Articles | Volume 29, issue 4
https://doi.org/10.5194/hess-29-863-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-863-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Feb 2025
Research article |
| 20 Feb 2025
| 20 Feb 2025
Green water availability and water-limited crop yields under a changing climate in Ethiopia
Mosisa Tujuba Wakjira
CORRESPONDING AUTHOR
Institute of Environmental Engineering, ETH Zurich, Laura-Hezner-Weg 7, 8093 Zurich, Switzerland
Nadav Peleg
Institute of Earth Surface Dynamics, University of Lausanne, 1015 Lausanne, Switzerland
Expertise Center for Climate Extremes, University of Lausanne, 1015 Lausanne, Switzerland
Johan Six
Institute of Agricultural Science, ETH Zurich, Universitätstrasse 2, 8092 Zurich, Switzerland
Peter Molnar
Institute of Environmental Engineering, ETH Zurich, Laura-Hezner-Weg 7, 8093 Zurich, Switzerland
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Nowadays, minimizing agricultural soil tillage is widely promoted but often leads to lower crop yields. This study combines experimental evidence globally to identify soil-related causes of these yield declines. Results show that minimized tillage, especially without leaving crop residues on the field, can cause soil compaction, limiting root growth and the movement of air and water needed by crops. This suggests that conservation agriculture should only be applied where suitable.
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Deforestation for croplands on tropical hillslopes causes severe soil degradation and loss of fertile topsoil. We found that this leads to a steep decline in soil fertility, including organic carbon, nitrogen, and phosphorus. This makes the land unproductive, often leading farmers to abandon it. Replanting with Eucalyptus trees doesn't restore fertility. This degradation leads to cropland lifespans of only 145±56 years and poses a serious threat to future food production.
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Nowadays, minimizing agricultural soil tillage is widely promoted but often leads to lower crop yields. This study combines experimental evidence globally to identify soil-related causes of these yield declines. Results show that minimized tillage, especially without leaving crop residues on the field, can cause soil compaction, limiting root growth and the movement of air and water needed by crops. This suggests that conservation agriculture should only be applied where suitable.
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Streamflow observations contain information about snow, but their potential to constrain seasonal snow mass reconstructions remains underexplored. Using inverse hydrological modeling, we show that streamflow is particularly effective at constraining catchment-aggregated melt rates, but that non-uniqueness in the snow–streamflow relationship and uncertainties in the inverse modeling chain can easily limit inversion performance.
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To improve understanding of how coffee farming affects soil carbon storage, we reviewed 80 studies and found large differences in methods and reporting. Based on this evidence, we propose clear guidance for future research, including better study design, deeper soil sampling, careful measurement of soil density, and transparent reporting. Stronger and more consistent methods are needed so that research can produce reliable evidence to guide climate policy and sustainable coffee management.
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SOIL, 12, 187–204, https://doi.org/10.5194/soil-12-187-2026, https://doi.org/10.5194/soil-12-187-2026, 2026
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To improve soil health and increase crop yields, organic matter is commenly added to arable soils. Studying the effect of different organic resources on soil organic carbon sequestration in four long-term field trials in Kenya, we found that only a small portion (< 7 %) of added organic carbon was stabilised, which was only observed in the top 15 cm of the soil. These results underline the challenges associated with increasing the organic carbon content of tropical arable soils.
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EGUsphere, https://doi.org/10.5194/egusphere-2025-6297, https://doi.org/10.5194/egusphere-2025-6297, 2026
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Soil organic matter models are often characterised by equifinality, the phenomenon that multiple parameter sets yield similar results. This study shows that the number of identifiable parameters that can be optimised together is limited, even under data-rich conditions. As a result, overparameterised models showed a large variability when simulating future changes. Optimising only identifiable model parameters is therefore necessary to avoid this hidden uncertainty in soil organic matter models.
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This preprint is open for discussion and under review for Earth Surface Dynamics (ESurf).
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The Congo River Basin, a region of global significance, is undergoing a strong increase in population, which will in turn increase soil erosion, impacting soil fertility and the carbon cycle. We examined river sediment (eroded soil) transport, whereby we provided information on the main contributors of sediment to the Congo River. We also highlighted the role of a swampy region which removes large amounts of sediment from the water, acting as a regulator sediment transport to the Congo River.
