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学者姓名：陈瀚阅
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Abstract ：
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 co-contamination of arsenic (As) and cadmium (Cd) in paddy soils threatens rice safety, yet synergistic mitigation strategies using silicon (Si) and ferrous sulfate (FeSO4) remain underexplored. This study integrated hydroponic and soil pot experiments to evaluate Si-FeSO4 interactions on As/Cd accumulation and rice growth. Hydroponic trials employed 21-day-old rice seedlings exposed to 0.5 mg As(III)/Cd(II) L-1 with/without 70 mg Si L-1 and 30-70 mg Fe L-1, followed by sequential harvesting at 14 and 21 days. Soil experiments utilized co-contaminated paddy soil (50 mg As kg(-1) and 1.2 mg Cd kg(-1)) amended with Si (80 or 400 mg kg(-1)) and Fe (100 or 1000 mg kg(-1)), with pore water dynamics monitored over 120 days. Hydroponic results demonstrated that 70 mg Si L-1 combined with 30 or 70 mg Fe L-1 enhanced shoot biomass by 12-79% under As stress, while simultaneously reducing shoot As concentrations by 76-87% and Cd concentrations by 14-33%. Iron plaque induced by FeSO4 exhibited contrasting adsorption behaviors: hydroponic roots immobilized both As and Cd (p < 0.01), whereas roots in soil primarily retained Cd (p < 0.05). In soil experiments, the optimal treatment of 100 mg Fe kg(-1) and 400 mg Si kg(-1) (Fe-1 + Si-2) increased grain biomass by 54%, while reducing As and Cd concentrations by 37% and 42%, respectively. However, a higher Fe dosage (Fe-2: 1000 mg kg(-1) Fe) paradoxically increased grain Cd concentrations. Mechanistically, Si amendment elevated soil pH (Delta + 0.72), facilitating Cd immobilization, while FeSO4 lowered pH (Delta-0.07-0.53), increasing Cd mobility. A strong correlation between soluble Cd and plant uptake was observed (p < 0.01), while changes in As accumulation were unrelated to aqueous behavior. The optimized Si/Fe molar ratio of 7.95:1 effectively mitigated As and Cd co-accumulation, offering a dual-functional strategy for safe rice cultivation in contaminated soils.
Keyword ：
As-Cd co-contamination As-Cd co-contamination iron plaque iron plaque pore water pore water potentially toxic elements potentially toxic elements soil remediation soil remediation
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| GB/T 7714 | You, Yanlin , Guo, Xiaodong , Chen, Jianyu et al. Synergistic Effects of Silicon and Ferrous Sulfate on Reducing Arsenic and Cadmium Accumulation in Rice from Co-Contaminated Soil [J]. | AGRONOMY-BASEL , 2025 , 15 (6) . |
| MLA | You, Yanlin et al. "Synergistic Effects of Silicon and Ferrous Sulfate on Reducing Arsenic and Cadmium Accumulation in Rice from Co-Contaminated Soil" . | AGRONOMY-BASEL 15 . 6 (2025) . |
| APA | You, Yanlin , Guo, Xiaodong , Chen, Jianyu , Liu, Zhiqin , Cai, Qiuying , Yu, Jinyong et al. Synergistic Effects of Silicon and Ferrous Sulfate on Reducing Arsenic and Cadmium Accumulation in Rice from Co-Contaminated Soil . | AGRONOMY-BASEL , 2025 , 15 (6) . |
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OBE模式的“以学生为中心，以教学成果为导向，持续改进”的教育理念与新工科背景下的创新教育理念、实践导向和终身学习等理念不谋而合，以空间信息与数字技术的多学科融合课程为例，通过自顶向下面向课程目标的课程内容设计，以成果为导向的课程考核及以学生为主体的评课体系等多方面，开展基于OBE的空间信息与数字技术专业的专业课程教学改革探索。
Keyword ：
OBE OBE 学生为中心 学生为中心 工程教育认证 工程教育认证 空间信息与数字技术专业 空间信息与数字技术专业
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| GB/T 7714 | 范协裕 , 陈瀚阅 . 面向工程教育认证的课程教学改革探索——以空间信息与数字技术专业核心课程为例 [J]. | 科学咨询 , 2025 , 4 (12) : 166-169 . |
| MLA | 范协裕 et al. "面向工程教育认证的课程教学改革探索——以空间信息与数字技术专业核心课程为例" . | 科学咨询 4 . 12 (2025) : 166-169 . |
| APA | 范协裕 , 陈瀚阅 . 面向工程教育认证的课程教学改革探索——以空间信息与数字技术专业核心课程为例 . | 科学咨询 , 2025 , 4 (12) , 166-169 . |
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Land-use change (LUC) is a significant contributor to the increase in atmospheric CO2 concentrations, with previous studies demonstrating its profound impact on soil organic carbon (SOC). The conversion of primary forests to farmland has been recognized as the most significant type of LUC inducing CO2 release from the soil. Therefore, it is critical to understand the impacts of forest LUC on SOC storage, with a particular focus on primary forest to farmland conversion. In this study, we conducted a meta-analysis of 411 observations from 41 published works and found that SOC storage decreased significantly following the conversion of primary forests to farmland. Factors such as soil depth and climate zone influenced the degree of SOC storage loss, with SOC loss being less severe in deeper soil following a conversion from primary forests to farmland. Moreover, the loss of SOC storage was more severe in temperate regions compared to tropical regions. The input and output of surface SOC, changes in soil structure, and increases in atmospheric CO2 concentrations were significant reasons for the loss of SOC following primary forest to farmland LUC. However, improving tillage methods and implementing sustainable agricultural management strategies can help reduce SOC loss. These findings highlight the importance of sustainable land-use practices in mitigating the negative impacts of forest LUC on SOC storage and the global carbon cycle.
