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Resultats globals: 6 registres trobats en 2.94 segons.
Articles, 6 registres trobats
Articles 6 registres trobats  
1.
25 p, 1.4 MB The global cropland-sparing potential of high-yield farming / Folberth, Christian (International Institute for Applied Systems Analysis (Àustria)) ; Khabarov, Nikolay (International Institute for Applied Systems Analysis (Àustria)) ; Balkovic, Juraj (Comenius University in Bratislava. Department of Soil Science) ; Skalský, Rastislav (National Agricultural and Food Centre, Soil Science and Conservation Research Institute) ; Visconti, Piero (International Institute for Applied Systems Analysis (Àustria)) ; Ciais, Philippe (Centre national de la recherche scientifique. Laboratoire des Sciences du Climat et de l'Environnement) ; Janssens, Ivan (University of Antwerp. Department of Biology) ; Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Obersteiner, Michael (International Institute for Applied Systems Analysis (Àustria))
The global expansion of cropland exerts substantial pressure on natural ecosystems and is expected to continue with population growth and affluent demand. Yet earlier studies indicated that crop production could be more than doubled if attainable crop yields were achieved on present cropland. [...]
2020 - 10.1038/s41893-020-0505-x
Nature sustainability, Vol. 3, Issue 4 (April 2020) , p. 281-289  
Registre complet -
2.
55 p, 1.9 MB Spatio-temporal downscaling of gridded crop model yield estimates based on machine learning / Folberth, Christian (International Institute for Applied Systems Analysis (Àustria)) ; Baklanov, Artem (International Institute for Applied Systems Analysis (Àustria)) ; Balkovic, Juraj (Comenius University in Bratislava. Department of Soil Science) ; Skalský, Rastislav (National Agricultural and Food Centre, Soil Science and Conservation Research Institute) ; Khabarov, Nikolay (International Institute for Applied Systems Analysis (Àustria)) ; Obersteiner, Michael (International Institute for Applied Systems Analysis (Àustria))
Global gridded crop models (GGCMs) are essential tools for estimating agricultural crop yields and externalities at large scales, typically at coarse spatial resolutions. Higher resolution estimates are required for robust agricultural assessments at regional and local scales, where the applicability of GGCMs is often limited by low data availability and high computational demand. [...]
2019 - 10.1016/j.agrformet.2018.09.021
Agricultural and forest meteorology, Vol. 264 (January 2019) , p. 1-15  
Registre complet - Creative Commons
3.
23 p, 13.6 MB Impacts and Uncertainties of +2∘C of Climate Change and Soil Degradation on European Crop Calorie Supply / Balkovic, Juraj (Comenius University in Bratislava. Department of Soil Science) ; Skalský, Rastislav (National Agricultural and Food Centre, Soil Science and Conservation Research Institute) ; Folberth, Christian (International Institute for Applied Systems Analysis (Àustria). Ecosystem Services and Management) ; Khabarov, Nikolay (International Institute for Applied Systems Analysis (Àustria). Ecosystem Services and Management) ; Schmid, Erwin (University of Natural Resource and Life Sciences. Institute for Sustainable Economic Development) ; Madaras, Mikuláš (Crop Research Institute (República Txeca)) ; Obersteiner, Michael (International Institute for Applied Systems Analysis (Àustria). Ecosystem Services and Management) ; Van der Velde, Marijn (European Commission. Joint Research Centre)
Even if global warming is kept below +2°C, European agriculture will be significantly impacted. Soil degradation may amplify these impacts substantially and thus hamper crop production further. We quantify biophysical consequences and bracket uncertainty of +2°C warming on calories supply from 10 major crops and vulnerability to soil degradation in Europe using crop modeling. [...]
2018 - 10.1002/2017EF000629
Earth's future, Vol. 6, Issue 3 (March 2018) , p. 373-395  
Registre complet - Creative Commons
4.
