气候变化领域集成服务门户(CCPortal): A hierarchical Bayesian Beta regression approach to study the effects of geographical genetic structure and spatial autocorrelation on species distribution range shifts

CCPortal

DOI	10.1111/1755-0998.13024
	A hierarchical Bayesian Beta regression approach to study the effects of geographical genetic structure and spatial autocorrelation on species distribution range shifts
	Martinez-Minaya, Joaquin; Conesa, David; Fortin, Marie-Josee; Alonso-Blanco, Carlos; Xavier Pico, F.; Marcer, Arnald
发表日期	2019-07-01
ISSN	1755-098X
EISSN	1755-0998
卷号	19 期号:4 页码:929-943
英文摘要	Global climate change (GCC) may be causing distribution range shifts in many organisms worldwide. Multiple efforts are currently focused on the development of models to better predict distribution range shifts due to GCC. We addressed this issue by includ
关键词	Arabidopsis thaliana geographical genetic structure global climate change hierarchical Bayesian models Maxent >spatial autocorrelation
学科领域	Biochemistry & Molecular Biology;Ecology;Evolutionary Biology
语种	英语
WOS记录号	WOS:000471830200010
来源期刊	MOLECULAR ECOLOGY RESOURCES
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/82011
作者单位	CSIC, EBD, Dept Ecol Integrat, Seville, Spain
推荐引用方式 GB/T 7714	Martinez-Minaya, Joaquin,Conesa, David,Fortin, Marie-Josee,et al. A hierarchical Bayesian Beta regression approach to study the effects of geographical genetic structure and spatial autocorrelation on species distribution range shifts[J],2019,19(4):929-943.
APA	Martinez-Minaya, Joaquin,Conesa, David,Fortin, Marie-Josee,Alonso-Blanco, Carlos,Xavier Pico, F.,&Marcer, Arnald.(2019).A hierarchical Bayesian Beta regression approach to study the effects of geographical genetic structure and spatial autocorrelation on species distribution range shifts.MOLECULAR ECOLOGY RESOURCES,19(4),929-943.
MLA	Martinez-Minaya, Joaquin,et al."A hierarchical Bayesian Beta regression approach to study the effects of geographical genetic structure and spatial autocorrelation on species distribution range shifts".MOLECULAR ECOLOGY RESOURCES 19.4(2019):929-943.