Semi-arid Environments Research Articles

Dynamic simulation modeling for sustainable water management with climate change in a semi-arid environment

Climate change is a significant challenge for sustainable water management in arid and semi-arid environments. The practical importance of the study lies in its use of system dynamics (SD) methodology for sustainable water management in semi-arid regions under climate change. This approach could provide a valuable tool for policy makers and stakeholders to mitigate the impacts of climate change on water resources. The objective of this study is to investigate the impacts of climate change on irrigation water withdrawals (IWW) in the southeast New Mexico (SENM), USA, and to evaluate some adaptation practices such as improving irrigation efficiency and changing cultivation patterns. By evaluating the effectiveness of these practices in reducing IWW, this study may also contribute to improving the resilience of water systems under climate change. The study utilized the SENM model, which is based on SD modeling. The model assesses the impacts of climate change impacts and proposed adaptation practices on IWW, aiming to enhance our understanding of their trends and behavior over the simulation period. Eight dynamic simulations were conducted to analyze and evaluate the performance of IWW reduction over the time span from 2000 to 2100. The model simulation results indicate that climate change will lead to increased IWW. The annual IWW have increased by an average of 1.18 % to 1.97 % due to climate change. A range of IWW reductions from 3 % to 57 % was associated with different combinations of improved conveyance and field irrigation efficiencies and changes in crop-cultivated areas that need significant amounts of irrigation water. The practices aimed at reducing the larger irrigated crop areas were most effective in decreasing IWW. Changing the cultivation pattern has a greater impact on IWW than improving irrigation efficiency practices alone. Decreasing cultivated areas reduced IWW by an average of about 42 %, and improving irrigation efficiency reduced them by an average of 12 %. However, combining both approaches result in the greatest net reduction in IWW. The combined practices of cropping and irrigation management are associated with greatly reduced IWW by an overall average reduction of 52 %. The study also shows that SD modeling enhances our understanding and evaluation of climate change’s impact on water resources in the SENM.

The implications of climate change on freshwater resources in the arid and semiarid Mediterranean environments using hydrological modeling, GIS tools, and remote sensing.

Precipitation partitioning in arid and semiarid environments is not well understood due to scanty precipitation, its temporal distribution, and the lack/absence of adequate measurements of the hydrometeorological components. Simulation methods have the potential to bridge the data gap, thereby providing a window to estimate the water balance components. The present investigation evaluates the water balance components of a typical watershed situated in the southeastern Mediterranean for the period 1979 through 2019 using daily meteorological data and a grid spacing of 250 m. Generated runoff results were commensurate with corresponding values obtained using the SWAT model. Computed groundwater recharge is also compatible with recharge values calculated using the chloride mass balance method. Results show that average runoff and groundwater recharge for the entire period was ⁓24 mm a-1 and 19 mm a-1, giving a precipitation ratio of 9.5% and 7.5%, respectively. Substantial interannual variability in the water balance components was observed during the study period which reflected the significant precipitation fluctuations typifying the Eastern Mediterranean. Results show that the period extending from 1998/1999 through 2018/2019 witnessed an 18% drop in annual precipitation, while surface runoff and groundwater recharge experienced a reduction of ⁓34% and ⁓67%, respectively. Although groundwater recharge is a complex function of numerous meteorological and geological factors, the NDVI can provide an excellent indicator of groundwater recharge in marginal Mediterranean environments. This is highly beneficial in areas where climate records are scanty or absent. The presented results emphasize the significant impacts of global warming and aridification on the future availability of water resources in the semiarid marginal climates in the Eastern Mediterranean and point out clearly that water resources in this area will become scarcer, leading to multiple security threats at national and regional levels.

Global-scale water security and desertification management amidst climate change.

