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Precipitation events and long-term nitrogen addition synergistically stimulate heterotrophic respiration in a semi-arid meadow steppe 降水事件和长期氮添加协同促进半干旱草甸草原异养呼吸
IF 5.4 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-12-01 DOI: 10.1016/j.catena.2024.108620
Tianhang Zhao , Xu Yang , Rui He , Junqin Li , Wenzheng Song , Yanan Li , Baoku Shi , Weifeng Gao , Wei Sun
Variation in precipitation event size and nitrogen deposition are important global change factors, which have the potential to affect soil respiration and its components, especially in water- and nitrogen-limited semi-arid ecosystems. However, interactive effects of precipitation events and nitrogen input on soil respiration and its components remain largely unknown. We conducted a mesocosm simulation experiment to examine responses of soil respiration and its components, heterotrophic respiration and autotrophic respiration, to changes in precipitation event size (0, 5, 10, 20, and 50 mm; July 2020) and long-term nitrogen addition (0 and 10 g m−2 yr−1; since 2011). The precipitation events triggered the pulsing release of soil respiration and its components, but heterotrophic respiration and autotrophic respiration had different response thresholds, response times, and flux magnitude. The precipitation events significantly stimulated the cumulative soil respiration and its components, among which the cumulative soil respiration and heterotrophic respiration increased quadratically, and the cumulative autotrophic respiration increased linearly, with the increase in precipitation event size. The nitrogen addition suppressed the rates of soil respiration and heterotrophic respiration before the precipitation events but improved the net increment of cumulative soil respiration and heterotrophic respiration after the precipitation events. The precipitation events and long-term nitrogen addition synergistically stimulated the cumulative soil respiration and heterotrophic respiration but had no synergistic effect on the cumulative autotrophic respiration. Precipitation events and nitrogen addition increased soil moisture and dissolved inorganic nitrogen, enhancing microbial biomass and activity, which in turn drove cumulative soil respiration and heterotrophic respiration, and by increasing plant biomass, promoted cumulative autotrophic respiration. Overall, our results highlight the importance of the interactive effects of precipitation events and long-term nitrogen addition on soil respiration and heterotrophic respiration, suggesting that such interactions should be considered to accurately assess and predict carbon budget in future global change scenarios.
降水事件大小和氮沉降的变化是重要的全球变化因子,它们有可能影响土壤呼吸及其组分,特别是在水和氮有限的半干旱生态系统中。然而,降水事件和氮输入对土壤呼吸及其组分的交互作用在很大程度上仍然未知。我们进行了一个中尺度模拟实验,以研究土壤呼吸及其组分异养呼吸和自养呼吸对降水事件大小(0、5、10、20和50 mm)变化的响应;2020年7月)和长期加氮(0和10 g m−2年−1;自2011年以来)。降水事件触发了土壤呼吸及其组分的脉冲释放,但异养呼吸和自养呼吸具有不同的响应阈值、响应时间和通量大小。降水事件显著刺激累积土壤呼吸及其组分,其中累积土壤呼吸和异养呼吸随降水事件大小的增加呈二次增长,累积自养呼吸呈线性增长。施氮抑制了降水前土壤呼吸和异养呼吸速率,但提高了降水后累积土壤呼吸和异养呼吸的净增量。降水事件和长期加氮对累积土壤呼吸和异养呼吸有协同作用,但对累积自养呼吸无协同作用。降水事件和氮素添加增加了土壤水分和溶解无机氮,增加了微生物生物量和活性,进而推动了土壤累积呼吸和异养呼吸,并通过增加植物生物量促进了累积自养呼吸。总体而言,我们的研究结果强调了降水事件和长期氮添加对土壤呼吸和异养呼吸的相互作用的重要性,表明在未来全球变化情景中,应该考虑这种相互作用来准确评估和预测碳收支。
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引用次数: 0
Distribution of vanadium in the pedosphere of China and its natural and anthropogenic influencing factors 中国土壤圈中钒的分布及其自然和人为影响因素
IF 5.4 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-12-01 DOI: 10.1016/j.catena.2024.108615
Wei Wang , Xueqiu Wang , Bimin Zhang , Jian Zhou , Hanliang Liu , Lanshi Nie
Vanadium (V) is a strategic element in high demand in the industrial and pharmaceutical sectors. However, anthropogenic activities, including mineral exploration and industrial emissions, increase the risk of V contamination in soils. Consequently, research on V in the fields of mineral exploration and environmental pollution has garnered increasing attention. The China Geochemical Baseline (CGB) Project has conducted the first comprehensive collection and analysis of 12,201 rock samples, 3,382 top soil samples, and 3,380 deep soil samples in mainland China and the data was analysed in this study. High V concentrations occurred in soils in southern and northern China, and that V concentration were scattered in northern China. The concentration of V in soils was influenced by several natural factors, including tectonic activity, the distribution of intermediate–basic rocks (especially basalts) and black rock series; the distribution of laterites, and the occurrence of V deposits. Additionally, certain regions with high V concentrations were impacted by anthropogenic factors, primarily mining and smelting. This study, utilizing fundamental comparative data offered by the CGB Project, presents a comprehensive investigation of the spatial distribution characteristics of V, its migration, and enrichment mechanisms on a regional scale and also provides essential geochemical information on the detailed distribution of V in the pedosphere and rocks of mainland China.
