Published May 31, 2022 | Version v1
Dataset Open

Water availability dictates how plant traits predict demographic rates

  • 1. University of Wyoming
  • 2. Utah State University
  • 3. Agricultural Research Service - Plains Area
  • 4. Cleveland State University
  • 5. Colorado State University

Description

A major goal in ecology is to make generalizable predictions of organism responses to environmental variation based on their traits. However, straightforward relationships between traits and fitness are rare and likely vary with environmental context. Characterizing how traits mediate demographic responses to the environment may enhance predictions of organism responses to global change. We synthesized 15 years of demographic data and species-level traits in a shortgrass steppe to determine whether the effects of leaf and root traits on growth and survival depend on seasonal water availability. We predicted that (1) species with drought-tolerant traits, such as lower leaf turgor loss point (TLP) and higher leaf and root dry matter content (LDMC and RDMC), would be more likely to survive and grow in drier years due to higher wilting resistance, (2) these traits would not predict fitness in wetter years, and (3) traits that more directly measure physiological mechanisms of water use such as TLP would best predict demographic responses. We found that graminoids with more negative TLP and higher LDMC and RDMC had higher survival rates in drier years. Forbs demonstrated similar yet more variable responses. Graminoids grew larger in wetter years, regardless of traits. However, in both wet and dry years, graminoids with more negative TLP and higher LDMC and RDMC grew larger than less negative TLP and low LDMC and RDMC species. Traits significantly mediated the impact of drought on survival, but not growth, suggesting survival could be a stronger driver of species' drought response in this system. TLP predicted survival in drier years, but easier-to-measure LDMC and RDMC were equal or better predictors. These results advance our understanding of the mechanisms by which drought drives population dynamics, and show that abiotic context determines how traits drive fitness.

Notes

Demographic Data The demographic data is in two files: one for that has data for species measured as points (forbs), and another that has data for species measured as polygons (graminoids). The points data file does not have information for "area_t" or "area_tplus1" because size was not measured for species measured as points. 

Trait Data This file shows mean trait values for each species for each trait. Mean values for leaf traits were calculated from at least five replicates for each species. 

Funding provided by: University of Wyoming
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100008106
Award Number:

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