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Non-intrusive soil carbon content quantification methods using machine learning algorithms:A comparison of microwave and millimeter wave radar sensors
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作者 Di An YangQuan Chen 《Journal of Automation and Intelligence》 2023年第3期152-166,共15页
Agricultural and forestry biomass can be converted to biochar through pyrolysis gasification,making it a significant carbon source for soil.Applying biochar to soil is a carbon-negative process that helps combat clima... Agricultural and forestry biomass can be converted to biochar through pyrolysis gasification,making it a significant carbon source for soil.Applying biochar to soil is a carbon-negative process that helps combat climate change,sustain soil biodiversity,and regulate water cycling.However,quantifying soil carbon content conventionally is time-consuming,labor-intensive,imprecise,and expensive,making it difficult to accurately measure in-field soil carbon’s effect on storage water and nutrients.To address this challenge,this paper for the first time,reports on extensive lab tests demonstrating non-intrusive methods for sensing soil carbon and related smart biochar applications,such as differentiating between biochar types from various biomass feedstock species,monitoring soil moisture,and biochar water retention capacity using portable microwave and millimeter wave sensors,and machine learning.These methods can be scaled up by deploying the sensor in-field on a mobility platform,either ground or aerial.The paper provides details on the materials,methods,machine learning workflow,and results of our investigations.The significance of this work lays the foundation for assessing carbon-negative technology applications,such as soil carbon content accounting.We validated our quantification method using supervised machine learning algorithms by collecting real soil mixed with known biochar contents in the field.The results show that the millimeter wave sensor achieves high sensing accuracy(up to 100%)with proper classifiers selected and outperforms the microwave sensor by approximately 10%–15%accuracy in sensing soil carbon content. 展开更多
关键词 soil carbon content sensing carbon sequestration Microwave radar Millimeter wave radar Proximal sensing Machine learning
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Evaluation of Soil Organic Carbon and Soil Moisture Content from Agricultural Fields in Mississippi 被引量:1
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作者 Prem B. Parajuli Sarah Duffy 《Open Journal of Soil Science》 2013年第2期81-90,共10页
Independent observation of the effects of agricultural management practices on soil organic carbon (SOC) with soil moisture content (SMC) is essential to quantify their potential relationships for sustainable ecosyste... Independent observation of the effects of agricultural management practices on soil organic carbon (SOC) with soil moisture content (SMC) is essential to quantify their potential relationships for sustainable ecosystems. Soil water retention studies and soil carbon stocks have been mapped in some areas worldwide. However, few studies have been conducted in the southeastern US, particularly in Mississippi. The objectives of this research study were to collect soil samples from fields chosen to be representative of the watersheds they are contained within, analyze the soil samples for carbon content and soil moisture content, and evaluate