Resource-based conflicts in drought-prone Northwestern Kenya : the drivers and mitigation mechanisms

The theory of “resource scarcity” dominates the debate on “ecoviolence” in pastoral areas, where conflicts among communities have traditionally been linked to competition over scarce resources and invariably drought because of its role in resource depletion. However, the notion that climate change and resultant resource scarcity directly prompt violent conflict has been challenged by the notion that conflict actually coincide with periods of resource abundance. These contesting views point to nondeterministic linkage between resource availability and conflicts and, therefore, the complexity of pastoral conflicts. This is the scenario hypothesized for the vast pastoral areas of Kenya where violent conflict has become a chronic characteristic. While focusing on drought-induced conflicts over grazing resources, this paper takes cognizance of other factors that trigger and perpetuate violent conflicts in arid north-western Kenya. We present an insight on the nature, causes, dynamics and mitigation strategies of conflicts between the Turkana and Pokot pastoralists based on research study focusing on the linkages between resource availability and conflict. The findings suggest that violent conflicts in pastoral areas result from a myriad of socio-cultural, economic and political factors that reinforce one another by limiting availability of, depleting and reducing access to natural resource base. Competition for scarce natural resources triggered by frequent droughts and exacerbated by weak local institutions, proliferation of small firearms, political incitements, unclear property right regimes and cattle-raiding, was considered central to the violent conflicts observed in the area. The authors conclude that developing integrated policies and strengthening local governance institutions that are rooted in traditional practices for managing resources and inter-community conflicts is integral to the solution

Temporal relationship between climate variability, Prosopis juliflora invasion and livestock numbers in the drylands of Magadi, Kenya

A study was conducted to determine the association of climate variability, Prosopis juliflora spread, and other vegetation trends with livestock population dynamics in Kajiado County, Kenya. Monthly rainfall, mean monthly temperatures, cattle, sheep and goats populations from January 2000 to December 2014, were analyzed to determine time series trends. Normalized Difference Vegetation Index (NDVI) data derived from moderate resolution imaging spectroradiometer (MODIS) 250 m satellite imageries for 2000 to 2014 were used to determine the temporal dynamics of P. juliflora invasion in the study area. Both temperature and rainfall trends showed marked variability over the period under study. The mean monthly temperatures during the long dry season increased erratically from 33°C in 2000 to 37°C in 2014. Moreover, the rainfall during the wettest season was 600 mm in 2000 and 250 mm in 2014. During the study period, divergence from the long term mean rainfall (450 mm) decreased from 585 to 403 mm. At the same time cattle population decreased, sheep and goats populations remained static. P. juliflora invasion correlated positively (r=0.2; P<0.05) with mean monthly temperature and negatively (r=-0.4; P<0.05) with rainfall and other vegetation cover in drier parts, but not in the higher altitude and wetter parts of the study area. It also correlated negatively with cattle populations (r=-0.4; P<0.05). In the 1980’s, bushlands and woodlands constituted 95 and 5% of the land cover, while in 2008, herbaceous vegetation, shrublands, and open trees together with bare areas constituted 50, 30, and 22%, respectively; out of which 70% had been taken over by Prosopis in 2014. This study demonstrated that even though the trends showed that cattle population decreased as climate variability and Prosopis invasion increased, there was no significant correlation among the attributes, over the period under study.Key words: Climate, drylands, livestock, Prosopis juliflora, variability vegetation, trends, mesquite

Local Knowledge on the Changes in Vegetation Composition and Abundance in Rusinga Island, Homa Bay County, Kenya

Local communities have been coping with environmental dynamics since time immemorial, and they often possess considerable knowledge about environmental change, as well as mechanisms of coping with the consequences of such changes. Local knowledge on the changes in vegetation composition and abundance is therefore fundamental for the development of management strategies aimed at sustainable use and conservation of natural vegetation resources. Household interviews (n=150), Key informant interviews (n=30) and Focus group discussions (n=4) were used in this study to extract information on the communities’ perceptions on the status of vegetation in Rusinga Island of Homa Bay County of Kenya, and the suggested management strategies for the environment, particularly the vegetation resources for posterity. Rusinga Island is a biodiversity hotspot and an ancient historic area with numerous archeological sites that have given the World fossils dating back millions of years but the area has been experiencing downward trend in its ecosystems. Majority (86%) of the respondents reported having observed changes in vegetation composition and abundance in the study area. The changes were attributed to deforestation, high human population, overgrazing, inadequate rainfall, and soil erosion. Most (68%) of the respondents perceived the changes had occurred mainly in the forests/hills, in the entire Island (15.3%) and in the homesteads (2.7 %). To reverse the changes, the local community proposed tree planting, protection of existing trees, use of alternative sources of fuel, increased awareness creation on environmental conservation and controlled livestock grazing as the best strategies to reduce vegetation degradation. Besides sensitization and building capacity of the communities to engage in sustainable management of vegetation resources, land restoration interventions in the study area should target the plants species at risk through re-introduction and re-afforestation practices

