A high-resolution bioclimate map of the world: a unifying framework for global biodiversity research and monitoring
A broad set of climate-related variables were considered for inclusion in a quantitative model, which partitions geographic space into bioclimate regions. Statistical screening produced a subset of relevant bioclimate variables, which were further compacted into fewer independent dimensions using pr...
| Autores principales: | , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2013
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/52111 |
| _version_ | 1855517300617117696 |
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| author | Metzger MJ Bunce RGH Jongman RHG Sayre, R. Trabucco, Antonio Zomer, Robert J. |
| author_browse | Bunce RGH Jongman RHG Metzger MJ Sayre, R. Trabucco, Antonio Zomer, Robert J. |
| author_facet | Metzger MJ Bunce RGH Jongman RHG Sayre, R. Trabucco, Antonio Zomer, Robert J. |
| author_sort | Metzger MJ |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | A broad set of climate-related variables were considered for inclusion in a quantitative model, which partitions geographic space into bioclimate regions. Statistical screening produced a subset of relevant bioclimate variables, which were further compacted into fewer independent dimensions using principal components analysis (PCA). An ISODATA clustering routine was then used to classify the principal components into relatively homogeneous environmental strata. The strata were aggregated into global environmental zones based on the attribute distances between strata to provide structure and support a consistent nomenclature. The global environmental stratification (GEnS) consists of 125 strata, which have been aggregated into 18 global environmental zones. The stratification has a 30 arcsec resolution (equivalent to 0.86 km2 at the equator). Aggregations of the strata were compared with nine existing global, continental and national bioclimate and ecosystem classifications using the Kappa statistic. Values range between 0.54 and 0.72, indicating good agreement in bioclimate and ecosystem patterns between existing maps and the GEnS. |
| format | Journal Article |
| id | CGSpace52111 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace521112024-08-27T10:35:03Z A high-resolution bioclimate map of the world: a unifying framework for global biodiversity research and monitoring Metzger MJ Bunce RGH Jongman RHG Sayre, R. Trabucco, Antonio Zomer, Robert J. climate agriculture classification biodiversity monitoring cartography ecology A broad set of climate-related variables were considered for inclusion in a quantitative model, which partitions geographic space into bioclimate regions. Statistical screening produced a subset of relevant bioclimate variables, which were further compacted into fewer independent dimensions using principal components analysis (PCA). An ISODATA clustering routine was then used to classify the principal components into relatively homogeneous environmental strata. The strata were aggregated into global environmental zones based on the attribute distances between strata to provide structure and support a consistent nomenclature. The global environmental stratification (GEnS) consists of 125 strata, which have been aggregated into 18 global environmental zones. The stratification has a 30 arcsec resolution (equivalent to 0.86 km2 at the equator). Aggregations of the strata were compared with nine existing global, continental and national bioclimate and ecosystem classifications using the Kappa statistic. Values range between 0.54 and 0.72, indicating good agreement in bioclimate and ecosystem patterns between existing maps and the GEnS. 2013-05 2014-12-16T06:37:33Z 2014-12-16T06:37:33Z Journal Article https://hdl.handle.net/10568/52111 en Limited Access Wiley Metzger MJ, Bunce RGH, Jongman RHG, 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(5):630-638. |
| spellingShingle | climate agriculture classification biodiversity monitoring cartography ecology Metzger MJ Bunce RGH Jongman RHG Sayre, R. Trabucco, Antonio Zomer, Robert J. A high-resolution bioclimate map of the world: a unifying framework for global biodiversity research and monitoring |
| title | A high-resolution bioclimate map of the world: a unifying framework for global biodiversity research and monitoring |
| title_full | A high-resolution bioclimate map of the world: a unifying framework for global biodiversity research and monitoring |
| title_fullStr | A high-resolution bioclimate map of the world: a unifying framework for global biodiversity research and monitoring |
| title_full_unstemmed | A high-resolution bioclimate map of the world: a unifying framework for global biodiversity research and monitoring |
| title_short | A high-resolution bioclimate map of the world: a unifying framework for global biodiversity research and monitoring |
| title_sort | high resolution bioclimate map of the world a unifying framework for global biodiversity research and monitoring |
| topic | climate agriculture classification biodiversity monitoring cartography ecology |
| url | https://hdl.handle.net/10568/52111 |
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