钒(V)是工业和制药部门需求旺盛的战略元素。然而,人为活动,包括矿物勘探和工业排放,增加了土壤中V污染的风险。因此,V在矿产勘查和环境污染领域的研究越来越受到重视。中国地球化学基线(CGB)项目在中国大陆首次进行了12201个岩石样品、3382个表层土壤样品和3380个深层土壤样品的综合采集和分析,并对数据进行了分析。中国南方和北方土壤V浓度较高,北方土壤V浓度分散。土壤中V的浓度受构造活动、中基性岩(特别是玄武岩)分布和黑色岩系等自然因素的影响;红土的分布和V矿床的赋存状态。此外,某些高V浓度区域受到人为因素的影响,主要是采矿和冶炼。本研究利用CGB项目提供的基础对比数据,全面探讨了V在区域尺度上的空间分布特征、迁移和富集机制,并为V在中国大陆土壤圈和岩石中的详细分布提供了重要的地球化学信息。
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引用次数: 0
Carbon balance model of groundwater-lake systems in arid and semi-arid areas and its application 干旱半干旱区地下水-湖泊系统碳平衡模型及其应用
IF 5.4 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-12-01 DOI: 10.1016/j.catena.2024.108610
Lu Li , Shaogang Dong , Yaxin Ji , Xuchao Zang , Xuemin Han
A series of carbon-related hydrogeochemical processes occurring during groundwater runoff and recharge to the lake significantly impact the terrestrial carbon cycle. However, the migration and transformation of carbon in a complete groundwater-lake system has been reported rarely. In this paper, the Daihai Basin in Inner Mongolia was taken as an example and carbon balance equation of the groundwater-lake system was constructed by using the principle of mass conservation and hydrogeochemical simulation, thereby analyzing the migration and transformation mechanism of DIC in the process of groundwater runoff and recharge to the lake. The results showed that the increment of DIC in groundwater-lake system triggered by groundwater runoff and recharge to the lake in Daihai Basin was 4264.87 t/a (8.53 g/(m2.a)), and the net carbon fixed from the soil and the atmosphere (as CO2) was 5850.24 t/a (11.70 g/(m2.a)). Specifically, the carbon absorbed from the soil during the recharge of atmospheric precipitation to groundwater via the vadose zone was 5607.65 t/a (12.41 g/(m2.a)); the carbon absorbed from soil (or atmosphere) by water–rock interaction during groundwater runoff (as CO2) was 529.55 t/a (1.17 g/(m2.a)); the carbon absorbed from the atmosphere during the mixing process between groundwater and Daihai was 179.62 t/a (3.78 g/(m2.a)); the carbon emitted to the atmosphere due to pressure changes during artificial exploitation of groundwater was 466.58 t/a (1.03 g/(m2. a)). The CO2 of the vadose zone is the main carbon source of groundwater, and the conversion of carbonate to bicarbonate during the mixing process between groundwater and lake contributes to the lake’s carbon sink function. The groundwater-lake system in arid and semi-arid areas has considerable carbon sequestration capacity and is an important carbon sink for terrestrial ecosystems.
地下水径流和湖泊补给过程中发生的一系列与碳相关的水文地球化学过程显著影响了陆地碳循环。然而,完整的地下水湖泊系统中碳的迁移转化研究却鲜有报道。本文以内蒙古岱海盆地为例,运用质量守恒原理和水文地球化学模拟,构建了地下水-湖泊系统的碳平衡方程,分析了地下水径流回灌湖泊过程中DIC的迁移转化机制。结果表明:地下水径流和补给引起的地下水-湖泊系统DIC增量为4264.87 t/a (8.53 g/(m2.a)),土壤和大气净固定碳(以CO2形式)为5850.24 t/a (11.70 g/(m2.a))。具体而言,大气降水经水汽带补给地下水过程中从土壤中吸收的碳量为5607.65 t/a (12.41 g/(m2.a));地下水径流过程中水岩相互作用从土壤(或大气)中吸收的碳(以CO2形式)为529.55 t/a (1.17 g/(m2.a));地下水与岱海混合过程中从大气中吸收的碳为179.62 t/a (3.78 g/(m2.a));地下水人工开采过程中由于压力变化向大气排放的碳量为466.58 t/a (1.03 g/(m2))。))。水汽带中的CO2是地下水的主要碳源,地下水与湖泊混合过程中碳酸盐向重碳酸盐的转化有助于湖泊的碳汇功能。干旱半干旱区地下水湖系统具有相当的固碳能力,是陆地生态系统的重要碳汇。
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引用次数: 0
Ground-truthing of a data driven landform map in southwest Australia 数据驱动的地形地图在澳大利亚西南部的地面真实性
IF 5.4 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-12-01 DOI: 10.1016/j.catena.2024.108619
Anicia Henne , Ryan Noble , Dave Cole , Selina Hutcheon , Ian C Lau , Fang Huang
A variety of data driven, mostly supervised, machine learning approaches have been used to model landforms in soil and regolith sciences, commonly with a claim of enhanced objectivity of the resulting map. These models regularly rely on soil sample measurements or existing human derived mapping products to train or retrospectively validate a model. Case studies of unsupervised machine learning approaches are less common, and input data as well as clustering algorithms vary widely. In this study, a relatively simple, unsupervised machine learning approach was used to create a proxy landform map from partially independent, remotely-sensed data (digital elevation model, radiometric U, Th and K, Sentinel-2 derived band ratios, and Multi-resolution Valley Bottom Flatness). This machine learning workflow was developed for general, first-pass landform mapping in remote areas, where access is limited, to provide tools for mineral exploration. The workflow was designed for the Australian continent and previously applied to over 40 sites. However, given that the models were not trained or retrospectively validated with objective observations, the question arises whether the units identified represent meaningful differences in soil and landform properties. To answer this question, conditioned