Woody Plant Species Composition and Diversity in Rusinga Island, Homa Bay County, Kenya

Information on the state of woody vegetation of Rusinga Island is urgently needed in order to develop appropriate and effective conservation guidelines. Rusinga Island is an ancient historic area with numerous archeological sites and a bountiful of birdlife. However, the Island is characterized by highly degraded ecosystems from human disturbances such as cutting down of trees for fuel, construction poles, and overgrazing resulting in a remarkable degradation of flora, alteration of the ecosystems and loss of biodiversity. This study sought to determine the composition and diversity of woody plant species in Rusinga Island to understand the current status in order to develop appropriate and effective conservation measures since no such study has been conducted in the area before. Three hills (Ligongo, Agiro and Wanyama) were selected for sampling and demarcated into three study zones differentiated by the slope gradient and land use. A systematic random sampling approach was adopted to establish 98 sampling plots measuring 20 m x20 m (400m2) for recording tree species and subplots of 10 m by 10 m within the main plots for recording shrubs and lianas across the three study zones at an interval of 200m. A total of 63 woody plant species belonging to 32 families and 51 genera were recorded, out of which 66.7% were trees, 31.7% shrubs and 1.6% lianas. The upper zones had significantly higher species diversity, species richness, evenness and abundance compared to the middle and lower zones. The lower zones depicted a lower abundance of plants and least similarities of species compared to the middle and upper zones. Development of appropriate conservation and management strategies is required in order to protect the woody plant resources from unsustainable human activities and to improve the natural diversity of the Island

Species-specific or assemblage-wide decline? The case of Arthroleptides dutoiti Loveridge, 1935 and the amphibian assemblage of Mount Elgon, Kenya

The frog Arthroleptides dutoiti Loveridge, 1935, endemic to Mount Elgon, East Africa was last collected in 1962 and has not been observed since. The species is regarded as Critically Endangered by the IUCN Red List and is a priority species on the Zoological Society of London’s EDGE (Evolutionarily Distinct, Globally Endangered) project, given its Red List status and phylogenetic distinctiveness. We analyse temporal patterns of abundance (1934–2014) of A. dutoiti and the remainder of the Mount Elgon amphibian assemblage to infer the probability of re-encountering A. dutoiti and assess whether declines are species specific to A. dutoiti, or whether they are assemblage-wide phenomena. Our results show that for localities where surveys have been repeatedly conducted, A. dutoiti is likely to be locally extinct. Declines are observed in other Mount Elgon amphibians, encompassing both specialists and generalists. Causal factors for declines are unknown, but habitat change might be important, given the high degree of forest loss in the area, especially since the turn of the 20th century. Urgent sampling of preferred microhabitats of A. dutoiti at the type locality and surrounding areas beyond those included in our study are required to determine whether or not the species is extinct. Impacts on other taxonomic groups would also be useful to understand so that it can be determined how broad the changes are for the Mount Elgon biota

Climate Smart Agriculture and Climate Information Services Training Needs for Kenya

The era of climate change, associated with changes in seasons and rising temperatures, has contributed to the worldwide decline in agricultural productivity despite the increasing global food demand. Addressing food insecurity challenges will require that Africans embrace innovative technologies in agricultural sector. Therefore, the concept of climate-smart agriculture (CSA) is timely and slowly gaining considerable traction in Africa. Indeed, the concept of CSA is intended to build resilience in agricultural systems as the local farmers express their needs for adaptation and the possibility of mitigation in agricultural growth strategies to support food security. As indicated by Waaswa et al. (2021) CSA presents the opportunity to meet the world increasing food demands in the face of climate variability, and is responsive to the achievement of Sustainable Development Goals 2 and 13 towards achieving food security and combating climate change. During the meeting involving 21 representatives from nine (9) African countries held in Cotonou, Benin at RUFORUM’s Triennial conference on 12-13th Dec 2021, a review was initiated to provide a baseline information on preferred climate-smart agriculture (CSA) practices and existing programmes in institutions of higher learning in the represented countries that included Kenya, Zambia, Ethiopia, Democratic republic of Congo, Benin, Burundi, Uganda, Ghana and Zimbabwe

