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学者姓名：邢世和
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Background and aimsSilicon (Si) has been shown to alleviate cadmium (Cd) toxicity in plants, but the effect of Si on hyperaccumulators such as S. alfredii has not been fully elucidated. This study evaluated the impact of exogenous Si on growth, Cd accumulation, and rhizosphere properties of S. alfredii.MethodsSi was applied to S. alfredii and various parameters were assessed, including biomass, shoot Cd content, chlorophyll, carotenoid levels, malondialdehyde (MDA) content, antioxidant enzyme activity, cell wall composition, soil nutrient availability, and rhizosphere enzyme activities. A thorough transcriptomic analysis was also conducted.ResultsSi significantly increased shoot biomass (21.47-104.35%) and Cd accumulation (144.60-747.11%) in S. alfredii. Si also enhanced chlorophyll levels, reduced the malondialdehyde (MDA) content, increased antioxidant enzyme activities, and mitigated Cd-induced oxidative stress. Si boosted cell wall components, thereby facilitating Cd transport in roots. In rhizosphere soil, Si improved alkaline hydrolysis of nitrogen (AHN), available phosphorus (AP), available potassium (AK), dissolved organic carbon (DOC), and increased available Cd content. Si enhanced rhizospheric enzyme activities. Positive correlations were observed between rhizosphere nutrient availability and plant biomass, enzyme activities and Cd accumulation. Transcriptome analysis showed a higher expression of stress responsive transcription factors (WRKY, basic leucine zipper (bZIP), MYB, NAC) and genes encoding functions involved in metal transport (Heavy Metal ATPases (HMA), Copper Transporter (COPT), chelation (Phytochelatins (PCs), Metallothioneins (MTs), Glutathione (GSH)), and cell wall biosynthesis (Cellulose synthases (Ces), Pectin Methylesterases (PME)).ConclusionsSi enhanced the tolerance and accumulation of Cd in S. alfredii, underscoring its potential in phytoextraction applications.
Keyword ：
Antioxidant defense Antioxidant defense Biomass Biomass Phytoextraction Phytoextraction Rhizospheric nutrient Rhizospheric nutrient Transcriptomic analysis Transcriptomic analysis
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| GB/T 7714 | Xu, Junlong , Shao, Yudie , Rao, Xinhao et al. Silicon enhanced phytoextraction of Sedum alfredii Hance by improving growth, Cd tolerance, and remolding rhizospheric properties [J]. | PLANT AND SOIL , 2025 , 512 (1-2) : 819-836 . |
| MLA | Xu, Junlong et al. "Silicon enhanced phytoextraction of Sedum alfredii Hance by improving growth, Cd tolerance, and remolding rhizospheric properties" . | PLANT AND SOIL 512 . 1-2 (2025) : 819-836 . |
| APA | Xu, Junlong , Shao, Yudie , Rao, Xinhao , Tang, Jinliang , Rensing, Christopher , Alwathnani, Hend et al. Silicon enhanced phytoextraction of Sedum alfredii Hance by improving growth, Cd tolerance, and remolding rhizospheric properties . | PLANT AND SOIL , 2025 , 512 (1-2) , 819-836 . |
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Soil organic carbon (SOC) improves soil structure, retains water, and increases nutrient availability, which enhances crop productivity and serves as a significant carbon sink for climate mitigation. While it has been proposed that alterations in land use can significantly influence SOC sequestration, limited research has delved into the distinct impacts of various types of cultivated land use. The main objective of this study was to compare differences in SOC dynamics across diverse cultivated land use types in 84 counties (cities and districts) within Fujian Province, a typical subtropical area of China. This study utilizes 230,445 measured soil samples and a high-resolution 1:50,000 soil map-the most detailed database of its kind applied at the provincial scale-to simulate SOC dynamics under different cultivated land use types from 2008 to 2020. By integrating