One of the world's largest revegetation programs, the Grain for Green Project (GfGP), has been taking place on the Loess Plateau of China since 1999. Such massive revegetation causes changes in the region's hydrological cycle, water availability, and ecological sustainability through enhanced evapotranspiration (ET). Here we quantify effects of the GfGP's revegetation on ET over this water-stressed region. Our approach involves use of a modified Priestley-Taylor Jet Propulsion Laboratory (PT-JPL) model, incorporating vegetation dynamics as a new component. The original PT-JPL model has been expanded from site scale to regional scale, thereby allowing its application to the Loess Plateau. The modified PT-JPL model was calibrated and validated against flux tower-measured and water balance-based ET observations. The model performed well at a regional scale with the incorporation of vegetation dynamics. To quantify the net effect of revegetation on evaporative water consumption after the GfGP, we compared scenarios with and without revegetation. We find the revegetation has led to a significant increase in ET across the Loess Plateau, of 4.39 mm/yr averaged over the past 15 years (mean annual precipitation was 464 mm). Compared with the no revegetation scenario, the GfGP revegetation appreciably enhanced evaporative water consumption across the Loess Plateau, by approximately 31 × 10 8 m 3 /yr (or 4.90 mm/yr). Our findings suggest that to maintain ecologically sustainable restoration and rational use of water resources, factors including the strength of revegetation and the relationship between evaporative water consumption and revegetation type should be considered. Key Points:• The PT-JPL model has been upgraded to allow incorporation of vegetation dynamics at a regional scale • The extended PT-JPL model performs well at regional scale • Compared with a no-revegetation scenario, revegetation increases evaporative water consumption byapproximately 31 × 108 m3/yr (4.90 mm/yr) across theLoess Plateau, China Supporting Information:• Supporting Information S1

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Vegetation is the major component of the terrestrial ecosystem. Understanding both climate change and anthropogenically induced vegetation variation is essential for ecosystem management. In this study, we used an ensemble empirical mode decomposition (EEMD) method and a linear regression model to investigate spatiotemporal variations in the normalized difference vegetation index (NDVI) over the agropastoral ecotone of northern China (APENC) during the 1982–2015 period. A quantitative approach was proposed based on the residual trend (RESTREND) method to distinguish the effects of climatic (i.e., temperature (TEM), precipitation (PRE), total downward solar radiation (RAD), and near surface wind speed (SWS)) and anthropogenic effects on vegetation variations. The results showed that the NDVI exhibited a significant greening trend of 0.002 year−1 over the entire study period of 1982–2015 and that areas with monotonous greening dominated the entire APENC, occupying 40.97% of the region. A browning trend was also found in the central and northern parts of the APENC. PRE presented the highest spatial correlation with the NDVI and climate factors, suggesting that PRE was the most important factor affecting NDVI changes in the study area. In addition, the RESTREND results indicated that anthropogenic contributions dominated the vegetation variations in the APENC. Therefore, reusing farmland for grass and tree planting made a positive contribution to vegetation restoration, while deforestation, overgrazing, and the reclamation of grasslands were the opposite. In addition, with the continuous implementation of national ecological engineering programs such as the Grain to Green Program, positive human activity contributions to vegetation greening significantly increased. These results will support decision- and policy-making in the assessment and rehabilitation of ecosystems in the study region.

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