气候变化领域集成服务门户(CCPortal): Detecting climate signals cascading through levels of biological organization

CCPortal

DOI	10.1038/s41558-023-01760-y
	Detecting climate signals cascading through levels of biological organization
	Gamelon, Marlene; Jenouvrier, Stephanie; Lindner, Melanie; Saether, Bernt-Erik; Visser, Marcel E.
发表日期	2023
ISSN	1758-678X
EISSN	1758-6798
起始页码	985
结束页码	+
卷号	13 期号:9
英文摘要	The authors define the time of emergence-the time at which climate change signals emerge from the noise of ecosystem variability-for the great tit Parus major. They show that the time of emergence differs across levels, occurring earlier at the population level rather than at the trait or vital rate levels. Threats to species under climate change can be understood as a time at which the signal of climate change in ecological processes emerges from the noise of ecosystem variability, defined as 'time of emergence' (ToE). Here we show that ToE for the great tit (Parus major) will occur earlier at the level of population size than trait (laying date) and vital rates (survival, recruitment) under the RCP 8.5 scenario, suggesting an amplified climate change signal at the population level. ToE thus varies across levels of biological organization that filter trends and variability in climate differently. This has implications for the detection of climate impacts on wild species, as a shift in population size may precede changes in traits and vital rates. Further work would need to identify the ecological level that may experience an earlier detection of the climate signal for species with contrasting life histories, climate trends and variability.
英文关键词	ESTIMATING DENSITY-DEPENDENCE; GREAT TITS; PHENOTYPIC PLASTICITY; WILD BIRD; POPULATION; BEECH; FREQUENCY; MIGRATION; SELECTION; PATTERNS
WOS研究方向	Environmental Sciences ; Environmental Studies ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:001048833600002
来源期刊	Nature Climate Change
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/282402
作者单位	Universite Claude Bernard Lyon 1; Centre National de la Recherche Scientifique (CNRS); CNRS - Institute of Ecology & Environment (INEE); VetAgro Sup; Norwegian University of Science & Technology (NTNU); Woods Hole Oceanographic Institution; Royal Netherlands Academy of Arts & Sciences; Netherlands Institute of Ecology (NIOO-KNAW); University of Groningen
推荐引用方式 GB/T 7714	Gamelon, Marlene,Jenouvrier, Stephanie,Lindner, Melanie,et al. Detecting climate signals cascading through levels of biological organization[J],2023,13(9).
APA	Gamelon, Marlene,Jenouvrier, Stephanie,Lindner, Melanie,Saether, Bernt-Erik,&Visser, Marcel E..(2023).Detecting climate signals cascading through levels of biological organization.Nature Climate Change,13(9).
MLA	Gamelon, Marlene,et al."Detecting climate signals cascading through levels of biological organization".Nature Climate Change 13.9(2023).