Leaf form–climate relationships on the global stage: an ensemble of characters

Global Ecology and Biogeography - Tập 24 Số 10 - Trang 1113-1125 - 2015
Jian Yang1, Robert A. Spicer2,1, Teresa E.V. Spicer1, Nan Crystal Arens3, Frédéric M.B. Jacques4, Tao Su4, Elizabeth M. Kennedy5, Alexei B. Herman6, David C. Steart7, Gaurav Srivastava8, R.C. Mehrotra8, Paul J. Valdes9, Naresh C. Mehrotra8, Zhe‐Kun Zhou10,4, Jiangshan Lai11
1State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
2Centre for Earth, Planetary, Space and Astronomical Research The Open University Milton Keynes MK7 6AA UK
3Department of Geoscience, Hobart and William Smith Colleges, Geneva, NY 14456, USA
4Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, 666303, Yunnan, China
5GNS Science /Te Pu Ao; PO Box 30,368 Lower Hutt 5040 New Zealand
6Geological Institute, Russian Academy of Sciences, 7 Pyzhevskii pereulok, 119017 Moscow, Russia
7Department of Earth Sciences, Natural History Museum, Cromwell Road, London, SW7 5BD, UK
8Birbal Sahni Institute of Palaeobotany, 53 University Road, Lucknow 226007 India
9School of Geographical Sciences, University of Bristol, University Road, Bristol, BS8 1SS, UK#TAB#
10Key Laboratory of Biodiversity and Biogeography, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650204, China
11State Key Laboratory of Vegetation and Environmental Change,#N#Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China

Tóm tắt

AbstractAimEarly in their evolution, angiosperms evolved a diversity of leaf form far greater than that of any other group of land plants. Some of this diversity evolved in response to varying climate. Our aim is to test the global relationship between leaf form in woody dicot angiosperms and the climate in which they live.LocationWe have compiled a data set describing leaf form (using 31 standardized categorical characters) from 378 natural or naturalized vegetation sites from around the world. Our data include sites from all continents except Antarctica and encompass biomes from tropical to taiga, over a range of elevations from 0.5 m to over 3000 m.MethodsWe chose the Climate Leaf Analysis Multivariate Program sampling, scoring and analytical protocols to test the relationships between climate and leaf form, which is based on canonical correspondence analysis. Cluster analysis evaluates the role of historical factors in shaping the patterns, and pairwise Pearson correlations examine the relationships among leaf characters.ResultsWoody dicot leaf characters form a physiognomic spectrum that reflects local climate conditions. On a global scale, correlations between leaf form and climate are consistent, irrespective of climate regime, vegetation type or biogeographic history. Relationships with temperature variables are maintained even when leaf margin characters, regarded as being particularly well correlated with mean annual temperature, are removed.Main conclusionsIn natural woody dicot vegetation an integrated spectrum of leaf form has developed across multiple leaf character states and species. This spectrum appears more strongly influenced by prevailing climate than biogeographic history. The covariation of leaf traits across species suggests strong integration of leaf form. New methods of exploring structure in multidimensional physiognomic space enable better application of leaf form to palaeoclimate reconstruction.

Từ khóa


Tài liệu tham khảo

10.1126/science.41.1066.831

10.1002/j.1537-2197.1916.tb05397.x

10.1890/0012-9658(1997)078[1250:TESOLA]2.0.CO;2

10.1146/annurev.es.16.110185.002051

10.2307/1938672

Cariglino B., 2005, Paleoclimate estimation from digital leaf physiognomy of fossil leaf floras: preliminary results, GSA Abstracts, 37, 137

10.1098/rspb.1995.0150

10.1002/tax.611016

Falconer D.S., 1996, Introduction to quantitative genetics

10.1111/j.1365-3040.2005.01354.x

10.1130/0016-7606(1999)111<0497:PIAPAB>2.3.CO;2

10.1023/A:1009846507652

Givnish T.J., 1984, Biological diversity in México: origins and distribution, 109

