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Oceanogr., 36, 424, 10.4319\u002Flo.1991.36.3.0424",{"doi":508},"10.4319\u002Flo.1991.36.3.0424",{"id":24,"text":510,"url":24,"identifiers":511},"Kucuksezgin, 1995, Dissolved and dispersed petroleum hydrocarbons in the Aegean Sea, Toxicol. Environ. Chem., 52, 85, 10.1080\u002F02772249509358251",{"doi":512},"10.1080\u002F02772249509358251",{"id":24,"text":514,"url":24,"identifiers":515},"Larsson, 2000, Persistent organic pollutants (POPs) in pelagic systems, Ambio, 29, 202, 10.1579\u002F0044-7447-29.4.202",{"doi":516},"10.1579\u002F0044-7447-29.4.202",{"id":24,"text":518,"url":24,"identifiers":519},"Lasternas, 2010, Phyto- and bacterioplankton abundance and viability and their relationship with phosphorus across the Mediterranean Sea, Aquat. Microb. Ecol., 60, 175, 10.3354\u002Fame01421",{"doi":520},"10.3354\u002Fame01421",{"id":24,"text":522,"url":24,"identifiers":523},"Lei, 2002, Removal of pyrene by different microalgal species, Water Sci. Technol., 46, 195, 10.2166\u002Fwst.2002.0738",{"doi":524},"10.2166\u002Fwst.2002.0738",{"id":24,"text":526,"url":24,"identifiers":527},"Lei, 2007, Removal of fluoranthene and pyrene by different microalgal species, Bioresour. Technol., 98, 273, 10.1016\u002Fj.biortech.2006.01.012",{"doi":528},"10.1016\u002Fj.biortech.2006.01.012",{"id":24,"text":530,"url":24,"identifiers":531},"Lipiatou, 1991, Fluxes and transport of anthropogenic and natural polycyclic aromatic hydrocarbons in the western Mediterranean Sea, Mar. Chem., 32, 51, 10.1016\u002F0304-4203(91)90025-R",{"doi":532},"10.1016\u002F0304-4203(91)90025-R",{"id":24,"text":534,"url":24,"identifiers":535},"Lipiatou, 1993, Sediment trap fluxes of polycyclic aromatic hydrocarbons in the Mediterranean Sea, Mar. Chem., 44, 43, 10.1016\u002F0304-4203(93)90005-9",{"doi":536},"10.1016\u002F0304-4203(93)90005-9",{"id":24,"text":538,"url":24,"identifiers":539},"Lipiatou, 1997, Mass budget and dynamics of polycyclic aromatic hydrocarbons in the Mediterranean Sea, Deep Sea Res., Part II, 44, 881, 10.1016\u002FS0967-0645(96)00093-8",{"doi":540},"10.1016\u002FS0967-0645(96)00093-8",{"id":24,"text":542,"url":24,"identifiers":543},"Maldonado, 1999, Sources, distribution, and water column processes of aliphatic and polycyclic aromatic hydrocarbons in the northwestern Black Sea Water, Environ. Sci. Technol., 33, 2693, 10.1021\u002Fes9811647",{"doi":544},"10.1021\u002Fes9811647",{"id":24,"text":546,"url":24,"identifiers":547},"Martí, 2001, A potential source for organic pollutants into the northeastern Atlantic: The outflow of the Mediterranean deep-lying waters through the Gibraltar Strait, Environ. Sci. Technol., 35, 2682, 10.1021\u002Fes000258p",{"doi":548},"10.1021\u002Fes000258p",{"id":24,"text":550,"url":24,"identifiers":551},"Millot, 2005, The Mediterranean Sea, 5, 29, 10.1007\u002Fb107143",{"doi":552},"10.1007\u002Fb107143",{"id":24,"text":554,"url":24,"identifiers":555},"Nizzetto, 2008, PAHs in air and seawater along a north-south Atlantic transect: Trends, processes and possible sources, Environ. Sci. Technol., 42, 1580, 10.1021\u002Fes0717414",{"doi":556},"10.1021\u002Fes0717414",{"id":24,"text":558,"url":24,"identifiers":559},"Oguz, 2001, Modeling the response of top-down control exerted by gelatinous carnivores on the Black Sea pelagic food web, J. Geophys. Res., 106, 4543, 10.1029\u002F1999JC000078",{"doi":560},"10.1029\u002F1999JC000078",{"id":24,"text":562,"url":24,"identifiers":563},"Pane, 2005, Polycyclic aromatic hydrocarbons in water, seston and copepods in a harbour area in the western Mediterranean (Ligurian Sea), Mar. Ecol. Berlin, 26, 89, 10.1111\u002Fj.1439-0485.2005.00042.x",{"doi":564},"10.1111\u002Fj.1439-0485.2005.00042.x",{"id":24,"text":566,"url":24,"identifiers":567},"Pitta, 2001, Planktonic ciliates in the oligotrophic Mediterranean Sea: Longitudinal trends of standing stocks, distributions and analysis of food vacuole contents, Aquat. Microb. Ecol., 24, 297, 10.3354\u002Fame024297",{"doi":568},"10.3354\u002Fame024297",{"id":24,"text":570,"url":24,"identifiers":571},"Regaudie-de-Gioux, 2009, Patterns in planktonic metabolism in the Mediterranean Sea, Biogeosciences, 6, 3081, 10.5194\u002Fbg-6-3081-2009",{"doi":572},"10.5194\u002Fbg-6-3081-2009",{"id":24,"text":574,"url":24,"identifiers":575},"Semple, 1999, Mini review: Biodegradation of aromatic