Spatiotemporal variations in the soil quality of agricultural land and its drivers in China from 1980 to 2018

Li, Yijia; Ma, Junwei; Li, Yuqian; Jia, Qimeng; Shen, Xinyi; Xia, Xinghui

doi:10.1016/j.scitotenv.2023.164649

Cited by 17 publications

(6 citation statements)

References 86 publications

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“…Given that our study area is not under water limitation (annual precipitation of 1000-1500 mm), temperature dominated SFI variability. The negative correlation between temperature and soil fertility found in our research is consistent with that discovered with studies in southwestern China [50,52,53] and may be closely related to soil microbial activity [14]. Increased planting years significantly and positively affected WSA and SFI in environments with high temperature and rainfall (Figure 6).…”

Section: Discussionsupporting

confidence: 91%

Planting Year- and Climate-Controlled Soil Aggregate Stability and Soil Fertility in the Karst Region of Southwest China

Zhang,

Wu,

Liu

2023

Agronomy

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The effects of long-term monocropping systems combined with climate on soil water aggregate stability (WSA) and soil fertility in the karst region of Southwest China (KRSWC) are unclear. Our research was conducted in the KRSWC, wherein tobacco (Nicotiana tabacum) production is characterized by heavy fertilization and continuous monocropping. The tobacco fields in the study area have similar soil types and fertilization and tillage practices and are spread over an area of 11,500 km2. A total of 568 topsoil samples were collected in 2021. Soil fertility was reflected using the soil fertility index (SFI), which was calculated using the minimum data set method with six soil fertility-related factors, namely, soil pH, soil organic matter, cation exchange capacity, available nitrogen, available phosphorus, and available potassium. Results showed that long-term planting generally promoted soil fertility levels and WSA content. WSA and SFI had inconsistent spatial distribution patterns likely due to different climate-driven effects. WSA variability was greatly controlled by precipitation (Spearman correlation coefficient [r] = −0.49, p < 0.01), whereas SFI variability was mostly dominated by temperature (r = −0.36, p < 0.01). The levels of SFI and WSA were optimal under conditions of low temperature and precipitation and poor under conditions of high temperature and precipitation. Moreover, long-term planting could alleviate the negative effects of climate on SFI and WSA in the KRSWC. The results of this study could provide valuable information on fertilization and climate-adapted strategies for tobacco fields in the KRSWC.

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Section: Discussionsupporting

confidence: 91%

Planting Year- and Climate-Controlled Soil Aggregate Stability and Soil Fertility in the Karst Region of Southwest China

Zhang,

Wu,

Liu

2023

Agronomy

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“…The TDS and MDS have been widely used in soil quality evaluation [9,71]. The TDS approach considers all identified variables [36], but it has limitations related to indicator redundancy and the complexity of data interpretation [7].…”

Section: Mds-based Soil Quality Evaluationmentioning

confidence: 99%

“…Among these factors, soil quality is shaped not only by soil genesis but also by various factors associated with soil utilization and management [6], including straw incorporation and irrigation regimes [7,8]. Enhancing soil quality via field management will promote sustainable agricultural management approaches [9], attain food security, and contribute to the preservation of agro-ecosystems [10].…”

Section: Introductionmentioning

confidence: 99%

“…Various methods have been developed for assessing soil quality [32,33]. The most commonly used method for assessment was based on the soil quality index (SQI), as it combined multiple indicators into a composite index using a scoring function [34][35][36], this method effectively handled the multivariate datasets generated by experiments and reflected the trends in soil quality changes [9]. It should be noted that the minimum data set (MDS) approach, as compared to the total data set (TDS), reduced data redundancy and considered the complex interrelationships among multiple indicators [7] and offered the advantages of adaptability and operability [37].…”

Section: Introductionmentioning

confidence: 99%

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Long-Term Straw Incorporation under Controlled Irrigation Improves Soil Quality of Paddy Field and Rice Yield in Northeast China

