A system of metrics for the assessment and improvement of aquatic ecosystem models
暂无分享,去创建一个
George B. Arhonditsis | Lee de Mora | Jan H. Janse | Barbara J. Robson | Cayelan C. Carey | Gideon Gal | Matthew R. Hipsey | J. Alex Elliott | Marieke A. Frassl | M. Hipsey | C. Carey | L. Mora | J. Elliott | G. Arhonditsis | J. Janse | G. Gal | B. Robson | M. Frassl
[1] W. G. Sprules,et al. Omnivory and Food Chain Length in Zooplankton Food Webs , 1988 .
[2] Momme Butenschön,et al. Sensitivity of a marine coupled physical biogeochemical model to time resolution, integration scheme and time splitting method , 2012 .
[3] David P. Hamilton,et al. A community-based framework for aquatic ecosystem models , 2011, Hydrobiologia.
[4] D. Opdyke,et al. Hydrodynamics and Water Quality: Modeling Rivers, Lakes, and Estuaries , 2008 .
[5] M. Hipsey,et al. Intraguild Predation Dynamics in a Lake Ecosystem Based on a Coupled Hydrodynamic-Ecological Model: The Example of Lake Kinneret (Israel) , 2017, Biology.
[6] Christoph Lange,et al. Context-oriented model validation of individual-based models in ecology: A hierarchically structured approach to validate qualitative, compositional and quantitative characteristics , 2015 .
[7] John C Little,et al. Effect of hypolimnetic oxygenation on oxygen depletion rates in two water-supply reservoirs. , 2009, Water research.
[8] Gideon Gal,et al. Assessment and implementation of a methodological framework for sustainable management: Lake Kinneret as a case study. , 2012, Journal of environmental management.
[9] E. Fulton,et al. Ecological effects of trawling fisheries on the eastern Australian continental shelf: a modelling study , 2013 .
[10] David P. Hamilton,et al. Time-scale dependence in numerical simulations: Assessment of physical, chemical, and biological predictions in a stratified lake at temporal scales of hours to months , 2012, Environ. Model. Softw..
[11] Broder Breckling,et al. A spatiotemporal individual-based fish model to investigate emergent properties at the organismal and the population level , 2005 .
[12] Matthew J. Smith,et al. Emergent Global Patterns of Ecosystem Structure and Function from a Mechanistic General Ecosystem Model , 2014, PLoS biology.
[13] David P. Hamilton,et al. Physiology, Blooms and Prediction of Planktonic Cyanobacteria , 2012 .
[14] B. Satinsky,et al. Ocean biogeochemistry modeled with emergent trait-based genomics , 2017, Science.
[15] Xixi Lu,et al. A modelling approach to determine systematic nitrogen transformations in a tropical reservoir , 2016 .
[16] Meng Xia,et al. Modeling investigation of the nutrient and phytoplankton variability in the Chesapeake Bay outflow plume , 2018 .
[17] Charles M. Macal,et al. Lessons from a comprehensive validation of an agent based-model: The experience of the Pampas Model of Argentinean agricultural systems , 2014 .
[18] Mark E. Borsuk,et al. Comparison of Estuarine Water Quality Models for Total Maximum Daily Load Development in Neuse River Estuary , 2003 .
[19] Julian Icarus Allen,et al. Quantifying uncertainty in high-resolution coupled hydrodynamic-ecosystem models , 2007 .
[20] A. Wüest,et al. Evaluating oxygen fluxes using microprofiles from both sides of the sediment‐water interface , 2010 .
[21] Keith Beven,et al. Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology , 2001 .
[22] Nicole L. Goebel,et al. An emergent community ecosystem model applied to the California Current System , 2010 .
[23] Petra M. Kuhnert,et al. Physical‐statistical modelling , 2014 .
[24] Weitao Zhang,et al. Addressing equifinality and uncertainty in eutrophication models , 2008 .
[25] E. Jeppesen,et al. The Water Framework Directive: Setting the phosphorus loading target for a deep lake in Denmark using the 1D lake ecosystem model DYRESM–CAEDYM , 2008 .
[26] S. Lefebvre,et al. On the interest of using field primary production data to calibrate phytoplankton rate processes in ecosystem models , 2009 .
[27] Matthew R. Hipsey,et al. Implementation of ecological modeling as an effective management and investigation tool: Lake Kinneret as a case study , 2009 .
[28] Mark J. Brush,et al. A Reduced Complexity, Hybrid Empirical-Mechanistic Model of Eutrophication and Hypoxia in Shallow Marine Ecosystems , 2017 .
[29] B. Breckling,et al. Emergent properties in individual-based ecological models—introducing case studies in an ecosystem research context , 2005 .
[30] V. Christensen,et al. Hindcasting the dynamics of an Eastern Mediterranean marine ecosystem under the impacts of multiple stressors , 2016 .
[31] Craig A. Stow,et al. What has been accomplished twenty years after the Oreskes et al. (1994) critique? Current state and future perspectives of environmental modeling in the Great Lakes , 2014 .
[32] Jason S. Link,et al. Adding rigor to ecological network models by evaluating a set of pre-balance diagnostics: A plea for PREBAL , 2010 .
[33] A. Ménesguen,et al. A deterministic population dynamics model to study the distribution of a benthic bivalve with planktonic larvae (Paphia rhomboïdes) in the English Channel (NW Europe) , 2008 .
[34] M. Lomas,et al. Regional variation in the particulate organic carbon to nitrogen ratio in the surface ocean , 2013 .