Deserts and semi-arid environments are habitats torare species, rich cultural heritage, and essential ecological processes. Approximately 46% of the world's surface area is covered by drylands (arid, semi-arid, and dry sub-humid areas), where 3 billion people live and unfortunately witness water insecurity and desertification implications. In this context, the present study argued that reduced dryland ecosystem services and decreased ecosystem health have resulted from the individual and compounding impacts of desertification, water scarcity, and climate change. At 1.5°C, 2°C, and 3°C of global warming, under the shared socio-economic pathway SSP2, the number of people living in drylands who will be affected by various effects on water, energy, and land sectors is projected to reach 951 million, 1152 million, and 1285 million, respectively. Due to combinations of land use change, rainfall variations, fire suppression, and CO2 fertilization, as well as unsustainable management, widespread woody encroachment has occurred in many shrublands and savannas in Africa, Australia, North America, and South America. This hasaltered biodiversity and reduces ecosystem services, such as water availability and grazing potential. The north side of the Mediterranean, southern Africa, and North and South America are projected to have the most semiarid expansion. Contrarily, drylands are expected to shrinkin India, northern China, eastern equatorial Africa, and the southern Sahara. Growing research evidence highlights the adoption of policy frameworks deriving the solutions from soil land management (SLM), indigenous and local knowledge (ILK), early warning systems coupled with adaptation and mitigation responses, and targets of sustainable development goals (SDGs).

Contrasting regulation of leaf gas exchange of semi-arid tree species under repeated drought.

Predicting how plants respond to drought requires an understanding of how physiological mechanisms and drought response strategies occur, as these strategies underlie rates of gas exchange and productivity. We assessed the response of 11 plant traits to repeated experimental droughts in four co-occurring species of central Australia. The main goals of this study were to: (i) compare the response to drought between species; (ii) evaluate whether plants acclimated to repeated drought; and (iii) examine the degree of recovery in leaf gas exchange after cessation of drought. Our four species of study were two tree species and two shrub species, which field studies have shown to occupy different ecohydrological niches. The two tree species (Eucalyptus camaldulensis Dehnh. and Corymbia opaca (D.J.Carr & S.G.M.Carr) K.D.Hill & L.A.S.Johnson) had large reductions in stomatal conductance (gs) values, declining by 90% in the second drought. By contrast, the shrub species (Acacia aptaneura Maslin & J.E.Reid and Hakea macrocarpa A.Cunn. ex R.Br.) had smaller reductions gs in the second drought of 52 and 65%, respectively. Only A. aptaneura showed a physiological acclimatation to drought due to small declines in gs versus ᴪpd (0.08 slope) during repeated droughts, meaning they maintained higher rates of gs compared with plants that only experienced one final drought (0.19 slope). All species in all treatments rapidly recovered leaf gas exchange and leaf mass per area following drought, displaying physiological plasticity to drought exposure. This research refines our understanding of plant physiological responses to recurrent water stress, which has implications for modelling of vegetation, carbon assimilation and water use in semi-arid environments under drought.

Unveiling fractional vegetation cover dynamics: A spatiotemporal analysis using MODIS NDVI and machine learning

Understanding the dynamics of Fractional Vegetation Cover (FVC) is crucial for effective environmental monitoring and management, especially in regions like Pakistan that are sensitive to climate change. This study employs an innovative approach using MODIS NDVI data and the Pixel Dichotomy Model (PDM) to analyze the spatiotemporal dynamics of FVC across Pakistan from 2003 to 2020. Our findings reveal an overall increasing trend in FVC, with the highest value recorded in 2017 (0.37) and the lowest in 2004 (0.26). The Hurst exponent analysis (R/S ratio = 0.718) indicates a degree of long-term memory in the FVC time series. Rainfall was found to positively correlate with FVC (r = 0.6), while Land Surface Temperature (LST) and the Compounded Night Light Index (CNLI) exhibited negative correlations (r = −0.59 and r = −0.43, respectively). The Random Forest regression model highlighted CNLI as the most influential predictor (importance = 62.4%), emphasizing the need to consider human-induced factors in environmental management. These results provide critical insights for sustainable land management and contribute to understanding vegetation-climate interactions in arid and semi-arid environments."

