Semi-arid Lands Research Articles

Sensitivity Assessment of Land Desertification in China Based on Multi-Source Remote Sensing

Desertification, a current serious global environmental problem, has caused ecosystems and the environment to degrade. The total area of desertified land is about 1.72 million km2 in China, which is extensively affected by desertification. Estimating land desertification risks is the top priority for the sustainable development of arid and semi-arid lands in China. In this study, the Mediterranean Desertification and Land Use (MEDALUS) model was used to assess the sensitivity of land desertification in China. Based on multi-source remote sensing data, this study integrated natural and human factors, calculated the land desertification sensitivity index by overlaying four indicators (soil quality, vegetation quality, climate quality, and management quality), and explored the driving forces of desertification using a principal component and correlation analysis. It was found that the spatial distribution of desertification sensitivity areas in China shows a distribution pattern of gradually decreasing from northwest to southeast, and the areas with very high and high desertification sensitivities were about 620,629 km2 and 2,384,410 km2, respectively, which accounts for about 31.84% of the total area of the country. The very high and high desertification sensitivity areas were mainly concentrated in the desert region of northwest China. The principal component and correlation analysis of the sub-indicators in the MEDALUS model indicated that erosion protection, drought resistance, and land use were the main drivers of desertification in China. Furthermore, the aridity index, soil pH, plant coverage, soil texture, precipitation, soil depth, and evapotranspiration were the secondary drivers of desertification in China. Moreover, the desertification sensitivity caused by drought resistance, erosion protection, and land use was higher in the North China Plain region and Guanzhong Basin. The results of the quantitative analysis of the driving forces of desertification based on mathematical statistical methods in this study provide a reference for a comprehensive strategy to combat desertification in China and offer new ideas for the assessment of desertification sensitivity at macroscopic scales.

Effects of environment factors on the carbon fluxes of semi-fixed sandy land recovering from degradation

Shrub-dominated ecosystems in the semiarid Horqin Sandy Land are important terrestrial ecosystems, and substantially affect global ecological health and security. However, there have been few studies of climate change’s effects on the carbon fluxes (NEE, net ecosystem exchange; Reco, ecosystem respiration; GPP, gross primary productivity) when these ecosystems are recovering from degradation. We used the eddy covariance technique to determine carbon fluxes and climatic conditions in this ecosystem from 2017 to 2021. The semi-fixed sandy land functioned as a carbon sink in wet years (NEE equaled −14.14 and −126.14 g C m–2 yr–1 in 2019 and 2021, respectively), but was a carbon source in dry years (NEE equaled 48.50 and 51.17 g C m–2 yr–1 in 2017 and 2020, respectively) and a normal year (NEE equaled 74.66 g C m–2 yr–1 in 2018). As expected in these usually water-limited ecosystems, water availability (precipitation and soil water content) were the dominant drivers of NEE, Reco, and GPP, but temperature and photosynthetic photon flux density (PPFD) also played important roles in regulating NEE, Reco and GPP in this recovering semi-fixed sandy ecosystem. With future precipitation and temperature increases, and continuing vegetation restoration, carbon sequestration by this ecosystem is expected to increase. Long-term observations will be necessary to reveal the true source and sink intensities and their response to environmental factors.

Indigenous communities’ perceptions reveal threats and management options of wild edible plants in semiarid lands of northwestern Kenya

