Yun Xie's research while affiliated with Beijing Normal University and other places

... This has been due in part to limited measurement and quantification of gully erosion with sufficiently fine spatial detail (e.g., Codru et al., 2023;Raj et al., 2022). Digital elevation models (DEMs) have helped to address this limitation, enabling investigation of gully occurrence in the landscape (e.g., Garosi et al., 2018;Jiang et al., 2021;Li et al., 2022) and drivers of gully expansion (e.g., De Geeter et al., 2023Micallef et al., 2021;Tang et al., 2022). However, DEM spatial resolution affects the accuracy of model results (Chowdhuri et al., 2021;Dai et al., 2021). ...

... In view of the crop growth models, remote sensing observation data, and assimilation units used in regional crop yield simulation studies based on data assimilation technology, most of the crop growth models used are general models represented by WOFOST (Figure 9a), and the remote sensing observation data are mainly optical remote sensing data such as MODIS and Landsat series (Figure 9b). The assimilation unit is mainly based on a spatial grid of 500 m [155][156][157] and 1 km [158][159][160][161][162]. The size of the assimilation unit depends not only on the resolution of satellite remote sensing but also on the resolution of the input parameters (meteorological elements, crop and soil parameters, field management, etc.) of the crop growth models. With improvements in the spatial resolution of satellite remote sensing data, more refined assimilation units can be obtained, and the spatial variability of yield simulations will become significant. ...

... Ollobarren et al. [17] analyzed the soil characteristics that most reflect erodibility for EG erosion in small watersheds in Spain and Italy. Tang et al. [18] investigated the effects of rainfall and contour farming on the development of EGs in croplands at the small watershed scale. The lack of data sources is the most important reason for the limited knowledge of EG distribution and influencing factors at the regional scale. ...

... Zhu et al. [18] explored alternating fresh and saline irrigation methods for winter wheat during different fertility periods, calibrating crop growth and yield accordingly. Cui et al. [19] utilized the one factor at a time (OTA) method to conduct a sensitivity analysis of model parameters, then optimized the sensitive parameters, concluding that the calibrated model could accurately simulate corn and soybean yields in northeast China. ...

... Therefore, regional precipitation changes have been directly linked to variations in sediment discharge, as rainfall is a major driver of water-induced soil erosion (Yao et al., 2013). Precipitation characteristics, an important climate factor, dominate runoff discharge changes, especially for extreme precipitation, which significantly influences annual runoff and sediment yield levels in specific watersheds Tang et al., 2021). Climate warming has led to increased runoff discharge in some rivers due to enhanced precipitation and the melting of glaciers and permafrost (Walling & Fang, 2003). ...

... Several consequences could happen due to increasing soil erosion, such as productivity losses, crop losses, pests and diseases, increased sediment yield in water sources and increased soil erosion (Tang et al., 2021). Preventive measures in relation to SDGs' targets can be implemented to reduce these consequences, especially targets 2.4, 6.3, 13.1, 14.1 and 15.3 activities to manage soil erosion. ...

... According to scholars' definition of the northeast black soil zone and the northeast typical black soil zone [35], the northeast black soil zone is an area with a high concentration of black soils, black calcareous soils, chestnut calcareous soils and gray forest soils. The northeastern typical black soil area is an area of concentrated black soil and black calcareous soil. ...

... The terrain is relatively flat, with a slope of generally 1e6 . According to the soil Taxonomy from the US Department of Agriculture, Sun and Liu (2001) classified the surface soil of the area as Udic Argiboroll, commonly referred to as black soil because of its color (Xie et al., 2019). The thickness of the topsoil is approximately 30e50 cm, with a bulk density of approximately 1.1 g cm À3 and an organic matter content of 4%. ...

... However, runoff factors exhibit variability due to disparities in underlying surface characteristics, including slope, slope length, land use, soil properties, and other pertinent factors [21]. The underlying surface serves as the interface for nutrient transport, with surface runoff's erosive and scouring forces escalating with increased slope and slope length, consequently amplifying nutrient transport capacity [56]. Research has shown significant differences in NPS loading between various soil types [57]. ...

... For example, the color of the former is not as dark as the latter, which is characterized by an accumulation of humified organic matter. The presence of such materials from the underlying horizons in the plough layer is thus used in addition as a basis for the classification of erosion-induced degradation (Battiston et al., 1987;Lin et al., 2019;Rejman et al., 1998). ...