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  • 1
    Publikationsdatum: 2012-06-23
    Beschreibung: Ecosystem respiration is the biotic conversion of organic carbon to carbon dioxide by all of the organisms in an ecosystem, including both consumers and primary producers. Respiration exhibits an exponential temperature dependence at the subcellular and individual levels, but at the ecosystem level respiration can be modified by many variables including community abundance and biomass, which vary substantially among ecosystems. Despite its importance for predicting the responses of the biosphere to climate change, it is as yet unknown whether the temperature dependence of ecosystem respiration varies systematically between aquatic and terrestrial environments. Here we use the largest database of respiratory measurements yet compiled to show that the sensitivity of ecosystem respiration to seasonal changes in temperature is remarkably similar for diverse environments encompassing lakes, rivers, estuaries, the open ocean and forested and non-forested terrestrial ecosystems, with an average activation energy similar to that of the respiratory complex (approximately 0.65 electronvolts (eV)). By contrast, annual ecosystem respiration shows a substantially greater temperature dependence across aquatic (approximately 0.65 eV) versus terrestrial ecosystems (approximately 0.32 eV) that span broad geographic gradients in temperature. Using a model derived from metabolic theory, these findings can be reconciled by similarities in the biochemical kinetics of metabolism at the subcellular level, and fundamental differences in the importance of other variables besides temperature-such as primary productivity and allochthonous carbon inputs-on the structure of aquatic and terrestrial biota at the community level.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Yvon-Durocher, Gabriel -- Caffrey, Jane M -- Cescatti, Alessandro -- Dossena, Matteo -- del Giorgio, Paul -- Gasol, Josep M -- Montoya, Jose M -- Pumpanen, Jukka -- Staehr, Peter A -- Trimmer, Mark -- Woodward, Guy -- Allen, Andrew P -- England -- Nature. 2012 Jul 26;487(7408):472-6. doi: 10.1038/nature11205.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉School of Biological & Chemical Sciences, Queen Mary University of London, London E1 4NS, UK. g.yvon-durocher@exeter.ac.uk〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22722862" target="_blank"〉PubMed〈/a〉
    Schlagwort(e): Animals ; Biomass ; Biota ; Carbon/*metabolism ; Carbon Dioxide/*metabolism ; Cell Respiration ; Data Collection ; *Ecosystem ; *Global Warming ; Humans ; Kinetics ; Lakes ; Marine Biology ; *Oxygen Consumption ; Photosynthesis ; Rivers ; Seasons ; Seawater ; *Temperature ; Time Factors ; Trees/metabolism
    Print ISSN: 0028-0836
    Digitale ISSN: 1476-4687
    Thema: Biologie , Chemie und Pharmazie , Medizin , Allgemeine Naturwissenschaft , Physik
    Standort Signatur Erwartet Verfügbarkeit
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  • 2
    Publikationsdatum: 2014-09-26
    Beschreibung: 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〉
    Schlagwort(e): 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
    Digitale ISSN: 1476-4687
    Thema: Biologie , Chemie und Pharmazie , Medizin , Allgemeine Naturwissenschaft , Physik
    Standort Signatur Erwartet Verfügbarkeit
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  • 3
    Publikationsdatum: 2010-07-07
    Beschreibung: 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〉
    Schlagwort(e): 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
    Digitale ISSN: 1095-9203
    Thema: Biologie , Chemie und Pharmazie , Informatik , Medizin , Allgemeine Naturwissenschaft , Physik
    Standort Signatur Erwartet Verfügbarkeit
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  • 4
    Publikationsdatum: 2010-07-07
    Beschreibung: 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〉
    Schlagwort(e): 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
    Digitale ISSN: 1095-9203
    Thema: Biologie , Chemie und Pharmazie , Informatik , Medizin , Allgemeine Naturwissenschaft , Physik
    Standort Signatur Erwartet Verfügbarkeit
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