Mapping local and global variability in plant trait distributions
Our ability to understand and predict the response of ecosystems to a changing environment depends on quantifying vegetation functional diversity. However, representing this diversity at the global scale is challenging. Typically, in Earth system models, characterization of plant diversity has been...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2017
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/22879
- Acceso en línea:
- https://doi.org/10.1073/pnas.1708984114
https://repository.urosario.edu.co/handle/10336/22879
- Palabra clave:
- Nitrogen
Phosphorus
Article
Bayes theorem
Concentration (parameters)
Data base
Environment
Evergreen
Leaf area
Leaf litter
Model
Nonhuman
Plant
Prediction
Priority journal
Ecosystem
Geography
Plant dispersal
Quantitative trait
Spatial analysis
Statistical model
Ecosystem
Environment
Geography
Plant dispersal
Plants
Spatial analysis
Bayesian modeling
Climate
Global
Plant traits
Spatial statistics
statistical
heritable
Models
Quantitative trait
- Rights
- License
- Abierto (Texto Completo)