Nitrogen (N) application can improve drought tolerance and water use efficiency (WUE) in crops. Previous studies have shown that aerated irrigation improves crop N absorption and utilization. However, the mechanisms behind the interaction of water and N under aerated drip irrigation and its impact on crop WUE remain unclear. This study conducted a two-year greenhouse experiment with spring-summer and autumn-winter tomato crops to investigate the effects of water and nitrogen coupling on leaf carbon (C) and N content, photosynthetic characteristics, dry matter accumulation, yield, and WUE. The experiment included three irrigation levels (W1, 50% ET c; W2, 75% ET c; W3, 100% ET c) and three N application rates (N1, 0 kg ha –1; N2, 150 kg ha –1; N3, 250 kg ha –1). The results showed that increased N application and irrigation levels significantly increased leaf C and N content, net photosynthetic rate (P n), and stomatal conductance (G s) ( P < 0.05). Under deficit irrigation, N application increased leaf C content by 2.17% and N content by 9.34%, improving leaf photosynthetic capacity and increasing P n by 15.57% and G s by 19.32%. The W2 treatment demonstrated the most pronounced improvements compared to W1. The W3N3 treatment produced the highest dry matter accumulation for both tomato types, with no significant difference from W2N3 ( P > 0.05). The W2N3 treatment produced the highest yield, 8.67–9.13% higher than W3N3. The highest WUE occurred in W2N3 for spring–summer tomato and W1N3 for autumn–winter tomato. Although W1N3 had 1.02% higher WUE than W2N3, it had a 15.25% lower yield. Thus, W2N3 is recommended as the optimal water–nitrogen management strategy for greenhouse tomato production. Correlation analysis revealed that leaf C and N contents positively correlated with P n, dry matter accumulation, and yield, while the leaf ratio of C and N (C/N) negatively correlated with WUE, suggesting that leaf C and N contents regulate tomato WUE. N application under deficit irrigation enhanced leaf C and N contents, improving photosynthetic capacity (P n, G s), dry matter accumulation, yield, and WUE. Regression models suggest that the optimal water and N application rates for greenhouse tomatoes are 192.30–225.67 mm and 205.93–243.43 kg ha -1 for spring-summer tomato, and 162.00–181.18 mm and 194.98–237.73 kg ha -1 and for autumn-winter tomato crops. These findings provide a theoretical basis for water-efficient agricultural practices and sustainable greenhouse tomato production.

Ephemeral gully erosion is a primary mode of soil erosion that is highly visible, affecting soil productivity and restricting land use. Watershed is the basic unit of soil erosion control; existing research has focused on several typical ephemeral gullies or slopes, which do not fully display changes in ephemeral gullies at a watershed scale. This study analyzed the spatial-temporal evolution and development rate of ephemeral gully erosion at the watershed scale on the Loess Plateau from 2009 to 2021 using remote sensing images (0.5 m resolution), unmanned aerial vehicles (UAV), and field investigations. The results revealed that: (1) most ephemeral gullies occurred in southwestern parts of the watershed, with many hills and large slope gradients; (2) average growth rates of each ephemeral gully frequency, length, density, dissection degree, and width were 2.87 km 2 y –1, 1.66 m y –1, 0.12 km km –2 y –1, 0.0125% y –1, and 0.04 m y –1 , respectively; (3) ephemeral gully erosion volume ( V) and length ( L) had a good power function relationship: V = 0 . 0842 L 1 . 1932   ( R 2 = 0 . 80 ) . The root mean square error (RMSE) and coefficient of determination (R 2) between the measured and predicted ephemeral gully volumes suggest that the V–L relationship has a good predictive ability for ephemeral gully volume. Thus, the V–L model was used to evaluate the development rate of ephemeral gully erosion volume in small watersheds from 2009 to 2021, revealing an average value of 743.20 m 3 y –1. This study proposed a feasible model for assessing ephemeral gully volume and volume changes at a watershed scale using high-resolution remote sensing images, providing a reference for understanding the development of ephemeral gully erosion in small watersheds over time.

Partitioning evapotranspiration (ET) into evaporation (E) and transpiration (T) is essential for understanding the global hydrological cycle and improving water resource management. However, ET partitioning in various ecosystems is challenging as some assumptions are restricted to certain areas or plant types. Here, we developed a novel ET partitioning method coupling definitions of leaf and ecosystem water use efficiencies (WUEleaf and WUEeco, respectively). We used 25 eddy covariance flux sites for 196 site-years to evaluate T:ET characteristics of seven plant functional types (PFTs) at different spatiotemporal scales. The results indicated the spatiotemporal characteristics of WUEleaf and WUEeco were not consistent, resulting in T:ET variation in the seven PFTs. Deciduous broadleaf forests had the highest mean annual T:ET (0.67), followed by evergreen broadleaf forests (0.63), grasslands (0.52), evergreen needleleaf forests (0.46), and woody savanna (0.41), and C3 croplands had higher T:ET (0.65) than C4 croplands (0.48). The annual mean leaf area index (LAI) explained about 26% of the variation in T:ET, with the trend in T:ET consistent with the known effects of LAI. The overall trends and magnitude of T:ET in this study were similar to different results of ET partitioning methods globally. Importantly, this method improved T:ET estimation accuracy in vegetation-sparse and water-limited areas. Our novel ET partitioning method is suitable for estimating T:ET at various spatiotemporal scales and provides insight into the conversion of WUE at different scales.

