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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 → …
Linkshttps://tundratraitteam.github.io/

Links

Recently viewed

Activities

  1. Is there only one modelling competency? The question of situated cognition when solving real world problems
  2. SIAM Conference on Applications of Dynamical Systems - DS 2023
  3. A geometric approach for the design and control of an electromagnetic actuator to optimize its dynamic performance
  4. Institutional Proxy Representatives of Future Generations: A Comparative Analysis of Types and Design Features
  5. Convergence analysis of an approximated response function of the impedance probe
  6. The calculated complexity of organisation: Im workshop „Identity and Organisation“.
  7. Workshop on Positioning, Navigation and Communications - WPNC 2016
  8. Context-based discrimination in school
  9. Enhancing metacognition by using flipping classroom with geogebra
  10. A Phenomenographical Study of Children's Spatial Thought while using Maps in Real Spaces
  11. A Wavelet Packet Algorithm for Online Detection of Pantograph Vibrations
  12. Uncertainty and Subjectivity in Provenance Linked Open Data
  13. From Iconography to Visual Framing: A New Approach in Visual Communication

Publications

  1. Gaussian processes for dispatching rule selection in production scheduling
  2. Using mixture distribution models to test the construct validity of the Physical Self-Description Questionnaire
  3. Comments on "Tracking Control of Robotic Manipulators With Uncertain Kinematics and Dynamics"
  4. Analysis of long-term statistical data of cobalt flows in the EU
  5. A discrete approximate solution for the asymptotic tracking problem in affine nonlinear systems
  6. Authenticity and authentication in language learning
  7. Learning Analytics with Matlab Grader in Undergraduate Engineering Courses
  8. Appendix A: Design, implementation, and analysis of the iGOES project
  9. Supporting the Development and Implementation of a Digitalization Strategy in SMEs through a Lightweight Architecture-based Method
  10. Improved sensorimotor control is not connected with improved proprioception
  11. A guided simulated annealing search for solving the pick-up and delivery problem with time windows and capacity constraints
  12. How Much Tracking Is Necessary? - The Learning Curve in Bayesian User Journey Analysis
  13. Analyzing math teacher students' sensitivity for aspects of the complexity of problem oriented mathematics instruction
  14. Evaluation of Time/Phase Parameters in Frequency Measurements for Inertial Navigation Systems
  15. An analytical approach to evaluating bivariate functions of fuzzy numbers with one local extremum
  16. Effectiveness of a guided multicomponent internet and mobile gratitude training program - A pragmatic randomized controlled trial
  17. On the Nonlinearity Compensation in Permanent Magnet Machine Using a Controller Based on a Controlled Invariant Subspace
  18. Dynamic environment modelling and prediction for autonomous systems
  19. Analysis and Implementation of a Resistance Temperature Estimator Based on Bi-Polynomial Least Squares Method and Discrete Kalman Filter
  20. The Scalable Question Answering Over Linked Data (SQA) Challenge 2018
  21. Machine Learning and Knowledge Discovery in Databases
  22. 7th open challenge on question answering over linked data (QALD-7)
  23. Simulating X-ray beam energy and detector signal processing of an industrial CT using implicit neural representations
  24. Towards improved dispatching rules for complex shop floor scenarios - A genetic programming approach
  25. Modeling Conditional Dependencies in Multiagent Trajectories
  26. Enabling Road Condition Monitoring with an on-board Vehicle Sensor Setup
  27. Fixed-term Contracts and Wages Revisited Using Linked Employer-Employee Data from Germany
  28. Stability analysis of a linear model predictive control and its application in a water recovery process
  29. Building a process layer for business applications using the blackboard pattern
  30. Analyzing User Journey Data In Digital Health: Predicting Dropout From A Digital CBT-I Intervention
  31. Probabilistic approach to modelling of recession curves