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Soil metabolomics:Deciphering underground metabolic webs in terrestrial ecosystems

Eco-Environment & Health 2024年第2期3卷 227-237页

作者： Yang Song Shi Yao Xiaona Li Tao Wang Xin Jiang Nanthi Bolan Charles R.Warren Trent R.Northen Scott X.Chang State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China University of Chinese Academy of Sciences Beijing 100049China School of Environment and Ecology Jiangnan UniversityWuxi 225127China Institute of Mountain Hazards and Environment Chinese Academy of SciencesChengdu 610299China School of Agriculture and Environment The University of Western AustraliaNedlandWA-6009Australia The UWA Institute of Agriculture The University of Western AustraliaNedlandWA-6009Australia Healthy Environments and Lives(HEAL)National Research Network Australia School of Life and Environmental Sciences University of SydneyHeydon-Laurence Building A08NSW 2006Australia Environmental Genomics and System Biology division Lawrence Berkeley National Laboratory1 Cyclotron RdBerkeleyCA 94720USA Joint Genome Institute Lawrence Berkeley National LaboratoryBerkeleyCA 94720USA Department of Renewable Resources University of AlbertaEdmontonAlberta T6G 2E3Canada

Soil metabolomics is an emerging approach for profiling diverse small molecule metabolites,i.e.,metabolomes,in the *** metabolites,including fatty acids,amino acids,lipids,organic acids,sugars,and volatile organic compounds,often contain essential nutrients such as nitrogen,phosphorus,and sulfur and are directly linked to soil biogeochemical cycles driven by soil *** paper presents an overview of methods for analyzing soil metabolites and the state-of-the-art of soil metabolomics in relation to soil nutrient *** describe important applications of metabolomics in studying soil carbon cycling and sequestration,and the response of soil organic pools to changing environmental *** includes using metabolomics to provide new insights into the close relationships between soil microbiome and metabolome,as well as responses of soil metabolome to plant and environmental stresses such as soil *** also highlight the advantage of using soil metabolomics to study the biogeochemical cycles of elements and suggest that future research needs to better understand factors driving soil function and health.

关键词： Dissolved organic matter Carbon cycling Metabolomes Extraction method Soil microbiome Rhizosphere ecology

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SPAM模型和遥感结合提取华北地区春夏玉米种植面积

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中国农业资源与区划 2018年第8期39卷 124-134页

作者：陈卓谢苗苗范玲玲陈浩梁社芳李正国游良志吴文斌杨鹏中国地质大学(北京)土地科学技术学院中国农业科学院农业资源与农业区划研究所/农业部农业遥感重点实验室 Environment and Production Technology division International Food Policy Research Institute 中国农业科学院—比利时根特大学全球变化与粮食安全联合实验室

[目的]获取农作物空间分布信息,对于研究区域粮食安全、气候变化、陆地碳氮循环和水资源利用等都具有重要意义。[方法]该研究首先应用作物空间分配模型(SPAM-China模型),在5’×5’栅格尺度上重建了1980—2010年华北地区玉米空间分布信... 详细信息

[目的]获取农作物空间分布信息,对于研究区域粮食安全、气候变化、陆地碳氮循环和水资源利用等都具有重要意义。[方法]该研究首先应用作物空间分配模型(SPAM-China模型),在5’×5’栅格尺度上重建了1980—2010年华北地区玉米空间分布信息;然后基于SPOT VEGETATION长时间序列NDVI数据,获取了该区域的作物熟制信息,并进一步划分出了华北地区春、夏玉米种植类型区;最后,重点分析了2000—2010年间华北地区春玉米和夏玉米种植区域的时空变化特征。[结果](1)1980—2010期间,华北地区玉米种植面积增加了360万hm2,增加面积集中在中南部地区,变化主要发生在2000年以后;(2)2000—2010期间,华北地区春玉米面积增加136万hm2,占该区玉米总种植面积的比例由17%上升至27%;夏玉米种植面积尽管也增加了87万hm2,但占该区玉米总种植面积的比重呈下降趋势;(3)春夏玉米混种区为华北地区玉米主产区,近年来呈现为春玉米增加、夏玉米减少的发展趋势,全区域92%春玉米面积增加和76%夏玉米面积减少均发生在春夏玉米混种区域内,可见该区以春玉米为代表的一熟制正呈现逐步取代以冬小麦—夏玉米为主二熟制的变化趋势。[结论]该文基于SPAM模型和遥感结合提取华北地区春、夏玉米种植面积的方法,为大区域、长时间尺度作物种植信息的获取提供了新思路。

