Contrasting trait responses in plant communities to experimental and geographic variation in precipitation.
• Patterns of precipitation are likely to change significantly in the coming century, with important but poorly understood consequences for plant communities. Experimental and correlative studies may provide insight into expected changes, but little research has addressed the degree of concordance between these approaches. • We synthesized results from four experimental water addition studies with a correlative analysis of community changes across a large natural precipitation gradient in the United States. We investigated whether community composition, summarized with plant functional traits, responded similarly to increasing precipitation among studies and sites. • In field experiments, increased precipitation favored species with small seed size, short leaf life span and high leaf nitrogen (N) concentration. However, with increasing precipitation along the natural gradient, community composition shifted towards species with higher mean seed mass, longer leaf life span and lower leaf N concentrations. • The differences in temporal and spatial scale of experimental manipulations and natural gradients may explain these contrasting results. Our results highlight the complexity of responses to climate change, and suggest that transient dynamics may not reflect long-term shifts in functional diversity and community composition. We propose a model of community change that incorporates these differences between short- and long-term responses to climate change.
Sandel
Brody
B
Department of Integrative Biology, University of California, Berkeley, CA 94720, USA. brody.sandel@biology.au.dk
Goldstein
Leah J
LJ
Kraft
Nathan J B
NJ
Okie
Jordan G
JG
Shuldman
Michal I
MI
Ackerly
David D
DD
Cleland
Elsa E
EE
Suding
Katharine N
KN
D018533:Biomass; D005843:Geography; D009584:Nitrogen / Q000378:metabolism; D009929:Organ Size; D010944:Plants / Q000235:genetics*; D019655:Quantitative Trait, Heritable; D011891:Rain; D012044:Regression Analysis; D012639:Seeds / Q000033:anatomy & histology
D009584:Nitrogen