Ella Thomas, Petr Vohnicky, Marco Borga, Nadav Peleg, and Francesco Marra
EGUsphere, https://doi.org/10.5194/egusphere-2025-4741, https://doi.org/10.5194/egusphere-2025-4741, 2025
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Extreme rainfall is expected to grow in magnitude with increasing temperature. We assess whether very rare extremes increase with temperature faster than moderate extremes, and we test methods to include this effect into a model to predict future extremes called TENAX. We find that this dependence on temperature is typically observed but including it in the model without prior information on its magnitude may lead to disproportionately large uncertainty.
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Weather Clim. Dynam., 6, 1267–1281, https://doi.org/10.5194/wcd-6-1267-2025, https://doi.org/10.5194/wcd-6-1267-2025, 2025
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Understanding how projected urbanization and climate change affect typhoons, which may cause the most destructive natural catastrophes, is crucial. Based on numerical simulations of five landfalling typhoons in Shanghai, China, our results highlight that warming sea surface temperatures significantly shift typhoon tracks with intensified structures (increased size, intensity, and affected time) on the big scale. Meanwhile, urbanization further amplifies local rainfall intensity.
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We present a framework using observed rainfall and temperature to generate realistic storms and simulate street-scale flooding for present and future climates. It integrates temperature-based rainfall scaling, storm-frequency estimation, and urban flood modeling, demonstrated in Beijing to assess changes in regional storm and flood depth, timing, and flow velocity. The workflow is data-light, physically grounded, and transferable worldwide.
Judith Eeckman, Brian De Grenus, Floreana Marie Miesen, James Thornton, Philip Brunner, and Nadav Peleg
Hydrol. Earth Syst. Sci., 29, 4093–4107, https://doi.org/10.5194/hess-29-4093-2025, https://doi.org/10.5194/hess-29-4093-2025, 2025
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The fate of liquid water from melting snow in winter and spring is difficult to understand in the mountains. This work uses a multi-instrumental network to accurately monitor the dynamics of snowmelt and infiltration at different depths in the ground and at different altitudes. The results show that melting snow quickly infiltrates into the upper layers of the soil but is also quickly transferred through the soil along the slopes towards the river.
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Nat. Hazards Earth Syst. Sci., 25, 2565–2570, https://doi.org/10.5194/nhess-25-2565-2025, https://doi.org/10.5194/nhess-25-2565-2025, 2025
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Climate change is escalating the risks related to hydro-meteorological extremes. This preface introduces a special issue originating from a European Geosciences Union (EGU) session. It highlights the challenges posed by these extremes, ranging from hazard assessment to mitigation strategies, and covers both water excess events like floods, landslides, and coastal hazards and water deficit events such as droughts and fire weather. The collection aims to advance understanding, improve resilience, and inform policy-making.
Amber van Hamel, Peter Molnar, Joren Janzing, and Manuela Irene Brunner
Hydrol. Earth Syst. Sci., 29, 2975–2995, https://doi.org/10.5194/hess-29-2975-2025, https://doi.org/10.5194/hess-29-2975-2025, 2025
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Suspended sediment is a natural component of rivers, but extreme suspended sediment concentrations (SSCs) can have negative impacts on water use and aquatic ecosystems. We identify the main factors influencing the spatial and temporal variability of annual SSC regimes and extreme SSC events. Our analysis shows that different processes are more important for annual SSC regimes than for extreme events and that compound events driven by glacial melt and high-intensity rainfall led to the highest SSCs.
Antoine de Clippele, Astrid C. H. Jaeger, Simon Baumgartner, Marijn Bauters, Pascal Boeckx, Clement Botefa, Glenn Bush, Jessica Carilli, Travis W. Drake, Christian Ekamba, Gode Lompoko, Nivens Bey Mukwiele, Kristof Van Oost, Roland A. Werner, Joseph Zambo, Johan Six, and Matti Barthel
Biogeosciences, 22, 3011–3027, https://doi.org/10.5194/bg-22-3011-2025, https://doi.org/10.5194/bg-22-3011-2025, 2025
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Tropical forest soils as a large terrestrial source of carbon dioxide (CO2) contribute to the global greenhouse gas budget. Despite this, carbon flux data from forested wetlands are scarce in tropical Africa. The study presents 3 years of semi-continuous measurements of surface CO2 fluxes within the Congo Basin. Although no seasonal patterns were evident, our results show a positive effect of soil temperature and moisture, while a quadratic relationship was observed with the water table.
