A new global dataset of bioclimatic indicators

被引：71

作者：

Noce, Sergio ^{[1
]}

Caporaso, Luca ^{[1
,2
]}

Santini, Monia ^{[1
]}

机构：

[1] Fdn Ctr Euromediterraneo Cambiamenti Climat CMCC, Div Impacts Agr Forests & Ecosyst Serv IAFES, Viterbo, Italy

[2] Ctr Nazl Ric, Inst Marine Sci ISMAR, Rome, Italy

来源：

SCIENTIFIC DATA | 2020年 / 7卷 / 01期

关键词：

BIAS CORRECTION; CLIMATE; PRECIPITATION; TEMPERATURE; MODELS; FUTURE;

D O I：

10.1038/s41597-020-00726-5

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

This study presents a new global gridded dataset of bioclimatic indicators at 0.5 degrees by 0.5 degrees 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.

引用

页数：12

共 60 条

[1] Extraordinary range expansion in a common bat: the potential roles of climate change and urbanisation [J].