What is it about?
In rural and agricultural development, land plays a crucial role in driving productivity. To understand the impact of specific causes or combinations of causes on outcomes, it is essential to identify and establish clear causal relationships. Our study investigates the causal effects of different land use systems against Land Surface Temperature (LST) in Henan Province. We further make land use predictions based on current trends.
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Why is it important?
To understand the impact of specific causes or combinations of causes on outcomes, it is essential to identify and establish clear causal relationships. This study is important as understanding these dynamics through this land use and causality study (1) remains essential for enhancing agricultural informatization, environmental management, and climate-smart choices of local districts, counties and villages across China’s agriculturally important regions and beyond (2) These are particularly important when formulating targeted policy-directives needed to regulate unsustainable landuse processes and undesirable economic trade-offs.
Perspectives
I hope this article make waves among relevant stakeholders. Analyzing land use change through a causality approach, particularly in rural or agriculturally driven areas in Central China, as demonstrated in this study offers valuable insights to industrial players, provincial authorities and the international scientific community.
Dr Isaac Sarfo
Henan University
Read the Original
This page is a summary of: Causal effects and prediction of land use systems in rural landscapes: Evidence from Henan Province, Acta Scientiarum Polonorum Formatio Circumiectus, November 2024, The University of Agriculture in Krakow,
DOI: 10.15576/asp.fc/190971.
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