Development of single and dual crop coefficients for drip-irrigated broccoli using weighing type field lysimeters in semi-arid environment

Development of single and dual crop coefficients for drip-irrigated broccoli using weighing type field lysimeters in semi-arid environment

Effect of Drought and Rehydration on Physiological Characteristics of Agriophyllum squarrosum (L.) Moq. in Different Habitats.

Agriophyllum squarrosum (L.) Moq. is a highly prevalent xerophytic species found throughout northern China. It is suitable for cultivation in semi-arid sandy environments and may establish roots in arid desert locations. This species plays a pioneering and exploratory role in the colonization of desert plants. In this study, we selected A. squarrosum from the Urat desert steppe (UD) and Horqin sandy land (HS) to explore their adaptation mechanisms to drought and rehydration environments by using the pot weighing control method to simulate an arid environment. The findings showed that the control (watering to 60-65% of field capacity) exceeded its required amount and the leaves turned yellow. The chlorophyll content was lower than those under moderate and severe drought, and rehydration caused a decrease. However, the contents of malondialdehyde, soluble sugar, and proline in the drought treatment were higher than those in the control. Under moderate and severe drought, the chlorophyll content and the quantum efficiency of photosystem II (Fv/Fm) of A. squarrosum from UD were higher than those from HS. During drought and rehydration processes, the proline content was relatively lower, while the activities of peroxidase (POD), superoxide dismutase (SOD), and catalase (CAT) and the content of soluble sugar and soluble protein were higher. However, antioxidant enzymes and osmoregulators from UD were higher than those from HS. The results suggest that the stronger ability of A. squarrosum to endure drought environments in UD is due to the high level of antioxidant enzymes and osmoregulators, which are conducive to relieving cell membrane damage when subjected to drought and rehydration.

Geochemical Modeling and Quality Assessment of the Surface Waters from the Mouhoun River System, Burkina Faso: Implications of Water–Rock Interactions and Anthropogenic Activities

Major ion and heavy metal geochemistry was used to investigate the factors that control the Mouhoun River water quality in western Burkina Faso. Major cation concentrations was in the following decreasing order: Ca2+> Na+> K+> Mg2+, reflecting silicate weathering. However, relatively high HCO3- and SO42- concentrations could be related to dissolution of calcite and sulfide minerals, respectively. The average heavy metal concentrations in the riverine system were in the following order: FeT>Ag>Mn>Zn>Pb>Cu>Ni>AsT>Cr>Hg>Co>Cd with FeT and Ag exceeding the World Health Organization permissible limits. Concentrations of all heavy metals, except Cr, were higher in the Mouhoun system compared to the average world river concentrations. Adsorption and speciation models showed that Zn, Ag, Cd, Co, Cr and Ni are likely to remain in their free ionic forms, and thus posing serious threats to aquatic life and human health. Ag-Hg-Ni-Cd association around Poura and Tenado on the principal component plot suggested that the widespread artisanal gold mining in these areas may have contributed to these metals’ loading. In contrast, NH4+, Pb, Cu, Cr, AsT and Zn were clustered around a densely populated and industrialized Kou watershed, pointing to agricultural and industrial sources of these pollutants. Furthermore, the Kou River had the highest metal index followed by Tenado, Samendeni, Poura and Boromo. Hence, the chemistry of the Mouhoun River and its tributary appears to be mainly controlled by population density and various anthropogenic activities taking place in their drainage basins. The findings could provide avenues for sound and sustainable water resource management in a water scarce semi-arid environment.

Wet creatures in a warming world: How climate change will impact the future distribution of anuran amphibians from Brazilian semiarid region?