the relationship between SOC and different parameters (land use, vertical distribution, temporal distribution, and soil moisture content). Field sites were chosen based on their compositional similarity shared with the watershed as a whole in the Town Creek watershed (TCW) and Upper Pearl River watershed (UPRW) in Mississippi. Monthly soil samples from different depths (6 inch, 12 inch, and 24 inch) were collected from crop, pasture, and forest field areas. Soil samples were analyzed using bench analysis, elemental analysis, and statistical analysis. This study was able to demonstrate the SOC distribution in the soil layers across all three land uses studied. It was also shown that there does seem to be an interactive effect of parameters such as land use type, vertical distribution, and time on carbon accretion within the soil. Results of this study also determined that the near surface (6-in) layer was found to contain significantly more carbon than either the 12 inch or 24 inch layers (p 0.01) across all field types. There was found to be a high degree of variability within the soil moisture data and correlation between SOC and SMC. It was found that carbon amount is not influenced by SMC but SMC could be influenced by SOC. 展开更多
关键词 soil Organic carbon soil MOISTURE content CROPLAND Land USES
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A distributed measurement method for in-situ soil moisture content by using carbon-fiber heated cable 被引量:13
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作者 Dingfeng Cao Bin Shi +3 位作者 Honghu Zhu Guangqing Wei Shen-En Chen Junfan Yan 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2015年第6期700-707,共8页
Moisture content is a fundamental physical index that quantifies soil property and is closely associatedwith the hydrological, ecological and engineering behaviors of soil. To measure in-situ soil moisturecontents, a ... Moisture content is a fundamental physical index that quantifies soil property and is closely associatedwith the hydrological, ecological and engineering behaviors of soil. To measure in-situ soil moisturecontents, a distributed measurement system for in-situ soil moisture content (SM-DTS) is introduced.The system is based on carbon-fiber heated cable (CFHC) technology that has been developed to enhancethe measuring accuracy of in-situ soil moisture content. Using CFHC technique, a temperature characteristicvalue (Tt) can be defined from temperatureetime curves. A relationship among Tt, soil thermalimpedance coefficient and soil moisture content is then established in laboratory. The feasibility of theSM-DTS technology to provide distributed measurements of in-situ soil moisture content is verifiedthrough field tests. The research reported herein indicates that the proposed SM-DTS is capable ofmeasuring in-situ soil moisture content over long distances and large areas. 展开更多
关键词 In-situ soil moisture content Distributed measurement carbon-fiber heated cable (CFHC) Fiber-optic sensing
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Factors Acquisition and Content Estimation of Farmland Soil Organic Carbon Based upon Internet of Things 被引量:1
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作者 WU Qiulan LIANG Yong +3 位作者 LI Ying WANG Xizhi YANG Lei WANG Xiaotong 《Chinese Geographical Science》 SCIE CSCD 2017年第3期431-440,共10页
