Global intraspecific trait–climate relationships for grasses are linked to a species' typical form and function
Global intraspecific trait–climate relationships for grasses are linked to a species' typical form and function
复制标题
草类的全球种内性状与气候关系与物种的典型形态和功能有关
DOI:
10.1111/ecog.06586
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发表时间:
2023
期刊:
影响因子:
5.9
通讯作者:
Sandel, Brody
中科院分区:
文献类型:
--
作者:
Griffin‐Nolan, Robert J.;Sandel, Brody
Plant traits are useful for predicting how species may respond to environmental change and/or influence ecosystem properties. Understanding the extent to which traits vary within species and across climatic gradients is particularly important for understanding how species may respond to climate change. We explored whether climate drives spatial patterns of intraspecific trait variation for three traits (specific leaf area (SLA), plant height, and leaf nitrogen content (Nmass)) across 122 grass species (family: Poaceae) with a combined distribution across six continents. We tested the hypothesis that the sensitivity (i.e. slope) of intraspecific trait responses to climate across space would be related to the species' typical form and function (e.g. leaf economics, stature and lifespan). We observed both positive and negative intraspecific trait responses to climate with the distribution of slope coefficients across species straddling zero for precipitation, temperature and climate seasonality. As hypothesized, variation in slope coefficients across species was partially explained by leaf economics and lifespan. For example, acquisitive species with nitrogen‐rich leaves grew taller and produced leaves with higher SLA in warmer regions compared to species with low Nmass. Compared to perennials, annual grasses invested in leaves with higher SLA yet decreased height and Nmass in regions with high precipitation seasonality (PS). Thus, while the influence of climate on trait expression may at first appear idiosyncratic, variation in trait–climate slope coefficients is at least partially explained by the species' typical form and function. Overall, our results suggest that a species' mean location along one axis of trait variation (e.g. leaf economics) could influence how traits along a separate axis of variation (e.g. plant size) respond to spatial variation in climate.
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DOI:
10.6084/m9.figshare.c.3843841.v1
发表时间:
2018
期刊:
--
影响因子:
--
作者:
Ç. Tavşanoğlu
通讯作者:
Ç. Tavşanoğlu
影响因子:
6.4
作者:
Jordan R. Stark;J. Fridley;J. Gill
通讯作者:
J. Gill
影响因子:
2.3
作者:
Chieppa, Jeff;Power, Sally A.;Nielsen, Uffe N.
通讯作者:
Nielsen, Uffe N.
影响因子:
2.6
作者:
Segrestin J;Sartori K;Navas ML;Kattge J;Díaz S;Garnier E
通讯作者:
Garnier E
影响因子:
1.8
作者:
M. Navas;Julie Moreau
通讯作者:
Julie Moreau