Keyword ：
farmland farmland land-use change land-use change meta-analysis meta-analysis primary forest primary forest soil organic carbon soil organic carbon
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| GB/T 7714 | Xiao, Changgui , Gong, Yaoqi , Pei, Xiaolei et al. Impacts of Land-Use Change from Primary Forest to Farmland on the Storage of Soil Organic Carbon [J]. | APPLIED SCIENCES-BASEL , 2024 , 14 (11) . |
| MLA | Xiao, Changgui et al. "Impacts of Land-Use Change from Primary Forest to Farmland on the Storage of Soil Organic Carbon" . | APPLIED SCIENCES-BASEL 14 . 11 (2024) . |
| APA | Xiao, Changgui , Gong, Yaoqi , Pei, Xiaolei , Chen, Hanyue , Li, Sheng , Lu, Chengwen et al. Impacts of Land-Use Change from Primary Forest to Farmland on the Storage of Soil Organic Carbon . | APPLIED SCIENCES-BASEL , 2024 , 14 (11) . |
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[目的]分析福建省闽侯县多年耕地质量等级的时空变化及布局,为东南丘陵区复杂地貌地带耕地质量的时空格局演变研究提供新思路与新助力.[方法]将时空统计扫描法引入多时序耕地质量监测中,结合传统空间分析方法,对县域耕地质量的连续变化趋势及空间分布进行研究.进一步地,将引入时空扫描模型产生的试验结果与运用传统空间自相关分析法中的局部自相关模型的试验结果进行比对.[结果]①在挖掘高值的聚类特征上,时空扫描模型优于局部自相关模型;②2018-2019 年闽侯县耕地质量等级在变化幅度和空间分布广度上均大于 2019-2020 年的耕地质量等级变化与分布状况;③2018-2020 年闽侯县整体的耕地质量逐年稳定并呈现上升趋势.④根据闽侯县耕地质量的时空格局变异情况将耕地划分为高级优质提升区、低级优质提升区、首要重点整治区、次要重点整治区、适度改良区 5 个区.[结论]补足养分因子、兴建水利和平衡土壤 pH 值是防止并逆转耕地质量劣化和保持农田高质量、高产出的重要实施方案.此外建立耕地保护区,防范耕地非农化也有助于耕地质量的稳固和提升.
