Understanding the changes in soil and water loss is important to make the regional sustainable development strategies for administrative department. This study compiled a series of datasets from 2012 to 2019 at the county scale to investigate the changes in soil and water loss in three government divided regions, i.e., urban region (UR), northeast region (NER) and southeast region (SER) in Chongqing Municipality, China. The area percentage of soil and water loss over moderate degree (OMD) in each year and change rate for the area of soil and water loss (CR) on the basis in 2012 for each region were compared. The area of soil and water loss decreased by 22.3%, 18.7% and 14.2% in the UR, NER and SER, respectively, from 2012 to 2019. The area of soil and water loss in NER almost accounted for 50% of the total area of soil and water loss in Chongqing City. The OMD decreased from 66.06% in 2012 to 24.84% in 2019. The CR always presented significantly declined trend (P < 0.05) with the year in the UR, NER and SER, respectively. Our results are valuable to developing reasonable conservation strategies for the local government to control soil and water loss.

  • Changes in soil and water loss of UR, NER and SER in Chongqing City are examined.

  • The UR shows the highest decline in soil and water loss from 2012 to 2019.

  • The soil and water loss OMD reduces from 2012 to 2019.

  • The change rate for the area of soil and water loss markedly decreases with the year across all regions.

  • The strategies for the development of three regions are provided based on their specificities.

Graphical Abstract

Graphical Abstract

Soil and water loss has been the most serious environmental problem greatly threatening the water quality and agriculture productivity worldwide (Pimentel 2006; Durán Zuazo & Rodríguez Pleguezuelo 2008; Zhao et al. 2015). In China, the area of soil and water loss released by the Ministry of Water Resources is 2,710,800 km2 in 2019, occupying 28.23% of the land area of China. Therein, the area of soil and water loss driven by water erosion is 1,134,700 km2, accounting for 41.86% of the total area of soil and water loss. In recent years, the Ecological Civilization Construction (ECC) has risen to the core national strategy in China, with the aim of improving humankind's survival and development conditions (Zhang et al. 2016). It is bent on the coordination of the relationship between humans and nature in a comprehensive, scientific and systematic manner (UNEP 2016), and emphasizes the importance of sustainable ecological and environmental development for the human material life level (Zhang et al. 2020; Zuo et al. 2021). Therefore, soil and water loss has been a key problem to hamper the sustainable development of society, economy and ecology, which is needed to be urgently controlled in the future (Li et al. 2009; Rodrigo-Comino & Cerdà 2018).

China has attached great importance to the carrying capacity of resources and environment, and the development model has changed from a horizontal cascade development model to a regional integration in-depth development model (Zhang et al. 2021). This encourages the decision-maker to consider the soil and water loss as regional environmental problem to couple with the local development (Brazier et al. 2001). Chongqing Municipality is an important central city of China and is the economic center of the Yangtze River Economic Belt, which is experiencing the most serious soil and water loss. Soil and water loss is restricting the high quality development of society, economy and ecology of Chongqing City (Tan et al. 2020). Recently, the Chongqing government grouped its 38 counties into three regions including urban region (UR), northeast region (NER), and southeast region (SER), based on the different geographical environments and urbanization processes, to accelerate the achievement of a harmonious development in Chongqing City (He et al. 2017). These three regions play different roles in achieving the harmonious development of Chongqing City. The UR is expected to drive the economic development of other two regions, while the government carries out the demand of ‘protection on the large area but development on partial area’ in view of the function of ecological conservation and protection of NER and SER, respectively (He et al. 2017). This may present different characteristics of soil and water loss in response to the different nature and human activities in these three regions, however, such information is not available currently and further interpretation of dynamics of soil and water loss in these regions can greatly contribute to the ECC of Chongqing City.

Previous studies showed that the distributions of soil and water loss had obviously spatial and temporal characteristics (Li et al. 2009; Liu et al. 2016), and unravelling those distribution characteristics will have great significance for making optimal strategies to control soil and water loss and restore impaired ecosystems, which will greatly contribute to the ECC. Commonly, characterization of soil and water loss was conducted in terms of different spatiotemporal scales such as slope runoff plot and watershed scale (Guo et al. 2019). Also, the work of soil and water conservation is often carried out on the basis of administrative units (Tan et al. 2020). Xiao & Xiao (2018) studied the characteristics of soil erosion and conservation and assessed the ecosystem service potential in Chongqing City. Additionally, many researchers have studied the soil and water loss characteristics in the watershed of Three Gorges Reservoir, which is the largest waterbody in Chongqing City (Liu et al. 2016; Chu et al. 2020; Xiao et al. 2020). However, to the best of our knowledge, few studies are performed on the three regions in Chongqing City to provide references and guidelines for controlling regional soil and water loss.