关键词：玉米作物空间分配模型种植制度 NDVI 华北地区

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Spatiotemporal dynamics of ecosystem fires and biomass burning-induced carbon emissions in China over the past two decades

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Geography and Sustainability 2020年第1期1卷 47-58页

作者： Anping Chen Rongyun Tang Jiafu Mao Chao Yue Xiran Li Mengdi Gao Xiaoying Shi Mingzhou Jin Daniel Ricciuto Sam Rabin Phillippe Ciais Shilong Piao Department of Biology Colorado State UniversityFort CollinsCO 80523USA Graduate Degree Program in Ecology Colorado State UniversityFort CollinsCO 80523USA Department of Industrial and Systems Engineering University of TennesseeKnoxvilleTN 37996USA Environmental Sciences division and Climate Change Science Institute Oak Ridge National LaboratoryOak RidgeTN 37831USA State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau Northwest Agriculture&Forestry UniversityYanglingShanxi 712100China College of Urban and Environmental Sciences Central China Normal UniversityWuhanHubei 430079China Sino-French Institute for Earth System Science College of Urban and Environmental SciencesPeking UniversityBeijing 100871China Atmospheric Environmental Research(IMK-IFU) Institute of Meteorology and Climate ResearchKarlsruhe Institute of Technology(KIT)Kreuzeckbahnstraße 19Garmisch-Partenkirchen 82467Germany LSCE UMR CEA-CNRSBat.709CEL’Orme des MerisiersGif-sur-Yvette 91191France

Fire is a major type of disturbance that has important influences on ecosystem dynamics and carbon *** our understanding of ecosystem fires and their carbon cycle consequences is still limited,largely due to the difficulty of large-scale fire monitoring and the complex interactions between fire,vegetation,climate,and anthropogenic ***,using data from satellite-derived fire observations and ecosystem model simulations,we performed a comprehensive investigation of the spatial and temporal dynamics of China’s ecosystem fire disturbances and their carbon emissions over the past two decades(1997–2016).Satellite-derived results showed that on average about 3.47-4.53×10^(4) km^(2) of the land was burned annually during the past two decades,among which annual burned forest area was about 0.81-1.25×10^(4) km^(2),accounting for 0.33-0.51%of the forest area in *** burning emitted about 23.02 TgC per *** to satellite products,simulations from the Energy Exascale Earth System Land Model(ELM)strongly overestimated China’s burned area and fire-induced carbon *** burned area and fire-induced carbon emissions were high for boreal forest in Northeast China’s Daxing’anling region and subtropical dry forest in South Yunnan,as revealed by both the satellite product and the model *** results suggest that climate and anthropogenic factors play critical roles in controlling the spatial and seasonal distribution of China’s ecosystem fire *** findings highlight the importance of multiple complementary approaches in assessing ecosystem fire disturbance and its carbon *** studies are required to improve the methods of observing and modelling China’s ecosystem fire disturbances,which will provide valuable information for fire management and ecosystem sustainability in an era when both human activities and the natural environment are rapidly changing.