Latin Hypercube Sampling was used to identify sampling locations that capture the variability of properties of eight landform clusters produced from a machine learning workflow in the Mundaring State Forest, Western Australia. Soil cores (30 cm depth) were sampled at these 40 sites, and we combine portable X-ray fluorescence, visible near-infrared to shortwave infrared analyses, soil pH and field observations to identify differences between the modelled landform types, and how the soil physico-chemical and mineralogical properties relate to the model’s input feature layers. Our investigations show that the model produced largely contiguous landform units with distinctive differences that were reflected in measurable averages of geochemical and mineralogical soil properties. As such, highest Si concentrations correlated with sandy channel materials while Mn and Fe concentrations were highest in ferruginous duricrust, and white mica and chlorite group minerals were identified in shallow residual soils developed from granitic parent material. These results correlate well with the model input features and align with a general conceptual understanding of soil-landscape and regolith landform formation, and with existing soil and regolith maps. However, some inconsistencies were observed in the landform unit clusters, likely capturing the heterogeneity of the landform/soil and this provides an understanding of the limitations of categorical models.
各种数据驱动(主要是监督)的机器学习方法已被用于土壤和风化层科学中的地形建模,通常声称结果地图的客观性增强。这些模型通常依赖于土壤样本测量或现有的人类衍生制图产品来训练或回顾性验证模型。无监督机器学习方法的案例研究不太常见,输入数据以及聚类算法差异很大。在这项研究中,使用了一种相对简单的无监督机器学习方法,从部分独立的遥感数据(数字高程模型、辐射U、Th和K、Sentinel-2衍生的波段比和多分辨率山谷底部平坦度)中创建代理地形地图。这种机器学习工作流程是为访问受限的偏远地区的一般首次地形测绘而开发的,为矿产勘探提供工具。该工作流程是为澳大利亚大陆设计的,以前应用于40多个站点。然而,考虑到这些模型没有经过训练,也没有经过客观观测的回顾性验证,问题是所确定的单位是否代表了土壤和地形特性的有意义的差异。为了回答这个问题,研究人员使用条件拉丁超立方体采样来确定采样位置,这些采样位置捕捉了西澳大利亚州芒达林国家森林中机器学习工作流程产生的八个地貌集群的属性可变性。我们在这40个地点取样了30厘米深的土壤岩心,并结合便携式x射线荧光、可见近红外和短波红外分析、土壤pH值和实地观测来确定模型地形类型之间的差异,以及土壤物理化学和矿物学性质与模型输入特征层的关系。我们的研究表明,该模型产生了大量连续的地貌单元,这些地貌单元具有明显的差异,这反映在地球化学和矿物学土壤性质的可测量平均值中。因此,硅在砂质河道物质中含量最高,锰和铁在含铁硬壳中含量最高,白色云母和绿泥石群矿物在花岗岩母质发育的浅层残积土中含量最高。这些结果与模型输入特征有很好的相关性,并与对土壤景观和风化层地貌形成的一般概念理解以及现有的土壤和风化层地图相一致。然而,在地形单元群中观察到一些不一致,可能捕获了地形/土壤的异质性,这提供了对分类模型局限性的理解。
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引用次数: 0
Mowing in place of conventional grazing increased soil organic carbon stability and altered depth-dependent protection mechanisms 以割草代替传统放牧增加了土壤有机碳的稳定性,改变了依赖深度的保护机制
IF 5.4 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-12-01 DOI: 10.1016/j.catena.2024.108629
Bin Wei , Yuqi Wei , Hao Zhang , Tongtian Guo , Ruihuan Zhang , Yingjun Zhang , Nan Liu
Conventional grazing with high grazing pressure can decrease soil organic carbon (SOC) stability by disrupting its protective mechanisms, eliciting soil depth-dependent responses. Grazing exclusion for hay-making by mowing is usually adopted to restore grassland. However, there is still a lack of systematic evaluation of SOC stability and its impact factors in different soil layers when mowing replaces conventional grazing. Here, based on an investigation of 15 paired sites from mowing vs. conventional grazing in a temperate grassland of northeast China, we found that mowing increased mean weight diameter of soil aggregates (MWD, 5.14 %), Fe/Al associated organic carbon (Fe/Al-OC, 12.20 %), and SOC stability (11.46 %) at topmost soil layer (0–10 cm) but only increased MWD (8.50 %) at subsurface soil (10–30 cm). Mowing increased root biomass of plant variables, soil bulk density and pH of soil properties, and microbial biomass carbon (MBC) of microbial properties at the topmost layer, collectively contributing to SOC protection. However, the reduction in soil nitrate nitrogen and increasing MBC induced by mowing drove the subsurface SOC protection. The protection mechanism for SOC stability shifted from a single physical protection dominance in mowing areas to joint physical and mineral protection in conventional grazing grasslands at the topmost depth. In contrast, subsurface SOC stability was consistently governed by mineral protection regardless of grazing. Our results imply that although grassland ecosystems can initiate more protection mechanisms to cope with disturbances, mowing induced the increase of physical and mineral protection resulting from the substantial promotion in plant C input quantity and microbial biomass, combined with alteration in soil properties, finally stabilized topmost SOC. The limited impact of management practices on the subsurface SOC stability indicates that the interaction of subsurface soil and microbial properties with SOC protection should be fully considered to forecast soil C dynamics and its resistance to disturbance accurately.
