Jinze Bai , Yuming Huang , Yuxin Bai , Danyang Chen , Shahzad Haider , Jiajie Song , Bruno Rafael De Almeida Moreira , Guangxin Ren , Gaihe Yang , Yongzhong Feng , Xing Wang , Sudhir Yadav
{"title":"Impact of straw-biochar amendments on microbial activity and soil carbon dynamics in wheat-maize system","authors":"Jinze Bai , Yuming Huang , Yuxin Bai , Danyang Chen , Shahzad Haider , Jiajie Song , Bruno Rafael De Almeida Moreira , Guangxin Ren , Gaihe Yang , Yongzhong Feng , Xing Wang , Sudhir Yadav","doi":"10.1016/j.still.2024.106284","DOIUrl":"10.1016/j.still.2024.106284","url":null,"abstract":"<div><p>Biochar is a promising carbon sequestration strategy, however, the mechanisms underlying the regulation of microbial-derived carbon (M-C) and plant-derived carbon (P-C) in soil organic carbon (SOC) formation and stabilisation remain elusive, constraining accurate predictions of the organic carbon pool. This study examined the soil biotic and abiotic factors that influence the plant and microbial biomarkers in SOC accumulation. A 5-year field experiment was conducted in a temperate wheat-maize agroecosystem in north-western China, with three treatments: (i) no straw incorporation (C), (ii) straw incorporation (S), and (iii) straw incorporation + biochar (SB). The results showed that M-C reached the microbial carrying capacity gradually, whereas P-C was selectively and continuously accumulated, displaying a complementary S-curve pattern. Straw incorporation increased SOC, microbial biomass carbon (MBC), and dissolved organic carbon (DOC) contents, which stimulated microbial richness and enzyme activities, resulting in a 29.1 % and 25.5 % increase in M-C and P-C in SOC, respectively. The stimulated SOC mineralisation (26.2 %) led to significantly lower SOC content in S compared to the SB practice. Biochar combined with straw decreased DOC content (18.5 %) in comparison with straw incorporation, which suppressed microbial and enzyme activities, particularly in Actinobacteriota (12.3 %) and β-N-acetyl-glucosaminidase (24.2 %). It resulted in a 10.9 % and 14.3 % increase in M-C and fungal-to-bacterial necromass carbon ratio (F/B), respectively, while decreasing P-C by 9.6 % over the 5 years. Overall, straw incorporation with biochar effectively enhanced M-C in SOC and reduced SOC mineralisation, suggesting its potential to augment the quantity and stability of SOC pools and mitigate global climate change.</p></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":"244 ","pages":"Article 106284"},"PeriodicalIF":6.1,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S016719872400285X/pdfft?md5=d0e5a772797e6329b7b969c8e5b5dbf0&pid=1-s2.0-S016719872400285X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142089131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zheng Liu , Shu Zhang , Yujie Wei , Yong Zhang , Tingting Cui , Haodan Huang , Hao Lu , Liqi Jiao , Lei Xiao , Chongfa Cai
{"title":"Spatial variation of gully erosion determinants across subtropical regions of China","authors":"Zheng Liu , Shu Zhang , Yujie Wei , Yong Zhang , Tingting Cui , Haodan Huang , Hao Lu , Liqi Jiao , Lei Xiao , Chongfa Cai","doi":"10.1016/j.still.2024.106275","DOIUrl":"10.1016/j.still.2024.106275","url":null,"abstract":"<div><p>Gully erosion, with an enormous threat to global economic development and ecological security, results from the comprehensive effect of soil inherent properties and external geo-environmental factors. Previous studies on gully causative factors were mainly conducted on a specific site, case, or region, and limited systematic investigation has been performed on their spatial variation. Based on gully inventory in the seven provinces of southern China, this study investigated the spatial variation of thresholds for fifteen potential causative factors by the frequency ratio model, and analyzed the contribution of these factors to gully erosion by the Boruta algorithm. The results showed that gully density generally increased from north to south, characterized by a clustered distribution within a specific range, but the threshold of each potential factor exhibited a slight difference. Particularly, gully formation was predominantly influenced by multi-year average rainfall