Periodic solution analysis of a population dynamics system model for pulsating organisms DOI Creative Commons

Mingyin Du

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract Population dynamics has a wide range of applications in ecological theory, especially the fields plant and animal conservation management development environments. Periodic solution analysis population model for pulsating organisms. The influence impulsive on periodic system is investigated this paper, which considers several types systems with effects. First, differential modeling constantator polluted environment considering time-lagged growth response inputs proves that only ̄ t needs to be sufficiently large have x ( ) > m , such that, seeks unique microbial extinction persistent survivability. Next, integrated pest control modeled find, existence (0, I * )) globally stable. Then, Lur’e biodynamics explored, uncertain parameters, simulated Chua’s circuit determine state trajectory lines all eventually converge 0 stable solutions. Finally, Beddington-DeAngelis predator-prey effects used argue, using correlation priming, z i * ( t ) = exp { x } z_i^*\left( \right) = \exp \left\{ {x_i^*\left( \right)} \right\} i 1, 2, 1 , 2 T {z^*}\left( {\left( {z_1^*\left( \right),\,z_2^*\left( \right)^T} there positive ω − system.

Language: Английский

Artificial Intelligence for Computational Remote Sensing: Quantifying Patterns of Land Cover Types around Cheetham Wetlands, Port Phillip Bay, Australia DOI Creative Commons
Polina Lemenkova

Journal of Marine Science and Engineering, Journal Year: 2024, Volume and Issue: 12(8), P. 1279 - 1279

Published: July 29, 2024

This paper evaluates the potential of using artificial intelligence (AI) and machine learning (ML) approaches for classification Landsat satellite imagery environmental coastal mapping. The aim is to identify changes in patterns land cover types a area around Cheetham Wetlands, Port Phillip Bay, Australia. scripting approach Geographic Resources Analysis Support System (GRASS) geographic information system (GIS) uses AI-based methods image analysis accurately discriminate types. Four ML algorithms are applied, tested compared supervised classification. Technical based on ‘r.learn.train’ module, which employs scikit-learn library Python. methodology includes following algorithms: (1) random forest (RF), (2) support vector (SVM), (3) an ANN-based multi-layer perceptron (MLP) classifier, (4) decision tree classifier (DTC). AI demonstrated robust results classification, with highest overall accuracy exceeding 98% reached by SVM RF models. presented GRASS GIS detected southern Victoria over period 2013–2024. From our findings, use offers effective solutions monitoring change detection multi-temporal RS data. have applications wetland monitoring, urban planning Earth observation

Language: Английский

Citations

5
Divorce Rates Better Predict Population‐Level Reproductive Success in Little Penguins Than Foraging Behaviour or Environmental Factors DOI Creative Commons
Matthew D. Simpson, Ashton L. Dickerson, André Chiaradia

et al.

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 1, 2025

ABSTRACT Understanding the relative contributions of environmental, behavioural and social factors to reproductive success is crucial for predicting population dynamics seabirds. However, these are often studied in isolation, limiting our ability evaluate their combined influence. This study investigates how marine environmental variables, foraging behaviour (divorce), influence little penguins ( Eudyptula minor ) over 13 breeding seasons. By examining together, we aimed identify which most reliable predictor population‐level success. We found that divorce rate was consistent success, with lower annual rates preceding season associated higher hatching fledging Foraging trip duration also influenced but contrasting ways: Longer trips during egg incubation were linked increased while shorter after led Marine conditions had unexpected effects, a Southern Oscillation Index (SOI) correlating improved contrast previous research, sea surface temperature (SST) no significant effect on highlights complexity seabird responses large‐scale oceanographic indices, suggesting SOI SST generally less measures use as indicators Our results suggest could serve valuable, noninvasive index

Language: Английский

Citations

0
Drivers of spatiotemporal community variations in estuarine ecosystems: A case study of the waters adjacent to the Yangtze Estuary DOI
Zhaomin Chen, Cui Liang, Weiwei Xian

et al.

Marine Pollution Bulletin, Journal Year: 2025, Volume and Issue: 217, P. 118078 - 118078

Published: May 7, 2025

Language: Английский

Citations

0
Feeding control and water quality monitoring on bioenergetic fish growth modeling: Opportunities and challenges DOI
Fahad Aljehani, Ibrahima N’Doye, Taous‐Meriem Laleg‐Kirati

et al.

Aquacultural Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 102511 - 102511

Published: Dec. 1, 2024

Language: Английский

Citations

2
Model-based versus model-free feeding control and water-quality monitoring for fish-growth tracking in aquaculture systems DOI
Fahad Aljehani, Ibrahima N’Doye, Taous‐Meriem Laleg‐Kirati

et al.

IFAC Journal of Systems and Control, Journal Year: 2023, Volume and Issue: 26, P. 100226 - 100226

Published: Sept. 3, 2023

Language: Английский

Citations

4
Birds and mammals have natural selection regulated population dynamics DOI Creative Commons
Lars Witting

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2021, Volume and Issue: unknown

Published: Nov. 27, 2021

Abstract Ecological dynamics is increasingly explained by eco-evolutionary processes, with this study analysing natural selection effects on the population of birds and mammals. Fitting single-species dynamic models to 3,369 483 timeseries for 900 species 208 mammals, I find selection-based be 780 (se:1.3) 150,000 (se:2) times more probable than no selection. Selection essential in 79% 92% AIC selected models, explaining 80% variance, median regulation being 1.2 (se:0.11) stronger density regulation. The estimated cyclic damping ratios 0.12 (se:0.0071) 0.062 (se:0.021) periods 8.3 (se:0.99) 7.2 (se:0.85) generations stable cycles around zero. These results resolve several enigmas cycles, highlighting importance integrating into dynamics.

Language: Английский

Citations

4
Periodic solution analysis of a population dynamics system model for pulsating organisms DOI Creative Commons

Mingyin Du

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract Population dynamics has a wide range of applications in ecological theory, especially the fields plant and animal conservation management development environments. Periodic solution analysis population model for pulsating organisms. The influence impulsive on periodic system is investigated this paper, which considers several types systems with effects. First, differential modeling constantator polluted environment considering time-lagged growth response inputs proves that only ̄ t needs to be sufficiently large have x ( ) > m , such that, seeks unique microbial extinction persistent survivability. Next, integrated pest control modeled find, existence (0, I * )) globally stable. Then, Lur’e biodynamics explored, uncertain parameters, simulated Chua’s circuit determine state trajectory lines all eventually converge 0 stable solutions. Finally, Beddington-DeAngelis predator-prey effects used argue, using correlation priming, z i * ( t ) = exp { x } z_i^*\left( \right) = \exp \left\{ {x_i^*\left( \right)} \right\} i 1, 2, 1 , 2 T {z^*}\left( {\left( {z_1^*\left( \right),\,z_2^*\left( \right)^T} there positive ω − system.

Language: Английский

Citations

0