气候变化领域集成服务门户(CCPortal): A growing degree day inference model based on mountain birch leaf cuticle analysis over a latitudinal gradient in Fennoscandia

CCPortal

DOI	10.1177/0959683619865605
	A growing degree day inference model based on mountain birch leaf cuticle analysis over a latitudinal gradient in Fennoscandia
	Ercan, Fabian E. Z.; De Boer, Hugo Jan; Wagner-Cremer, Friederike
发表日期	2019-08-01
ISSN	0959-6836
EISSN	1477-0911
英文摘要	Cuticle analysis performed on fossil Betula nana (L.) leaves provides a strong proxy to reconstruct past growing season thermal properties expressed as growing degree days (GDD(5)). This proxy is so far available for the dwarf birch only and, therewith, r
关键词	Betula climate change cuticle analysis Fennoscandia growing degree days inference model latitudinal gradient palaeoclimate seasonality
学科领域	Geography, Physical;Geosciences, Multidisciplinary
语种	英语
WOS记录号	WOS:000480043800001
来源期刊	HOLOCENE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/81745
作者单位	Univ Utrecht, Dept Phys Geog, Palaeoecol, Princetonlaan 8a, NL-3584 CB Utrecht, Netherlands
推荐引用方式 GB/T 7714	Ercan, Fabian E. Z.,De Boer, Hugo Jan,Wagner-Cremer, Friederike. A growing degree day inference model based on mountain birch leaf cuticle analysis over a latitudinal gradient in Fennoscandia[J],2019.
APA	Ercan, Fabian E. Z.,De Boer, Hugo Jan,&Wagner-Cremer, Friederike.(2019).A growing degree day inference model based on mountain birch leaf cuticle analysis over a latitudinal gradient in Fennoscandia.HOLOCENE.
MLA	Ercan, Fabian E. Z.,et al."A growing degree day inference model based on mountain birch leaf cuticle analysis over a latitudinal gradient in Fennoscandia".HOLOCENE (2019).