10.1007/s00114-008-0499-0

10.1046/j.1472-4642.1999.00058.x

10.1111/j.1469-8137.2005.01380.x

10.1666/0094-8373(2000)026<0668:RBLMAC>2.0.CO;2

10.1038/nature07031

10.1038/380330a0

10.1016/j.gloplacha.2010.11.009

Janesko D.A., 2004, Digital leaf physiognomy: an automated routine for analyzing size and shape of plant leaves for paleoclimate and paleoecological analysis, GSA Abstracts, 36, 63

10.1111/j.1469-8137.2011.03829.x

10.1111/j.1525-142X.2005.05028.x

Kennedy E.M., 2001, Abstracts and programme, Geological Society of New Zealand Annual Conference 2001 ‘Advances in geosciences’, University of Waikato, Hamilton

10.1016/S0031-0182(02)00261-4

10.1016/j.palaeo.2014.07.015

10.1016/j.gloplacha.2013.12.003

10.1371/journal.pbio.0030014

10.1080/10635150701636412

Kovach W.L., 1995, Canonical correspondence analysis of leaf physiognomy: a contribution to the development of a new palaeoclimatological tool, Palaeoclimates, 1, 125

10.1017/S0016756807004268

10.1016/j.agrformet.2007.05.007

10.1371/journal.pone.0015161

10.1086/284499

10.1016/j.epsl.2006.02.022

10.3354/cr021001

Olsen D.M., 2001, Terrestrial ecoregions of the world: a new map of life on Earth: a new global map of terrestrial ecoregions provides an innovative tool for conserving biodiversity, Bioscience, 51, 933, 10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2

10.5194/hessd-4-439-2007

Peppe D.J., 2009, Digital leaf physiognomy: using leaf size and shape to reconstruct ancient climates, GSA Abstracts, 41, 568

10.1111/j.1469-8137.2010.03615.x

10.1046/j.1461-0248.2003.00428.x

10.2307/2846036

R Core Team(2012)R: a language and environment for statistical computing.R Foundation for Statistical Computing Vienna Austria.

10.1002/wdev.115

10.3732/ajb.92.7.1141

10.3732/ajb.92.7.1141

Royer D.L., 2004, Digital leaf physiognomy: calibration of a new method for reconstructing climate from fossil plants, GSA Abstracts, 36, 95

Royer D.L., 2008, Digital leaf physiognomy: a multivariate technique for reconstructing climate from fossil leaves, GSA Abstracts, 40, 100

10.2307/1311138

10.1007/BF00378740

10.1016/j.palaeo.2014.08.004

10.1029/2010TC002741

10.1038/nature01356

10.1086/424579

10.1016/j.palaeo.2009.09.009

10.1016/j.palaeo.2012.05.002

10.1016/0169-5347(91)90090-K

10.1016/j.revpalbo.2010.08.002

10.1080/10635150290102474

10.1016/S0031-0182(96)00147-2

10.1016/j.palaeo.2010.10.031

10.1016/j.palaeo.2010.02.023

10.1111/j.1469-8137.2005.01316.x

Uhl D., 2007, Fossil leaves as palaeoclimate proxies in the Palaeogene of Spitsbergen (Svalbard), Acta Palaeobotanica, 47, 89

Upchurch G.R., 1987, The origin of angiosperms and their biological consequences, 75

10.1007/s12549-010-0022-4

10.1017/S0094837300019746

10.1098/rstb.1993.0109

Wolfe J.A., 1978, A paleobotanical interpretation of Tertiary climates in the Northern Hemisphere, American Science, 66, 694

Wolfe J.A., 1979, Temperature parameters of humid to mesic forests of Eastern Asia and relation to forests of other regions of the Northern Hemisphere and Australasia, Geological Survey Professional Paper, 1106, 1

10.1016/0031-0182(87)90040-X

10.1130/0091-7613(1999)027<0091:UFLAPI>2.3.CO;2

10.1073/pnas.84.15.5096

10.1111/1467-9868.00374

10.1111/j.1467-9868.2010.00749.x

10.1111/j.1469-8137.2005.01349.x

10.1007/s12549-011-0056-2

Thông tin
Thông tin xuất bản

Global Ecology and Biogeography

Tập 24 Số 10

1113-1125

Thông tin tác giả