高放牧压力下的常规放牧会破坏土壤有机碳(SOC)的保护机制,引起土壤深度依赖性响应,从而降低土壤有机碳(SOC)稳定性。为了恢复草原,通常采用禁牧制草的方法。然而,目前还缺乏对刈割替代放牧时不同土层有机碳稳定性及其影响因子的系统评价。通过对东北温带草地15个刈割与常规放牧样地的对比研究,我们发现刈割增加了表层(0 ~ 10 cm)土壤团聚体的平均重径(MWD, 5.14%)、Fe/Al伴生有机碳(Fe/Al- oc, 12.20%)和有机碳稳定性(11.46%),但只增加了表层(10 ~ 30 cm)土壤的MWD(8.50%)。刈割增加了植物根系生物量、土壤容重和土壤性质pH值以及最表层微生物性质微生物生物量碳(MBC),共同促进了有机碳的保护。而刈割引起的土壤硝态氮的减少和MBC的增加则促进了土壤有机碳的保护。土壤有机碳稳定性的保护机制由刈割区单一的物理保护为主向常规放牧草地最深层的物理和矿物联合保护转变。相比之下,地下有机碳稳定性始终受矿物保护的支配,而不受放牧的影响。研究结果表明,尽管草地生态系统可以启动更多的保护机制来应对干扰,但刈割导致植物C输入量和微生物量的大幅增加,加上土壤性质的改变,导致了物理和矿物保护的增加,最终稳定了顶层有机碳。管理措施对地下有机碳稳定性的影响有限,表明应充分考虑地下土壤和微生物特性与有机碳保护的相互作用,以准确预测土壤碳动态及其对干扰的抵抗力。
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引用次数: 0
Grazing weakens the carbon sequestration capacity of dry temperate grassland ecosystems in Central Asia 放牧削弱了中亚干温带草原生态系统的固碳能力
IF 5.4 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-11-30 DOI: 10.1016/j.catena.2024.108608
Yuangang Wang , Geping Luo , Chaofan Li , Yu Zhang , Chenglong Zhang , Xiaotong Yu , Binbin Fan , Wenqiang Zhang , Mingjuan Xie , Yujia Liu
The impact of grazing on carbon (C) stocks in grasslands is significant and is influenced by grazing management practices and abiotic conditions, both of which are spatially heterogeneous. Here, we used highly-precision meteorological and grassland management data with an improved ecological model (Biome-BGCMuSo) to assess the effects of grazing on C dynamics in dry temperate grasslands in Xinjiang Uygur Autonomous Region, China. Our findings indicate that grasslands in Xinjiang acted as a weak net C sink (0.45 kg C m2) between 1975 and 2020, mainly due to elevated CO2 concentrations. Mean annual gross primary productivity, net ecosystem production, soil organic carbon (SOC), and vegetation carbon (VegC) were 0.87 kg C m2 yr1, 27.72 g C m2 yr1, 9.14 kg C m2, and 0.28 kg C m2, respectively. Further investigation revealed that the increase in grazing intensity from 0.42 head ha1 to 0.73 head ha1 reduced the C sequestration capacity of grasslands from 0.53 kg C m2 to 0.45 kg C m2 over the study period under climate change. Most of this reduction resulted from SOC loss, which accounted for 78.07 % of total net C loss (42.46 Tg C in SOC and VegC combined). The magnitude of C loss was positively correlated with grazing intensity. However, environmental factors that promote productivity may mitigate the adverse effects of grazing. Therefore, strategies to protect grassland ecosystems are urgently needed and should extend beyond merely reducing grazing intensity to address the competing priorities of food security and atmospheric CO2 mitigation.