Aiming at the shortage of sufficient continuous parameters for using models to estimate farmland soil organic carbon(SOC) content, an acquisition method of factors influencing farmland SOC and an estimation method of ... Aiming at the shortage of sufficient continuous parameters for using models to estimate farmland soil organic carbon(SOC) content, an acquisition method of factors influencing farmland SOC and an estimation method of farmland SOC content with Internet of Things(IOT) are proposed in this paper. The IOT sensing device and transmission network were established in a wheat demonstration base in Yanzhou Distict of Jining City, Shandong Province, China to acquire data in real time. Using real-time data and statistics data, the dynamic changes of SOC content between October 2012 and June 2015 was simulated in the experimental area with SOC dynamic simulation model. In order to verify the estimation results, potassium dichromate external heating method was applied for measuring the SOC content. The results show that: 1) The estimated value matches the measured value in the lab very well. So the method is feasible in this paper. 2) There is a clear dynamic variation in the SOC content at 0.2 m soil depth in different growing periods of wheat. The content reached the highest level during the sowing period, and is lowest in the flowering period. 3) The SOC content at 0.2 m soil depth varies in accordance with the amount of returned straw. The larger the amount of returned straw is, the higher the SOC content. 展开更多
关键词 土壤有机碳 估算模型 农田土壤 物联网 有机碳含量 实时数据采集 动态模拟模型 因子
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Soil carbon pool in China and its global significance 被引量:46
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作者 Fang Jingyun, Liu Guohua, Xu Songling(Research Center for Eco-Environmental Science, ChineseAcademy of Sciences, Beijing 100085, China) 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 1996年第2期249-254,共6页
Soil organic carbon density and its related characteristics of 41 soil types all over China were analyzed by using data of 745 soil profiles , and size of soil carbon pool was estimated. As a result, area-weighted ave... Soil organic carbon density and its related characteristics of 41 soil types all over China were analyzed by using data of 745 soil profiles , and size of soil carbon pool was estimated. As a result, area-weighted averages of these 41 soil types for bulk density, profile depth, organic carbon content and profile carbon were 1. 24 tC/m3, 86. 2 cm, 3. 04% and 19. 7 kg C/m2 respectively. Total size of soil carbon pool was 185. 68 × 1009tC, which is 29 times of that in terrestrial biomass of China and 12. 6% of global soil carbon pools. Because of its huge carbon pool, soil of China plays an important role in global carbon cycle. 展开更多
关键词 China global climate change soil carbon content soil carbon pool soil type.
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Effects of Vegetation Restoration on Soil Organic Carbon in China:A Meta-analysis 被引量:5
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作者 GONG Li LIU Guohua +3 位作者 WANG Meng YE Xin WANG Hao LI Zongshan 《Chinese Geographical Science》 SCIE CSCD 2017年第2期188-200,共13页
