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Generic physiologically-based population dynamics model for plant pests

EUBA-EFSA-2025-PLANTS-05-01-Lot1
Deadline:
21 Apr 2026

Development of generic physiologically-based models simulating plant pest population dynamics to inform pest management and predict distribution under varying environmental conditions.

High

Complexity

€750K

Budget

Low

Success Rate

Summary

The goal of this grant is to support the development of generic physiologically-based population dynamics models for plant pests. These models are designed to simulate the biological and eco-physiological processes that drive the population dynamics of plant pests, considering both spatial and temporal dimensions. By incorporating a mechanistic understanding of key life history traits such as development, mortality, and reproduction, the models aim to quantify potential population abundance and predict geographical distribution. The overarching objective is to provide robust, science-based tools that can inform pest management strategies and improve the understanding of pest population behavior under varying environmental conditions.

Eligibility for this grant is typically extended to researchers, academic institutions, and organizations with expertise in population modeling, plant pest biology, and eco-physiology. Applicants are expected to have a strong background in quantitative modeling and a demonstrated capacity to integrate biological data into simulation frameworks. Collaborative proposals that bring together multidisciplinary teams are often encouraged to ensure comprehensive model development and validation.

The impact of this grant is significant for agricultural and environmental management. By enabling the creation of generic, physiologically-based models, the grant supports the development of predictive tools that can be adapted to various pest species and ecosystems. These models can enhance early warning systems, guide targeted interventions, and ultimately contribute to sustainable pest management practices, reducing crop losses and supporting food security.

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Topics

Agricultural and Biological Sciences

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