In this study, a series of dataset on soil and water loss were compiled in detail from the annual Bulletin of Soil and Water Conservation in Chongqing City, spanning from 2012 to 2019, to further study the changes of soil and water loss in three different regions in Chongqing City. The specific objectives of this study are to (1) determine the changed area of soil and water loss for these three regions, (2) compare the change rate for the area of soil and water loss in each soil and water loss classification and in each region, and (3) examine the relationship between change rate and the restored year.

Study area

Chongqing City is located in the upper reach of the Yangtze River, and has an area of 82,400 km2. It is characterized as a ‘mountain city’, of which hills and mountains account for 76% of the total area, and has a total of 32 million resident people with an urbanization rate of 69.4%. Chongqing City is situated on the leading edge of the China's second tier of terrain, which is located at the intersection of Dabashan fault-fold belt, eastern Sichuan fold belt and Sichuan, Hunan and Guizhou uplift fold. The central area of the Chongqing City belongs to the parallel range-valley hilly region, the western area is involved to the central Sichuan hilly region, and the eastern, northeastern and southern areas pertain to the low mountain regions (Figure 1). Chongqing City has a subtropical monsoon humid climate. The mean annual temperature is about 18 °C, and annual mean precipitation is approximately 1,100 mm, with about 85% mainly occurring from June to September (Xiao & Xiao 2018). The majority soils are the purple soil in the Chinese soil taxonomic classification and equivalent to the Entisols in United States Department of Agriculture (USDA) Taxonomy (Liu et al. 2009), which is distributed widely in the hills and mountains below 1,000 m above sea level. Other soils, such as paddy soil, yellow soil, yellow brown soil and limestone soil, are also found in various districts of Chongqing City (Li et al. 2009; Liu et al. 2016). The plant species are mainly dominated by the subtropical evergreen broad-leaved forest and warm coniferous forest with a total forest coverage rate of 50.1% in 2019. Historically, severe soil and water loss occurred with an area of 31,400 km2 in 2012, which accounted for 38% of the total area of Chongqing city, due to the steep slope, abundant rainfall and intensive human activities (Table 1). Following the government policies of ecological restoration and Grain-for-Green Project, the area of soil and water loss has reduced to 25,400 km2 in 2019, which accounted for 30.8% of the total area of Chongqing City (Table 1).
Table 1

The area of soil and water loss in the Chongqing City

Year2012201320142015201620182019
Area of soil and water loss (km231,400 31,100 30,800 30,100 28,700 25,800 25,400 
Year2012201320142015201620182019
Area of soil and water loss (km231,400 31,100 30,800 30,100 28,700 25,800 25,400 
Figure 1

Map of the study three regions in the Chongqing Municipality, China. UR indicates the urban region including Yuzhong (YZ), Dadukou (DDK), Jiangbei (JB), Shapingba (SPB), Jiulongpo (JLP), Nanan (NA), Yubei (YB), Beibei (BB), Banan (BN), Fulin (FL), Changshou (CS), Jiangjin (JJ), Hechuan (HC), Yongchuan (YC), Nanchuan (NC), Qijiang (QJ), Dazu (DZ), Bishan (BS), Tongliang (TL), Tongnan (TL) and Rongchang (RC). NER denotes the northeast region including the Wanzhou (WZ), Liangping (LP), Kaizhou (KZ), Chengkou (CK), Fengdu (FD), Dianjiang (DJ), Zhongxian (ZX), Yunyang (YY), Fengjie (FJ), Wushan (WS) and Wuxi (WX). SER represents the southeast region including Qianjiang (QJ), Wulong (WL), Shizhu (SZ), Xiushan (XS), Youyang (YY) and Pengshui (PS).

Figure 1

Map of the study three regions in the Chongqing Municipality, China. UR indicates the urban region including Yuzhong (YZ), Dadukou (DDK), Jiangbei (JB), Shapingba (SPB), Jiulongpo (JLP), Nanan (NA), Yubei (YB), Beibei (BB), Banan (BN), Fulin (FL), Changshou (CS), Jiangjin (JJ), Hechuan (HC), Yongchuan (YC), Nanchuan (NC), Qijiang (QJ), Dazu (DZ), Bishan (BS), Tongliang (TL), Tongnan (TL) and Rongchang (RC). NER denotes the northeast region including the Wanzhou (WZ), Liangping (LP), Kaizhou (KZ), Chengkou (CK), Fengdu (FD), Dianjiang (DJ), Zhongxian (ZX), Yunyang (YY), Fengjie (FJ), Wushan (WS) and Wuxi (WX). SER represents the southeast region including Qianjiang (QJ), Wulong (WL), Shizhu (SZ), Xiushan (XS), Youyang (YY) and Pengshui (PS).

