Predicting drought tolerance from slope aspect preference in restored plant communities
Citation
Kimball, Sarah; Lulow, Megan; Balazs, Kathleen; Huxman, Travis (2017), Predicting drought tolerance from slope aspect preference in restored plant communities, Dryad, Dataset, https://doi.org/10.7280/D1JD4X
Abstract
Plants employ strategies of tolerance, endurance, and avoidance to cope with
aridity in space and time, yet understanding the differential importance of such
strategies in determining patterns of abundance across a heterogeneous landscape
is a challenge. Are the species abundant in drier microhabitats also better able to
survive drought? Are there relationships among occupied sites and temporal
dynamics that derive from physiological capacities to cope with stress or dormancy
during unfavorable periods? We used a restoration project conducted on two
slope aspects in a subwatershed to test whether species that were more abundant
on more water-limited S-facing slopes were also better able to survive an extreme
drought. The attempt to place many species uniformly on different slope aspects
provided an excellent opportunity to test questions of growth strategy, niche
preference, and temporal dynamics. Perennial species that established and grew
best on S-facing slopes also had greater increases in cover during years of drought,
presumably by employing drought tolerance and endurance techniques. The
opposite pattern emerged for annual species that employed drought-escape
strategies, such that annuals that occupied S-facing slopes were less abundant
during the drought than those that were more abundant on N-facing slopes. Our
results clarify how different functional strategies interact with spatial and temporal
heterogeneity to influence population and community dynamics and demonstrate
how large restoration projects provide opportunities to test fundamental ecological
questions.
Methods
Each May (late Spring at our study site), from 2012 to 2015, we used
point-intercept,
with 24 points per 5 × 5 m plot, to determine the percent
cover of all species.