The global agricultural landscape is increasingly threatened by emerging pests, driven by factors such as climate change, international trade, agricultural intensification, and ecological imbalances. These pests pose significant risks to food security, biodiversity, and economic stability. Effective management of these invasive and newly identified species demands innovative approaches and multidisciplinary collaboration.
This special issue aims to provide a comprehensive platform for exploring the biology, ecology, and management of emerging agricultural pests. It invites original research, reviews, and case studies addressing the identification, monitoring, and sustainable management of these pests. Contributions may focus on molecular insights, innovative control strategies, predictive modeling, or policy frameworks aimed at mitigating pest impacts.
Key areas of interest include:
- Identification and characterization of emerging pests using molecular and morphological tools.
- Ecological and climatic factors driving pest emergence and spread.
- Advances in biological, cultural, and chemical control methods for sustainable pest management.
- Use of genomic and transcriptomic approaches to understand pest adaptation and resistance mechanisms.
- Role of big data, artificial intelligence, and remote sensing in pest surveillance and risk assessment.
This collection seeks to bridge gaps in our understanding of pest dynamics and encourage the development of holistic, innovative solutions to ensure resilient agricultural systems. It welcomes contributions from entomologists, ecologists, agricultural scientists, policymakers, and other stakeholders engaged in addressing the pressing challenges posed by emerging pests in global agriculture.
The global agricultural landscape is increasingly threatened by emerging pests, driven by factors such as climate change, international trade, agricultural intensification, and ecological imbalances. These pests pose significant risks to food security, biodiversity, and economic stability. Effective ...