Close modal

Spatial regions and classifications of soil and water loss

To interpret the spatial changes in the area of soil and water loss in Chongqing City, three spatial regions were clustered according to the government's division, including the UR with an area of 28,659 km2, the NER with an area of 33,904 km2 and the SER with an area of 19,837 km2, respectively, which totally covers 38 counties and/or districts of Chongqing City. The important factors leading to soil and water loss, including the rainfall, topography, vegetation, soil and human activity (Kong et al. 2018), are considerably different among each region (Figure 2). The UR covers 21 counties and/or districts, including Yuzhong, Dadukou, Jiangbei, Shapingba, Jiulongpo, Nanan, Yubei, Beibei, Banan, Fulin, Changshou, Jiangjin, Hechuan, Yongchuan, Nanchuan, Qijiang, Dazu, Bishan, Tongliang, Tongnan and Rongchang. This region is characterized by the landform of low mountain and hills, with an average annual temperature of 18.1 °C, an average precipitation of 1,103 mm, and a forest coverage rate of 41.6%. The dominant soil includes purple soil, paddy soil and yellow soil with the soil erodibility value of 0.0184, 0.0185 and 0.0156 t ha h MJ−1 mm ha−1, respectively (Wu et al. 2010). The rapid development of urbanization is observed and leads to a soil erosion modulus of 2,094 t kg−2 a−1 in the UR in 2011 (He et al. 2017). The NER includes 11 counties, Wanzhou, Liangping, Kaizhou, Chengkou, Fengdu, Dianjiang, Zhongxian, Yunyang, Fengjie, Wushan and Wuxi. This region has undulating terrain cut by the river system, with an average annual temperature of 17.5 °C, an average precipitation of 1,171 mm, and a forest coverage rate of 48.2%. The dominant soil includes yellow brown soil and limestone soil with a soil erodibility value of 0.0168 and 0.0171 t ha h MJ−1 mm ha−1, respectively (Wu et al. 2010). The intensive agricultural practices occurring on the sloping cropland are commonly found and result in a soil erosion modulus of 3,834 t kg−2 a−1 in the NER in 2011 (He et al. 2017). The SER includes 6 counties, Qianjiang, Wulong, Shizhu, Xiushan, Youyang and Pengshui. This region has a medium and low mountain landform, and an annual temperature of 16.4 °C, an average precipitation of 1,209 mm, and a forest coverage rate of 52.1%. The prevailing soil includes yellow soil and limestone soil with the soil erodibility value of 0.0156 and 0.0171 t ha h MJ−1 mm ha−1, respectively (Wu et al. 2010). The fragile parent materials and agricultural activities leads to widespread rocky desertification with a soil erosion modulus of 4,236 t kg−2 a−1 in the SER in 2011 (He et al. 2017).
Figure 2

A summary of natural and human factors leading to soil and water loss in each region. More numbers of the red circles behind each factor represents the relatively more strength of the corresponding factor among three regions. UR, urban region; NER, northeast region; SER, southeast region.

Figure 2

A summary of natural and human factors leading to soil and water loss in each region. More numbers of the red circles behind each factor represents the relatively more strength of the corresponding factor among three regions. UR, urban region; NER, northeast region; SER, southeast region.

Close modal

The standards for classification and gradation of soil erosion (SL-190-2007) issued by the Ministry of Water Resources of the People's Republic of China was used to determine the changes in the area of soil and water loss for different classifications. Accordingly, six classifications for the soil and water loss were grouped: < 500, 500–2,500, 2,500–5,000, 5,000–8,000, 8,000–15,000 and >15,000 t km−2 a−1, which were corresponded to the micro, light, moderate, intensive, severe and violent soil and water loss, respectively (Table S1). Generally, the soil and water loss over the light degree was adopted to assess the intensity of soil and water loss (Zhang et al. 2017). Consequently, the area of micro soil and water loss was not considered in this study.

Data sources and calculation

The data for the area of soil and water loss for each county and/or district was compiled from the annual Bulletin of Soil and Water Conservation in Chongqing City during 2012–2019. The area percentage of soil and water loss over moderate degree (OMD), i.e., the sum percentage of area of moderate, intensive, severe and violent soil and water loss, was calculated for each region in 2012, 2016, 2018 and 2019, respectively:
(1)
where AL, AM, AI, AS and AV denoted the area of soil and water loss corresponding to the light, moderate, intensive, severe and violent soil and water loss, respectively.
Additionally, these data were further calculated to compare the change rate (CR) in the area of soil and water loss based on the basis in 2012 for each region and each classification, respectively:
(2)
where the i corresponded to the years of 2016, 2018 and 2019, respectively. The j corresponded to the different degrees of soil and water loss, including light, moderate, intensive, severe and violent soil and water loss. The Aij was the area of soil and water loss corresponding to different degrees in 2016, 2018 and 2019, respectively. Aj2012 was the area of soil and water loss corresponding to different degrees in 2012.