[35] Jiangtao Xu,et al. Modeling biogeochemical cycles in Chesapeake Bay with a coupled physical biological model , 2006 .
[36] Lele Shu,et al. Integrating fast and slow processes is essential for simulating human–freshwater interactions , 2018, Ambio.
[37] David P. Hamilton,et al. Advancing projections of phytoplankton responses to climate change through ensemble modelling , 2014, Environ. Model. Softw..
[38] R. Hetland,et al. How does the character of oxygen demand control the structure of hypoxia on the Texas–Louisiana continental shelf? , 2008 .
[39] P. Reichert,et al. A comparison of techniques for the estimation of model prediction uncertainty , 1999 .
[40] Olof Bergstedt,et al. Hydrodynamic modelling of the microbial water quality in a drinking water source as input for risk reduction management , 2013 .
[41] T. Harmon,et al. Transverse spatiotemporal variability of lowland river properties and effects on metabolic rate estimates , 2014 .
[42] Robert J. W. Brewin,et al. A multicomponent model of phytoplankton size structure , 2014 .
[43] David P. Hamilton,et al. Challenges and opportunities for integrating lake ecosystem modelling approaches , 2010, Aquatic Ecology.
[44] Karen Wild-Allen,et al. Use of a high resolution 3D fully coupled hydrodynamic, sediment and biogeochemical model to understand estuarine nutrient dynamics under various water quality scenarios , 2013 .
[45] A. H. Murphy,et al. Skill Scores and Correlation Coefficients in Model Verification , 1989 .
[46] George B. Arhonditsis,et al. Modelling the role of highly unsaturated fatty acids in planktonic food web processes: Sensitivity analysis and examination of contemporary hypotheses , 2013, Ecol. Informatics.
[47] P. Doering,et al. Modeling ecosystem processes with variable freshwater inflow to the Caloosahatchee River Estuary, southwest Florida. I. Model development , 2014 .
[48] Stephen R. Carpenter,et al. Evaluation of metabolism models for free‐water dissolved oxygen methods in lakes , 2008 .
[49] Weitao Zhang,et al. Bayesian calibration of mechanistic aquatic biogeochemical models and benefits for environmental management , 2008 .
[50] Hervé Claustre,et al. Observing the Global Ocean with Biogeochemical-Argo. , 2020, Annual review of marine science.
[51] David P. Hamilton,et al. Ten steps applied to development and evaluation of process-based biogeochemical models of estuaries , 2008, Environ. Model. Softw..
[52] L. Rudstam,et al. Predicting Mysis relicta vertical distribution in Lake Ontario , 2004 .
[53] C. Alewell,et al. Use of objective criteria for the assessment of biogeochemical ecosystem models , 1998 .
[54] Serghei A. Bocaniov,et al. The nearshore shunt and the decline of the phytoplankton spring bloom in the Laurentian Great Lakes: insights from a three-dimensional lake model , 2013, Hydrobiologia.
[55] Janaine Z. Coletti,et al. Water management can reinforce plant competition in salt-affected semi-arid wetlands. , 2017 .
[56] David P. Hamilton,et al. A short review of contemporary developments in aquatic ecosystem modelling of lakes and reservoirs , 2019, Environ. Model. Softw..
[57] Francisco J. Rueda,et al. Modelling the fate and transport of negatively buoyant storm-river water in small multi-basin lakes , 2010, Environ. Model. Softw..
[58] David Hamilton,et al. Coupling high-resolution measurements to a three-dimensional lake model to assess the spatial and temporal dynamics of the cyanobacterium Planktothrix rubescens in a medium-sized lake , 2012, Hydrobiologia.
[59] Barbara J. Robson,et al. Remote-sensing reflectance and true colour produced by a coupled hydrodynamic, optical, sediment, biogeochemical model of the Great Barrier Reef, Australia: Comparison with satellite data , 2016, Environ. Model. Softw..
[60] Francisco E. Werner,et al. A bioenergetics-based population dynamics model of Pacific herring (Clupea harengus pallasi) coupled to a lower trophic level nutrient-phytoplankton-zooplankton model: Description, calibration, and sensitivity analysis , 2007 .
[61] I. Webster,et al. An analysis of primary production in the Daly River, a relatively unimpacted tropical river in northern Australia , 2005 .
[62] David P. Hamilton,et al. A numerical simulation of the role of zooplankton in C, N and P cycling in Lake Kinneret, Israel , 2006 .
[63] David N. Bonter,et al. Citizen Science as an Ecological Research Tool: Challenges and Benefits , 2010 .
[64] Geir Huse,et al. End-To-End Models for the Analysis of Marine Ecosystems: Challenges, Issues, and Next Steps , 2010 .
[65] Grace S. Chiu,et al. Statistical inference for food webs with emphasis on ecological networks via Bayesian melding , 2010 .
[66] Christopher J. Madden,et al. Modeling of HABs and eutrophication: Status, advances, challenges , 2010 .
[67] S. Higgins,et al. Modeling the Growth, Biomass, and Tissue Phosphorus Concentration of Cladophora glomerata in Eastern Lake Erie: Model Description and Field Testing , 2005 .
[68] T. R. Anderson,et al. Dysfunctionality in ecosystem models: an underrated pitfall? , 2010 .
[69] Matthew R. Hipsey,et al. An analysis of the relationship between phytoplankton internal stoichiometry and water column N:P ratios in a dynamic lake environment , 2013 .
