Tadesse Woldemariam Gole
Biographic Data
| ID | 6546801 |
|---|---|
| NAME | Tadesse Woldemariam Gole |
| GIVEN NAMES | Tadesse Woldemariam |
| FAMILY NAME | Gole |
| SIGNATURE | GOLE T W |
| AFFILIATIONS | Ethiopian Environment and Forest Research Institute |
| ORCID | 0000-0002-7621-2873 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 10 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Selective Ensemble Machine Learning for Mapping Potential Invasion of Vachellia drepanolobium in Ethiopian Savanna Ecosystem Using Sentinel-2 and Environmental Variables
Invasive plant species, particularly Vachellia drepanolobium , pose serious threats to biodiversity and ecosystem services in arid and semi-arid rangelands. Borana National Park (BNP) and surrounding districts are increasingly affected by V. drepanolobium ; however, spatial modeling of this invasion remains limited. In this study, we evaluated the performance of six models: Random Forest (RF), Support Vector Machine (SVM), Gradient Boosted Machin…
The structures underpinning vulnerability
Smallholder farmers dependent on rain-fed agriculture are particularly vulnerable to extreme climate events and, therefore, it is necessary to identify adaptive measures that would increase farmer resilience to these shocks. The management options in a low-input system, like forest coffee ( Coffea arabica ), are limited and there are several factors out of farmers’ control driving their vulnerability to changing climatic conditions. These can rel…
Pursuing climate resilient coffee in Ethiopia – A critical review
Understanding Poverty in Cash-crop Agro-forestry Systems
Pursuing climate resilient coffee in Ethiopia – A critical review
Understanding Poverty in Cash-crop Agro-forestry Systems
The structures underpinning vulnerability
Smallholder farmers dependent on rain-fed agriculture are particularly vulnerable to extreme climate events and, therefore, it is necessary to identify adaptive measures that would increase farmer resilience to these shocks. The management options in a low-input system, like forest coffee ( Coffea arabica ), are limited and there are several factors out of farmers’ control driving their vulnerability to changing climatic conditions. These can rel…
Selective Ensemble Machine Learning for Mapping Potential Invasion of Vachellia drepanolobium in Ethiopian Savanna Ecosystem Using Sentinel-2 and Environmental Variables
Invasive plant species, particularly Vachellia drepanolobium , pose serious threats to biodiversity and ecosystem services in arid and semi-arid rangelands. Borana National Park (BNP) and surrounding districts are increasingly affected by V. drepanolobium ; however, spatial modeling of this invasion remains limited. In this study, we evaluated the performance of six models: Random Forest (RF), Support Vector Machine (SVM), Gradient Boosted Machin…
Agriculture (3 works) · Agriculture, Land Use, Rural Development (3 works) · Geography (3 works) · Adaptive capacity (2 works) · Climate change (2 works) · Development economics (2 works) · Ecology (2 works) · Economics (2 works) · Energy and Environment Impacts (2 works) · Food security (2 works)