Statistical analysis

A Shapiro-Wilk test was used to determine the normality of variables. The log10-transformed was conducted when the data were not normally distributed. One-way analysis of variance (ANOVA) with Tukey's (or Tamhane's when equal variances not assumed) post hoc multiple comparison test was adopted to examine the differences in the CR in 2016, 2018 and 2019, compared to 2012 among three study regions, and those differences under each classification among three study regions, respectively. The Levene's test was used to determine the homogeneity of variances. Simple regression analysis was used to coordinate the relationships between the CR and the year under each classification in each region. A significant level of P < 0.05 was specified in this study. All the mentioned statistical analyses were conducted using SPSS 24.0 (IBM, Armonk, New York, USA).

The area of soil and water loss for each region

The area of soil and water loss decreased from 9,465.91 km2 to 7,355.36 km2 in the UR, 15,359.59 km2 to 12,482.49 km2 in the NER, and 6,537.89 km2 to 5,606.72 km2 in the SER from 2012 to 2019, respectively (Table 2). The area of soil and water loss in the NER almost accounted for 50% of the total area of soil and water loss in Chongqing City, followed by the UR and SER.

Table 2

The area of soil and water loss for the study three regions

YearUR
NER
SER
Area (km2)Proportion (%)Area (km2)Proportion (%)Area (km2)Proportion (%)
2012 9,465.91 30.16 15,359.59 48.99 6,537.89 20.85 
2016 8,490.24 29.57 14,288.38 49.77 5,929.09 20.65 
2018 7,438.69 28.83 12,670.88 49.11 5,691.16 22.06 
2019 7,355.36 28.91 12,482.49 49.06 5,606.72 22.04 
YearUR
NER
SER
Area (km2)Proportion (%)Area (km2)Proportion (%)Area (km2)Proportion (%)
2012 9,465.91 30.16 15,359.59 48.99 6,537.89 20.85 
2016 8,490.24 29.57 14,288.38 49.77 5,929.09 20.65 
2018 7,438.69 28.83 12,670.88 49.11 5,691.16 22.06 
2019 7,355.36 28.91 12,482.49 49.06 5,606.72 22.04 

The OMD for each region

The OMD was 66.06%, 64.81%, 28.98% and 24.84% in 2012, 2016, 2018 and 2019, respectively (Figure 3). Specifically, there were 21 counties in 2012 (10 counties in the UR, 7 counties in the NER and 4 counties in the SER), 16 counties in 2016 (8 counties in the UR, 6 counties in the NER and 2 counties in the SER), 22 counties in 2018 (17 counties in the UR, 4 counties in the NER and 1 county in the SER) and 22 counties in 2019 (16 counties in the UR, 5 counties in the NER and 1 county in the SER) that presented the greater proportion of over moderate soil and water loss than the average proportion of that in Chongqing City in the corresponding year. The OMD was in the order UR (69.66%) > NER (65.29%) > SER (62.63%) in 2012, UR (63.96%) > SER (69.18%) > NER (55.51%) in 2016, UR (35.22%) > NER (27.5%) > SER (24.14%) in 2018, and UR (30.3%) > NER (25.37%) > SER (16.5%) in 2019.
Figure 3

Changes in the area percentages of moderate, intensive, severe, violent soil and water loss.

Figure 3

Changes in the area percentages of moderate, intensive, severe, violent soil and water loss.

Close modal

The CR for each region and classification

The CR was both in the sequence UR > NER > SER in 2018 and 2019, and was in the order UR > SER > NER in 2016 when comparing to that in 2012, respectively (Figure 4). However, the ANOVA suggested that the CR was not significantly different among the three regions in 2016, 2018 and 2019 relative to that in 2012, respectively (P > 0.05).
Figure 4

Variations of CR in 2016, 2018 and 2019 compared with 2012 in different regions, respectively. UR, urban region; NER, northeast region; SER, southeast region.

Figure 4

Variations of CR in 2016, 2018 and 2019 compared with 2012 in different regions, respectively. UR, urban region; NER, northeast region; SER, southeast region.

Close modal
The CR in the light degree was significantly different among the UR, NER and SER in 2016 (P < 0.05), and was in the order SER > UR > NER (Figure 5). While it was not significantly different among the three regions in 2018 and 2019, respectively. The CR in the moderate degree was not significantly different in 2016 (P > 0.05), but was significantly different among the three regions in 2018 and 2019, both showing the sequence SER > NER > UR (P < 0.05). The CR in the intensive degree was not significantly differed by the three regions in 2016 and 2018 (P > 0.05), but was significantly affected by the three regions in 2019, presenting the sequence SER > UR > NER (P < 0.05). The CR in the severe degree was significantly differed by the three regions in 2016, but was not significantly different in 2018 and 2019 (P > 0.05), displaying the order UR > NER > SER and UR > SER > NER, respectively. Contrasting, the CR in the violent degree was significantly different among the three regions in 2016 with the sequence UR > NER > SER (P < 0.05), and was also significantly different among these regions in 2018 with the order NER > SER > UR (P < 0.05). The CR in the violent degree was not significantly different among these regions in 2019 (P > 0.05).
Figure 5

Variations of CR in 2016, 2018 and 2019 compared with 2012 for each classification in different regions, respectively. UR, urban region; NER, northeast region; SER, southeast region.