erosivity, multi-year average rainfall, and population density. However, the relative importance of these factors to gully erosion showed significant spatial heterogeneity. The relative importance increased from north to south for the factors of rainfall erosivity (8.25 %-13.56 %), rainfall (8.62 %-12.01 %), and slope aspect (0.35 %-1.22 %), but decreased for the factors of slope gradient (2.93 %-6.24 %), temperature (5.23 %-8.89 %), normalized difference vegetation index (NDVI) (5.25 %-7.80 %), and fraction vegetation coverage (FVC) (4.11 %-7.23 %). Overall, climatic factors exhibited an increasing contribution to gully erosion from north to south, whereas the influence of topography and vegetation coverage decreased along the same gradient. These findings will facilitate a better gully erosion control in southern China.</p></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":"244 ","pages":"Article 106275"},"PeriodicalIF":6.1,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142089134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jingwang Li , Lin Chen , Congzhi Zhang , Donghao Ma , Guixiang Zhou , Qi Ning , Jiabao Zhang
{"title":"Combining rotary and deep tillage increases crop yields by improving the soil physical structure and accumulating organic carbon of subsoil","authors":"Jingwang Li , Lin Chen , Congzhi Zhang , Donghao Ma , Guixiang Zhou , Qi Ning , Jiabao Zhang","doi":"10.1016/j.still.2024.106252","DOIUrl":"10.1016/j.still.2024.106252","url":null,"abstract":"<div><p>Continuous rotary tillage has resulted in several issues, including a thin tillage layer with low soil organic carbon (SOC) and soil compaction, impeding crop root development and resulting in low crop yields, especially in clay soils. Although deep tillage can increase crop yields by loosening the soil structure and expanding the tillage layer it is rarely applied in soils with high clay contents (such as lime concretion black soil) because of its high energy consumption and low economic benefit. This study aimed at investigating the modified tillage practice with lower energy consumption (combining rotary and deep tillage to return crop straw into different depths among different years) in the higher crop yield on a clay soil. We conducted a 5-year (2017–2021) field experiment in a lime concretion black soil with high clay content. The experiment included four treatments: conventional tillage (CT) to return crop straw into the 15-cm layer without and with fertilizer addition, modified tillage (MT) to return crop straw into different depths (i.e., 35 cm in 2017, 20 cm in 2018, 10 cm in 2019, and 20 cm in 2020) with fertilizer addition, and MT combined with fertilizer and activator addition. We investigated the crop yields, soil physicochemical properties, and microbial communities at the topsoil (0–15 cm) and subsoil (15–30 cm) layers. Compared with CT, MT increased maize (<em>Zea mays Linn.</em>) and wheat (<em>Triticum aestivum L.</em>) yields by 9.8 % and 11.4 %, respectively, by enhancing the SOC content and improving the soil physical properties of the subsoil (i.e., aggregate stability, macroaggregate proportion, soil porosity, and the proportion of large and small pores). We suggest a scientific tillage practice for future attempts to increase SOC sequestration and promote crop productivity in agricultural soils, especially those with a high clay content.</p></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":"244 ","pages":"Article 106252"},"PeriodicalIF":6.1,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142089133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gong Wu , Hai-meng Huang , Bei-bei Jia , Lei-lei Hu , Chong-sheng Luan , Qi Wu , Xiao-yu Wang , Xiao-xiao Li , Zhao Che , Zhao-rong Dong , He Song
