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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
Continuous cover forestry (CCF) is forest management based on ecological principles and this management type is currently re-visited in many countries. CCF woodlands are known for their structural diversity in terms of tree size and species and forest planning in CCF needs to make room for multiple forest development pathways as opposed to only one management target. As forest management diversifies
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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
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Estimating the reproduction number, R0, from individual-based models of tree disease spread Ecol Modell (IF 3.1) Pub Date : 2024-01-25 Laura E. Wadkin, John Holden, Rammile Ettelaie, Melvin J. Holmes, James Smith, Andrew Golightly, Nick G. Parker, Andrew W. Baggaley
Tree populations worldwide are facing an unprecedented threat from a variety of tree diseases and invasive pests. Their spread, exacerbated by increasing globalisation and climate change, has an enormous environmental, economic and social impact. Computational individual-based models are a popular tool for describing and forecasting the spread of tree diseases due to their flexibility and ability to
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Simulation of gross primary productivity and impact of drought in Liulin watershed of Taihang mountains over 2000–2020 Ecol Modell (IF 3.1) Pub Date : 2024-01-23 Junzhi Zhou, Ting Zhang, Jianzhu Li, Ping Feng
As the largest flux in the global terrestrial carbon cycle, Gross Primary Productivity (GPP) is a key factor for the terrestrial carbon budget. Based on the eddy flux tower data, remote sensing data and the meteorological precipitation data, we calibrated three parameters of maximum light use efficiency, optimum temperature, and maximum temperature in the Vegetation Photosynthesis Model (VPM) to reproduce
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Ecological flow considering hydrological season and habitat suitability for a variety of fish Ecol Modell (IF 3.1) Pub Date : 2024-01-20 Xinyu Li, Qirui Zhang, Yanfang Diao, Yuzhi Shi, Shuxian Li, Chuanhui Yao, Rui Su, Shichao Guo
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Improving the representation of smallholder farmers’ adaptive behaviour in agent-based models: Learning-by-doing and social learning Ecol Modell (IF 3.1) Pub Date : 2024-01-22 Cristina I. Apetrei, Nikita Strelkovskii, Nikolay Khabarov, Valeria Javalera Rincón
Computational models have been used to investigate farmers’ decision outcomes, yet classical economics assumptions prevail, while learning processes and adaptive behaviour are overlooked. This paper advances the conceptualisation, modelling and understanding of learning-by-doing and social learning, two key processes in adaptive (co-)management literature. We expand a pre-existing agent-based model
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Modelling the transmission and spread of yellow fever in forest landscapes with different spatial configurations Ecol Modell (IF 3.1) Pub Date : 2024-01-20 Antônio Ralph Medeiros-Sousa, Martin Lange, Luis Filipe Mucci, Mauro Toledo Marrelli, Volker Grimm
Yellow fever (YF) is a major public health issue in tropical and subtropical areas of Africa and South America. The disease is caused by the yellow fever virus (YFV), an RNA virus transmitted to humans and other animals through the bite of infected mosquitoes (Diptera: Culicidae). In Brazil and other South American countries, YFV is restricted to the sylvatic cycle, with periodic epizootic outbreaks
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Sensitivity analysis of the FullCAM model: Context dependency and implications for model development to predict Australia's forest carbon stocks Ecol Modell (IF 3.1) Pub Date : 2024-01-20 David I. Forrester, Jacqueline R. England, Keryn I. Paul, Stephen H. Roxburgh
In Australia, the Full Carbon Accounting Model (FullCAM) is used by the Australian Government for international reporting of greenhouse gas emissions and to predict carbon stock changes for carbon abatement projects. Consequently, over the last 20 years, it has been routinely applied at continental, regional and local scales, and has been subject to on-going development to improve its accuracy and
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Assessing regional connectivity patterns of bivalvia in fragmented archipelagos: Insights from biophysical modeling in French Polynesia Ecol Modell (IF 3.1) Pub Date : 2024-01-20 H. Raapoto, C.J. Monaco, S. Van Wynsberge, R. Le Gendre, J. Le Luyer