[70] David P. Hamilton,et al. Modelling the effects of Po River discharge, internal nutrient cycling and hydrodynamics on biogeochemistry of the Northern Adriatic Sea , 2007 .
[71] Johanna J. Heymans,et al. Modeling the role and impact of alien species and fisheries on the Israeli marine continental shelf ecosystem , 2017 .
[72] K. R. Douglas-Mankin,et al. Evaluating, interpreting, and communicating performance of hydrologic/water quality models considering intended use: A review and recommendations , 2014, Environ. Model. Softw..
[73] Ming Li,et al. What drives interannual variability of hypoxia in Chesapeake Bay: Climate forcing versus nutrient loading? , 2016 .
[74] I. Webster,et al. Metabolism in a groundwater-fed river system in the Australian wet/dry tropics: tight coupling of photosynthesis and respiration , 2011, Journal of the North American Benthological Society.
[75] S. Sathyendranath,et al. The influence of the Indian Ocean Dipole on interannual variations in phytoplankton size structure as revealed by Earth Observation , 2012 .
[76] D. Acreman,et al. The use of Argo for validation and tuning of mixed layer models , 2007 .
[77] C. Bacher,et al. Modelling the spatial heterogeneity of ecological processes in an intertidal estuarine bay: dynamic interactions between bivalves and phytoplankton , 2010 .
[78] Barbara J. Robson,et al. Prediction of sediment, particulate nutrient and dissolved nutrient concentrations in a dry tropical river to provide input to a mechanistic coastal water quality model , 2015, Environ. Model. Softw..
[79] D. Brigolin,et al. An individual-based population dynamic model for estimating biomass yield and nutrient fluxes through an off-shore mussel (Mytilus galloprovincialis) farm. , 2009 .
[80] Michael Rode,et al. New challenges in integrated water quality modelling , 2010 .
[81] Jörg Imberger,et al. Phytoplankton patchiness and their role in the modelled productivity of a large, seasonally stratified lake , 2008 .
[82] Johanna J. Heymans,et al. Best practice in Ecopath with Ecosim food-web models for ecosystem-based management , 2016 .
[83] P. Reichert,et al. Modelling functional groups of phytoplankton in three lakes of different trophic state , 2008 .
[84] Timothy O’Connor,et al. EMERGENT PROPERTIES , 2021 .
[85] Yoshiyuki Nakamura,et al. A benthic–pelagic coupled ecosystem model to estimate the hypoxic estuary including tidal flat—Model description and validation of seasonal/daily dynamics , 2008 .
[86] M. Hipsey,et al. Assessing artificial oxygenation in a riverine salt-wedge estuary with a three-dimensional finite-volume model , 2018, Ecological Engineering.
[87] Mark J. Brush,et al. Modeling phytoplankton production: problems with the Eppley curve and an empirical alternative , 2002 .
[88] M. Charette,et al. Determination of water mass ages using radium isotopes as tracers: Implications for phytoplankton dynamics in estuaries , 2013 .
[89] John Parslow,et al. Bayesian learning and predictability in a stochastic nonlinear dynamical model. , 2012, Ecological applications : a publication of the Ecological Society of America.
[90] Mark E. Borsuk,et al. Approaches to Evaluate Water Quality Model Parameter Uncertainty for Adaptive TMDL Implementation1 , 2007 .
[91] J. Imberger,et al. Modeling basin‐scale internal waves in a stratified lake , 2000 .
[92] Charles Gobeil,et al. Non-steady state modeling of arsenic diagenesis in lake sediments. , 2010, Environmental science & technology.
[93] Peter Franks,et al. Planktonic ecosystem models: perplexing parameterizations and a failure to fail , 2009 .
[94] T. Pedersen,et al. Trophic studies in a high-latitude fjord ecosystem — a comparison of stable isotope analyses (δ13C and δ15N) and trophic-level estimates from a mass-balance model , 2008 .
[95] Christian Lindemann,et al. Challenges in integrative approaches to modelling the marine ecosystems of the North Atlantic: Physics to fish and coasts to ocean , 2014 .
[96] M. Bourne. Perspectives on Performance , 2015 .
[97] Ian Teakle,et al. Hydrodynamic controls on oxygen dynamics in a riverine salt wedge estuary, the Yarra River estuary, Australia , 2014 .
[98] Matthew R. Hipsey,et al. Sediment diagenesis models: Review of approaches, challenges and opportunities , 2014, Environ. Model. Softw..
[99] M. Herzfeld,et al. Simulated fate of catchment-derived sediment on the Great Barrier Reef shelf. , 2018, Marine pollution bulletin.
[100] Karsten Bolding,et al. A general framework for aquatic biogeochemical models , 2014, Environ. Model. Softw..
[102] M. V. Vander Zanden,et al. Patterns of Food Chain Length in Lakes: A Stable Isotope Study , 1999, The American Naturalist.
[103] Y. Yamanaka,et al. Synoptic relationships between surface Chlorophyll- a and diagnostic pigments specific to phytoplankton functional types , 2011 .
[104] M. Hipsey,et al. An integrated modelling system for water quality forecasting in an urban eutrophic estuary: The Swan-Canning Estuary virtual observatory , 2019, Journal of Marine Systems.
[105] A. Tengberg,et al. Precise continuous measurements of pelagic respiration in coastal waters with Oxygen Optodes , 2013 .
[106] Robert R. Christian,et al. Evaluation of ecological network analysis : Validation of output , 2008 .
[107] J. Lovell,et al. Use of remote-sensing reflectance to constrain a data assimilating marine biogeochemical model of the Great Barrier Reef , 2016 .