compounds by microalgae, FEMS Microbiol. Lett., 170, 291, 10.1111\u002Fj.1574-6968.1999.tb13386.x",{"doi":576},"10.1111\u002Fj.1574-6968.1999.tb13386.x",{"id":24,"text":578,"url":24,"identifiers":579},"Siokou-Frangou, 2002, Carbon flow in the planktonic food web along a gradient of oligotrophy in the Aegean Sea (Mediterranean Sea), J. Mar. Syst., 33-34, 335, 10.1016\u002FS0924-7963(02)00065-9",{"doi":580},"10.1016\u002FS0924-7963(02)00065-9",{"id":24,"text":582,"url":24,"identifiers":583},"Skei, 2000, Euthrophication and contaminants in aquatic ecosystems, Ambio, 29, 184, 10.1579\u002F0044-7447-29.4.184",{"doi":584},"10.1579\u002F0044-7447-29.4.184",{"id":24,"text":586,"url":24,"identifiers":587},"Taylor, 1991, Organochlorine concentrations in the plankton of lakes in southern Ontario and their relationship to plankton biomass, Can. J. Fish. Aquat. 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Technol., 40, 4922, 10.1021\u002Fes060487x",{"doi":600},"10.1021\u002Fes060487x",{"id":24,"text":602,"url":24,"identifiers":603},"Turley, 2000, Relationship between primary producers and bacteria in an oligotrophic sea-The Mediterranean and biogeochemical implications, Mar. Ecol. Prog. Ser., 193, 11, 10.3354\u002Fmeps193011",{"doi":604},"10.3354\u002Fmeps193011",{"id":24,"text":606,"url":24,"identifiers":607},"Valiela, 1995, Marine Ecological Processes, 10.1007\u002F978-1-4757-4125-4",{"doi":608},"10.1007\u002F978-1-4757-4125-4",{"id":24,"text":610,"url":24,"identifiers":611},"Yilmaz, 1991, Transport of dissolved\u002Fdispersed petroleum hydrocarbons in the northeastern Mediterranean, Toxicol. Environ. Chem., 31, 187, 10.1080\u002F02772249109357688",{"doi":612},"10.1080\u002F02772249109357688",false,{"id":615,"createTime":616,"updateTime":617,"relativeEntities":618,"slug":619,"properties":620,"entityType":208,"verifyStatus":209,"verifyTime":616,"verifyNote":210,"languages":636,"translateLanguages":637,"viewCount":25,"primaryUrl":639,"fullTextUrl":24,"authors":640,"publicationType":365,"publisherRelationship":675,"citationCount":736,"citationInfo":737,"publishDate":752,"publishYear":738,"citationAnalyzeStatus":437,"lastCitationAnalyze":753,"indexDatabases":754,"openAccess":24,"references":755,"isForceReanalyzing":613},"4c5c59fd-9d2b-436a-8093-1d9f73ea6f0c","2024-09-18T01:04:21.654+00:00","2025-10-24T16:39:08.417+00:00",[],"Emission-of-trace-gases-and-aerosols-from-biomass-burning",{"mag":621,"gsPaper":623,"keywords":624,"openalex":626,"abstract":628,"title":631,"doi":634},{"VOID":622},"2044499383",{"VOID":205},{"VI":625},"đốt sinh khối, phát thải khí, hóa học khí quyển, hệ số phát thải, kỹ thuật ngoại suy, cháy rừng, mô hình hóa ngược",{"VOID":627},"W2044499383",{"EN":629,"VI":630},"\u003Cjats:p>A large body of information on emissions from the various types of biomass burning has been accumulated over the past decade, to a large extent as a result of International Geosphere‐Biosphere Programme\u002FInternational Global Atmospheric Chemistry research activities. Yet this information has not been readily accessible to the atmospheric chemistry community because it was scattered over a large number of publications and reported in numerous different units and reference systems. We have critically evaluated the presently available data and integrated these into a consistent format. On the basis of this analysis we present a set of emission factors for a large variety of species emitted from biomass fires. Where data were not available, we have proposed estimates based on appropriate extrapolation techniques. We have derived global estimates of pyrogenic emissions for important species emitted by the various types of biomass burning and compared our estimates with results from inverse modeling studies.\u003C\u002Fjats:p>","\u003Cjats:p>Trong thập kỷ qua, một kho thông tin lớn về phát thải từ các loại đốt sinh khối khác nhau đã được tích lũy, phần lớn là kết quả từ các hoạt động nghiên cứu của Chương trình Địa cầu Sinh học Quốc tế\u002F Hóa học Khí quyển Toàn cầu Quốc tế. Tuy nhiên, thông tin này chưa sẵn có một cách dễ dàng đối với cộng đồng hóa học khí quyển vì nó bị phân tán trên một số lượng lớn các tài liệu và được báo cáo bằng nhiều đơn vị và hệ thống tham chiếu khác nhau. Chúng tôi đã đánh giá một cách có phê phán những dữ liệu hiện có và tích hợp chúng vào một định dạng nhất quán. Dựa trên phân tích này, chúng tôi trình bày một tập hợp các hệ số phát thải cho một loạt các loại chất phát thải từ các vụ cháy sinh khối. Trong những trường hợp dữ liệu không có sẵn, chúng tôi đã đề xuất các ước lượng dựa trên các kỹ thuật ngoại suy thích hợp. Chúng tôi đã đưa ra các ước lượng toàn cầu về phát thải từ cháy rừng đối với các loại chất quan trọng phát thải từ những kiểu đốt sinh khối khác nhau và so sánh các ước lượng của chúng tôi với kết quả từ các nghiên cứu mô hình hóa ngược.