The world has been going through a climate crisis that has led to a substantial increase in global temperatures. Consequently, amphibians, ectothermic animals that depend on water to survive/reproduce, are under increasing threat. In this research, we compared the influence of climate change on the geographic distribution between anuran species with occurrence restricted to the Brazilian semi-arid region (Caatinga domain) and widely distributed congeneric species, with occurrence in multiple biomes. We hypothesized that climate change would be more harmful for species of restricted distribution than for those widely distributed. For this purpose, using ecological niche modeling, we designed potential distribution models for current and four future climate scenarios, and compared two metrics (climatic suitability and index of extent of occurrence) between restricted and widely distributed species. The results revealed that the climatic suitability did not differ among current climatic conditions and those expected for 2050 and 2090, nor differed between species with distribution restricted to the Caatinga and widely distributed ones. On the other hand, contrary to our predictions, while species with wide distributions would tend to retract their extent of occurrence in future times, species with restricted distributions would expand their ranges. These results suggest that species with current distribution restricted to Caatinga biome might be relatively favored by the climate changes predicted for the next 80 years. However, we discuss that this result should be interpreted with very caution, because many ecological and conservation requirements need to be guaranteed so that these predictions can actually occur. Our findings contributed to the understanding of the effects of climate change on closely related taxa, with different distribution patterns, revealing particularities of the anuran amphibians that occur in semi-arid environments in response to climate changes predicted for this century.

The local cooling potential of land restoration in Africa

Land restoration is becoming increasingly popular as a climate change mitigation and adaptation measure. It is suggested that resulting vegetation changes can impact the local surface temperature through biophysical processes such as albedo warming and evaporative cooling. Yet, the potential effect of land restoration on the local surface temperature in Africa remains uncertain. In this study, we use Terra MODIS time series of vegetation, albedo, and land surface temperature to determine vegetation-temperature relationships at a continental scale. We show that vegetation-albedo and vegetation-temperature relationships do not only vary spatially across Africa but also temporally over different time scales, with strong cooling effects in semi-arid environments. Furthermore, we predict that land restoration can decrease local land surface temperature by around 0.2 Kelvin on average. This study gives a more detailed insight into where future land restoration provides additional positive climate impacts, and where land restoration may instead warm the local environment.

Semi-Arid Environmental Conditions and Agronomic Traits Impact on the Grain Quality of Diverse Maize Genotypes.

We assessed the impact of environmental conditions and agronomic traits on maize grain quality parameters. The study was conducted using genotypes with distinct genetic constitutions developed specifically for late sowing in semi-arid environments. We evaluated the agronomic, physical, and chemical characteristics of eight maize open-pollinated varieties, six inbred lines, and three commercial hybrids. The yield of the open-pollinated varieties showed a positive correlation with protein content (r = 0.33), while it exhibited a negative correlation with the carbohydrate percentage (r = -0.36 and -0.42) in conjunction with the inbred lines. The flotation index of the hybrids was influenced primarily by the environmental effect (50.15%), whereas in the inbred lines it was nearly evenly divided between the genotype effect (45.51%) and the environmental effect (43.15%). In the open-pollinated varieties, the genotype effect accounted for 35.09% and the environmental effect for 42.35%. The characteristics of plant structure were associated with grain quality attributes relevant for milling, including hardness and test weight. Inbred lines exhibited significant genotype contributions to grain hardness, protein, and carbohydrate content, distinguishing them from the other two germplasm types. These associations are crucial for specific genotypes and for advancing research and development of cultivars for the food industry.

Relics of interspecific hybridization retained in the genome of a drought-adapted peanut cultivar.

