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  Large-scale variation in boreal and temperate forest carbon turnover rate is related to climate

Thurner, M., Beer, C., Carvalhais, N., Forkel, M., Santoro, M., Tum, M., et al. (2016). Large-scale variation in boreal and temperate forest carbon turnover rate is related to climate. Geophysical Research Letters, 43(9), 4576-4585. doi:10.1002/2016GL068794.

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BGC2447.pdf (Verlagsversion), 2MB
 
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 Urheber:
Thurner, Martin1, Autor           
Beer, Christian, Autor
Carvalhais, Nuno1, Autor           
Forkel, Matthias1, 2, Autor           
Santoro, Maurizio, Autor
Tum, Markus, Autor
Schmullius, Christiane, Autor
Affiliations:
1Model-Data Integration, Dr. Nuno Carvalhais, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938310              
2IMPRS International Max Planck Research School for Global Biogeochemical Cycles, Max Planck Institute for Biogeochemistry , Max Planck Society, Hans-Knöll-Str. 10, 07745 Jena, DE, ou_1497757              

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 Zusammenfassung: Vegetation carbon turnover processes in forest ecosystems and their dominant drivers are far from being understood at a broader scale. Many of these turnover processes act on long time-scales and include a lateral dimension and thus can hardly be investigated by plot-level studies alone. Making use of remote sensing based products of net primary productivity (NPP) and biomass, here we show that spatial gradients of carbon turnover rate (k) in Northern Hemisphere boreal and temperate forests are explained by different climate-related processes depending on the ecosystem. k is related to frost damage effects and the trade-off between growth and frost adaptation in boreal forests, while drought stress and climate effects on insects and pathogens can explain an elevated k in temperate forests. By identifying relevant processes underlying broad-scale patterns in k, we provide the basis for a detailed exploration of these mechanisms in field studies, and ultimately the improvement of their representations in global vegetation models (GVMs).

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 Datum: 2016-04-202016-05-162016
 Publikationsstatus: Erschienen
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 Identifikatoren: Anderer: BGC2447
DOI: 10.1002/2016GL068794
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Titel: Geophysical Research Letters
  Kurztitel : GRL
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Washington, D.C. : American Geophysical Union
Seiten: - Band / Heft: 43 (9) Artikelnummer: - Start- / Endseite: 4576 - 4585 Identifikator: ISSN: 0094-8276
CoNE: https://pure.mpg.de/cone/journals/resource/954925465217