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  • 1
    Publication Date: 2008-01-04
    Description: The carbon balance of terrestrial ecosystems is particularly sensitive to climatic changes in autumn and spring, with spring and autumn temperatures over northern latitudes having risen by about 1.1 degrees C and 0.8 degrees C, respectively, over the past two decades. A simultaneous greening trend has also been observed, characterized by a longer growing season and greater photosynthetic activity. These observations have led to speculation that spring and autumn warming could enhance carbon sequestration and extend the period of net carbon uptake in the future. Here we analyse interannual variations in atmospheric carbon dioxide concentration data and ecosystem carbon dioxide fluxes. We find that atmospheric records from the past 20 years show a trend towards an earlier autumn-to-winter carbon dioxide build-up, suggesting a shorter net carbon uptake period. This trend cannot be explained by changes in atmospheric transport alone and, together with the ecosystem flux data, suggest increasing carbon losses in autumn. We use a process-based terrestrial biosphere model and satellite vegetation greenness index observations to investigate further the observed seasonal response of northern ecosystems to autumnal warming. We find that both photosynthesis and respiration increase during autumn warming, but the increase in respiration is greater. In contrast, warming increases photosynthesis more than respiration in spring. Our simulations and observations indicate that northern terrestrial ecosystems may currently lose carbon dioxide in response to autumn warming, with a sensitivity of about 0.2 PgC degrees C(-1), offsetting 90% of the increased carbon dioxide uptake during spring. If future autumn warming occurs at a faster rate than in spring, the ability of northern ecosystems to sequester carbon may be diminished earlier than previously suggested.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Piao, Shilong -- Ciais, Philippe -- Friedlingstein, Pierre -- Peylin, Philippe -- Reichstein, Markus -- Luyssaert, Sebastiaan -- Margolis, Hank -- Fang, Jingyun -- Barr, Alan -- Chen, Anping -- Grelle, Achim -- Hollinger, David Y -- Laurila, Tuomas -- Lindroth, Anders -- Richardson, Andrew D -- Vesala, Timo -- England -- Nature. 2008 Jan 3;451(7174):49-52. doi: 10.1038/nature06444.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉LSCE, UMR CEA-CNRS, Batiment 709, CE, L'Orme des Merisiers, F-91191 Gif-sur-Yvette, France. slpiao@lsce.ipsl.fr〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18172494" target="_blank"〉PubMed〈/a〉
    Keywords: Atmosphere/chemistry ; Biomass ; Carbon Dioxide/analysis/*metabolism ; Cell Respiration ; *Ecosystem ; Fossil Fuels ; Geography ; Greenhouse Effect ; History, 20th Century ; History, 21st Century ; Oceans and Seas ; Photosynthesis ; Plant Transpiration ; Plants/metabolism ; Rain ; *Seasons ; Soil/analysis ; *Temperature ; Water/metabolism
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2010-03-12
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Reichstein, Markus -- England -- Nature. 2010 Mar 11;464(7286):145. doi: 10.1038/464145e.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Max Planck Institute for Biogeochemistry, Jena, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20220802" target="_blank"〉PubMed〈/a〉
    Keywords: Carbon Dioxide/*metabolism ; *Climate Change ; Humans ; Models, Theoretical
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2014-09-26
    Description: The response of the terrestrial carbon cycle to climate change is among the largest uncertainties affecting future climate change projections. The feedback between the terrestrial carbon cycle and climate is partly determined by changes in the turnover time of carbon in land ecosystems, which in turn is an ecosystem property that emerges from the interplay between climate, soil and vegetation type. Here we present a global, spatially explicit and observation-based assessment of whole-ecosystem carbon turnover times that combines new estimates of vegetation and soil organic carbon stocks and fluxes. We find that the overall mean global carbon turnover time is 23(+7)(-4) years (95 per cent confidence interval). On average, carbon resides in the vegetation and soil near the Equator for a shorter time than at latitudes north of 75 degrees north (mean turnover times of 15 and 255 years, respectively). We identify a clear dependence of the turnover time on temperature, as expected from our present understanding of temperature controls on ecosystem dynamics. Surprisingly, our analysis also reveals a similarly strong association between turnover time and precipitation. Moreover, we find that the ecosystem carbon turnover times simulated by state-of-the-art coupled climate/carbon-cycle models vary widely and that numerical simulations, on average, tend to underestimate the global carbon turnover time by 36 per cent. The models show stronger spatial relationships with temperature than do observation-based estimates, but generally do not reproduce the strong relationships with precipitation and predict faster carbon turnover in many semi-arid regions. Our findings suggest that future climate/carbon-cycle feedbacks may depend more strongly on changes in the hydrological cycle than is expected at present and is considered in Earth system models.