Spatially-explicit modeling of multi-scale drivers of aboveground forest biomass and water yield in watersheds of the Southeastern United States
Understanding ecosystem processes and the influence of regional scale drivers can provide useful information for managing forest ecosystems. Examining more local scale drivers of forest biomass and water yield can also provide insights for identifying and better understanding the effects of climate...
- 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:10336/22343
- Acceso en línea:
- https://doi.org/10.1016/j.jenvman.2017.05.013
https://repository.urosario.edu.co/handle/10336/22343
- Palabra clave:
- Organic matter
Rain
Water
Water
Aboveground biomass
Biophysics
Climate change
Ecoregion
Ecosystem modeling
Ecosystem service
Forest ecosystem
Forest management
Leaf area index
Organic matter
Spatial analysis
Trade-off
Watershed
Aboveground forest biomass
Article
Biomass
Climate change
Driver
Driving ability
Ecosystem
Environmental management
Environmental parameters
Environmental temperature
Forest
Forest management
Geographically weighted regression
Human
Land use
Mathematical model
Rock
United states
Water content
Water supply
Water supply and stress index
Watershed
Climate change
United states
Biomass
Climate change
Ecosystem
Forests
Southeastern united states
Water
Drivers
Ecoregion
Ecosystem services
Geographically weighted regression
Trade-offs
Watershed
- Rights
- License
- Abierto (Texto Completo)