BackgroundUnderstanding how local communities perceive threats and management options of wild edible plants (WEPs) is essential in developing their conservation strategies and action plans. Due to their multiple use values, including nutrition, medicinal, construction, and cultural as well as biotic and abiotic pressures, WEPs are exposed to overexploitation, especially within arid and semiarid lands, and hence the need to manage and conserve them. We demonstrate how an understanding of indigenous communities’ perceptions could be achieved through an integrated participatory approach involving focus group discussions (FGDs) and field plot surveys.MethodsWe conducted three FGDs between October 2020 and April 2021 within three community units in northwestern Kenya with different socioeconomic and environmental characteristics. We subsequently surveyed 240 field plots of size 1 ha each to assess threats facing WEPs within a 5 km buffer radius in every study community. We compared ranks of threats and management options across community units.ResultsRankings of threats and management options differed across the three study communities. We obtained strong positive linear relationships between field and FGD rankings of threats facing WEPs. Climate change, overstocking, overharvesting, and invasive species were the highest-ranked threats. Mitigation of climate change, local knowledge preservation, selection, propagation, processing, and marketing of WEPs ranked high among possible management options irrespective of the socioeconomic and environmental characteristics of the community unit.ConclusionsOur approach emphasizes the relevance of leveraging indigenous communities’ perceptions and conducting field plot surveys to assess threats and management options for WEPs. Evaluating the effectiveness and cost–benefit implications of implementing the highly ranked management options could help determine potentially suitable habitats of the WEPs for conservation and management purposes, especially for priority WEPs.

Performance analyses of effective rainfall estimation methods for accurate quantification of agricultural water footprint

Water footprint (WF) assessments have become a significant tool for the sustainable management in recent years. Effective rainfall (Peff) is a critical indicator for characterizing soil moisture (green water, WFgreen) and calculating irrigation requirements (blue water, WFblue). However, majority of the water footprint analyses employ empirical or numerical models to predict Peff, and the number of studies for experimental validation of these models are quite insufficient. The main scope of this study is to test the performance of commonly used Peff estimation models in relation to the soil water balance (SWB) of an experimental site. Accordingly, the daily and monthly soil water budget is estimated from a maize field which is characterized as semi-arid land with continental climate (Ankara, Turkey), equipped with moisture sensors. Then, Peff, WFgreen, and WFblue parameters are calculated using FP, US-BR, USDA-SCS, FAO/AGLW, CROPWAT, and SuET methods and compared with SWB method. Employed models were highly variable. CROPWAT and US-BR predictions were the most accurate. In majority of months, the CROPWAT method estimated the Peff with a maximum deviation of 5% from the SWB method. In addition, the CROPWAT method predicted blue WF with an error less than 1%. The widely utilized USDA-SCS approach did not produce expected results. The FAO-AGLW method provided the lowest performance for each parameter. We also find that the errors in estimating Peff in semi-arid conditions cause green and blue WF outputs to be quite less accurate than the dry and humid cases. This study provides one of the most detailed assessments about the impact of effective rainfall on the blue and green WF results with high temporal resolution. The findings of this study are important for the accuracy and performance of the formulae used in Peff estimations and to develop more precise blue and green WF analyses in the future.

Co-designed Practical Use of Probabilistic Climate Advisories among Smallholder Farmers: A Balance between Confidence and Caution

Especially for smallholder farmers with limited land and financial resources, farming in arid and semi-arid lands (ASALs), where season-to-season rainfall fluctuation dictates production, is a risky business. Through participatory approaches, this study compares deterministic and probabilistic interpretations of climate forecasts and their use by smallholder farmers through a crop-growing season. The study revealed that deterministic advisories are good for smallholder farmers only when formulated from forecasts with higher accuracy than the historical climatological distribution. Otherwise, they cause farm loss in terms of labor and inputs. On the other hand, probabilistic advisories help farmers spread the risk to cater to all the uncertainty and in so doing bring out a balance between confidence and caution. However, farmers must be supported with enough sensitization to comprehend forecast probability, translate it into probabilistic advisories and use that to plan and manage farm activities. The findings support the hypothesis providing packaged climate products in transparent probabilistic terms in place of deterministic form can overcome inherent credibility challenges. The study’s conclusion highlights important takeaways and new understandings of the advantage of using probabilistic advisories among resource-poor smallholder farmers.

