Showing papers in "Ecological Modelling in 2011"

TL;DR: This paper explored the conceptual and empirical reasons behind choice of extent of study area in such analyses, and offer practical, but conceptually justified, reasoning for such decisions, and asserted that the area that has been accessible to the species of interest over relevant time periods represents the ideal area for model development, testing, and comparison.

TL;DR: In this article, a combined Markov-cellular automata model was used to analyze temporal change and spatial distribution of land use stressed by natural and socioeconomic factors in Saga, Japan.

TL;DR: In this article, the authors used a maximum entropy approach (Maxent) for the shrew Cryptotis meridensis, which is endemic to the Cordillera de Merida in Venezuela.

TL;DR: A review of the wide variety of approaches to modelling natural disturbances in forest ecosystems, addressing the full spectrum of disturbance modelling from single events to integrated disturbance regimes, is presented in this paper.

TL;DR: Wang et al. as discussed by the authors collected surface sediment (0-15 cm) samples from 31 different grid points throughout the Yilong Lake in April 2004 to study spatial distribution characteristics based on Kriging method and assess their ecological risks posed by these heavy metals.

TL;DR: In this paper, the authors introduce KSimulation, a statistic that is identical in form to the Kappa statistic but instead applies a more appropriate stochastic model of random allocation of class transitions relative to the initial map.

TL;DR: The authors investigated the impacts of thresholds in the specific context of climate change and found that threshold selection has large consequences for estimating species range shifts under climate change, producing 1.7-to 9.9-fold differences in the proportions of species projected to become threatened by climate change.

TL;DR: This work proposes to use as standard ecological modelling terminology the terms “ecological niche,” “potential niche”, “realized niche’, and “habitat suitability map” (for the output of the niche models) so the user can understand more easily that models always forecast species’ niche and relate more closely the different types of niche models.

TL;DR: In this paper, a modeling framework that combines machine learning techniques and Geographic Information Systems to support the management of an important aquaculture species, Manila clam (Ruditapes philippinarum), is presented.

TL;DR: Based on the convincing performance of the model under uncalibrated conditions, MONICA can be regarded as a suitable simulation model for use in regional applications and its ability to reproduce the observed crop growth results in free-air carbon enrichment experiments makes it suited to predict agro-ecosystem behaviour under expected future climate conditions.

TL;DR: In this paper, the spatial and temporal dynamic pattern of the urbanization process of the Yangtze River Delta region is investigated, and the authors compare the spatial, shape, size, complexity and configuration of urban expansion in Shanghai, Nanjing and Wuxi metropolitan areas.

TL;DR: Agent-based models (ABMs) as discussed by the authors are capable of simultaneously distinguishing animal densities from habitat quality, can explicitly represent the environment and its dynamism, can accommodate spatial patterns of inter-and intra-species mechanisms, and can explore feedbacks and adaptations inherent in these systems.

TL;DR: In this article, a model named Environmental Fluid Dynamics Code (EFDC), which was developed by U.S. Environmental Protection Agency, was used to simulate the eutrophication process in the Daoxiang Lake, Beijing.

TL;DR: Tuomi et al. as mentioned in this paper proposed a wood decomposition model for boreal forests, which is based on the tree-decomposition model of the tree topology of the forest.

TL;DR: In this article, the authors propose a conceptual framework for analysing range shifts, namely a catalogue of the possible patterns of change in the distribution of a species along elevational or other environmental gradients and an improved quantitative methodology to identify and objectively describe these patterns.

TL;DR: In this article, the authors apply the emergy synthesis method to evaluate the work invested by the geobiosphere to generate the global storages of fossil energy resources and evaluate the upgrading of raw resources to secondary fuels.

TL;DR: It is revealed that particularly small forest fragments below 25 ha suffer substantial structural changes, biomass and biodiversity loss in the long term, and may reach a new equilibrium with a substantially reduced subset of the initial species pool, and are driven towards an earlier successional state.

TL;DR: In this article, the authors provide a methodology to estimate the static direct plus indirect rebound effect of energy efficiency improvements in the use of energy in households, based on the combination of econometric estimations of energy demand functions, re-spending modelling and generalised intput-output of energy modelling.

TL;DR: In this article, the authors combined mechanistic and statistical models to assess where a variety of native tree species might be more vulnerable within their recorded ranges and where they might potentially migrate.

TL;DR: In this paper, the authors implemented the widely-used SWAT river basin model (Soil Water Assessment Tool) to study a medium-sized Greek catchment with the typical data limitations met at the national level, in order to identify critical diffuse pollution source areas that may serve as the key areas for meeting the objective of good ecological status of water bodies set by the European Water Framework Directive (WFD).

TL;DR: In this paper, an ecological endowment inventory and corresponding ecological input-output modeling are presented to investigate the greenhouse gas emissions and natural resources use in 2000 for the world economy as a biophysical network associated with financial links.

TL;DR: A mixed integer fuzzy interval-stochastic programming model was developed for supporting the improvement of eco-resilience to floods in wetlands and indicates that the model is helpful for supporting adjustment or justification of allocation patterns of ecological flood-resisting capacities, and analysis of interactions among multiple administrative targets within a wetland.

TL;DR: In this article, the authors developed a new extension for the LANDIS-II forest landscape disturbance and succession model that incorporates belowground soil C dynamics derived from the CENTURY soil model.

TL;DR: In this article, the authors examined the utility of a digitally derived cartographic depth-to-water (DTW) index to model and map variations in drainage, vegetation and soil type and select soil properties within a forested area (40 × 40 ) of the Swan Hills, Alberta, Canada.

TL;DR: Models of carrying capacity can be used to responsibly limit the growth of aquaculture in increasingly crowded coastal areas and Narragansett Bay, Rhode Island, USA has potential for continued growth and is unlikely to become food limited due, in part, to the large detritus pool.

TL;DR: In this paper, an urban ecological network model is constructed to gain insights into the economic processes oriented to sustainable urban development, and the results showed that a large quantity of energy and resources have to be consumed to maintain the structure and function of a city.

TL;DR: In this paper, the authors focused on two categories of errors which can be attributed to the database such as preferential sampling and spatial autocorrelation and induced by the modelling technique such as overfitting, In order to quantify these adverse effects thousands of nulls models were created.

TL;DR: Wang et al. as mentioned in this paper developed a spatial multicriteria method to evaluate the nitrogen loss potential at the basin level, which is a low-effort approach since the required data is either already available in a global context or easily produced with limited inputs.

TL;DR: The usefulness of merging the two paradigms inside of a hybrid modeling framework to handle a class of systems difficult or in some cases impossible to model dynamically using any of these approaches alone is pointed out.

TL;DR: In this article, the authors explored the effect of varying pseudo-absence data in species distribution modelling using empirical data for four real species and simulated data for two imaginary species, and found that the number of generated pseudoabsences had a direct effect on the predicted probability, which translated to different distribution areas.