Abstract
Water resources become scarce due to the melting of glaciers caused by climate change, and water pollution caused by human activities and overuse of freshwater resources are aggravating this phenomenon. Cropland is an essential part of the terrestrial ecosystem, and it is of great importance to make rational use of the limited water resources to have higher water use efficiency (WUE). The quantitative estimation of the ecosystem WUE and tracking its dynamics of croplands is crucial for addressing the impact of future climate change on crop production. Scaling up field observations of flux towers to a large scale remains a challenge and there are few reports on estimating WUE directly from remote sensing data. This study examined the main environmental factors that contribute to changes in WUE of typical crops, and found that the EVI showed strong correlation with the ecosystem WUE of typical croplands, which can be developed to track ecosystem WUE. This study proposed an alternative method exclusively based on MODIS EVI data analysis with an R <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> of nearly 0.90 and a small RMSE, which was much better than the calculations of the MODIS GPP and ET products, and provided an accessible method for modelling the ecosystem WUE to effectively manage water use in croplands.
Highlights
Water resources become scarce due to the melting of glaciers caused by climate change, and water pollution caused by human activities and overuse of freshwater resources are aggravating this phenomenon
This study evaluated the predictive ability of the MODIS GPP, ET and EVI products in estimating the ecosystem water use efficiency (WUE) of typical croplands
It was found that the C4 crop, maize, had a higher multi-year mean ecosystem WUE value of 2.892 g C kg-1 H2O, followed by winter wheat, paddy rice and soybean with values of 1.912 g C kg-1 H2O, 0.932 g C kg-1 H2O and 0.875 g C kg-1 H2O, respectively
Summary
Climate change has significant influence on terrestrial shortages and compromised food safety [5], [6]. Appropriate methods have been explored to existence tactics and response to changes in the hydrological soundly use water resources and improve agricultural WUE in condition in the basin [6]. Ecosystem WUE of crops show a strong response to the and maize in odd years. This site is rain-fed farming systems variation. The EVI has both high temporal and spatial resolution and wide coverage area [20] This method is valid for tracking crop growth phenology, evaluating and monitoring cropland seasonal changes [21], [22], [23], [24], [25]. SITE DESCRIPTIONS We based on four croplands maize, rice, soybean, and winter
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