{"title":"Partial organic substitution increases soil quality and crop yields but promotes global warming potential in a wheat-maize rotation system in China","authors":"Gong Wu , Hai-meng Huang , Bei-bei Jia , Lei-lei Hu , Chong-sheng Luan , Qi Wu , Xiao-yu Wang , Xiao-xiao Li , Zhao Che , Zhao-rong Dong , He Song","doi":"10.1016/j.still.2024.106274","DOIUrl":"10.1016/j.still.2024.106274","url":null,"abstract":"<div><p>Excessive application of synthetic fertilizer has resulted in serious soil degradation and significant greenhouse gases (GHGs) fluxes in farmlands. Partial organic substitution for synthetic fertilizer was considered as a possible strategy for sustainable agricultural development, but its potential effects on soil quality, GHGs emissions, and crop productivity remain unclear. A field experiment across 3-year was conducted to evaluate the responses of soil quality, nitrous oxide (N<sub>2</sub>O), carbon dioxide (CO<sub>2</sub>), and methane (CH<sub>4</sub>) emissions, and crop yields to different ratios of organic fertilizer (OF) to synthetic fertilizer (SF). Six treatments were included: non-fertilization (CK); total SF; total OF; 15 %, 30 %, and 45 % organic substitution (LO, MO, and HO). Soil cumulative N<sub>2</sub>O emission was decreased with increasing organic substitution ratios, mainly attributing to the reducing soil NH<sub>4</sub><sup>+</sup> content. However, organic substitution increased soil CO<sub>2</sub> and CH<sub>4</sub> emissions due to the high manure-driven C input, consequently promoting global warming potential (GWP). Meanwhile, soil organic C, total N, P, available P, K, and C-acquisition enzyme activities were increased with organic substitution, resulting the higher soil quality index (SQI) under HO and OF. HO enhanced the annual yield of wheat and maize by 7.2 % and 13.0 % compared with SF and OF, respectively. The positive relationship between crop yield and SQI indicated that the yield-enhancing effect with partial organic substitution was mainly attributed to the improved synchronization in nutrient supply and soil fertility. Overall, partial organic substitution, especially 45 % organic substitution represents a viable strategy to improve soil quality and crop productivity while mitigating N<sub>2</sub>O emission in wheat-maize rotation systems. However, organic substitution promoted the GWP through stimulating soil CO<sub>2</sub> and CH<sub>4</sub> emissions. Further investigations of optimize fertilization managements are still needed to reduce manure-induced CO<sub>2</sub> and CH<sub>4</sub> emissions to achieve higher climate change mitigation.</p></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":"244 ","pages":"Article 106274"},"PeriodicalIF":6.1,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142083634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bolang Chen , Zupeng Ye , Xuexia Tang , Zhongping Chai , Yue Ma , Jiandong Sheng , Gu Feng
{"title":"A comprehensive evaluation of the optimum amount of phosphate fertilizer for drip irrigation of cotton under mulch based on root morphology, physiology, and mycorrhizal symbiosis","authors":"Bolang Chen , Zupeng Ye , Xuexia Tang , Zhongping Chai , Yue Ma , Jiandong Sheng , Gu Feng","doi":"10.1016/j.still.2024.106276","DOIUrl":"10.1016/j.still.2024.106276","url":null,"abstract":"<div><p>Cotton (Gossypium hirsutum L.) has been a valuable economic crop in arid Xinjiang, whose cotton production accounts for 90.2 % of the grand total in China. Low phosphorus (P) bioavailability brings severe restrictions for cotton production in arid regions as a result of P precipitation caused by high soil pH and Ca<sup>2+</sup> content. Therefore, how to utilize the biological potential to improve the efficiency of P utilization has become a hotspot for international research.To learn more about P bioavailability in cotton from the perspectives of root morphology, rhizosphere physiology, and mycorrhizal association, especially the synergistic effect of these three under the optimal P input on P bioavailability. A 2-year, split-plot field experiment was conducted consecutively from 2016 to 2017, in which the main plots contained three cotton varieties (XLZ57, XLZ19, and XLZ13) and the subplots were treated with five P levels (0, 75, 150, 300, and 450 kg P<sub>2</sub>O<sub>5</sub> ha<sup>−1</sup>). Optimal P input (P fertilizer application: 75–150 kg P<sub>2</sub>O<sub>5</sub> ha<sup>−1</sup> or soil available P content in topsoil: 11–25 mg kg<sup>−1</sup>) was found to not only improve the distribution of root system and mycorrhiza in soil but also promote the secretion of protons and alkaline phosphatase in the rhizosphere, leading to higher