[108] Matthew R. Hipsey,et al. The influence of physical and physiological processes on the spatial heterogeneity of a Microcystis bloom in a stratified reservoir , 2014 .
[109] D. Straile,et al. INTERPLAY BETWEEN ENERGY LIMITATION AND NUTRITIONAL DEFICIENCY: EMPIRICAL DATA AND FOOD WEB MODELS , 2002 .
[110] M. Hipsey,et al. Estuaries as Sources and Sinks of N2O Across a Land Use Gradient in Subtropical Australia , 2018 .
[111] George B. Arhonditsis,et al. Towards evidence-based parameter values and priors for aquatic ecosystem modelling , 2018, Environ. Model. Softw..
[112] Alon Rimmer,et al. A comprehensive study across methods and time scales to estimate surface fluxes from Lake Kinneret, Israel. , 2009 .
[113] Kenneth H. Reckhow,et al. Engineering approaches for lake management , 1983 .
[114] David P. Hamilton,et al. A Global Lake Ecological Observatory Network (GLEON) for synthesising high-frequency sensor data for validation of deterministic ecological models , 2015 .
[115] Ryan Alexander,et al. Spatial distribution of motile phytoplankton in a stratified reservoir: the physical controls on patch formation , 2008 .
[116] Mike Herzfeld,et al. Emulator-assisted data assimilation in complex models , 2016, Ocean Dynamics.
[117] Bruce A. Robinson,et al. Treatment of uncertainty using ensemble methods: Comparison of sequential data assimilation and Bayesian model averaging , 2007 .
[118] Matthew R. Hipsey,et al. Examination of the role of the microbial loop in regulating lake nutrient stoichiometry and phytoplankton dynamics , 2014 .
[119] Craig A. Stow,et al. Eutrophication risk assessment using Bayesian calibration of process-based models : application to a mesotrophic lake , 2007 .
[120] J. Tintoré,et al. Modelling the deep-chlorophyll maximum : a coupled physical-biological approach , 1992 .
[121] E. Berdalet,et al. Ability of a "minimum" microbial food web model to reproduce response patterns observed in mesocosms manipulated with N and P, glucose, and Si , 2007 .
[122] S. Carpenter,et al. Early-warning signals for critical transitions , 2009, Nature.
[123] Ming Li,et al. Modeling Physical and Biogeochemical Controls on Dissolved Oxygen in Chesapeake Bay: Lessons Learned from Simple and Complex Approaches , 2017 .
[124] Scott W Olesen,et al. Dynamics of microbial populations mediating biogeochemical cycling in a freshwater lake , 2018, Microbiome.
[125] Michael Power,et al. The predictive validation of ecological and environmental models , 1993 .
[126] W. Gentleman. A chronology of plankton dynamics in silico: how computer models have been used to study marine ecosystems , 2002, Hydrobiologia.
[127] Michael Rode,et al. Sensors in the Stream: The High-Frequency Wave of the Present. , 2016, Environmental science & technology.
[128] M. Schallenberg,et al. Application of a numerical model to predict impacts of climate change on water temperatures in two deep, oligotrophic lakes in New Zealand , 2013, Hydrobiologia.
[129] Nicholas Kouwen,et al. Towards hydrological model calibration and validation: simulation of stable water isotopes using the isoWATFLOOD model , 2013 .
[130] Jordan S. Read,et al. LakeMetabolizer: an R package for estimating lake metabolism from free-water oxygen using diverse statistical models , 2016 .
[131] Tom Aldenberg,et al. Fitting the dynamic model PCLake to a multi-lake survey through Bayesian Statistics , 1995 .
[132] J. Kindle,et al. Summary diagrams for coupled hydrodynamic-ecosystem model skill assessment , 2009 .
[133] Joseph H. A. Guillaume,et al. Characterising performance of environmental models , 2013, Environ. Model. Softw..
[134] D. Kirk Nordstrom,et al. Models, validation, and applied geochemistry: Issues in science, communication, and philosophy , 2012 .
[135] R. Strawderman,et al. Bayesian estimation of input parameters of a nitrogen cycle model applied to a forested reference watershed, Hubbard Brook Watershed Six , 2005 .
[136] Robert F. Chen,et al. Caffeine in Boston Harbor past and present, assessing its utility as a tracer of wastewater contamination in an urban estuary. , 2016, Marine pollution bulletin.
[137] Francisco J. Rueda,et al. A calibration strategy for dynamic succession models including several phytoplankton groups , 2011, Environ. Model. Softw..
[138] D. Krause‐Jensen,et al. Predictive modelling of eelgrass (Zostera marina) depth limits , 2005 .
[139] Peter Reichert,et al. Calibration of computationally demanding and structurally uncertain models with an application to a lake water quality model , 2012, Environ. Model. Softw..
[140] H. Washington,et al. Diversity, biotic and similarity indices: A review with special relevance to aquatic ecosystems , 1984 .
[141] N Oreskes,et al. Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences , 1994, Science.
[142] D. Post. USING STABLE ISOTOPES TO ESTIMATE TROPHIC POSITION: MODELS, METHODS, AND ASSUMPTIONS , 2002 .
[143] Jeroen Steenbeek,et al. A protocol for the intercomparison of marine fishery and ecosystem models : Fish-MIP v1.0 , 2017 .
[144] M. Scheffer,et al. Robustness of variance and autocorrelation as indicators of critical slowing down. , 2012, Ecology.
