Mathematical Modeling of Population Dynamics of Pollinators: A Survey

In this paper, we develop a systematic review of the existing literature on the mathematical modeling of several aspects of pollinators. We selected the MathSciNet and Wos databases and performed a search for the words "pollinator" and "mathematical model". This search yielded a total of 236 records. After a detailed screening process, we retained 107 publications deemed most relevant to the topic of mathematical modeling in pollinator systems. We conducted a bibliometric analysis and categorized the studies based on the mathematical approaches used as the central tool in the mathematical modeling and analysis. The mathematical theories used to obtain the mathematical models were ordinary differential equations, partial differential equations, graph theory, difference equations, delay differential equations, stochastic equations, numerical methods, and other types of theories, like fractional order differential equations. Meanwhile, the topics were positive bounded solutions, equilibrium and stability analysis, bifurcation analysis, optimal control, and numerical analysis. We summarized the research findings and identified some challenges that could inform the direction of future research, highlighting areas that will aid in the development of future research.

Authors

Institutions

Publication Details

Journal
Biology
Published
2025-09-22
DOI
https://doi.org/10.3390/biology14091308
Citations
2
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
6.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mathematical Modeling of Population Dynamics of Pollinators: A Survey

Aníbal Coronel, Esperanza Lozada, Fernando Huancas, Jorge Torres
2 citations
Biology
Plant and animal studies
6.05
article

Mathematical Modeling of Population Dynamics of Pollinators: A Survey

Aníbal Coronel, Esperanza Lozada, Fernando Huancas, Jorge Torres
article en
2 citations

Abstract

In this paper, we develop a systematic review of the existing literature on the mathematical modeling of several aspects of pollinators. We selected the MathSciNet and Wos databases and performed a search for the words "pollinator" and "mathematical model". This search yielded a total of 236 records. After a detailed screening process, we retained 107 publications deemed most relevant to the topic of mathematical modeling in pollinator systems. We conducted a bibliometric analysis and categorized the studies based on the mathematical approaches used as the central tool in the mathematical modeling and analysis. The mathematical theories used to obtain the mathematical models were ordinary differential equations, partial differential equations, graph theory, difference equations, delay differential equations, stochastic equations, numerical methods, and other types of theories, like fractional order differential equations. Meanwhile, the topics were positive bounded solutions, equilibrium and stability analysis, bifurcation analysis, optimal control, and numerical analysis. We summarized the research findings and identified some challenges that could inform the direction of future research, highlighting areas that will aid in the development of future research.

BiologyVol. 14(9)
University of Bío-Bío (CL), Metropolitan University of Technology (CL)
Openalex Percentile: Top 4%
Plant and animal studies
6.05
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Mathematical Modeling of Population Dynamics of Pollinators: A Survey — Aníbal Coronel, Esperanza Lozada, et al. · Biology (2025) | TGRS Research Map | TGRS