Figure 5

Variations of CR in 2016, 2018 and 2019 compared with 2012 for each classification in different regions, respectively. UR, urban region; NER, northeast region; SER, southeast region.

Close modal

Relationships between CR and year

The CR showed non-significant trend (P > 0.05) with the year in the light, moderate, intensive and violent classification within each region, respectively (Figure S1). The exception was that the CR significantly decreased (P < 0.05) with the year in the severe classification for the UR and SER, respectively. However, the CR always presented significant decline (P < 0.05) with the year for the UR, NER and SER, irrespective of the classification of soil and water loss (Figure 6).
Figure 6

Relationships between the CR and the year in each region. UR, urban region; NER, northeast region; SER, southeast region.

Figure 6

Relationships between the CR and the year in each region. UR, urban region; NER, northeast region; SER, southeast region.

Close modal

Changes in the area of soil and water loss

The area of soil and water loss had a decreasing trend accompanying by the acceleration of urbanization in Chongqing City during 2012–2019, suggesting the successful ecological cultivation construction in the recent years. Similar to that, our results showed the area of soil and water loss in the three regions in Chongqing City presented a decreasing trend from 2012 to 2019, respectively, indicating the effective control of soil and water loss in the regional scale. The area of soil and water loss in the NER showed the highest area of soil and water loss relative to the UR and SER. This was attributed to the local topography with steep slope gradients and high altitudes and the agricultural activities, which collectively resulted in the soil and water loss hotspots in the NER (Sastre et al. 2017; Xiao & Xiao 2018). The NER is involved in the central area of the Three Gorges Reservoir and the soil and water loss is easily induced by different drivers, such as rainfall and gravity, leading to the wide distribution of soil and water loss and the fragile soil ecosystems (Zhao et al. 2015; Zhang et al. 2017). Additionally, the traditional agricultural activities such as conventional tillage were largely responsible for the high vulnerability in soil and water loss in the NER (Sun et al. 2010; Marques et al. 2015; Mekonnen et al. 2015). Thus, controlling for the soil and water loss in the NER would have great contribution to the soil and water conservation in Chongqing City (Xiao & Xiao 2018). Sun et al. (2010) found that the area of soil and water loss in the NER was 29,178.54 km2 in 1999, and reduced by 45.81% in 2005 (15,811.06 km2). In this study, the area of soil and water loss decreased from 15,359.59 km2 in 2012 to 12,482.49 km2 in 2019, and the decreasing amplitude was almost 2.4 times smaller than that from 1999 to 2005. This reflected great potential in the reduction of soil and water loss in the future.

Changes in the OMD

The OMD had a decreasing trend from 2012 to 2019. The soil and water loss over moderate degree of Zhongxian, Yunyang, Wanzhou, Kaizhou counties in the NER and Shizhu, Wulong counties in the SER were higher than the average in Chongqing City in 2012 and 2016, respectively, due largely to the severe soil and water loss surrounding the Three Gorges Reservoir (Sun et al. 2010). This result was in partial agreement with the findings of Li et al. (2009) who found that the Kaizhou, Yunyang, Fengjie, Wuxi, Wushan and Wanzhou counties in the NER were the most serious areas of soil and water loss in 1999 and 2004. The soil and water loss OMD of 17 counties in 2018 and 16 counties in 2019 counties for the UR was both higher than the average of Chongqing City, which was almost 2 times than that in 2016 (8 counties), indicating the increasing control of soil and water loss in the UR even though the acceleration of urbanization. This was also supported by the decreased counties in the NER and SER that had higher soil and water loss over moderate degree than the average of Chongqing City. The soil and water loss over moderate degree was converted significantly to the micro and light classifications in different regions from 2012 to 2019. The change rates for the area of moderate and intensive soil and water loss were the highest in the SER in 2016, 2018 and 2019, while the change rates for the area of severe and violent soil and water loss in the UR and NER were the highest in 2018 and 2019, respectively. The ecological restoration and Grain-for-Green Project contributed pronouncedly to the reduction in the area of over moderate soil and water loss (Li et al. 2009; Zuo & Gao 2022). Also, the urban soil and water conservation, e.g. temporal fence and film covering for construction site, are responsible for the decreasing soil and water loss (Zhou et al. 2006; Tian et al. 2020).

