Showing papers in "Ecological Modelling in 2008"

TL;DR: It is shown that, comparing two ROCs, using the AUC systematically undervalues models that do not provide predictions across the entire spectrum of proportional areas in the study area.

TL;DR: It is presented mathematical evidence showing that the regression of predicted vs. observed data (in the x-axis) (PO) to evaluate models is incorrect and should lead to an erroneous estimate of the slope and intercept.

TL;DR: It was found that species with poor model quality or low prevalence were most sensitive to the choice of threshold, and the best results were obtained from thresholds deliberately chosen so that the predicted prevalence equaled the observed prevalence, followed closely by thresholds chosen to maximize kappa.

TL;DR: Some of the important issues that need to be addressed in relation to the incorporation of uncertainty in environmental decision-making processes include the development of methods for quantifying the uncertainty associated with human input.

TL;DR: In this article, the authors used a simple model of near surface temperature and potential evapotranspiration driven by meteorological data with the incoming solar radiation flux adjusted for topography against measurements of temperature and soil moisture at two chalk grassland field sites in contrasting regional climates of the United Kingdom.

TL;DR: In this article, the authors compared seven procedures to generate pseudo-absence data, which in turn were used to generate GLM-logistic regressed models when reliable absence data are not available.

TL;DR: In this paper, an eigenfunction-based spatial filtering technique that offers as much flexibility as the Moran's eigenvector maps (MEM) framework is presented; it is called asymmetric eigen vector maps (AEM) modelling.

TL;DR: A series of lessons based on experience working with stakeholder groups to develop watershed and water quality models to address water resource issues in Maryland, Vermont, Utah, and Virginia can help to achieve successful participatory modeling efforts elsewhere.

TL;DR: In this paper, the authors used a habitat suitability model and least-cost path analysis to determine potential dispersal corridors for cougars in a 9-state portion of the Midwest using a habitat-suitable model and path analysis.

TL;DR: AQUATOX as discussed by the authors combines aquatic ecosystem, chemical fate, and ecotoxicological constructs to obtain a truly integrative fate and effects model, which can represent a full aquatic food web, including multiple genera and guilds of periphyton, phytoplankton, submersed aquatic vegetation, invertebrates, and fish and associated organic toxicants.

TL;DR: In this paper, the authors combined surface currents, wind velocity, sea surface temperature (SST), UV radiation, photosynthetically active radiation (PAR), and chlorophyll-a concentration for the western Indian Ocean and known relationships with coral bleaching and mortality to derive predictor variables that correlate with thermal stress.

TL;DR: In this paper, the authors review state-of-the-art in modeling of urban carbon cycle and highlight the necessity of including biophysical as well as human related carbon fluxes in an urban CO2 cycle model and necessity of collecting relevant data.

TL;DR: The proposed 3-way method provides the means to not only select the model with the best predictive power, but to understand the limitations of all models under consideration, and results of best models using an independent field season are presented.

TL;DR: In this paper, the authors proposed some refinements of the ecological-niche factor analysis (ENFA) to describe precisely one organism's habitat selection, based on the concept of ecological niche, and provided a measure of the realised niche within the available space from the computation of two parameters, the marginality and the specialization.

TL;DR: In this article, a vertically resolved water quality model, DYRESM-CAEDYM, was used to examine the relative importance of internal and external nutrient inputs on water column nutrient concentrations and phytoplankton biomass.

TL;DR: This paper reviews the behavior and assumptions of the four most commonly used statistical criteria and examines whether each of the criteria are useful in selecting models to evaluate simple questions, such as whether time series support evidence of density dependent population growth.

TL;DR: In this article, the current and future impacts of fragmentation on spatial configuration of forest habitats at the landscape level time in southern Chile were studied using both a GIS-based land-use change model (GEOMOD) and spatially explicit logistic regression.

TL;DR: The kernel-based approach maps the original data vectors to an implicit high-dimensional feature space, through which complex non-linear problems are translated into simple linear problems, and achieves a slightly higher accuracy than a neural-network-based CA.

TL;DR: Tuomi et al. as discussed by the authors compared different models describing the temperature dependence of different types of soil respiration and found that the model described the respiration with the highest temperature dependence.

TL;DR: In this paper, an ecosystem model representing the continental shelf and upper slope of the South Catalan Sea (NW Mediterranean) is calibrated and fitted to the available time series data from 1978 to 2003.

TL;DR: This study shows that the GIS-CA model can simulate realistic forest fire scenarios and can be adapted to other CA-based spatio-temporal modelling applications.

TL;DR: In this paper, a combination of generalized additive and generalized linear models was applied to develop spatially explicit statistical models for land cover transitions between any of the following types: intensively used agricultural land, extensively used agricultural lands, overgrown areas, open canopy forest, closed canopy forest.

TL;DR: A coupled biophysical individual based model was developed that considers patterns of egg production (abundance, distribution and timing of hatch), temperature-dependent larval growth, stage-explicit vertical distributions of larvae, and mortality as mentioned in this paper.

TL;DR: In this paper, sequential data assimilation with an ensemble Kalman filter is designed to optimize the key parameters of the Boreal Ecosystem Producitivity Simulator (BEPS) model, taking into account the errors in the input, parameters and observation.

TL;DR: In this article, the impact of 2 × CO 2 driven climate change on radial growth of boreal tree species Pinus banksiana Lamb, Populus tremuloides Michx and Picea mariana (Mill) BSP growing in the Duck Mountain Provincial Forest of Manitoba (DMPF), Canada, is simulated using empirical and process-based model approaches.

TL;DR: In this paper, the authors used the geographical information system (GIS) in conjunction with the emergy analysis to improve the evaluation of family-managed farms that adopt either the ecological or the chemical production models.

TL;DR: Wang et al. as mentioned in this paper adopted the integrated coastal zone management (ICZM) concept and developed a system dynamic (SD) based decision support system (DSS), which is built as a DSS to facilitate scenario analysis, and identifies four critical management strategy variables, including land development, wastewater treatment, local fish consumption rate and entrance fee collection.

TL;DR: In this article, the authors proposed three new habitat suitability indices (HSI) algorithms for ENFA models, which address such "edge of niche" situations, where the environmental conditions in the study area represent only a marginal part of the species fundamental niche.

TL;DR: A relative measure of the sensitivity of model parameters and prediction to common sources of error, bias, and variability is provided by using a one-at-a-time sample design and GPS location data for woodland caribou to assess one common species-distribution model: a resource selection function.

TL;DR: The results show that different approaches to quantifying importance give different results; unweighted structural indices never correlate significantly with functional ones, but certain weighted structural indices correlate reasonably well with simulated function.