Showing papers in "Ecological Modelling in 2005"

TL;DR: This paper investigated how different methods of combining climatic parameters in BIOCLIM influenced predictions of the current distributions of 25 Australian butterflies species, and assessed the extent to which parameter choice influenced prediction of the magnitude and direction of range changes under two climate change scenarios for 2020.

TL;DR: In this article, the authors studied the effect of road conditions on the persistence of animal populations and found that road conditions affect animal populations detrimentally in four ways: they decrease habitat amount and quality, enhance mortality due to collisions with vehicles, prevent access to resources on the other side of the road, and subdivide animal populations into smaller and more vulnerable fractions.

TL;DR: In this article, the authors developed a dynamic soil carbon model Yasso to be used in forestry applications, which can simulate the stock of soil carbon, changes in this stock and the release of carbon from soil on an annual basis.

TL;DR: In this paper, a variety of methods for determining steady state solutions for Biome-BGC, a coupled model of terrestrial water, carbon, and nitrogen dynamics, were tested.

TL;DR: Support vector machines, which are the new generation of machine learning algorithms used to find optimal separability between classes within datasets, are used to predict the potential distribution of Sudden Oak Death in California and believe the support vector machines will be a useful method to deal with presence-only data in ecological analysis over a range of scales.

TL;DR: In this paper, a process-based crop growth model is developed to predict regional crop yield, water consumption and water use efficiency using remotely sensed data for a portion of Hebei province (88 779 km(2)), most of which is located on the North China Plain (NCP).

TL;DR: In this article, a forest ecosystem model (CASTANEA) is developed with the aim to bridge the gap between soil-vegetation-atmosphere (SVAT) and growth models.

TL;DR: Development of a hybrid-modeling technique, identification of target landscape structure, characterization of various forest values, such as biodiversity, water production, recreation, visual quality, erosion control, and an enthusiasm to implement the approach are identified important future development to spatial forest modeling.

TL;DR: Feed-forward neural networks, currently recognized as state-of-the-art approach for statistical prediction of air quality, are compared with two alternative approaches derived from machine learning: pruned neural networks (PNNs) and lazy learning (LL).

TL;DR: In this paper, the relationship between Chlorophyll-a and 16 chemical, physical, and biological water quality variables in Camlidere reservoir (Ankara, Turkey) were studied by using principal component scores (PCS) in multiple linear regression analysis (MLR) to predict CHL-a levels.

TL;DR: A new but simple method for visualizing modeled responses that can be implemented with any modeling method is proposed, and its application is demonstrated using five common methods applied to the prediction of an Australian tree species.

TL;DR: In this article, a modified form of ecological footprint calculation by combining emergy analysis with conventional ecological footprint form of calculations is presented, which starts from the energy flows of a system in calculating ecological footprint and carrying capacity.

TL;DR: In this paper, a complex eutrophication model was developed to simulate plankton dynamics in Lake Washington, USA and the model was used for testing alternative managerial schemes, the inclusion of multiple elemental cycles (org. C, N, P, Si, O) and multiple functional phytoplankton (diatoms, green algae and cyanobacteria) and zooplankon (copepods and cladocerans) groups was deemed necessary.

TL;DR: In this paper, classification tree analysis is evaluated as a predictive soil mapping technique for developing a preliminary soil map for neighboring site from samples extracted from an existing soil map, which can help guide future soil mapping in a nearby area.

TL;DR: It is shown that the β-values are well correlated to the age of the organisms (mya), to the number of cell types, to the minimum DNA-content, and to the ratio non-coding genes versus total number of genes.

TL;DR: It is argued that this way of combining analyses of simple and more elaborate models is a powerful way to gain understanding of complex systems.

TL;DR: In this article, robust methods of time series analysis which use only comparisons of values and not their actual size are discussed, where local and global order structure are defined as matrices or by rank numbers.

TL;DR: Conservation and wildlife biologists should consider transient dynamics when developing management plans that could affect a population’s state, or whenever population state could be unstable, according to asymptotic measure of population growth rate.

TL;DR: In this article, a local spatial analysis method (i.e., local Moran coefficient) was used to investigate spatial distribution and heterogeneity in model residuals from those modeling techniques with ordinary least squares (OLS) as the benchmark.

TL;DR: In this paper, a global exergy balance of the thermodynamic system of the earth, driven by cosmic exergy flow originated from the temperature difference between the sun and the cosmic background, is analyzed.

TL;DR: Huang et al. as mentioned in this paper used the concepts from systems ecology and emergy theory to relate the driving energies of urban systems to their structure, economy and organization, and developed theories of urban energy and contribute to the understanding of the mechanisms of urban development.

TL;DR: In this paper, a generalization of the major approaches in ecology and economics to illuminate the differences and similarities between the approaches on the basis of a set of consistent principles is presented, and a numerical example is presented to test the generalized framework, applying major analytical tools developed by other approaches.

TL;DR: In this paper, a complex eutrophication model was developed to simulate the current chemical and biological properties of Lake Washington (USA), and the model reproduces the key epilimnetic and hypolimnetic temporal patterns of the system and results in a good fit between simulated and observed monthly values.

TL;DR: In this paper, the authors used a detailed Ecopath with Ecosim (EwE) model of the Barents Sea to test the impacts of food-web aggregation and the removal of weak linkages.

TL;DR: Simulations show that the strength of inhibition of flight by the trap crop is the most important parameter to manipulate the spatial dynamics of insects with post-alighting host recognition behaviour, and the population regulation effect of diversification can be positive, negative or negligible.

TL;DR: This study presents the first real-time modelling and prediction of algal blooms using a data driven evolutionary algorithm, Genetic Programming (GP), and shows GP to be a viable alternative for algal bloom modeling and prediction.

TL;DR: Wang et al. as discussed by the authors developed a linear regression relationship between the monthly mean SAT and elevation and locational/topographic factors, which had a higher accuracy to predict SAT in the southern Qilian mountainous terrain of the Heihe River Basin.

TL;DR: The sensitivity of the distributed hydrological SWAT model to the pre-processing of soil and land use data was tested for modelling rainfall-runoff processes in the Thyle catchment in Belgium as discussed by the authors.

TL;DR: Examination of a large state space with a wide array of metrics can shed light on the strength and combination of parameters necessary to induce specific types of gregarious patterns, and suggests that fish may be able to modulate group properties such as group size, speed, and polarity.

TL;DR: In this paper, a screening model was developed to predict the growth rate required for a phytoplankton species to be present under different flushing conditions and apply it to estuaries in the EU and US to show how changes in physical forcing may alter biodiversity.