放牧对草原碳(C)储量的影响显著,且受放牧管理方式和非生物条件的影响,两者具有空间异质性。利用高精度气象和草地管理数据,采用改进的Biome-BGCMuSo生态模型,研究放牧对新疆干温带草原碳动态的影响。研究结果表明,1975 - 2020年,新疆草原是一个弱碳净汇(0.45 kg C m−2),主要原因是CO2浓度升高。年平均总初级生产力、净生态系统产量、土壤有机碳(SOC)和植被碳(VegC)分别为0.87 kg C m−2 yr−1、27.72 gC m−2 yr−1、9.14 kg C m−2和0.28 kg C m−2。进一步研究发现,在气候变化条件下,放牧强度从0.42头ha−1增加到0.73头ha−1,使草地的碳固存能力从0.53 kg C m−2降低到0.45 kg C m−2。这种减少主要来自有机碳损失,占总净碳损失的78.07%(有机碳和有机碳加起来为42.46 Tg C)。碳损失量与放牧强度呈正相关。然而,促进生产力的环境因素可能会减轻放牧的不利影响。因此,保护草原生态系统的战略是迫切需要的,而且不应仅仅是降低放牧强度,而应解决粮食安全和大气二氧化碳减排这两个相互竞争的优先事项。
{"title":"Grazing weakens the carbon sequestration capacity of dry temperate grassland ecosystems in Central Asia","authors":"Yuangang Wang ,&nbsp;Geping Luo ,&nbsp;Chaofan Li ,&nbsp;Yu Zhang ,&nbsp;Chenglong Zhang ,&nbsp;Xiaotong Yu ,&nbsp;Binbin Fan ,&nbsp;Wenqiang Zhang ,&nbsp;Mingjuan Xie ,&nbsp;Yujia Liu","doi":"10.1016/j.catena.2024.108608","DOIUrl":"10.1016/j.catena.2024.108608","url":null,"abstract":"<div><div>The impact of grazing on carbon (C) stocks in grasslands is significant and is influenced by grazing management practices and abiotic conditions, both of which are spatially heterogeneous. Here, we used highly-precision meteorological and grassland management data with an improved ecological model (Biome-BGCMuSo) to assess the effects of grazing on C dynamics in dry temperate grasslands in Xinjiang Uygur Autonomous Region, China. Our findings indicate that grasslands in Xinjiang acted as a weak net C sink (0.45 kg C m<sup>−</sup><sup>2</sup>) between 1975 and 2020, mainly due to elevated CO<sub>2</sub> concentrations. Mean annual gross primary productivity, net ecosystem production, soil organic carbon (SOC), and vegetation carbon (VegC) were 0.87 kg C m<sup>−</sup><sup>2</sup> yr<sup>−</sup><sup>1</sup>, 27.72 g C m<sup>−</sup><sup>2</sup> yr<sup>−</sup><sup>1</sup>, 9.14 kg C m<sup>−</sup><sup>2</sup>, and 0.28 kg C m<sup>−</sup><sup>2</sup>, respectively. Further investigation revealed that the increase in grazing intensity from 0.42 head ha<sup>−</sup><sup>1</sup> to 0.73 head ha<sup>−</sup><sup>1</sup> reduced the C sequestration capacity of grasslands from 0.53 kg C m<sup>−</sup><sup>2</sup> to 0.45 kg C m<sup>−</sup><sup>2</sup> over the study period under climate change. Most of this reduction resulted from SOC loss, which accounted for 78.07 % of total net C loss (42.46 Tg C in SOC and VegC combined). The magnitude of C loss was positively correlated with grazing intensity. However, environmental factors that promote productivity may mitigate the adverse effects of grazing. Therefore, strategies to protect grassland ecosystems are urgently needed and should extend beyond merely reducing grazing intensity to address the competing priorities of food security and atmospheric CO<sub>2</sub> mitigation.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"248 ","pages":"Article 108608"},"PeriodicalIF":5.4,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142756961","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}
引用次数: 0
Change in soil organic carbon after slope cropland changed into terrace in southwest China 西南坡耕地转梯田后土壤有机碳的变化
IF 5.4 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-11-30 DOI: 10.1016/j.catena.2024.108580
Zhouyao He , Shuqin He , Zicheng Zheng , Haiyan Yi , Shuangfeng Qu , Xiaohong Liu
As an important soil and water conservation engineering measure in mountainous and hilly areas, the carbon pool management strategy of terraces is of great significance for maintaining food security and mitigating global warming. However, little is known about its carbon sequestration potential and mechanism. Employing space–for–time substitution, this study investigated the change characteristics of soil organic carbon pool accumulation and distribution after the transition from slope cropland to terrace, as well as the potential for soil carbon sequestration in terraces with different land use patterns (rainfed cropland (CL) and orchard (OR)) across various ages (3–, 6–, 9–, 13–, and 20–year–old) in the Sichuan Basin. During the past 20 years, the SOC, density (SOCD), labile organic carbon (LOC), inert carbon (IOC) and carbon pool management index (CPMI) of the terrace all exhibited an initial decline followed by an increase, generally peaking at 13–year–old before gradually decreasing. Notably, the ages of terrace and its interaction with land use patterns were the main factors affecting the change of organic carbon components (P < 0.05). BD was a significant negative correlation with SOC accumulation (P < 0.05), while TP and C/N were a significant positive correlation with SOC (P < 0.05). Compared with slope cropland, terrace increased soil carbon sequestration mainly by promoting the accumulation of free particulate organic carbon (fPOC), occluded particulate organic carbon (oPOC) and mineral bonded organic carbon (mSOC) (increased by 46.48 %, 96.87 % and 3.93 %, respectively). Compared with OR, CL had higher carbon pool management potential. In conclusion, terraces, especially rainfed cropland terraces, have advantages in carbon increase and sequestration, and will become a potential carbon “sink” under scientific management.