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Carvalhais, Nuno -- Forkel, Matthias -- Khomik, Myroslava -- Bellarby, Jessica -- Jung, Martin -- Migliavacca, Mirco -- Mu, Mingquan -- Saatchi, Sassan -- Santoro, Maurizio -- Thurner, Martin -- Weber, Ulrich -- Ahrens, Bernhard -- Beer, Christian -- Cescatti, Alessandro -- Randerson, James T -- Reichstein, Markus -- England -- Nature. 2014 Oct 9;514(7521):213-7. doi: 10.1038/nature13731. Epub 2014 Sep 24.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Max Planck Institute for Biogeochemistry, Hans Knoll Strasse 10, 07745 Jena, Germany [2] Departamento de Ciencias e Engenharia do Ambiente, DCEA, Faculdade de Ciencias e Tecnologia, FCT, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal. ; Max Planck Institute for Biogeochemistry, Hans Knoll Strasse 10, 07745 Jena, Germany. ; 1] Max Planck Institute for Biogeochemistry, Hans Knoll Strasse 10, 07745 Jena, Germany [2] School of Geography and Earth Sciences, McMaster University, Hamilton, Ontario L8S 4K1, Canada. ; 1] Institute of Biological and Environmental Sciences, School of Biological Sciences, University of Aberdeen, Aberdeen AB24 3UU, UK [2] Lancaster Environment Centre, Lancaster University, Bailrigg, Lancaster LA1 4YQ, UK. ; 1] Max Planck Institute for Biogeochemistry, Hans Knoll Strasse 10, 07745 Jena, Germany [2] Remote Sensing of Environmental Dynamics Lab, DISAT, University of Milano-Bicocca, Piazza della Scienza 1, 20126 Milan, Italy. ; Department of Earth System Science, University of California Irvine, Irvine, California 92697, USA. ; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California 91109, USA. ; Gamma Remote Sensing, Worbstrasse 225, 3073 Gumligen, Switzerland. ; 1] Max Planck Institute for Biogeochemistry, Hans Knoll Strasse 10, 07745 Jena, Germany [2] Department of Applied Environmental Science and Bolin Centre for Climate Research, Stockholm University, Svante Arrhenius vag 8, 10691 Stockholm, Sweden. ; European Commission, Joint Research Centre, Institute for Environment and Sustainability, Climate Risk Management Unit, Via E. Fermi, 2749, I-21027 Ispra, Italy.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25252980" target="_blank"〉PubMed〈/a〉
    Keywords: Biomass ; Carbon/*metabolism ; *Carbon Cycle ; *Climate ; *Ecosystem ; Feedback ; Hydrology ; Models, Theoretical ; Plants/metabolism ; Rain ; Soil/chemistry ; Temperature ; Time Factors ; Water Cycle
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2010-07-07
    Description: Terrestrial gross primary production (GPP) is the largest global CO(2) flux driving several ecosystem functions. We provide an observation-based estimate of this flux at 123 +/- 8 petagrams of carbon per year (Pg C year(-1)) using eddy covariance flux data and various diagnostic models. Tropical forests and savannahs account for 60%. GPP over 40% of the vegetated land is associated with precipitation. State-of-the-art process-oriented biosphere models used for climate predictions exhibit a large between-model variation of GPP's latitudinal patterns and show higher spatial correlations between GPP and precipitation, suggesting the existence of missing processes or feedback mechanisms which attenuate the vegetation response to climate. Our estimates of spatially distributed GPP and its covariation with climate can help improve coupled climate-carbon cycle process models.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Beer, Christian -- Reichstein, Markus -- Tomelleri, Enrico -- Ciais, Philippe -- Jung, Martin -- Carvalhais, Nuno -- Rodenbeck, Christian -- Arain, M Altaf -- Baldocchi, Dennis -- Bonan, Gordon B -- Bondeau, Alberte -- Cescatti, Alessandro -- Lasslop, Gitta -- Lindroth, Anders -- Lomas, Mark -- Luyssaert, Sebastiaan -- Margolis, Hank -- Oleson, Keith W -- Roupsard, Olivier -- Veenendaal, Elmar -- Viovy, Nicolas -- Williams, Christopher -- Woodward, F Ian -- Papale, Dario -- New York, N.Y. -- Science. 2010 Aug 13;329(5993):834-8. doi: 10.1126/science.1184984. Epub 2010 Jul 5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Biogeochemical Model-Data Integration Group, Max Planck Institute for Biogeochemistry, 07745 Jena, Germany. christian.beer@bgc-jena.mpg.de〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20603496" target="_blank"〉PubMed〈/a〉
