气候变化领域集成服务门户(CCPortal): The relationship between leaf physiognomy and climate based on a large modern dataset: Implications for palaeoclimate reconstructions in China

CCPortal

DOI	10.1016/j.palaeo.2019.04.022
	The relationship between leaf physiognomy and climate based on a large modern dataset: Implications for palaeoclimate reconstructions in China
	Chen W.-Y.; Su T.; Jia L.-B.; Zhou Z.-K.
发表日期	2019
ISSN	0031-0182
起始页码	1
结束页码	13
卷号	527
英文摘要	In this paper, correlation between modern leaf physiognomy and climate in China are examined, to optimize the use of leaf characters as a palaeoclimate proxy. A large dataset was compiled, recording the distribution of leaf physiognomic characters among 3166 native dicot trees species across 732 calibration grids on a county level. Grids span a range of ecological environments (tropical rainforests to alpine shrubs) across humid areas. Thirteen climatic parameters were included for each grid and 22 leaf physiognomic characters were scored for each tree species. The correlation between leaf physiognomic characters and climatic parameters were calculated based on single linear regressions (SLR) and multiple linear regressions (MLR). Results indicate clear spatial distribution patterns, linked to latitude, exist for all leaf characters, with temperature (Coldest Month Mean Temperature, CMMT) and precipitation (Growing Season Precipitation, GSP) being the main climate controls. Moreover, because leaf characters are more closely correlated with Precipitation during the Three Wettest Consecutive Months (P3WET), rather than with Precipitation during the Three Driest Consecutive Months (P3DRY), seasonal variations in rainfall associated with the Asian Monsoon might especially influence leaf physiognomic characters. Closer correlations between leaf physiognomy and climate are seen using MLR compared with SLR; therefore Mean Annual Temperature (MAT) and Mean Annual Precipitation (MAP) based on MLR equations provide the most promising basis for palaeoclimate reconstructions in China. © 2019 Elsevier B.V.
英文关键词	Asian Monsoon; Dicot trees; Distribution pattern; Multivariate statistics; Precipitation; Temperature
语种	英语
scopus关键词	data set; leaf; monsoon; multivariate analysis; paleoclimate; precipitation (climatology); proxy climate record; reconstruction; seasonal variation; spatial distribution; temperature effect; tree; Asia; China; Dicotyledoneae
来源期刊	Palaeogeography, Palaeoclimatology, Palaeoecology
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/150948
作者单位	Department of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China; CAS Key laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, 666303, China; Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China
推荐引用方式 GB/T 7714	Chen W.-Y.,Su T.,Jia L.-B.,et al. The relationship between leaf physiognomy and climate based on a large modern dataset: Implications for palaeoclimate reconstructions in China[J],2019,527.
APA	Chen W.-Y.,Su T.,Jia L.-B.,&Zhou Z.-K..(2019).The relationship between leaf physiognomy and climate based on a large modern dataset: Implications for palaeoclimate reconstructions in China.Palaeogeography, Palaeoclimatology, Palaeoecology,527.
MLA	Chen W.-Y.,et al."The relationship between leaf physiognomy and climate based on a large modern dataset: Implications for palaeoclimate reconstructions in China".Palaeogeography, Palaeoclimatology, Palaeoecology 527(2019).