this comprehensive dataset with the DNDC (Denitrification and Decomposition) model, our approach offers greater spatial precision and more robust simulations. The results indicated that the average annual soil carbon sequestration rate (dSOC) for all cultivated land, paddy fields, dry land, and irrigated land, was 13.16, 30.98,-12.31, and-5.52 kg & sdot;ha- 1, respectively. The total change of SOC (T Delta SOC) values were 171.06 Gg and 402.80 Gg for all cultivated land and paddy fields, while they were-160.20 Gg and-71.72 Gg for dry land and irrigated land, respectively. Over the past 13 years, the interannual variations of T Delta SOC reveal a range of-263.66 to 254.71 Gg across all cultivated land in the province. Positive T Delta SOC for all cultivated land dominated from 2008 to 2016, while a shift to negative values is apparent after 2017. In general, the cultivated land throughout the province displayed a modest carbon-sink behavior. More specifically, paddy fields functioned as effective carbon sinks, while both dry land and irrigated land behaved as carbon sources. The high initial SOC content is the main direct factor negatively correlated with dSOC. Rainfall indirectly reduces dSOC by promoting an increase in clay content in both dry land and irrigated land. To improve future agricultural management, we should increase the amount of organic fertilizer applied to paddy field while maintaining economic efficiency and crop growth, and apply biochar and implement wet season drainage for both dry and irrigated land.
Keyword ：
Cultivated land use types Cultivated land use types DNDC model DNDC model Mitigation options Mitigation options SOC dynamics SOC dynamics Subtropical agroecosystem Subtropical agroecosystem
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| GB/T 7714 | Li, Jianming , Li, Siqi , Zhao, Rui et al. Soil organic carbon dynamics (2008-2020) across different cultivated land use types in a subtropical region [J]. | GEODERMA REGIONAL , 2025 , 40 . |
| MLA | Li, Jianming et al. "Soil organic carbon dynamics (2008-2020) across different cultivated land use types in a subtropical region" . | GEODERMA REGIONAL 40 (2025) . |
| APA | Li, Jianming , Li, Siqi , Zhao, Rui , Xing, Shihe , Chen, Hanyue , Huang, Yan et al. Soil organic carbon dynamics (2008-2020) across different cultivated land use types in a subtropical region . | GEODERMA REGIONAL , 2025 , 40 . |
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The ecological stoichiometry of nitrogen to phosphorus ratios (N: P) plays a pivotal role in understanding elemental balance within ecological systems. Deeper understanding the dynamic changes of soil N: P ratios is vital for gaining insight into nitrogen and phosphorus cycling in ecosystems, soil management practices, and ensuring food security. This study aimed to provide a theoretical foundation for understanding of the dynamic N and P cycles within terrestrial ecosystems. Methods: The spatio-temporal variations of N: P ratios and impact factors in cropland topsoils during 1983 to 2018 in Fujian Province, China were studied and discussed by the models of geostatistics, gravity center shift and grey correlation. Results: The N: P ratios in farmland topsoils were 2.01, 2.21, and 1.80 in 1983, 2008, and 2018, respectively, exhibiting a moderate degree of variability. The gravity center of topsoil N: P ratios shifted to northwest during both 1983-2008 and 1983-2018, while it shifted to southwest during 2008-2018. Conclusions: Short-term changes in the topsoil N: P ratio was found to be influenced by N and P fertilizer applications and mean annual temperature, while the long-term changes were closely associated with soil organic matter content, mean annual precipitation, and the proportion of the primary industry. These findings offer valuable insights for formulating soil management strategies and promoting sustainable agricultural development in the study region.
