Silakhori et al. (2025) Investigating the nexus of climate change, land use change, and desertification using machine learning, stochastic models, and projected climate change scenarios

Identification

• Journal: Elsevier eBooks
• Year: 2025
• Date: 2025-12-13
• Authors: Esmaeil Silakhori, Aiding Kornejady
• DOI: 10.1016/b978-0-443-30036-3.00020-4

Research Groups

• Department of Arid Zone Management, Gorgan University of Agricultural Sciences and Natural Resources (GUASNR)
• Research Department of Natural Resources, Golestan Agricultural and Natural Resources Research and Education Center, AREEO

Short Summary

This paper investigates the complex interplay between climate change, land use change, and desertification, employing machine learning and stochastic models with projected climate change scenarios.

Objective

• To investigate the nexus of climate change, land use change, and desertification.

Study Configuration

• Spatial Scale: Not specified in the provided text.
• Temporal Scale: Future projections based on climate change scenarios (specific timeframes not detailed).

Methodology and Data

• Models used: Machine learning models, stochastic models.
• Data sources: Projected climate change scenarios (specific sources not detailed).

Main Results

• No results are presented in the provided introductory text.

Contributions

• The article aims to contribute by applying machine learning and stochastic models to analyze the complex interplay of climate change, land use change, and desertification, integrating projected climate change scenarios.

Funding

• Not specified in the provided text.

Citation

@article{Silakhori2025Investigating,
  author = {Silakhori, Esmaeil and Kornejady, Aiding},
  title = {Investigating the nexus of climate change, land use change, and desertification using machine learning, stochastic models, and projected climate change scenarios},
  journal = {Elsevier eBooks},
  year = {2025},
  doi = {10.1016/b978-0-443-30036-3.00020-4},
  url = {https://doi.org/10.1016/b978-0-443-30036-3.00020-4}
}