Larval dispersal and connectivity are key processes that drive marine metapopulation dynamics, and therefore should be well characterized when designing effective management strategies. While temperature and food availability can structure marine species connectivity patterns, their contribution has not been thoroughly investigated in highly fragmented archipelagos. We used biophysical modeling of
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Upwind flight partially explains the migratory routes of locust swarms Ecol Modell (IF 3.1) Pub Date : 2024-01-19 Maeva Sorel, Pierre-Emmanuel Gay, Camille Vernier, Sory Cissé, Cyril Piou
To be efficient, locust swarm control must focus on the place where eggs are laid and hopper bands may appear. But swarms travel a lot and among all the places likely to host them, there is a need to predict to which exactly they will fly. It is then essential to consider movement dynamics to anticipate any displacement that may lead to a further reproduction of locust swarms. Swarms mostly fly downwind
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An urban system mathematical approach with human factor: The case of pedestrianization in a consolidated area Ecol Modell (IF 3.1) Pub Date : 2024-01-18 Ana Jacinta Soares, Giorgio Tosato
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Pop-up satellite archival tags and an individual-based model provide new insights on behavioural thermoregulation in migrating ovigerous American lobster Ecol Modell (IF 3.1) Pub Date : 2024-01-19 Patricia H. Hanley, Eric P. Bjorkstedt, Bryan L. Morse, Rémy Rochette
Ovigerous American lobsters, Homarus americanus, in the Bay of Fundy undertake seasonal migrations, which are thought to improve the thermal conditions experienced by their embryos. However, the complete thermal and bathymetric history of such females has never been characterized. To this end, we deployed pop-up satellite archival tags on two ovigerous females (160 mm carapace length) in the Bay of
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A new distributional model coupling environmental and biotic factors Ecol Modell (IF 3.1) Pub Date : 2024-01-17 Trinidad Ruiz Barlett, María Fabiana Laguna, Guillermo Abramson, Adrian Monjeau, Gabriel Martin
Species distribution models (SDM) are the spatial surrogate of the suitability of a species in the biophysical aspect, since they are based on predicting their presence using climatic and environmental indicators. SDMs are satisfactory at regional scales, where biological interactions such as predation and competition do not influence distribution. However, at the local scale, they are incomplete for
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Plastic trade-off: Impact of export and import of waste plastic on plastic dynamics in Asian region Ecol Modell (IF 3.1) Pub Date : 2024-01-15 Tadanobu Nakayama, Masahiro Osako
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Improved forest canopy evaporation leads to better predictions of ecohydrological processes Ecol Modell (IF 3.1) Pub Date : 2024-01-13 Henrique Haas, Latif Kalin, Haw Yen
Canopy evaporation (Ei) is a vital process in forest ecosystems impacting hydrology and biogeochemistry through the redistribution of gross rainfall and gradual infiltration of water into the soil profile. Inaccurate representation of Ei in models may lead to flawed predictions of ecohydrological processes such as water availability, soil erosion, nutrient transport, and ecosystem productivity, thus
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Climatic sensitivity of seasonal ice-cover, water temperature and biogeochemical cycling in Lake 239 of the Experimental Lakes Area (ELA), Ontario, Canada Ecol Modell (IF 3.1) Pub Date : 2024-01-13 Yonas Dibike, Rebecca Marshall, Laurent de Rham
Regional climate plays an important role on in-lake physical and biogeochemical processes and determines the state of water quality and ecology of the lakes. This paper presents the result of a one-dimensional numerical modelling of lake ice cover, water temperature, as well as nutrient and phytoplankton dynamics in Lake 239 (Rawson Lake) located in the Experimental Lakes Area (ELA), Ontario, Canada
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Oak regeneration facing deer browsing: Can competition between saplings offset the diversion effect? A simulation experiment Ecol Modell (IF 3.1) Pub Date : 2024-01-07 Julien Barrere, Gauthier Ligot, Vincent Boulanger, Catherine Collet, Benoît Courbaud, François de Coligny, Anders Mårell, Sonia Saïd, Philippe Balandier
The constraint caused by wild ungulates on forest regeneration is increasing worldwide. Hypotheses for plant association effects predict that species susceptible to herbivory can gain protection from other neighbouring plant species. In theory, such interactions could help limit the impact of browsing on the regeneration of specific tree species. However, the presence of neighbouring species can also