Vegetation restoration has been proposed as an effective method for increasing both plant biomass and soil carbon(C) stocks. In this study, 204 publications(733 observations) were analyzed, focusing on the effects of ... Vegetation restoration has been proposed as an effective method for increasing both plant biomass and soil carbon(C) stocks. In this study, 204 publications(733 observations) were analyzed, focusing on the effects of vegetation restoration on soil organic carbon(SOC) in China. The results showed that SOC was increased by 45.33%, 24.43%, 30.29% and 27.98% at soil depths of 0–20 cm, 20–40 cm, 40–60 cm and > 60 cm after vegetation restoration, respectively. Restoration from both cropland and non-cropland increased the SOC content. The conversion of non-cropland was more efficient in SOC accumulation than the conversion of cropland did, especially in > 40 cm layers. In addition, the conversion to planted forest led to greater SOC accumulation than that to other land use did. Conversion period and initial SOC content extended more influence on soil C accumulation as the main factors after vegetation restoration than temperature and precipitation did. The SOC content significantly increased with restoration period after long-term vegetation restoration(> 40 yr), indicating a large potential for further accumulation of carbon in the soil, which could mitigate climate change in the near future. 展开更多
关键词 玷污碳内容 植被恢复 陆地使用变化 变换时期 恢复途径 中国
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Film-mulched continuous ridge-furrow planting improves soil temperature,nutrient content and enzymatic activity in a winter oilseed rape field,Northwest China 被引量:5
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作者 GU Xiaobo LI Yuannong DU Yadan 《Journal of Arid Land》 SCIE CSCD 2018年第3期362-374,共13页
Film mulching system is a widely employed agricultural practice worldwide. However, the effects of different planting and mulching patterns on soil nutrient content and enzymatic activity have not been well documented... Film mulching system is a widely employed agricultural practice worldwide. However, the effects of different planting and mulching patterns on soil nutrient content and enzymatic activity have not been well documented. In this study, we examined the impact of four planting and mulching patterns(including control, flat planting without mulching; M1, flat planting with film mulching; M2, ridge-furrow planting with film mulching on both ridges and furrows; and M3, ridge-furrow planting with film mulching on continuous ridges) on the seed yield of winter oilseed rape, soil moisture, soil temperature, soil organic carbon(SOC) content, soil nutrient content, and soil enzymatic activity over three growing seasons from 2012 to 2015 in a winter oilseed rape field in the semi-arid area of Northwest China. Seed yield of winter oilseed rape, soil moisture, soil temperature, enzymatic activities, and contents of nitrate-nitrogen, available phosphorus, and available potassium were all significantly higher in mulching treatments(M1, M2 and M3) than in control treatment over the three growing seasons, whereas SOC content was significantly lower in mulching treatments than in control treatment during 2013–2014 and 2014–2015. Among the three mulching treatments(M1, M2 and M3), the M3 treatment showed consistently higher seed yield, SOC content, nutrient contents, and enzymatic activities than the other two treatments. Seed yield of winter oilseed rape was 41.1% and 15.0% higher in M3 than in M1 and M2, respectively. SOC content and soil enzymatic activities in the top 0–20 cm soil layers and nitrate-nitrogen content in the top 0–30 cm soil layers were all significantly higher in M3 than in M1 and M2. Therefore, we advise the ridge-furrow planting with film mulching on continuous ridges(i.e., M3) as an efficient planting and mulching pattern for sustainably improving the seed yield of winter oilseed rape and preserving soil fertility in the semi-arid area of Northwest China. 展开更多
