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Heterogeneity in the resource landscape encourages increased cognitive and perceptive capabilities in foragers Ecol Modell (IF 3.1) Pub Date : 2024-04-16 Richard Gibbs, Pietro Landi, Cang Hui
Foraging for resources is a fundamental animal activity. Successful and efficient foraging will ultimately lead to both indirect and direct selective advantages by providing animals with the time and resources needed to fulfil other life demands. The performance of a forager is ultimately determined by its behaviour and ability once placed within the context of its environment. As such, the environment
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The comparative energetics of branchiopods: Adaptations to volatile environments Ecol Modell (IF 3.1) Pub Date : 2024-04-15 Sebastiaan A.L.M. Kooijman
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Effects of top predator re-establishment and fishing on a simulated food web: Allometric Trophic Network model for Lake Oulujärvi Ecol Modell (IF 3.1) Pub Date : 2024-04-11 Eevi Kokkonen, Mikael Kuisma, Pekka Hyvärinen, Anssi Vainikka, Kristiina Vuorio, Tommi Perälä, Laura S. Härkönen, Satu Estlander, Anna Kuparinen
Fish communities face changes in environmental conditions and fishing that affects the abundances and structures of the populations. Before 1960s there were abundant stocks of both pikeperch () and whitefish () in Lake Oulujärvi, but in 1960s–1970s the stock of pikeperch declined to very low levels while whitefish stock remained abundant. Due to massive re-introductions, pikeperch recovered since 1999
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Chaotic mixotroph dynamics arise with nutrient loading: Implications for mixotrophy as a harmful bloom forming mechanism Ecol Modell (IF 3.1) Pub Date : 2024-04-11 Sierra E. Cagle, Daniel L. Roelke
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On the impact of preferential sampling on ecological status and trend assessment Ecol Modell (IF 3.1) Pub Date : 2024-04-09 Philippe Aubry, Charlotte Francesiaz, Matthieu Guillemain
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Comparing the performance of global, geographically weighted and ecologically weighted species distribution models for Scottish wildcats using GLM and Random Forest predictive modeling Ecol Modell (IF 3.1) Pub Date : 2024-04-08 S.A. Cushman, K. Kilshaw, R.D. Campbell, Z. Kaszta, M. Gaywood, D.W. Macdonald
Species distribution modeling has emerged as a foundational method to predict occurrence and suitability of species in relation to environmental variables to advance ecological understanding and guide conservation planning. Recent research, however, has shown that species-environmental relationships and habitat model predictions are often nonstationary in space, time and ecological context. This calls
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Assessing the impact of multi-year droughts on German forests in the context of increased tree mortality Ecol Modell (IF 3.1) Pub Date : 2024-04-06 Anne Holtmann, Andreas Huth, Friedrich Bohn, Rico Fischer
Forests play a crucial role in climate regulation and societal well-being. Despite their significance, the increasing frequency of droughts poses a severe threat to forest ecosystems, impacting carbon sequestration and forest stability. In Germany, the unprecedented 2018–2020 drought resulted in extensive tree mortality and damaged wood volume, with lasting effects observed in subsequent years. As
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Integration of animal movement into wildlife-vehicle collision models Ecol Modell (IF 3.1) Pub Date : 2024-04-05 Annaëlle Bénard, Thierry Lengagne, Christophe Bonenfant
Road networks have major ecological impacts on living organisms consequent to habitat loss and fragmentation, chemical and acoustic pollution, and direct mortality when wildlife-vehicle collisions are involved (WVC). The many past empirical studies revealed major variables accounting for WVC incidence ( population density). Similarly, spatial locations of WVC hot-spots are associated to landscape features
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A new mechanistic model for individual growth suggests upregulated maintenance costs when food is scarce in an insect Ecol Modell (IF 3.1) Pub Date : 2024-03-29 Karl Mauritsson, Tomas Jonsson
A growing animal ingests food from the environment and distributes the assimilated energy between chemical energy stored in synthesized biomass and energy spent on metabolic processes, including food processing, maintenance, activity and overhead costs for growth. Under food restriction, the growth rate is usually decreased. However, the extent of this reduction may be influenced by a potential trade-off