[145] Serghei A. Bocaniov,et al. Simulating the effect of nutrient reduction on hypoxia in a large lake (Lake Erie, USA-Canada) with a three-dimensional lake model , 2016 .
[146] M. Follows,et al. When everything is not everywhere but species evolve: an alternative method to model adaptive properties of marine ecosystems , 2014, Journal of plankton research.
[147] H. Fort,et al. Use of a morphology‐based functional approach to model phytoplankton community succession in a shallow subtropical lake , 2013 .
[148] C. Edwards,et al. A high-resolution biogeochemical model (ROMS 3.4 + bio_Fennel) of the East Australian Current system , 2018, Geoscientific Model Development.
[149] Jan H. Janse,et al. Food-web stability signals critical transitions in temperate shallow lakes , 2015, Nature Communications.
[150] R. E. Uittenbogaard,et al. Modeling the interaction between flow and highly flexible aquatic vegetation , 2010 .
[151] M. Hipsey,et al. Wind and buoyancy driven horizontal exchange in shallow embayments of a tropical reservoir: Lake Argyle, Western Australia , 2017 .
[152] M. B. Beck,et al. Water quality modeling: A review of the analysis of uncertainty , 1987 .
[153] Michael Renton,et al. Modelling seagrass growth and development to evaluate transplanting strategies for restoration. , 2011, Annals of botany.
[154] Pierre Petitgas,et al. Selection and validation of a complex fishery model using an uncertainty hierarchy , 2013 .
[155] Elizabeth A. Fulton,et al. Approaches to end-to-end ecosystem models , 2010 .
[156] C. Hearn,et al. Modelling a bottom diurnal boundary layer and its control of massive alga blooms in an estuary , 2000 .
[157] Barbara J. Robson,et al. State of the art in modelling of phosphorus in aquatic systems: Review, criticisms and commentary , 2014, Environ. Model. Softw..
[158] Elizabeth A. Fulton,et al. Biogeochemical marine ecosystem models I: IGBEM—a model of marine bay ecosystems , 2004 .
[159] Kerim Aydin,et al. Construction kits or virtual worlds; Management applications of E2E models , 2013 .
[160] T. Miyajima,et al. Modeling phytoplankton production in Ise Bay, Japan: Use of nitrogen isotopes to identify dissolved inorganic nitrogen sources , 2010 .
[161] J. Sainte-Marie,et al. Phytoplankton growth formulation in marine ecosystem models: should we take into account photo-acclimation and variable stoichiometry in oligotrophic areas? , 2013 .
[162] Yafei Jia,et al. Numerical modeling of water quality and sediment related processes , 2007 .
[163] E. Koch,et al. A nearshore model to investigate the effects of seagrass bed geometry on wave attenuation and suspended sediment transport , 2007 .
[164] T. Oke,et al. The depth of the daytime mixed layer at two coastal sites: A model and its validation , 1982 .
[165] Thomas R. Anderson,et al. Influence of grazing formulations on the emergent properties of a complex ecosystem model in a global ocean general circulation model , 2010 .
[166] Colin S. Reynolds,et al. Complexity and emergent properties in aquatic ecosystems: predictability of ecosystem responses , 2012 .
[167] S. Sorooshian,et al. Investigating the impact of remotely sensed precipitation and hydrologic model uncertainties on the ensemble streamflow forecasting , 2006 .
[168] C. Bacher,et al. Modelling the influence of environmental factors on the physiological status of the Pacific oyster Crassostrea gigas in an estuarine embayment; The Baie des Veys (France) , 2009 .
[169] Richard G. Jones,et al. Combining a regional climate model with a phytoplankton community model to predict future changes in phytoplankton in lakes , 2005 .
[170] Corinne Le Quéré,et al. Comparing food web structures and dynamics across a suite of global marine ecosystem models , 2012 .
[171] Marten Scheffer,et al. Critical phosphorus loading of different types of shallow lakes and the consequences for management estimated with the ecosystem model PCLake , 2008 .
[172] P. Gutman,et al. Improving the estimation of Lake Kinneret's heat balance and surface fluxes using the Kalman Filter algorithm , 2017 .
[173] I. Klimant,et al. Oxygen optodes as fast sensors for eddy correlation measurements in aquatic systems , 2012 .
[174] Microscale patchiness leads to large and important intraspecific internal nutrient heterogeneity in phytoplankton , 2012, Aquatic Ecology.
[175] Jeroen Steenbeek,et al. Standardized ecological indicators to assess aquatic food webs: The ECOIND software plug-in for Ecopath with Ecosim models , 2017, Environ. Model. Softw..
[176] Lei Dai,et al. Generic Indicators for Loss of Resilience Before a Tipping Point Leading to Population Collapse , 2012, Science.
[177] Kenneth H. Reckhow,et al. Engineering Approaches for Lake Management, Volume 1: Data Analysis and Empirical Modeling , 1982 .
[178] Luuk P. A. van Gerven,et al. Serving many at once: How a database approach can create unity in dynamical ecosystem modelling , 2014, Environ. Model. Softw..
[179] M. Hipsey,et al. In situ Evidence for the Association of Total Coliforms and Escherichia coli with Suspended Inorganic Particles in an Australian Reservoir , 2006 .
[180] A. Visser,et al. Modelling emergent trophic strategies in plankton , 2015 .
[181] J. Rasmussen,et al. Comparison of aquatic food chains using nitrogen isotopes. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[182] W. E. Bardsley. A goodness of fit measure related to r2 for model performance assessment , 2013 .
