47 Works

Modelling Land Use Changes in the Democratic Republic of Congo 2000-2030. A report by the REDD-PAC project.

A. Mosnier, R. Mant, J. Pirker, P. Bodin, D. Bokelo, P. Tonga, P. Havlik, G. Bocqueho, P. Maukonen, M. Obersteiner, V. Kapos & M. Tadoum

Modelling Land Use Changes in the Republic of Congo 2000-2030. A report by the REDD-PAC project.

A. Mosnier, R. Mant, J. Pirker, P. Bodin, R. Ndinga, P. Tonga, P. Havlik, G. Bocqueho, P. Maukonen, M. Obersteiner, V. Kapos & M. Tadoum

The Digital Revolution and Sustainable Development: Opportunities and Challenges. Report prepared by the World in 2050 initiative

N. Nakicenovic, D. Messner, C. Zimm, G. Clarke, J. Rockström, A.P.D. Aguiar, B. Boza-Kiss, L. Campagnolo, I. Chabay, D. Collste, L. Comolli, L. Gomez-Echeverri, A. Goujon, A. Grubler, R. Jung, M. Kamei, G. Kamiya, E. Kriegler, M. Kuhn, J. Leininger, C. Martin-Shields, B. Mayor Rodriguez, J. Miller, A. Miola, K. Riahi … & E. Zusman
The Digital Revolution, including technologies such as virtual and augmented reality, additive manufacturing or 3D-printing, (general purpose) artificial intelligence, or the Internet of Things, has entered the public discourse in many countries. Looking back, it is almost impossible to believe that digitalization is barely featured in the 2030 Agenda or the Paris Agreement. It is increasingly clear that digital changes, we refer to them as the Digital Revolution, are becoming a key driving force in...

Scenario analysis notebooks for the IPCC Special Report on Global Warming of 1.5 C

D. Huppmann, J. Rogelj, E. Kriegler, L. Mundaca, P. Forster, S. Kobayashi, R. Seferian & M.V. Vilarino

Urban Heat Island Hazard and Risk Indices for Austria

A. Storch, W. Schieder, B. Hollosi, A. Žuvela-Aloise, G. Prokop, S. Guggenberger & L. See

Dataset-Empirically-based spatial projections of U.S. population age structure consistent with the shared socioeconomic pathways

E. Striessnig, J. Gao, B. O'Neill & L. Jiang

Years of Good Life (YoGL): A wellbeing indicator designed to serve research on sustainability

W. Lutz, E. Striessnig, A. Dimitrova, S. Ghislandi, A. Lijadi, C. Reiter, S. Spitzer & D. Yildiz

Global cropland nitrogen flows for the year 2000 and 2010 simulated by GLOBIOM

J. Chang, P. Havlik, D. Leclere, W. De Vries, H. Valin, A. Deppermann, T. Hasegawa & M. Obersteiner
The dataset provides data on global cropland nitrogen flows for the year 2000 and 2010 at country level simulated by GLOBIOM. The nitrogen flows include N fertilizer, N manure, N fixation, N deposition, and harvested N. GLOBIOM (Global Biosphere Management Model) is a global partial equilibrium model allocating land-based activities, i.e. management of cropland, livestock systems and forestry, under land availability constraints, to maximize the sum of producer and consumer surpluses. In a recent version,...

A Crowdsourced Global Data Set for Validating Built-up Surface Layers V.2

L. See, I. Georgieva, M. Duerauer, T. Kemper, C. Corbane, L. Maffenini, J. Gallego, M. Pesaresi, F. Sirbu, R. Ahmed, K. Blyshchyk, B. Magori, V. Blyshchyk, O. Melnyk, R. Zadorozhniuk, M.-T. Mandici, Y.-F. Su, A.H. Rabia, A. Pérez-Hoyos, R. Vasylyshyn, C.K. Pawe, S. Bilous, S.B. Kovalevskyi, S.S. Kovalevskyi, K. Bordoloi … & S. Fritz
This collection contains data that were collected during a crowdsourcing campaign using Geo-Wiki (https://www.geo-wiki.org/). The campaign involved visual interpretation of a sample that is designed for validating any existing global built-up surface product. A zipped shapefile (ValidationGrids.zip) contains the random stratified sample of 50K locations, which consist of 80x80m grids further sub-divided into 10m cells so there are 64 cells per grid. These locations were provided to the crowd, who used very high-resolution satellite images...

Reconciling regional nitrogen boundaries with global food security

J. Chang, P. Havlik, D. Leclere, W. de Vries, H. Valin, A. Deppermann, T. Hasegawa & M. Obersteiner

Modelling future land use changes in Central Africa 2000-2030. A report by the REDD-PAC project

A. Mosnier, R. Mant, J. Pirker, B. Bodin, A. Makoudjou, E. Awono, D. Bokelo, P. Tonga, R. Ndinga, P. Havlik, G. Bocqueho, P. Maukonen, M. Obersteiner, V. Kapos & M. Tadoum

A Crowdsourced Global Data Set for Validating Built-up Surface Layers

L. See, I. Georgieva, M. Duerauer, T. Kemper, C. Corbane, L. Maffenini, J. Gallego, M. Pesaresi, F. Sirbu, R. Ahmed, K. Blyshchyk, B. Magori, V. Blyshchyk, O. Melnyk, R. Zadorozhniuk, M.-T. Mandici, Y.-F. Su, A.H. Rabia, A. Pérez-Hoyos, R. Vasylyshyn, C.K. Pawe, S. Bilous, S.B. Kovalevskyi, S.S. Kovalevskyi, K. Bordoloi … & S. Fritz
This collection contains data that were collected during a crowdsourcing campaign using Geo-Wiki (https://www.geo-wiki.org/). The campaign involved visual interpretation of a sample that is designed for validating any existing global built-up surface product. A zipped shapefile (ValidationGrids.zip) contains the random stratified sample of 50K locations, which consist of 80x80m grids further sub-divided into 10m cells so there are 64 cells per grid. These locations were provided to the crowd, who used very high-resolution satellite images...

