Yazidhi Bamutaze

Across Tropical Africa, climate change is intensifying hydrometeorological extremes, whose interaction with deeply rooted patterns of exposure and vulnerability has devastating consequences for com...

Nature-based solutions (NbSs) are increasingly recognized as sustainable and cost-effective strategies for mitigating drought impacts. However, robust quantitative evidence on the effectiveness of NbSs for drought mitigation, especially under future climate change scenarios, remains limited. In particular, the extent to which grazing management can reduce agricultural and hydrological droughts over long time horizons is still poorly understood. This study examines the long-term effectiveness of grazing management as a NbS for mitigating drought under historical and future climate conditions in the Ganale Dawa River Basin, Ethiopia. We combined remote sensing, machine learning, and climate projections to simulate soil moisture and runoff using a long short-term memory (LSTM) model. Protected areas were used as proxies for light grazing, while adjacent non-protected areas represented heavy grazing. Agricultural and hydrological droughts were quantified using the standardized soil moisture index (SSMI) and standardized runoff index (SRI), respectively. The results show that light grazing consistently reduced drought severity compared to heavy grazing across all periods. Agricultural drought severity was reduced by up to ~15% under SSP2-4.5 and SSP5-8.5, while hydrological drought severity showed substantially larger reductions, exceeding ~40% in mid- and late-future periods. Differences between grazing regimes widened under stronger climate forcing, indicating that grazing management benefits become more pronounced under future climate stress. These findings demonstrate that grazing management is an effective NbS for enhancing long-term drought resilience. Scaling up sustainable grazing practices could, therefore, serve as a practical climate adaptation strategy for drought-prone basins in Ethiopia and similar regions.

Understanding how climate change will reshape drought dynamics is essential for planning sustainable water and agricultural systems in tropical regions. However, large uncertainties in existing projections limit effective adaptation. To address this, we applied machine learning-enhanced climate projections and satellite-based drought indices to assess drought dynamics in Ethiopia’s Ganale Dawa Basin as a case study. Agricultural and hydrological droughts were analyzed for a historical baseline (1982–2014) and three future periods (2015–2040, 2041–2070, 2071–2100) under SSP2-4.5 (a moderate-emission pathway) and SSP5-8.5 (a high-emission pathway) scenarios. Results show that agricultural droughts occurred 34 times during the historical baseline. Under SSP2-4.5, their frequency declined to 10 in the mid-future, before rising to 16 events in the far future. In contrast, SSP5-8.5 projected increased variability with 33 events in the near future, dropping to 2 in the mid-future, and increasing again to 19 in the far future. Hydrological droughts were more persistent, with a baseline frequency of 31 events, and 26–36 events over future periods under both scenarios. These findings reveal increasing variability in agricultural drought and continued recurrence of hydrological drought. The findings emphasize a dual adaptation approach combining immediate agricultural responses with sustained water management and climate mitigation.

Wind and humidity are two very vital climate variables that have received little attention by researchers regarding Uganda. This study sought to close this knowledge gap by exposing the dynamics and relationship of windspeed and humidity in Uganda from 1980 to 2023 as well as predicting the future trends from 2025 to 2040. Using high-resolution gridded windspeed and relative humidity (RH) data for the past and seven downscaled and bias-adjusted global climate models within the coupled model intercomparison project phase 6 framework under two shared socioeconomic pathways (SSPs), SPP245 and SSP585, we employed variability, trend, and correlational analyses to expose the wind–humidity nexus at a monthly scale. The results showed a domination of winds of the calm to gentle breeze category across the country, with a maximum magnitude of 6 knots centered over eastern Lake Victoria and eastern Uganda over the historical period. RH was characterized by high to very high magnitudes, except the northern tips of the country, where RH was low for the historical period. Seasonally, both windspeed and RH demonstrated modest variations, with June–July–August (JJA) and September–October–November (SON) having the highest magnitudes, respectively. Similarly, both variables are forecasted to have significant distribution and magnitude changes. For example, windspeeds will be dominated by decreasing trends, while RH will be dominated by increasing trends. Finally, the correlation analysis revealed a strong negative correlation between windspeeds and RH for both the past and future periods, except for the March–April–May (MAM) and September–October–November (SON) seasons, where positive correlations were observed. These findings have practical applications in agriculture, hydrology, thermal comfort, disaster management, and forecasting, especially in the northern, eastern, and Lake Victoria basin regions. The study recommends further finer-scale research at various atmospheric levels and for prolonged future periods and scenarios.