Zhang,

Chen,

Nie

et al. 2024

Plants

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Soil quality is an indicator of the ability to ensure ecological security and sustainable soil usage. The effects of long-term straw incorporation and different irrigation regimes on the yield and soil quality of paddy fields in cold regions remain unclear. This study established four treatments: controlled irrigation + continuous straw incorporation for 3 years (C3), controlled irrigation + continuous straw incorporation for 7 years (C7), flooded irrigation + continuous straw incorporation for 3 years (F3), and flooded irrigation + continuous straw incorporation for 7 years (F7). Analysis was conducted on the impact of various irrigation regimes and straw incorporation years on the physicochemical characteristics and quality of the soil. The soil quality index (SQI) for rice fields was computed using separate datasets for each treatment. The soil nitrate nitrogen, available phosphorus, soil organic carbon, and soil organic matter contents of the C7 were 93.51%, 5.80%, 8.90%, and 8.26% higher compared to C3, respectively. In addition, the yield of the C7 treatment was 5.18%, 4.89%, and 10.32% higher than those of F3, C3, and F7, respectively. The validity of the minimum data set (MDS) was verified by correlation, Ef and ER, which indicated that the MDS of all treatments were able to provide a valid evaluation of soil quality. The MDS based SQI of C7 was 11.05%, 11.97%, and 27.71% higher than that of F3, C3, and F7, respectively. Overall, long-term straw incorporation combined with controlled irrigation increases yield and soil quality in paddy fields in cold regions. This study provides a thorough assessment of soil quality concerning irrigation regimes and straw incorporation years to preserve food security and the sustainability of agricultural output. Additionally, it offers a basis for soil quality diagnosis of paddy fields in the Northeast China.

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“…Environmental conditions have critical long-term effects on soil, while both topography and climate are closely related to soil variations [72,73]. Soil chemical properties may vary greatly by different land use types [24,65,74]. Therefore, the significance of soil chemical properties for the habitat quality should not be ignored.…”

Section: The Driving Paths Of Habitat Quality Patternsmentioning

confidence: 99%

Evaluating Spatiotemporal Patterns and Integrated Driving Forces of Habitat Quality in the Northern Sand-Prevention Belt of China

Zhang,

Zheng,

Zou

et al. 2024

Sustainability

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Understanding habitat quality patterns and their drivers in arid zones is of fundamental importance to the sustainability maintenance of terrestrial ecosystems, but remains elusive. Here, we applied the InVEST model to investigate the spatiotemporal patterns of habitat quality in the northern sand-prevention belt (NSPB) across five time periods (2000, 2005, 2010, 2015, 2018), coupled with the structural equation model (SEM) and boosted regression tree (BRT) model to identify their integrated driving forces. The results exhibited that habitat quality in high-level zones expanded gradually from 2000 to 2018, while the middle- and low-level zones shrank. Climate, soil, topography, and human activities were significantly correlated with habitat quality, with mean annual temperature (MAT) and human activities being key contributing factors in the high-level and low-level zones, respectively, whereas the contribution of factors varied considerably in the middle-level zones. The interactions among climate, soil, topography, and human activities jointly drive habitat quality changes. Climate intensified the positive effects of soil on habitat quality, while the topographic and human activities mainly affected habitat quality indirectly through climate and soil. Our findings offer a scientific guidance for the restoration and sustainable management of desertification ecosystems in northern China.

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Spatiotemporal variations in the soil quality of agricultural land and its drivers in China from 1980 to 2018

Cited by 17 publications

References 86 publications

Planting Year- and Climate-Controlled Soil Aggregate Stability and Soil Fertility in the Karst Region of Southwest China

Planting Year- and Climate-Controlled Soil Aggregate Stability and Soil Fertility in the Karst Region of Southwest China

Long-Term Straw Incorporation under Controlled Irrigation Improves Soil Quality of Paddy Field and Rice Yield in Northeast China

Evaluating Spatiotemporal Patterns and Integrated Driving Forces of Habitat Quality in the Northern Sand-Prevention Belt of China

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