Property:HasFormattedReference

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Showing 20 pages using this property.
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USGS, 2000 +
USGS (2000). ''World Petroleum Assessment 2000'', US Geological Survey, Washington DC(URL: http://pubs.usgs.gov/fs/fs-062-03/).  +
USGS, 2013 +
Geological Survey World Conventional Resources Assessment Team (2013). ''Supporting data for the U.S. Geological Survey 2012 world assessment of undiscovered oil and gas resources: U.S. Geological Survey Digital Data Series DDS–69–FF''.URL: https://doi.org/10.3133/ds69FF  +
Ueckerdt et al., 2016 +
F. Ueckerdt, R. Pietzcker, Y. Scholz, D. Stetter, A. Giannousakis, G. Luderer (2016). Decarbonizing global power supply under region-specific consideration of challenges and options of integrating variable renewables in the REMIND model. ''Energy Economics'', doi: http://dx.doi.org/http://dx.doi.org/10.1016/j.eneco.2016.05.012.  +
V
Van Aardenne et al., 2001 +
J. A. Van Aardenne, F. J. Dentener, J. G. J. Olivier, C. G. M. K. Goldewijk, J. Lelieveld (2001). A 1° × 1° resolution data set of historical anthropogenic trace gas emissions for the period 1890-1990. ''Global Biogeochemical Cycles'', ''15''(4), pp. 909-928, doi: http://dx.doi.org/10.1029/2000GB001265.  +
Van Asselen and Verburg, 2012 +
Van Asselen, S. and Verburg P.H. (2012). A land system representation for global assessments and land-use modeling. ''Global Change Biology'', ''18'', pp. 3125-3148, doi: http://dx.doi.org/10.1111/j.1365-2486.2012.02759.x.  +
Van Asselen and Verburg, 2013 +
S. Van Asselen, P.H. Verburg (2013). Land cover change or land-use intensification: simulating land system change with a global-scale land change model. ''Global Change Biology'', ''19''(12), pp. 3648-3667, doi: http://dx.doi.org/10.1111/gcb.12331.  +
Van Asselen et al., 2013 +
S. Van Asselen, P.H. Verburg, J. Vermaat, J.H. Janse (2013). Drivers of wetland conversions: a global meta-analysis. ''PLoS ONE'', ''8'', pp. e81292, doi: http://dx.doi.org/10.1371/journal.pone.0081292.  +
Van Beek and Bierkens, 2009 +
L. P. H. van Beek, M. F. P. Bierkens (2009). ''The global hydrological model PCR-GLOBWB: conceptualization, parameterization and verification''.Department of Physical Geography.Utrecht University, The Netherlands.URL: http://vanbeek.geo.uu.nl/suppinfo/vanbeekbierkens2009.pdf  +
Van Beek et al., 2011 +
L. P. H. van Beek, Y. Wada, M. F. P. Bierkens (2011). Global monthly water stress: 1. Water balance and water availability. ''Water Resources Research'', ''47'', pp. W07517, doi: http://dx.doi.org/10.1029/2010WR009791.  +
Van Beek, 2012 +
R. van Beek (2012). ''Estimating soil hydraulic properties for reconstructed maps of historic land use using pedotransfer functions'', Utrecht University (Internal report), The Netherlands.  +
Van Bussel et al., 2015 +
L. G. J. van Bussel, E. Stehfest, S. Siebert, C. Müller, F. Ewert (2015). Simulation of the phenological development of wheat and maize at the global scale. ''Global Ecology and Biogeography'', ''24''(9), pp. 1018-1029, doi: http://dx.doi.org/10.1111/geb.12351.  +
Van Bussel, 2011 +
L.G.J. van Bussel (2011). ''From field to globe: Upscaling of crop growth modelling''.Ph.D. thesis.pp 212.Wageningen University.The Netherlands.  +
Van Den Berg et al., 2015 +
M. Van Den Berg, A. F. Hof, J. Van Vliet, D. P. Van Vuuren (2015). Impact of the choice of emission metric on greenhouse gas abatement and costs. ''Environmental Research Letters'', ''10''(2), doi: http://dx.doi.org/10.1088/1748-9326/10/2/024001.  +
Van Den Berg et al., 2016 +
M. van den Berg, K. Neumann, D. P. van Vuuren, A. F. Bouwman, T. Kram, J. Bakkes (2016). Exploring resource efficiency for energy, land and phosphorus use: Implications for resource scarcity and the global environment. ''Global Environmental Change'', ''36'', pp. 21-34, doi: http://dx.doi.org/10.1016/j.gloenvcha.2015.09.016.  +
Van Der Sluijs, 1995 +
J. P. Van Der Sluijs (1995). Uncertainty management in integrated modelling, the IMAGE case. ''Studies in Environmental Science'', ''65''(PART B), pp. 1401-1406, doi: http://dx.doi.org/10.1016/S0166-1116(06)80179-2.  +
Van Dijk et al., 2020 +
van Dijk M., Gramberger M., Laborde D., Mandryk M., Shutes L., Stehfest E., Valin H., Faradsch K. (2020). Stakeholder-designed scenarios for global food security assessments. ''Global Food Security'', ''24'', doi: http://dx.doi.org/10.1016/j.gfs.2020.100352.  +
Van Drecht et al., 2001 +
G. van Drecht, A. F. Bouwman, J. M. Knoop, C. Meinardi, A. Beusen (2001). Global pollution of surface waters from point and nonpoint sources of nitrogen. ''TheScientificWorldJournal [electronic resource]'', ''1 Suppl 2'', pp. 632-641.  +
Van Drecht et al., 2003 +
G. Van Drecht, A. F. Bouwman, J. M. Knoop, A. H. W. Beusen, C. R. Meinardi (2003). Global modeling of the fate of nitrogen from point and nonpoint sources in soils, groundwater, and surface water. ''Global Biogeochemical Cycles'', ''17''(4), pp. 26-1.  +
Van Drecht et al., 2005 +
G. Van Drecht, A. F. Bouwman, E. W. Boyer, P. Green, S. Siebert (2005). A comparison of global spatial distributions of nitrogen inputs for nonpoint sources and effects on river nitrogen export. ''Global Biogeochemical Cycles'', ''19''(4), doi: http://dx.doi.org/10.1029/2005GB002454.  +
Van Drecht et al., 2009 +
G. Van Drecht, A. F. Bouwman, J. Harrison, J. M. Knoop (2009). Global nitrogen and phosphate in urban wastewater for the period 1970 to 2050. ''Global Biogeochemical Cycles'', ''23''(3), pp. GB0A03, doi: http://dx.doi.org/10.1029/2009GB003458.<br/> Link to PBL-website: http://www.pbl.nl/en/publications/2009/Global-nitrogen-and-phosphate-in-urban-wastewater-for-the-period-1970-to-2050.  +
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