Keyword ：
GIS GIS Moran’s I Moran’s I 时空扫描 时空扫描 耕地保护 耕地保护 耕地质量 耕地质量
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| GB/T 7714 | 邱达勇 , 范协裕 , 蒋雪容 et al. 基于时空扫描统计的耕地质量等级变化监测 [J]. | 水土保持通报 , 2023 , 43 (5) : 128-140,147 . |
| MLA | 邱达勇 et al. "基于时空扫描统计的耕地质量等级变化监测" . | 水土保持通报 43 . 5 (2023) : 128-140,147 . |
| APA | 邱达勇 , 范协裕 , 蒋雪容 , 陈瀚阅 , 张黎明 , 邢世和 et al. 基于时空扫描统计的耕地质量等级变化监测 . | 水土保持通报 , 2023 , 43 (5) , 128-140,147 . |
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[目的]分析福建省闽侯县多年耕地质量等级的时空变化及布局，为东南丘陵区复杂地貌地带耕地质量的时空格局演变研究提供新思路与新助力。[方法]将时空统计扫描法引入多时序耕地质量监测中，结合传统空间分析方法，对县域耕地质量的连续变化趋势及空间分布进行研究。进一步地，将引入时空扫描模型产生的试验结果与运用传统空间自相关分析法中的局部自相关模型的试验结果进行比对。[结果](1)在挖掘高值的聚类特征上，时空扫描模型优于局部自相关模型；(2)2018—2019年闽侯县耕地质量等级在变化幅度和空间分布广度上均大于2019—2020年的耕地质量等级变化与分布状况；(3)2018—2020年闽侯县整体的耕地质量逐年稳定并呈现上升趋势。(4)根据闽侯县耕地质量的时空格局变异情况将耕地划分为高级优质提升区、低级优质提升区、首要重点整治区、次要重点整治区、适度改良区5个区。[结论]补足养分因子、兴建水利和平衡土壤pH值是防止并逆转耕地质量劣化和保持农田高质量、高产出的重要实施方案。此外建立耕地保护区，防范耕地非农化也有助于耕地质量的稳固和提升。
Keyword ：
GIS GIS Moran’s I Moran’s I 时空扫描 时空扫描 耕地保护 耕地保护 耕地质量 耕地质量
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| GB/T 7714 | 邱达勇 , 范协裕 , 蒋雪容 et al. 基于时空扫描统计的耕地质量等级变化监测——以福建省闽侯县为例 [J]. | 水土保持通报 , 2023 , 43 (05) : 128-140,147 . |
| MLA | 邱达勇 et al. "基于时空扫描统计的耕地质量等级变化监测——以福建省闽侯县为例" . | 水土保持通报 43 . 05 (2023) : 128-140,147 . |
| APA | 邱达勇 , 范协裕 , 蒋雪容 , 陈瀚阅 , 张黎明 , 邢世和 et al. 基于时空扫描统计的耕地质量等级变化监测——以福建省闽侯县为例 . | 水土保持通报 , 2023 , 43 (05) , 128-140,147 . |
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明确不同秸秆还田量对土壤“碳汇”的贡献大小是合理制定农业碳中和措施的基础。以我国典型亚热带地区——福建省水田土壤为研究对象，基于2016年15833个土壤样点实测数据和目前该地区最详细的1︰5万大比例尺土壤数据库，运用农业生态系统中广泛使用的DNDC(DeNitrification and DeComposition)模型模拟了不同秸秆还田率下全省未来的土壤有机碳动态变化。结果表明，2017—2053年传统管理（15%）以及秸秆还田30%、50%和90%下水田土壤的年均固碳速率分别为173、302、478和838 kg·hm~(-2)，固碳总量分别为11.56、20.15、31.90和55.95 Tg。从土壤亚类来看，咸酸和盐渍水稻土的年均固碳速率最大，不同秸秆还田率下介于220～920kg·hm~(-2)·a~(-1)之间；而渗育和潴育水稻土的固碳量最大，不同秸秆还田率下合计介于9.45～45.52 Tg之间，约占研究区总固碳量的81%。从行政区来看，龙岩、泉州两个地级市的固碳速率和总量均最大，不同秸秆还田率下均分别在202～937 kg·hm~(-2)·a~(-1)和1.55～8.34 Tg之间。总体而言，福建省水稻土亚类和行政区在不同秸秆还田率下的固碳潜力差异很大，应有针对性制定“固碳减排”管理措施。
Keyword ：
1︰5万数据库 1︰5万数据库 DNDC(DeNitrification and DeComposition)模型 DNDC(DeNitrification and DeComposition)模型 土壤有机碳 土壤有机碳 水田 水田 秸秆还田 秸秆还田
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| GB/T 7714 | 罗玉叶 , 邱龙霞 , 龙军 et al. 不同秸秆还田率情境下亚热带水田土壤的“碳汇”贡献模拟研究 [J]. | 土壤学报 , 2023 , 60 (05) : 1442-1455 . |
| MLA | 罗玉叶 et al. "不同秸秆还田率情境下亚热带水田土壤的“碳汇”贡献模拟研究" . | 土壤学报 60 . 05 (2023) : 1442-1455 . |
| APA | 罗玉叶 , 邱龙霞 , 龙军 , 陈瀚阅 , 毋亭 , 李晶 et al. 不同秸秆还田率情境下亚热带水田土壤的“碳汇”贡献模拟研究 . | 土壤学报 , 2023 , 60 (05) , 1442-1455 . |
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Abstract ：
There is still an incomplete comprehension of the synergistic effects of two common meteorological, temperature (T) and precipitation (P), on soil organic carbon (SOC) stocks. The DeNitrification-DeComposition (DNDC) model is a process-based model for carbon (C) and nitrogen biogeochemistry in agricultural ecosystems and has been well validated. In this study, the DNDC model was applied to explore the synergistic contribution of T and P to SOC changes in paddy soils for 37 years on the southeast coast of China, Fujian Province, using the soil database with high-resolution at 1:50,000. We have found that the total SOC changes decreased by 11.59% (10.22 Tg C), and 19.72% (9.28 Tg C) from 2017 to 2053 under scenarios where T increases 2°C and P simultaneously increases and decreases by 20%, respectively, compared to the C sequestered in paddy soils under conventional management scenario with 11.56 Tg C. Results also indicated that the SOC changes in paddy soils along Fujian's southeast coast (e.g. Putian and Quanzhou) are more dramatic than those in inland northwest regions (e.g. Nanping and Sanming). Furthermore, as T increases, the C sequestration capacity of paddy soils declines steadily but becomes more sensitive to changes in P. Specifically, combining warming with P decrease accelerated SOC loss, but increased P might mitigate slightly the SOC loss induced by warming. However, paddy fields always had a long-term role in absorbing atmospheric CO2 under all scenarios in our study. Moreover, SOC changes within different paddy soil groups respond differently to P and T combined effects or applied separately. It is hoped that this study will contribute to a better understanding of soil carbon sequestration and help policymakers identify alternative scenarios for mitigating climate change and promoting a carbon-neutral sustainable development in China. © 2023, The Authors. All rights reserved.