梯田碳库管理策略作为山地丘陵地区重要的水土保持工程措施,对于维护粮食安全和减缓全球变暖具有重要意义。然而,人们对其固碳潜力和机制知之甚少。采用时空替代方法,研究了四川盆地坡耕地向梯田过渡后土壤有机碳库积累和分布的变化特征,以及不同土地利用方式(旱地和果园)梯田在不同年龄(3、6、9、13、20岁)土壤固碳潜力。近20 a来,梯田土壤有机碳(SOC)、密度(SOCD)、活性有机碳(LOC)、惰性碳(IOC)和碳库管理指数(CPMI)均呈现先下降后上升的趋势,总体在13 a时达到峰值,之后逐渐下降。阶地年龄及其与土地利用方式的相互作用是影响有机碳组分变化的主要因素(P <;0.05)。BD与有机碳积累呈显著负相关(P <;TP和C/N与SOC呈显著正相关(P <;0.05)。与坡地相比,梯田增加土壤固碳主要是通过促进自由颗粒有机碳(fPOC)、封闭颗粒有机碳(oPOC)和矿物结合有机碳(mSOC)的积累(分别增加46.48%、96.87%和3.93%)。与OR相比,CL具有更高的碳库管理潜力。综上所述,梯田尤其是旱作农田梯田具有增加和固碳的优势,在科学管理下将成为潜在的碳“汇”。
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引用次数: 0
Grain size and shape analysis of recent and paleo sediments along Poyang Lake with insight into its environmental significance 鄱阳湖近古沉积物粒度形状分析及其环境意义
IF 5.4 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-11-29 DOI: 10.1016/j.catena.2024.108588
Fangen Hu , Xia Xiao , Qingbin Fan , Lupeng Yu , Yun Xu , Yangwei Feng , Yang Zhou , Mengyao Yu
Grain shape is a crucial sedimentological attribute commonly employed for reconstructing depositional environments and transport history. The new dynamic image analysis (DIA) techniques enable testing a large number of individual mineral grains simultaneously and overcomes many shortcomings of traditional visual evaluation. However, there is a relative dearth of comprehensive analysis on large quantities of sediments in recent and geological period to accurately document their grain shape properties and further evaluate their applicability in distinguishing sedimentary setting and its environmental significance. In this study, we measured the grain shape and size of 77 samples collected from modern surface sand (28 beach sand and 17 dune sand samples) and stratigraphic sediment (16 paleo-dunes sand and 16 paleo-lacustrine sand samples) along the Poyang Lake in southeastern China using the DIA method, and optically stimulated luminescence (OSL) dating was used to constrain the age of stratigraphic sediments from two sand hill sections. Also 217 published grain shape data from various sedimentary environments (coastal beach, desert dune and fluvial sand) were compiled as comprehensively assess the applicability of grain shape discrimination for sedimentary setting. Our results show the significant difference on grain shape feature among fluvial, coastal beach and dune sand. Dune sand exhibit the highest values for circularity (Ci), symmetry (Sy), aspect ratio (AR), and convexity (Cx), while fluvial sand displays high Ci, Sy, Cx value, and lowest AR value. This indicate that the grain shape can be a powerful tool for discriminating sedimentary setting. Principal component analysis shows that circularity and aspect ratio effectively describe the shape of the analyzed sediment and are decisive indicators for identification depositional environments, whereas the convexity has limited sensitivity in distinguishing grain edge roundness. The paleo-lacustrine sand (PLS) intercalated within the sand hill profiles returns OSL age of age of ∼ 26.5 ± 1.4 ka, which indicate the emergence of interdune lake rather than high lake level of Poyang Lake. PLS and modern beach sand (BS) exhibiting identical grain shape characteristics to those of modern aeolian dune sand (DS) suggested the occurrence of aeolian-fluvial interaction processes in our study area during the Last Glacial Maximum and present day. The paleo-dune sand (PDS) samples, yielding OSL age of 1.2 ± 0.1 ka, are characterized by higher Ci, Sy, and AR, indicating strong aeolian activity and dune reworking during the past two millennia along the Poyang Lake.
