1,721,470 research outputs found
GEnS
No full textThe Global Environmental Stratification (GEnS) is a statistically derived global bioclimate classification, providing a novel global spatial framework for the integration and analysis of ecological and environmental data. The dataset distinguishes 125 strata that are relatively homogeneous in bioclimatic conditions and can be aggregated into 18 environmental zones.
The GEnS is available as a raster and vector spatial dataset for use with a Geographical Information System, and has a 30 arcsec resolution (equivalent to 0.86 km2 at the equator).
The GEnS provides a robust spatial analytical framework for the aggregation of local observations, identification of gaps in current monitoring efforts and systematic design of complementary and new monitoring and research.
The classification procedure is described in: Metzger M.J., Bunce R.G.H, Jongman R.H.G, Sayre R., Trabucco A., Zomer R. (2013). "A high-resolution bioclimate map of the world: a unifying framework for global biodiversity research and monitoring". Global Ecology and Biogeography 22: 630-638 - https://doi.org/10.1111/geb.12022This dataset contains:
1) GenSv3.zip - The ESRI shapefile, ESRI grid and GeoTiff files for the global environmental stratification, as published Global Ecology and Biogeography. NOTE The data provided here are not projected, ie they have a geographic latitude-longitude coordinate system. While the grid has a colormap that displays the legend discussed in the paper, the shapefile does not have a separate legend file.
2) SourceDataGEnS.zip - GeoTiff grids of the 42 bioclimate variables that were considered for the GEnS, as described in Metzger et al. 2013, and listed in Appendix S1 of that publication. var4, var12, var36, and var37 were used to create the GEnS
3) prin_components.zip - GeoTiff files of 4 principal components components that we clustered to create the GEn
A high resolution economic density zone map of Europe
Full text linkAvailable data for gross domestic product (GDP) and population density are useful for defining divisions in socio-economic gradients across Europe, since economic power and human population pressure are recognised as two of the most critical factors causing ecosystem changes. To overcome both the limitations in data availability and in the distortions caused by using administrative regions, we decided to base the socio-economic dimension on an economic density indicator, defined as the income generated per square kilometre (€ km−2), which can be mapped at a 1km2 spatial resolution. Economic density forms an integrative indicator that is based on two key drivers that were identified above: economic power and human population pressure. The indicator, which has been used to rank countries by their level of development, can be considered a crude measure for impacts on the environment caused by economic activity.
An economic density map (€ km−2) at 1 km2 spatial resolution was constructed by multiplying economic power (€ person−1) with population density (person km−2). Subsequent logarithmic divisions resulted in an aggregated map of four economic density zones. Although the map has a fine spatial resolution it has to be realised that they form a spatial disaggregation of coarser census statistics. Importantly, the finer resolution discerns regional gradients in human activity that are required for many environmental studies, whilst broad gradients in economic activity is also treated consistently across Europe.
GDP and population density data used were for the year 2001.
The dataset consists of GeoTiff files of the economic density map and the four economic density zones.This dataset contains three files:
1) readme.pdf explains the construction of the dataset;
2) GeoTiff.zip contains GIS GeoTiff files for the economic density map and the economic density zones;
3) thumbnail.jpg provides an image of the economic density map
EnS
No full textThe Environmental Stratification of Europe (EnS) is a statistically derived land classification, providing a novel global spatial framework for the integration and analysis of ecological and environmental data. The dataset distinguishes 84 strata that are relatively homogeneous in environmental conditions and can be aggregated into 13 environmental zones (EnZ).
The EnS is available as a raster and vector spatial dataset for use with a Geographical Information System, and has a 1km spatial resolution and is projected in the INSPIRE ETRS89-LAEA projection.
The EnS provides a robust spatial analytical framework for the aggregation of local observations, identification of gaps in current monitoring efforts and systematic design of complementary and new monitoring and research.