\u003C\u002Fjats:p>",{"EN":632,"VI":633},"Emission of trace gases and aerosols from biomass burning","Sự phát thải của các khí vi lượng và hạt bụi từ việc đốt sinh khối",{"VOID":635},"10.1029\u002F2000gb001382",[212],[638],"VI","https:\u002F\u002Fagupubs.onlinelibrary.wiley.com\u002Fdoi\u002F10.1029\u002F2000GB001382",[641,660],{"id":642,"sortIndex":25,"researcher":24,"roles":643,"affiliations":644,"properties":653,"displayName":657,"givenName":24,"familyName":24},"6aba5bf6-d806-4f5c-8b3c-aaddb0fa8e39",[],[645],{"id":646,"sortIndex":25,"affiliation":647,"properties":24},"0bc7d7f8-9964-4982-b16d-323a9881f1ce",{"id":646,"createTime":24,"updateTime":24,"relativeEntities":648,"slug":24,"properties":649,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":652,"statistic":24},[],{"title":650},{"EN":651},"Biogeochemistry, Max Planck Institute for Chemistry, Max Planck Society",[],{"orcid":654,"title":656,"openalex":658},{"VOID":655},"https:\u002F\u002Forcid.org\u002F0000-0003-1968-7925",{"EN":657},"Meinrat O. 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R., 1996, Biomass Burning and Global Change, 834",{},{"id":24,"text":851,"url":24,"identifiers":852},"10.1029\u002F1998GL900042",{"doi":851},{"id":24,"text":854,"url":24,"identifiers":855},"Connors V. S., 1996, Biomass Burning and Global Change, 99",{},{"id":24,"text":857,"url":24,"identifiers":858},"10.1126\u002Fscience.250.4988.1669",{"doi":857},{"id":24,"text":860,"url":24,"identifiers":861},"10.1038\u002F282253a0",{"doi":860},{"id":24,"text":863,"url":24,"identifiers":864},"10.1016\u002FS1352-2310(99)00482-3",{"doi":863},{"id":24,"text":866,"url":24,"identifiers":867},"10.1021\u002Fes00104a003",{"doi":866},{"id":24,"text":869,"url":24,"identifiers":870},"De Angelis D. G. D. S.Ruffin R. B.Rezink Preliminary characterization of emissions from wood‐fired residential combustion equipmentRep. EPA‐600\u002F2‐80‐042bU.S. Environ. Prot. Agency Washington D. 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M., 1993, Fire in the Environment: The Ecological, Atmospheric, and Climatic Importance of Vegetation Fires, 15",{},{"id":24,"text":1040,"url":24,"identifiers":1041},"Lobert J. M., 1991, Global Biomass Burning: Atmospheric, Climatic and Biospheric Implications, 289, 10.7551\u002Fmitpress\u002F3286.003.0041",{"doi":1042},"10.7551\u002Fmitpress\u002F3286.003.0041",{"id":24,"text":1044,"url":24,"identifiers":1045},"10.1029\u002F1998JD100077",{"doi":1044},{"id":24,"text":1047,"url":24,"identifiers":1048},"Ludwig J., 2001, Combustion of biomass fuels in developing countries—A major source of atmospheric pollutants, J. Atmos. Chem.",{},{"id":24,"text":1050,"url":24,"identifiers":1051},"Manö S. Messung von partiell oxidierten Kohlenwasserstoffen in Emissionen von Biomasseverbrennung Ph.D. thesis 120 pp. Goethe‐Univ. Frankfurt Germany 1995.",{},{"id":24,"text":1053,"url":24,"identifiers":1054},"10.1126\u002Fscience.263.5151.1255",{"doi":1053},{"id":24,"text":1056,"url":24,"identifiers":1057},"Martins J. V., 1996, Biomass Burning and Global Change, 716",{},{"id":24,"text":1059,"url":24,"identifiers":1060},"10.1007\u002FBF00708180",{"doi":1059},{"id":24,"text":1062,"url":24,"identifiers":1063},"Mayol‐Bracero O. L., 2001, Carbonaceous aerosols over the Indian Ocean during INDOEX: Chemical characterization, optical properties, and probable sources, J. Geophys. Res.",{},{"id":24,"text":1065,"url":24,"identifiers":1066},"Miner S. Preliminary air pollution survey of ammoniaRep. APTD‐69‐25 39Natl. Air Pollut. Control Admin. Raleigh N. 