颗粒形状是重建沉积环境和搬运历史的重要沉积学属性。新的动态图像分析(DIA)技术能够同时检测大量单个矿物颗粒,克服了传统视觉评价的许多缺点。然而,对近地质时期大量沉积物的综合分析,以准确记录其颗粒形状特征,进一步评价其在区分沉积背景和环境意义方面的适用性,相对缺乏。本文采用DIA法测定了鄱阳湖近现代表层砂(28个海滩砂和17个沙丘砂)和地层沉积物(16个古沙丘砂和16个古湖相砂)的77个样品的颗粒形状和大小,并用光学激发发光(OSL)定年法对两个沙山剖面的地层沉积物进行了年龄约束。整理了已发表的217份不同沉积环境(滨海滩涂、沙丘、河流沙)的颗粒形状数据,综合评价了颗粒形状判别对沉积环境的适用性。结果表明,河流沙、海岸沙和沙丘沙的颗粒形态特征存在显著差异。沙丘砂的圆度(Ci)、对称性(Sy)、纵横比(AR)和凸度(Cx)值最高,河流砂的Ci、Sy、Cx值最高,AR值最低。这表明颗粒形状可以作为判别沉积背景的有力工具。主成分分析表明,圆度和纵横比能有效地描述被分析沉积物的形状,是识别沉积环境的决定性指标,而凹凸度对识别颗粒边缘圆度的敏感性有限。在沙丘剖面中穿插的古湖相砂(PLS)反演的OSL年龄为~ 26.5±1.4 ka,表明鄱阳湖出现了丘间湖,而不是高湖位。PLS和现代海滩砂(BS)的颗粒形状特征与现代风成沙丘砂(DS)相同,表明末次盛冰期和现在研究区发生了风成—河流相互作用过程。古沙丘砂(PDS)样品的OSL年龄为1.2±0.1 ka,具有较高的Ci、Sy和AR特征,表明近2000年来鄱阳湖一带的风成活动和沙丘改造强烈。
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引用次数: 0
Enhanced ephemeral gully mapping through multi-classifier integration and spectral feature analysis 通过多分类器集成和光谱特征分析增强了短暂沟壑映射
IF 5.4 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-11-29 DOI: 10.1016/j.catena.2024.108590
Solmaz Fathololoumi, Hiteshkumar B. Vasava, Daniel Saurette, Prasad Daggupati, Asim Biswas
The mapping of ephemeral gullies (EGs) is essential for improving and managing agriculture, but it poses challenges in terms of their identification, monitoring, and measurement. The primary objective of this study was to devise a novel approach that integrates multiple classifiers to map EGs. This was achieved by utilizing spectral features extracted from Pleiades-1 satellite imagery of the Niagara region in Canada, as a case study site, alongside a ground dataset collected during field visits, to train and validate the classifiers. Initially, maps were generated with spectral features deemed effective for EG identification, encompassing four spectral bands and eight spectral indices that reveal surface characteristics. Subsequently, four distinct classifiers, namely artificial neural network (ANN), logistic regression (LR), support vector machine (SVM), and random forest (RF), were employed to produce EG maps. In the third phase, the Dempster-Shafer (D-S) theory was employed to amalgamate the results from all classifiers, thereby enhancing the accuracy of the EGs map. Lastly, the performance of the various classifiers was evaluated using diverse metrics, including user accuracy, producer accuracy, overall accuracy, prediction rate, and receiver operating characteristics (ROC) analysis. The most influential variables in identifying EGs were determined to be Norm NIR (18%), Soil line (15%), NDVI (12%), and NDWI (10%). The average producer (user) accuracy for EGs and non-EGs classes across all four classifiers was 0.53 (0.67) and 0.97 (0.95), respectively. Incorporating the D-S theory improved these accuracy values to 0.68 (0.86) for EGs and 0.99 (0.97) for non-EGs. Furthermore, the overall accuracy (prediction rate) for EGs mapping, based on ANN, LR, SVM, RF classifiers, and D-S, was 0.94 (8.2), 0.94 (9.7), 0.93 (7.7), 0.95 (10.1), and 0.97 (12.5), respectively. ROC analysis revealed that the D-S classifier exhibited the highest accuracy in EG identification, while LR performed the least effectively. In summary, this research underscores that the proposed ensemble modeling approach for mapping EGs surpasses traditional classifiers in meeting accuracy criteria, showcasing its promising potential for guiding future informed decision-making processes.
