Teresa Cervera
Biographic Data
| ID | 2338075 |
|---|---|
| NAME | Teresa Cervera |
| GIVEN NAMES | Teresa |
| FAMILY NAME | Cervera |
| SIGNATURE | CERVERA T |
| AFFILIATIONS | Generalitat de Catalunya |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 6 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Impacts of forest management and climate change on carbon emissions in Mediterranean forests
We assessed full carbon balance for alternative forest management strategies • Manufacturing is the main C emission source, far surpassing harvest and transport • Promotion of bioenergy turns low-yield pine forests into carbon sources • Producing long-lived wood products boosts the forest’s net carbon sink potential • Adaptive management helps forests stay carbon sinks under climate change stress Forest management is crucial for climate change mi…
How do structural and agent-based factors influence the effectiveness of incentive policies? A spatially explicit agent-based model to optimize woodland-for-water PES policy design at the local level
Baulenas, E., T. Baiges, T. Cervera, and C. Pahl-Wostl. 2021. How do structural and agent-based factors influence the effectiveness of incentive policies? A spatially explicit agent-based model to optimize woodland-for-water PES policy design at the local level. Ecology and Society 26(2):10. https://doi.org/10.5751/ES-12325-260210
Understanding the long-term dynamics of forest transition
The Effects of Linguistic Context on Word Recognition in Noise by Elderly Listeners Using Spanish Sentence Lists (SSL)
Understanding the long-term dynamics of forest transition
How do structural and agent-based factors influence the effectiveness of incentive policies? A spatially explicit agent-based model to optimize woodland-for-water PES policy design at the local level
Baulenas, E., T. Baiges, T. Cervera, and C. Pahl-Wostl. 2021. How do structural and agent-based factors influence the effectiveness of incentive policies? A spatially explicit agent-based model to optimize woodland-for-water PES policy design at the local level. Ecology and Society 26(2):10. https://doi.org/10.5751/ES-12325-260210
The Effects of Linguistic Context on Word Recognition in Noise by Elderly Listeners Using Spanish Sentence Lists (SSL)
Understanding the long-term dynamics of forest transition
How do structural and agent-based factors influence the effectiveness of incentive policies? A spatially explicit agent-based model to optimize woodland-for-water PES policy design at the local level
Baulenas, E., T. Baiges, T. Cervera, and C. Pahl-Wostl. 2021. How do structural and agent-based factors influence the effectiveness of incentive policies? A spatially explicit agent-based model to optimize woodland-for-water PES policy design at the local level. Ecology and Society 26(2):10. https://doi.org/10.5751/ES-12325-260210
Impacts of forest management and climate change on carbon emissions in Mediterranean forests
We assessed full carbon balance for alternative forest management strategies • Manufacturing is the main C emission source, far surpassing harvest and transport • Promotion of bioenergy turns low-yield pine forests into carbon sources • Producing long-lived wood products boosts the forest’s net carbon sink potential • Adaptive management helps forests stay carbon sinks under climate change stress Forest management is crucial for climate change mi…
Forest Management and Policy (3 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Ecology (2 works) · Forest management (2 works) · Land Use and Ecosystem Services (2 works) · Mediterranean climate (2 works) · Woodland (2 works) · Afforestation (1 work) · Agent-based model (1 work)