Claude Raoul Müller, Johan Six, Daniel Mugendi Njiru, Bernard Vanlauwe, and Marijn Van de Broek
Biogeosciences, 22, 2733–2747, https://doi.org/10.5194/bg-22-2733-2025, https://doi.org/10.5194/bg-22-2733-2025, 2025
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We studied how different organic and inorganic nutrient inputs affect soil organic carbon (SOC) down to 70 cm in Kenya. After 19 years, all organic treatments increased SOC stocks compared with the control, but mineral nitrogen had no significant effect. Manure was the organic treatment that significantly increased SOC at the deepest soil depths, as its effect could be observed down to 60 cm. Manure was the best strategy to limit SOC loss in croplands and maintain soil quality after deforestation.
Roxanne Daelman, Marijn Bauters, Matti Barthel, Emmanuel Bulonza, Lodewijk Lefevre, José Mbifo, Johan Six, Klaus Butterbach-Bahl, Benjamin Wolf, Ralf Kiese, and Pascal Boeckx
Biogeosciences, 22, 1529–1542, https://doi.org/10.5194/bg-22-1529-2025, https://doi.org/10.5194/bg-22-1529-2025, 2025
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The increase in atmospheric concentrations of several greenhouse gases (GHGs) since 1750 is attributed to human activity. However, natural ecosystems, such as tropical forests, also contribute to GHG budgets. The Congo Basin hosts the second largest tropical forest and is understudied. In this study, measurements of soil GHG exchange were carried out during 16 months in a tropical forest in the Congo Basin. Overall, the soil acted as a major source of CO2 and N2O and a minor sink of CH4.
Marijn Van de Broek, Gerard Govers, Marion Schrumpf, and Johan Six
Biogeosciences, 22, 1427–1446, https://doi.org/10.5194/bg-22-1427-2025, https://doi.org/10.5194/bg-22-1427-2025, 2025
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Soil organic carbon models are used to predict how soils affect the concentration of CO2 in the atmosphere. We show that equifinality – the phenomenon that different parameter values lead to correct overall model outputs, albeit with a different model behaviour – is an important source of model uncertainty. Our results imply that adding more complexity to soil organic carbon models is unlikely to lead to better predictions as long as more data to constrain model parameters are not available.
Tabea Cache, Milton Salvador Gomez, Tom Beucler, Jovan Blagojevic, João Paulo Leitao, and Nadav Peleg
Hydrol. Earth Syst. Sci., 28, 5443–5458, https://doi.org/10.5194/hess-28-5443-2024, https://doi.org/10.5194/hess-28-5443-2024, 2024
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We introduce a new deep-learning model that addresses the limitations of existing urban flood models in handling varied terrains and rainfall events. Our model subdivides a city into small patches and presents a novel approach to incorporate broader terrain information. It accurately predicts high-resolution flood maps across diverse rainfall events and cities (on minute and meter scales) that haven’t been seen by the model, which offers valuable insights for urban flood mitigation strategies.
Vira Leng, Rémi Cardinael, Florent Tivet, Vang Seng, Phearum Mark, Pascal Lienhard, Titouan Filloux, Johan Six, Lyda Hok, Stéphane Boulakia, Clever Briedis, João Carlos de Moraes Sá, and Laurent Thuriès
SOIL, 10, 699–725, https://doi.org/10.5194/soil-10-699-2024, https://doi.org/10.5194/soil-10-699-2024, 2024
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We assessed the long-term impacts of no-till cropping systems on soil organic carbon and nitrogen dynamics down to 1 m depth under the annual upland crop productions (cassava, maize, and soybean) in the tropical climate of Cambodia. We showed that no-till systems combined with rotations and cover crops could store large amounts of carbon in the top and subsoil in both the mineral organic matter and particulate organic matter fractions. We also question nitrogen management in these systems.