关键词 film mulching soil temperature soil organic carbon soil nutrient content soil enzymatic activity winteroilseed rape Northwest China
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Performance evaluation of two types of heated cables for distributedtemperature sensing-based measurement of soil moisture content 被引量:7
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作者 Dingfeng Cao Bin Shi +3 位作者 Honghu Zhu Kun Zhu Guangqing Wei Kai Gu 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2016年第2期212-217,共6页
Distributed temperature sensing(DTS)using heated cables has been recently developed for distributed monitoring of in-situ soil moisture content.In this method,the thermal and electrical properties of heated cables hav... Distributed temperature sensing(DTS)using heated cables has been recently developed for distributed monitoring of in-situ soil moisture content.In this method,the thermal and electrical properties of heated cables have a significant influence on the measurement accuracy of soil moisture content.In this paper,the performances of two heated cables,i.e.the carbon-fiber heated cable(CFHC)and the metalnet heated cable(MNHC),are studied in the laboratory.Their structures,uniformity in the axial direction,measurement accuracy and suitability are evaluated.The test results indicate that the MNHC has a better uniformity in the axial direction than CFHC.Both CFHC and MNHC have high measurement accuracy.The CFHC is more suitable for short-distance measurement(500 m),while the MNHC can be used for longdistance measurement(>500 m). 展开更多
关键词 soil moisture content carbon-fiber heated cable(CFHC) Metal-net heated cable(MNHC) Distributed measurement Optical fiber
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Influence of Rare Earth Elements on Microbial Biomass Carbon in Red Soils
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作者 杨元根 刘丛强 +1 位作者 袁可能 何振立 《Journal of Rare Earths》 SCIE EI CAS CSCD 1999年第3期238-238,共1页
关键词 rare earths soil organic carbon contents
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不同水分条件下氨基酸添加对温带暗棕壤碳氮含量和甲烷排放的影响
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作者 李颖 郭亚芬 崔晓阳 《北京林业大学学报》 CAS CSCD 北大核心 2024年第5期103-113,共11页
【目的】解析土壤pH值与土壤氮以及CH_(4)排放速率与土壤碳氮含量间的相互关系,为明确碳氮转化及温室气体排放规律、优化温带森林暗棕壤的水分管理提供依据。【方法】以温带森林暗棕壤为研究对象,采用室内培养法,设置水分条件为土壤饱... 【目的】解析土壤pH值与土壤氮以及CH_(4)排放速率与土壤碳氮含量间的相互关系,为明确碳氮转化及温室气体排放规律、优化温带森林暗棕壤的水分管理提供依据。【方法】以温带森林暗棕壤为研究对象,采用室内培养法,设置水分条件为土壤饱和持水量(WHC)的40%、60%、90%,通过向温带暗棕壤中添加两种不同性质的氨基酸,探讨其对土壤碳氮含量及CH_(4)排放的潜在影响,运用Pearson相关分析法分析土壤碳氮含量、pH值及CH_(4)排放速率间的相关性。【结果】(1)氨基酸处理显著增加了土壤可溶性有机碳(DOC)含量、铵态氮(NH_(4)^(+)-N)含量及CH_(4)排放速率。亮氨酸处理使DOC、NH_(4)^(+)-N含量分别升高21.39%、45.10%,CH_(4)排放速率较CK升高3.20倍,甲硫氨基酸使DOC、NH_(4)^(+)-N含量分别升高21.39%、72.71%,CH_(4)排放速率较CK升高7.00倍;(2)不同氨基酸对土壤硝态氮(NO_(3)^(-)-N)含量的影响存在差异。亮氨酸处理使土壤NO_(3)^(-)-N含量升高了8.41%,但其对于土壤硝化作用的影响可能存在滞后性,而甲硫氨基酸能够显著抑制土壤硝化作用,NO_(3)^(-)-N含量显著降低了37.90%;(3)土壤不同水分条件对土壤DOC、NH_(4)^(+)-N、NO_(3)^(-)-N含量及CH_(4)排放速率均存在显著影响。90%WHC使DOC含量升高11.95%~19.91%,使NH_(4)^(+)-N升高19.83%~35.46%,使NO_(3)^(-)-N降低10.05%~23.79%,使CH_(4)排放速率升高至另外两种水分条件的1.48~2.06倍。60%WHC条件使NH_(4)^(+)-N升高13.05%,使NO_(3)^(-)-N含量升高24.62%。60%WHC可能是温带暗棕壤硝化作用的最适含水量,90%WHC条件有利于DOC积累,同时对NO_(3)^(-)-N的产生存在明显抑制作用;(4)土壤pH与N H4+-N含量呈极显著正相关,与NO_(3)^(-)-N含量呈正相关。CH_(4)排放速率与NO_(3)^(-)-N含量呈极显著负相关,与NH_(4)^(+)-N含量呈负相关,与DOC含量呈极显著正相关。【结论】不同性质氨基酸添加在温带森林暗棕壤碳氮含量及CH_(4)排放中发挥的作用不尽相同。一定范围内,土壤水分含量的升高有利于土壤NH_(4)^(+)-N、NO_(3)^(-)-N、DOC的积累及CH_(4)的排放,但土壤高含水量条件对NO_(3)^(-)-N的产生具有抑制作用。因此,在研究温带森林暗棕壤碳含量、CH_(4)排放及氮转化机制时,建议关注不同氨基酸的差异性作用,同时考虑水分的变化。 展开更多