Peanut (Arachis hypogaea L.) is a globally important oil and food crop frequently grown in arid, semi-arid, or dryland environments. Improving drought tolerance is a key goal for peanut crop improvement efforts. Here we present the genome assembly and gene model annotation for 'Line8', a peanut genotype bred from drought tolerant cultivars. Our assembly and annotation are the most contiguous and complete peanut genome resources currently available. The high contiguity of the Line8 assembly allowed us to explore structural variation both between peanut genotypes and subgenomes. We detect several large inversions between Line8 and other peanut genome assemblies, and there is a trend for the inversions between more genetically diverged genotypes to have higher gene content. We also relate patterns of subgenome exchange to structural variation between Line8 homeologous chromosomes. Unexpectedly, we discover that Line8 harbors an introgression from A.cardenasii, a diploid peanut relative and important donor of disease resistance alleles to peanut breeding populations. The fully resolved sequences of both haplotypes in this introgression provide the first in situ characterization of A.cardenasii candidate alleles that can be leveraged for future targeted improvement efforts. The completeness of our genome will support peanut biotechnology and broader research into the evolution of hybridization and polyploidy.

Multi-source machine learning and spaceborne remote sensing data accurately predict three-dimensional soil moisture in an in-service uranium disposal cell

One reason arid and semi-arid environments have been used to store waste is due to low groundwater recharge, presumably limiting the potential for meteoric water to mobilize and transport contaminants into groundwater. The U.S. Department of Energy Office of Legacy Management (LM) is evaluating selected uranium mill tailings disposal cell covers to be managed as evapotranspiration (ET) covers, where vegetation is used to naturally remove water from the cover profile via transpiration, further reducing deep percolation. An important parameter in monitoring the performance of ET covers is soil moisture (SM). If SM is too high, water may drain into tailings material, potentially transporting contaminants into groundwater; if SM is too low, radon flux may increase through the cover. However, monitoring SM via traditional instrumentation is invasive, expensive, and may fail to account for spatial heterogeneity, especially over vegetated disposal cells. Here we investigated the potential for non-invasive SM monitoring using radar remote sensing and other geospatial data to see if this approach could provide a practical, accurate, and spatially comprehensive tool to monitor SM. We used theoretical simulations to analyze the sensitivity of multi-frequency radar backscatter to SM at different depths of a field-scale (3 ha) drainage lysimeter embedded within an in-service LM disposal cell. We then evaluated a shallow and deep form of machine learning (ML) using Google Earth Engine to integrate multi-source observations and estimate the SM profile across six soil layers from depths of 0–2 m. The ML models were trained using in situ SM measurements from 2019 and validated using data from 2014 to 2018 and 2020–2021. Model predictors included backscatter observations from satellite synthetic aperture radar, vegetation, temperature products from optical infrared sensors, and accumulated, gridded rainfall data. The radar simulations confirmed that the lower frequencies (L- and P-band) and smaller incidence angles show better sensitivity to deeper soil layers and an overall larger SM dynamic range relative to the higher frequencies (C- and X-band). The ML models produced accurate SM estimates throughout the soil profile (r values from 0.75 to 0.94; RMSE = 0.003–0.017 cm3/cm3; bias = 0.00 cm3/cm3), with the simpler shallow-learning approach outperforming a selected deep-learning model. The ML models we developed provide an accurate, cost-effective tool for monitoring SM within ET covers that could be applied to other vegetated disposal cell covers, potentially including those with rock-armored covers.

Extent of Adoption of Selected Climate-smart Agricultural Practices among Smallholder Farmers in Laikipia County, Kenya

Aim: Climate Smart Agriculture (CSA) is an integrative approach to address the challenges of food security and climate change. This study sought to assess the extent of adoption of climate smart agricultural practices in Laikipia County, Kenya. Study Design: This study used correlation research design. Place and Duration of Study: The study was carried out in Laikipia county. Specifically in the sub-counties Laikipia West, Laikipia East and Laikipia North. The study was carried out in July – August 2022. Methodology: A multi-stage sampling technique was used to obtain a representative sample of 384 smallholder farmers households across the three sub-counties. Systematic random sampling was used to select every tenth household from the sample size. A questionnaire was used to collect data from the sampled households (all of whom were smallholder farmers). Descriptive statistical analysis was used to determine the extent of adoption of selected Climate Smart Agricultural Practices among smallholder farmers in Laikipia County, Kenya. The study used a chi-square (X²) test of independence to establish a relationship in the adoption of CSA practices across the three study sites Results: This study found that crop diversification (87%), mixed farming (crop farming and livestock keeping) (83%), use of pesticides and fungicides (80%) and crop rotation (74%) were the most adopted climate smart agricultural practices (CSAPs). On extent of adoption, full adoption was highest on pest and disease control (54%) and diversification of farming practices (52%); partial adoption was highest in conservation agriculture (54%); and non-adoption was highest on agroforestry (42%). Conclusion: It is recommended that stakeholders should improve the adoption of water harvesting/use, conservation agriculture and agroforestry – critical climate smart agricultural practices in semi-arid environments.