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F., 1988, Aerosols and Climate, 411",{},{"id":24,"text":1101,"url":24,"identifiers":1102},"Radke L. F. J. H.Lyons P. V.Hobbs D. A.Hegg D. V.Sandberg D. E.Ward Airborne monitoring and smoke characterization of prescribed fires on forest lands in western Washington and OregonTech. Rep. PNW‐GTR‐251 81For. Serv. U.S. Dep. of Agric. Portland Ore. 1990.",{"doi":1103},"10.2737\u002FPNW-GTR-251",{"id":24,"text":1105,"url":24,"identifiers":1106},"Radke L. F., 1991, Global Biomass Burning: Atmospheric, Climatic and Biospheric Implications, 209, 10.7551\u002Fmitpress\u002F3286.003.0032",{"doi":1107},"10.7551\u002Fmitpress\u002F3286.003.0032",{"id":24,"text":1109,"url":24,"identifiers":1110},"10.1029\u002FJC085iC12p07350",{"doi":1109},{"id":24,"text":1112,"url":24,"identifiers":1113},"10.1029\u002FJD091iD10p10865",{"doi":1112},{"id":24,"text":1115,"url":24,"identifiers":1116},"10.1029\u002F98JD00458",{"doi":1115},{"id":24,"text":1118,"url":24,"identifiers":1119},"10.1029\u002F2000JD900695",{"doi":1118},{"id":24,"text":1121,"url":24,"identifiers":1122},"10.1021\u002Fes00003a034",{"doi":1121},{"id":24,"text":1124,"url":24,"identifiers":1125},"Rogers C. F., 1991, Global Biomass Burning: Atmospheric, Climatic and Biospheric Implications, 431, 10.7551\u002Fmitpress\u002F3286.003.0061",{"doi":1126},"10.7551\u002Fmitpress\u002F3286.003.0061",{"id":24,"text":1128,"url":24,"identifiers":1129},"10.1007\u002FBF00708182",{"doi":1128},{"id":24,"text":1131,"url":24,"identifiers":1132},"Schauer J. J. Source contributions to atmospheric organic compound concentrations: Emission measurements and model predictions Ph.D. thesis Calif. Inst. of Technol. Pasadena Calif. 1988.",{},{"id":24,"text":1134,"url":24,"identifiers":1135},"10.1579\u002F0044-7447-29.1.23",{"doi":1134},{"id":24,"text":1137,"url":24,"identifiers":1138},"Scholes M., 2001, Atmospheric Chemistry in a Changing World",{},{"id":24,"text":1140,"url":24,"identifiers":1141},"10.1007\u002FBF00546761",{"doi":1140},{"id":24,"text":1143,"url":24,"identifiers":1144},"10.1029\u002F96JD01623",{"doi":1143},{"id":24,"text":1146,"url":24,"identifiers":1147},"10.1007\u002F978-3-642-75395-4_13",{"doi":1146},{"id":24,"text":1149,"url":24,"identifiers":1150},"10.1007\u002FBF00137988",{"doi":1149},{"id":24,"text":1152,"url":24,"identifiers":1153},"10.1029\u002F93JD00764",{"doi":1152},{"id":24,"text":1155,"url":24,"identifiers":1156},"10.1016\u002FS1352-2310(99)00380-5",{"doi":1155},{"id":24,"text":1158,"url":24,"identifiers":1159},"10.1080\u002F00139157.1988.9930921",{"doi":1158},{"id":24,"text":1161,"url":24,"identifiers":1162},"10.1016\u002F0045-6535(93)90440-G",{"doi":1161},{"id":24,"text":1164,"url":24,"identifiers":1165},"10.1016\u002F0004-6981(81)90127-X",{"doi":1164},{"id":24,"text":1167,"url":24,"identifiers":1168},"10.1016\u002FS0360-5442(99)00030-4",{"doi":1167},{"id":24,"text":1170,"url":24,"identifiers":1171},"Susott R. A. D. E.Ward R. E.Babbitt D. J.Latham L. G.Weger P. M.Boyd Fire dynamics and chemistry of large fires final report 39For. Serv. U.S. Dep. of Aric. Missoula Mont. 1990.",{},{"id":24,"text":1173,"url":24,"identifiers":1174},"10.1029\u002F95JD03630",{"doi":1173},{"id":24,"text":1176,"url":24,"identifiers":1177},"10.1029\u002F96JD01463",{"doi":1176},{"id":24,"text":1179,"url":24,"identifiers":1180},"Vose J. M., 1996, Biomass Burning and Global Change, 733",{},{"id":24,"text":1182,"url":24,"identifiers":1183},"Ward D. C.Hardy Advances in the characterization and control of emissions from prescribed broadcast fires of coniferous species logging slash on clearcut units final reportU.S. Environ. Prot. Agency Missoula Mont. 1986.",{},{"id":24,"text":1185,"url":24,"identifiers":1186},"Ward D. E. C. C.Hardy Emissions from prescribed chaparral burningAnnual MeetingAir and Waste Manage. Assoc.Anaheim Calif. 1989.",{},{"id":24,"text":1188,"url":24,"identifiers":1189},"10.1016\u002F0160-4120(91)90095-8",{"doi":1188},{"id":24,"text":1191,"url":24,"identifiers":1192},"Ward D. E. R. A.Susott R. E.Babbitt C. C.Hardy Properties and concentration of smoke near the ground from biomass field testsSymposium on Smoke\u002FObscurants XIVLaurel Md.April 17–19 1990.",{},{"id":24,"text":1194,"url":24,"identifiers":1195},"Ward D. E., 1991, Global Biomass Burning: Atmospheric, Climatic, and Biospheric Implications, 394, 