Journal ArticleDOI
Environmental Modelling: Finding Simplicity in Complexity
John Wainwright,Mark Mulligan +1 more
TLDR
Wainwright et al. as discussed by the authors presented a survey of the state of the art in environmental modelling. But their focus was on modelling human decision making and not on modelling land use change.Abstract:
Preface. List of Figures. List of Tables. Introduction (John Wainwright and Mark Mulligan). Part I: Modelling and Model Building. 1 Modelling and Model Building (Mark Mulligan and John Wainwright ). Part II: The State of the Art in Environmental Modelling. 2 Climate and Climate-System Modelling (L. D. Danny Harvey). 3 Soil and Hillslope Hydrology (Andrew Baird). 4 ModellingCatchment Hydrology (Mark Mulligan). 5 Modelling Fluvial Processes and Interactions (Katerina Michaelides and John Wainwright). 6 Modelling the Ecology of Plants (Colin P. Osbourne). 7 Spatial Population Models for Animals (George L. W. Perry and Nick R. Bond). 8 Ecosystem Modelling: Vegetation and Disturbance (Stefano Mazzoleni, Francisco Rego, Francesco Giannino and Colin Legg). 9 Erosion and Sediment Transport (John N. Quinton). 10 Modelling Slope Instability (Andrew Collison and James Griffiths). 11 Finding simplicity in complexity in biogeochemical modelling (Harald Sverdrup and Hordur Haraldsson). 12 Modelling human decision making (John Wainwright and Mark Mulligan). 13 Modelling land-use change (Eric F. Lambin). Part III: Models for Management. 14 Models in Policy Formulation and Assessment: The WADBOS decision support system (Guy Engelen). 15 Decision Support Systems for Managing Water Resources (Sophia Burke). 16 Soil Erosion and Conservation (Mark A. Nearing). 17 Modelling in Forest Management (Mark J. Twery). 18 Stability and Instability in the Management of Mediterranean Desertification (John B. Thornes). Part IV: Current and Future Developments. 19 Scaling Issues in Environmental Modelling (Xiaoyang Zhang, Nick A. Drake and John Wainwright). 20 Environmental Applications of Computational Fluid Dynamics (Nigel G. Wright and Chris J. Baker). 21 Self-Organization and Cellular Automata Models (David Favis-Mortlock). 22 Data-Based Mechanistic Modelling and the Simplification of Environmental Systems (Peter C. Young, Arun Chotai and Keith J. Beven). 23 Pointers for the Future (John Wainwright and Mark Mulligan).read more
Citations
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Position Paper11Position papers aim to synthesise some key aspect of the knowledge platform for environmental modelling and software issues. The review process is twofold - a normal external review process followed by extensive review by EMS Board members. See the Editorial in this issue.: Ten iterative steps in development and evaluation of environmental models
TL;DR: In this article, the authors outline ten basic steps of good, disciplined model practice, including identifying clearly the clients and objectives of the modelling exercise, documenting the nature (quantity, quality, limitations) of the data used to construct and test the model, providing a strong rationale for the choice of model family and features, justifying the techniques used to calibrate the model; serious analysis, testing and discussion of model performance; and making a resultant statement of model assumptions, utility, accuracy, limitations, and scope for improvement.
Journal ArticleDOI
Predicting soil erosion and sediment yield at the basin scale: Scale issues and semi-quantitative models
Joris de Vente,Jean Poesen +1 more
TL;DR: In this article, the relation between basin area, dominant erosion processes, and sediment yield by a combination of measured sediment yield at different spatial scales in Mediterranean environments is discussed. But the applicability of these models at the basin scale is troublesome.
Linking Environmental Régimes, Space and Time: Interpretations of Structural and Functional Connectivity
John Wainwright,Laura Turnbull,Tristan G. Ibrahim,Irantzu Lexartza-Artza,Steven F. Thornton,Richard E. Brazier +5 more
TL;DR: In this paper, a refinement which distinguishes structural connectivity from functional connectivity can be used to explain patterns observed in very different environmental systems, such as linkages between surface and subsurface flowpaths and the hyporheos in the River Don, a temperate river channel in Yorkshire, UK; in surface and surface fluxes in agricultural land in the UK; and in vegetation and surface conditions in a degrading environment at the Sevilleta LTER site in the semi-arid Southwest USA.
Journal ArticleDOI
Uncertainties in landscape analysis and ecosystem service assessment.
TL;DR: By analyzing the assessment process, it is found that initial data uncertainty pervades the whole assessment and argues that the limited knowledge about the complexity of ecosystems is the focal origin of uncertainties.
Journal ArticleDOI
Dynamic interactions of life and its landscape : feedbacks at the interface of geomorphology and ecology
TL;DR: Two broad themes that serve to focus and motivate future research are co-evolution of landforms and biological communities; and humans as modi?
References
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Book
An introduction to simple climate models used in the IPCC second assessment report
D. Harvey,Jonathan M. Gregory,Martin I. Hoffert,Atul K. Jain,M. Lal,Rik Leemans,Sarah C. B. Raper,Tom M. L. Wigley,J. de Wolde +8 more
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Seasonal Simulation as a Test for Uncertainties in the Parameterizations of a Budyko-Sellers Zonal Climate Model
TL;DR: In this article, the energy-transport parameterization of Budyko (1969) is subjected to verification with seasonal transport data in order to evaluate its validity for climatic change experiments.
Journal ArticleDOI
A seasonal zonal energy balance climate model with an interactive lower layer
TL;DR: In this paper, the seasonally effective thermal inertia (SEI) is used to simulate the seasonal cycle of surface air temperature and meridional heat transport in a completely zonally averaged model.
Journal ArticleDOI
Simultaneously Constraining Climate Sensitivity and Aerosol Radiative Forcing
TL;DR: An energy balance climate model with latitudinal, surface-air, and land-sea resolution is coupled to a two-dimensional (latitude-depth) ocean model and used to simulate changes in surface and surface air temperature since 1765 as discussed by the authors.
Journal ArticleDOI
Effect of model structure on the response of terrestrial biosphere models to CO2 and temperature increases
TL;DR: The sensitivity of a number of different globally aggregated models of the terrestrial biosphere to changes of atmospheric CO2 and temperature is investigated in this paper, where carbon flow to the slowly overturning soil reservoir has a significant effect on equilibrium sensitivity of total carbon mass to temperature.