Search Results - (Author, Cooperation:P. Friedlingstein)

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  1. 1
    P. M. Cox ; D. Pearson ; B. B. Booth ; P. Friedlingstein ; C. Huntingford ; C. D. Jones ; C. M. Luke
    Nature Publishing Group (NPG)
    Published 2013
    Staff View
    Publication Date:
    2013-02-08
    Publisher:
    Nature Publishing Group (NPG)
    Print ISSN:
    0028-0836
    Electronic ISSN:
    1476-4687
    Topics:
    Biology
    Chemistry and Pharmacology
    Medicine
    Natural Sciences in General
    Physics
    Keywords:
    Carbon Cycle/*physiology ; Carbon Dioxide/analysis/*metabolism ; Cell Respiration ; *Climate Change ; *Models, Theoretical ; Photosynthesis ; Rain ; Temperature ; Trees/*metabolism ; *Tropical Climate ; Uncertainty
    Published by:
    Latest Papers from Table of Contents or Articles in Press
  2. 2
    J. S. Singarayer ; P. J. Valdes ; P. Friedlingstein ; S. Nelson ; D. J. Beerling
    Nature Publishing Group (NPG)
    Published 2011
    Staff View
    Publication Date:
    2011-02-05
    Publisher:
    Nature Publishing Group (NPG)
    Print ISSN:
    0028-0836
    Electronic ISSN:
    1476-4687
    Topics:
    Biology
    Chemistry and Pharmacology
    Medicine
    Natural Sciences in General
    Physics
    Keywords:
    Agriculture/history ; Atmosphere/*chemistry ; *Earth (Planet) ; History, Ancient ; Human Activities/history ; Hydroxyl Radical/chemistry ; Ice Cover/chemistry ; Methane/*analysis/*history/metabolism ; Models, Theoretical ; Oryza/growth & development/history/metabolism ; Plant Leaves/growth & development/metabolism ; *Rain ; *Seasons ; Time Factors ; *Tropical Climate ; *Wetlands
    Published by:
    Latest Papers from Table of Contents or Articles in Press
  3. 3
    Staff View
    Publication Date:
    2016-03-11
    Publisher:
    Nature Publishing Group (NPG)
    Print ISSN:
    0028-0836
    Electronic ISSN:
    1476-4687
    Topics:
    Biology
    Chemistry and Pharmacology
    Medicine
    Natural Sciences in General
    Physics
    Keywords:
    Agriculture/statistics & numerical data ; Asia ; Atmosphere/*chemistry ; Carbon Dioxide/analysis/*metabolism ; *Ecosystem ; Global Warming/prevention & control/*statistics & numerical data ; Greenhouse Effect/prevention & control/*statistics & numerical data ; Human Activities/statistics & numerical data ; Methane/analysis/*metabolism ; Nitrous Oxide/analysis/*metabolism
    Published by:
    Latest Papers from Table of Contents or Articles in Press
  4. 4
    X. Wang ; S. Piao ; P. Ciais ; P. Friedlingstein ; R. B. Myneni ; P. Cox ; M. Heimann ; J. Miller ; S. Peng ; T. Wang ; H. Yang ; A. Chen
    Nature Publishing Group (NPG)
    Published 2014
    Staff View
    Publication Date:
    2014-01-28
    Publisher:
    Nature Publishing Group (NPG)
    Print ISSN:
    0028-0836
    Electronic ISSN:
    1476-4687
    Topics:
    Biology
    Chemistry and Pharmacology
    Medicine
    Natural Sciences in General
    Physics
    Keywords:
    Antarctic Regions ; Atmosphere/chemistry ; Carbon/analysis/metabolism ; Carbon Cycle/*physiology ; Carbon Dioxide/metabolism ; Carbon Sequestration ; Droughts ; Ecosystem ; Global Warming ; Hawaii ; History, 20th Century ; History, 21st Century ; Humidity ; Models, Theoretical ; Rain ; *Temperature ; *Tropical Climate
    Published by:
    Latest Papers from Table of Contents or Articles in Press
  5. 5
    Staff View
    Publication Date:
    2015-05-23
    Publisher:
    American Association for the Advancement of Science (AAAS)
    Print ISSN:
    0036-8075
    Electronic ISSN:
    1095-9203
    Topics:
    Biology
    Chemistry and Pharmacology
    Computer Science
    Medicine
    Natural Sciences in General
    Physics
    Keywords:
    Atmosphere/*chemistry ; *Carbon Cycle ; Carbon Dioxide/*analysis ; *Forests ; *Grassland
    Published by:
    Latest Papers from Table of Contents or Articles in Press
  6. 6
    Friedlingstein, P. ; Joel, G. ; Field, C. B. ; Fung, I. Y.