关键词 土壤水分 氨基酸态氮 碳氮含量 甲烷 温带暗棕壤
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夏闲期耕作下旱地土壤有机碳库与温度和含水量季节变化及关系研究
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作者 薛建福 濮超 +1 位作者 祁泽伟 高志强 《核农学报》 CAS CSCD 北大核心 2024年第1期190-199,共10页
为明确夏闲期耕作下土壤有机碳(SOC)库与温度和含水量的季节变化及其相互关系,设置夏闲期免耕、翻耕和深松3种耕作处理,分析了黄土高原旱地麦田SOC和易氧化有机碳(POxC)含量的季节变化、土壤含水量和温度的季节变化、以及碳库与温度和... 为明确夏闲期耕作下土壤有机碳(SOC)库与温度和含水量的季节变化及其相互关系,设置夏闲期免耕、翻耕和深松3种耕作处理,分析了黄土高原旱地麦田SOC和易氧化有机碳(POxC)含量的季节变化、土壤含水量和温度的季节变化、以及碳库与温度和含水量变化的关系。结果表明,在冬小麦生育期内,随着生育进程的推进,翻耕和深松处理0~5和5~10 cm土层SOC含量呈先升高后降低的变化趋势,而POxC含量呈“降低—升高—再降低”的变化趋势;土壤质量含水量变化均呈“增加—降低—再增加”的变化趋势,而土壤温度呈先降低后升高的变化趋势。回归分析发现,5~10 cm土层土壤质量含水量与SOC含量呈线性关系(P<0.05),与POxC含量呈二次多项式关系(P<0.05),尤其与免耕和深松处理相比,翻耕处理拟合效果更佳。此外,0~5和5~10 cm土层土壤温度变化与SOC含量无显著相关性,而日最高温度、日平均温度和日最低温度与POxC含量呈显著负相关。综上所述,不同夏闲期耕作下旱地麦田0~10 cm土层POxC含量季节变化与土壤质量含水量和温度变化密切相关,而SOC含量变化对土壤温度变化的敏感性较弱。本研究结果为旱地麦田碳库管理提供了理论依据。 展开更多
关键词 夏闲期耕作 旱地小麦 土壤有机碳库 土壤温度 土壤含水量
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短期降水减少对海南橡胶林土壤有机碳矿化及有机碳组分的影响
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作者 孙玉娟 钟丽爽 +1 位作者 杨小波 张翔 《热带生物学报》 2024年第3期272-280,共9页
为了探究短期降水减少对不同土层有机碳矿化速率及其碳组分变化的影响,以海南典型人工林类型橡胶林土壤为研究对象,通过搭建野外隔离穿透雨控制平台,并结合室内恒温培养实验,测定了不同降水条件下土壤有机碳矿化速率及有机碳组分等参数... 为了探究短期降水减少对不同土层有机碳矿化速率及其碳组分变化的影响,以海南典型人工林类型橡胶林土壤为研究对象,通过搭建野外隔离穿透雨控制平台,并结合室内恒温培养实验,测定了不同降水条件下土壤有机碳矿化速率及有机碳组分等参数。结果表明:短期降水减少导致0~10 cm土层中SOC累积矿化量、矿化率及微生物代谢熵(qCO_(2))显著降低;土壤易氧化有机碳(EOC)、微生物生物量碳(MBC)及惰性有机碳(NEOC)的含量均随土壤含水量的降低而降低,但仅对0~10 cm土层的EOC影响显著;相关分析表明,土壤SOC累积矿化量及SOC矿化率均与土壤碳氮含量(SOC、TN)、各碳组分含量(EOC、MBC、NEOC)、qCO_(2)呈显著正相关。总之,短期降水减少会抑制橡胶林土壤SOC的矿化,这一变化可能与不同水分条件下土壤基质供应的有效性及微生物代谢的变化有密切关系。 展开更多
关键词 橡胶林 土壤含水量 土壤有机碳组分 微生物代谢熵
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基于机器学习算法的华中天然林土壤有机碳特征与关键影响因子
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作者 沈琛琛 肖文发 +3 位作者 朱建华 曾立雄 陈吉臻 黄志霖 《林业科学》 EI CAS CSCD 北大核心 2024年第3期65-77,共13页
【目的】比较4种机器学习算法在模拟华中地区3种典型天然林土壤有机碳含量上的表现,筛选最优模型算法,明确影响该地区天然混交林土壤有机碳富集与空间分布的关键气候环境因子,为森林土壤有机碳分布格局研究提供技术参考。【方法】以华... 【目的】比较4种机器学习算法在模拟华中地区3种典型天然林土壤有机碳含量上的表现,筛选最优模型算法,明确影响该地区天然混交林土壤有机碳富集与空间分布的关键气候环境因子,为森林土壤有机碳分布格局研究提供技术参考。【方法】以华中地区3种典型天然林(常绿针叶混交林、落叶阔叶混交林和常绿阔叶混交林)为研究对象,引入4种机器学习算法(支持向量机、人工神经网络中的多层感知器、随机森林和分位数回归森林),模拟0~60 cm土层土壤有机碳含量,比较模型解释量及表现稳定性,筛选最优模型算法。【结果】4种机器学习算法均能成功模拟天然林0~60 cm土层土壤有机碳含量,多层感知器、随机森林、分位数回归森林模拟结果明显优于支持向量机,其中随机森林模型表现最稳定,决定系数最高达0.620。母质、土壤密度、孔隙度、地理位置、海拔、植被和水分亏损情况等共同影响华中地区天然林0~60 cm土层土壤有机碳含量,但显著影响表层(0~20 cm)、中层(20~40 cm)与深层(40~60 cm)土壤有机碳含量的因子并不一致且影响机制不同。在0~20 cm土层,显著影响因子最复杂,除土壤密度以外,土壤孔隙度、地形、植被和气候均产生显著影响(P<0.05);在20~40 cm土层,土壤密度和地理位置依然有显著影响(P<0.05),各因子影响呈现复杂性和过渡性;在40~60 cm土层,成土母质是最重要的影响因子,其次为土壤密度和水分亏损指数,植被的影响下降(P<0.05)。从地理分布上看,0~20 cm表层土壤有机碳含量东南高、西北低,中层和深层土壤有机碳含量表现为西部较高、东部稍低;海拔较高的南部山区土壤有机碳含量更高。蒸发强烈或供给森林的水分不足会限制各层土壤有机碳富集。森林土壤有机碳含量随土层加深显著下降,常绿针叶混交林土壤有机碳含量在各土层均最高,落叶阔叶混交林居中,常绿阔叶混交林最低。【结论】华中地区天然林土壤有机碳含量分布呈现明显差异,常绿针叶混交林土壤有机碳贡献最大,成土母质和土壤物理属性对土壤有机碳富集与分布起决定性作用;适宜天然林生长的地理立地条件和气候环境,共同造就该地区天然林土壤有机碳富集。在营林和管理时可加大本地树种混交比重,提升森林土壤碳汇功能。 展开更多
关键词 森林土壤有机碳 空间分布 天然林 机器学习 华中地区
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宁夏黄土区典型坡面表层土壤有机碳含量的空间变化特征及尺度效应
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作者 韩新生 刘广全 +5 位作者 许浩 董立国 郭永忠 安钰 万海霞 王月玲 《林业科学》 EI CAS CSCD 北大核心 2024年第1期19-31,共13页