[183] David P. Hamilton,et al. Temporal and spatial variations in phytoplankton productivity in surface waters of a warm-temperate, monomictic lake in New Zealand , 2010, Hydrobiologia.
[184] Matthew R. Hipsey,et al. Stable isotopes reduce parameter uncertainty of an estuarine carbon cycling model , 2016, Environ. Model. Softw..
[185] Karsten Rinke,et al. Algal internal nutrient stores feedback on vertical phosphorus distribution in large lakes , 2014 .
[186] Donald C. Pierson,et al. Comparing ice and temperature simulations by four dynamic lake models in Harp Lake: past performance and future predictions , 2014 .
[187] D. Av I,et al. Earlier onset of the spring phytoplankton bloom in lakes of the temperate zone in a warmer climate , 2007 .
[188] Mike T. Furse,et al. Biological assessment of river quality: development of AUSRIVAS models and outputs. , 2000 .
[189] Jason P. Antenucci,et al. A three dimensional model of Cryptosporidium dynamics in lakes and reservoirs: A new tool for risk management , 2004 .
[190] Andrew J. Watson,et al. Ecosystem dynamics based on plankton functional types for global ocean biogeochemistry models , 2005 .
[191] Matthew R. Hipsey,et al. Exploring the role of fish in a lake ecosystem (Lake Kinneret, Israel) by coupling an individual-based fish population model to a dynamic ecosystem model , 2011 .
[192] Matthew P. Adams,et al. A biophysical representation of seagrass growth for application in a complex shallow-water biogeochemical model , 2016 .
[193] Y. Chien,et al. Model Simulation of Diurnal Vertical Migration Patterns of Different-Sized Colonies of Microcystis Employing a Particle Trajectory Approach. , 2013, Environmental engineering science.
[194] Baris Salihoglu,et al. Bridging Marine Ecosystem and Biogeochemistry Research: Lessons and Recommendations from Comparative Studies , 2013 .
[195] C. Stow,et al. Skill Assessment for Coupled Biological/Physical Models of Marine Systems. , 2009, Journal of marine systems : journal of the European Association of Marine Sciences and Techniques.
[196] Matthew P. Adams,et al. Seagrass ecosystem trajectory depends on the relative timescales of resistance, recovery and disturbance. , 2017, Marine pollution bulletin.
[197] W. Mooij,et al. Integrated ecological and chemical food web accumulation modeling explains PAH temporal trends during regime shifts in a shallow lake. , 2017, Water research.
[198] F. Dumas,et al. Ecological model of the Bay of Biscay and English Channel shelf for environmental status assessment part 1: Nutrients, phytoplankton and oxygen , 2019, Ocean Modelling.
[199] D. DeAngelis,et al. A Generically Parameterized model of Lake eutrophication (GPLake) that links field-, lab- and model-based knowledge. , 2019, The Science of the total environment.
[200] G. Arhonditsis,et al. Modelling the role of highly unsaturated fatty acids in planktonic food web processes: a mechanistic approach , 2012 .
[201] W. Long,et al. Estuarine Sediment Dissolved Organic Matter Dynamics in an Enhanced Sediment Flux Model , 2017 .
[202] Trevor Platt,et al. A three component classification of phytoplankton absorption spectra: Application to ocean-color data , 2011 .
[203] Greg Reed. Ocean Data Portal: A Standards Approach to Data Access and Dissemination , 2010 .
[204] P. Reichert,et al. Effects of changes in the driving forces on water quality and plankton dynamics in three Swiss lakes - long-term simulations with BELAMO , 2013 .
[205] F. Peeters,et al. Comparison of results from two 3D hydrodynamic models with field data: internal seiches and horizontal currents , 2019, Inland Waters.
[206] David P. Hamilton,et al. A spatially resolved model of seasonal variations in phytoplankton and clam (Tapes philippinarum) biomass in Barbamarco Lagoon, Italy , 2008 .
[207] Taro Takahashi,et al. Skill metrics for confronting global upper ocean ecosystem-biogeochemistry models against field and remote sensing data , 2009 .
[208] Matthew R. Hipsey,et al. The role of bioirrigation in sediment phosphorus dynamics and blooms of toxic cyanobacteria in a temperate lagoon , 2016, Environ. Model. Softw..
[209] Craig A. Stow,et al. Evaluation of the current state of mechanistic aquatic biogeochemical modeling: citation analysis and future perspectives. , 2006 .
[210] F. Wilkerson,et al. The use of 15N to measure nitrogen uptake in eutrophic oceans; experimental considerations1,2 , 1986 .
[211] Jason P. Antenucci,et al. Physical controls on the spatial evolution of a dinoflagellate bloom in a large lake , 2011 .
[212] K. Rinke,et al. Opportunities and Limits of Using Meteorological Reanalysis Data for Simulating Seasonal to Sub-Daily Water Temperature Dynamics in a Large Shallow Lake , 2018 .
[213] Masahiko Fujii,et al. The Value of Adding Optics to Ecosystem Models: A Case Study , 2007 .
[214] A. Morozov,et al. Emergence of Holling type III zooplankton functional response: bringing together field evidence and mathematical modelling. , 2010, Journal of theoretical biology.
[215] M. Schmid,et al. Role of gas ebullition in the methane budget of a deep subtropical lake: What can we learn from process‐based modeling? , 2017 .
[216] David P. Hamilton,et al. A General Lake Model (GLM 3.0) for linking with high-frequency sensor data from the Global Lake Ecological Observatory Network (GLEON) , 2019, Geoscientific Model Development.
