Premium
Linking performance trait stability with species distribution: the case of Artemisia and its close relatives in northern China
Author(s) -
Yang Xuejun,
Huang Zhenying,
Venable David L.,
Wang Lei,
Zhang Keliang,
Baskin Jerry M.,
Baskin Carol C.,
Cornelissen Johannes H. C.
Publication year - 2016
Publication title -
journal of vegetation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.1
H-Index - 115
eISSN - 1654-1103
pISSN - 1100-9233
DOI - 10.1111/jvs.12334
Subject(s) - trait , niche , ecology , range (aeronautics) , biology , climate change , species distribution , biomass (ecology) , ecological niche , environmental niche modelling , environmental gradient , environmental change , china , geography , habitat , materials science , archaeology , computer science , composite material , programming language
Aims Understanding the relationship between species and environments is at the heart of ecology and biology. Ranges of species depend strongly on environmental factors, but our limited understanding of relationships between range and trait stability of species across environments hampers our ability to predict their future ranges. Species that occur over a wide range (and thus have wide niche breadth) will have high variation in morpho‐physiological traits in response to environmental conditions, thereby permitting stability of performance traits and enabling plants to survive in a range of environments. We hypothesized that species' niche breadth is negatively correlated with the rate of performance trait change along an environmental gradient. Location Northern China. Methods We analysed standing biomass and height of 48 species of Asteraceae ( Artemisia and its close relatives) collected from 65 sites along an environmental gradient across northern China. Results In support of our hypothesis, there were significant negative correlations between climatic niche breadth and rate of change in biomass, a performance trait, but not in height, which is both a morphological and a performance trait. Conclusions These findings have implications for risk assessment of species under climate change and prediction of unknown distributions of species. They also offer a new avenue of research for species distribution models.