Tundra Trait Team

Project: Research

Project participants

  • Haider, Sylvia (Project staff)
  • Bjorkmann, Anne (Project manager, academic)
  • Myers-Smith, Isla H. (Project manager, academic)

Description

The Tundra Trait Team is an inclusive group of tundra ecologists involved in ongoing efforts to understand patterns of functional trait variation across scales, identify changes in functional traits in response to climate warming, and better understand the consequences of these changes for tundra ecosystem functioning.

The TTT was founded by Anne Bjorkman and Isla Myers-Smith in association with members of the sTundra working group (German Centre for Integrative Biodiversity Research; iDiv) in an effort to increase the depth and breadth of trait data available for tundra plant species. The only requirement for membership of the TTT is the contribution of trait data; all are welcome to join. The Tundra Trait Team collaborates with the TRY plant trait database.
AcronymTTT
StatusActive
Period10.05.18 → …

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Publications

  1. Effectiveness of a guided multicomponent internet and mobile gratitude training program - A pragmatic randomized controlled trial
  2. Study on the effects of tool design and process parameters on the robustness of deep drawing
  3. A Proposal for Integrating Theories of Complexity for Better Understanding Global Systemic Risks
  4. Model-based logistic controlling of converging material flows
  5. A Cross-Classified CFA-MTMM Model for Structurally Different and Nonindependent Interchangeable Methods
  6. Anomaly detection in formed sheet metals using convolutional autoencoders
  7. Reading and Calculating in Word Problem Solving
  8. Challenges and boundaries in implementing social return on investment
  9. Machine Learning and Knowledge Discovery in Databases
  10. Challenges in detecting proximal effects of existential threat on lie detection accuracy
  11. Lyapunov stability analysis to set up a PI controller for a mass flow system in case of a non-saturating input
  12. »HOW TO MAKE YOUR OWN SAMPLES«
  13. Changing Data Collection Methods Means Different Kind of Data
  14. Design of controllers applied to autonomous unmanned aerial vehicles using software in the loop
  15. Exploration strategies, performance, and error consequences when learning a complex computer task
  16. How, when and why do negotiators use reference points?
  17. There is no Software, there are just Services: Introduction
  18. Use of Machine-Learning Algorithms Based on Text, Audio and Video Data in the Prediction of Anxiety and Post-Traumatic Stress in General and Clinical Populations
  19. Constraint breeds creativity
  20. A computational study of a model of single-crystal strain-gradient viscoplasticity with an interactive hardening relation
  21. Lyapunov Convergence Analysis for Asymptotic Tracking Using Forward and Backward Euler Approximation of Discrete Differential Equations
  22. Sensor Fusion for Power Line Sensitive Monitoring and Load State Estimation
  23. Combining multiple investigative approaches to unravel functional responses to global change in the understorey of temperate forests
  24. From "cracking the orthographic code" to "playing with language"
  25. Comparison of Bio-Inspired Algorithms in a Case Study for Optimizing Capacitor Bank Allocation in Electrical Power Distribution
  26. Towards a Bayesian Student Model for Detecting Decimal Misconceptions
  27. A localized boundary element method for the floating body problem
  28. Evaluation of standard ERP software implementation approaches in terms of their capability for business process optimization