短暂沟壑(EGs)的测绘对于改善和管理农业至关重要,但它在识别、监测和测量方面提出了挑战。本研究的主要目的是设计一种集成多个分类器的新方法来绘制egg。这是通过利用从加拿大Niagara地区的pleades -1卫星图像中提取的光谱特征作为案例研究地点,以及在实地访问期间收集的地面数据集来训练和验证分类器来实现的。最初,地图生成的光谱特征被认为是有效的EG识别,包括四个光谱带和八个光谱指数,揭示地表特征。随后,采用人工神经网络(ANN)、逻辑回归(LR)、支持向量机(SVM)和随机森林(RF)四种不同的分类器来生成EG地图。在第三阶段,采用Dempster-Shafer (D-S)理论对所有分类器的结果进行合并,从而提高EGs图的准确性。最后,使用不同的指标评估各种分类器的性能,包括用户准确性、生产者准确性、总体准确性、预测率和接收者工作特征(ROC)分析。确定对EGs识别影响最大的变量为Norm NIR(18%)、Soil line(15%)、NDVI(12%)和NDWI(10%)。在所有四个分类器中,EGs和非EGs类的平均生产者(用户)准确率分别为0.53(0.67)和0.97(0.95)。结合D-S理论,EGs和非EGs的准确度分别提高到0.68(0.86)和0.99(0.97)。此外,基于ANN、LR、SVM、RF分类器和D-S的EGs映射的总体准确率(预测率)分别为0.94(8.2)、0.94(9.7)、0.93(7.7)、0.95(10.1)和0.97(12.5)。ROC分析显示,D-S分类器对EG的识别准确率最高,而LR的识别效率最低。总之,本研究强调了所提出的用于映射EGs的集成建模方法在满足精度标准方面优于传统分类器,展示了其指导未来知情决策过程的良好潜力。
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引用次数: 0
Factors governing crusting formation in soils in Southern Mali, West Africa: Evaluation of susceptibility indices 控制西非马里南部土壤结壳形成的因素:敏感性指数的评价
IF 5.4 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2024-11-29 DOI: 10.1016/j.catena.2024.108581
Paul Andres Jimenez Jimenez , Eduardo Medeiros de Oliveira , Beatriz Macêdo Medeiros , Edinei José Armani Borghi , Yuri Lopes Zinn , Junior Cesar Avanzi , Alberto Vasconcellos Inda , Marcelo Ângelo Cirillo , João José Marques , Adama Cisse , Moro Diakite , Nilton Curi , Marx Leandro Naves Silva
In Southern Mali and neighboring semi-arid Sahel regions, soil crusting and sealing are common and significant phenomena for people who depend on agriculture for their livelihoods. These processes form hard, impermeable layers on the soil surface, reducing water infiltration, increasing runoff and erosion, and hindering germination, seedling emergence, and productivity. Factors such as rainfall intensity, topography, soil attributes, and poor management practices contribute to these phenomena. Here, we aimed to analyze soil attributes affecting crust formation and evaluate them using indicators like the structural stability index (StI), particle separability index (PSI), and crusting susceptibility index (CSI). Soils samples from agricultural and native areas in Southern Mali were analyzed for physical, chemical, mineralogical, and micromorphological attributes. Results revealed that the soils in these regions have high silt and fine sand content and low organic carbon content. Poor soil management, leading to prolonged periods of bare soils, significantly contributes to crusting. Kaolinitic clays, Ca2+ and Mg2+ contents did not appear to affect crusting. The PSI revealed a high risk of aggregate disruption in both agricultural and native lands, demonstrating soil vulnerability to degradation. The StI showed limited risk of structural degradation in native lands, while agricultural soils were more susceptible to crusting. The CSI indicated moderate crusting susceptibility across the regions. By examining the three indices related to texture attributes and organic carbon, this study provides insights into estimating susceptibility to crusting through the evaluation of the risk of soil structural degradation, particle separation, and overall soil susceptibility to surface crusting, all of which underscore the need for improved soil attributes. It emphasizes the importance of implementing effective soil management strategies, particularly the adoption of cover crops, to enhance organic carbon content and increase vegetation cover. These measures are essential for improving soil health and minimizing the risk of crusting.
在马里南部和邻近的半干旱萨赫勒地区,土壤结壳和封皮是依赖农业为生的人们普遍存在的重要现象。这些过程在土壤表面形成坚硬的不透水层,减少水分入渗,增加径流和侵蚀,阻碍发芽、幼苗出苗和生产力。降雨强度、地形、土壤属性和管理不善等因素导致了这些现象。本文旨在分析影响结皮形成的土壤属性,并利用结构稳定性指数(StI)、颗粒可分离性指数(PSI)和结皮敏感性指数(CSI)等指标对其进行评价。对马里南部农业和原生地区的土壤样本进行了物理、化学、矿物学和微形态特征分析。结果表明,该地区土壤粉砂和细砂含量高,有机碳含量低。土壤管理不善,导致土壤长时间裸露,严重导致结皮。高岭石粘土、Ca2+和Mg2+含量对结壳无明显影响。PSI揭示了农业和原生土地总体破坏的高风险,表明土壤容易退化。StI显示原生土地结构退化的风险有限,而农业土壤更容易结壳。CSI显示,各地区对结壳的敏感性均为中等。通过考察与质地属性和有机碳相关的三个指标,本研究通过评估土壤结构退化风险、颗粒分离风险和土壤对表面结皮的总体敏感性,为估算结皮敏感性提供了见解,所有这些都强调了改善土壤属性的必要性。它强调了实施有效土壤管理战略的重要性,特别是采用覆盖作物,以提高有机碳含量和增加植被覆盖。这些措施对于改善土壤健康和尽量减少结皮风险至关重要。
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