Keyword ：
Climate change Climate change Ecosystems Ecosystems Organic carbon Organic carbon Soils Soils Uncertainty analysis Uncertainty analysis
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| GB/T 7714 | Li, Jing , Che, Yan , Xing, Shihe et al. Modeling Soil Organic Carbon Changes Under Multiple Meteorological Uncertainty Scenarios Using Dndc Model in Paddy Soils Along the Southeast Coast of China [J]. | SSRN , 2023 . |
| MLA | Li, Jing et al. "Modeling Soil Organic Carbon Changes Under Multiple Meteorological Uncertainty Scenarios Using Dndc Model in Paddy Soils Along the Southeast Coast of China" . | SSRN (2023) . |
| APA | Li, Jing , Che, Yan , Xing, Shihe , Zeng, Raymond Jianxiong , Liu, Licheng , Chen, Hanyue et al. Modeling Soil Organic Carbon Changes Under Multiple Meteorological Uncertainty Scenarios Using Dndc Model in Paddy Soils Along the Southeast Coast of China . | SSRN , 2023 . |
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Human activities significantly affect the amount and spatial variation of top Soil Organic Carbon (SOC) in croplands. However, the spatial distribution of agricultural management practices has not been carefully considered in SOC mapping in croplands, especially for croplands in large-scale complex landforms. A case study was conducted in agricultural area in western Fujian Province. Sentinel-2/MSI NDVI time series data were used to derive two types of variables that contains crop rotation information. One is the Crop Rotation (CR) pattern type, which was regarded as qualitative factors of agricultural activities. The other are variables generated using Harmonic Analysis based on sentinel-2 NDVI time series data (HANTS), which were regarded as quantitative factors of agricultural activities. Two types of agricultural activities factors, as well as natural environmental variables were adopted as predictive environmental variables. Four different combinations of above variables according to different categories were formed respectively (i.e., climate factor + terrain factor, climate factor + terrain factor + crop rotation pattern, climate factor + terrain factor + HANTS variables, and climate factor + terrain factor + crop rotation pattern + HANTS variables). Random Forest (RF) models were developed based on four different combinations of above variables for predicting SOC. These RF models were compared to explore whether incorporating agricultural activity factors could improve the SOC mapping accuracy in croplands. Results showed that the combination of natural environment variables with both crop rotation type and variables derived through HANTS yielded the highest accuracy. Compared with the combination of natural environment variables, the prediction accuracy of the optimal model was significantly improved (R2 increased by 89.47%, RMSE and MAE decreased by 10.66% and 12.05%, respectively). Two types of agricultural activity factors were both adopted in optimal model, especially CR significantly affected the SOC in croplands, ranking fourth in the importance of environmental variables of the optimal model. In all RF models, annual rainfall (Rainfall) ranked first in the importance of environmental variables. This indicated that climate factors play a dominant role in soil organic carbon digital soil mapping. The SOC content in croplands of the region predicted from the optimal model was (18.22±2.99) g/kg on average and varied in the range of 8.25~30.69 g/kg. The SOC content in double cropping rice and tobacco-rice planting area were higher than that in rice-vegetable planting area. The results provide a new vision for updating the environmental variables of SOC mapping in complex landform areas. © 2022, Science Press. All right reserved.
