Showing papers in "Ecological Modelling in 2022"

TL;DR: In this paper , an integrated logistic multi-criteria evaluation (MCE) cellular automata (CA) Markov (logistic-MCE-CA-Markov) model and a geographic information system (GIS) were used to evaluate and predict the LULC changes.

TL;DR: In this article , the authors applied the Integrated Valuation of Ecosystem Service and Tradeoffs (InVEST) modeling tool to simulate water yield, water supply and water consumption in the Halil River basin in Iran, by adopting a range of scenarios of land use and climate change until 2040.

TL;DR: In this paper , a literature review on the application of System Dynamics Model (SDM) in the field of urban resilience assessment in order to underline both the strengths and the weaknesses that characterise the implementations currently available in the literature is presented.

TL;DR: In this article , the authors investigated the effect of tree species mixing on tree growth and found that mixing on average reduced competition by 16% and that this effect increased with the mixing proportion.

TL;DR: In this article, the authors investigated the effect of tree species mixing on tree growth and found that mixing on average reduced competition by 16% and that this effect increased with the mixing proportion.

TL;DR: In this paper , a review of surface water quality models was conducted from both a macro and a micro perspective, focusing on the time trends and regional variations of these models' applications using CiteSpace.

TL;DR: In this article, the authors compared the influence of trophic interactions on projections of species richness and assemblage composition under climate change scenarios, and found that nestedness with gains in species richness was the main pattern driving dissimilarity between present and future fish and macro-invertebrate species assemblages at the Mediterranean basin scale.

TL;DR: In this paper , the authors compared the influence of trophic interactions on projections of species richness and assemblage composition under climate change scenarios, and found that nestedness with gains in species richness was the main pattern driving dissimilarity between present and future fish and macroinvertebrate species assemblages at the Mediterranean basin scale.

TL;DR: Zhang et al. as discussed by the authors proposed the concept of spatial scene, a geographical unit with a coordinate position, and high unification in social-economic attributes, land cover, ecological function, and externalities, to substitute for the land use/land cover (LULC) in the traditional three-dimensional ecological footprint (EF3D) model, thereby establishing a novel framework for coastal ECC assessment.

TL;DR: In this paper , the authors review ten different global biodiversity models on how they grasp human influences that consist of stressors (pressures) and also drivers (societal needs) and conclude that policy advice, science communication, and concrete measures need to be improved in biodiversity models.

TL;DR: The General Landscape Connectivity Model (GLCM) as discussed by the authors is built on two complementary metapopulation ecology-based measures: Neighbourhood habitat area (Ni) and habitat link value (Li).

TL;DR: In this article , a system dynamics simulation model using MIMES (Multiscale Integrated Model of Ecosystem Services) was developed for Ubatuba, a coastal city highly dependent and influenced by tourism.

TL;DR: In this paper , the ability of an agricultural clay soil to adsorb and retain cadmium (Cd), copper (Cu) and chromium (Cr) was investigated by simulating different conditions using PHREEQC (which stands for, pH, redox, equilibrium written in the C language) geochemical modelling code coupled to parameter estimation (PEST).

TL;DR: In this article , the authors compared the performance of maximum entropy-based CSDMs calibrated with seven different climate data sets (WorldClim, Chelsa, TerraClimate, Climate Research Unit Time-Series [CRU-TS], PRISM, StreamCat, and EarthEnv).

TL;DR: In this paper , the authors illustrate the underlying logics behind the Droop and Monod forms via conceptual comparison, experimental data validation, transient, and asymptotic dynamics.

TL;DR: In this paper , the authors provide a summary of the most commonly used crop models and their calibration inputs in Morocco, and the most frequently studied crops, how the studies are published (peer-review or grey literature), and the affiliations of the lead authors.

TL;DR: In this article , the authors reviewed the application of the Environmental Policy Impact Climate (EPIC) crop growth model, which is capable of simulating crop productivity for hundreds of years under a variety of climate scenarios, environmental conditions, and management systems and is often used to study the impact of climate change on agriculture.

TL;DR: In this article , five machine learning methods named Multiple Linear Regression (MLR), Support Vector Machine (SVM), Decision Tree (DT), Gradient Boosting Machine (GBM), and Random Forest (RF) were used to predict daily NEE magnitude.

TL;DR: In this article , a high-resolution map of wind speed, direction, and turbulence on Marion Island (MI) through the use of Computational Fluid Dynamics (CFD); an engineering-based discipline for modelling fluid physics.

TL;DR: In this article , the authors investigate the potential structures that could threaten the long term future of starch potato production and identify leverage points that can enhance the resilience of the system, by using a system dynamics simulation model.

TL;DR: In this article , the authors used the updated ORCHIDEE land surface model to simulate the state and dynamics of the Amazonian forest in the Amazon basin, and compared it with the standard version of ORCHIDE (TRUNK) for which ecohydrological parameters were tuned globally to fit GPP and evapotranspiration at flux tower sites.

TL;DR: In this article , the authors proposed an expert opinion elicitation framework that integrates expert opinions as prior distributions for the effects of continuous explanatory variables, through a Bayesian Parametric Survival Model (B-PSM).

TL;DR: In this paper, the authors proposed an expert opinion elicitation framework that integrates expert opinions as prior distributions for the effects of continuous explanatory variables, through a Bayesian Parametric Survival Model (B-PSM).

TL;DR: In this paper , a dilated convolutional neural network (DCNN) model with global average pooling (GAP) was proposed for detecting plant leaf disease using deep learning and high-end imaging methods.

TL;DR: In this article , the authors evaluated 127 publications of mosquito SDMs published between 1998 and 2020 and assessed each against a set of recently developed, best-practice standards pertaining to quality of the response variable, predictor variables, model building, and model evaluation aspects.

TL;DR: In this article , the absolute concentration of Chlorophyll, the change rate of Chl (ΔChl), and the relative change rate (RChl) were used as the output of a long short-term memory (LSTM) model.

TL;DR: In this article , the authors present an integrated, consistent guide through all the steps of generic ecological-economic modelling, such as formulation of the research question, development of the conceptual model, model parametrisation and analysis, and interpretation of model results.

TL;DR: In this article , the authors used simulated and real ecological data (seven-year monitoring of offspring production in 239 white stork (Ciconia ciconia) nests) to show how results differ when ignoring missing data, filling the gaps using single methods (including fuzzy methods) and using multiple-imputation and aggregation techniques.

TL;DR: In this paper , a process-based DeNitrification and DeComposition (DNDC) model was applied to quantify greenhouse gas (GHG) emissions from agricultural soils, which can capture both the daily time-scale and cumulative growing season CH4 fluxes.

TL;DR: In this article , the authors analyze the coexistence of two congeneric species, the Whinchat Saxicola rubetra and the Stonechat Saxicaola rubicola, in a sympatric zone, where both species occur alongside in syntopic sites, and separately in allotopic sites.