Predatory dynamics in susceptible and resistant $\textit{Eriopis connexa}$ populations
The ladybird $\textit{Eriopis connexa}$ (Germar, 1824), a voracious aphid predator, faces challenges from insecticide applications, compromising biological control. As a result, there has been an increase in the number of studies analysing the resistance and susceptibility of ladybirds. Some studies have found that resistant populations exhibit distinct predation and foraging behaviour compared to susceptible ones. This study models the population dynamics of resistant and susceptible $\textit{E. connexa}$ preying on $\textit{Aphis gossypii}$ Glover, 1877 and $\textit{Myzus persicae}$ (Sulzer, 1776). We constructed a logistic model with density dependence and type-II functional response to analyse predation dynamics, incorporating bifurcation analysis on predation parameters (attack rate and handling time) and the mortality rate of susceptible ladybirds. We simulated scenarios with/without insecticide application and with/without aphid resistance. To simulate the effects of insecticide applications, the parameters related to aphids' intrinsic growth rate ($r_1$ and $r_2$) change to reflect the responses of susceptible and resistant populations. The same approach is used concerning the mortality rate of ladybirds ($d_2$ and $d_3$). Our results demonstrate that mortality, attack rate, and handling time are critical in shaping predator-prey interactions. Temporal simulations revealed fluctuating abundances, highlighting the fragility of these interactions under insecticide stress. Therefore, this study contributes to understanding the ecological implications of insecticides, which disrupt natural predation dynamics, and shows how variations in behavioural rates can impact prey control. This research demonstrated the importance of integrated strategies that balance insecticide applications with preserving natural enemies and promoting sustainable agricultural practices.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
LLM Benchmark Datasets Should Be Contamination-Resistant
Benchmark datasets are critical for reproducible, reliable, and discriminative evaluation of LLMs. However, recent studies reveal that many benchmark datasets are included in pretraining corpora, i.e., $\textit{contamina…
Dynamics and numerical simulations to predict empirical antibiotic treatment of multi-resistant Pseudomonas aeruginosa infection
This work discloses an epidemiological mathematical model to predict an empirical treatment for dogs infected by Pseudomonas aeruginosa. This dangerous pathogen is one of the leading causes of multi-resistant infections …
Decision MakingSuppressing evolution through environmental switching
Ecology and evolution under changing environments are important in many subfields of biology with implications for medicine. Here, we explore an example: the consequences of fluctuating environments on the emergence of a…
Competing Epidemics on Graphs -- Global Convergence and Coexistence
The dynamics of the spread of contagions such as viruses, infectious diseases or even rumors/opinions over contact networks (graphs) have effectively been captured by the well known \textit{Susceptible-Infected-Susceptib…
Defending Diffusion Models Against Membership Inference Attacks via Higher-Order Langevin Dynamics
Recent advances in generative artificial intelligence applications have raised new data security concerns. This paper focuses on defending diffusion models against membership inference attacks. This type of attack occurs…