Drainage lysimeter based measurement of water requirement and crop coefficient of bread wheat under semi-arid climate of Melkassa, Ethiopia

In view of the changing climate and growing global food demand, efficient water management is crucial for sustainable agriculture. Accurate measurement of evapotranspiration is essential for determining crop water demand and consequently for designing and managing irrigation systems. This study, conducted at Melkassa Agricultural Research Center in Ethiopia, utilized a drainage lysimeter to investigate the water requirements and crop coefficients of the Kingbird wheat variety during the December to March cropping season in 2021/22 and 2022/23. The experiment involved planting Kingbird wheat both inside and outside the lysimeter and irrigating using a watering can. Neutron probe measurement monitored the water balance in the soil. The study determined an average crop evapotranspiration of 427.28 mm and a reference evapotranspiration of 471.30 mm indicating a water requirement of 4273 m³ to fully grow wheat on a hectare of land. The derived average crop coefficient values were 0.43, 0.93, 1.15, and 0.30 for the initial, mid-season, and end growth stages, respectively. Furthermore, a fifth-order polynomial function was developed to predict crop coefficient values based on days after sowing. The findings provide valuable insights for enhancing the design and management of irrigated wheat production in the region. The specific crop coefficient values determined for different growth stages are crucial for optimizing irrigation scheduling and improving water-use efficiency, contributing to sustainable wheat production in semi-arid environment.

Delineation and validation of GIS-based groundwater potential zones under arid to semi-arid environment using multi-influence-factors approach

ABSTRACT Groundwater is an indispensable source for domestic-use, agriculture, industry and sustainable development. Groundwater scarcity is Pakistan’s emerging issue, especially in the arid and semi-arid regions of southern Khyber Pakhtunkhwa. This study intends to demarcate the groundwater potential zones (GWPZ) in these regions using Multi-Influence-Factors (MIF), validated with Vertical Electrical Sounding (VES) and well data. The study region was classified into four GWPZ: very high (340 km2), high (4997.11 km2), moderate (17615.14 km2) and poor (16355.46 km2). These interpretations were supported by the VES survey, and water bearing layers have been recognized at 32 m, 137 m, 87 m, 10 m at VES points 1, 2, 3, and 4, respectively in Karak, and at 152 m, 194 m, and 93 m at VES points 1, 2, and 3, respectively in Lakki Marwat, while at 125 m, 119 m and 80 m at VES points 1, 2 and 3, respectively in D. I. Khan. The southern region is predominantly poor, the northern and northeastern parts are high to very high, while the southwest part has moderate potential. Water depth is <40 m at very high potential, 40 to 70 meters at high potential, and 150 to 180 meters in poor zones. This study will help to enhance the applicability of integrated methodologies for groundwater investigations under arid conditions.

