BACKGROUND AND AIMS: Although plant functional traits (PFTs) appear to be important indicators of species' responses to land use changes, there is no clear understanding of how the variations in traits and their plasticity determine variations in species performance. This study investigated the role of functional shoot traits and their plasticity for variation in above-ground net primary productivity (ANPP) due to changes in N supply and in cutting frequency for 13 native perennial C(3) grass species. METHODS: Monocultures of the grass species were grown in a fully factorial block design combining plant species, cutting frequency and N supply as factors. KEY RESULTS: Four major trait associations were obtained by reducing the dimensions of 14 PFTs with a principal component analysis (PCA).Variations in species' productivity in response to an increase in cutting frequency was mainly explained by traits linked to the first PCA axis, opposing high plant stature from lower shoot cellulose and lignin contents and high leaf N content. Variation in species productivity in response to change in N supply was mainly explained by a set of predictor variables combining traits (average flowering date) and a trait's plasticity (tiller density per unit land area and leaf dry matter content, i.e. mg dry matter g fresh mass(-1)). These traits involved are linked to the second PCA axis ('nutrient acquisition-conservation'), which opposes distinct strategies based on response to nutrient supply. CONCLUSIONS: Variations in ANPP of species in response to an increase in cutting frequency and a decrease in N supply are controlled by a group of traits, rather than by one individual trait. Incorporating plasticity of the individual traits into these trait combinations was the key to explaining species' productivity responses, accounting for up to 89 % of the total variability in response to the changes in N supply.
BACKGROUND AND AIMS: Although plant functional traits (PFTs) appear to be important indicators of species' responses to land use changes, there is no clear understanding of how the variations in traits and their plasticity determine variations in species performance. This study investigated the role of functional shoot traits and their plasticity for variation in above-ground net primary productivity (ANPP) due to changes in N supply and in cutting frequency for 13 native perennial C(3) grass species. METHODS: Monocultures of the grass species were grown in a fully factorial block design combining plant species, cutting frequency and N supply as factors. KEY RESULTS: Four major trait associations were obtained by reducing the dimensions of 14 PFTs with a principal component analysis (PCA).Variations in species' productivity in response to an increase in cutting frequency was mainly explained by traits linked to the first PCA axis, opposing high plant stature from lower shoot cellulose and lignin contents and high leaf N content. Variation in species productivity in response to change in N supply was mainly explained by a set of predictor variables combining traits (average flowering date) and a trait's plasticity (tiller density per unit land area and leaf dry matter content, i.e. mg dry matter g fresh mass(-1)). These traits involved are linked to the second PCA axis ('nutrient acquisition-conservation'), which opposes distinct strategies based on response to nutrient supply. CONCLUSIONS: Variations in ANPP of species in response to an increase in cutting frequency and a decrease in N supply are controlled by a group of traits, rather than by one individual trait. Incorporating plasticity of the individual traits into these trait combinations was the key to explaining species' productivity responses, accounting for up to 89 % of the total variability in response to the changes in N supply.
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; Sandra Lavorel; Francesco de Bello; Fabien Quétier; Karl Grigulis; T Matthew Robson Journal: Proc Natl Acad Sci U S A Date: 2007-12-19 Impact factor: 11.205
Authors: Ian J Wright; Peter B Reich; Johannes H C Cornelissen; Daniel S Falster; Eric Garnier; Kouki Hikosaka; Byron B Lamont; William Lee; Jacek Oleksyn; Noriyuki Osada; Hendrik Poorter; Rafael Villar; David I Warton; Mark Westoby Journal: New Phytol Date: 2005-05 Impact factor: 10.151
Authors: Vincent Maire; Nicolas Gross; David Hill; Raphaël Martin; Christian Wirth; Ian J Wright; Jean-François Soussana Journal: PLoS One Date: 2013-10-09 Impact factor: 3.240