Economic Valuation of Grazing Management Practices: Discrete Choice Modeling in Pastoral Systems of Kenya

This study estimates the economic contribution of grazing management practices in pastoral systems by specifically undertaking an economic analysis of pastoralists’ preferences for grazing management practices and the economic value pastoralists place on them. The study applied the discrete choice experiment technique using a D-optimal design, a multi-attribute preference elicitation method to evaluate the economic value of grazing management options practiced in pastoral areas of Kenya. The results show that pastoral communities derive positive utility in connected systems that enable reciprocal access to resources in both wet and dry seasons. Pastoralism adapts to spatial–temporal variability of pasture and water through herd mobility; hence the positive utility derived from practices that contribute to the availability of adequate water and pasture across the seasons. These findings provide empirical evidence on the social and economic net benefits of rangeland management practices that should be enhanced to promote sustainable management of rangeland resources

Family Composition and Stability for Orphans: A Longitudinal Study of Well-Being in 5 Low- and Middle-Income Countries

Objectives: Many orphaned children in low- and middle-income countries live with family. Yet, their household composition and its stability are not well-characterized, nor is impact of stability on longer-term outcomes. Methods: We used the longitudinal, multi-country Positive Outcomes for Orphans cohort to describe adult family living with orphans. Stability was measured by changes in presence of six familial relations over time, and related to three outcomes: 1) incident abuse, 2) cognitive functioning, 3) emotional difficulties. Associations were estimated using generalized linear models fit with generalized estimating equations. For abuse, Poisson regression estimated risk ratios. For continuous scores of cognitive functioning and emotional difficulties, linear models estimated mean differences (MDs) with 95% confidence intervals. Results: Among 1,359 orphans, 53–61% reported living with their mother each year; 7–13% with father; nearly 60% reported ≥1 change in composition over follow-up. Compared to 0 changes, difficulties increased with 1 change [MD: 0.23 (−0.33, 0.79)], 2 changes [MD: 0.57 (0.00, 1.16)] and ≥3 changes [MD: 0.73 (0.18, 1.29)]. No associations were found with abuse or cognitive functioning. Conclusion: Orphan well-being may be improved through supports stabilizing household composition or targeting emotional resilience

Identification of sand frogs (Anura: Pyxicephalidae: Tomopterna) from Kenya with the description of two new species

African sand frogs in the genus Tomopterna presently include 13 species. These are known to be highly cryptic and morphologically similar. Despite increased effort in the recent past, the taxonomy of the group is still unresolved and some populations e.g. in Kenya have remained largely unstudied. This paper starts to address this gap using molecular, advertisement call and morphological comparisons. We test the boundaries of the Kenyan species based on mitochondrial 16S rRNA sequence data. Two new species are recognised and described: Tomopterna wambensis sp. nov. and Tomopterna gallmanni sp. nov. Further molecular and advertisement call studies of Tomopterna populations in Kenya are recommended, especially for those populations previously identified as T. cryptotis and T. tandyihttp://www.mapress.com/zootaxa/index.htmlhttp://mapress.com/zootaxa/2013/f/z03734p240f.pdfhttp://dx.doi.org/10.11646/zootaxa.3734.2.

Time Series Analysis and Forecasting of Carbon Dioxide Emissions: A Case of Kenya’s Savanna Grasslands

Climate change and climate variability is perhaps one of the major challenges facing the world today. There is an equivocal agreement that climate change is not only a threat to the economies of developing world, but also to those of the developed economies. One of the key drivers of global warming is the greenhouse gas (GHG) emissions. Even though several studies have in the recent past evaluated various sources of GHG emissions and their associated impacts, little empirical information exists on the role played by burning savanna grasslands as far as global warming is concerned. This study is an attempt to determine the emission pattern over time and consequently forecast the linear trend in GHG emissions from the Kenya’ Savanna. Using Autoregressive (AR) modelling, the study analyzes and forecasts time series data ranging from the year 1993 to 2012. The key finding of the study indicate that emissions resulting from continual burning of Savanna grasslands will continue in an upward trend if no serious mitigation measure is put in place to revert the statusquo. Averting the current state of affairs requires policies aimed at reducing the levels of GHGs in the atmosphere for instance promotion of Climate Smart Agricultural (CSA) Practices