Keyword ：
Crop rotation Crop rotation Decision trees Decision trees Forecasting Forecasting Harmonic analysis Harmonic analysis Landforms Landforms Mapping Mapping Organic carbon Organic carbon Rain Rain Rotation Rotation Soils Soils Time series Time series Time series analysis Time series analysis
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| GB/T 7714 | Nie, Xiangqin , Chen, Hanyue , Niu, Zheng et al. Digital SOC Mapping in Croplands Using Agricultural Activity Factors Derived from Time-Series Data in Western Fujian [J]. | Journal of Geo-Information Science , 2022 , 24 (9) : 1835-1852 . |
| MLA | Nie, Xiangqin et al. "Digital SOC Mapping in Croplands Using Agricultural Activity Factors Derived from Time-Series Data in Western Fujian" . | Journal of Geo-Information Science 24 . 9 (2022) : 1835-1852 . |
| APA | Nie, Xiangqin , Chen, Hanyue , Niu, Zheng , Zhang, Liming , Liu, Wei , Xing, Shihe et al. Digital SOC Mapping in Croplands Using Agricultural Activity Factors Derived from Time-Series Data in Western Fujian . | Journal of Geo-Information Science , 2022 , 24 (9) , 1835-1852 . |
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人类活动对表层耕地土壤有机碳（Soil Organic Carbon, SOC）影响强烈，但目前大范围复杂地貌地形区的耕地SOC数字制图对人为因素的空间刻画不足。本文以福建省西部耕地为研究对象，基于Sentinel-2/MSI时间序列数据提取轮作模式分类信息（Crop Rotation, CR），以及可反映轮作模式信息的植被特征变换变量（Harmonic Analysis of Time Series, HANTS），分别作为农业活动定性和定量因子，将常规气候和地形因子作为自然环境因子，并对不同类型环境变量进行组合（气候+地形、气候+地形+轮作模式、气候+地形+HANTS变量、气候+地形+轮作模式+HANTS变量）。基于随机森林模型（Random Forest, RF）对不同环境变量组合驱动的耕地表层SOC空间预测精度进行对比分析，探索以轮作模式为例的农业活动因子提高耕地表层SOC数字制图精度的可能性。结果表明，同时加入两种农业活动因子的RF模型表现最佳，其模型预测精度相较于纯自然环境变量驱动的模型有明显提高（R~2提高了89.47%,RMSE和MAE分别下降了10.66%和12.05%）。轮作模式类型（CR）和HANTS变量两种农业活动因子均被保留参与建模，尤其是轮作模式类型显著影响耕地SOC，在最佳模型的环境变量重要性中排序第四。由此可见，轮作模式相关农业活动因子可有效提高耕地SOC空间预测精度。在所有RF模型中，年降水量（Annual Rainfall, Rainfall）的重要性排名都是第一位。通过最佳模型反演得出该区耕地土壤有机碳均值为18.22±2.99 g/kg，范围为8.25～30.69 g/kg，双季稻和烟稻种植区域SOC含量高于稻菜种植区域。研究结果为复杂地貌地形区耕地土壤有机碳协同变量的更新提供了新的思路。
Keyword ：
HANTS HANTS Sentinel-2 Sentinel-2 农业活动因子 农业活动因子 变量组合 变量组合 土壤有机碳 土壤有机碳 空间预测 空间预测 轮作模式 轮作模式 随机森林 随机森林
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| GB/T 7714 | 聂祥琴 , 陈瀚阅 , 牛铮 et al. 基于时序影像的农业活动因子提取与闽西耕地SOC数字制图 [J]. | 地球信息科学学报 , 2022 , 24 (09) : 1835-1852 . |
| MLA | 聂祥琴 et al. "基于时序影像的农业活动因子提取与闽西耕地SOC数字制图" . | 地球信息科学学报 24 . 09 (2022) : 1835-1852 . |
| APA | 聂祥琴 , 陈瀚阅 , 牛铮 , 张黎明 , 刘炜 , 邢世和 et al. 基于时序影像的农业活动因子提取与闽西耕地SOC数字制图 . | 地球信息科学学报 , 2022 , 24 (09) , 1835-1852 . |
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