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Divergent apparent temperature sensitivity of terrestrial ecosystem respiration

Journal of Plant Ecology 2014年第5期7卷 419-428页

作者： Bing Song Shuli Niu Ruisen Luo Yiqi Luo Jiquan Chen Guirui Yu Janusz Olejnik Georg Wohlfahrt Gerard Kiely Asko Noormets Leonardo Montagnani Alessandro Cescatti Vincenzo Magliulo Beverly Elizabeth Law Magnus Lund Andrej Varlagin Antonio Raschi Matthias Peichl Mats BNilsson Lutz Merbold Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Yuquan RoadBeijing 100049China Department of Botany and Microbiology University of OklahomaNormanOK 73019USA CGCEO/Geography Michigan State UniversityEast LansingMI 48864USA Meteorology Department Poznan University of Life Sciences(PULS)Poznan 60-667Poland Department of Matter and Energy Fluxes Global Change Research CenterAS CRv.v.i.BrnoCzech Republic Institute of Ecology University of InnsbruckSternwartestr 15Innsbruck 6020Austria Civil and Environmental Engineering Department University College CorkCorkIreland North Carolina State University/USDA Forest Service Southern Global Change ProgramRaleighNC 27606USA Servizi Forestali Agenzia per l’AmbienteProvinciaAutonoma di BolzanoBolzano 39100Italy Faculty of Science and Technology Free University of BolzanoPiazza Università1Bolzano 39100Italy European Commission Joint Research CenterInstitute for Environment and SustainabilityIspraItaly Institute of Forest and Agricultural Mediterranean Ecosystems-CNR ISAFoM Via Patacca85Ercolano(Napoli)Italy College of Forestry Oregon State UniversityCorvallisOR 97331-2209USA Department of Bioscience Aarhus UniversityFrederiksborgvejRoskilde 4000Denmark A.N.Severtsov Institute of Ecology and Evolution Russian Academy of SciencesLenisky pr.33 Moscow119071Russia CNR-Instituto di Biometeorologia(IBIMET) Via Giovanni Caproni 8Firenze 50145Italy Department of Forest Ecology&Management Swedish University of Agricultural SciencesUmeå90183Sweden ETH Zurich Institute for Agricultural Sciences(IAS)Grassland Sciences GroupLFWC55.2Universitätstrasse 2Zurich 8092Switzerland

Aims Recent studies revealed convergent temperature sensitivity of ecosys-tem respiration(Re)within aquatic ecosystems and between terrestrial and aquatic *** do not know yet whether various terres-trial ecosystems have consistent or divergent temperature ***,we synthesized 163 eddy covariance flux sites across the world and examined the global variation of the apparent activation energy(Ea),which characterizes the apparent temperature sensitivity of and its interannual variability(IAV)as well as their controlling *** We used carbon fluxes and meteorological data across FLUXNET sites to calculate mean annual temperature,tempera-ture range,precipitation,global radiation,potential radiation,gross primary productivity and Re by averaging the daily values over the years in each ***,we analyzed the sites with>8 years data to examine the IAV of Ea and calculated the standard deviation of Ea across years at each site to character-ize *** Findings The results showed a widely global variation of Ea,with significantly lower values in the tropical and subtropical areas than in temperate and boreal areas,and significantly higher values in grasslands and wetlands than that in deciduous broadleaf forests and evergreen ***,spatial variations of Ea were explained by changes in temperature and an index of water availability with differing contribution of each explaining variable among climate zones and *** and the corresponding coefficient of variation of Ea decreased with increasing latitude,but increased with radiation and corresponding mean annual *** revealed patterns in the spatial and temporal variations of Ea and its controlling factors indicate divergent temperature sensitivity of Re,which could help to improve our predictive understanding of Re in response to climate change.

关键词： activation energy ecosystem respiration index of water availability interannual variability gross primary productivity

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