Keyword ：
Topsoil N: P ratio ecological stoichiometry spatio-temporal variation impact factor Topsoil N: P ratio ecological stoichiometry spatio-temporal variation impact factor
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| GB/T 7714 | Huang, Qian , Long, Jun , Zhang, Liming et al. Spatio-Temporal Variations of Nitrogen to Phosphorus Ratios (N: P) in Farmland Topsoils of Fujian Province, China [J]. | JOURNAL OF SOIL SCIENCE AND PLANT NUTRITION , 2025 , 25 (2) : 2897-2906 . |
| MLA | Huang, Qian et al. "Spatio-Temporal Variations of Nitrogen to Phosphorus Ratios (N: P) in Farmland Topsoils of Fujian Province, China" . | JOURNAL OF SOIL SCIENCE AND PLANT NUTRITION 25 . 2 (2025) : 2897-2906 . |
| APA | Huang, Qian , Long, Jun , Zhang, Liming , Qiu, Longxia , Xing, Shihe . Spatio-Temporal Variations of Nitrogen to Phosphorus Ratios (N: P) in Farmland Topsoils of Fujian Province, China . | JOURNAL OF SOIL SCIENCE AND PLANT NUTRITION , 2025 , 25 (2) , 2897-2906 . |
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Soluble organic nitrogen (SON) plays a critical role in soil nitrogen cycling, yet the effects of Chinese milk vetch (CMV) application on the composition of SON within paddy soil profiles remains poorly understood. This study aimed to investigate the effects of varying CMV application rates on the composition and vertical distribution of SON in paddy soils, evaluating its potential implications for soil fertility and nitrogen leaching. A three-year field experiment was conducted in a subtropical rice cultivation system, employing four CMV application rates (0, 15,000, 30,000, and 45,000 kg ha-1). Soil samples were collected from three depth layers (0-20 cm, 20-40 cm, and 40-60 cm) at the rice maturity stage, and SON components, including free amino acid nitrogen (FAA-N), amide nitrogen (A-N), and soluble protein nitrogen (SP-N), were analyzed. The results demonstrated that CMV application significantly enhanced SON content, particularly in the topsoil (0-20 cm), with a 49.87% increase under the 45,000 kg ha-1 treatment. SON constituted over 50% of the total soluble nitrogen in the 0-60 cm layer, with FAA-N, A-N, and SP-N identified as the predominant components. CMV facilitated the accumulation of small-molecular SON (e.g., FAA-N and A-N) in deeper soil layers, with FAA-N content increasing by 79.13% in the 20-40 cm layer and A-N content increasing by 64.85% in the 40-60 cm layer under the 45,000 kg ha-1 treatment. In contrast, high-molecular-weight SON (e.g., SP-N) primarily accumulated in the topsoil due to stronger adsorption, while small-molecular-weight SON exhibited greater mobility, thereby elevating the risk of nitrogen leaching. These findings highlight the need for optimized CMV application rates to balance soil fertility and environmental sustainability in rice cropping systems.
Keyword ：
amide nitrogen amide nitrogen free amino acid free amino acid green manure green manure nitrogen leaching nitrogen leaching soil profile soil profile soluble protein soluble protein
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| GB/T 7714 | Yang, Jing , Xiang, Le , Ding, Fenghua et al. Vertical Distribution of Soluble Organic Nitrogen Composition in Paddy Soils: Effects of Chinese Milk Vetch Application Rates [J]. | AGRONOMY-BASEL , 2025 , 15 (4) . |