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Validation of the MGB-IPH hydrological model for flows simulation in paired watershed in minas gerais, Brazil. Ecol Modell (IF 3.1) Pub Date : 2024-03-29 Marllus Henrique Ribeiro de Paiva, Paula Cristine Silva Gomes, Lívia Cristina Pinto Dias, Aníbal da Fonseca Santiago
Simulating hydrological behavior makes it possible to analyze and predict water availability in river basins, anticipate potential events and carry out quantitative water balances using various scenarios. These scenarios arise from changes in land use and landscape over the years, the occurrence of extreme events and the effects of climate change. In this context, the aim of this study was to evaluate
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Variable importance and scale of influence across individual scottish wildcat hybrid habitat models Ecol Modell (IF 3.1) Pub Date : 2024-03-29 S.A. Cushman, K. Kilshaw, Z. Kaszta, R.D. Campbell, M. Gaywood, D.W. Macdonald
Understanding the scale dependence of species-habitat relationships is an important area of research in species distribution modeling. There has been little research focused on how habitat selection may depend on individual variation among organisms, geographical location and ecological context of that location. Furthermore, little is known about the extent and drivers of heterogeneity of scale dependence
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An individual-based model for direct and indirect transmission of chronic wasting disease in free-ranging white-tailed deer Ecol Modell (IF 3.1) Pub Date : 2024-03-29 Noelle E Thompson, David J Butts, Michael S Murillo, Daniel J O'Brien, Sonja A Christensen, William F Porter, Gary J Roloff
Chronic wasting disease (CWD) is an infectious prion disease that infects members of the family (i.e., deer) resulting in widespread ecological, economic, and recreational ramifications. We introduce a spatially explicit individual-based model (IBM) that integrates individual deer movement and behavior with population and disease dynamics to forecast CWD in populations of free-ranging white-tailed
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Amount of carbon fixed, transit time and fate of harvested wood products define the climate change mitigation potential of boreal forest management—A model analysis Ecol Modell (IF 3.1) Pub Date : 2024-03-26 Holger Metzler, Samuli Launiainen, Giulia Vico
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A stage-based life cycle implementation for individual-based population viability analyses of grey wolves (Canis lupus) in Europe Ecol Modell (IF 3.1) Pub Date : 2024-03-25 J. Hatlauf, F. Kunz, P. Griesberger, F. Sachser, K. Hackländer
Population viability analyses (PVA) are important tools for decision-making and planning of adaptive wildlife management actions. While earlier approaches on individual based PVAs have often been age-based, analyses of species with strong social structure might benefit from a stage-based model approach. In this study, we designed an individual-based and stage-based PVA within the software Vortex. As
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Explaining inter-individual differences in habitat relationships among wildcat hybrids in Scotland Ecol Modell (IF 3.1) Pub Date : 2024-03-21 S.A. Cushman, K. Kilshaw, Z. Kaszta, R.D. Campbell, M. Gaywood, D.W. Macdonald
Little is known about the factors that drive nonstationarity and inter-individual differences in realized habitat niches and species-environment relationships. We explored this topic by developing individual habitat selection models for 14 wildcat hybrids distributed across Scotland, and assessed how differences in their predicted probabilities of occurrence were related to factors including (1) geographic
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Reconsidering the Price equation: Benchmarking the analytical power of additive partitioning in ecology Ecol Modell (IF 3.1) Pub Date : 2024-03-20 Werner Ulrich, Nicholas J. Gotelli, Giovanni Strona, William Godsoe
The Price approach allows the partitioning of composite variables into a set of additive components and has become an important tool in evolutionary and ecological research. However, because such components are not mutually independent and might be constrained by the inherent data structure, comparing and interpreting Price partitions among different datasets is not straightforward and has contributed
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ecode: An R package to investigate community dynamics in ordinary differential equation systems Ecol Modell (IF 3.1) Pub Date : 2024-03-19 Haoran Wu
Population dynamics modelling plays a crucial role in understanding ecological populations and making informed decisions for environmental management. However, existing software packages for dynamical system modelling often lack comprehensive integration of techniques and guidelines, limiting their practical usability. This paper introduces ecode, a novel package for modelling ecological populations
