Eutrophication in peel inlet—I. The problem-defining behavior and a mathematical model for the phosphorus scenario

Hornberger, G. M.

doi:10.1016/0043-1354(80)90039-1

Cited by 152 publications

(73 citation statements)

References 33 publications

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“…He argues that equifinality is endemic in environmental modelling and that the only way to sensibly deal with it is to explicitly account for the uncertainty that it introduces, and to focus attention on seeking data that enables rejection or falsification of models on the grounds that they fail to represent observed behaviour of the system [7,9,10]. Beven uses the terms ''behavioural'' and ''non-behavioural'' (following the terminology of Hornberger and Spear [51,52]) to describe models that ''fit'' or ''do not fit'' with observations. If there are few observations, many models will be ''behavioural'' (since they will not be falsified by the data), but there will be a great deal of uncertainty associated with their predictions.…”

Section: Advances In Philosophymentioning

confidence: 99%

Advances in the use of observed spatial patterns of catchment hydrological response

Grayson

Blöschl

Western

et al. 2002

Advances in Water Resources

214

181

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Section: Advances In Philosophymentioning

confidence: 99%

Advances in the use of observed spatial patterns of catchment hydrological response

Grayson

Blöschl

Western

et al. 2002

Advances in Water Resources

214

181

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“…Such sensitivity analyses may be applied to either stochastic or deterministic models. Hornberger and Spear (1980), Spear and Hornberger (1980), and Humphries et al (1984) provide detailed early examples of this approach, and Vanclay and Skovsgaard (1997) give a brief overview in the context of forest growth models. A related use of Monte Carlo methods involves assessments of variability in model output based on uncertainty or randomness in model parameters.…”

Section: Monte Carlo Hypothesis Testingmentioning

confidence: 99%

Monte Carlo assessments of goodness-of-fit for ecological simulation models

Waller

Smith

Childs

et al. 2003

Ecological Modelling

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One often develops stochastic ecologic simulation models based on local interactions between individuals or groups and bases systemic conclusions on trends summarized over multiple data sets generated from the model. In many cases, such models generate data sets ("realizations") each violating the usual assumptions associated with traditional statistical tests of goodness-of-fit, most notably that of independent observations. Monte Carlo hypothesis tests applied to multiple realizations from such models provide appropriate goodness-of-fit tests regardless of within-model peculiarities. The Monte Carlo tests address the question "Do the observed data appear consistent with the model?" in contrast to the usual question "Does the model appear consistent with the observed data?". In addition, such tests can make use of the same data sets used to draw systemic inference (i.e. the tests require no additional simulation runs). We illustrate the concept using Pearson's chi-square statistic with correlated data. We also consider the behavior of a similar statistic and of "modeling efficiency" in assessing the fit of a simulation model for the spatial spread of raccoon rabies in Connecticut.

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“…To obtain an insight into the models' functioning and to assess which parameters mostly affect their performances, a general sensitivity analysis (GSA) (Hornberger and Spear, 1980) was performed on the two models. Eight parameters for each model were taken into account for the sensitivity analysis (Table 1).…”

Section: Sensitivity Analysismentioning

confidence: 99%

Comparing two approaches for parsimonious vegetation modelling in semiarid regions using satellite data

et al. 2014

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Large portions of Earth's terrestrial surface are arid or semiarid. As in these regions the hydrological cycle and the vegetation dynamics are tightly interconnected, a coupled modelling of these two systems is needed to fully reproduce the ecosystem behaviour and to predict possible responses to climate change. In this paper, the performance of two parsimonious dynamic EVI is reported in literature to be highly correlated with leaf area index so it is compared with modelled LAI mod (r WUE-model =0.45; r LUE-model =0.57). In contrast, NDVI appears highly linked to soil moisture, through the control exerted by this variable on chlorophyll production, and is therefore used to analyze LAI* mod , models' output corrected by plant water-stress (r WUE-model =0.62; r LUE-model =0.59).MODIS LAI and ET are found to be unrealistic in the studied area. The performance of both models in this semiarid region is found to be reasonable.However, the LUE-model presents the advantages of a better performance, the possibility to be used in a wider range of climates and to have been extensively tested in literature.

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Eutrophication in peel inlet—I. The problem-defining behavior and a mathematical model for the phosphorus scenario

Cited by 152 publications

References 33 publications

Advances in the use of observed spatial patterns of catchment hydrological response

Advances in the use of observed spatial patterns of catchment hydrological response

Monte Carlo assessments of goodness-of-fit for ecological simulation models

Comparing two approaches for parsimonious vegetation modelling in semiarid regions using satellite data

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