P uptake and cotton yield. Although high P input (300–450 kg P<sub>2</sub>O<sub>5</sub> ha<sup>−1</sup>) increased soil available P content, it inhibited root growth, mycorrhizal infection and phosphatase activity, thus reducing P uptake and product. To obtain a relatively high yield (5500–6500 kg ha<sup>−1</sup> unginned cotton) and high P accumulation (120–130 kg P<sub>2</sub>O<sub>5</sub> ha<sup>−1</sup>), an ideotype cotton root/rhizosphere should be characterized by high root length density (4–5 m 1000 cm<sup>−3</sup>), large hyphal density (15–18 m g<sup>−1</sup>), and greater exudation of protons and alkaline phosphatase (60–70 μg g<sup>−1</sup> h<sup>−1</sup>) in topsoil, as well as a large microbial P (MBP) value (25–28 mg kg<sup>−1</sup>).Compared to mycorrhizal symbiosis (reflected by hyphal density), rhizosphere secretion of protons and alkaline phosphatase (rhizosphere physiology) and root length density (architecture) pose greater contributions to higher rhizosphere P availability and cotton P uptake. Moreover, the rhizosphere process and P use efficiency (PUE) of the P-efficient cultivar (XLZ19) were higher compared to the P-inefficient one (XLZ13).The results suggest that maximizing root/rhizosphere efficiency under optimal P input may improve cotton productivity and P uptake efficiency in mulched cotton fertigation systems in arid and semi-arid areas.</p></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":"244 ","pages":"Article 106276"},"PeriodicalIF":6.1,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142077389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Temperature sensitivity of soil respiration to elevated temperature and nitrogen availability","authors":"Yufei Li, Kaiping Zhang, Yuling Li, Pingxing Wan, Zhongke Zhou, Wucheng Zhao, Ningning Zhang, Ning Chai, Zhixin Li, Yalan Huang, Feng Zhang","doi":"10.1016/j.still.2024.106267","DOIUrl":"10.1016/j.still.2024.106267","url":null,"abstract":"<div><p>Plastic film mulching (PFM) and nitrogen (N) fertilization are two important agricultural management methods that are used to enhance crop yields in semi-arid dryland agriculture. However, the impacts of PFM and N fertilization on the temperature sensitivity (Q<sub>10</sub>) of soil respiration (R<sub>t</sub>), particularly its heterotrophic (R<sub>h</sub>) and autotrophic (R<sub>a</sub>) components, remain unclear. To investigate this, a trenching experiment was carried out between 2019 and 2021 in a rainfed maize-cultivated cropland that had been under cultivation for 7 years. There were four treatments: no PFM and N fertilization (control), full PFM without N fertilization (PFM), 150 kg N ha<sup>–1</sup> fertilization without PFM (Nfer), and full PFM with 150 kg N ha<sup>–1</sup> fertilization (PFM+Nfer). PFM and N fertilization not only enhanced crop yield and root biomass but also increased soil total respiration (R<sub>t</sub>) and its components, due to improved soil hydrothermal conditions with PFM and increased N availability with N fertilization. Soil hydrothermal conditions and root biomass were identified as the most important factors influencing R<sub>h</sub> and R<sub>a</sub>, respectively. The greater increase in R<sub>a</sub> (84 %–212 %) compared to R<sub>h</sub> (9 %–29 %) resulted in a decrease in the proportion of R<sub>h</sub> in R<sub>t</sub> decreasing from 81.2 % in the control to 58 % under the PFM+Nfer treatment. The R<sub>h</sub>/R<sub>t</sub> ratio decreased in all three treatments compared to the control (<em>p</em> < 0.05). The increase in R<sub>h</sub> under PFM led to a decrease in soil organic carbon (SOC) by 17 %. Specifically, the soil labile C content (i.e. LFOC 44 %) decreased more under PFM and PFM+Nfer (<em>p</em> < 0.05) compared to control, but not under the Nfer treatment (<em>p</em> > 0.05). Plastic film mulching increased the Q<sub>10</sub> of R<sub>h</sub> (<em>p</em> < 0.05) through decrease the content of soil labile C, whereas N fertilization had no effect (<em>p</em> > 0.05). Both PFM and N fertilization increased the Q<sub>10</sub> of R<sub>a</sub> (<em>p</em> < 0.05) by increasing root biomass. The impact of R<sub>a</sub>’s Q<sub>10</sub> (0.66) on R<sub>t</sub>’s Q<sub>10</sub> is greater compared to R<sub>h</sub>’s Q<sub>10</sub> (0.31). To our knowledge, this is the first long-term field study to examine the response of R<sub>t</sub> components and their Q<sub>10</sub> to PFM and N fertilization. Our results highlight that soil labile C and root biomass are the determining factors for the Q<sub>10</sub> of R<sub>h</sub> and R<sub>a</sub>, respectively. We emphasize the importance of accurately modeling the temperature responses of R<sub>h</sub> and R<sub>a</sub> when predicting R<sub>t</sub> under climate change scenarios.