A data-conditioned stochastic parameterization of temporal plant trait variability in an ecohydrological model and the potential for plasticity

2019 ◽  
Vol 274 ◽  
pp. 184-194
Author(s):  
Shaoqing Liu ◽  
Gene-Hua Crystal Ng
2020 ◽  
Author(s):  
M. Robinson ◽  
A.L. Schilmiller ◽  
W.C. Wetzel

AbstractFor over 10,000 years humans have shaped plant traits through domestication. Studies of domestication have focused on changes to trait averages; however, plants also have characteristic levels of trait variability among their repeated parts, which can be heritable and mediate critical ecological interactions. Here, we ask how domestication selection has altered among-leaf trait variability using alfalfa (Medicago sativa), the oldest forage crop in the world. We found that domestication changed variability more than averages for multiple traits. Relative to wild progenitors, domesticates had elevated variability in specific leaf area, trichomes, C:N, and phytochemical concentrations and reduced variability in phytochemical composition among their leaves. Our work shows that within-plant trait variability is a novel facet of the domesticated plant phenotype, constituting a novel frontier of trait diversity within crop fields. As many critical biotic interactions occur at the scale of individual plants, our findings suggest that trait variability and diversity among leaves could act to magnify or counter the depauperate trait diversity often found at higher scales in agroecosystems.


Author(s):  
Tatjana Thiel ◽  
Sarah Gaschler ◽  
Karsten Mody ◽  
Nico Blüthgen ◽  
Barbara Drossel

Abstract We explore the hypothesis that intraspecific trait variability can be per se beneficial for the plant when the curvature of the herbivore response to this trait is concave downwards. This hypothesis is based on a mathematical relation for nonlinear averaging (Jensen’s inequality), leading to reduced herbivory when the trait distribution becomes broader. Our study introduces and investigates a model for plants and their insect herbivores that includes an unequal distribution of nutrient content between leaves. In contrast to earlier publications, we take into account the ability of herbivores to choose leaves, and the associated costs of this preference behavior. By performing computer simulations and analytic calculations, we find that this herbivore preference can considerably alter the conclusion cited above. In particular, we demonstrate that herbivore populations that show preference for leaves on which they grow well can benefit from large nutrient-level variability independently of the curvature of the herbivore response function, despite the cost for preference.


2019 ◽  
Author(s):  
Tatjana Thiel ◽  
Sarah Gaschler ◽  
Karsten Mody ◽  
Nico Blüthgen ◽  
Barbara Drossel

AbstractWe explore the hypothesis that intraspecific trait variability can be per se beneficial for the plant when the curvature of the herbivore response to this trait is concave downwards. This hypothesis is based on a mathematical relation for non-linear averaging (Jensen’s inequality), leading to reduced herbivory when the trait distribution becomes broader. Our study introduces and investigates a model for plants and their insect herbivores that includes an unequal distribution of nutrient content between leaves. In contrast to earlier publications, we take into account the ability of herbivores to choose leaves, and the associated costs. By performing computer simulations and analytic calculations, we find that this herbivore preference can considerably alter the conclusion cited above. In particular, we demonstrate that herbivore populations that show preference for leaves on which they grow well can benefit from large nutrient level variability independently of the curvature of the herbivore response function, and despite the cost for preference.


2021 ◽  
Vol 453 ◽  
pp. 109606
Author(s):  
Jessica Hetzer ◽  
Andreas Huth ◽  
Franziska Taubert

2021 ◽  
pp. 089020702110173
Author(s):  
Nadin Beckmann ◽  
Damian P Birney ◽  
Amirali Minbashian ◽  
Jens F Beckmann

The study aimed to investigate the status of within-person state variability in neuroticism and conscientiousness as individual differences constructs by exploring their (a) temporal stability, (b) cross-context consistency, (c) empirical links to selected antecedents, and (d) empirical links to longer term trait variability. Employing a sample of professionals ( N = 346) from Australian organisations, personality state data together with situation appraisals were collected using experience sampling methodology in field and repeatedly in lab-like settings. Data on personality traits, cognitive ability, and motivational mindsets were collected at baseline and after two years. Contingent (situation contingencies) and non-contingent (relative SD) state variability indices were relatively stable over time and across contexts. Only a small number of predictive effects of state variability were observed, and these differed across contexts. Cognitive ability appeared to be associated with state variability under lab-like conditions. There was limited evidence of links between short-term state and long-term trait variability, except for a small effect for neuroticism. Some evidence of positive manifold was found for non-contingent variability. Systematic efforts are required to further elucidate the complex pattern of results regarding the antecedents, correlates and outcomes of individual differences in state variability.


2021 ◽  
Author(s):  
Joshua G. Harrison ◽  
Lyra P. Beltran ◽  
C. Alex Buerkle ◽  
Daniel Cook ◽  
Dale R. Gardner ◽  
...  
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