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A GIS-based approach for managing catch-and-release fisheries Ecol Modell (IF 3.1) Pub Date : 2024-03-18 Joseph W. Love
Fishery managers establish limits on the possession of certain sizes or numbers of sportfish to structure populations and manage for sustainability. However, when the vast majority of fish are released, possession limits become less useful for structuring a population because most fish are released alive. I explored a novel approach of coupling environmental modeling with demography and fishery data
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Evaluating the skill of correlative species distribution models trained with mechanistic model output Ecol Modell (IF 3.1) Pub Date : 2024-03-16 Dante M.L. Horemans, Marjorie A.M. Friedrichs, Pierre St-Laurent, Raleigh R. Hood, Christopher W. Brown
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Diffusivity and bias movement velocity of Cryptolestes ferrugineus (Coleoptera: Laemophloeidae) adults under different temperature and moisture differences Ecol Modell (IF 3.1) Pub Date : 2024-03-15 T. Anukiruthika, Digvir S. Jayas, Fuji Jian
Understanding the movement of stored products insects is crucial to determine and predict their distribution in grain bins. The present work focuses on the determination of the diffusivity and bias movement velocity of (Stephens) adults by using published data from our previous studies. The published data were collected under different storage conditions: different temperature differences (0 to 20
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Dynamic simulation study of soil erosion intensity on slopes with different vegetation patterns in pisha sandstone area Ecol Modell (IF 3.1) Pub Date : 2024-03-15 Zhizhuo Zhu, Long Li, Shangxuan Zhang, Peng Zhang, Yanan Ren, Yu Zhang
The study of soil erosion is significant to soil and water conservation and ecological construction planning. CA, a dynamic modeling method, has been widely used to simulate the future changes of soil erosion intensity. In this study, three slopes with different vegetation patterns (uniform distribution, aggregated distribution, and random distribution) and a bare slope in the Baojiagou watershed in
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Simulating critical nutrient loadings of regime shift in the shallow plateau Lake Dianchi Ecol Modell (IF 3.1) Pub Date : 2024-03-14 Dongshao Wu, Min Cao, Wei Gao, Zhongzhao Duan, Yuan Zhang
The external inputs of nitrogen and phosphorus are crucial driving forces for regime shifts in lakes. However, the altered flow caused by anthropogenic activities and climate change complicates the transition process. Identifying critical nutrient loadings for state transitions and their relationship with flow change has become an increasingly crucial scientific issue for managing lake ecosystems.
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The landscape altered the interaction between vegetation and climate in the desert oasis of Hotan River Basin, Xinjiang, China Ecol Modell (IF 3.1) Pub Date : 2024-03-13 Yimeng Cai, Jiaxin Wu, Tudi Yimiti, Zhouyuan Li, Xiuchun Yang, Shikui Dong
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Contagion, fast and low: Modeling social influence in socio-ecological systems Ecol Modell (IF 3.1) Pub Date : 2024-03-12 Antonio Lopolito, Rocco Caferra, Piergiuseppe Morone
The concept of contagion defines how attitudes, emotions, or behaviors spread within a specific group. Traditional models of social contagion account for network characteristics that define the spread of simple or complex ideas based on the degree of exposure of susceptible agents to their affected “contact neighborhood”. However, these models understate two principal characteristics of real-world
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Confidence and consistency in discrimination: A new family of evaluation metrics for potential distribution models Ecol Modell (IF 3.1) Pub Date : 2024-03-11 Imelda Somodi, Ákos Bede-Fazekas, Zoltán Botta-Dukát, Zsolt Molnár
Potential distribution models (PDMs) are widely applied to understand and predict biogeographic patterns. PDM evaluation, however, presents major challenges, including (1) matches of predictions with observed absences and presences being treated similarly and (2) treatment of predicted presences falling outside the observations as errors, while a major motivation of PDMs is to identify such locations
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Elucidating the seasonal dominance replacement mechanism of harmful raphidophytes Chattonella marina and Heterosigma akashiwo using the Lotka–Volterra model Ecol Modell (IF 3.1) Pub Date : 2024-03-11 Kengo Shinohara, Yuji Ito, Suguru Okunishi, Hiroto Maeda