The scavenging chicken production system is vital to rural households in Uganda for food security and poverty alleviation. However, rising temperatures due to climate change threaten the productivity of indigenous chickens. This study assessed the perceived impacts of high temperatures on chicken productivity, identified coping strategies used by farmers, and examined factors influencing the adoption of these strategies in Soroti district. Data were collected through a cross-sectional survey, focus group discussions, and key informant interviews, and analyzed using descriptive, thematic, and Probit regression methods. The average flock size was 42 chickens, with 79% of households providing minimal shelter mostly at night. Chickens foraged for approximately 13 h daily, supplemented by kitchen waste and cereals. However, rising temperatures (average 24.7 °C, peaking at 30.3 °C) have led to a 46% reduction in scavenging time, reduced egg production (8.7%) and hatchability (5.2%), and increased disease incidence and mortality. Coping strategies included providing drinking water (96.3%), shade (62.5%), feed supplementation (37.5%), and vaccination. However, water access is becoming increasingly seasonal. Probit regression showed that gender, age, flock size, and resource access significantly influenced strategy adoption. Female farmers were 18.7% more likely to provide shade, while older farmers were less likely to adopt such measures. Training in poultry production positively influenced feed supplementation. The study highlights the need for targeted interventions to support farmers’ adaptation to climate variability, focusing on resource access like water, high quality feed supplements, training, and enhancing adaptive strategies for scavenging chicken systems. The findings contribute to a better understanding of how climate variability affects scavenging chicken production in Sub-Saharan Africa, offering insights for future climate-resilient agricultural policies.

The landscape ecology community witnessed a landmark event in July 2023 as the 11th International Association for Landscape Ecology (IALE) World Congress unfolded on the African continent for the first time. This editorial commemorates this historic occasion, tracing the journey from the inception of Africa-IALE initiatives in 2002 to the culmination of the World Congress held in Nairobi, Kenya, almost two decades later. Having previously graced Europe, Northern America, Australia, and Asia, the IALE World Congress embraced Africa, showcasing the global reach and inclusive spirit of landscape ecology. This editorial explores the evolution of Africa-IALE, highlighting the initiatives and the persistent efforts that led to the World Congress in Africa. We firstly delve into the socio-cultural and international significance of this shift, emphasising the unique perspectives and challenges faced by the African landscape ecology community. Secondly, we assess the participants involved in the 11th World IALE Congress, the topics discussed, current trends, and priorities within the global landscape ecology research community. To do so, we conducted a bibliometric analysis of the conference proceedings. Lastly, we reflect on the impacts of this Congress. Our retrospective perspective offers a comprehensive view of the symbiotic relationships among the international landscape ecology community and how landscape ecology has evolved in parallel with emerging challenges and emerging centres of knowledge and leadership.

It has become increasingly common to include participatory processes, several academic disciplines, and additional wide‐ranging ways of knowing, in using research to tackle the escalating environmental problems of the 21st Century. There are barriers to the success of these efforts. In this paper we present the Adaptive Systemic Approach (ASA). The ASA is designed to provide a clear pathway for research related to sustainability issues, river basin problems and natural resource development, and to deliver change towards improved ecological health and social justice outcomes. The design of the ASA rests on three key concepts: complex social‐ecological systems, transdisciplinarity, and transformative social learning, together with Strategic Adaptive Management as the theoretically consistent operational process. We identify logical connections between the concepts and Strategic Adaptive Management so that the ASA emerges as a coherent and practical research and praxis pathway. The ASA process is then outlined to support uptake and wider application. We present findings from ASA praxis in a collaborative African research program considering river basin problems in seven countries, where key contextual learnings led to the recognition of five barriers to effective research impact outcomes: (1) Lack of an integrative conceptual grounding. (2) Participatory stakeholder engagement flawed by epistemic injustice. (3) Inadequate transdisciplinary team building. (4) Insufficient inclusion of learning, reflection, and systemic adaptation. (5) Inflated claims of probable impact in terms of creating change towards improved ecological health and social justice. We reflect on the ways the ASA contributes to breaching these barriers. Early key learnings from ASA praxis leads us to suggest that the ASA has practical value for policy makers, practitioners and researchers seeking pathways for fair and sustainable river management, and more broadly in natural resource development.