10.7551\u002Fmitpress\u002F3286.003.0056",{"doi":1196},"10.7551\u002Fmitpress\u002F3286.003.0056",{"id":24,"text":1198,"url":24,"identifiers":1199},"10.1029\u002F95JD02595",{"doi":1198},{"id":24,"text":1201,"url":24,"identifiers":1202},"10.1029\u002F92JD01218",{"doi":1201},{"id":24,"text":1204,"url":24,"identifiers":1205},"10.1175\u002F1520-0469(1967)024\u003C0704:TPOCNB>2.0.CO;2",{"doi":1204},{"id":24,"text":1207,"url":24,"identifiers":1208},"10.1029\u002FJD095iD10p16443",{"doi":1207},{"id":24,"text":1210,"url":24,"identifiers":1211},"10.1029\u002F92JD00622",{"doi":1210},{"id":24,"text":1213,"url":24,"identifiers":1214},"10.1029\u002F96JD02982",{"doi":1213},{"id":24,"text":1216,"url":24,"identifiers":1217},"10.1016\u002FS1352-2310(99)00329-5",{"doi":1216},{"id":24,"text":1219,"url":24,"identifiers":1220},"10.1029\u002F96JD01800",{"doi":1219},{"id":24,"text":1222,"url":24,"identifiers":1223},"10.1029\u002F97JD00852",{"doi":1222},{"id":24,"text":1225,"url":24,"identifiers":1226},"10.1029\u002F1999JD900817",{"doi":1225},{"id":24,"text":1228,"url":24,"identifiers":1229},"Zhang J., 1996, Hydrocarbon emissions and health risks from cookstoves in developing countries, J. Expo. Anal. Environ. 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We contend that by revising the representation of microbial processes and their interactions with the physicochemical soil environment, Earth system models (ESMs) will make more realistic global C cycle projections. Explicit representation of microbial processes presents considerable challenges due to the scale at which these processes occur. Thus, applying microbial theory in ESMs requires a framework to link micro‐scale process‐level understanding and measurements to macro‐scale models used to make decadal‐ to century‐long projections. Here we review the diversity, advantages, and pitfalls of simulating soil biogeochemical cycles using microbial‐explicit modeling approaches. 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This paper presents an analysis of the iron budget in the upper ocean. The global distribution of annual iron assimilation by phytoplankton was estimated from distributions of satellite‐derived oceanic primary production and measured (Fe:C)\u003Cjats:sub>cellular\u003C\u002Fjats:sub> ratios. The distributions of iron supply by upwelling\u002Fmixing and aeolian deposition were obtained by applying (Fe:NO\u003Cjats:sub>3\u003C\u002Fjats:sub>)\u003Cjats:sub>dissolved\u003C\u002Fjats:sub> ratios to the nitrate supply and by assuming the soluble fraction of mineral aerosols. A lower bound on the rate of iron recycling in the photic zone was estimated as the difference between iron assimilation and supply. Global iron assimilation by phytoplankton for the open ocean was estimated to be 12 × 10\u003Cjats:sup>9\u003C\u002Fjats:sup> mol Fe yr\u003Cjats:sup>−1\u003C\u002Fjats:sup>. Atmospheric deposition of total Fe is estimated to be 96×10\u003Cjats:sup>9\u003C\u002Fjats:sup> mol Fe yr\u003Cjats:sup>−1\u003C\u002Fjats:sup> in the open ocean, with the soluble Fe fraction ranging between 1 and 10% (or 1‐10 ×10\u003Cjats:sup>9\u003C\u002Fjats:sup> mol Fe yr\u003Cjats:sup>−1\u003C\u002Fjats:sup>). By comparison, the upwelling\u002Fentrainment supply of dissolved Fe to the upper ocean is small, ∼0.7×10\u003Cjats:sup>9\u003C\u002Fjats:sup> mol Fe yr\u003Cjats:sup>−1\u003C\u002Fjats:sup>. Uncertainties in the aeolian flux and assimilation may be as large as a factor of 5‐10 but remain difficult to quantify, as information is limited about the form and transformation of iron from the soil to phytoplankton incorporation. An iron stress index, relating the (Fe:N) demand to the (Fe :N) supply, confirms the production in the high‐nitrate low‐chlorophyll regions is indeed limited by iron availability.\u003C\u002Fjats:p>",{"EN":2206},"Iron supply and demand in the upper ocean",{"VOID":2208},"10.1029\u002F1999gb900059",[212],"https:\u002F\u002Fagupubs.onlinelibrary.wiley.com\u002Fdoi\u002F10.1029\u002F1999GB900059",[2212,2231,2248,2267,2286,2303],{"id":2213,"sortIndex":25,"researcher":24,"roles":2214,"affiliations":2215,"properties":2224,"displayName":2228,"givenName":24,"familyName":24},"8e5852e5-2c45-41d9-9c89-5073beb600e4",[],[2216],{"id":2217,"sortIndex":25,"affiliation":2218,"properties":24},"43cec2d0-15b1-4695-83f0-5e0f0010e614",{"id":2217,"createTime":24,"updateTime":24,"relativeEntities":2219,"slug":24,"properties":2220,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":2223,"statistic":24},[],{"title":2221},{"EN":2222},"Center for Atmospheric Sciences, University of California, Berkeley.",[],{"orcid":2225,"title":2227,"openalex":2229},{"VOID":2226},"https:\u002F\u002Forcid.org\u002F0000-0003-4106-9875",{"EN":2228},"Inez Fung",{"VOID":2230},"A5009144793",{"id":2232,"sortIndex":123,"researcher":24,"roles":2233,"affiliations":2234,"properties":2243,"displayName":2245,"givenName":24,"familyName":24},"12067c36-39d2-4081-985d-f3afc54b628d",[],[2235],{"id":2236,"sortIndex":25,"affiliation":2237,"properties":24},"8e20219b-d86c-4c18-b39b-177a3162cff5",{"id":2236,"createTime":24,"updateTime":24,"relativeEntities":2238,"slug":24,"properties":2239,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":2242,"statistic":24},[],{"title":2240},{"VI":2241},"Department of Geography, University of British Columbia, Vancouver, B.C. 