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Evaluating key climatic and ecophysiological parameters of worldwide tree mortality with a process-based BGC model and machine learning algorithms Ecol Modell (IF 3.1) Pub Date : 2024-03-10 Nanghyun Cho, Casimir Agossou, Eunsook Kim, Jong-Hwan Lim, Taehee Hwang, Sinkyu Kang
Drought-induced tree mortality has been increasing worldwide under climate change; therefore, forests will become more vulnerable as warming continues. Meanwhile, carbon starvation and hydraulic failure have been proposed as main drought-induced mortality mechanisms, mostly validated through individual tree-level experiments. However, there lack of a unified way to monitor and assess tree mortality
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Fish survival subject to algal bloom: Resource-based growth models with algal digestion delay and detritus-nutrient recycling delay Ecol Modell (IF 3.1) Pub Date : 2024-03-09 Qi An, Hao Wang, Xiunan Wang
In this paper, we propose a class of resource-based growth models with delays in algal digestion and detritus-nutrient recycling, and investigate the model based on two different survival scenarios of algae during nutrient transformation. One scenario considers the survival rates of algae during nutrient uptake, while the other overlooks this factor. We find a significant difference in the estimated
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A geostatistical model based on random walks to krige regions with irregular boundaries and holes Ecol Modell (IF 3.1) Pub Date : 2024-03-06 Ronald P. Barry, Julie McIntyre, Jordan Bernard
Classical kriging models use Euclidean distance when modeling spatial autocorrelation. However for regions with irregular boundaries and holes, such as estuaries and coastlines, a measure of within-domain distance may capture a system’s proximity dependencies more accurately. Standard kriging techniques are not guaranteed to yield a valid covariance structure when defined in terms of non-Euclidean
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Increased unpredictability in spruce budworm outbreaks following habitat loss and landscape fragmentation Ecol Modell (IF 3.1) Pub Date : 2024-03-05 Pierce McNie, Daniel Kneeshaw, Élise Filotas
The spruce budworm (SBW) is the insect defoliator responsible for the greatest tree mortality in North America. Fragmentation and loss of habitat are expected to affect the movement of SBW through forested landscapes during periods of dispersal thereby modifying outbreak severity and frequency.
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Consequences of alternative stable states for short-term model-based control of cyanobacterial blooms Ecol Modell (IF 3.1) Pub Date : 2024-03-02 Bas Jacobs, George van Voorn, Peter van Heijster, Geerten M. Hengeveld
We explore potential management strategies for short-term mitigation efforts of cyanobacterial blooms informed by process-based dynamic models. We focus on the case where blooms are linked to the existence of alternative stable states, such that, under the same conditions but depending on the past, a lake may be dominated either by cyanobacteria (“blue algae”), causing a harmful algal bloom, or by
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Modeling soil carbon accumulation in irrigated agricultural systems Ecol Modell (IF 3.1) Pub Date : 2024-03-01 Jiachen Jiang, Almas Mukhametov, Alla Philippova, Alexander Bakshtanin
In contemporary circumstances characterized by climate change and increased pressure on agricultural ecosystems, determining the impact of irrigation levels on soil carbon dynamics becomes a pertinent task. This study aims to determine the impact of irrigation rates on soil carbon dynamics using agricultural system modeling. The simulations were conducted by LPJ-GUESS Education 3.0. The results were
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A Bayesian approach to projecting forest dynamics and related uncertainty: An application to continuous cover forests Ecol Modell (IF 3.1) Pub Date : 2024-03-01 Mari Myllymäki, Mikko Kuronen, Simone Bianchi, Arne Pommerening, Lauri Mehtätalo
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The influence of stochastic fluctuations on population dynamics: An in-silico approach Ecol Modell (IF 3.1) Pub Date : 2024-02-29 Javier Falgueras-Cano, Juan-Antonio Falgueras-Cano, Andrés Moya
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A Bayesian multi-state model with data augmentation for estimating population size and effect of inbreeding on survival Ecol Modell (IF 3.1) Pub Date : 2024-02-29 Diego Rondon, Samu Mäntyniemi, Jouni Aspi, Laura Kvist, Mikko J. Sillanpää