</p></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":"244 ","pages":"Article 106267"},"PeriodicalIF":6.1,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142048603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chong Luo , Wenqi Zhang , Xiangtian Meng , Yunfei Yu , Xinle Zhang , Huanjun Liu
{"title":"Mapping the soil organic matter content in Northeast China considering the difference between dry lands and paddy fields","authors":"Chong Luo , Wenqi Zhang , Xiangtian Meng , Yunfei Yu , Xinle Zhang , Huanjun Liu","doi":"10.1016/j.still.2024.106270","DOIUrl":"10.1016/j.still.2024.106270","url":null,"abstract":"<div><p>Mapping the soil organic matter (SOM) content of cultivated lands at the regional scale is of great significance for evaluating the cultivated land quality and monitoring the soil carbon cycle, especially in the fertile black-soil area of China. The large paddy fields area is one of the characteristics of the black-soil area in Northeast China. The vast differences between paddy fields and dry lands may pose a major challenge in mapping the SOM contents of local cultivated lands. In this study, the SOM of cultivated lands in Northeast China is taken as the research object, and all available Landsat-8 images from 2014 to 2022 and the main environmental covariates (climate and terrain) are obtained. By combining the random forest regression algorithm, SOM prediction models of paddy fields and dry lands are established to evaluate the optimal window period and appropriate environmental covariates for paddy fields and dry lands. Finally, the accuracy difference between the global regression and local regression results for distinguishing paddy fields and dry lands is compared. The results showed that (1) the SOM content in Northeast China increased gradually from south to north, and the average SOM content in paddy fields was approximately 0.4 % higher than that in dry lands; (2) the SOM mapping time windows in paddy fields and dry lands in Northeast China differed, with paddy fields mapped in April and dry lands mapped in May; (3) the addition of environmental covariates improved the SOM prediction accuracy, with a greater importance for mapping SOM in paddy fields than in dry lands; and (4) the local regression results based on the division of paddy fields and dry lands achieved the highest prediction accuracy, with the highest determination coefficient (R<sup>2</sup>) being 0.653 and lowest root mean square error (RMSE) being 1.144 %. This study proves that different types of arable land have a great impact on the SOM prediction accuracy. Researchers should adopt different strategies to map the SOM contents of paddy fields and dry lands.</p></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":"244 ","pages":"Article 106270"},"PeriodicalIF":6.1,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142048604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fernando Marcos Brignoli, Ana Paula Barroco Geraldini, Cássio Antonio Tormena, Marcelo Alessandro Araújo, Marcelo Augusto Batista
{"title":"Liming and phosphate fertilization influence soil fertility, physical properties, and carbon stock in a subtropical Ferralsol in Brazil","authors":"Fernando Marcos Brignoli, Ana Paula Barroco Geraldini, Cássio Antonio Tormena, Marcelo Alessandro Araújo, Marcelo Augusto Batista","doi":"10.1016/j.still.2024.106268","DOIUrl":"10.1016/j.still.2024.106268","url":null,"abstract":"<div><p>Understanding the effects of liming plus phosphate fertilization on soil physical and chemical properties, as well as carbon stock, is critical for improving soil fertility management under conventional till (CT) and no-till (NT) systems. This