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Soil bacterial depth distribution controlled by soil orders and soil forms

Soil Ecology Letters 2022年第1期4卷 69-77页

作者： Peipei Xue Alex B.McBratney budiman minasny Tony O'Donnell Vanessa Pino Mario Fajardo Wartini Ng Neil Wilson Rosalind Deaker School of Life and Environmental Sciences The University of SydneyNSW 2015Australia Sydney Institute of Agriculture NSW 2006Australia Faculty of Science The University of Western AustraliaWA 6009Australia

Human disturbances to soils can lead to dramatic changes in soil physical,chemical,and biological *** influence of agricultural activities on the bacterial community over different orders of soil and at depth is still not well *** used the concept of genoform and phenoform to investigate the vertical(down to 1 m depth)soil bacterial community structure in paired genosoils(undisturbed forests)and phenosoils(cultivated vineyards)in different soil *** study was conducted in the Hunter Valley area,New South Wales,Australia,where samples were collected from 3 different soil orders(Calcarosol,Chromosol,and Kurosol),and each soil order consists of a pair of genosoil and *** bacterial community structure was analyzed using highthroughput sequencing of 16S *** showed that bacterial-diversity decreased with depth in phenosoils,however,the trend is less obvious in genoform *** diversity was greater in phenosoils than genosoils,but the trend was reversed in ***,cropping not only affected topsoil bacteria community but also decreased its diversity in the *** community in topsoils was influenced by both soil orders and soil forms,however,in subsoils it was more impacted by soil *** Analysis of Principal Coordinates revealed that cropping increased the similarity of bacterial structures of different soil *** study highlighted the strong influence of agricultural activities on soil microbial distribution with depth,which is controlled by soil order.

关键词： Bacterial distribution Soil depth Soil forms/land use Genosoil and phenosoil Soil type/soil order

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Hand-feel soil texture observations to evaluate the accuracy of digital soil maps for local prediction of soil particle size distribution:A case study in Central France

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Pedosphere 2023年第5期33卷 731-743页

作者： Anne C.RICHER-de-FORGES Dominique ARROUAYS Laura POGGIO Songchao CHEN Marine LACOSTE budiman minasny Zamir LIBOHOVA Pierre ROUDIER Vera LMULDER HervéNÉDÉLEC Guillaume MARTELET Blandine LEMERCIER Philippe LAGACHERIE Hocine BOURENNANE INRAE(Institut national de recherche pour l'agriculture l'alimentation et l'environnement)Info&Sols UnitOrléans 45075France ISRIC(International Soil Reference and Information Centre)Wageningen P.O.Box 353Wageningen 6700The Netherlands Zhejiang University-Hangzhou Global Scientific and Technological Innovation Center Hangzhou 311200China The University of Sydney Sydney Institute of Agriculture.Eveleigh NSW 2015Australia The University of Sydney School of Life and Environmental SciencesEveleigh NSW 2015Australia USDA-ARS(United States Department of Agriculture-Agricultural Research Service) Dale Bumpers Small Farms Research Center6883 S.State Hwy.23Booneville AR 72927USA Landcare Research-Manaaki Whenua Palmerston North 4442New Zealand Soil Geography and Landscape Group Wageningen UniversityP.O.Box 47Wageningen 6700The Netherlands Chambre d'Agriculture du Loiret Orléans F-45000France Bureau de Recherches Géologiques et Minières BP 36009Orléans cedex 2Orléans 45060France UMR SAS(UnitéMixte de Recherche"Sol Agro et hydrosystème Spatialisation")Institut Agro INRAERennes F-35000France UMR LISAH(UnitéMixte de Recherche"Laboratoire d'Etude des Interactions entre Sol-Agrosystème-Hydrosystème") INRAEInstitut AgroIRD(Institut de Recherche pour le Développement)Montpellier F-34000France

Digital maps of soil properties are now widely ***-users now can access several digital soil mapping(DSM)products of soil properties,produced using different models,calibration/training data,and covariates at various spatial scales from global to ***,there is an urgent need to provide easy-to-understand tools to communicate map uncertainty and help end-users assess the reliability of DSM products for use at local *** this study,we used a large amount of hand-feel soil texture(HFST)data to assess the performance of various published DSM products on the prediction of soil particle size distribution in Central *** tested four DSM products for soil texture prediction developed at various scales(global,continental,national,and regional)by comparing their predictions with approximately 3200 HFST observations realized on a 1:50000 soil survey conducted after release of these DSM *** used both visual comparisons and quantitative indicators to match the DSM predictions and HFST *** comparison between the low-cost HFST observations and DSM predictions clearly showed the applicability of various DSM products,with the prediction accuracy increasing from global to regional *** simple evaluation can determine which products can be used at the local scale and if more accurate DSM products are required.

关键词： digital soil mapping products easy-to-understand tool hand-feel observation local use map uncertainty prediction performance spatial extent visual assessment

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多土壤信息测量传感器的硬件系统集成设计(英文)

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农业工程学报 2010年第4期26卷 156-161页

作者：马瑞峻 Michael Short Craig Lobsey Alex McBramey Brett Whelan budiman minasny 孙光永华南农业大学工程学院广州510642 华南农业大学南方农业机械与装备关键技术省部共建教育部重点实验室广州510642 澳大利亚精确农业中心农业、食品与自然资源学院悉尼大学新南威尔士2006 湖南大学汽车车身先进设计制造国家重点实验室长沙410082

土壤在作物的生长过程中起到了重要的作用,所以对于基于决策的作物生产管理,土壤信息是必需的。传统的土壤取样获取土壤信息技术耗时且成本高,尤其是对于大规模农田土壤信息测量。目前一些近地面的可连续测量的土壤信息传感器技术能够... 详细信息

土壤在作物的生长过程中起到了重要的作用,所以对于基于决策的作物生产管理,土壤信息是必需的。传统的土壤取样获取土壤信息技术耗时且成本高,尤其是对于大规模农田土壤信息测量。目前一些近地面的可连续测量的土壤信息传感器技术能够提供高精度的数字土壤信息地图,然而这些商业化的技术成熟的传感器通常需要单独使用。该文提出了将γ射线光谱仪GR320、利用电磁感应原理的EM38和EM31以及Veris3100和VerispH这些可在农田近地面连续测量的土壤特性测试传感仪器集成在一起同时使用的方案,介绍了此集成系统的硬件设备和相关特性参数以及今后需要继续研究解决的问题。利用该系统可一次获得不同的土壤特性参数数据,如土壤矿物质含量,不同深度的土壤电导率值和土壤pH值等,可避免多次测量车辆行走对土壤的压实。多传感器数据之间的互相补充可以进一步提高且更有利于精确农业中基于土壤信息的决策规划。该系统适用于大面积农田土壤特性测量。

关键词：传感器硬件土壤精确农业

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