The Influence of Communication Messages on Adoption of Contagious Bovine Pleuropneumonia (CBPP) Vaccine among Arid and Semi-Arid Lands (ASAL) Pastoralists in Kenya

Purpose: The purpose was to establish influence of communication messages on adoption of Contagious Bovine Pleuropneumonia (CBPP) Vaccine among Arid and Semi-Arid Lands (ASAL) pastoralists in Kenya. Messages were studied under parameters of inoculation site, benefits, required frequency of vaccination and side effects. The focus on the vaccine messaging was informed by the slow pace of adoption of live T1 vaccines currently being used to eradicate CBPP in Kenya. Diffusion of innovation and social learning theories were used to support the study.
 Methodology: Study population were pastoralists in Narok South Sub County. 468 respondents inclusive of qualitative and quantitative samples where 440 responded to questionnaire, 24 in focus group discussions, and 4 in key informant interviews participated. Multi stage, purposive, simple random, systematic and stratified sampling techniques were then employed to come up with respondents. Statistical Package for Social Scientists (SPSS) version 20.0 was used to analyze data, which was presented using regression coefficients and ANOVA.
 Findings: CBPP messaging influenced respondents to vaccinate although some had more influence than others. Messages on inoculation site, benefits, required frequency of vaccination side effects and communal vaccinations were important for the survival of their cattle and significantly influenced the decisions of respondents to vaccinate against the disease. Moreover, messages helped them to know important information details such as vaccination venues, and costs of vaccination and availability of the veterinary officers. CBPP vaccine messages attributes were key in the success of influencing respondents. However, the messaging ran into already held misinformation by some pastoralists confirming earlier study that vaccination rate was at 20-60% because some skipped the exercise.
 Unique Contribution to Theory, Practice and Policy: CBPP vaccine messages and attributes significantly influenced CBPP vaccinations decisions among pastoralists. This study validated diffusion of innovation and social learning theories that innovation-decision process is essentially an information seeking and processing activity in which an individual is motivated to reduce uncertainty about the advantages and disadvantages of the innovation. For policy and practice, this study recommends development of communication plans, and packaging of CBPP vaccine messages for dissemination in the ASALs where disease is prevalent. Considering that CBPP is a trans-boundary disease, these plans and messages could be harmonized across ASAL counties to enable consistency and coherence.

Epidemiological Dynamics of Foot-and-Mouth Disease in the Horn of Africa: The Role of Virus Diversity and Animal Movement.

The Horn of Africa is a large area of arid and semi-arid land, holding about 10% of the global and 40% of the entire African livestock population. The region's livestock production system is mainly extensive and pastoralist. It faces countless problems, such as a shortage of pastures and watering points, poor access to veterinary services, and multiple endemic diseases like foot-and-mouth disease (FMD). Foot-and-mouth disease is one of the most economically important livestock diseases worldwide and is endemic in most developing countries. Within Africa, five of the seven serotypes of the FMD virus (FMDV) are described, but serotype C is not circulating anymore, a burden unseen anywhere in the world. The enormous genetic diversity of FMDV is favored by an error-prone RNA-dependent RNA polymerase, intra-typic and inter-typic recombination, as well as the quasi-species nature of the virus. This paper describes the epidemiological dynamics of foot-and-mouth disease in the Horn of Africa with regard to the serotypes and topotypes distribution of FMDV, the livestock production systems practiced, animal movement, the role of wildlife, and the epidemiological complexity of FMD. Within this review, outbreak investigation data and serological studies confirm the endemicity of the disease in the Horn of Africa. Multiple topotypes of FMDV are described in the literature as circulating in the region, with further evolution of virus diversity predicted. A large susceptible livestock population and the presence of wild ungulates are described as complicating the epidemiology of the disease. Further, the husbandry practices and legal and illegal trading of livestock and their products, coupled with poor biosecurity practices, are also reported to impact the spread of FMDV within and between countries in the region. The porosity of borders for pastoralist herders fuels the unregulated transboundary livestock trade. There are no systematic control strategies in the region except for sporadic vaccination with locally produced vaccines, while literature indicates that effective control measures should also consider virus diversity, livestock movements/biosecurity, transboundary trade, and the reduction of contact with wild, susceptible ungulates.

