Ting-Ting Meng1, Jian Ni, Sandy P Harrison. 1. State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Xiangshan Nanxincun 20, 100093 Beijing, China. ting@ibcas.ac.cn
Abstract
BACKGROUND AND AIMS: The collection of field data on plant traits is time consuming and this makes it difficult to examine changing patterns of traits along large-scale climate gradients. The present study tests whether trait information derived from regional floras can be used in conjunction with pre-existing quadrat data on species presence to derive meaningful relationships between specific morphometric traits and climate. METHODS: Quadrat records were obtained for 867 species in 404 sites from northern China (38-49 degrees N, 82-132 degrees E) together with information on the presence/absence of key traits from floras. Bioclimate parameters for each site were calculated using the BIOME3 model. Principal component analysis and correlation analysis were conducted to determine the most important climate factors. The Akaike Information Criterion was used to select the best relationship between each trait and climate. Canonical correspondence analysis was used to explore the relationships between climate and trait occurrence. KEY RESULTS: The changing abundance of life form, leaf type, phenology, photosynthetic pathway, leaf size and several other morphometric traits are determined by gradients in plant-available moisture (as measured by the ratio of actual to potential evapotranspiration: alpha), growing-season temperature (as measured by growing degree-days on a 0 degrees base: GDD(0)) or a combination of these. Different plant functional types (PFTs, as defined by life form, leaf type and phenology) reach maximum abundance in distinct areas of this climate space: for example, evergreen trees occur in the coldest, wettest environments (GDD(0) < 2500 degrees Cd, alpha > 0.38), and deciduous scale-leaved trees occur in drier, warmer environments than deciduous broad-leaved trees. Most leaf-level traits show similar relationships with climate independently of PFT: for example, leaf size in all PFTs increases as the environment becomes wetter and cooler. However, some traits (e.g. petiole length) display different relationships with climate in different PFTs. CONCLUSIONS: Based on presence/absence species data and flora-based trait assignments, the present study demonstrates ecologically plausible trends in the occurrence of key plant traits along climate gradients in northern China. Life form, leaf type, phenology, photosynthetic pathway, leaf size and other key traits reflect climate. The success of these analyses opens the possibility of using quadrat- and flora-based trait analyses to examine climate-trait relationships in other regions of the world.
BACKGROUND AND AIMS: The collection of field data on plant traits is time consuming and this makes it difficult to examine changing patterns of traits along large-scale climate gradients. The present study tests whether trait information derived from regional floras can be used in conjunction with pre-existing quadrat data on species presence to derive meaningful relationships between specific morphometric traits and climate. METHODS: Quadrat records were obtained for 867 species in 404 sites from northern China (38-49 degrees N, 82-132 degrees E) together with information on the presence/absence of key traits from floras. Bioclimate parameters for each site were calculated using the BIOME3 model. Principal component analysis and correlation analysis were conducted to determine the most important climate factors. The Akaike Information Criterion was used to select the best relationship between each trait and climate. Canonical correspondence analysis was used to explore the relationships between climate and trait occurrence. KEY RESULTS: The changing abundance of life form, leaf type, phenology, photosynthetic pathway, leaf size and several other morphometric traits are determined by gradients in plant-available moisture (as measured by the ratio of actual to potential evapotranspiration: alpha), growing-season temperature (as measured by growing degree-days on a 0 degrees base: GDD(0)) or a combination of these. Different plant functional types (PFTs, as defined by life form, leaf type and phenology) reach maximum abundance in distinct areas of this climate space: for example, evergreen trees occur in the coldest, wettest environments (GDD(0) < 2500 degrees Cd, alpha > 0.38), and deciduous scale-leaved trees occur in drier, warmer environments than deciduous broad-leaved trees. Most leaf-level traits show similar relationships with climate independently of PFT: for example, leaf size in all PFTs increases as the environment becomes wetter and cooler. However, some traits (e.g. petiole length) display different relationships with climate in different PFTs. CONCLUSIONS: Based on presence/absence species data and flora-based trait assignments, the present study demonstrates ecologically plausible trends in the occurrence of key plant traits along climate gradients in northern China. Life form, leaf type, phenology, photosynthetic pathway, leaf size and other key traits reflect climate. The success of these analyses opens the possibility of using quadrat- and flora-based trait analyses to examine climate-trait relationships in other regions of the world.
Authors: Ian J Wright; Peter B Reich; Mark Westoby; David D Ackerly; Zdravko Baruch; Frans Bongers; Jeannine Cavender-Bares; Terry Chapin; Johannes H C Cornelissen; Matthias Diemer; Jaume Flexas; Eric Garnier; Philip K Groom; Javier Gulias; Kouki Hikosaka; Byron B Lamont; Tali Lee; William Lee; Christopher Lusk; Jeremy J Midgley; Marie-Laure Navas; Ulo Niinemets; Jacek Oleksyn; Noriyuki Osada; Hendrik Poorter; Pieter Poot; Lynda Prior; Vladimir I Pyankov; Catherine Roumet; Sean C Thomas; Mark G Tjoelker; Erik J Veneklaas; Rafael Villar Journal: Nature Date: 2004-04-22 Impact factor: 49.962
Authors: Sandra Díaz; Fabien Quétier; Daniel M Cáceres; Sarah F Trainor; Natalia Pérez-Harguindeguy; M Syndonia Bret-Harte; Bryan Finegan; Marielos Peña-Claros; Lourens Poorter Journal: Proc Natl Acad Sci U S A Date: 2011-01-10 Impact factor: 11.205
Authors: Michael L Zettler; C Edward Proffitt; Alexander Darr; Steven Degraer; Lisa Devriese; Clare Greathead; Jonne Kotta; Paolo Magni; Georg Martin; Henning Reiss; Jeroen Speybroeck; Davide Tagliapietra; Gert Van Hoey; Tom Ysebaert Journal: PLoS One Date: 2013-10-16 Impact factor: 3.240