study aimed to quantify changes in these soil properties resulting from incorporation (CT) or not (NT) of limestone and phosphorus (P) in a subtropical Ferralsol in southern Brazil. The experiment was conducted in Campo Mourão, Paraná State, Brazil, according to a randomized complete block design with a 6 × 4 factorial arrangement and four replications. The treatments comprised six strategies for limestone and P management and four soil depth layers (0–0.05, 0.05–0.10, 0.10–0.20 and 0.20–0.40 m), as follows: NLNT - no liming under no-till; NLCT - no liming under conventional till; LPNT - liming and P fertilization under no-till; LPCT - liming and P fertilization under conventional till; LNT - liming under no-till; and LCT - liming under conventional till. In 2012, 5.0 Mg ha<sup>−1</sup> dolomitic limestone and 53.3 kg ha<sup>−1</sup> P were applied. In 2016, dolomitic limestone was reapplied to a soybean–wheat rotation. Liming and liming plus P treatments influenced soil properties up to a depth of 0.10 m, increasing pH and decreasing Al<sup>3+</sup>, without significant differences between CT and NT. Higher levels of Ca<sup>2+</sup> and Mg<sup>2+</sup> were observed at 0–0.05 m, except in unlimed treatments. Liming and liming plus P fertilization treatments resulted in mean increments of 1.83 and 1.37 cmol<sub>c</sub> dm<sup>−3</sup> in Ca<sup>2+</sup> and Mg<sup>2+</sup> levels, respectively, regardless of the tillage system. Base saturation did not differ between treatments in the 0.10 m layer. However, LPCT resulted in higher base saturation in the 0.10–0.20 m (55 %) and 0.20–0.40 m (53 %) layers. P contents were affected up to 0.10 m depth, being 30 % higher in LPNT than in LPCT at 0–0.05 m. In the 0–0.05 m layer, soil bulk density was highest in NLCT and LPCT, and macroporosity was lowest in LPCT. Carbon stock was not affected by tillage practices, liming, or P fertilization. There was a positive correlation between P content and carbon stock at 0.20–0.40 m, suggesting that increased P availability at depth contributes to carbon sequestration. At 0–0.05 m, soil physical properties were negatively influenced by the combined application of liming and P fertilization under CT, indicating possible simultaneous effects on clay dispersion and pore obstruction.</p></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":"244 ","pages":"Article 106268"},"PeriodicalIF":6.1,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142048984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yu Zhang , Chong Luo , Yuhong Zhang , Liren Gao , Yihao Wang , Zexin Wu , Wenqi Zhang , Huanjun Liu
{"title":"Integration of bare soil and crop growth remote sensing data to improve the accuracy of soil organic matter mapping in black soil areas","authors":"Yu Zhang , Chong Luo , Yuhong Zhang , Liren Gao , Yihao Wang , Zexin Wu , Wenqi Zhang , Huanjun Liu","doi":"10.1016/j.still.2024.106269","DOIUrl":"10.1016/j.still.2024.106269","url":null,"abstract":"<div><p>Accurately mapping the spatial distribution of soil organic matter (SOM) content is critical for informed land management decisions and comprehensive climate change analyses. Remote sensing-based SOM mapping models during periods of bare soil exposure have demonstrated efficacy in various regional studies. However, integrating bare soil imagery with growing season imagery for SOM content mapping remains a complex process. We conducted a study in Youyi Farm, a representative area of black soil in Northeast China. We collected 574 soil samples (0–20 cm) with SOM content through field sampling and laboratory analysis. Additionally, cloud-free Sentinel-2 images were obtained from the Google Earth Engine (GEE) platform for both the bare soil period (April-June, October) and crop growth period (July-September) from 2019 to 2021. To assess the influence of crop growth information on SOM mapping, we incorporated remote sensing imagery during the crop growth period, considering different crop type zones (maize (Zea mays L.), soybean (Glycine max L.), and rice (Oryza sativa L.)). We conducted overall and zonal regressions using the random forest (RF) model to validate the prediction results through cross-validation. Our findings indicate that: (1) adding