Forest management is a global priority identified by the United Nations and World Bank Sustainable Development Goals (SDGs)[1] and is important in most countries in the world. Satellite images are a freely available and frequently updated data source for forest monitoring. Forest presence can be identified in satellite images for large scale areas by calculating vegetation indices from the spectral bands, which are the colours and near-infrared information captured in the images[2]. Large scale forest cover maps are a transparent tool for identifying forest growth, forest clearing and degradation, and quantifying environmental issues associated with these changes in forest cover such as biodiversity, carbon stocks and social welfare[3]. Examples of these forest cover maps derived from satellite images at global and regional scales include[3-5] and[6]. The benefits of using satellite images to construct large scale forest cover maps have been
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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