10.5061/DRYAD.DN433
Evans, Jeffrey A.
University of Illinois System
Lankau, Richard A.
University of Georgia
Davis, Adam S.
University of Illinois System
Raghu, S.
Commonwealth Scientific and Industrial Research Organisation
Landis, Douglas A.
Center for Integrated Plant Systems Lab 578 Wilson Road, Room 204 East
Lansing MI48824 USA
Data from: Soil-mediated eco-evolutionary feedbacks in the invasive plant
Alliaria petiolata
Dryad
dataset
2017
soil root feedback
sinigrin
reciprocal feedbacks
eco-evo
eco-evolutionary feedbacks
Alliaria petiolata
2017-05-04T00:00:00Z
2017-05-04T00:00:00Z
en
https://doi.org/10.1111/1365-2435.12685
53670 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Ecological and evolutionary processes historically have been assumed to
operate on significantly different time scales. We know now from theory
and work in experimental and model systems that these processes can feed
back on each other on mutually relevant time scales. Here, we present
evidence of a soil-mediated eco-evolutionary feedback on the population
dynamics of an invasive biennial plant, Alliaria petiolata. As populations
age, natural selection drives down production of A. petiolata's
important anti-mycorrhizal allelochemical, sinigrin. This occurs due to
density dependent selection on sinigrin, which is favored under
interspecific, but disfavored under intraspecific, competition. We show
that population stochastic growth rates (λS) and plant densities are
positively related to sinigrin concentration measured in seedling roots.
This interaction is mediated by sinigrin's positive effect on
seedling and summer survival, which are important drivers of λS. Together,
these illustrate how the evolution of a trait shaped by natural selection
can influence the ecology of a species over a period of just years to
decades, altering its trajectory of population growth and interactions
with the species in the soil and plant communities it invades. Our
findings confirm predictions that eco-evolutionary feedbacks occur in
natural populations. Furthermore, they improve our conceptual framework
for projecting future population growth by linking variation in plant
demography to a critical competitive trait (sinigrin) whose selective
advantages decrease as populations age.
Code and Data SupplementThis supplement contains all the code and data
necessary to reproduce the full results and figures from the paper. Users
will need to install R version 1.1.3 and follow the instructions in the
README file. -Jeff EvansEvans_et_al_Code_Supplement.zip