Changes in CR and its relationship with year

The CR was the highest in the UR for the pairwise comparative years, while the difference in CR in each study year was not significantly different among three regions, even though their local society, economy and ecology are radically different (He et al. 2017). Generally, the rapid urbanization in the UR, which is the populated area, may cause extensive expansion of disturbances to the native landscape and inevitably increase the area of soil and water loss in a short time due to the adoption of irrational strategies of soil and water conservation (Tian et al. 2020). However, Kong et al. (2018) suggested that urbanization could in turn reduce the area of soil and water loss via driving migration of rural labour to cities since the migration had large potential to alleviate the negative effects of human activities on the effectiveness of ecological restoration through decreasing the disturbances to soils from farming and increasing the forestry area. This was also supported by our findings showing the distinct variations on CR in each classification of each study year among UR, NER and SER. Compared to SER, the UR and NER showed relatively lower CR in the moderate degree in 2018 and 2019, but higher CR in the severe and violent degrees in 2016. This indicated that the extent of changed soil and water loss was markedly affected by the urbanization in the UR (Li et al. 2017b) and the soil conservation strategies (e.g. terrace construction) implemented recently in some districts of the NER (Strehmel et al. 2016). In the SER, the chronic rocky desertification threatens the efforts of soil and water conservation and results in subtle changes from high degree of soil and water loss to the low degree (Li et al. 2021; Zuo & Gao 2022), and therefore more strategies for reducing soil and water loss in the SER urgently need to be enhanced in the near future. The CR showed significant relationship with year in all three regions, suggesting that the soil and water conservation strategies conducted in different regions were effective to control its own local soil and water loss. This was also favored by the gradually increased soil conservation capacity from 2000 to 2015 in the most districts in Chongqing City (Kong et al. 2018). Tian et al. (2020) reported that the reduced area of soil and water loss and increased soil conservation capacity were mainly resulted from the increase in the vegetation cover from 1999 to 2015, which benefited from the continuing ecological restoration and Grain-for-Green project. Overall, our result indicated the consistent effects of government policies on the regional control of soil and water loss.

Implications

The development of soil and water conservation strategies were different due to the differences in the local population, environment, finance, agriculture, public works and so on (Graaff et al. 2013). It is necessary to devise rational management strategies controlling soil and water loss to achieve the ecological sustainability (Cerdà et al. 2018; Tan et al. 2020) according to the specific-site characteristics of soil and water loss in these regions. This will have great significance for consolidating the efforts of ecological restoration and Grain-for-Green project, and also for promoting the ECC in Chongqing City for the near future. He et al. (2017) concluded the potential strategies of soil and water conservation in terms of the roles of three regions in the development of Chongqing City, and emphasized that the principle of adaptation to local conditions was crucial to make the rational strategies. According to our results, the core ways for the specific three regions are given: For the UR, the rapid development of urbanization will launch more infrastructure construction projects, which predictably disturbs the landscape and increases the area of soil and water loss, and thus, the combination of severe supervision implemented by the government and the positive soil and water conservation strategies adopted by the construction organization will be taken to control urban soil and water loss and accelerate the construction of sponge city (Li et al. 2017a). For the NER, due to its sensitive natural topography and traditional agricultural activities in the surrounding of the Three Gorges Reservoir Area, the enhanced afforestation of steep sloping cropland and conservation agricultural managements such as terrace construction, contour ploughing and minimal tillage are still needed to be enhanced (Kassam et al. 2009, 2014; Strehmel et al. 2016). While, as the important ecological protection zone in the SER, further combination of ecological restoration and agroforestry, such as developing economic forests and intercropping systems (Huang et al. 2008; Liu et al. 2021), are expected to be conducive to controlling the soil and water loss and developing the local economy.

The area of soil and water loss decreased in the UR, NER and SER from 2012 to 2019, therein, the area of soil and water loss in NER mostly accounted for 50% of the total area of soil and water loss in Chongqing City. The OMD decreased from 2012 to 2019 across these three regions. The CR was markedly differed by those three regions in different classifications of soil and water loss, and declined significantly with the year in each region, suggesting the effectiveness of adopted soil and water conservation strategies in different regions on controlling its own local soil and water loss. The optimal combinations of strategies of soil and water conservation such as severe supervision, enhanced ecological restoration and sustainable agricultural managements, are required to achieve the maximum decrease in soil and water loss in the distinct three regions. Our results will provide valuable information for developing reasonable conservation strategies in Chongqing City and others with the similar natural environment and human activities.

This study was funded by the CRSRI Open Research Program (CKWV20221005/KY) and the Basic Scientific Research Service Funds of Central Level Public Welfare Research Institutes, China (CKSF2019413/CQ).