| MLA | Yang, Jing et al. "Vertical Distribution of Soluble Organic Nitrogen Composition in Paddy Soils: Effects of Chinese Milk Vetch Application Rates" . | AGRONOMY-BASEL 15 . 4 (2025) . |
| APA | Yang, Jing , Xiang, Le , Ding, Fenghua , Huang, Hongyu , Zhou, Biqing , Zhao, Chengsen et al. Vertical Distribution of Soluble Organic Nitrogen Composition in Paddy Soils: Effects of Chinese Milk Vetch Application Rates . | AGRONOMY-BASEL , 2025 , 15 (4) . |
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全球正经历以变暖为主、极端事件趋强趋频的气候变化，但其对土壤有机碳（Soil Organic Carbon,SOC）的影响并不完全一致，区分并量化极端高温和长期变暖对SOC的影响是制定适应性策略的关键。利用1︰5万大比例尺土壤数据库和DNDC(DeNitrification-DeComposition)模型，模拟了1980—2016年福建省漳州市水田土壤在气候平均态、极端高温、长期变暖及实测温度四种气候情景下SOC的动态变化。结果表明，长期变暖、极端高温及二者协同对漳州市水田SOC的净贡献量分别为13.81、–80.02和–66.14 Gg。因此，虽然在气候变暖背景下土壤仍具有较强的固碳能力，但未来频发的极端高温事件可能在一定程度上造成更大的碳损失。
Keyword ：
DNDC模型 DNDC模型 土壤有机碳 土壤有机碳 极端高温 极端高温 水稻土 水稻土 长期变暖 长期变暖
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| GB/T 7714 | 沈金泉 , 廖文强 , 李晶 et al. 基于DNDC模型评估极端高温和长期变暖对水田土壤有机碳的影响——以福建省漳州市为例 [J]. | 土壤学报 , 2025 , 62 (03) : 0 . |
| MLA | 沈金泉 et al. "基于DNDC模型评估极端高温和长期变暖对水田土壤有机碳的影响——以福建省漳州市为例" . | 土壤学报 62 . 03 (2025) : 0 . |
| APA | 沈金泉 , 廖文强 , 李晶 , 陈伟明 , 孙佳蕊 , 谢希临 et al. 基于DNDC模型评估极端高温和长期变暖对水田土壤有机碳的影响——以福建省漳州市为例 . | 土壤学报 , 2025 , 62 (03) , 0 . |
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【目的】明确不同利用类型耕地土壤“碳源/汇”的贡献大小，为合理制定农业碳中和措施提供基础。研究不同利用类型耕地土壤有机碳（Soil Organic Carbon,SOC）的时空演变特征，探讨影响SOC变化的主控因子及其与SOC变化速率(d
Keyword ：
DNDC模型 DNDC模型 亚热带农业生态系统 亚热带农业生态系统 固碳潜力 固碳潜力 有机碳动态模拟 有机碳动态模拟 耕地利用类型 耕地利用类型
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| GB/T 7714 | 李健铭 , 李思琪 , 赵芮 et al. 基于DNDC模型的福建省不同利用类型耕地土壤固碳潜力未来预估 [J]. | 土壤通报 , 2025 , 56 (03) : 733-744 . |
| MLA | 李健铭 et al. "基于DNDC模型的福建省不同利用类型耕地土壤固碳潜力未来预估" . | 土壤通报 56 . 03 (2025) : 733-744 . |
| APA | 李健铭 , 李思琪 , 赵芮 , 张华 , 廖文强 , 邢世和 et al. 基于DNDC模型的福建省不同利用类型耕地土壤固碳潜力未来预估 . | 土壤通报 , 2025 , 56 (03) , 733-744 . |
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The focus on phytoremediation in soil cadmium (Cd) remediation is driven by its cost-effectiveness and eco-friendliness. Selecting suitable hyperaccumulators and optimizing their growth conditions are key to enhance the efficiency of heavy metal absorption and accumulation. Our research has concentrated on the role of salicylic acid (SA) and jasmonic acid (JA) in facilitating Cd phytoextraction by 'Sedum alfredii (S. alfredii)' through improved soil-microbe interactions. Results showed that SA or JA significantly boosted the growth, stress resistance, and Cd extraction efficiency in S. alfredii. Moreover, these phytohormones enhanced the chemical and biochemical attributes of the rhizosphere soil, such as pH and enzyme activity, affecting soil-root interactions. High-throughput sequencing analysis has shown that Patescibacteria and Umbelopsis enhanced S. alfredii's growth and Cd extraction by modifying the bioavailability and the chemical conditions of Cd in soil. Structural Equation Model analysis further verified that phytohormones significantly enhanced the interaction between S. alfredii, soil, and microbes, leading to a marked increase in Cd accumulation in the plant. These discoveries emphasized the pivotal role of phytohormones in modulating the hyperaccumulators' response to environmental stress and offered significant scientific support for further enhancing the potential of hyperaccumulators in ecological restoration technologies using phytohormones. © 2024 Elsevier B.V.