[217] Cheng-Chien Liu,et al. A Multi-Sensor Approach to Examining the Distribution of Total Suspended Matter (TSM) in the Albemarle-Pamlico Estuarine System, NC, USA , 2011, Remote. Sens..
[218] P. Nienhuis. A simulation model of production, seasonal changes in biomass and distribution of eelgrass (Zostera marina) in Lake Grevelingen , 1982, Hydrobiological Bulletin.
[219] Thierry Hoch,et al. Two- or three-layered box-models versus fine 3D models for coastal ecological modelling? A comparative study in the English Channel (Western Europe) , 2007 .
[220] W. Boynton,et al. Sediment flux modeling: Calibration and application for coastal systems , 2013 .
[221] S. Duhamel,et al. Variable phosphorus uptake rates and allocation across microbial groups in the oligotrophic Gulf of Mexico. , 2015, Environmental microbiology.
[222] Tony J. Pitcher,et al. Modifying Kempton's species diversity index for use with ecosystem simulation models , 2006 .
[223] W. Cai,et al. Controls on Carbonate System Dynamics in a Coastal Plain Estuary: A Modeling Study , 2019, Journal of Geophysical Research: Biogeosciences.
[224] Karline Soetaert,et al. Model complexity and performance: How far can we simplify? , 2006 .
[225] Barbara J. Robson,et al. When do aquatic systems models provide useful predictions, what is changing, and what is next? , 2014, Environ. Model. Softw..
[226] Li Li,et al. Pattern formation in a spatial plant-wrack model with tide effect on the wrack , 2009, Journal of biological physics.
[227] J. Elliott,et al. Testing the Sensitivity of Phytoplankton Communities to Changes in Water Temperature and Nutrient Load, in a Temperate Lake , 2006, Hydrobiologia.
[228] Momme Butenschön,et al. Wavelet-based spatial comparison technique for analysing and evaluating two-dimensional geophysical model fields , 2011 .
[229] C. M. Cooper,et al. Three-dimensional numerical simulation of water quality and sediment-associated processes with application to a Mississippi Delta lake. , 2010, Journal of environmental management.
[230] A. E. Irish,et al. Modelling freshwater phytoplankton communities: an exercise in validation , 2000 .
[231] David P. Hamilton,et al. Predicting the resilience and recovery of aquatic systems: A framework for model evolution within environmental observatories , 2015 .
[232] Yasuhiro Yamanaka,et al. Simulated herring growth responses in the Northeastern Pacific to historic temperature and zooplankton conditions generated by the 3-dimensional NEMURO nutrient-phytoplankton-zooplankton model , 2007 .
[233] Jacco C. Kromkamp,et al. A computer model of buoyancy and vertical migration in cyanobacteria , 1990 .
[234] Momme Butenschön,et al. The assessment of a global marine ecosystem model on the basis of emergent properties and ecosystem function: a case study with ERSEM , 2016 .
[235] A. Foveau,et al. A coupled biophysical model for the distribution of the great scallop Pecten maximus in the English Channel , 2017 .
[236] R. Hetland,et al. Skill assessment of a hydrodynamic model of circulation over the Texas-Louisiana continental shelf , 2012 .
[237] J. Middelburg,et al. Isotope data improve the predictive capabilities of a marine biogeochemical model , 2012 .
[238] George B. Arhonditsis,et al. Exploring, exploiting and evolving diversity of aquatic ecosystem models: a community perspective , 2015, Aquatic Ecology.
[239] George B. Arhonditsis,et al. Bayesian calibration of mathematical models: Optimization of model structure and examination of the role of process error covariance , 2013, Ecol. Informatics.
[240] S. Condie,et al. Numerical modelling of the suspended sediment transport in Torres Strait , 2008 .
[241] A. Ménesguen,et al. Biogeochemical modelling in the Bay of Seine (France): an improvement by introducing phosphorus in nutrient cycles , 2000 .
[242] David P. Hamilton,et al. Predicting the effects of climate change on trophic status of three morphologically varying lakes: Implications for lake restoration and management , 2011, Environ. Model. Softw..
[243] Anna Rigosi,et al. State-of-the-art and recent progress in phytoplankton succession modelling , 2010 .
[244] Lisa M. Clough,et al. Using stable isotope analysis to validate effective trophic levels from Ecopath models of areas closed and open to shrimp trawling in Core Sound, NC, USA , 2014 .
[245] Jörg Müller,et al. Assessing resilience in long-term ecological data sets , 2016 .
[246] David P. Hamilton,et al. Impacts of hydrological changes on phytoplankton succession in the Swan River, Western Australia , 2002 .
[247] K. Flynn,et al. Accounting for variation in prey selectivity by zooplankton , 2006 .
[248] K. Taylor. Summarizing multiple aspects of model performance in a single diagram , 2001 .
[249] Dong‐Kyun Kim,et al. A commentary on the modelling of the causal linkages among nutrient loading, harmful algal blooms, and hypoxia patterns in Lake Erie , 2014 .
[250] Matthew R. Hipsey,et al. A three-dimensional hydro-geochemical model to assess lake acidification risk , 2014, Environmental Modelling & Software.
[251] Vittorio E. Brando,et al. Satellite data assimilation and estimation of a 3D coastal sediment transport model using error-subspace emulators , 2013, Environ. Model. Softw..