【目的】定量认识土壤有机碳(SOC)含量在坡面上的空间异质性及尺度效应,探索“由点及面”估算坡面平均SOC含量的精确便捷途径,为细致刻画坡面土壤资源状况、全面理解生态系统碳循环、制定土壤高质量管理方案提供科学基础。【方法】在宁... 【目的】定量认识土壤有机碳(SOC)含量在坡面上的空间异质性及尺度效应,探索“由点及面”估算坡面平均SOC含量的精确便捷途径,为细致刻画坡面土壤资源状况、全面理解生态系统碳循环、制定土壤高质量管理方案提供科学基础。【方法】在宁夏半干旱黄土丘陵区,选择3个相邻的由退耕还林工程形成的典型坡面,从坡顶向坡脚设置连续样点,调查各样点的土地利用、植被特征、立地条件及表层(0^20 cm)SOC含量,分析其坡向差异、坡位变化;以“离坡顶的水平距离或相对距离”为自变量,以表层SOC含量的顺坡滑动平均值为因变量,定量描述坡面尺度效应;再以坡面上任一样点表层SOC含量与坡面平均值的比值为因变量,实现由“点”到“面”的尺度上推。【结果】研究区表层SOC含量存在明显的坡向差异、坡位变化、尺度效应。表层SOC含量的坡面平均值在南坡(7.60 g·kg^(-1))最高,东坡(6.42 g·kg^(-1))次之,西坡(5.65 g·kg^(-1))最低,其坡位间变幅在东坡(15.95 g·kg^(-1))最大,其次为西坡(11.34 g·kg^(-1)),最小为南坡(9.72 g·kg^(-1)),说明东坡的坡面效应最强,其次为西坡,南坡最弱。东坡、西坡、南坡表层SOC含量的坡位变化大致相同,均由坡顶向下逐渐减小,至离坡顶水平距离200、150、280 m(相对距离0.73、0.45、0.76)后趋于稳定,主要与坡面“上部为自然状态的坡地+林草植被+恢复年限长、下部为人工梯田+林农植被+扰动频繁”的空间格局有关。在东坡、西坡、南坡上,距坡顶水平距离每增加100 m,SOC含量的滑动平均值分别变化-3.40、-2.50、-1.51 g·kg^(-1);距坡顶相对距离每增加0.1,SOC含量的滑动平均值分别变化-0.96、-0.75、-0.55 g·kg^(-1)。构建3个坡向不同坡位样点表层SOC含量与坡面平均值的比值随离坡顶水平距离或相对距离增加而变化的数量关系(R^(2)>0.7,P<0.001),籍此可由坡面上任一样点表层SOC含量精确便捷地估算坡面平均值。将所有位点数据融合得出,离坡顶相对距离0.4的位点表层SOC含量最接近坡面平均值。【结论】半干旱黄土丘陵区坡面表层SOC含量沿坡从上至下基本呈先减小后稳定的变化,与土地利用类型、植被类型、恢复年限的坡面分布格局有关。以顺坡(相对)水平坡长增加为尺度变量可较好地定量刻画表层SOC含量的坡面变化特征及尺度效应,藉此可实现坡面表层SOC含量平均值的精确便捷推算。 展开更多
关键词 黄土丘陵区 立地条件 土地利用 土壤有机碳含量 坡面变化 尺度效应
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株行距配置和无性系对杨树人工林碳储量的影响
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作者 刘钰 张艳华 方升佐 《森林与环境学报》 CSCD 北大核心 2024年第3期242-249,共8页
为探究不同株行距配置和无性系对杨树人工林碳储量的影响,采用林木生物量直接收获法对13年生南林-895杨(NL-895)4种株行距配置(6 m×6 m、4.5 m×8.0 m、5 m×5 m、3 m×8 m)、南林-95杨(NL-95)和南林-797杨(NL-797)6 m... 为探究不同株行距配置和无性系对杨树人工林碳储量的影响,采用林木生物量直接收获法对13年生南林-895杨(NL-895)4种株行距配置(6 m×6 m、4.5 m×8.0 m、5 m×5 m、3 m×8 m)、南林-95杨(NL-95)和南林-797杨(NL-797)6 m×6 m株行距配置林分的碳储量进行了研究。结果表明:不同林分单株生物量存在显著差异(P<0.05),以6 m×6 m株行距配置模式的NL-895单株生物量最高(400.96 kg·株^(-1));4种株行距配置的NL-895林分的生物量不存在显著差异,但在6 m×6 m株行距配置林分中,NL-895和NL-95的生物量显著高于NL-797(P<0.05)。杨树人工林各器官的碳含量(质量分数)在39.79%~47.76%之间,表现为树干>树枝>根系>树叶;不同株行距配置林分的林木碳储量变异趋势与林分生物量相似,6 m×6 m株行距配置NL-895林分的林木碳储量最高,3 m×8 m株行距配置的NL-895林分的林木碳储量最低。不同无性系和株行距配置对杨树人工林土壤(0~100 cm)碳储量有一定影响但不显著,其碳储量约占杨树人工林碳储量的71.7%。同一无性系不同株行距配置林分的总碳储量存在显著差异(P<0.05),而同一株行距配置不同无性系林分总碳储量无显著差异。总体来看,6 m×6 m株行距配置的NL-895林分总碳储量最大(192.46 t·hm^(-2)),分别是4.5 m×8.0 m、5 m×5 m、3 m×8 m株行距配置林分的1.17、1.31、1.38倍。综上所述,在江苏省类似的立地条件下,建议选择NL-895、株行距6 m×6 m的均匀配置作为碳汇林营造的经营模式。 展开更多
关键词 杨树 株行距 无性系 生物量 碳含量 土壤碳 碳储量
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水肥调控下土壤碳氮含量、酶活性和三七产量的响应特征研究
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作者 石小兰 脱云飞 +5 位作者 丁明净 刘香凝 王昭仪 刘艳伟 向萍 杨启良 《干旱地区农业研究》 CSCD 北大核心 2024年第1期76-86,共11页
为揭示水肥对三七田土壤碳氮含量、酶活性和产量调控效应,明确三七不同生育时期最适水肥调控模式,于2018—2021年在云南省红河州泸西县三七种植基地开展田间试验,设3个灌水水平(5 mm, W1;10 mm, W2;15 mm, W3)和4个不同生育时期(根增期... 为揭示水肥对三七田土壤碳氮含量、酶活性和产量调控效应,明确三七不同生育时期最适水肥调控模式,于2018—2021年在云南省红河州泸西县三七种植基地开展田间试验,设3个灌水水平(5 mm, W1;10 mm, W2;15 mm, W3)和4个不同生育时期(根增期、苗期、花期、果期)施肥配比水平(25%∶25%∶25%∶25%,F1;20%∶25%∶30%∶25%,F2;15%∶30%∶30%∶25%,F3;10%∶40%∶20%∶30%,F4),以全生育期不灌溉施肥处理为对照(CK),研究不同水肥调控模式对土壤碳氮含量、酶活性、三七产量、总皂苷含量及各指标间相互关系的影响,同时采用CRITIC-VIKOR法对最适水肥调控模式综合评价。结果表明:灌水量和生育时期施肥配比对三七根增期、苗期、花期和果期土壤全氮、有机碳含量和脲酶、酸性磷酸酶、蔗糖酶、过氧化氢酶活性以及产量、总皂苷含量有显著影响(P<0.05),与CK相比,花期W2F3处理土壤全氮含量较其他处理显著提高7.69%~92.50%,W1F1处理土壤有机碳含量较其他处理显著提高5.11%~7.11%;根增期各灌水施肥处理土壤脲酶、蔗糖酶和酸性磷酸酶活性分别平均较CK增加7.20%、19.82%和47.44%,过氧化氢酶活性降低19.16%。与CK相比,收获后水肥调控处理三七水分利用效率平均提高53.83%,肥料偏生产力平均提高66.30%,W2F4处理产量最高(2 797.25 kg·hm^(-2)),W2F3处理总皂苷含量最高(176.34 mg·g^(-1))。综合评分法结果表明,三七根增期W3F1处理Q值为0.03,苗期W2F3处理Q值为0.02,花期W2F3处理的Q值为0.01,果期W3F2处理的Q值为0.02;根增期和果期最佳灌溉施肥方案为W3F1和W3F2,苗期和花期最佳灌溉施肥方案为W2F3。 展开更多
关键词 水肥调控 土壤碳氮含量 土壤酶活性 三七 产量
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福建省漳州市水稻物候特征对稻田土壤有机碳制图的影响
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作者 吴启航 姚园 +5 位作者 李一凡 曹文琦 蔡欣瑶 毋亭 张黎明 邢世和 《土壤学报》 CAS CSCD 北大核心 2024年第2期385-397,共13页