Keyword ：
Bacteria Bacteria Biochemistry Biochemistry Bioremediation Bioremediation Cadmium Cadmium Cost effectiveness Cost effectiveness Efficiency Efficiency Enzyme activity Enzyme activity Extraction Extraction Plants (botany) Plants (botany) Soil pollution Soil pollution Soil pollution control Soil pollution control Soils Soils
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| GB/T 7714 | Shi, An , Liu, Jing , Zou, Shuang et al. Enhancement of cadmium uptake in Sedum alfredii through interactions between salicylic acid/jasmonic acid and rhizosphere microbial communities [J]. | Science of the Total Environment , 2024 , 947 . |
| MLA | Shi, An et al. "Enhancement of cadmium uptake in Sedum alfredii through interactions between salicylic acid/jasmonic acid and rhizosphere microbial communities" . | Science of the Total Environment 947 (2024) . |
| APA | Shi, An , Liu, Jing , Zou, Shuang , Rensing, Christopher , Zhao, Yi , Zhang, Liming et al. Enhancement of cadmium uptake in Sedum alfredii through interactions between salicylic acid/jasmonic acid and rhizosphere microbial communities . | Science of the Total Environment , 2024 , 947 . |
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水稻是中国主要的粮食作物之一,实时且准确获取稻田区域及其空间分布特征是指导和管理农业生产的基础,对于保障国家粮食安全具有重要意义。但传统遥感变量与基于像元的机器学习分类算法在准确识别破碎度较高的稻田方面存在较大挑战。物候参数能够反映不同植被的生长动态,在识别稻田方面具有较大的应用潜力。面向对象的随机森林分类可以有效避免“椒盐”现象,提高稻田的分类精度。鉴于此,该研究以中国南方典型山地丘陵区——福建省漳州市稻田为研究对象,基于归一化植被指数、改进归一化水体指数、土壤调节植被指数、垂直极化后向散射系数、交叉极化后向散射系数和物候参数等多个遥感变量,利用面向对象的随机森林分类算法识别稻田,验证和分析物候参数与面向对象的随机森林分类法在提高南方复杂地形区稻田识别精度方面的有效性。结果表明:1)福建省漳州市稻田的最高识别精度为94.47%,Kappa系数为0.92,传统遥感变量、物候参数及面向对象的随机森林分类算法在准确识别破碎度较高的稻田方面具有协同优势;2)物候参数在表征植被生长与植被类型差异等方面具有显著优势,相较于仅基于传统遥感变量的试验组,物候参数与传统遥感变量的组合能够将稻田识别总体精度提高8.78～9.36个百分点;3)对于复杂地形区破碎度较高的稻田,面向对象的随机森林分类方法能够清晰明确地勾勒出稻田的形状与边界信息,且能够有效避免“椒盐”现象,相较于基于像元的分类方法,面向对象的分类法可将稻田识别精度提高0.58～1.53个百分点,因此,更适用于复杂地形区破碎农田的遥感提取。该研究结果可提高福建省漳州市稻田制图产品的应用价值,也可为中国南方复杂地形区稻田识别精度的进一步提高提供参考。
Keyword ：
时间序列 时间序列 物候参数 物候参数 稻田 稻田 遥感 遥感 随机森林 随机森林
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| GB/T 7714 | 姚园 , 毋亭 , 李一凡 et al. 基于水稻物候参数及面向对象算法的稻田识别 [J]. | 农业工程学报 , 2024 , 40 (11) : 150-158 . |
| MLA | 姚园 et al. "基于水稻物候参数及面向对象算法的稻田识别" . | 农业工程学报 40 . 11 (2024) : 150-158 . |
| APA | 姚园 , 毋亭 , 李一凡 , 黎志强 , 钱秀丽 , 张黎明 et al. 基于水稻物候参数及面向对象算法的稻田识别 . | 农业工程学报 , 2024 , 40 (11) , 150-158 . |
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Estimating the spatiotemporal variations and driving factors of farmland soil organic carbon density (SOCD) is of great significance for enhancing soil carbon sequestration capacity. Herein, a large region of complex topography was targeted, which includes hill-mountain, valley-basin, and plain-platform. Based on the massive amounts of sampling data (57,254 measured values) and a large-scale soil map of 1:10,000 (371,976 polygonal patches), the gravity center migration model and gray correlation model were used to quantify the spatiotemporal variations and driving factors of farmland SOCD. The results indicated that the farmland soils in the study area had dual functions of carbon source and sink during 1982-2018, of which 45.50 % and 54.50 % were identified as carbon source and