The relationship between leaf physiognomy and climate based on a large modern dataset: Implications for palaeoclimate reconstructions in China
Chen, Wen-Yun1; Su, Tao2; Jia, Lin-Bo3; Zhou, Zhe-Kun3
Corresponding AuthorChen, Wen-Yun(chenwy@mail.kib.ac.cn) ; Zhou, Zhe-Kun(zhouzk@mail.kib.ac.cn)
2019-08-01
Source PublicationPALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY
ISSN0031-0182
Volume527Pages:1-13
AbstractIn 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.
KeywordDicot trees Distribution pattern Asian Monsoon Multivariate statistics Precipitation Temperature
DOI10.1016/j.palaeo.2019.04.022
Indexed BySCI
Language英语
WOS Research AreaPhysical Geography ; Geology ; Paleontology
WOS SubjectGeography, Physical ; Geosciences, Multidisciplinary ; Paleontology
WOS IDWOS:000472242100001
Citation statistics
Document Type期刊论文
Identifierhttp://ir.kib.ac.cn/handle/151853/67259
Collection中国科学院东亚植物多样性与生物地理学重点实验室
Corresponding AuthorChen, Wen-Yun; Zhou, Zhe-Kun
Affiliation1.Chinese Acad Sci, Dept Econ Plants & Biotechnol, Yunnan Key Lab Wild Plant Resources, Kunming Inst Bot, Kunming 650201, Yunnan, Peoples R China
2.Chinese Acad Sci, Xishuangbanna Trop Bot Garden, CAS Key Lab Trop Forest Ecol, Mengla 666303, Peoples R China
3.Chinese Acad Sci, Kunming Inst Bot, Key Lab Plant Divers & Biogeog East Asia, Kunming 650201, Yunnan, Peoples R China
Recommended Citation
GB/T 7714
Chen, Wen-Yun,Su, Tao,Jia, Lin-Bo,et al. The relationship between leaf physiognomy and climate based on a large modern dataset: Implications for palaeoclimate reconstructions in China[J]. PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY,2019,527:1-13.
APA Chen, Wen-Yun,Su, Tao,Jia, Lin-Bo,&Zhou, Zhe-Kun.(2019).The relationship between leaf physiognomy and climate based on a large modern dataset: Implications for palaeoclimate reconstructions in China.PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY,527,1-13.
MLA Chen, Wen-Yun,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):1-13.
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