Afforestation of semi-arid regions of Mongolia: carbon sequestration in trees and increase of soil organic carbon

This work examines the variation of carbon sequestration (considered as the sum of above- and below-ground plant biomass production added to soil organic carbon) occurring in two sites (named respectively BN and ER) characterized by a semi-arid climate after planting three tree species (Populus sibirica, Ulmus pumila, and Hippophae rhamnoides). Soil organic carbon (SOC) was analyzed at four different depths (from 0–60 cm). In these two sites, the three tree species contributed differently to carbon sequestration. We found that above-ground plant biomass (leaf, branch, stem) was higher at the BN site whereas at the ER site prevailed below-ground biomass. That is probably due to the low tree density in BN site and the higher soil moisture content present in ER site. Among the three tree species considered, P. sibirica showed the highest biomass value. The SOC values were highest in the topsoil layer (0-40 cm) and decreased with depth. This works clearly shows that in semi-arid lands carbon sequestration depends on the environmental factors that characterize the site, the tree density, and the tree species selected.

Long-term mowing and burning have more of an effect on soil fungal communities than on bacteria in a semiarid sandy land

Mowing and burning, two common human disturbance methods, have different impacts on the soil fungal and bacterial communities of sandy land ecosystems in semiarid areas. Thus, the effects of long-term mowing and burning on plant and soil microbial communities in the semiarid Horqin Sandy Land are unclear. In this study, the effects of soil microbial community structure from mowing and burning on plant and soil microbial communities over six years were assessed by high-throughput sequencing. First, we found that mowing and burning significantly reduced vegetation coverage (V) (p < 0.05), and burning significantly increased plant Shannon–Wiener diversity (H), Pielou evenness (E), and Simpson dominance (λ) indices (p < 0.05). Second, the two human disturbances markedly affected fungal diversity and abundance more than bacterial diversity and abundance. In fungi, burning significantly reduced beta diversity (p < 0.05) and the relative abundance of Basidiomycota (p < 0.05) but markedly increased the relative abundance of Ascomycota and Mortierellomycota. Third, redundancy analysis (RDA) showed that vegetation coverage was a significant factor in bacterial species distribution (p < 0.05). For fungi, the significant factors were species richness (S) and vegetation coverage (p < 0.01). Taken together, these data suggest that long-term mowing and burning have more of an effect on soil fungal communities than bacteria in a semiarid sandy land, improving our understanding of how terrestrial ecosystems respond to human disturbances and providing guidance for the management and restoration of sandy desertification.

Fungal feeding preferences and molecular gut content analysis of two abundant oribatid mite species (Acari: Oribatida) under the canopy of Prosopis laevigata (Fabaceae) in a semi-arid land

Prosopis laevigata (mesquite; Fabaceae) forms fertility islands in soils of semi-arid lands where microbial diversity concentrates in response to the accumulation of resources in the soil beneath individual plants, promoting organic matter decomposition and nutrient cycling. This phenomenon provides suitable conditions for the proliferation of key edaphic elements such as fungi and mites. Mite-fungal interactions are central for our understanding of nutrient cycling processes in resource-limited arid food webs; yet, no information is available about fertility islands in semi-arid lands. Thus, we aimed to determine in vitro fungal-based feeding preferences and molecular gut content of the oribatid mite species Zygoribatula cf. floridana and Scheloribates cf. laevigatus, which are abundant under the canopy of P. laevigata in an intertropical semi-arid zone in Central Mexico. Our results on the gut content analysis of these oribatid species resulted in the ITS-based identification of the following fungi: Aspergillus homomorphus, Beauveria bassiana, Filobasidium sp., Mortierella sp., Roussoella sp., Saccharomyces cerevisiae, Sclerotiniaceae sp. and Triparticalcar sp. Furthermore, under laboratory conditions both oribatid mite species exhibited feeding preferences on melanized fungi, such as Cladosporium spp., whereas A. homomorphus and Fusarium penzigi were avoided. Our findings indicated that the analyzed oribatid mite species have similar feeding preferences for melanized fungi, which might suggest resource partitioning and a degree of preference, explaining the coexistence of both oribatid species.