Moritz Laub, Magdalena Necpalova, Marijn Van de Broek, Marc Corbeels, Samuel Mathu Ndungu, Monicah Wanjiku Mucheru-Muna, Daniel Mugendi, Rebecca Yegon, Wycliffe Waswa, Bernard Vanlauwe, and Johan Six
Biogeosciences, 21, 3691–3716, https://doi.org/10.5194/bg-21-3691-2024, https://doi.org/10.5194/bg-21-3691-2024, 2024
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We used the DayCent model to assess the potential impact of integrated soil fertility management (ISFM) on maize production, soil fertility, and greenhouse gas emission in Kenya. After adjustments, DayCent represented measured mean yields and soil carbon stock changes well and N2O emissions acceptably. Our results showed that soil fertility losses could be reduced but not completely eliminated with ISFM and that, while N2O emissions increased with ISFM, emissions per kilogram yield decreased.
Claude Raoul Müller, Johan Six, Liesa Brosens, Philipp Baumann, Jean Paolo Gomes Minella, Gerard Govers, and Marijn Van de Broek
SOIL, 10, 349–365, https://doi.org/10.5194/soil-10-349-2024, https://doi.org/10.5194/soil-10-349-2024, 2024
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Subsoils in the tropics are not as extensively studied as those in temperate regions. In this study, the conversion of forest to agriculture in a subtropical region affected the concentration of stabilized organic carbon (OC) down to 90 cm depth, while no significant differences between 90 cm and 300 cm were detected. Our results suggest that subsoils below 90 cm are unlikely to accumulate additional stabilized OC through reforestation over decadal periods due to declining OC input with depth.
Johan Six, Sebastian Doetterl, Moritz Laub, Claude R. Müller, and Marijn Van de Broek
SOIL, 10, 275–279, https://doi.org/10.5194/soil-10-275-2024, https://doi.org/10.5194/soil-10-275-2024, 2024
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Soil C saturation has been tested in several recent studies and led to a debate about its existence. We argue that, to test C saturation, one should pay attention to six fundamental principles: the right measures, the right units, the right dispersive energy and application, the right soil type, the right clay type, and the right saturation level. Once we take care of those six rights across studies, we find support for a maximum of C stabilized by minerals and thus soil C saturation.
Armwell Shumba, Regis Chikowo, Christian Thierfelder, Marc Corbeels, Johan Six, and Rémi Cardinael
SOIL, 10, 151–165, https://doi.org/10.5194/soil-10-151-2024, https://doi.org/10.5194/soil-10-151-2024, 2024
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Conservation agriculture (CA), combining reduced or no tillage, permanent soil cover, and improved rotations, is often promoted as a climate-smart practice. However, our knowledge of the impact of CA on top- and subsoil soil organic carbon (SOC) stocks in the low-input cropping systems of sub-Saharan Africa is rather limited. Using two long-term experimental sites with different soil types, we found that mulch could increase top SOC stocks, but no tillage alone had a slightly negative impact.
Moritz Laub, Sergey Blagodatsky, Marijn Van de Broek, Samuel Schlichenmaier, Benjapon Kunlanit, Johan Six, Patma Vityakon, and Georg Cadisch
Geosci. Model Dev., 17, 931–956, https://doi.org/10.5194/gmd-17-931-2024, https://doi.org/10.5194/gmd-17-931-2024, 2024
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To manage soil organic matter (SOM) sustainably, we need a better understanding of the role that soil microbes play in aggregate protection. Here, we propose the SAMM model, which connects soil aggregate formation to microbial growth. We tested it against data from a tropical long-term experiment and show that SAMM effectively represents the microbial growth, SOM, and aggregate dynamics and that it can be used to explore the importance of aggregate formation in SOM stabilization.
Francesco Marra, Marika Koukoula, Antonio Canale, and Nadav Peleg
Hydrol. Earth Syst. Sci., 28, 375–389, https://doi.org/10.5194/hess-28-375-2024, https://doi.org/10.5194/hess-28-375-2024, 2024
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We present a new physical-based method for estimating extreme sub-hourly precipitation return levels (i.e., intensity–duration–frequency, IDF, curves), which are critical for the estimation of future floods. The proposed model, named TENAX, incorporates temperature as a covariate in a physically consistent manner. It has only a few parameters and can be easily set for any climate station given sub-hourly precipitation and temperature data are available.
