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A new global dataset of bioclimatic indicators
- Source :
- Scientific Data, Scientific Data, Vol 7, Iss 1, Pp 1-12 (2020)
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- This study presents a new global gridded dataset of bioclimatic indicators at 0.5° by 0.5° resolution for historical and future conditions. The dataset, called CMCC-BioClimInd, provides a set of 35 bioclimatic indices, expressed as mean values over each time interval, derived from post-processing both climate reanalysis for historical period (1960–1999) and an ensemble of 11 bias corrected CMIP5 simulations under two greenhouse gas concentration scenarios for future climate projections along two periods (2040–2079 and 2060–2099). This new dataset complements the availability of spatialized bioclimatic information, crucial aspect in many ecological and environmental wide scale applications and for several disciplines, including forestry, biodiversity conservation, plant and landscape ecology. The data of individual indicators are publicly available for download in the commonly used Network Common Data Form 4 (NetCDF4) format.<br />Measurement(s) bioclimatic indicators Technology Type(s) Geographic Information System • computational modeling technique Factor Type(s) temporal interval • geographic location Sample Characteristic - Environment climate system Sample Characteristic - Location global Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.12927443
- Subjects :
- 0106 biological sciences
Statistics and Probability
Data Descriptor
Conservation of Natural Resources
010504 meteorology & atmospheric sciences
Climate
Ecology (disciplines)
Biodiversity
Library and Information Sciences
010603 evolutionary biology
01 natural sciences
Education
Environmental impact
Set (abstract data type)
Greenhouse Gases
Biodiversity conservation
Environmental monitoring
lcsh:Science
Climate and Earth system modelling
0105 earth and related environmental sciences
Ecology
Forestry
Computer Science Applications
Geography
Climatology
Greenhouse gas
lcsh:Q
Statistics, Probability and Uncertainty
Landscape ecology
Scale (map)
Climate-change impacts
Environmental Monitoring
Information Systems
Subjects
Details
- ISSN :
- 20524463
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- Scientific Data
- Accession number :
- edsair.doi.dedup.....0f788ec4232470b384bda7f0f2b69625