A joint model framework for estimating population sizes over time and survival probabilities while considering inbreeding and age as covariates in the survival function is elaborated. This methods is tested with data simulated over two small close to extinction open populations, that aims to imitate wild individuals under decline and bottleneck dynamics. A Hidden Markov Model (HMM) perspective with
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Exploring nonstationary limiting factors in species habitat relationships Ecol Modell (IF 3.1) Pub Date : 2024-02-29 S.A. Cushman, K. Kilshaw, Z. Kaszta, R.D. Campbell, M. Gaywood, D.W. Macdonald
Species distribution modeling is widely used to quantify and predict species-environment relationships. Most past applications and methods in species distribution modeling assume context independent and stationary relationships between patterns of species occurrence and environmental variables. There has been relatively little research investigating context dependence and nonstationarity in species
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Sensitivity of long-term productivity estimations in mixed forests to uncertain parameters related to fine roots Ecol Modell (IF 3.1) Pub Date : 2024-02-28 Antonio Yeste, Brad Seely, J. Bosco Imbert, Juan A. Blanco
Forest growth models are increasingly being used in forestry and ecology research as predictive tools to help developing practical guidelines and to improve understanding of the drivers of forest ecosystem functioning. Models are usually calibrated using parameters directly obtained or estimated from empirical field observation, and hence are subject to uncertainty. Thus, output accuracy depends on
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Modelling nonlinear responses of a desert rodent species to environmental change with hierarchical dynamic generalized additive models Ecol Modell (IF 3.1) Pub Date : 2024-02-23 K.A.N.K. Karunarathna, Konstans Wells, Nicholas J. Clark
Modelling abundance fluctuations of species is a crucial first step for understanding and forecasting system dynamics under future conditions. But, especially in multivariate response data, this can be hampered by characteristics of the study system such as unknown complexity, differently formed spatial and temporal dependency, non-linear relationships, and observation characteristics such as zero-inflation
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Productivity-environment models for Scots pine plantations in Bulgaria: an interaction of anthropogenic origin peculiarities and climate change Ecol Modell (IF 3.1) Pub Date : 2024-02-22 Tatiana V. Stankova, Miguel Ángel González-Rodríguez, Ulises Diéguez-Aranda, Angel Ferezliev, Proletka Dimitrova, Kristiyan Kolev, Penka Stefanova
The consequences of climate change on forest growth can be exacerbated for the forest ecosystems of anthropogenic origin, especially for the populations at the margins of the species range. The productivity-environment relationships are a methodological approach for modeling growth at whole-stand level, which although empirical is applicable under changing climatic conditions. Some peculiarities of
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A strategic roadmap for interdisciplinary modeling in ecology: The result of reading ‘Defining an ecological equation of state: Response to Riera et al. 2023′ (Newman et al., 2023) Ecol Modell (IF 3.1) Pub Date : 2024-02-22 Rodrigo Riera, Brian D. Fath, Ada M. Herrera, Ricardo A. Rodríguez
An interesting dialogue is developed between Newman et al. (2023) and Riera et al. (2023), in which proposals related to the development of equations of state in ecosystem ecology are discussed in depth. This debate is more important than it first appears, since the persistent gap between theoretical and empirical ecology is due, in part, to the absence of a comprehensive paradigm in this field. As
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Spatiotemporal evolution of county level ecological security based on an emergy ecological footprint model: The case of Dingxi, China Ecol Modell (IF 3.1) Pub Date : 2024-02-22 Yanhua Lu, Lijuan Yan, Jie Li, Yunliang Liang, Chuanjie Yang, Guang Li, Jiangqi Wu, Hua Xu
Clarifying the spatiotemporal development of regional ecological security can support decision-making related to coordinated, sustainable regional development. This study used an emergy ecological footprint () model to analyze spatiotemporal changes in ecological security in the Dingxi region, a fragile-environment area in western China. The results indicated that in all counties in Dingxi, the change
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Addressing temporal trends in survivorship from cross-sectional sampling designs: A modelling framework with applications for megafauna conservation Ecol Modell (IF 3.1) Pub Date : 2024-02-21 Etienne Rouby, Matthieu Authier, Emmanuelle Cam, Ursula Siebert, Floriane Plard
