近日，中國科學(xué)院昆明植物研究所古氣候變遷與物種演變周浙昆研究員帶領(lǐng)的古氣候變遷與物種演變研究組近年來一直從事中國新生代植物群古氣候重建方面的研究,，重點(diǎn)對(duì)橫斷山地區(qū)的新生代植物群開展了深入的研究,，定量重建了晚中新世云南開遠(yuǎn)和臨滄兩個(gè)古植物群的古氣候。兩項(xiàng)研究成果均發(fā)表于國際古生物學(xué)領(lǐng)域著名學(xué)術(shù)期刊Palaeogeography, Palaeoclimatology, Palaeoecology（JCR Top 15%,，Paleontology）,。
此項(xiàng)研究選取了中國從南至北50個(gè)非干旱區(qū)域的森林植被為采樣點(diǎn)，研究了采樣點(diǎn)內(nèi)所有木本雙子葉植物葉片形態(tài)特征組合與年均溫的相關(guān)性,，從而建立了葉緣—年均溫中國模型,。這一模型表明，葉緣—年均溫中國模型與葉緣—年均溫北美模型最為接近,，表明兩地區(qū)葉片形態(tài)與氣候相關(guān)性的相似性,，矯正了以往國際上最為常用的定量重建古年均溫模型；同時(shí),，這一研究成果為中國新生代化石植物群的古氣候研究提供了更為可靠的模型,。目前，該研究組仍在繼續(xù)深入挖掘葉片形態(tài)所蘊(yùn)含的更多氣候參數(shù)信息,，為新生代的古氣候定量重建提供更多可靠的研究模型,。（生物谷Bioon.com）
生物谷推薦原文出處：
PALAIOS 25(4):234-238. 2010
LEAF MARGIN ANALYSIS: A NEW EQUATION FROM HUMID TO MESIC FORESTS IN CHINA
TAO SU1,2,3, YAO-WU XING1,2,3, YU-SHENG (CHRISTOPHER) LIU4,e,*, FRéDéRIC M.B. JACQUES1, WEN-YUN CHEN1,2, YONG-JIANG HUANG1,2, and ZHE-KUN ZHOU1,e,*
1Key Laboratory of Biodiversity and Biogeography, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650204, China
2Graduate University of the Chinese Academy of Sciences, Beijing 100049, China
3State Key Laboratory of Paleobiology and Stratigraphy, Nanjing Institute of Geology and Paleontology, Chinese Academy of Sciences, Nanjing 210008, China
4Department of Biological Sciences and Don Sundquist Center of Excellence in Paleontology, Box 70703, East Tennessee State University, Johnson City, Tennessee 37614-1710, USA
Leaf margin analysis (LMA) is a widely used method that applies present-day linear correlation between the proportion of woody dicotyledonous species with untoothed leaves (P) and mean annual temperature (MAT) to estimate paleotemperatures from fossil leaf floras. Previous works demonstrate that LMA shows regional constraints and to date, no equation has been modeled directly from Chinese forests. Fifty humid to mesic Chinese forests were chosen to understand the relationship between percentage of untoothed leaf species and MAT in China. Consistent with previous studies, the Chinese data indicate that P shows a strong linear correlation with MAT, but the actual relationship is a little different from those recognized from other regions. Among the several currently used LMA equations, the one resulting from North and Central American and Japanese data, rather than the widely used East Asian LMA equation, yields the closest values to the actual MATs of the Chinese samples (mean absolute error = 1.9 °C). A new equation derived from the Chinese forests is therefore developed, where MAT = 1.038 + 27.6 × P. This study not only demonstrates the similarity of the relationship between P and MAT in the Northern Hemisphere, but also improves the reliability of LMA for paleoclimate reconstructions of Chinese paleofloras.