The classification procedure is described in: Metzger M.J., Bunce R.G.H, Jongman R.H.G, Mücher C.A., Watkins J.W. (2005). "A climatic stratification of the environment of Europe". Global Ecology and Biogeography 14: 549-563 - https://doi.org/10.1111/j.1466-822x.2005.00190.xThis dataset contains:
1) EnSv8.zip - The ESRI shape files for the EnS (84 strata) and the EnZ (13 zones, with .avl legend). (Note this is an updated versions from the map published in 2005 paper, as described in the Readme_EnSv8.pdf file in this .zip
2) maps.zip - A set of maps of the EnS with strata labels and the EnZ as .png and .tif files in 600dpi print quality
3) prin_components.zip - GeoTiff files of the 20 principal component rasters of the classification variables. pc1-4 were clustered to create the EnS (as described in the GEB paper), and the Eigenvectors and Eigenvalues of the principal components as a .csv file (PCA_eigenvaules_eigenvectors.csv). These statistics were not described in the paper but may be of interest to better understand the strata
Sub-regional classification of the IPCC Europe region
Full text linkThe IPCC sub-regional classification of the IPCC Europe region is based on a combination of the Environmental Stratification of Europe (Metzger at al. 2005), which covers the map up to 32° East, and an extension for Eastern Europe which was constructed using the same statistical methods. The combined dataset distinguishes 17 zones. To reduce the complexity, the zones have been aggregated to five main zones which were used in the IPCC 5th Assessment Reports Working Group 2 Europe Chapter (Kovats et al. 2014). Significant variation in climate, and (agro-) ecosystems remains within these zones, and further subdivision may make sense when assessing particular climate change impact. One obvious candidate for further subdivision is the ‘Southern zone’, which includes Mediterranean mountains and uplands in Anatolia that contrast starkly with other parts of the zone.This dataset contains:
1) IPCC_Europe_subregions.zip - the ESRI shape files for the IPCC Europe regions and country boundaries
2) IPCC_Europe_subregions.jpg - image of the regions
2) readme.pdf - description of the creation of the datase
Three illustrated land use visions of Europe for 2040
Full text linkThe continuously growing global demands on a finite land resource will require better strategic policies and management of trade-offs to avoid conflicts between different land-use sectors. Visions of the future can support strategic planning by stimulating dialogue, building a consensus on shared priorities and providing long-term targets.
The European Union FP7 project VOLANTE (http://www.volante-project.eu) worked with 63 expert stakeholders to create three cross-sectoral vision for future sustainable land use in Europe (Perez-Soba et al. 2018) which provide a basis for exploring possible pathways towards these desired futures (Metzger et al. 2018)
This dataset provides three rich pictures illustrating these visions, which were created by Scriberia (www.scriberia.co.uk) based on Marc Metzger and James Peterson's ideas and valuable input from members of the VOLANTE consortium. This file provides a brief description of the visions.
For more detailed information please refer to:
• Perez-Soba M., Paterson J., Metzger M.J., Gramberger M., Houtkamp J., Jensen A., Murray-Rust D., Verkerk P.J. (2018) Sketching sustainable land use in Europe by 2040: a multi-stakeholder participatory approach to elicit cross-sectoral visions. Regional Environmental Change in press. https://doi.org/10.1007/s10113-018-1297-7
• Metzger M.J., Lindner M., Pedroli B. (in press) Towards a roadmap for sustainable land use in Europe Regional Environmental Change in press. https://doi.org/10.1007/s10113-018-1285-yThe illustrations are provided as .png, .svg and Adobe Photoshop .psd files. A short description of the visions and further background information is provided in VOLANTE_visions_description.pdf
STREAMLINE - a visual interview methodology that makes semi-structured interviews, focus groups and stakeholder workshops more fun and accessible
Full text linkSTREAMLINE is a new tool for community engagement and participatory research. It is a bespoke interview methodology that can be tailored to the needs of individual research projects. STREAMLINE is made up of a series of colourful laminated A3 canvasses. Each canvas explores a different aspect of the future. The canvases are designed to help the researcher understand the interviewee’s hopes and desires for the future, and can be used to understand synergies and difference in future visions among different groups. Using a mix of images, storytelling and multiple-choice questions on each canvas, participants are engaged and rich, multi-layered data can be gathered in a relatively short period of time. The format has been used successfully in one-on-one interviews, with small groups (up to five people) and in larger workshops (multiple groups of 5).
This dataset contains a userguide, catalogue, and graphics files for 14 canvas templates and 500+ tiles, which were created by Scriberia (www.scriberia.co.uk) based on ideas from Aster de Vries Lentsch and Marc Metzger. For more information please refer to: www.streamline-research.comThis submission contains the following files:
* "Readme.pdf" – A ReadMe file describing the dataset
* "STREAMLINE_Userguide_2018.pdf" – A user guide describing how to use the STREAMLINE methodology
* "STREAMLINE_Canvas_Catalogue.pdf" – A catalogue of the canvases developed until now
* "STREAMLINE_Tile_Catalogue.pdf" – A catalogue of the tiles and other images until now
* "Canvasses.zip" – A .zip archive with Adobe, .svg, and .png graphic files of the canvases and the aftercare booklet and poster.