13 p, 4.7 MB Uncertainty in soil data can outweigh climate impact signals in crop yield simulations / Folberth, Christian (International Institute for Applied Systems Analysis (Àustria)) ; Skalsky, Rastislav (International Institute for Applied Systems Analysis (Àustria)) ; Moltchanova, Elena (International Institute for Applied Systems Analysis (Àustria)) ; Balkovic, Juraj (International Institute for Applied Systems Analysis (Àustria)) ; Azevedo, Ligia B. (International Institute for Applied Systems Analysis (Àustria)) ; Obersteiner, Michael (International Institute for Applied Systems Analysis (Àustria)) ; Van der Velde, Marijn (European Commission. Joint Research Centre)
Global gridded crop models (GGCMs) are increasingly used for agro-environmental assessments and estimates of climate change impacts on food production. Recently, the influence of climate data and weather variability on GGCM outcomes has come under detailed scrutiny, unlike the influence of soil data. [...]
2017 - 10.1038/ncomms1187
Nature communications, Vol. 7 (2016) , art. 11872  
Registre complet - Creative Commons
5.
30 p, 2.2 MB Uncertainties in global crop model frameworks : effects of cultivar distribution, crop management and soil handling on crop yield estimates / Folberth, Christian (International Institute for Applied Systems Analysis (Àustria). Ecosystem Services and Management) ; Elliot, Joshua (University of Chicago) ; Müller, Christoph (Postdam-Institut für Klimafolgenforschung) ; Balkovic, Juraj (International Institute for Applied Systems Analysis (Àustria). Ecosystem Services and Management) ; Chryssanthacopoulos, James (Columbia University. Center for Climate Systems Research) ; Izaurralde, Roberto C. (University of Maryland. Department of Geographical Sciences) ; Khabarov, Nikolay (International Institute for Applied Systems Analysis (Àustria). Ecosystem Services and Management) ; Liu, Wenfeng (Eawag) ; Reddy, Ashwan (University of Maryland. Department of Geographical Sciences) ; Schmid, Erwin (Universität für Bodenkultur Wien) ; Skalský, Rastislav (International Institute for Applied Systems Analysis (Àustria). Ecosystem Services and Management) ; Yang, Hong (Eawag) ; Arneth, Almut (Karlsruher Institut für Technologie) ; Ciais, Philippe (Laboratoire des Sciences du Climat et de l'Environnement) ; Deryng, Delphine (Columbia University Center for Climate Systems Research) ; Lawrence, Peter J. (National Center for Atmospheric Research. Earth System Laboratory) ; Olin, Stefan (Lunds Universitet. Department of Physical Geography and Ecosystem Science) ; Pugh, Thomas A. M. (Karlsruher Institut für Technologie) ; Ruane, Alex C. (Columbia University Center for Climate Systems Research) ; Wang, Xuhui (Laboratoire des Sciences du Climat et de l'Environnement)
Global gridded crop models (GGCMs) combine field-scale agronomic models or sets of plant growth algorithms with gridded spatial input data to estimate spatially explicit crop yields and agricultural externalities at the global scale. [...]
2016 - 10.5194/bg-2016-527
Biogeosciences Discussions, 20 Dec. 2016  
Registre complet - Creative Commons
6.
13 p, 4.7 MB Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations / Folberth, Christian (International Institute for Applied Systems Analysis (Àustria)) ; Skalský, Rastislav (International Institute for Applied Systems Analysis (Àustria)) ; Moltchanova, Elena (International Institute for Applied Systems Analysis (Àustria)) ; Balkovic, Juraj (International Institute for Applied Systems Analysis (Àustria)) ; Azevedo, Ligia B. (International Institute for Applied Systems Analysis (Àustria)) ; Obersteiner, Michael (International Institute for Applied Systems Analysis (Àustria)) ; Van der Velde, Marijn (Commission of the European Communities. Joint Research Centre)
Global gridded crop models (GGCMs) are increasingly used for agro-environmental assessments and estimates of climate change impacts on food production. Recently, the influence of climate data and weather variability on GGCM outcomes has come under detailed scrutiny, unlike the influence of soil data. [...]
2016 - 10.1038/ncomms11872
Nature communications, Vol. 7, art. 11872 (2016)  
Registre complet - Creative Commons

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