The ecology of animal species’ behaviors in a Solow-type model

• Links human economic activity to shifts in animal behavioral dynamics. • Explores long-run effects of ecological pressure on social-ecological systems. • Reveals tipping points in behavior and capital due to human-environment feedbacks. • Shows how policy can balance growth and behavioral biodiversity preservation. • Integrates ecology, economics, and evolution in a unified dynamic framework. In light of the rapidly expanding body of literature examining the adverse effects of human-induced changes in animal behavior on ecological dynamics, biodiversity conservation, and human well-being, this study investigates a bio-economic dynamic model characterized by a system of three ordinary differential equations. The model incorporates three state variables: K , x , and y . The variable K represents the stock of productive capital in the economy. The variable x denotes the size of the population of animals (from a representative species) exhibiting “typical” behavior; that is, the one that animals would adopt in the absence of human interference (e.g., hunting prey). The variable y denotes the size of the population displaying “non-typical” behavior, adopted either to mitigate the harmful impacts of human activities or to opportunistically exploit anthropogenic resources, such as food by-products. The dynamics of x and y are modelled starting from a system of Lotka-Volterra equations and augmenting it with a component depending on the difference in the payoffs (fitness) of the two behaviors. The stock of capital follows a Solow-type dynamics incorporating defensive expenditure aimed at protecting animals that adopt typical behavior. Our study reveals that the interaction between the dynamics of animal behavior adoption and economic growth can lead to a wide range of equilibrium outcomes. In some equilibria, the animal population fully specializes by adopting either the typical or the non-typical behavior, while in others, a coexistence is observed. We derive policy recommendations to minimize the adoption of non-typical behavior, finding that the optimal ecological outcome is not achieved by maximizing expenditure, but rather by striking a precise balance between ecological defense and economic viability.

Authors

Institutions

Publication Details

Journal
Communications in Nonlinear Science and Numerical Simulation
Published
2025-10-15
DOI
https://doi.org/10.1016/j.cnsns.2025.109416
Primary Topic
Zoonotic diseases and public health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The ecology of animal species’ behaviors in a Solow-type model

Paolo Russu, Angelo Antoci, Danilo Delpini
Communications in Nonlinear Science and Numerical Simulation
Zoonotic diseases and public health
article

The ecology of animal species’ behaviors in a Solow-type model

Paolo Russu, Angelo Antoci, Danilo Delpini
article en

Abstract

• Links human economic activity to shifts in animal behavioral dynamics. • Explores long-run effects of ecological pressure on social-ecological systems. • Reveals tipping points in behavior and capital due to human-environment feedbacks. • Shows how policy can balance growth and behavioral biodiversity preservation. • Integrates ecology, economics, and evolution in a unified dynamic framework. In light of the rapidly expanding body of literature examining the adverse effects of human-induced changes in animal behavior on ecological dynamics, biodiversity conservation, and human well-being, this study investigates a bio-economic dynamic model characterized by a system of three ordinary differential equations. The model incorporates three state variables: K , x , and y . The variable K represents the stock of productive capital in the economy. The variable x denotes the size of the population of animals (from a representative species) exhibiting “typical” behavior; that is, the one that animals would adopt in the absence of human interference (e.g., hunting prey). The variable y denotes the size of the population displaying “non-typical” behavior, adopted either to mitigate the harmful impacts of human activities or to opportunistically exploit anthropogenic resources, such as food by-products. The dynamics of x and y are modelled starting from a system of Lotka-Volterra equations and augmenting it with a component depending on the difference in the payoffs (fitness) of the two behaviors. The stock of capital follows a Solow-type dynamics incorporating defensive expenditure aimed at protecting animals that adopt typical behavior. Our study reveals that the interaction between the dynamics of animal behavior adoption and economic growth can lead to a wide range of equilibrium outcomes. In some equilibria, the animal population fully specializes by adopting either the typical or the non-typical behavior, while in others, a coexistence is observed. We derive policy recommendations to minimize the adoption of non-typical behavior, finding that the optimal ecological outcome is not achieved by maximizing expenditure, but rather by striking a precise balance between ecological defense and economic viability.

Communications in Nonlinear Science and Numerical SimulationVol. 152
University of Sassari (IT)
Openalex Percentile: Top 61%
Zoonotic diseases and public health
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.