Studying survival in megafauna populations is a challenge. Survival can vary over time and can be altered by increasing pressures from human activities. Considering time variations in inter-annual survival or cumulative survival is necessary to evaluate conservation status and anticipate detrimental demographic changes before large declines in abundance materialize. Estimating survival is straightforward
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Overcoming conceptual hurdles to accurately represent trees as cohorts in forest landscape models Ecol Modell (IF 3.1) Pub Date : 2024-02-21 Eric J. Gustafson, Brian R. Sturtevant, Brian R. Miranda, Matthew J. Duveneck
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Modeling transport and feeding of juvenile Kemp's ridley sea turtles on the West Florida shelf Ecol Modell (IF 3.1) Pub Date : 2024-02-21 Rebecca L. Scott, Nathan F. Putman, R.Taylor Beyea, Hallie C. Repeta, Cameron H. Ainsworth
Survivorship during the juvenile oceanic phase likely acts as a bottleneck on the growth of sea turtle populations, and starvation mortality through this period is one potential factor influencing year class strength. We combined a simulation of juvenile Kemp's ridley ( sea turtle dispersal based on an ocean circulation model with an Atlantis ecosystem model to examine the spatial overlap of young
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Delineation of potential alternative agriculture region using RS and AHP-based GIS techniques in the drought prone upper Dwarakeswer river basin, West Bengal, India Ecol Modell (IF 3.1) Pub Date : 2024-02-20 Ujjal Senapati, Tapan Kumar Das
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Novel method of determining parameters for the effective accumulated temperature model by using seasonal pest occurrence data Ecol Modell (IF 3.1) Pub Date : 2024-02-19 Fumiya Sasaki, Takuya Shiba, Keiichiro Matsukura
To improve the prediction accuracy of pest forecasting, we developed a machine-learning-based method of estimating parameters of the effective accumulated temperature (EAT) model on the basis of numerous historical occurrence data on target pests and meteorological data in the field. The parameters were estimated by using past occurrence data of the white-backed planthopper (WBPH), , collected in light
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The mystery of bimodal nesting seasons in marine turtles Ecol Modell (IF 3.1) Pub Date : 2024-02-17 Marc Girondot, Ambre Dejoie, Michel Charpentier
The seasonality of egg-laying in marine turtles is a well-known phenomenon that has been used to determine population trends based on an integration of the number of female emergences or nests during a season. However, in some cases, several peaks in female emergences are detected during single year. In this paper, we explore three such situations, two involving leatherback turtles laying eggs in French
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The relationship between confidence intervals and distributions of estimators for parameters of deterministic models Ecol Modell (IF 3.1) Pub Date : 2024-02-16 Konstadia Lika, Sebastiaan A.L.M. Kooijman
A Symmetric-Bounded (SB) method for parameter estimation enables estimating parameters in cases where maximum-likelihood (ML) methods are unsuitable. We here extend the SB-method to quantify the accuracy of point estimates and to link profile-based confidence intervals to the distribution of parameter estimators. We compare ML and SB methods for parameter estimates of Weibull and exponential models
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Using the Canadian Model for Peatlands (CaMP) to examine greenhouse gas emissions and carbon sink strength in Canada's boreal and temperate peatlands Ecol Modell (IF 3.1) Pub Date : 2024-02-15 Kelly A. Bona, Kara L. Webster, Dan K. Thompson, Oleksandra Hararuk, Gary Zhang, Werner A. Kurz
This study applied the Canadian Model for Peatlands (CaMP) to 63.9 million hectares of peatlands within boreal and temperate ecozones of Canada to assess the trends in atmospheric carbon (C) emissions and removals and C sequestration over 30 years (1990–2019). The CaMP modelled net ecosystem productivity (NEP) for peatlands within the study area indicated a net C sink at an annual mean rate of 30.9
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Ways to reduce or avoid juvenile-driven cycles in individual-based population models Ecol Modell (IF 3.1) Pub Date : 2024-02-15 S, ., A, ., L, ., M, ., , K, o, o, i, j, m, a, n
Feeding being linked to surface area and maintenance to volume causes juvenile-driven cycles in individual-based population models (IBM’s). This combination of traits induces self-synchronisation of individuals: at some low food level, small individuals can still grow, but large ones cannot. Since Dynamic Energy Budget (DEB) models have these features, which are well-tested for individuals in the collection