Gully erosion is one of the main modes of slope erosion on the Loess Plateau, which plays a connecting role in the slope gully erosion system. The Loess Plateau has wide and densely distributed gullies. The study selected a typical small watershed in the hilly and gully region of the Loess Plateau to measure the morphological characteristics and spatial-temporal distribution of gullies. A deep learning image semantic segmentation model was used to identify and extract the morphological features of gullies at the watershed scale from 2009 to 2021 based on remote sensing images (0.5 m resolution) and then analyze their temporal and spatial distribution characteristics. The results revealed that: (1) most gullies occurred in the hilly southern parts of the watershed, which has complex landforms and large slope gradients; (2) gully number increased from 1,159 in 2009 to 2,312 in 2021 (average 97 per year), with a frequency development rate of 2.87 km –2 y –1; (3) gully length generally ranged from 25–40 m, with an average growth rate is 1.66 m y –1 and density development rate of 0.12 km km –2 y –1; (4) gully width ranged from 0.5–1.5 m, with an average growth rate of 0.04 m y –1. (5) the total gully area increased from 0.0566 km² in 2009 to 0.1072 km² in 2021, with a development rate of 4,213.39 m² y –1 and dissection degree development rate of 0.0125% y –1. This study provides a theoretical and scientific basis for gully erosion control and eco-environmental protection at the watershed scale on the Loess Plateau.

Extreme meteorological events occur frequently, and changes in the spatial pattern of land use have greatly affected the soil erosion process in the hilly and gully region of the Loess Plateau. As a typical governance watershed in the hilly and gully area of the Loess Plateau, the Jiuyuangou watershed has experienced significant changes in land use and land cover (LULCC) in the past ten years due to the conversion of farmland to forests, economic construction, and abandonment of cultivated land. However, the evolution process of soil erosion under LULCC in the watershed is unclear. This study uses satellite images to extract information on LULCC in the watershed and the Chinese soil loss equation (CSLE) model to evaluate the temporal and spatial evolution of soil erosion in the watershed from 2010 to 2020. The main results showed that: (1) The continuous vegetation restoration project in the watershed reduced soil erosion from 2010 to 2015; however, the frequency of extreme rainfall events after 2015 reduced its impact. The annual average soil erosion modulus decreased from 10.85 t ha –1 yr –1 in 2010 to 8.03 t ha –1 yr –1 in 2015, but then increased to 10.57 t ha –1 yr –1in 2020; (2) The main LULC type in the Jiuyuangou watershed is grassland, accounting for 62.23% of the total area of the watershed, followed by forest land (28.41%), cropland (6.77%), building (2.49%), and water (0.09%). The multi-year average soil erosion modulus for land use type is cropland > grassland > building > forest land; (3) Significant spatial correlations between soil erosion change and LULCC for common ‘no change’ and common ‘gain’ occurred in the settlements, roads, valleys, and areas near the human influences with good soil and water conservation, but not other regions due to the influence of climatic factors (heavy rain events). This study provides a scientific reference for planning and managing water and soil conservation and ecological environment construction in the basin.

Both PU and PC increased maize yield, water use efficiency (WUE), and partial factor productivity from applied N (PFPN), relative to CK. PC increased maize yield more than PU, and had higher soil organic carbon (SOC) content than PU, which was mainly due to the decline in SOC stocks in the 250–2000, 53–250, and <53 μm soil aggregates. The soil bacterial community structure was driven by SOC, C: N ratio, total nitrogen (TN), pH, microaggregates, clay and silt in CK, and by larger macroaggregates and mean weight diameter in PC and PU. Both PC and PU significantly changed soil bacterial community beta diversity, and decreased both positive and negative links of the co-occurrence network, relative to CK. Better soil nutrient conditions in PC explained the small number of positive and negative links between soil bacteria. Our results suggest PM improves maize yield, water and nitrogen use efficiency, and soil aggregate stability while alleviating bacterial competition. However, the reduction of SOC and pH caused by PM still needs our attention. PC alleviates the decline of soil fertility and soil acidification and has higher yield relative to PU. Therefore, we proposed PC is a potential agricultural measure that can replace PU on the Loess Plateau.