    Oxford, UK : Blackwell Science Ltd
    Published 1999
    Staff View
    ISSN:
    1365-2486
    Source:
    Blackwell Publishing Journal Backfiles 1879-2005
    Topics:
    Biology
    Energy, Environment Protection, Nuclear Power Engineering
    Geography
    Notes:
    The distribution of assimilated carbon among the plant parts has a profound effect on plant growth, and at a larger scale, on terrestrial biogeochemistry. Although important progress has been made in modelling photosynthesis, less effort has been spent on understanding the carbon allocation, especially at large spatial scales. Whereas several individual-level models of plant growth include an allocation scheme, most global terrestrial models still assume constant allocation of net primary production (NPP) among plant parts, without any environmental coupling. Here, we use the CASA biosphere model as a platform for exploring a new global allocation scheme that estimates allocation of photosynthesis products among leaves, stems, and roots depending on resource availability. The philosophy underlying the model is that allocation patterns result from evolved responses that adjust carbon investments to facilitate capture of the most limiting resources, i.e. light, water, and mineral nitrogen. In addition, we allow allocation of NPP to vary in response to changes in atmospheric CO2. The relative magnitudes of changes in NPP and resource-use efficiency control the response of root:shoot allocation. For ambient CO2, the model produces realistic changes in above-ground allocation along productivity gradients. In comparison to the CASA standard estimate using fixed allocation ratios, the new allocation scheme tends to favour root allocation, leading to a 10% lower global biomass. Elevated CO2, which alters the balance between growth and available resources, generally leads to reduced water stress and consequently, decreased root:shoot ratio. The major exception is forest ecosystems, where increased nitrogen stress induces a larger root allocation.
    Type of Medium:
    Electronic Resource
    URL:
    Articles: DFG German National Licenses
  7. 7
    Botta, A. ; Viovy, N. ; Ciais, P. ; Friedlingstein, P. ; Monfray, P.

    Oxford, UK : Blackwell Science Ltd
    Published 2000
    Staff View
    ISSN:
    1365-2486
    Source:
    Blackwell Publishing Journal Backfiles 1879-2005
    Topics:
    Biology
    Energy, Environment Protection, Nuclear Power Engineering
    Geography
    Notes:
    Leaf phenology describes the seasonal cycle of leaf functioning. Although it is essential for understanding the interactions between the biosphere, the climate, and biogeochemical cycles, it has received little attention in the modelling community at global scale. This article focuses on the prediction of spatial patterns of the climatological onset date of leaf growth for the decade 1983–93. It examines the possibility of extrapolating existing local models of leaf onset date to the global scale. Climate is the main variable that controls leaf phenology for a given biome at this scale, and satellite observations provide a unique means to study the seasonal cycle of canopies. We combine leaf onset dates retrieved from NOAA/AVHRR satellite NDVI with climate data and the DISCover land-cover map to identify appropriate models, and determine their new parameters at a 0.5° spatial resolution. We define two main regions: at temperate and high latitudes leaf onset models are mainly dependent on temperature; at low latitudes they are controlled by water availability. Some local leaf onset models are no longer relevant at the global scale making their calibration impossible. Nevertheless, we define our unified model by retaining the model that best reproduced the spatial distribution of leaf onset dates for each biome. The main spatial patterns of leaf onset date are well simulated, such as the Sahelian gradient due to aridity and the high latitude gradient due to frost. At temperate and high latitudes, simulated onset dates are in good agreement with climatological observations; 62% of treated grid-cells have a simulated leaf onset date within 10 days of the satellite observed onset date (which is also the temporal resolution of the NDVI data). In tropical areas, the subgrid heterogeneity of the phenology is larger and our model's predictive power is diminished. The difficulties encountered in the tropics are due to the ambiguity of the satellite signal interpretation and the low reliability of rainfall and soil moisture fields.
    Type of Medium:
    Electronic Resource
    URL:
    Articles: DFG German National Licenses
  8. 8
    Staff View
    ISSN:
    1476-4687
    Source:
    Nature Archives 1869 - 2009
    Topics:
    Biology
    Chemistry and Pharmacology
    Medicine
    Natural Sciences in General
    Physics
    Notes:
    [Auszug] Knowledge of carbon exchange between the atmosphere, land and the oceans is important, given that the terrestrial and marine environments are currently absorbing about half of the carbon dioxide that is emitted by fossil-fuel combustion. This carbon uptake is therefore limiting the extent of ...
    Type of Medium:
    Electronic Resource
    URL:
    Articles: DFG German National Licenses
  9. 9
    Staff View
    ISSN:
    0269-7491
    Source:
    Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics:
    Energy, Environment Protection, Nuclear Power Engineering
    Type of Medium:
    Electronic Resource
    URL:
    Articles: DFG German National Licenses
  10. 10
    Staff View
    ISSN:
    1476-4687
    Source:
    Nature Archives 1869 - 2009
    Topics:
    Biology
    Chemistry and Pharmacology
    Medicine
    Natural Sciences in General
    Physics
    Notes:
    [Auszug] Future climate warming is expected to enhance plant growth in temperate ecosystems and to increase carbon sequestration. But although severe regional heatwaves may become more frequent in a changing climate, their impact on terrestrial carbon cycling is unclear. Here we report measurements of ...
    Type of Medium:
    Electronic Resource
    URL:
    Articles: DFG German National Licenses