Effect of nitrogen fertilizer on nitrogen use efficiency and yield of selected sorghum genotypes in semi-arid regions of Kenya

Sorghum production in semi-arid lands is constrained by inadequate soil moisture and low nitrogen. Research was carried out between 2018-2020 to determine the effect of nitrogen fertilizer on nitrogen use efficiency, yield on selected sorghum genotypes and genotypes suitable for low soil fertility in semi-arid lands. The experiment was a randomized complete block design in a split-plot arrangement with 11 sorghum genotypes in the main plot and nitrogen (0, 6.5 and 32.5 kgha-1) as the sub-plots in three replicates. Nitrogen use efficiency (NUE) and its indices agronomic efficiency (AE), nitrogen internal utilization (IE), physiological efficiency (PE), nitrogen recovery efficiency, nitrogen harvest index (NHI) and partial factor productivity (PFP) were obtained from sorghum yield data and nitrogen uptake. The results showed that nitrogen application at 6.5 kgha-1 and 32.5 kgha-1 significantly increased grain yield, stover weight and total dry matter (TDM) by 43% and 116%, 39% and 85% and 42% and 57% respectively. Sorghum genotypes TTKKIAMA6, KTIRASTAMMA4, SNYAKTOSA5, and MKNKKIRWMA2 had significantly higher grain yield and low N uptake implying they are N-efficient. NUE of sorghum decreased with increasing N application. Nitrogen internal utilization efficiency (IE) was significantly higher at zero N application rate implying better N assimilation by sorghum genotypes at low N. AE, PE, RE and PFP were all significantly higher at 6.5 kg N ha-1. All tested genotypes had significantly high NUE (90 to 1148 kgkg-1, RE (27 to 94 kgkg-1), AE (41 to 139 kgkg-1), PE (27 to 84 kgkg-1) and IE (41 to 139 kgkg-1) than the check (Gadam). It was concluded that sorghum genotypes yield parameters were increased by nitrogen application, NUE was highest at low N levels and its indices were significantly higher at 6.5 kg Nha-1. Four genotypes were found to be highly N-efficient and are recommended for sorghum improvement.

A novel TF molecular switch-mechanism found in two contrasting ecotypes of a psammophyte, Agriophyllum squarrosum, in regulating transcriptional drought memory

BackgroundPrior drought stress may change plants response patterns and subsequently increase their tolerance to the same condition, which can be referred to as “drought memory” and proved essential for plants well-being. However, the mechanism of transcriptional drought memory in psammophytes remains unclear. Agriophyllum squarrosum, a pioneer species on mobile dunes, is widely spread in Northern China’s vast desert areas with outstanding ability of water use efficiency. Here we conducted dehydration-rehydration treatment on A. squarrosum semi-arid land ecotype AEX and arid land ecotype WW to dissect the drought memory mechanism of A. squarrosum, and to determine the discrepancy in drought memory of two contrasting ecotypes that had long adapted to water heterogeneity.ResultPhysiological traits monitoring unveiled the stronger ability and longer duration in drought memory of WW than that of AEX. A total of 1,642 and 1,339 drought memory genes (DMGs) were identified in ecotype AEX and WW, respectively. Furthermore, shared DMGs among A. squarrosum and the previously studied species depicted that drought memory commonalities in higher plants embraced pathways like primary and secondary metabolisms; while drought memory characteristics in A. squarrosum were mainly related to response to heat, high light intensity, hydrogen peroxide, and dehydration, which might be due to local adaptation to desert circumstances. Heat shock proteins (HSPs) occupied the center of the protein-protein interaction (PPI) network in drought memory transcription factors (TF), thus playing a key regulatory role in A. squarrosum drought memory. Co-expression analysis of drought memory TFs and DMGs uncovered a novel regulating module, whereby pairs of TFs might function as molecular switches in regulating DMG transforming between high and low expression levels, thus promoting drought memory reset.ConclusionBased on the co-expression analysis, protein-protein interaction prediction, and drought memory metabolic network construction, a novel regulatory module of transcriptional drought memory in A. squarrosum was hypothesized here, whereby recurrent drought signal is activated by primary TF switches, then amplified by secondary amplifiers, and thus regulates downstream complicated metabolic networks. The present research provided valuable molecular resources on plants’ stress-resistance basis and shed light on drought memory in A. squarrosum.

Effects of nitrogen addition and plant litter manipulation on soil fungal and bacterial communities in a semiarid sandy land.

