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  • 1
    Publication Date: 2005-10-29
    Description: Global change will alter the supply of ecosystem services that are vital for human well-being. To investigate ecosystem service supply during the 21st century, we used a range of ecosystem models and scenarios of climate and land-use change to conduct a Europe-wide assessment. Large changes in climate and land use typically resulted in large changes in ecosystem service supply. Some of these trends may be positive (for example, increases in forest area and productivity) or offer opportunities (for example, "surplus land" for agricultural extensification and bioenergy production). However, many changes increase vulnerability as a result of a decreasing supply of ecosystem services (for example, declining soil fertility, declining water availability, increasing risk of forest fires), especially in the Mediterranean and mountain regions.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Schroter, Dagmar -- Cramer, Wolfgang -- Leemans, Rik -- Prentice, I Colin -- Araujo, Miguel B -- Arnell, Nigel W -- Bondeau, Alberte -- Bugmann, Harald -- Carter, Timothy R -- Gracia, Carlos A -- de la Vega-Leinert, Anne C -- Erhard, Markus -- Ewert, Frank -- Glendining, Margaret -- House, Joanna I -- Kankaanpaa, Susanna -- Klein, Richard J T -- Lavorel, Sandra -- Lindner, Marcus -- Metzger, Marc J -- Meyer, Jeannette -- Mitchell, Timothy D -- Reginster, Isabelle -- Rounsevell, Mark -- Sabate, Santi -- Sitch, Stephen -- Smith, Ben -- Smith, Jo -- Smith, Pete -- Sykes, Martin T -- Thonicke, Kirsten -- Thuiller, Wilfried -- Tuck, Gill -- Zaehle, Sonke -- Zierl, Barbel -- New York, N.Y. -- Science. 2005 Nov 25;310(5752):1333-7. Epub 2005 Oct 27.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany. dagmar.schroeter@gmail.com〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16254151" target="_blank"〉PubMed〈/a〉
    Keywords: Agriculture ; Biodiversity ; Carbon ; Climate ; Conservation of Natural Resources ; Crops, Agricultural ; *Ecosystem ; Environment ; Europe ; Greenhouse Effect ; Humans ; Models, Statistical ; Models, Theoretical ; Socioeconomic Factors ; Trees/growth & development ; Urban Population ; Water Supply ; Wood
    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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  • 2
    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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