Crowdsourcing LUCAS: Data set from the 2018 FotoQuest Go Europe campaign

J.C. Laso Bayas, L. See, H. Bartl, T. Sturn, M. Karner, D. Fraisl, I. Moorthy, M. Busch, M. Van Der Velde & S Fritz

Effective strategies for multi-sectoral research using large-scale models

Paul Kishimoto

pan-EU EPIC crop calendar and fertilization data

J. Balkovič, R. Skalský, C. Folberth, N. Khabarov, E. Schmid, M. Madaras, M. Obersteiner & M. Van Der Velde
These EU-EPIC datasets contain sowing dates and potential heat units (EUEPIC_CALENDAR.csv) and N and P fertilizer application rates (EUEPIC_FERTILIZATION.csv) for major European crops.

IAMC 1.5°C Scenario Explorer and Data hosted by IIASA

Daniel Huppmann, Elmar Kriegler, Volker Krey, Keywan Riahi, Joeri Rogelj, Steven Rose, John Weyant, Nico Bauer, Christoph Bertram, Valentina Bosetti, Katherine Calvin, Jonathan Doelman, Laurent Drouet, Johannes Emmerling, Stefan Frank, Shinichiro Fujimori, David Gernaat, Arnulf Grubler, Celine Guivarch, Martin Haigh, Christian Holz, Gokul Iyer, Etsushi Kato, Kimon Keramidas, Alban Kitous … & Runsen Zhang

Exposure coefficients in the EUCalculator

F. Wagner, J. Borken-Kleefeld, G. Kiesewetter, Z. Klimont, W. Schoepp & M. Amann

Implied emission factors in the World Bank’s Carbon Pricing Assessment Tool (CPAT)

F. Wagner, J. Borken-Kleefeld, G. Kiesewetter, Z. Klimont, W. Schoepp & M. Amann

Soil respiration database

L. Mukhortova, D. Shchepaschenko & A. Shvidenko

Soil respiration database

L. Mukhortova, D. Shchepaschenko & A. Shvidenko

Pathways to Sustainable Land-Use and Food Systems. 2020 Report of the FABLE Consortium

, J. Poncet, A. Mosnier, G. Schmidt-Traub, M. Obersteiner, F. DeClerck, S. Jones, K. Pérez-Guzmán, C. Douzal & C. François

MESSAGEix-GLOBIOM Documentation - 2020 release

V Krey, P Havlik, PN Kishimoto, O Fricko, J Zilliacus, M Gidden, M Strubegger, G Kartasasmita, T Ermolieva, N Forsell, F Guo, M Gusti, D Huppmann, N Johnson, J Kikstra, G Kindermann, P Kolp, F Lovat, DL McCollum, J Min, S Pachauri, SC Parkinson, S Rao, J Rogelj, G Ünlü … & K Riahi
These webpages document the IIASA Integrated Assessment Modeling (IAM) framework, also referred to as MESSAGEix-GLOBIOM. MESSAGEix-GLOBIOM is a global model, covering 11 world regions and was originally developed for the quantification of the so-called Shared Socio-economic Pathways (SSPs). The documentation includes information on the spatial and temporal structure of the model, the socio-economic drivers, the energy supply and demand sector representation, the agriculture, forest and other land-use component, and the macro-economic and climate modules. It...

Using models to inform policies to meet multiple objectives. Sustainable development, climate change mitigation and biodiversity conservation in Central Africa

R. Mant, S. Garcia-Rangel, M. Tadoum, C. Nchoutpouen, P. Tonga, A. Makoudjou, D. Bokelo Bile, R.G. Ndinga, A. Mosnier, M. Obersteiner, F. Kraxner, J. Pirker, G. Bocqueho, Petr Havlik & K. Valerie
Land-use change models can help in developing a holistic understanding of the range of potential impacts of different land-use related policy options, and so strengthen the development and implementation of policies to meet a range of objectives; including sustainable development, climate change mitigation, food security and biodiversity conservation. Member countries of the Central Africa Forest Commission (COMIFAC) have committed to sustainable management of the region’s forests, including under the COMIFAC “Convergence Plan”, and to achieving...

Modelling Land Use Change in Brazil:2000-2050 (Dataset)

G. Camara, A. Soterroni, F. Ramos, A. Carvalho, P. Andrade, R.S. Souza, A. Mosnier, R. Mant, M. Buurman, M. Pena, P. Havlik, J. Pirker, F. Kraxner, M. Obersteiner, V. Kapos, A. Affonso, G. Espindola & G. Bocqueho
The input and output land cover dataset across all modelled time periods (2000-2050) and scenarios resulting from the work of the REDD-PAC project in Brazil. Please consult the data section of the REDD-PAC website (http://redd-pac.org/new_page.php?contents=data1.csv) to access a data visualization tool and to obtain the dataset in WFS format. This dataset can be accessed and displayed using GIS software such as QGIS. Please consult the metadata file for further instructions

Supplementary data for: Global Gridded Nitrogen Indicators: Influence of Crop Maps

K. Kaltenegger
indicators on a global grid pose unique opportunities to quantify environmental impacts from N application simultaneously on various scales and different world regions. Such calculations require the use of maps showing the geo-spatial distribution of crop production. Although there are several crop maps in the scientific literature to choose from, the consequences of this choice for the calculation of N indicators still needs to be evaluated. In this study we analyze the differences of the...

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