The authors declare that they have no conflict of interest.

Data cannot be made publicly available; readers should contact the corresponding author for details.

The authors declare there is no conflict.

Brazier
R. E.
,
Rowan
J. S.
,
Anthony
S. G.
&
Quinn
P. F.
2001
‘MIRSED’ towards an MIR approach to modeling hillslope soil erosion at the national scale
.
Catena
42
,
59
79
.
Cerdà
A.
,
Rodrigo-Comino
J.
,
Gimenez-Morera
A.
,
Novara
A.
,
Pulido
M.
,
Kapovic-Solomun
M.
&
Keesstra
S. M.
2018
Policies can help to apply successful strategies to control soil and water losses. The case of chipped pruned branches (CPB) in Mediterranean citrus plantations
.
Land Use Policy
75
,
734
745
.
Chu
L.
,
Sun
T. C.
,
Wang
T. W.
,
Li
Z. X.
&
Cai
C. F.
2020
Temporal and spatial heterogeneity of soil erosion and a quantitative analysis of its determinants in the Three Gorges Reservoir Area, China
.
International Journal of Environmental Research and Public Health
17
,
84
86
.
Durán Zuazo
V. H.
&
Rodríguez Pleguezuelo
C. R.
2008
Soil erosion and runoff prevention by plant covers: a review
.
Agronomy for Sustainable Development
28
,
65
86
.
Graaff
J. D.
,
Aklilu
A.
,
Ouessar
M.
,
Asins-Velis
S.
&
Kessler
A.
2013
The development of soil and water conservation policies and practices in five selected countries from 1960 to 2010
.
Land Use Policy
32
,
165
174
.
Guo
S. F.
,
Zhai
L. M.
,
Liu
J.
,
Liu
H. B.
,
Chen
A. Q.
,
Wang
H. Y.
,
Wu
S. X.
&
Lei
Q. L.
2019
Cross-ridge tillage decreases nitrogen and phosphorus losses from sloping farmlands in southern hilly regions of China
.
Soil & Tillage Research
191
,
48
56
.
He
W. J.
,
Li
Y.
&
Guo
H. Z.
2017
Current soil and water loss situation and prevention direction of five functional areas in Chongqing
.
Soil and Water Conservation in China
2
,
56
58
.
(In Chinese with English abstract)
.
Kassam
A.
,
Friedrich
T.
,
Shaxson
T. F.
&
Pretty
J.
2009
The spread of conservation agriculture: justification, sustainability and uptake
.
International Journal of Agricultural Sustainability
7
,
292
320
.
Kassam
A.
,
Derpsch
R.
&
Friedrich
T.
2014
Global achievement in soil and water conservation: the case of conservation agriculture
.
International Soil and Water Conservation Research
2
,
5
13
.
Kong
L. Q.
,
Zheng
H.
,
Rao
E. M.
,
Xiao
Y.
,
Ouyang
Z. Y.
&
Li
C.
2018
Evaluating indirect and direct effects of eco-restoration policy on soil conservation service in Yangtze River Basin
.
Science of the Total Environment
621–632
,
887
894
.
Li
Y. C.
,
Liu
C. X.
&
Yuan
X. Z.
2009
Spatiotemporal features of soil and water loss in Three Gorges Reservoir Area of Chongqing
.
Journal of Geographical Sciences
19
,
81
94
.
Li
T.
,
Lu
Y. H.
,
Fu
B. J.
,
Comber
A. J.
,
Harris
P.
&
Wu
L. H.
2017b
Gauging policy-driven large-scale vegetation restoration programmes under a changing environment: their effectiveness and socio-economic relationships
.
Science of the Total Environment
607–608
,
911
919
.
Li
S. L.
,
Liu
C. Q.
,
Chen
J. A.
&
Wang
S. J.
2021
Karst ecosystem and environment: characteristics, evolution processes, and sustainable development
.
Agriculture, Ecosystems and Environment
306
,
107173
.
Liu
G. C.
,
Li
L.
,
Wu
L. S.
,
Wang
G. X.
,
Zhou
Z. H.
&
Du
S. H.
2009
Determination of soil loss tolerance of an Entisol in southwest China
.
Soil Science Society of America Journal
73
,
412
417
.
Liu
R.
,
Zhou
L. L.
,
Peng
Y.
,
Ji
T.
,
Li
J.
,
Zhang
H.
&
Dai
J. J.
2016
Spatio-temporal variations of soil conservation services in Three Gorges Reservoir Area of Chongqing
.
Resources and Environment in the Yangtze Basin
25
(
6
),
932
942
.
(In Chinese with English abstract)
.
Liu
R.
,
Thomas
B. W.
,
Shi
X. J.
,
Zhang
X. L.
,
Wang
Z. C.
&
Zhang
Y. T.
2021