The plant and soil microbial communities are influenced by variability in environmental conditions (e.g., nitrogen addition); however, it is unclear how long-term nitrogen addition and litter manipulation affect soil microbial communities in a semiarid sandy grassland. Therefore, we simulated the impact of N addition and litter manipulation (litter removal, litter doubling) on plant and soil microbial communities in Horqin grassland, northern China through an experiment from 2014 to 2019. Our results revealed that in the case of non-nitrogen (N0), litter manipulation significantly reduced vegetation coverage (V) (p < 0.05); soil bacterial communities have higher alpha diversity than that of the fungi, and the beta diversity of soil fungi was higher than that of the bacteria; soil microbial alpha diversity was significantly decreased by nitrogen addition (N10) (p < 0.05); N addition and litter manipulation had significantly interactive influences on soil microbial beta diversity, and litter manipulation (C0 and C2) had significantly decreased soil microbial beta diversity (p < 0.05) in the case of nitrogen addition (N10) (p < 0.05). Moreover, bacteria were mostly dominated by the universal phyla Proteobacteria, Actinobacteria, and Acidobacteria, and fungi were only dominated by Ascomycota. Furthermore, the correlation analysis, redundancy analysis (RDA), and variation partitioning analysis indicated that the soil fungi community was more apt to be influenced by plant community diversity. Our results provide evidence that plant and soil microbial community respond differently to the treatments of the 6-year N addition and litter manipulation in a semiarid sandy land.

Functional Dissection of the Physiological Traits Promoting Durum Wheat (Triticum durum Desf.) Tolerance to Drought Stress

In Tunisia's arid and semi-arid lands, drought stress remains the most critical factor limiting agricultural production due to low and irregular precipitation. The situation is even more difficult because of the scarcity of underground water for irrigation and the climate change that has intensified and expanded the aridity. One of the most efficient and sustainable approaches to mitigating drought stress is exploring genotypic variability to screen tolerant genotypes and identify useful tolerance traits. To this end, six Tunisian wheat genotypes (Triticum durum Desf.) were cultivated in the field, under a greenhouse and natural light, to be studied for their differential tolerance to drought stress. Many morpho-physiological and biochemical traits were analyzed, and interrelationships were established. Depending on the genotypes, drought stress significantly decreased plant growth, chlorophyll biosynthesis, and photosynthesis; stimulated osmolyte accumulation and disturbed water relations. The most tolerant genotypes (salim and karim) accumulated more potassium (K) and proline in their shoots, allowing them to maintain better tissue hydration and physiological functioning. The osmotic adjustment (OA), in which potassium and proline play a key role, determines wheat tolerance to drought stress. The calculated drought index (DI), drought susceptible index (DSI), drought tolerance index (DTI), K use efficiency (KUE), and water use efficiency (WUE) discriminated the studied genotypes and confirmed the relative tolerance of salim and karim.

Preparation of Cellulose Hydrogels and Hydrogel Nanocomposites Reinforced by Crystalline Cellulose Nanofibers (CNFs) as a Water Reservoir for Agriculture Use

An effective strategy for the management of available water and fertilizers is imperative to improve agricultural production and food quality, including releasing them sustainably to the soil and plants. Polymeric hydrogels with three-dimensional (3D) networks can absorb ample water and soluble fertilizers without network dissolution. Subsequently, the absorbed water and fertilizers can be released to arid and semi-arid agricultural land to furnish enough moisture and nutrients for plant growth. In this study, carboxymethyl cellulose sodium salt (NaCMC)- and hydroxyethyl cellulose (HEC)-based hydrogels have been synthesized using citric acid (CA) as a crosslinker. The Fourier transform infrared (FTIR) spectroscopy study revealed the formation of hydrogels with porous structures depicted by field emission scanning electron microscopy images. The prepared hydrogels have shown a remarkable swelling ratio of ∼1070% for the hydrogel prepared using NaCMC/HEC: 2/1 and ∼840% for NaCMC/HEC: 3/1 and a reduction in the swelling ratio with increasing crosslinking density. Moreover, crystalline (shown by X-ray diffraction) cellulose nanofibers (CNFs: ∼600 nm), prepared by acid (H2SO4) hydrolysis of cotton fibers, have been used to prepare hydrogel nanocomposites. The evaluation of hydrogel nanocomposites’ mechanical properties (universal testing matching test) depicted an improved tensile strength (16.27 MPa using 0.7% CNFs) compared to that of the hydrogel without CNFs. The soil burial test for biodegradation study of prepared hydrogels revealed soil degradation of hydrogel, confirmed by FTIR analysis and visual appearance. The current study provides comprehensive data establishing the potential of hydrogels for agriculture applications.

