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 → …

Recently viewed

Publications

  1. Analysis of PI controllers with anti-windup techniques on level systems
  2. Artificial Intelligence Algorithms for Collaborative Book Recommender Systems
  3. A discrete approximate solution for the asymptotic tracking problem in affine nonlinear systems
  4. Improving students’ science text comprehension through metacognitive self-regulation when applying learning strategies
  5. Authenticity and authentication in language learning
  6. Supporting the Development and Implementation of a Digitalization Strategy in SMEs through a Lightweight Architecture-based Method
  7. Appendix A: Design, implementation, and analysis of the iGOES project
  8. A guided simulated annealing search for solving the pick-up and delivery problem with time windows and capacity constraints
  9. Analyzing math teacher students' sensitivity for aspects of the complexity of problem oriented mathematics instruction
  10. ActiveMath - a Learning Platform With Semantic Web Features
  11. A Service-oriented Search framework for full text, geospatial and semantic search
  12. Evaluation of Time/Phase Parameters in Frequency Measurements for Inertial Navigation Systems
  13. Modelling and implementation of an Order2Cash Process in distributed systems
  14. Investigation and modeling of the material behavior due to evolving dislocation microstructures in fcc and bcc metals
  15. The Scalable Question Answering Over Linked Data (SQA) Challenge 2018
  16. FFTSMC with Optimal Reference Trajectory Generated by MPC in Robust Robotino Motion Planning with Saturating Inputs
  17. On the Nonlinearity Compensation in Permanent Magnet Machine Using a Controller Based on a Controlled Invariant Subspace
  18. A Review of Latent Variable Modeling Using R - A Step-by-Step-Guide
  19. Analysis and Implementation of a Resistance Temperature Estimator Based on Bi-Polynomial Least Squares Method and Discrete Kalman Filter
  20. An expert-based reference list of variables for characterizing and monitoring social-ecological systems
  21. Homogenization modeling of thin-layer-type microstructures
  22. Using nonlinear methods to quantify changes in infant limb movements and vocalizations
  23. Guided discovery learning with computer-based simulation games
  24. Machine Learning and Knowledge Discovery in Databases
  25. Integration of laser scanning and projection speckle pattern for advanced pipeline monitoring
  26. Derivative approximation using a discrete dynamic system
  27. Towards improved dispatching rules for complex shop floor scenarios - A genetic programming approach
  28. Emergency detection based on probabilistic modeling in AAL-environments
  29. Modeling Conditional Dependencies in Multiagent Trajectories
  30. An Orthogonal Wavelet Denoising Algorithm for Surface Images of Atomic Force Microscopy
  31. Enabling Road Condition Monitoring with an on-board Vehicle Sensor Setup
  32. Fixed-term Contracts and Wages Revisited Using Linked Employer-Employee Data from Germany
  33. Building a process layer for business applications using the blackboard pattern
  34. Analyzing User Journey Data In Digital Health: Predicting Dropout From A Digital CBT-I Intervention
  35. Probabilistic approach to modelling of recession curves