crop growth period images to the bare soil period images in different years can improve the accuracy of SOM mapping. For example, in the overall regression model of 2020, the highest accuracy was achieved by using the combination of May-July images, with an R<sup>2</sup> value of 0.70 and an RMSE value of 0.71 %; (2) zonal regression by differentiating crop types can effectively improve the SOM mapping accuracy. In 2019, using zonal regression, the R<sup>2</sup> of SOM mapping accuracy was improved by 0.02 and the RMSE was reduced by 0.03 % compared with the overall regression; (3) precipitation is an important factor affecting the accuracy of SOM prediction, and the lower the precipitation, the higher the accuracy of SOM prediction. In summary, the results of this study show that in the SOM remote sensing mapping of the black soil area, the growing period remote sensing information of different crop types should be comprehensively considered and combined with the image data of the years of lower precipitation, the accuracy of the SOM mapping can be effectively improved, which provides a new technological path and an application basis for the enhancement of the accuracy in remote sensing mapping with soil attributes.</p></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":"244 ","pages":"Article 106269"},"PeriodicalIF":6.1,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142041171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Linlin Wu , Mingchang Wang , Dehua Mao , Xiaoyan Li , Zongming Wang
{"title":"Temperature related to the spatial heterogeneity of wetland soil total nitrogen content in a frozen zone","authors":"Linlin Wu , Mingchang Wang , Dehua Mao , Xiaoyan Li , Zongming Wang","doi":"10.1016/j.still.2024.106254","DOIUrl":"10.1016/j.still.2024.106254","url":null,"abstract":"<div><p>Changes in soil total nitrogen (N) content would affect wetland function and the global N cycle. Determination of spatial heterogeneity controlling factors of wetland soil total N content per unit mass is essential to assess responses of ecosystem N cycle to global change. However, such information is limited in permafrost zones because few soil profiles have been acquired and methods to predict spatial distributions of wetland soil total N content in large areas are inefficient, which increase uncertainty in evaluations of N cycle at national or global scales. To determine the spatial heterogeneity of wetland soil total N content at different soil depths and frozen zones and the factors controlling wetland soil total N content in the frozen zones of Northeast China, the spatial pattern of wetland soil total N content was investigated by using a random forest method that combined field samples with environmental factors. Vertically, wetland soil total N content decreased with increasing soil depth, with the highest content in the top soil layer (0–30 cm). Spatially, wetland soil total N content decreased from northwest to southeast, with relatively high total N content in a continuous permafrost zone and relatively low total N content in a seasonally frozen zone. The overall coefficient of variation of wetland soil total N content in the frozen zones of Northeast was 29.58 %, indicating moderate variation. Land surface temperature, mean annual temperature, and mean annual humidity significantly affected total N content in 0–30 and 30–60 cm soil layers, suggesting that variations in temperature and humidity altered sequestration processes of wetland soil total N content. In the 60–100 cm soil layer, compared with other environmental factors, mean annual humidity, altitude, and mean annual precipitation had the greatest influence on the spatial distribution of wetland soil total N content. The study unravels the spatial pattern of soil total N content in frozen zones of Northeast China and reflects the direct and indirect effects of environmental factors on total N content. This provides a basis for the management and protection of wetland ecosystems.</p></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":"244 ","pages":"Article 106254"},"PeriodicalIF":6.1,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142011231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}