Water availability and accessions of Passiflora cincinnata Mast. can shape the communities of arbuscular mycorrhizal fungi

Understanding how water availability affects different caatinga passionfruit accessions (Passiflora cincinnata Mast.) and their drought tolerance is crucial for successful cultivation in semi-arid environments. Additionally, assessing the impact of this stress on arbuscular mycorrhizal fungi (AMF) communities' structure and dynamics is also essential. A greenhouse experiment was conducted with the purpose of identifying tolerant and sensitive P. cincinnata accessions under drought stress and how the water availability would affect AMF communities, which were taxonomically identified based on morphological characters. Results show that water availability influenced height, stem diameter, total chlorophyll, dry and fresh shoot biomass, fresh root biomass, leaf area, number of leaves and tendrils, and root/shoot ratio of accessions of P. cincinnata. However, water availability did not influence root dry biomass, only the identity of P. cincinnata accessions differed from each other. In the PCA-based ranking, based on the morpho-descriptors traits, and on the indices of drought stress tolerance, accessions 01 and 48 were considered tolerant and sensitive to drought, respectively. The abundance of glomerospores and the AMF richness are not influenced by the factors studied, but water availability has increased the frequency of mycorrhizal colonization, diversity, and evenness of AMF species, in addition to reducing its dominance. AMF communities’ composition was modulated by P. cincinnata accessions and by water availability. Utilizing morpho-agronomic traits, it becomes feasible to differentiate P. cincinnata accessions exhibiting tolerance and sensitivity to drought stress. Particular emphasis is placed on fresh and dry shoot biomass, leaf area, and height, each contributing approximately 12% to these outcomes. Changes on the composition of AMF communities after imposition of water deficit suggest that some AMF species may show some drought tolerance and that preferences for P. cincinnata genotypes may exist.

Irrigation of ‘Prata-Anã’ Banana with Partial Root-Zone Drying in a Semi-Arid Environment

Irrigation of ‘Prata-Anã’ Banana with Partial Root-Zone Drying in a Semi-Arid Environment

Assessment of Climate Change Impact on Potato-Potato Cropping System Under Semi-arid Environment and Designing of Adaptation Strategies

Assessment of Climate Change Impact on Potato-Potato Cropping System Under Semi-arid Environment and Designing of Adaptation Strategies

50-year seasonal variability in East African droughts and floods recorded in central Afar lake sediments (Ethiopia) and their connections with the El Niño–Southern Oscillation

Abstract. Understanding past and present hydrosystem feedbacks to global ocean–atmospheric interactions represents one of the main challenges to preventing droughts, extreme events, and related human catastrophes in the face of global warming, especially in arid and semiarid environments. In eastern Africa, the El Niño–Southern Oscillation (ENSO) was identified as one of the primary drivers of precipitation variability affecting water availability. However, the northern East African Rift System (EARS) still suffers from the underrepresentation of predictive and ENSO teleconnection models because of the scarcity of local to regional historical or palaeo-data. In this paper, we provide a 50-year seasonal flood and drought chronicle of the Awash River catchment from the study of laminated sediment from Gemeri and Afambo lakes (central Afar region, Ethiopia) with the aim of reconstructing the magnitude of regional hydroclimatic events. Pluricentimetric micro-laminated lithogenic facies alternating with plurimillimetric carbonate-enriched facies are investigated in both lakes. We couple dating methods including radiocarbon, short-lived radionuclides, palaeomagnetic field variations, and varve counting on both lake deposits to build a high-resolution age model and to discuss the regional hydrosedimentary dynamics of the Awash River over the last ∼ 700 years with a focus on the last 50 years. Using a multiproxy approach, we observe that following a multicentennial enhanced hydrological period, the two lakes have experienced a gradual decrease in river load inflow since 1979 CE, attaining extreme drought and high evaporative conditions between 1991 and 1997 CE. In 2014, the construction of a dam and increased agricultural water management in the lower Awash River plain impacted the erodibility of local soils and the hydrosedimentary balance of the lake basins, as evidenced by a disproportionate sediment accumulation rate. Comparison of our quantitative reconstruction with (i) lake water surface evolution, (ii) the interannual Awash River flow rates, and (iii) the El Niño 3.4 model highlights the intermittent connections between ENSO sea surface temperature anomalies, regional droughts, and hydrological conditions in the northern EARS.