Abstract
Plants are subject to trade-offs among growth strategies such that adaptations for optimal growth in one condition can preclude optimal growth in another. Thus, we predicted that a plant species that responds positively to one global change treatment would be less likely than average to respond positively to another treatment, particularly for pairs of treatments that favor distinct traits. We examined plant species’ abundances in 39 global change experiments manipulating two or more of the following: CO2, nitrogen, phosphorus, water, temperature, or disturbance. Overall, the directional response of a species to one treatment was 13% more likely than expected to oppose its response to a another single-factor treatment. This tendency was detectable across the global data set, but held little predictive power for individual treatment combinations or within individual experiments. Although trade-offs in the ability to respond to different global change treatments exert discernible global effects, other forces obscure their influence in local communities.
Original language | English |
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Article number | e3626 |
Journal | Ecology |
Volume | 103 |
Issue number | 6 |
DOIs | |
State | Published - Jun 2022 |
Bibliographical note
Publisher Copyright:© 2021 The Ecological Society of America.
Funding
This work was conducted as a part of a LTER Synthesis Group funded by NSF grants EF‐0553768 to M. Avolio and K. Komatsu, and DEB 1545288 through the LTER Network Communications Office and the National Center for Ecological Analysis and Synthesis, UCSB to K. Komatsu, M. Avolio, and K. Wilcox. JA Langley acknowledges support from the NSF LTREB Program (DEB‐0950080, DEB‐1457100, and DEB‐1557009).
Funders | Funder number |
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National Science Foundation (NSF) | DEB 1545288, EF‐0553768 |
University of California, Santa Barbara | DEB‐1557009, DEB‐0950080, DEB‐1457100 |
Keywords
- data synthesis
- elevated CO
- global change experiments
- herbaceous plants
- irrigation
- nitrogen
- resource strategies
- warming
ASJC Scopus subject areas
- Ecology, Evolution, Behavior and Systematics