Bhat et al. (2025) Forecasting the Future of Food: An Integrated Review of Crop and Climate Simulation Models

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: International Journal of Environment and Climate Change
• Year: 2025
• Date: 2025-11-11
• Authors: Shabir Ahmad Bhat, Aadil Akbar Wani, Tanveer Bhat, Basharat Bashir, Saima Afzal, Insha Ali, Iqra Javid, Nazir Hussain, Marifa Gulzar, Bisma Nazir, Nadeem Nissar
• DOI: 10.9734/ijecc/2025/v15i115117

Research Groups

Not specified in the provided text, as this is a review paper.

Short Summary

This review synthesizes the structure, applications, and limitations of prominent crop and climate simulation models (DSSAT, APSIM, Aqua Crop, WOFOST, InfoCrop) to inform climate-resilient agricultural planning and discusses their integration with climate projection tools.

Objective

• To integrate the structure, applications, and limitations of prominent crop and climate simulation models (DSSAT, APSIM, Aqua Crop, WOFOST, InfoCrop).
• To emphasize the application of these models in informing climate-resilient agricultural planning.
• To examine the coupling of these models with climate projection tools.
• To discuss progress in model integration, handling uncertainty, and regional adaptation in agricultural modeling.

Study Configuration

• Spatial Scale: Global to regional (as a review of models applicable across various scales).
• Temporal Scale: Future projections, long-term (focus on climate futures and long-term food security).

Methodology and Data

• Models used: DSSAT, APSIM, Aqua Crop, WOFOST, InfoCrop, and general climate projection tools.
• Data sources: Not applicable for this review paper itself; however, the discussed models incorporate biological, environmental, and climatic factors from various sources (e.g., satellite, observation, reanalysis data for climate and environmental inputs).

Main Results

• A comprehensive integration of the structure, applications, and limitations of five prominent crop and climate simulation models: DSSAT, APSIM, Aqua Crop, WOFOST, and InfoCrop.
• Highlighting the critical role of these models in informing climate-resilient agricultural planning.
• An examination of methodologies for coupling crop models with climate projection tools.
• A discussion on advancements in model integration, strategies for handling uncertainty, and approaches for regional adaptation in agricultural contexts.

Contributions

• Provides a consolidated overview of leading crop and climate simulation models, serving as a valuable resource for researchers and policymakers.
• Offers guidance on leveraging these models for developing climate-resilient agricultural strategies.
• Advances the understanding of model integration, uncertainty management, and regional adaptation in the context of climate change impacts on agriculture.

Funding

Not specified in the provided text.

Citation

@article{Bhat2025Forecasting,
  author = {Bhat, Shabir Ahmad and Wani, Aadil Akbar and Bhat, Tanveer and Bashir, Basharat and Afzal, Saima and Ali, Insha and Javid, Iqra and Hussain, Nazir and Gulzar, Marifa and Nazir, Bisma and Nissar, Nadeem},
  title = {Forecasting the Future of Food: An Integrated Review of Crop and Climate Simulation Models},
  journal = {International Journal of Environment and Climate Change},
  year = {2025},
  doi = {10.9734/ijecc/2025/v15i115117},
  url = {https://doi.org/10.9734/ijecc/2025/v15i115117}
}