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1. A Multi-Trait Comparison of an Urban Plant Species Pool Reveals the Importance of Intraspecific Trait Variation and Its Influence on Distinct Functional Responses to Soil Quality

   https://doi.org/10.3389/fevo.2020.00068  

   Borowy, Dorothy ; Swan, Christopher M. ( March 2020 , Frontiers in Ecology and Evolution)

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2. Corrigendum: The Coral Trait Database, a curated database of trait information for coral species from the global oceans

   https://doi.org/10.1038/sdata.2017.174  

   Madin, Joshua S. ; Anderson, Kristen D. ; Andreasen, Magnus Heide ; Bridge, Tom C.L. ; Cairns, Stephen D. ; Connolly, Sean R. ; Darling, Emily S. ; Diaz, Marcela ; Falster, Daniel S. ; Franklin, Erik C. ; et al ( December 2017 , Scientific Data)
3. Improving landscape‐scale productivity estimates by integrating trait‐based models and remotely‐sensed foliar‐trait and canopy‐structural data

   https://doi.org/10.1111/ecog.06078  

   Wieczynski, Daniel J. ; Díaz, Sandra ; Durán, Sandra M. ; Fyllas, Nikolaos M. ; Salinas, Norma ; Martin, Roberta E. ; Shenkin, Alexander ; Silman, Miles R. ; Asner, Gregory P. ; Bentley, Lisa Patrick ; et al ( May 2022 , Ecography)
4. Pavlovian occasion setting in human fear and appetitive conditioning: Effects of trait anxiety and trait depression

   https://doi.org/10.1016/j.brat.2021.103986  

   Zbozinek, Tomislav D ; Wise, Toby ; Perez, Omar D ; Qi, S ; Fanselow, Michael S ; Mobbs, Dean ( December 2021 , Behaviour research and therapy)

   Contexts and discrete stimuli often hierarchically influence the association between a stimulus and outcome. This phenomenon, called occasion setting, is central to modulation-based Pavlovian learning. We conducted two experiments with humans in fear and appetitive conditioning paradigms, training stimuli in differential conditioning, feature-positive discriminations, and feature-negative discriminations. We also investigated the effects of trait anxiety and trait depression on these forms of learning. Results from both experiments showed that participants were able to successfully learn which stimuli predicted the electric shock and monetary reward outcomes. Additionally, as hypothesized, the stimuli trained as occasion setters had little-to-no effect on simple reinforced or non-reinforced stimuli, suggesting the former were indeed occasion setters. Lastly, in fear conditioning, trait anxiety was associated with increases in fear of occasion setter/conditional stimulus compounds; in appetitive conditioning, trait depression was associated with lower expectations of monetary reward for the trained negative occasion setting compound and transfer of the negative occasion setter to the simple reinforced stimulus. These results suggest that clinically anxious individuals may have enhanced fear of occasion setting compounds, and clinically depressed individuals may expect less reward with compounds involving the negative occasion setter. 

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5. Trait velocities reveal that mortality has driven widespread coordinated shifts in forest hydraulic trait composition

   https://doi.org/10.1073/pnas.1917521117  

   Trugman, Anna T. ; Anderegg, Leander D. L. ; Shaw, John D. ; Anderegg, William R. L. ( March 2020 , Proceedings of the National Academy of Sciences)

   Understanding the driving mechanisms behind existing patterns of vegetation hydraulic traits and community trait diversity is critical for advancing predictions of the terrestrial carbon cycle because hydraulic traits affect both ecosystem and Earth system responses to changing water availability. Here, we leverage an extensive trait database and a long-term continental forest plot network to map changes in community trait distributions and quantify “trait velocities” (the rate of change in community-weighted traits) for different regions and different forest types across the United States from 2000 to the present. We show that diversity in hydraulic traits and photosynthetic characteristics is more related to local water availability than overall species diversity. Finally, we find evidence for coordinated shifts toward communities with more drought-tolerant traits driven by tree mortality, but the magnitude of responses differs depending on forest type. The hydraulic trait distribution maps provide a publicly available platform to fundamentally advance understanding of community trait change in response to climate change and predictive abilities of mechanistic vegetation models.

    

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