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In this paper we describe the development of an isotope model (ISOLSM) that simulates the \u003Cjats:sup>18\u003C\u002Fjats:sup>O content of canopy water vapor, leaf water, and vertically resolved soil water; leaf photosynthetic \u003Cjats:sup>18\u003C\u002Fjats:sup>OC\u003Cjats:sup>16\u003C\u002Fjats:sup>O (hereinafter C\u003Cjats:sup>18\u003C\u002Fjats:sup>OO) fluxes; CO\u003Cjats:sub>2\u003C\u002Fjats:sub> oxygen isotope exchanges with soil and leaf water; soil CO\u003Cjats:sub>2\u003C\u002Fjats:sub> and C\u003Cjats:sup>18\u003C\u002Fjats:sup>OO diffusive fluxes (including abiotic soil exchange); and ecosystem exchange of H\u003Cjats:sub>2\u003C\u002Fjats:sub>\u003Cjats:sup>18\u003C\u002Fjats:sup>O and C\u003Cjats:sup>18\u003C\u002Fjats:sup>OO with the atmosphere. The isotope model is integrated into the land surface model LSM, but coupling with other models should be straightforward. We describe ISOLSM and apply it to evaluate (1) simplified methods of predicting the C\u003Cjats:sup>18\u003C\u002Fjats:sup>OO soil‐surface flux; (2) the impacts on the C\u003Cjats:sup>18\u003C\u002Fjats:sup>OO soil‐surface flux of the soil‐gas diffusion coefficient formulation, soil CO\u003Cjats:sub>2\u003C\u002Fjats:sub> source distribution, and rooting distribution; (3) the impacts on the C\u003Cjats:sup>18\u003C\u002Fjats:sup>OO fluxes of carbonic anhydrase (CA) activity in soil and leaves; and (4) the sensitivity of model predictions to the δ\u003Cjats:sup>18\u003C\u002Fjats:sup>O value of atmospheric water vapor and CO\u003Cjats:sub>2\u003C\u002Fjats:sub>. Previously published simplified models are unable to capture the seasonal and diurnal variations in the C\u003Cjats:sup>18\u003C\u002Fjats:sup>OO soil‐surface fluxes simulated by ISOLSM. Differences in the assumed soil CO\u003Cjats:sub>2\u003C\u002Fjats:sub> production and rooting depth profiles, carbonic anhydrase activity in soil and leaves, and the δ\u003Cjats:sup>18\u003C\u002Fjats:sup>O value of atmospheric water vapor have substantial impacts on the ecosystem CO\u003Cjats:sub>2\u003C\u002Fjats:sub> flux isotopic composition. We conclude that accurate prediction of C\u003Cjats:sup>18\u003C\u002Fjats:sup>OO ecosystem fluxes requires careful representation of H\u003Cjats:sub>2\u003C\u002Fjats:sub>\u003Cjats:sup>18\u003C\u002Fjats:sup>O and C\u003Cjats:sup>18\u003C\u002Fjats:sup>OO exchanges and transport in soils and plants.\u003C\u002Fjats:p>",{"EN":2901},"A mechanistic model of H\u003Csub>2\u003C\u002Fsub>\u003Csup>18\u003C\u002Fsup>O and C\u003Csup>18\u003C\u002Fsup>OO fluxes between ecosystems and the atmosphere: Model description and sensitivity analyses",{"VOID":2903},"10.1029\u002F2002gb001878",[212],"https:\u002F\u002Fagupubs.onlinelibrary.wiley.com\u002Fdoi\u002F10.1029\u002F2002GB001878",[2907,2924,2951,2968],{"id":2908,"sortIndex":25,"researcher":24,"roles":2909,"affiliations":2910,"properties":2917,"displayName":2921,"givenName":24,"familyName":24},"8b81bdb1-00cd-4e73-aa1a-67cc717dc10a",[],[2911],{"id":1340,"sortIndex":25,"affiliation":2912,"properties":24},{"id":1340,"createTime":24,"updateTime":24,"relativeEntities":2913,"slug":24,"properties":2914,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":2916,"statistic":24},[],{"title":2915},{"VI":1345},[],{"orcid":2918,"title":2920,"openalex":2922},{"VOID":2919},"https:\u002F\u002Forcid.org\u002F0000-0002-4615-2304",{"EN":2921},"W. 