Factors Influencing Farmers’ Adaptations to Climate Change and Variability in Arid and Semi-Arid Lands of Kitui and Kajiado Counties, Kenya

A study was conducted in the arid and semi-arid lands of Kitui and Kajiado counties to determine factors that influence farmers’ adaptation to climate change and variability. Quantitative and qualitative approaches were applied in the study to gain insights into the adaptation strategies used by farmers to cope with climate change and variability and factors that influence their adoption. A mix of purposeful and multistage stratified random sampling methods were used to select households which formed the unit of analysis in the study. Results of the Chi-square test for independence indicated that there was an association between the adoption of different adaptation strategies to climate change and variability and the study sites (p&lt; 0.05). In addition, scrutiny of the results of logistic regression analysis showed that gender, education level, farming experience, age, and county of the respondent significantly (p&lt;0.05) influenced the adoption of adaptation strategies to climate variability and extremes in the study area. The study identified the need for increased agricultural extension training and sensitisation on climate change among farmers to ensure that feasible adaptation strategies are promoted and factors influencing their adoption are leveraged

Sustainable Financing and Strategic Marketing Increase the Performance of Abattoirs in Pastoral Settings

The economy of Kenya's arid and semi-arid lands relies primarily on livestock keeping. In Turkana, livestock farming is depended on by over 60% of the population; a source of food and nutrition, income, and capital for diversified sources of living. Abattoirs are crucial tertiary markets and units of livestock trade capable of linking livestock-producing areas and herders with potential markets. Conversely, operational challenges have grossly hindered Kenyan abattoirs’ functionality, competitiveness, and profitability. The focus of the study was the non-functionality of the Lomidat abattoir in Turkana, established in 2006 by AMREF and Terra Nuova using donor assistance but halted operations in 2013. In order to discover the reasons that contributed to the non-functionality of the Lomidat abattoir, four study objectives were formulated i.e., (i) to establish the historical context of the Lomidat abattoir during its operational period, (ii) to ascertain the political, economic, social, technological, legal, and environmental factors that influenced the operations of the abattoir, (iii) to identify the potential markets for the abattoir and the viability of each, and (iv) to find out the critical focus areas for the abattoir's competitive and comparative advantages. The study uses exploratory and descriptive research designs, a mixed method study approach, and convenience and probability sampling techniques to generate a study sample of 81 out of a sampling frame of 86. The study populations were livestock traders (primary respondents) and government and civil society focal points (secondary respondents) purposively selected where a semi-structured questionnaire was administered to them. The investigation results indicate that many political, economic, social, cultural, legal, and environmental glitches severely impacted the operations of the Lomidat abattoir which include insufficient funding, rampant internal and cross-border conflicts, government legislation and policy, long distances to markets, and high transportation expenses. Strategic management and marketing, extensive market research, crafting of the appropriate business model for the abattoir, assured government and donor funding, the establishment of public-private partnerships, adoption of opportunity cost livestock-based enterprises, and empowerment of Lomidat Cooperative Society are the priority strategies for reviving the abattoir and putting it into use. The study concludes that sufficient financing and strategic marketing are critical in sustaining abattoirs’ operations in pastoral settings.