* "Tiles.zip" – A .zip archive with Adobe, .svg, and .png graphic files of the tiles
* "tomshand.tff" – the font file for the font used in the canvase
scenario
No full textDespite woodland expansion being advocated via a number of policy documents, barriers to woodland creation in Scotland remain. These include contested views about land use amongst multiple stakeholders, concerns around trade-offs with other land uses, and a lack of synergy between policies and plans.
Five contrasting woodland expansion visions were developed to better understand agreement and differences between these views. The visions are based on a mixed-method approach consisting of: content analysis of 53 vision documents, plans and policies relating to forestry and woodland expansion from a wide range of stakeholders involved in forestry, conservation and land use in Scotland; a workshop with 18 stakeholders; and semi-structured interviews with 4 further stakeholders. This dataset provides five rich pictures illustrating these visions, which were created by Scriberia (www.scriberia.co.uk) based on ideas from Vanessa Burton and Marc Metzger. The visions_description.pdf file provides a short description of the visions. For more information please refer to: Burton V (2017) Understanding stakeholder values for woodland expansion. ESCom Briefing Note. http://escom.scot/sites/default/files/resources/escom-visions-briefing-note.pdf ; Burton V, Metzger MJ, Brown C, Moseley D (2018) Green Gold to Wild Woodlands; understanding stakeholder visions for woodland expansion in Scotland. Landscape Ecology ( in review
Scenarios of shifts in GEnS bioclimate strata based on CIMP5 climate change scenarios for 2050
No full textThis dataset provides an alternative representation of global climate change projections based on shifts in the 125 multivariate strata of the Global Environmental Stratification (Metzger et al. 2013), which are characterised by relatively homogeneous climate. These strata form climate analogues that help in the interpretation of climate change impacts. A Random Forest classifier was calculated and applied to 63 Coupled Model Intercomparison Project Phase 5 (CMIP5) climate scenarios at 5 arcmin resolution. The dataset summarises future environmental change for 2050 and forms a middle ground, conveniently integrating current knowledge of climate change impact with the interpretation advantages of categorical data but with a level of detail that resembles a continuous surface at global and regional scales.See datadescription.txt file
Scotland's natural treasures - an illustrated ecosystem services map
Full text linkScotland is packed with natural treasures that provide endless inspiration, excitement, and enjoyment as well as supporting much of our economy. These benefits we get from nature sometimes referred to as ecosystem services, that are provided by Scotland's natural capital. This map provides a rich picture of many of these ecosystem services and is accompanied by a legend that explains different categories of benefits. The map - and the illustrated ecosystem services within the map - can be used for illustration purposes and as an informative educational resource.
The illustration was created by Sara Gelfgren from Scriberia as outreach material for the European Union FP7 project OPERAs (http://www.operas-project.eu) based on Marc Metzger's ideas and valuable input from Kathleen Allen, Vanessa Burton, Archie Crofton, Martina Metzger and members of the Ecosystem Services Community Scotland.The map and legend are included as .pdf, .jpg, .svg and Adobe Illustrated .ai files.
Individual map elements are numbered are described in NaturalTreasuresScotlandLegend.pdf
Europe's natural treasures - an illustrated ecosystem services map
Full text linkEurope is full of natural treasures that provide endless inspiration, excitement, and enjoyment as well as supporting much of our economy. These benefits we get from nature sometimes referred to as ecosystem services, that are provided by Europe's natural capital. This map provides a rich picture of many of these ecosystem services and is accompanied by a legend that explains different categories of benefits. The map - and the illustrated ecosystem services within the map - can be used for illustration purposes and as an informative educational resource.
The illustration was created by Sara Gelfgren from Scriberia as outreach material for the European Union FP7 project OPERAs (http://www.operas-project.eu) based on Marc Metzger's ideas and valuable input from Kathleen Allen, Archie Crofton, Martina Metzger, Chris Wilson and members of the OPERAs consortium.The map is provided as .pdf, .jpg, .svg and Adobe Illustrated .ai files.
A legend and description of the individual map elements are provided in NaturalTreasuresEurope_legend.pdf
- …
