We produce alot of data in our research. Here is some of our data available for you to download:
3D building data from Li, M., Koks, E., Taubenböck, H., & van Vliet, J. (2020). Continental-scale mapping and analysis of 3D building structure. Remote Sensing of Environment, 245, 111859.
Modelling tiger Landscapes in Cambodia from Debonne, N., Vliet, J. van, Verburg, P.H., (2019) Future governance options for large-scale land acquisition in Cambodia: Impacts on tree cover and tiger landscapes.Environmental Science & Policy 94, 9–19.
Forest classes and uses from Schulze K, Malek Ž, Verburg PH (2019) Towards better mapping of forest management patterns: A global allocation approach. Forest Ecology and Management 432, 776-785
Conservation Agriculture from Prestele R, Hirsch AL, Davin EL, Seneviratne SI, and Verburg PH (2018) A spatially explicit representation of conservation agriculture for application in global change studies. Global Change Biology24(9), 4038-4053
Future land system change in the Mediterranean from two articles: Malek Ž et al. 2018. Global change effects on land management in the Mediterranean region. Glob. Env. Chang. 50, 238-254 and Malek Ž, Verburg PH. 2017. Adaptation of land management in the Mediterranean under scenarios of irrigation water use and availability. Mitigation and Adaptation Strategies for Global Change.
Outdoor recreation potential from: Komossa F, van der Zanden EH, Schulp CJE, Verburg PH. 2018. Mapping landscape potential for outdoor recreation using different archetypical recreation user groups in the European Union. Ecological Indicators 85:105-116.
Characteristics of European Cultural Landscapes from: Tieskens, K.F., Schulp, C.J.E., Levers, C., Lieskovský, J., Kuemmerle, T., Plieninger, T., Verburg, P.H., 2017. Characterizing European cultural landscapes: Accounting for structure, management intensity and value of agricultural and forest landscapes. Land use policy 62, 29–39.
CORINE for CLUE reclassification of CORINE data for use in CLUE model
Agent Based Modelling from: Zagaria, C., Schulp, C.J.E., Kizos, T., Gounaridis, D. & Verburg, P.H. (2017). Cultural landscapes and behavioral transformations: An agent-based model for the simulation and discussion of alternative landscape futures in East Lesvos, Greece. Land Use Policy, 65, 26-44.
Mediterranean land systems: results from Malek Ž and Verburg PH (2017). Mediterranean land systems: Representing diversity and intensity of complex land systems in a dynamic region. Landscape and Urban Planning, 165: 102-116.
European Landscape Typology: from van der Zanden, E. H., Levers, C., Verburg, P. H., & Kuemmerle, T. (2016). Representing composition, spatial structure and management intensity of European agricultural landscapes: A new typology. Landscape and Urban Planning, 150, 36-49.
Implementing SSP Scenarios in CLUMondo land use model
Biodiversity and Carbon storage as drivers of global change: results from Eitelberg et al. (2016). Demand for biodiversity protection and carbon storage as drivers of global land change scenarios. Glob. Environ. Chang. 40, 101–111.
Landscape value indicators social media: results from van Zanten et al. (2016). Continental-scale quantification of landscape values using social media data. PNAS 113: 12974-12979
Historic land cover/use change reconstruction for Europe from 1900 – 2010 by the HILDA model.
Ecosystem services/ public goods/ biodiversity dataset containing maps of a number of public goods and biodiversity indicators.
No net loss data from Schulp et al. (2016). A quantitative assessment of policy options for no net loss of biodiversity and ecosystem services in the European Union.Land Use Policy. 57: 151-163.
Pollination data from Schulp et al. (2014). Quantifying and mapping ecosystem services: Demand and supply of pollination in the European Union.Ecological indicators 36: 131-141.
Map comparison data from Schulp et al., 2014. Uncertainties in ecosystem service maps: A comparison on the European scale. PloS ONE 9, e109643.
Wild food data from Schulp et al. (2014). Wild food in Europe: a synthesis of knowledge and data of terrestrial wild food as an ecosystem service.Ecological Economics 105: 292-305.
Global Land Systems data from van Asselen, S. & Verburg, P.H. (2012). A Land System representation for global assessments and land-use modeling.Global Change Biology, 18, 3125-3148.
Global Potentially Available Cropland data from Eitelberg, D.A., van Vliet, J. & Verburg, P.H. (2014). A review of global potentially available cropland estimates and their consequences for model-based assessments.Global Change Biology, 21 (3), 1236-1248.
Flood regulation data from Stürck, J., Poortinga, A., Verburg, P. H., 2014. Mapping ecosystem services: The supply and demand of flood regulation services in Europe. Ecol. Ind. 38, 198-211.
Linear Landscape Elements data from van der Zanden, E.H., Verburg, P.H and Mücher, C.A. (2013). Modelling the spatial distribution of linear landscape elements in Europe.Ecological Indicators. 27: 125-136.
Land use intensity data for a new, high-resolution, map of agricultural land use intensity for the European Union.
Market influence data from Verburg, PH, Ellis, EC, Letourneau, A. 2011. A global assessment of market accessibility and market influence for global environmental change studies.Environmental Research Letters 6: 034019.