    Keywords: Artificial Intelligence ; Atmosphere ; Carbon Dioxide/*metabolism ; *Climate ; Climatic Processes ; *Ecosystem ; Geography ; Models, Biological ; Models, Statistical ; Neural Networks (Computer) ; Oxygen Consumption ; *Photosynthesis ; Plant Leaves/*metabolism ; Plants/*metabolism ; Temperature ; Trees/metabolism ; Uncertainty ; Water
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2010-07-07
    Description: The respiratory release of carbon dioxide (CO(2)) from the land surface is a major flux in the global carbon cycle, antipodal to photosynthetic CO(2) uptake. Understanding the sensitivity of respiratory processes to temperature is central for quantifying the climate-carbon cycle feedback. We approximated the sensitivity of terrestrial ecosystem respiration to air temperature (Q(10)) across 60 FLUXNET sites with the use of a methodology that circumvents confounding effects. Contrary to previous findings, our results suggest that Q(10) is independent of mean annual temperature, does not differ among biomes, and is confined to values around 1.4 +/- 0.1. The strong relation between photosynthesis and respiration, by contrast, is highly variable among sites. The results may partly explain a less pronounced climate-carbon cycle feedback than suggested by current carbon cycle climate models.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mahecha, Miguel D -- Reichstein, Markus -- Carvalhais, Nuno -- Lasslop, Gitta -- Lange, Holger -- Seneviratne, Sonia I -- Vargas, Rodrigo -- Ammann, Christof -- Arain, M Altaf -- Cescatti, Alessandro -- Janssens, Ivan A -- Migliavacca, Mirco -- Montagnani, Leonardo -- Richardson, Andrew D -- New York, N.Y. -- Science. 2010 Aug 13;329(5993):838-40. doi: 10.1126/science.1189587. Epub 2010 Jul 5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Max Planck Institute for Biogeochemistry, 07745 Jena, Germany. mmahecha@bgc-jena.mpg.de〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20603495" target="_blank"〉PubMed〈/a〉
    Keywords: Carbon/metabolism ; Carbon Dioxide/*metabolism ; Cell Respiration ; *Climate ; Ecological and Environmental Processes ; *Ecosystem ; Models, Biological ; Models, Statistical ; Photosynthesis ; Plants/*metabolism ; Soil/analysis ; Soil Microbiology ; *Temperature
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 2016-01-23
    Description: Atmospheric monitoring of high northern latitudes (above 40 degrees N) has shown an enhanced seasonal cycle of carbon dioxide (CO2) since the 1960s, but the underlying mechanisms are not yet fully understood. The much stronger increase in high latitudes relative to low ones suggests that northern ecosystems are experiencing large changes in vegetation and carbon cycle dynamics. We found that the latitudinal gradient of the increasing CO2 amplitude is mainly driven by positive trends in photosynthetic carbon uptake caused by recent climate change and mediated by changing vegetation cover in northern ecosystems. Our results underscore the importance of climate-vegetation-carbon cycle feedbacks at high latitudes; moreover, they indicate that in recent decades, photosynthetic carbon uptake has reacted much more strongly to warming than have carbon release processes.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Forkel, Matthias -- Carvalhais, Nuno -- Rodenbeck, Christian -- Keeling, Ralph -- Heimann, Martin -- Thonicke, Kirsten -- Zaehle, Sonke -- Reichstein, Markus -- New York, N.Y. -- Science. 2016 Feb 12;351(6274):696-9. doi: 10.1126/science.aac4971. Epub 2016 Jan 21.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Max Planck Institute for Biogeochemistry, 07745 Jena, Germany. matthias.forkel@geo.tuwien.ac.at ncarval@bgc-jena.mpg.de. ; Max Planck Institute for Biogeochemistry, 07745 Jena, Germany. CENSE, Departamento de Ciencias e Engenharia do Ambiente, Faculdade de Ciencias e Tecnologia, Universidade NOVA de Lisboa, Caparica, Portugal. matthias.forkel@geo.tuwien.ac.at ncarval@bgc-jena.mpg.de. ; Max Planck Institute for Biogeochemistry, 07745 Jena, Germany. ; Scripps Institution of Oceanography, La Jolla, CA 92093, USA. ; Max Planck Institute for Biogeochemistry, 07745 Jena, Germany. Department of Physical Sciences, University of Helsinki, Helsinki, Finland. ; Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany. ; Max Planck Institute for Biogeochemistry, 07745 Jena, Germany. Michael-Stifel-Center Jena for Data-driven and Simulation Science, 07743 Jena, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26797146" target="_blank"〉PubMed〈/a〉
    Keywords: Atmosphere ; *Carbon Cycle ; Carbon Dioxide/*metabolism ; *Climate Change ; Ecosystem ; Environmental Monitoring ; Photosynthesis ; Plants/*metabolism ; Seasons
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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