Interactions of Environmental Variables and Water Use Efficiency in the Matopiba Region via Multivariate Analysis

This study aimed to evaluate the interaction of environmental variables and Water Use Efficiency (WUE) via multivariate analysis understand importance each variable in carbon–water balance MATOPIBA. Principal Component Analysis (PCA) was applied reduce spatial dimensionality identify patterns by using following data: (i) LST (MOD11A2) WUE (ratio between GPP-MOD17A2 ET-MOD16A2), based on MODIS orbital products; (ii) Rainfall CHIRPS precipitation product; (iii) slope, roughness, elevation from GMTED SRTM version 4.1 (iv) geographic data, Latitude, Longitude. All calculations were performed R 3.6.3 Quantum GIS (QGIS) 3.4.6. Eight initially used. After applying PCA, only four suitable: Elevation, LST, Rainfall, WUE, with values greater than 0.7. A positive correlation (?0.78) (Elevation, Rainfall) vegetation identified. According KMO test, a series-considered medium obtained (0.7 < 0.8), it explained one PC (PC1). PC1 WUE), among which (0.8 0.9) responsible for detailing 65.77% total variance. Positive scores found states Maranhão Tocantins negative Piauí Bahia. The show areas GPP, ET availability, while water demand LST. It concluded that variations such as can influence local behavior cycle vegetation, impacting