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Terrestrial Ecosystems - Isobioclimates of the Conterminous United States
Summary
- Type of release
- ongoing release of a series of related datasets
- Data Licence
- Not Applicable
- Content Licence
- Creative Commons CCZero
- Verification
- automatically awarded
- Release Date
- 28 August 2014
- Modified Date
- 8 December 2014
- Update Frequency
- asNeeded
- Publishers
- U.S. Geological Survey, Department of the Interior
- Identifier
- terrestrial-ecosystems-isobioclimates-of-the-conterminous-united-states
- Landing Page
- http://catalog.data.gov/dataset/terrestrial-ecosystems-isobioclimates-of-the-conterminous-united-states
- Theme
- climate5434
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Description
The U.S. Geological Survey (USGS) has generated and mapped isobioclimate classes for the contiguous United States. These isobioclimate classes were created as part of an effort to map standardized, terrestrial ecosystems for the nation using a classification developed by NatureServe (Comer and others, 2003). Ecosystem distributions were modeled using a biophysical stratification approach developed for South America (Sayre and others, 2008) and now being implemented globally (Sayre and others, 2007). Bioclimate regimes strongly influence the differentiation and distribution of terrestrial ecosystems, and are one of the key input layers in the ecosystem delineation process. The Rivas-MartÃnez methodology used to produce these classes was developed from a consideration of bioclimatology and its relationship to phytogeography (Rivas-MartÃnez, 2004; Rivas-MartÃnez and others, 1999, 2004). This approach develops a number of bioclimatic indices calculated from a variety of data on temperature and precipitation (e.g. average temperature of the coldest month, total precipitation of the warmest four-month period, a continentality index and a thermicity index). Daymet data, which was developed from 18-year (1980-1997) climatological records and is available at a spatial resolution of 1 kilometer, was used as the source data for these indices (Thornton, 1997). Once calculated the values of these indices are compared to established thresholds for the differentiation of thermotypic (warm/cold gradients) and ombrotypic (wet/dry gradients) regions, and the results are used in sets of decision rules to identify classes. The classification is implemented in four levels: macrobioclimates, bioclimates, thermotypes (thermoclimatic belts) and ombrotypes (ombroclimatic belts). The final isobioclimates dataset represents areas of the 127 unique thermotype-ombrotype combinations that were mapped for the contiguous United States.
Informazioni generali
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Questi dati sono descritti in
http://catalog.data.gov/dataset/terrestrial-ecosystems-isobioclimates-of-the-conterminous-united-states Do you think this data is incorrect? Let us know
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Questi dati sono pubblicati da
U.S. Geological Survey, Department of the Interior Do you think this data is incorrect? Let us know
Informazioni legali
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La dichiarazione dei diritti è in
http://catalog.data.gov/dataset/terrestrial-ecosystems-isobioclimates-of-the-conterminous-united-states Do you think this data is incorrect? Let us know
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Under which licence can people outside the US reuse this data?
Creative Commons CCZero Do you think this data is incorrect? Let us know
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Ci sono
yes, and the rights are all held by the same person or organisation Do you think this data is incorrect? Let us know
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Il contenuto è disponibile sotto
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Questi dati contengono
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I dati fanno parte di questa collezione
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Informazioni tecniche
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Gli aggiornamenti di questi dati sono elencati su
http://catalog.data.gov/api/rest/package/terrestrial-ecosystems-isobioclimates-of-the-conterminous-united-states Do you think this data is incorrect? Let us know
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Il formato di questi dati è
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Informazioni aggiuntive
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Scopri come contattare qualcuno a proposito di questi dati su
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Scopri come suggerire dei miglioramenti per la pubblicazione dei dati a
http://www.data.gov/issue/?media_url=http://catalog.data.gov/dataset/terrestrial-ecosystems-isobioclimates-of-the-conterminous-united-states Do you think this data is incorrect? Let us know