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The Dole effect reflects oxygen isotope fractionation during photosynthesis, respiration, and hydrologic processes (evaporation, precipitation, and evapotranspiration). Our best prediction of the present‐day Dole effect, +20.8‰, is considerably lower than the observed value, +23.5‰, and we discuss possible causes of this discrepancy. During the past 130 kyr, the Dole effect has been 0.05‰ lower than the present value, on average. The standard deviation of the Dole effect from the mean has been only ±0.2‰, and the Dole effect is nearly unchanged between glacial maxima and interglacial periods. The small variability in the Dole effect suggests that relative rates of primary production in the land and marine realms have been relatively constant. 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This study investigates the temperature sensitivity of C mineralization, N mineralization, and potential enzyme activities involved in the C and N cycle (tyrosine amino‐peptidase, leucine amino‐peptidase, ß‐glucosidase, ß‐xylosidase, \u003Cjats:italic>N\u003C\u002Fjats:italic>‐acetyl‐ß‐glucosaminidase). Four different study sites in the Austrian alpine zone were selected, and soils were sampled in three seasons (summer, autumn, and winter). A simple first‐order exponential equation was used to calculate constant \u003Cjats:italic>Q\u003C\u002Fjats:italic>\u003Cjats:sub>10\u003C\u002Fjats:sub> values for the C and N mineralization over the investigated temperature range (0–30°C). The \u003Cjats:italic>Q\u003C\u002Fjats:italic>\u003Cjats:sub>10\u003C\u002Fjats:sub> values of the C mineralization (average 2.0) for all study sites were significantly higher than for the N mineralization (average 1.7). The \u003Cjats:italic>Q\u003C\u002Fjats:italic>\u003Cjats:sub>10\u003C\u002Fjats:sub> values of both activities were significantly negatively related to a soil organic matter quality index calculated by the ratios of respiration to the organic soil carbon and mineralized N to the total soil nitrogen. The chemical soil properties or microbial biomass did not affect the \u003Cjats:italic>Q\u003C\u002Fjats:italic>\u003Cjats:sub>10\u003C\u002Fjats:sub> values of C and N mineralization. Moreover, the \u003Cjats:italic>Q\u003C\u002Fjats:italic>\u003Cjats:sub>10\u003C\u002Fjats:sub> values showed no distinct pattern according to sampling date, indicating that the substrate quality and other factors are more important. Using a flexible model function, the analysis of relative temperature sensitivity (\u003Cjats:italic>RTS\u003C\u002Fjats:italic>) showed that the temperature sensitivity of activities increased with decreasing temperature. The C and N mineralization and potential amino‐peptidase activities (tyrosine and leucine) showed an almost constant temperature dependence over 0–30°C. In contrast, ß‐glucosidase, ß‐xylosidase, and \u003Cjats:italic>N\u003C\u002Fjats:italic>‐acetyl‐ß‐glucosaminidase showed a distinctive increase in temperature sensitivity with decreasing temperature. Low temperature at the winter sampling date caused a greater increase in the \u003Cjats:italic>RTS\u003C\u002Fjats:italic> of all microbial activities than for the autumn and summer sampling dates. Our results indicate (1) a disproportion of the \u003Cjats:italic>RTS\u003C\u002Fjats:italic> for potential enzyme activities of the C and N cycle and (2) a disproportion of the \u003Cjats:italic>RTS\u003C\u002Fjats:italic> for easily degradable C compounds (ß‐glucose, ß‐xylose) compared with the C mineralization of soil organic matter. Thus temperature may play an important role in regulating the decay of different soil organic matter fractions due to differences in the relative temperature sensitivities of enzyme activities.\u003C\u002Fjats:p>",{"EN":3553},"Temperature sensitivity of microbial respiration, nitrogen mineralization, and potential soil enzyme activities in organic alpine 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of the main causes of the low efficiency in nitrogen (N) use by crops is the volatilization of ammonia (NH\u003Cjats:sub>3\u003C\u002Fjats:sub>) from fertilizers. Information taken from 1667 NH\u003Cjats:sub>3\u003C\u002Fjats:sub>volatilization measurements documented in 148 research papers was summarized to assess the influence on NH\u003Cjats:sub>3\u003C\u002Fjats:sub>volatilization of crop type, fertilizer type, and rate and mode of application and temperature, as well as soil organic carbon, texture, pH, CEC, measurement technique, and measurement location. The data set was summarized in three ways: (1) by calculating means for each of the factors mentioned, in which