malick, Michael J.
    In: PLOS ONE.
    RePEc:plo:pone00:0146009.

    Full description at Econpapers || Download paper

  13. Lack of Critical Slowing Down Suggests that Financial Meltdowns Are Not Critical Transitions, yet Rising Variability Could Signal Systemic Risk. (2016). Raghavendra, Srinivas ; Guttal, Vishwesha ; Hoarau, Quentin ; Goel, Nikunj.
    In: PLOS ONE.
    RePEc:plo:pone00:0144198.

    Full description at Econpapers || Download paper

  14. Hedge fund allocation: Evaluating parametric and nonparametric forecasts using alternative portfolio construction techniques. (2016). Fabozzi, Frank ; Subbiah, Mohan.
    In: International Review of Financial Analysis.
    RePEc:eee:finana:v:45:y:2016:i:c:p:189-201.

    Full description at Econpapers || Download paper

  15. Dynamic transition on the seizure-like neuronal activity by astrocytic calcium channel block. (2016). Wu, Ying ; Wang, Rong ; Du, Mengmeng ; Tang, Jun ; Li, Jiajia.
    In: Chaos, Solitons & Fractals.
    RePEc:eee:chsofr:v:91:y:2016:i:c:p:702-708.

    Full description at Econpapers || Download paper

  16. Beyond Benfords Law: Distinguishing Noise from Chaos. (2015). Fu, Zuntao ; Li, Qinglei ; Yuan, Naiming.
    In: PLOS ONE.
    RePEc:plo:pone00:0129161.

    Full description at Econpapers || Download paper

  17. A non-linear causal network of marketing channel system structure. (2015). Dost, Florian.
    In: Journal of Retailing and Consumer Services.
    RePEc:eee:joreco:v:23:y:2015:i:c:p:49-57.

    Full description at Econpapers || Download paper

  18. The Temporal Spectrum of Adult Mosquito Population Fluctuations: Conceptual and Modeling Implications. (2014). Jian, Yun ; Silvestri, Sonia ; Hickman, Rick ; Marani, Marco ; Brown, Jeff.
    In: PLOS ONE.
    RePEc:plo:pone00:0114301.

    Full description at Econpapers || Download paper

  19. Dynamics from Seconds to Hours in Hodgkin-Huxley Model with Time-Dependent Ion Concentrations and Buffer Reservoirs. (2014). Hbel, Niklas ; Dahlem, Markus A.
    In: PLOS Computational Biology.
    RePEc:plo:pcbi00:1003941.

    Full description at Econpapers || Download paper

  20. Reconstructing Mammalian Sleep Dynamics with Data Assimilation. (2012). Schiff, Steven J ; Sedigh-Sarvestani, Madineh ; Gluckman, Bruce J.
    In: PLOS Computational Biology.
    RePEc:plo:pcbi00:1002788.

    Full description at Econpapers || Download paper

  21. Generalized Theorems for Nonlinear State Space Reconstruction. (2011). Sugihara, George ; Deyle, Ethan R.
    In: PLOS ONE.
    RePEc:plo:pone00:0018295.

    Full description at Econpapers || Download paper

  22. Data-directed modelling of Daphnia dynamics in a long-term micro-ecosystem experiment. (2009). Kersting, Kees ; Grasman, Johan ; van Nes, Egbert H.
    In: Ecological Modelling.
    RePEc:eee:ecomod:v:220:y:2009:i:3:p:343-350.

    Full description at Econpapers || Download paper

  23. Order in Spontaneous Behavior. (2007). Sugihara, George ; Hsieh, Chih-Hao ; Brembs, Bjorn ; Maye, Alexander.
    In: PLOS ONE.
    RePEc:plo:pone00:0000443.

    Full description at Econpapers || Download paper

  24. Testing a method for analyzing the effect of parameter change in climate driven ecological systems. (2007). de Gee, Maarten ; Grasman, Johan ; Moolenaar, Hanneke E ; Selten, Frank M.
    In: Ecological Modelling.
    RePEc:eee:ecomod:v:205:y:2007:i:3:p:289-300.

    Full description at Econpapers || Download paper

  25. North Pacific basin-scale differences in lower and higher trophic level marine ecosystem responses to climate impacts using a nutrient-phytoplankton–zooplankton model coupled to a fish bioenergetics model. (2007). Ito, Shin-Ichi ; Aita, Maki Noguchi ; Rose, Kenneth A ; Werner, Francisco E ; Hay, Douglas E ; Megrey, Bernard A ; Yamanaka, Yasuhiro.
    In: Ecological Modelling.
    RePEc:eee:ecomod:v:202:y:2007:i:1:p:196-210.

    Full description at Econpapers || Download paper

Coauthors

Authors registered in RePEc who have wrote about the same topic

Report date: 2025-10-05 21:01:08 || Missing content? Let us know

CitEc is a RePEc service, providing citation data for Economics since 2001. Last updated August, 3 2024. Contact: Jose Manuel Barrueco.