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From dynamics to sustainability: Modeling the shrimp (Penaeus chinensis) fishery in Shandong, China Ecol Modell (IF 3.1) Pub Date : 2024-01-05 Xin Liu, Ruiying Geng, Xin Lv, Xiaoke Hu, Thang Nam Do, Meng Liu
Since 1984, the stocking of shrimp juveniles has been implemented in the Bohai Sea, China as a strategy to manage the depleted marine fishery. Subsequently, major harvest restriction policies including “Dual Control” (1987), “Summer Fishing Moratorium” (1995), and “Fishermen Transfer and Fishing Fleet Scraping” (2003) were gradually implemented to reduce fishing intensity. However, the relative effectiveness
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Analysis of carbon emission drivers and peak carbon forecasts for island economies Ecol Modell (IF 3.1) Pub Date : 2024-01-04 Geng Wang, Yan Feng
Sea islands are an essential support for expanding the blue economic space, and the study of the carbon emissions of Changhai County's island economies and their carbon peaking time is of great significance for achieving the goal of building an ecological low-carbon demonstration island with northern characteristics in Changhai County. In this study, the Logarithmic Mean Divisia Index (LMDI) method
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Predicting restoration and aquaculture potential of eastern oysters through an eco-physiological mechanistic model Ecol Modell (IF 3.1) Pub Date : 2024-01-02 Romain Lavaud, Megan K La Peyre, Brady Couvillion, Jennifer Beseres Pollack, Vincent Brown, Terence A Palmer, Barry Keim
A simple, non-negotiable truth of ensuring success in the restoration of ecological engineers (EE) and the functions they support is the need for the focal species to survive, grow and reproduce. Using mechanistic modeling, such as a dynamic energy budget (DEB), to map an EE's fundamental niche supports restoration and management predictive of EE resilience under current and future conditions. One
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Evaluating ecological sustainability of mechanized and traditional systems of damaskrose production using extended exergy analysis Ecol Modell (IF 3.1) Pub Date : 2023-12-27 Fatemeh Nakhaii, Seyed Ahmad Ghanbari, Mohammad Reza Asgharipour, Esmaeel Seyedabadi, Enrico Sciubba
Environmental resource efficiency is a major challenge in the management of agroecosystems and their sustainability. The Extended Exergy Analysis (EEA) is a novel approach that assesses the total amount of resources extracted from the environment to produce agroecosystem products. This study applied the EEA to compare the sustainable development of Damask rose flower production in two mechanized and
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Calibration and validation of the AquaCrop model for production arrangements of forage cactus and grass in a semi-arid environment Ecol Modell (IF 3.1) Pub Date : 2023-12-29 Antonio Gebson Pinheiro, Cleber Pereira Alves, Carlos André Alves de Souza, George do Nascimento Araújo Júnior, Alexandre Maniçoba da Rosa Ferraz Jardim, José Edson Florentino de Morais, Luciana Sandra Bastos de Souza, Daniela de Carvalho Lopes, Antonio José Steidle Neto, Abelardo Antonio de Assunção Montenegro, João Emanoel Ambrósio Gomes, Thieres George Freire da Silva
Understanding the best strategies for growing forage plants is important in balancing livestock production, as is the improvement of management techniques aimed at increasing food production. Models that simulate plant growth are therefore important tools for agricultural planning. The aim of this study was to calibrate and validate the AquaCrop model for agricultural systems of the forage cactus,
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Exploring ecological carbon sequestration advantage and economic responses in an ecological security pattern: A nature-based solutions perspective Ecol Modell (IF 3.1) Pub Date : 2023-12-27 Lin Wang, Junsan Zhao, Yilin Lin, Guoping Chen
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The influence of the number and distribution of background points in presence-background species distribution models Ecol Modell (IF 3.1) Pub Date : 2023-12-27 Anna M. Whitford, Benjamin R. Shipley, Jenny L. McGuire
Species distribution models (SDMs), which relate recorded observations (presences) and absences or background points to environmental characteristics, are powerful tools used to generate hypotheses about the biogeography, ecology, and conservation of species. Although many researchers have examined the effects of presence and background point distributions on model outputs, they have not systematically
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Integration of life cycle and habitat conditions in modeling fish biomass in the floodplain of the Lower Mekong Basin Ecol Modell (IF 3.1) Pub Date : 2023-12-27 Sophanna Ly, Sovannara Uk, Vouchlay Theng, Vinhteang Kaing, Chihiro Yoshimura