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  Pan-arctic climate and land cover trends derived from multi-variate and multi-scale analyses (1981–2012)

Urban, M., Forkel, M., Eberle, J., Hüttich, C., Schmullius, C., & Herold, M. (2014). Pan-arctic climate and land cover trends derived from multi-variate and multi-scale analyses (1981–2012). Remote Sensing, 6(3), 2296-2316. doi:10.3390/rs6032296.

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BGC1998.pdf (Verlagsversion), 2MB
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http://dx.doi.org/10.3390/rs6032296 (Verlagsversion)
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 Urheber:
Urban, Marcel, Autor
Forkel, Matthias1, 2, Autor           
Eberle, Jonas, Autor
Hüttich, Christian, Autor
Schmullius, Christiane, Autor
Herold, Martin, Autor
Affiliations:
1Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1688139              
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: Arctic ecosystems have been afflicted by vast changes in recent decades. Changes in temperature, as well as precipitation, are having an impact on snow cover, vegetation productivity and coverage, vegetation seasonality, surface albedo, and permafrost dynamics. The coupled climate-vegetation change in the arctic is thought to be a positive feedback in the Earth system, which can potentially further accelerate global warming. This study focuses on the co-occurrence of temperature, precipitation, snow cover, and vegetation greenness trends between 1981 and 2012 in the pan-arctic region based on coarse resolution climate and remote sensing data, as well as ground stations. Precipitation significantly increased during summer and fall. Temperature had the strongest increase during the winter months (twice than during the summer months). The snow water equivalent had the highest trends during the transition seasons of the year. Vegetation greenness trends are characterized by a constant increase during the vegetation-growing period. High spatial resolution remote sensing data were utilized to map structural vegetation changes between 1973 and 2012 for a selected test region in Northern Siberia. An intensification of woody vegetation cover at the taiga-tundra transition area was found. The observed co-occurrence of climatic and ecosystem changes is an example of the multi-scale feedbacks in the arctic ecosystems.

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 Datum: 2014-03-052014-03-122014
 Publikationsstatus: Erschienen
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 Identifikatoren: Anderer: BGC1998
DOI: 10.3390/rs6032296
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Titel: Remote Sensing
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Basel : Molecular Diversity Preservation International (MDPI)
Seiten: - Band / Heft: 6 (3) Artikelnummer: - Start- / Endseite: 2296 - 2316 Identifikator: ISSN: 2072-4292
CoNE: https://pure.mpg.de/cone/journals/resource/2072-4292