sink, respectively. Specifically, the SOCD for the entire study area, its hill-mountain, and valley-basin increased from 2.79 kg m-2, 2.97 kg m- 2, and 3.06 kg m- 2 to 2.87 kg m-2, 3.06 kg m- 2, and 3.14 kg m- 2, respectively, with 0.08 kg m- 2 carbon sequestrations and a northeast migration direction for the SOCD gravity center (angle: 21.94 degrees, 23.56 degrees, and 18.82 degrees; distance: 1.56 km, 2.73 km, and 3.20 km). There was a smaller increase of 0.07 kg m-2 in SOCD for the plain-platform from 2.38 kg m- 2 (1982) to 2.45 kg m-2 (2018), and the SOCD gravity center migrated to the southwest with an angle of - 172.46 degrees and a distance of 1.84 km. Thus, the spatiotemporal variations of farmland SOCD in various landforms varied greatly. Over the past 36 years, SOCD variations were driven by a combination of intrinsic soil factors and external factors such as human disturbance. However, the driving effects of these factors on the landforms of hill-mountain, valley-basin, and plain-platform were quite different in size and order. Therefore, we suggest that topography must be considered when formulating policies to improve soil carbon sequestration, and priority should be given to landform-specific SOCD variation and the factors contributing to them.
Keyword ：
Complex topography Complex topography Driving factors Driving factors Farmland soil organic carbon Farmland soil organic carbon Gravity center migration model Gravity center migration model Gray correlation model Gray correlation model Spatiotemporal variations Spatiotemporal variations
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| GB/T 7714 | Long, Jun , Li, Jing , Huang, Qian et al. Spatiotemporal variations and driving factors of farmland soil organic carbon in various landforms of a complex topography [J]. | SOIL & TILLAGE RESEARCH , 2024 , 244 . |
| MLA | Long, Jun et al. "Spatiotemporal variations and driving factors of farmland soil organic carbon in various landforms of a complex topography" . | SOIL & TILLAGE RESEARCH 244 (2024) . |
| APA | Long, Jun , Li, Jing , Huang, Qian , Lu, Luanmei , Li, Honghong , Xing, Shihe et al. Spatiotemporal variations and driving factors of farmland soil organic carbon in various landforms of a complex topography . | SOIL & TILLAGE RESEARCH , 2024 , 244 . |
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| GB/T 7714 | Shi, An , Xu, Junlong , Guo, Yingmin et al. "Jasmonic acid's impact on Sedum alfredii growth and cadmium tolerance: A physiological and transcriptomic study" (vol 914, 169939, 2024) [J]. | SCIENCE OF THE TOTAL ENVIRONMENT , 2024 , 927 . |
| MLA | Shi, An et al. ""Jasmonic acid's impact on Sedum alfredii growth and cadmium tolerance: A physiological and transcriptomic study" (vol 914, 169939, 2024)" . | SCIENCE OF THE TOTAL ENVIRONMENT 927 (2024) . |
| APA | Shi, An , Xu, Junlong , Guo, Yingmin , Rensing, Christopher , Chang, Jinqing , Zhang, Taoxiang et al. "Jasmonic acid's impact on Sedum alfredii growth and cadmium tolerance: A physiological and transcriptomic study" (vol 914, 169939, 2024) . | SCIENCE OF THE TOTAL ENVIRONMENT , 2024 , 927 . |
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