Effects of ground cover management on improving water and soil conservation in tree crop systems: a meta-analysis
.
Catena
199
,
105085
.
Marques
M. J.
,
Bienes
R.
,
Cuadrado
J.
,
Ruiz-Colmenero
M.
,
Barbero-Sierra
C.
&
Velasco
A.
2015
Analysing perceptions attitudes and responses of winegrowers about sustainable land management in Central Spain
.
Land Degradation & Development
26
,
458
467
.
Mekonnen
M.
,
Keesstra
S. D.
,
Stroosnijder
L.
,
Baartman
J. E.
&
Maroulis
C. J.
2015
Soil conservation through sediment trapping: a review
.
Land Degradation & Development
26
,
544
556
.
Pimentel
D.
2006
Soil erosion: a food and environmental threat
.
Environment Development and Sustainability
8
,
119
137
.
Rodrigo-Comino
J.
&
Cerdà
A.
2018
Improving stock unearthing method to measure soil erosion rates in vineyards
.
Ecological Indicators
85
,
509
517
.
Sastre
B.
,
Barbero-Sierra
C.
,
Bienes
R.
,
Marques
M. J.
&
Garcia-Diaz
A.
2017
Soil loss in an olive grove in Central Spain under cover crops and tillage treatments, and farmer perceptions
.
Journal of Soils and Sediments
17
,
873
888
.
Sun
F.
,
Liu
B. Y.
,
You
X.
,
Yang
S.
,
Li
X.
&
Du
Y. W.
2010
Soil erosion factor and sensitivity evaluation of North Eastern Area of Chongqing
.
Journal of Chongqing Normal University
27
(
2
),
26
30
.
(In Chinese with English abstract)
.
Tan
Y.
,
Xiong
K.
&
Guo
H. Z.
2020
Effect of soil and water conservation in Chongqing and development strategy in the new age
.
Soil and Water Conservation in China
1
,
8
11
.
(In Chinese with English abstract)
.
Tian
Y.
,
Zhu
J. H.
,
Li
Q.
,
Feng
Y.
,
Li
C. Y.
&
Xiao
W. F.
2020
Spatial and temporal distribution of soil conservation and its driving forces in the Three Gorges Reservoir Area
.
Chinese Journal of Ecology
39
(
4
),
1164
1174
.
(In Chinese with English abstract)
.
UNEP
2016
United Nations Environment Programme). Green is Gold: The Strategy and Actions of China's Ecological Civilization
.
UNEP
,
Nairobi
,
Kenya
.
Wu
C. G.
,
Zeng
Y.
,
Zhou
Z. X.
,
Wang
P. C.
,
Xiao
W. F.
&
Luo
C.
2010
Soil erodibility K value in Three Gorges Reservoir Area
.
Science of Soil and Water Conservation
8
(
3
),
8
12
.
(In Chinese with English abstract)
.
Zhang
X. H.
,
Wang
Y. Q.
,
Qi
Y.
,
Wu
J.
,
Liao
W. J.
,
Shui
W.
,
Zhang
Y. Z.
,
Deng
S. H.
,
Peng
H.
,
Yu
X. Y.
&
Qi
H.
2016
Evaluating the trends of China's ecological civilization construction using a novel indicator system
.
Journal of Cleaner Production
133
,
910
923
.
Zhang
C.
,
Chen
G. J.
,
Li
C. J.
,
Xiao
Z. Y.
,
Li
C. L.
,
Li
J. J.
&
Liao
L. Y.
2017
Estimate of soil erosion amount of the ecological conservation development area in Chongqing based on the USLE model
.
Research of Soil and Water Conservation
24
(
3
),
33
38
.
(In Chinese with English abstract)
.
Zhang
Y. Y.
,
Sun
M. Y.
,
Yang
R. J.
,
Li
X. H.
,
Zhang
L.
&
Li
M. Y.
2021
Decoupling water environment pressures from economic growth in the Yangtze River Economic Belt, China
.
Ecological Indicators
122
,
107314
.
Zhao
Q. H.
,
Li
D. Q.
,
Zhuo
M. N.
,
Guo
T. L.
,
Liao
Y. S.
&
Xie
Z. Y.
2015
Effects of rainfall intensity and slope gradient on erosion characteristics of the red soil slope
.
Stochastic Environmental Research and Risk Assessment
29
,
609
621
.
Zhou
H. Y.
,
Wen
A. B.
,
Fan
J. R.
&
He
X. B.
2006
The reason of soil erosion change and its soil and water conservation measures in Chongqing
.
Soil and Water Conservation in China
11
,
24
25
.
(In Chinese with English abstract)
.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY-NC-ND 4.0), which permits copying and redistribution for non-commercial purposes with no derivatives, provided the original work is properly cited (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Supplementary data