Future Scenarios for Aridity under Conditions of Global Climate Change in Extremadura, Southwestern Spain

Aridity conditions in semi-arid lands with warm climates are key variables that must be assessed to properly manage water and plan to minimise the threat of desertification. This study analyses the spatial distribution of aridity in Extremadura, southwestern Spain, using the De Martonne aridity index (IDM), considering a historical reference period (1971–2005) and three-time intervals: 2006–2035 (near future), 2036–2065 (mid-century) and 2066–2095 (end of the century). Projections were computed using a set of ten global climate model (GCM) and regional climate model (RCM) combinations under two representative concentration pathways (RCPs), RCP4.5, an intermediate anthropogenic radiative forcing scenario, and RCP8.5, a fossil-intensive emission scenario. Progressive strengthening of aridity conditions over Extremadura was evident until the end of the century, mainly under the RCP8.5 scenario. From the predominance of the Mediterranean aridity class in the south of the region during the reference period, semi-arid conditions will soon spread across this zone, occupying most of it during mid-century and later. In the north of Extremadura, less arid conditions will be reduced to the highest elevations, increasing the Mediterranean and semi-arid categories, particularly under the RCP8.5 scenario. Consequently, the projected increase in aridity conditions in Extremadura will make this region more vulnerable to climate change. Policies devoted to adapting to the expected conditions and controlling aridity in vulnerable areas will be necessary to mitigate the negative impacts, with significant environmental and socio-economic implications in the region.

The Influence of Communication Participants on Adoption of Contagious Bovine Pleuropneumonia (CBPP) Vaccine among Arid and Semi-Arid Lands (ASAL) Pastoralists in Kenya

Purpose: The purpose of this study was to establish the influence of communication participants on adoption of Contagious Bovine Pleuropneumonia (CBPP) Vaccine among Arid and Semi-Arid Lands (ASAL) pastoralists in Kenya.&#x0D; Methodology: The study population was pastoralists in Narok South Sub-county. Sample size was 468 respondents inclusive of qualitative and quantitative samples where 440 responded to questionnaire, 24 in focus group discussions, and 4 in key informant interviews. Cross-sectional research design entailing collection of qualitative and quantitative data was used to assess association between variables. Multi stage, purposive, simple random, systematic and stratified sampling techniques were then employed to come up with respondents. Data derived from 468 respondents was analyzed using statistical Package for Social Scientists (SPSS) version 20.0 and presented using regression coefficients and ANOVA.&#x0D; Findings: All respondents engaged in discussions with others before vaccinating cattle against CBPP. This is because as members of social groups, they interacted with each other through networks, a dominant mechanism for diffusion. Within parameters of experts, veterinary officers and agro-veterinary sales people were influential. In the community, family and neighbours were equally influential and among peers were elders and herders. These influencers were effective because of their attributes and social qualities; trustworthiness and credibility, accessibility, knowledgeability, government authority, advised on many issues, related easily with others and were friendly.&#x0D; Unique contribution to theory, practice and policy: Some people have influence over others in CBPP vaccine adoption among ASAL pastoralists. Governments, veterinary researchers, and communication experts need to leverage on them to encourage diffuse of the vaccine. These influencers could also be trained on some basic aspects of disease reporting, control and eradication.

Socio-Economic Vulnerability and Adaptations of Fish Farmers to Climate Variability and Extreme Climate Events in Selected Parts of Kitui County, Kenya

Climate variability and extreme climate events is one of the many challenges faced by fish farmers. The present study was carried out to assess and compare the socio-economic vulnerability and adaptations of fish farmers to climate variability and extreme climate events in arid and semi-arid lands of Central and Eastern parts of Kitui County, Kenya. Both study sites were purposively selected and the descriptive research design adopted. A total of 60 fish farming households were randomly selected to form the sample size for the study. The socio-economic vulnerability analysis of the fish farmers was based on an index constructed from carefully selected indicators for adaptive capacity. Principal Component Analysis was used to give weights to the indicators. The overall adaptive capacity index results revealed that possession of various assets varied between the two study sites, implying a spatial difference in socio-economic vulnerability between the two study sites. Regarding adaptation, results revealed that the level of adoption of various adaptation strategies to climate variability and extreme climate events also differed significantly between the two study sites and was subject to the adaptive capacity of the fish farmer. Therefore, this study recommends that the socio-economic vulnerability profile of the fish farmers inform any adaptation actions to be taken on fish farmers in arid and semi-arid lands.