findings from each research paper were weighted equally; (2) by calculating weighted median values corrected for unbalanced features of the collected data; and (3) by developing a summary model using linear regression based on weighted median values for NH\u003Cjats:sub>3\u003C\u002Fjats:sub>volatilization and by calculating global NH\u003Cjats:sub>3\u003C\u002Fjats:sub>volatilization losses from fertilizer application using 0.5° resolution data on land use and soils. The calculated median NH\u003Cjats:sub>3\u003C\u002Fjats:sub>loss from global application of synthetic N fertilizers (78 million tons N per year) and animal manure (33 million tons N per year) amount to 14% (10–19%) and 23% (19–29%), respectively. In developing countries, because of high temperatures and the widespread use of urea, ammonium sulfate, and ammonium bicarbonate, estimated NH\u003Cjats:sub>3\u003C\u002Fjats:sub>volatilization loss from synthetic fertilizers amounts to 18%, and in industrialized countries it amounts to 7%. The estimated NH\u003Cjats:sub>3\u003C\u002Fjats:sub>loss from animal manure is 21% in industrialized and 26% in developing countries.\u003C\u002Fjats:p>","\u003Cjats:p>Một trong những nguyên nhân chính dẫn đến hiệu suất sử dụng nitơ (N) thấp ở cây trồng là sự bay hơi của amoniac (NH\u003Cjats:sub>3\u003C\u002Fjats:sub>) từ phân bón. Thông tin được lấy từ 1667 phép đo sự bay hơi NH\u003Cjats:sub>3\u003C\u002Fjats:sub> được ghi trong 148 tài liệu nghiên cứu đã được tóm tắt để đánh giá ảnh hưởng đến sự bay hơi NH\u003Cjats:sub>3\u003C\u002Fjats:sub> của loại cây trồng, loại phân bón, cùng lượng và cách thức áp dụng, nhiệt độ, cũng như carbon hữu cơ trong đất, kết cấu, pH, CEC, phương pháp đo lường và vị trí đo lường. Bộ dữ liệu đã được tóm tắt theo ba cách: (1) bằng cách tính trung bình cho mỗi yếu tố được đề cập, trong đó các kết quả từ mỗi tài liệu nghiên cứu có trọng số như nhau; (2) bằng cách tính giá trị trung bình có trọng số được điều chỉnh cho các đặc điểm không cân bằng của dữ liệu thu thập; và (3) bằng cách phát triển một mô hình tóm tắt sử dụng hồi quy tuyến tính dựa trên giá trị trung bình có trọng số về sự bay hơi NH\u003Cjats:sub>3\u003C\u002Fjats:sub> và bằng cách tính tổn thất bay hơi NH\u003Cjats:sub>3\u003C\u002Fjats:sub> toàn cầu từ việc áp dụng phân bón với dữ liệu có độ phân giải 0.5° về sử dụng đất và đất đai. Tổn thất trung bình tính được của NH\u003Cjats:sub>3\u003C\u002Fjats:sub> từ việc áp dụng phân N tổng hợp toàn cầu (78 triệu tấn N mỗi năm) và phân động vật (33 triệu tấn N mỗi năm) tương ứng là 14% (10–19%) và 23% (19–29%). Ở các nước đang phát triển, do nhiệt độ cao và việc sử dụng phổ biến urê, amoni sulfat, và amoni bicarbonat, tổn thất bay hơi NH\u003Cjats:sub>3\u003C\u002Fjats:sub> ước tính từ phân bón tổng hợp là 18%, và ở các nước công nghiệp hóa là 7%. Tổn thất ước tính của NH\u003Cjats:sub>3\u003C\u002Fjats:sub> từ phân động vật là 21% ở các nước công nghiệp hóa và 26% ở các nước đang phát triển.\u003C\u002Fjats:p>",{"EN":4158,"VI":4159},"Estimation of global NH\u003Csub>3\u003C\u002Fsub>volatilization loss from synthetic fertilizers and animal manure applied to arable lands and grasslands","Ước tính tổn thất bay hơi NH\u003Csub>3\u003C\u002Fsub> toàn cầu từ phân bón tổng hợp và phân động vật được áp dụng trên đất canh tác và đồng cỏ",{"VI":4161},"bay hơi NH3, phân bón tổng hợp, phân động vật, hiệu quả sử dụng nitơ, đất canh tác, đồng cỏ, hồi quy tuyến tính, tổn thất nitơ.",{"VOID":4163},"10.1029\u002F2000gb001389",[212],[638],"https:\u002F\u002Fagupubs.onlinelibrary.wiley.com\u002Fdoi\u002F10.1029\u002F2000GB001389",[4168,4187,4202],{"id":4169,"sortIndex":25,"researcher":24,"roles":4170,"affiliations":4171,"properties":4180,"displayName":4184,"givenName":24,"familyName":24},"c90299c6-ae20-4627-bf08-ceafb756e478",[],[4172],{"id":4173,"sortIndex":25,"affiliation":4174,"properties":24},"7b905bec-c70c-4032-97ae-a44ef05cec81",{"id":4173,"createTime":24,"updateTime":24,"relativeEntities":4175,"slug":24,"properties":4176,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":4179,"statistic":24},[],{"title":4177},{"VI":4178},"National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands",[],{"orcid":4181,"title":4183,"openalex":4185},{"VOID":4182},"https:\u002F\u002Forcid.org\u002F0000-0002-2045-1859",{"EN":4184},"A. 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