Stochastic simulation of restoration outcomes for a dry afromontane forest landscape in northern Ethiopia

Stochastic simulation of restoration outcomes for a dry afromontane forest landscape in northern Ethiopia

Forest and Landscape Restoration (FLR) is carried out with the objective of regaining ecological functions and enhancing human well-being through intervention in degrading ecosystems. However, uncertainties and risks related to FLR make it difficult to predict long-term outcomes and inform investmen...

Full description

Bibliographic Details
Main Authors: Aynekulu, E. (Author), Gebru, Y. (Author), Luedeling, E. (Author), Muchiri, C. (Author), Negussie, A. (Author), Shepherd, K. (Author), Tamba, Y. (Author), Wafula, J. (Author), Whitney, C. (Author), Yigzaw, N. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
Biomass accumulation
Decision analysis
Decision making
Decision Making
Dry afromontane forests
Ecological functions
Ecology
Forest and landscape restoration
Investments
Land reclamation
Land Reclamation
Landscape restoration
Monte Carlo methods
Monte Carlo risk analysis
Natural regeneration
Reforestation
Restoration
Returns on investment
Sensitivity analysis
Soil conservation
Soil moisture
Soil-water conservation
Stochastic models
Stochastic simulations
Stochastic systems
Uncertainty
Uncertainty analysis
Value of information
Water conservation
Water Management
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items