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As the most important ecosystem in Beijing, the forest supports a lot of ecosystem services to local and around communities, which plays a key role in the maintenance of urban ecological security. However, the valuation on the forest ecosystem services based on regional scale could not provide precise and reasonable values for forestry sector management. In this study, we estimated the magnitudes and economic values of the forest ecosystem services in Beijing at sublot level. The economic value of forest ecosystem services in Beijing was estimated to be 19 339.71×10 6 yuan (RMB) in 2004. Among all the ecosystem services indicators we estimated in this study, only fruit, timber and part of the recreation (which only include the tourism income from the forest parks and scenic areas, but not include that from other forest types) were measured in the social economic system. As estimated in this study, more than 82.19% of the economic value of forest ecosystem services could not be measured in the socio-economic statistical system. The importance of forest ecosystem services in Beijing to human welfare was underestimated by the socio-economic system. Therefore, the policies about the eco-compensation of forest ecosystem services should be established to maintain the sustainable supply of the forest ecosystem services in Beijing.

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Starting in 1999, the Grain‐for‐Green Programme has been implemented in the Loess Plateau to alleviate the severe soil erosion by converting steeply sloping croplands to forestlands or grasslands. To quantify the effects of these conservation efforts, this study identified the land‐use changes between 2000 and 2015 and quantified their impacts on runoff and erosion using the Soil and Water Assessment Tools (SWAT) and a typical hilly basin, the Yanhe River basin as a case‐study. To heighten the applicability of SWAT to the region, major model parameters were localized and calibrated for the period of 1975–1980 and were then validated for 1981–1987. The R2 and NS validation indices were 0.70 and 0.65 for the monthly runoff and 0.67 and 0.61 for the sediment load, indicating that the model performance was acceptable. Between 2000 and 2015, the slope croplands were reduced by 39.9%, the forestlands increased by 90.2%, and the grasslands increased by 12.9%. These land‐use changes were simulated using SWAT to reduce the basin runoff by 13.8% and the sediment load by 50.7%. Spatial analyses using ArcGIS indicated that the simulated reduction in water yield due to cropland conversion to forestland was more obvious than that due to the conversion to grassland, but the reductions in the sediment yields were similar. The results suggest that the Grain‐for‐Green practice during this period was effective for preventing soil and water losses.