[252] Cayelan C. Carey,et al. Using wavelet analyses to examine variability in phytoplankton seasonal succession and annual periodicity , 2016 .
[253] S. Carpenter,et al. Methods for Detecting Early Warnings of Critical Transitions in Time Series Illustrated Using Simulated Ecological Data , 2012, PloS one.
[254] Cecelia DeLuca,et al. Toward self-describing and workflow integrated Earth system models: A coupled atmosphere-ocean modeling system application , 2013, Environ. Model. Softw..
[255] Emlyn M. Jones,et al. Analysing coastal ocean model outputs using competitive-learning pattern recognition techniques , 2014, Environ. Model. Softw..
[256] I. Ostrovsky,et al. Sedimentation flux in a large subtropical lake: Spatiotemporal variations and relation to primary productivity , 2010 .
[257] Jason P. Antenucci,et al. A generic, process‐based model of microbial pollution in aquatic systems , 2008 .
[258] R. Wetzel,et al. Modeling submersed macrophyte growth in relation to underwater light climate: modeling approaches and application potential , 2001, Hydrobiologia.
[259] Corinne Le Quéré,et al. iMarNet: an ocean biogeochemistry model intercomparison project within a common physical ocean modelling framework , 2014 .
[260] G. Schernewski,et al. Eutrophication in the Baltic Sea and shifts in nitrogen fixation analyzed with a 3D ecosystem model , 2008 .
[261] Jordan S. Read,et al. Meteorological drivers of hypolimnetic anoxia in a eutrophic, north temperate lake , 2017 .
[262] Heikki Haario,et al. Getting the “right” parameter values for models of the pelagic microbial food web , 2013 .
[263] B. Halling‐Sørensen,et al. Modelling the fate of dioxins in a trophic network by coupling an ecotoxicological and an Ecopath model , 2000 .
[264] Miki Hondzo,et al. Evaluation and application of a three-dimensional water quality model in a shallow lake with complex morphometry , 2010 .
[265] David M. Karl,et al. VERTEX: carbon cycling in the northeast Pacific , 1987 .
[266] Matthew P. Adams,et al. Feedback between sediment and light for seagrass: Where is it important? , 2016 .
[267] Kenneth S. Johnson,et al. Mapping the spatial variability of plankton metabolism using nitrate and oxygen sensors on an autonomous underwater vehicle , 2008 .
[268] S. Ciavatta,et al. Modelling dissolved oxygen and benthic algae dynamics in a coastal ecosystem by exploiting real-time monitoring data , 2013 .
[269] K. Mulder,et al. Organismal stoichiometry and the adaptive advantage of variable nutrient use and production efficiency in Daphnia , 2007 .
[270] Hong Li,et al. Revealing spatial pattern dynamics in aquatic ecosystem modelling with Multi-Agent Systems in Lake Veluwe , 2010, Ecol. Informatics.
[271] Michele Scardi,et al. Challenges of modeling depth‐integrated marine primary productivity over multiple decades: A case study at BATS and HOT , 2010 .
[272] Marten Scheffer,et al. Estimating the critical phosphorus loading of shallow lakes with the ecosystem model PCLake: Sensitivity, calibration and uncertainty , 2010 .
[273] M. Hipsey,et al. Quantifying Lake Water Quality Evolution: Coupled Geochemistry, Hydrodynamics, and Aquatic Ecology in an Acidic Pit Lake. , 2017, Environmental science & technology.
[274] D. Capone,et al. Modeling the distribution of Trichodesmium and nitrogen fixation in the Atlantic Ocean , 2004 .
[275] Sylvie Thiria,et al. Reconstruction of satellite chlorophyll images under heavy cloud coverage using a neural classification method , 2013 .
[276] Thomas R. Anderson,et al. Comparison of the emergent behavior of a complex ecosystem model in two ocean general circulation models , 2010 .
[277] Pasi Pohjola,et al. Perspectives to Performance of Environment and Health Assessments and Models—From Outputs to Outcomes? , 2013, International journal of environmental research and public health.
[278] B. Robson. A Dynamic Model of Primary Production and Plant Coverage in an Oligotrophic Tropical River , 2010 .
[279] Kevin J. Flynn,et al. Castles built on sand : dysfunctionality in plankton models and the inadequacy of dialogue between biologists and modellers , 2005 .
[280] Julian Icarus Allen,et al. How should sparse marine in situ measurements be compared to a continuous model: an example , 2013 .
[281] M. Katz. Validation of models , 2006 .
[282] Steven C. Chapra,et al. Numerical Methods for Engineers , 1986 .
[283] David P. Hamilton,et al. A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network , 2018, Environ. Model. Softw..
[284] J. Nash,et al. River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .
[285] George B. Arhonditsis,et al. A Bayesian synthesis of predictions from different models for setting water quality criteria , 2012 .
[286] Friedrich Recknagel,et al. Model ensemble for the simulation of plankton community dynamics of Lake Kinneret (Israel) induced from in situ predictor variables by evolutionary computation , 2014, Environ. Model. Softw..
[287] Corinne Le Quéré,et al. iMarNet : an ocean biogeochemistry model intercomparison project within a common physical ocean modelling framework , 2014 .
[288] C. Reynolds. The Ecology of Phytoplankton , 2006 .
[289] Irena F. Creed,et al. Frequent regime shifts in trophic states in shallow lakes on the Boreal Plain: Alternative "unstable" states? , 2007 .
[290] B. Eyre,et al. A comparative study of nutrient behavior along the salinity Gradient of tropical and temperate estuaries , 1999 .