Enhancing Climate Resilience in Dryland Mixed Crop–Livestock Systems Through Integrated Water Monitoring and Early Warning: A Perception-Based Exploratory Impact Assessment
Abstract
1. Introduction
2. Methods
2.1. Description of Study Area
2.2. Technical Architecture of Livestock Water Monitoring and Early Warning System
2.3. Sample, Data Collection and Analysis
2.4. Water Monitoring and Early Warning Systems’ Impact Assessment Indicators
2.5. Perception-Based Exploratory Impact Assessment Strategy
3. Results and Discussion
3.1. Results
3.1.1. Respondent Characteristics and Water Monitoring and Early Warning System Awareness
3.1.2. Perceived Preparedness and Resource-Management Dimensions
3.1.3. Perceived Livelihood and Socio-Economic Dimensions
3.1.4. Social and Institutional Dimensions of WM-EWS Use
3.2. Discussion
3.2.1. Perceived Usefulness and Operational Relevance of WM-EWS
3.2.2. Interpreting Variation and Uncertainty in Stakeholder Perceptions
3.2.3. Socio-Institutional Dimensions of WM-EWS Use
3.2.4. Implications for Future WM-EWS Research and Evaluation
3.3. Limitations and Future Research Directions
4. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| No. | Waterpoint Condition | Description |
|---|---|---|
| 1 | Good | The current water depth is more than 80% of the waterpoint water holding capacity |
| 2 | Watch | The current water depth is between 50% and 80% of the waterpoint water holding capacity |
| 3 | Alert | The current water depth is between 30% and 50% of the waterpoint water holding capacity |
| 4 | Near Dry | The current water depth is less than 30% of the waterpoint water holding capacity |
| 5 | Seasonally Dry | The current water depth is zero. |
| Respondent Category | Description | Selection Rationale | Role in Study |
|---|---|---|---|
| Technical experts | Individuals with technical knowledge of water management, drought response, or climate information systems | Purposively selected for technical and operational experience | Provide expert perceptions and system-level insights |
| Extension and field personnel | Agricultural, livestock, or development extension actors familiar with pastoral systems | Selected for practical engagement with pastoral communities | Provide implementation and operational perspectives |
| Local institutional stakeholders | Local government and institutionally engaged actors involved in drought management and planning | Selected based on involvement in resource governance | Provide institutional and policy-related perspectives |
| Mixed stakeholder respondents (overall sample) | Combined purposively selected participant group (71) | Expert-oriented exploratory sampling | Provide stakeholder perceptions regarding WM-EWS utilization and operational relevance |
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Alemayehu, S.; Tegegne, G.; Dejene, S.W.; Ayalew, L.T.; Gebre, L.; Ketema, D.M. Enhancing Climate Resilience in Dryland Mixed Crop–Livestock Systems Through Integrated Water Monitoring and Early Warning: A Perception-Based Exploratory Impact Assessment. Sustainability 2026, 18, 6083. https://doi.org/10.3390/su18126083
Alemayehu S, Tegegne G, Dejene SW, Ayalew LT, Gebre L, Ketema DM. Enhancing Climate Resilience in Dryland Mixed Crop–Livestock Systems Through Integrated Water Monitoring and Early Warning: A Perception-Based Exploratory Impact Assessment. Sustainability. 2026; 18(12):6083. https://doi.org/10.3390/su18126083
Chicago/Turabian StyleAlemayehu, Sintayehu, Getachew Tegegne, Sintayehu W. Dejene, Lidya Tesfaye Ayalew, Liyuneh Gebre, and Dessalegn Molla Ketema. 2026. "Enhancing Climate Resilience in Dryland Mixed Crop–Livestock Systems Through Integrated Water Monitoring and Early Warning: A Perception-Based Exploratory Impact Assessment" Sustainability 18, no. 12: 6083. https://doi.org/10.3390/su18126083
APA StyleAlemayehu, S., Tegegne, G., Dejene, S. W., Ayalew, L. T., Gebre, L., & Ketema, D. M. (2026). Enhancing Climate Resilience in Dryland Mixed Crop–Livestock Systems Through Integrated Water Monitoring and Early Warning: A Perception-Based Exploratory Impact Assessment. Sustainability, 18(12), 6083. https://doi.org/10.3390/su18126083