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Pan-Atlantic 3D distribution model incorporating water column for commercial fish Ecol Modell (IF 3.1) Pub Date : 2024-02-14 Mireia Valle, Eduardo Ramírez-Romero, Leire Ibaibarriaga, Leire Citores, Jose A. Fernandes-Salvador, Guillem Chust
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Framing settlement systems as spatial adaptive systems Ecol Modell (IF 3.1) Pub Date : 2024-02-13 Kaarel Sikk, Geoffrey Caruso
Theoretical developments are needed to interpret the increasing amount of large-scale spatial data about past settlements. So far, settlement patterns have mostly been considered as passive imprints of past human activities and most theories are limited to ecological processes. Locational and spatial interactions have scarcely been included as long-term driving forces of settlement systems but hold
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TVDI-based water stress coefficient to estimate net primary productivity in soybean areas Ecol Modell (IF 3.1) Pub Date : 2024-02-12 Grazieli Rodigheri, Denise Cybis Fontana, Luana Becker da Luz, Genei Antonio Dalmago, Lucimara Wolfarth Schirmbeck, Juliano Schirmbeck, Jorge Alberto de Gouvêa, Gilberto Rocca da Cunha
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Simulating implications of fish behavioral response for managing hypoxia in estuaries with spatial dissolved oxygen variability Ecol Modell (IF 3.1) Pub Date : 2024-02-10 Richard S. Fulford, Jessica L. Tolan, James D. Hagy
Hypoxia, or low dissolved oxygen (DO), is a widespread water quality problem affecting estuaries and coastal waters around the world. Water quality criteria for DO have been established for every estuary in the US and are an important part of the regulatory response to nutrient pollution and associated anthropogenic eutrophication. Experimental studies examining effects of low DO exposure have been
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Simulating the ecosystem-atmosphere carbon, water and energy fluxes at a subtropical Indian forest using an ecosystem model Ecol Modell (IF 3.1) Pub Date : 2024-02-07 Pramit Kumar Deb Burman, Prajeesh A․G․, Supriyo Chakraborty, Yogesh K. Tiwari, Dipankar Sarma, Nirmali Gogoi
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Quantifying greenhouse gas emissions in agricultural systems: a comparative analysis of process models Ecol Modell (IF 3.1) Pub Date : 2024-02-07 Yujie Tang, Yunfa Qiao, Yinzheng Ma, Weiliang Huang, Khan Komal, Shujie Miao
Agricultural ecosystems have long been recognized as significant greenhouse gas (GHG) sources. To accurately quantify GHG emissions, researchers have developed various process models. However, there are no summary studies of comparative model simulations of GHG emissions from different crop systems. This study compared four widely used process models: APSIM, DNDC, DayCent, and STICS, analyzing their
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Corrigendum to “Estimating the reproduction number, R0, from individual-based models of tree disease spread” [Ecological Modelling 489 (2024) 110630] Ecol Modell (IF 3.1) Pub Date : 2024-02-06 Laura E. Wadkin, John Holden, Rammile Ettelaie, Melvin J. Holmes, James Smith, Andrew Golightly, Nick G. Parker, Andrew W. Baggaley
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A model for understanding the effects of flow conditions on oyster reef development and impacts to wave attenuation Ecol Modell (IF 3.1) Pub Date : 2024-01-31 Rebecca E. Stanley, Matthew V. Bilskie, C. Brock Woodson, James E. Byers
Nature-based solutions (NBS) can be used as an alternative or in conjunction with conventional coastal defense infrastructure for flood hazard mitigation. NBS can provide resilience and ancillary benefits, such as ecosystem enhancement. Oyster reefs, an example of NBS, act as natural breakwaters and provide ecological habitat for numerous species. The effectiveness of oyster reefs as NBS depends on
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Simulating productivity changes of epipelagic, mesopelagic, and bathypelagic taxa using a depth-resolved, end-to-end food web model for the oceanic Gulf of Mexico Ecol Modell (IF 3.1) Pub Date : 2024-01-25 Stacy Calhoun-Grosch, Jim J. Ruzicka, Kelly L. Robinson, Verena H. Wang, Tracey Sutton, Cameron Ainsworth, Frank Hernandez
Open-ocean and deep-sea ecosystems can be difficult to model due to the challenges of incorporating important dynamics such as diel vertical migration and particle sinking, as well as the absence of long-term datasets for deep-sea taxa abundance, distribution, and physiological parameters. The data collection that followed the Deepwater Horizon Oil Spill provided the unique opportunity to model the