关键词： Fire emission Burned area Fire models China

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Towards a natural classification and backbone tree for Sordariomycetes

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Fungal Diversity 2015年第3期72卷 199-301页

作者： Sajeewa S.N.Maharachchikumbura Kevin D.Hyde EBGareth Jones Eric H.C.McKenzie Shi-Ke Huang Mohamed A.Abdel-Wahab Dinushani A.Daranagama Monika Dayarathne Melvina J.D’souza Ishani D.Goonasekara Sinang Hongsanan Ruvishika S.Jayawardena Paul M.Kirk Sirinapa Konta Jian-Kui Liu Zuo-Yi Liu Chada Norphanphoun Ka-Lai Pang Rekhani H.Perera Indunil C.Senanayake Qiuju Shang Belle Damodara Shenoy Yuanpin Xiao Ali H.Bahkali Jichuan Kang Sayanh Somrothipol Satinee Suetrong Tingchi Wen Jianchu Xu Guizhou Key Laboratory of Agricultural Biotechnology Guizhou Academy of Agricultural SciencesGuiyang 550006GuizhouChina Key Laboratory for Plant Biodiversity and Biogeography of East Asia(KLPB) Kunming Institute of BotanyChinese Academy of ScienceKunming 650201YunnanChina World Agroforestry Centre East and Central Asia132 Lanhei RoadKunming 650201China Institute of Excellence in Fungal Research and School of ScienceMae Fah Luang UniversityChiang Rai 57100Thailand Department of Botany and Microbiology College of ScienceKing Saud UniversityP.O.Box 2455Riyadh 11451Kingdom of Saudi Arabia Manaaki Whenua Landcare Research Private Bag 92170AucklandNew Zealand The Engineering and Research Center for Southwest Bio-Pharmaceutical Resources of National Education Ministry of China Guizhou UniversityGuiyang 550025Guizhou ProvincePeople’s Republic of China Department of Botany Faculty of ScienceSohag UniversitySohag 82524Egypt Institute of Marine Biology and Centre of Excellence for the Oceans Taiwan Ocean University2 Pei-Ning RoadKeelung 20224TaiwanRepublic of China Mycology Section Royal Botanic GardensKewLondonUK Microbe Interaction Laboratory(BMIT) National Center for Genetic Engineering and Biotechnology(BIOTEC)113 Thailand Science ParkPhahonyothin RoadKhlong NuengKhlong LuangPathum ThaniThailand Fungal Diversity Laboratory(BFBD) National Center for Genetic Engineering and Biotechnology(BIOTEC)113 Thailand Science ParkPhahonyothin RoadKhlong NuengKhlong LuangPathum ThaniThailand Biological Oceanography division CSIR-National Institute of OceanographyDona PaulaGoa 403004India Institute of Plant and Environment Protection Beijing Academy of Agriculture and Forestry SciencesNo 9 of ShuGuangHuaYuanZhangLuHaidian DistrictBeijing 100097China

Sordariomycetes is one of the largest classes of Ascomycota and is characterised by perithecial ascomata and inoperculate unitunicate *** class includes many important plant pathogens,as well as endophytes,saprobes,epiphytes,and fungicolous,lichenized or lichenicolous *** class includes freshwater,marine and terrestrial taxa and has a worldwide *** paper provides an updated outline of the Sordariomycetes and a backbone tree incorporating asexual and sexual genera in the *** on phylogeny and morphology we introduced three subclasses;Diaporthomycetidae,Lulworthiomycetidae and Meliolomycetidae and five orders;Amplistromatales,Annulatascales,Falcocladiales,Jobellisiales and *** outline is based on literature to the end of 2014 and the backbone tree published in this *** for 397 taxa with information,such as new family and genera novelties,novel molecular data published since the Outline of Ascomycota 2009,and new links between sexual and asexual genera and thus synonymies,are *** Sordariomycetes now comprises six subclasses,28 orders,90 families and 1344 *** addition a list of 829 genera with uncertain placement in Sordariomycetesis also provided.

关键词： Boliniales Calosphaeriales Chaetosphaeriales Coniochaetales Coronophorales Diaporthales Glomerellales Hypocreomycetidae Hypocreales Koralionastetales Lulworthiales Magnaporthales Melanosporales Meliolales Microascales Molecular identification Nomenclature Ophiostomatales Phyllachorales Sordariales Sordariomycetidae Taxonomy Trichosphaeriales Type species Xylariales Xylariomycetidae

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