高精度土壤有机碳制图是研究耕地土壤有机碳时空格局及其影响机制的基础,相关研究结果可为农田“固碳减排”措施的制定提供决策支持。农业管理活动是农田土壤有机碳发生变化的重要影响因子,但基于农业管理活动的土壤有机碳制图却较为少... 高精度土壤有机碳制图是研究耕地土壤有机碳时空格局及其影响机制的基础,相关研究结果可为农田“固碳减排”措施的制定提供决策支持。农业管理活动是农田土壤有机碳发生变化的重要影响因子,但基于农业管理活动的土壤有机碳制图却较为少见。基于遥感影像提取的物候参数是农业管理活动的直接反映,在研究农业管理活动对农田土壤有机碳的影响方面有较大应用潜力。基于此,本研究以福建省漳州市水稻田为研究对象,利用随机森林算法,基于5组不同的变量组合(A组:仅自然环境变量;B组:自然环境变量+早稻物候参数:C组:自然环境变量+晚稻物候参数;D组:自然环境变量+早稻物候参数+晚稻物候参数;E组:仅早稻物候参数+晚稻物候参数),分别构建土壤有机碳含量预测模型。通过对比5组模型的预测精度、预测值的空间分布特征和相关影响因子的重要性,分析物候参数对于土壤有机碳制图精度的影响作用,挖掘漳州市水田土壤有机碳制图的主要影响因子,解析对漳州市水田土壤有机碳有重要影响作用的农业管理活动。研究结果表明:物候参数的加入能够降低预测模型的误差和提升模型解释方差的能力;对漳州市水田土壤有机碳影响作用最大的物候参数依次为早稻季的NDVI增长速率(h1)、早稻生长季节开始的时间(a1)与早稻季NDVI下降速率(i1);三个最重要的物候参数与土壤有机碳含量分别呈正相关、负相关和负相关,因此,采取能够促使早稻苗早生快发、加快早稻分蘖速率和减缓早稻衰老速率的水肥管理措施可增加耕地土壤有机碳含量。基于物候参数构建预测模型能有效提高农田土壤有机碳制图精度,基于物候参数的农田土壤有机碳制图研究可为农田管理提供决策支持,此次研究结果可为相关研究提供理论依据。 展开更多
关键词 农田土壤有机碳含量 随机森林 物候参数 农田管理措施 数字土壤制图
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放牧、氮添加对荒漠草原植物和土壤碳氮的影响
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作者 李宏宇 高翠萍 +3 位作者 吕广一 杨昌祥 张春英 王成杰 《草地学报》 CAS CSCD 北大核心 2024年第1期239-247,共9页
为了探究放牧和氮添加对内蒙古荒漠草原植物—土壤碳、氮循环的影响,在禁牧(UG,0只羊单位·hm^(-2))和重度放牧(HG,1.74只羊单位·hm-2)样地进行氮添加处理,各处理水平为:对照(CK,0 g·m^(-2)·a^(-1))、低氮(LN,5 g... 为了探究放牧和氮添加对内蒙古荒漠草原植物—土壤碳、氮循环的影响,在禁牧(UG,0只羊单位·hm^(-2))和重度放牧(HG,1.74只羊单位·hm-2)样地进行氮添加处理,各处理水平为:对照(CK,0 g·m^(-2)·a^(-1))、低氮(LN,5 g·m^(-2)·a^(-1))、中氮(MN,10 g·m^(-2)·a^(-1))和高氮(HN,20 g·m^(-2)·a^(-1))。通过对短花针茅(Stipa breviflora)叶片和土壤全碳(Total carbon, TC)、全氮(Total nitrogen, TN)、稳定碳同位素(Stable carbon isotopes, δ13C)、稳定氮同位素(Stable nitrogen isotopes, δ15N)及土壤有机碳(Soil organic carbon, SOC)、速效氮(Available nitrogen, AN)的测定分析,结果表明:放牧显著增加土壤TC、TN和AN含量(P<0.05);放牧使短花针茅叶片δ13C,δ15N值显著减小(P<0.05);氮添加使短花针茅叶片δ15N值显著减小(P<0.05)。放牧和氮添加在一定程度上均加速了短花针茅和土壤的养分循环,同时氮添加对短花针茅的氮吸收及分馏效应有一定影响,对退化草地恢复起重要作用。 展开更多
关键词 荒漠草原 氮添加 植物和土壤 碳氮含量 稳定同位素
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希拉穆仁荒漠草原围封区植物群落土壤有机碳研究
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作者 魏亚娟 刘美英 +4 位作者 解云虎 高玉寒 刘美萍 悦普庆 刘澜波 《水土保持研究》 CSCD 北大核心 2024年第1期35-43,共9页
[目的]明晰各植物群落土壤有机碳含量,以期为草原保护提供理论依据。[方法]以希拉穆仁荒漠草原围封区6种植物群落(短花针茅、洽草、羊草、克氏针茅、银灰旋花、蒙古韭)为研究对象,对0—30 cm土层各植物群落土壤机械组成、土壤有机碳含... [目的]明晰各植物群落土壤有机碳含量,以期为草原保护提供理论依据。[方法]以希拉穆仁荒漠草原围封区6种植物群落(短花针茅、洽草、羊草、克氏针茅、银灰旋花、蒙古韭)为研究对象,对0—30 cm土层各植物群落土壤机械组成、土壤有机碳含量和根系特征进行研究。[结果](1) 6种植物群落0—30 cm土层土壤机械组成主要以粉粒和极细砂为主,其平均值分别介于26.50%~54.62%和16.90%~34.08%。(2) 6种植物群落根系生物量随土层深度逐渐减小,且根系生物量总量介于229.21~731.71 g/m^(2)。由根系分布特征判断,短花针茅群落各土层根系呈“E”型分布,其他植物群落均呈“V”型分布。(3)各植物群落土壤有机碳含量随土层深度逐渐降低。0—30 cm平均有机碳含量介于6.07~11.75 g/kg。(4)根系生物量、土壤有机碳含量与黏粒含量呈极显著正相关,与粉粒含量呈显著正相关,表明土壤粉粒、黏粒含量越多,植物群落根系生物量和土壤有机碳越丰富。[结论]围封可以有效促使土壤有机碳增加,但有机碳对不同植被群落的响应有所差异,草原有机碳储量准确度应根据草原植被群落特征而定。 展开更多
关键词 植物群落 根系生物量 有机碳 土壤机械组成 围封区 希拉穆仁
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土壤中全硫测定——硫分析仪选择及方法优化
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作者 晋琪 汪洪 《中国土壤与肥料》 CAS CSCD 北大核心 2024年第3期240-246,共7页
全硫含量是土壤调查项目中的必测项目。在燃烧法直接测定固体样品的硫分析仪中,高频红外碳硫仪检测限低,检测速度快,燃烧温度高,测定土壤标准物质的准确度高,是快速测定土壤中全硫的最佳仪器。应用高频红外碳硫仪测定样品过程中,坩埚空... 全硫含量是土壤调查项目中的必测项目。在燃烧法直接测定固体样品的硫分析仪中,高频红外碳硫仪检测限低,检测速度快,燃烧温度高,测定土壤标准物质的准确度高,是快速测定土壤中全硫的最佳仪器。应用高频红外碳硫仪测定样品过程中,坩埚空白、通氧流量、样品称样量、助熔剂添加量、定量方法等均会对测定结果准确度产生影响。通过对上述影响条件进行优化,研究确定了测定土壤中全硫含量的最佳条件:在严格控制坩埚空白的前提下,通氧流量设定为2~3 L/min,依次称取0.1 g样品(精度:0.0001 g)、0.5 g纯铁(精度:0.001 g)和1.0 g钨粒助熔剂(精度:0.001 g)混合后上机分析,对不同浓度样品进行分段校正。值得注意的是,本研究证实了利用化学物质标准品建立工作曲线的可行性,为后期仪器优化和改进提供了宝贵思路。国家土壤标准物质测定结果的相对标准偏差(RSD)小于2%(n=6),测定值与标准值相对误差(RE)的绝对值小于1%(n=6),方法检出限为4.50μg/g,说明方法的准确度和精密度高,适用于低含硫量土壤样品的批量检测。 展开更多
关键词 硫含量 土壤 高频红外碳硫仪 最佳条件
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