Abstract
Modeling crop water use and soil moisture availability is becoming increasingly critical, particularly in light of recent drought events. Our study focuses on the spatial application of the AquaCrop model, using a raster-based approach in an R-based environment. The formulated methodology was initially applied and tested on two point-based examples in the Central region of Hungary, followed by the spatial application of the model at the Rákos Stream catchment in the same region. For evaluation purposes, we also utilized satellite-based NDVI data. The results showed that there is a strong correlation between NDVI values and the model-based biomass estimation. We also found that the model simulated the soil moisture content fairly well, with a correlation coefficient of 0.82. While our results support the validity of the applied methodology, it is also clear that input data availability and quality are still critical issues in spatial application of the AquaCrop model.
Funder
National Research, Development and Innovation Fund of Hungary
Subject
Plant Science,Ecology,Ecology, Evolution, Behavior and Systematics
Reference42 articles.
1. The Future of Food and Agriculture—Trends and Challenges. 2022.
2. Water Resources: Agriculture, the Environment, and Society;Pimentel;BioScience,1997
3. Water for Sustainable Food and Agriculture—A report produced for the G20 Presidency of Germany. 2022.
4. Global Water Resources: Vulnerability from Climate Change and Population Growth;Vörösmarty;Science,2000
5. Environmental consequences of increasing production: Some current perspectives;Bennett;Agric. Ecosyst. Environ.,2000
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献