A systematic PLS-SEM approach on assessment of indigenous knowledge in adapting to floods; A way forward to sustainable agriculture
Summary. Indigenous knowledge significantly influences how farmers adapt to floods and practice sustainable agriculture. The study identifies key factors affecting farmers' flood knowledge through statistical analysis, with age showing no relationship to this knowledge. The findings support policy recommendations for governments to develop integrated flood management strategies that protect farmers, ecosystems, and food systems while promoting sustainable agricultural development.
Cite this article
Sohail, M. T., & Chen, S.. (2022). A systematic PLS-SEM approach on assessment of indigenous knowledge in adapting to floods; A way forward to sustainable agriculture. Frontiers in Plant Science. https://doi.org/10.3389/fpls.2022.990785
Sohail, Muhammad Tayyab, and Shaoming Chen. “A systematic PLS-SEM approach on assessment of indigenous knowledge in adapting to floods; A way forward to sustainable agriculture.” Frontiers in Plant Science, 2022. https://doi.org/10.3389/fpls.2022.990785.
Sohail, Muhammad Tayyab, and Shaoming Chen. 2022. “A systematic PLS-SEM approach on assessment of indigenous knowledge in adapting to floods; A way forward to sustainable agriculture.” Frontiers in Plant Science. https://doi.org/10.3389/fpls.2022.990785.
@article{sohail-2022-systematic-pls-sem-approach-assessment,
title = {A systematic PLS-SEM approach on assessment of indigenous knowledge in adapting to floods; A way forward to sustainable agriculture},
author = {Muhammad Tayyab Sohail and Shaoming Chen},
journal = {Frontiers in Plant Science},
year = {2022},
doi = {10.3389/fpls.2022.990785},
url = {https://doi.org/10.3389/fpls.2022.990785}
}
TY - JOUR TI - A systematic PLS-SEM approach on assessment of indigenous knowledge in adapting to floods; A way forward to sustainable agriculture AU - Muhammad Tayyab Sohail AU - Shaoming Chen JO - Frontiers in Plant Science PY - 2022 DO - 10.3389/fpls.2022.990785 UR - https://doi.org/10.3389/fpls.2022.990785 ER -
Details
- DOI
- 10.3389/fpls.2022.990785
- Countries
- China
- Regions
- Asia
- Categories
- indigenous-innovation, climate-and-environment, food-systems
- Added
- 2026-04-28