Showing papers in "Ecological Modelling in 1997"

TL;DR: In this paper, a numerical process-based model of terrestrial ecosystem dynamics is described and tested, which combines a mass-balance approach with the capacity to predict the relative dominance of different species or generalised plant types.

TL;DR: In this article, a one-dimensional water quality model (DYRESM Water Quality) is described which combines a process based hydrodynamic model with numerical descriptions of phytoplankton production, nutrient cycling, the oxygen budget and particle dynamics.

TL;DR: In this article, the authors propose a five-step framework to examine logic and bio-logic, statistical properties, characteristics of errors, residuals, and sensitivity analyses, with special emphasis on those useful in forest growth modelling.

TL;DR: Artificial neural networks are introduced and applied as a new, promising model type for modelling and prediction of algal blooms to indicate that artificial neural networks can fit the complexity and nonlinearity of ecological phenomena apparently to a high degree.

TL;DR: A model presented, for the first time, can predict the spreading of fire in both homogeneous and inhomogeneous forests and can easily incorporate weather conditions and land topography.

TL;DR: A generalized, lumped-parameter model of carbon, water, and nitrogen interactions in forest ecosystems (PnET-CN) is presented in this paper, which operates at a monthly time step and at the stand-to-watershed scale, and is validated against data on annual net primary productivity, monthly carbon and water balances, annual net N mineralization, nitrification, foliar N concentration and annual and monthly N leaching losses for two sites, Hubbard Brook (West Thornton, NH) and Harvard Forest (Petersham, MA) It is then used to

TL;DR: In this paper, the effects of temperature and water content on microbial processes were investigated in nine C-N simulation models (soiln, mathild, sundial, tritsim, daisy, nleap, ncsoil, cantis and Kersbaum's) using a daily data set of soil temperature (T) and water potential (Ψ) obtained in the field in Northern France.

TL;DR: In this paper, a continuous vegetation classification based on two main plant functional types (tree and grass) was proposed, and correspondence between climate and these vegetation types on a global scale was analysed on the basis of state-of-the-art global climate and vegetation datasets.

TL;DR: Fuzzy set theory provides a useful approach to difficult classification problems and is described how fuzzy logic can be applied to analysis of ecological impacts.

TL;DR: In this paper, dynamic simulations of 18 ecopath mass-balance marine trophic models are used to explore the stability of systems when briefly impacted by a fishery on the key ''wasp-waist'' populations occurring at intermediate levels.

TL;DR: In this paper, the authors describe a new class of random diffusion models for animal movement, flexible enough to incorporate many realistic features, but simple enough to be estimated statistically and to be interpreted behaviourally.

TL;DR: Simulations for southern Finland and northern Finland indicated that a transient increase in temperature by 4°C over a period of 100 years could substantially increase soil temperature and reduce soil moisture in forest ecosystems dominated by Scots pine.

TL;DR: It is proposed to explore the assumption that the dimension of active genomes, which are primarily a function of the required genetic information to build up an organism, are proportional to the relative contents of DNA in different organisms.

TL;DR: In this paper, the advantages and disadvantages of both the classical and the Bayesian methodology are discussed, and it is argued that from a methodical point of view, for poorly identifiable systems typical in ecological modelling, the bayesian technique is the superior approach.

TL;DR: In this article, the authors compared the performance of ANNs and regression models (RM) in predicting ecosystems attributes, with special emphasis on temporal (interannual) predictions of functional attributes of the ecosystem at regional scales.

TL;DR: The sensitivity of the model to changes in these parameters was determined by individually adjusting parameters to the maximum or minimum of their assigned ranges whilst keeping all other parameters at their assigned means as mentioned in this paper.

TL;DR: Using this model, the distribution of radiation intensity and spectra beneath heterogeneous canopies may be analysed in time and space at the required resolution, and could complement research activities involving remote sensing, plant physiology and ecology.

TL;DR: It is demonstrated that an algorithm can be developed to simultaneously evaluate these types of spatial wildlife goals which do not have a predictable response to decision choices.

TL;DR: In this paper, a spatially-explicit, two-dimensional model was developed to evaluate the processes which determine the fate and transport of nitrogen (N) in wetland systems, where the wetland soil profile was partitioned into floodwater, and aerobic, and anaerobic soil layers, with diffusion and settling accounting for the transport of N between layers.

TL;DR: In this paper, the authors explore a method based on Bayes Theorem and a Monte Carlo Markov Chain algorithm to estimate a subset of the parameters in a seven compartment ecosystem model.

TL;DR: In this article, three European estuaries were compared with respect to the dynamics between autotrophic components under the MUST-project: The Mondego River (M) (Portugal), Roskilde Fjord (R) (Denmark) and Venice Lagoon (V) (Italy).

TL;DR: A more conservative approach, such as one that involves probabilities, seems warranted as discussed by the authors, which is ill-suited to describe directional behavior such as ecosystem succession, and therefore, a conservative approach is needed.

TL;DR: In this article, a new model without empirical parameters for the prediction of rainfall interception in forests is derived, which is successfully applied to the cypress wetlands and pine uplands in the Florida flatwoods and is compared with other models using data from the literature.

TL;DR: The development, the recent state, and some future problems of ecosystem theory are characterized and some unifying and integrating concepts are proposed.

TL;DR: SOMM as discussed by the authors is a simulation model of soil organic matter mineralisation, humification and nitrogen release, which takes into account the rate of the processes depending on litter fall's nitrogen and ash content, temperature and moisture.

TL;DR: The theoretical background of the application of exergy as goal function is presented and it is used for the case studies of the projects discussed in this special issue.

TL;DR: In this article, a lake-wide suspended sediment model was developed and subsequently coupled with a horizontal circulation model to predict depth-averaged suspended sediment concentrations throughout a lake, where sediment resuspension is induced by shear stresses at the sediment-water interface which are considered to be a result of wave action.

TL;DR: In this article, a dynamic model for eutrophication incorporating phytoplankton and nutrients in the overlying water, submerged macrophytes Potamogeton pectinatus L., and nutrient dynamics in sediments was developed as a functional tool to understand the effects of microphytes on algal blooming in shallow lakes.

TL;DR: In this paper, the authors define modularity and genericness as a set of criteria and rules for model design, which encompass the goal of developing an efficient and flexible structure for plant and ecosystem models.