4.7 Article

Assessing the Relative Importance of Climatic and Hydrological Factors in Controlling Sap Flow Rates for a Riparian Mixed Stand

Journal

AGRONOMY-BASEL
Volume 13, Issue 1, Pages -

Publisher

MDPI
DOI: 10.3390/agronomy13010008

Keywords

groundwater dependent ecosystem; phreatophyte; evapotranspiration; sap flow; random forest modeling

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Evapotranspiration by phreatophytes in riparian zones is an important component of the water balance. The factors influencing evapotranspiration, such as climatic conditions, species type, depth to groundwater, and distance to surface water, are not well understood. A field experiment in North Queensland, Australia, investigated these factors using non-parametric methods, revealing the relative importance of distance from surface water, depth to groundwater, and species in determining sap flow rates.
Evapotranspiration by phreatophytes in riparian zones makes up a large component of the water balance. However, our understanding of the relative importance of controlling factors such as climatic conditions, species type, depth to groundwater and distance to surface water in riparian zones remains a significant knowledge gap. A field experiment was conducted in an irrigated catchment in North Queensland, Australia, to investigate the factors controlling evapotranspiration by groundwater dependent trees. The sap flow of four tree species was measured, along with soil moisture, groundwater levels and local climatic conditions. The relative influence of species, hydrologic and climate factors, and measured variables were investigated with two non-parametric methods: random forest and Principal Component Analysis (PCA). Field monitoring data revealed differences in sap flow rates and diurnal sap flow trends between species. Distance from surface water explained the most variance in sap flow rates, followed by depth to groundwater and species, based on random forest modeling. The sap flow rates for some of the Eucalyptus tessellaris trees at this site reduced as groundwater levels declined. Overall, results demonstrate the value that can be gained from applying non-parametric methods, such as random forest and PCA, to investigate the relative importance of the factors influencing evapotranspiration.

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