Jessica Droujko, Srividya Hariharan Sudha, Gabriel Singer, and Peter Molnar
Earth Surf. Dynam., 11, 881–897, https://doi.org/10.5194/esurf-11-881-2023, https://doi.org/10.5194/esurf-11-881-2023, 2023
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We combined data from satellite images with data measured from a kayak in order to understand the propagation of fine sediment in the Vjosa River. We were able to find some storm-activated and some permanent sources of sediment. We also estimated how much fine sediment is carried into the Adriatic Sea by the Vjosa River: approximately 2.5 Mt per year, which matches previous findings. With our work, we hope to show the potential of open-access satellite images.
Moritz Laub, Marc Corbeels, Antoine Couëdel, Samuel Mathu Ndungu, Monicah Wanjiku Mucheru-Muna, Daniel Mugendi, Magdalena Necpalova, Wycliffe Waswa, Marijn Van de Broek, Bernard Vanlauwe, and Johan Six
SOIL, 9, 301–323, https://doi.org/10.5194/soil-9-301-2023, https://doi.org/10.5194/soil-9-301-2023, 2023
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In sub-Saharan Africa, long-term low-input maize cropping threatens soil fertility. We studied how different quality organic inputs combined with mineral N fertilizer could counteract this. Farmyard manure was the best input to counteract soil carbon loss; mineral N fertilizer had no effect on carbon. Yet, the rates needed to offset soil carbon losses are unrealistic for farmers (>10 t of dry matter per hectare and year). Additional agronomic measures may be needed.
Tobias Siegfried, Aziz Ul Haq Mujahid, Beatrice Sabine Marti, Peter Molnar, Dirk Nikolaus Karger, and Andrey Yakovlev
EGUsphere, https://doi.org/10.5194/egusphere-2023-520, https://doi.org/10.5194/egusphere-2023-520, 2023
Preprint archived
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Our study investigates climate change impacts on water resources in Central Asia's high-mountain regions. Using new data and a stochastic soil moisture model, we found increased precipitation and higher temperatures in the future, leading to higher water discharge despite decreasing glacier melt contributions. These findings are crucial for understanding and preparing for climate change effects on Central Asia's water resources, with further research needed on extreme weather event impacts.
Nadav Peleg, Herminia Torelló-Sentelles, Grégoire Mariéthoz, Lionel Benoit, João P. Leitão, and Francesco Marra
Nat. Hazards Earth Syst. Sci., 23, 1233–1240, https://doi.org/10.5194/nhess-23-1233-2023, https://doi.org/10.5194/nhess-23-1233-2023, 2023
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Floods in urban areas are one of the most common natural hazards. Due to climate change enhancing extreme rainfall and cities becoming larger and denser, the impacts of these events are expected to increase. A fast and reliable flood warning system should thus be implemented in flood-prone cities to warn the public of upcoming floods. The purpose of this brief communication is to discuss the potential implementation of low-cost acoustic rainfall sensors in short-term flood warning systems.
Kristof Van Oost and Johan Six
Biogeosciences, 20, 635–646, https://doi.org/10.5194/bg-20-635-2023, https://doi.org/10.5194/bg-20-635-2023, 2023
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The direction and magnitude of the net erosion-induced land–atmosphere C exchange have been the topic of a big scientific debate for more than a decade now. Many have assumed that erosion leads to a loss of soil carbon to the atmosphere, whereas others have shown that erosion ultimately leads to a carbon sink. Here, we show that the soil carbon erosion source–sink paradox is reconciled when the broad range of temporal and spatial scales at which the underlying processes operate are considered.
Qinggang Gao, Christian Zeman, Jesus Vergara-Temprado, Daniela C. A. Lima, Peter Molnar, and Christoph Schär
Weather Clim. Dynam., 4, 189–211, https://doi.org/10.5194/wcd-4-189-2023, https://doi.org/10.5194/wcd-4-189-2023, 2023
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We developed a vortex identification algorithm for realistic atmospheric simulations. The algorithm enabled us to obtain a climatology of vortex shedding from Madeira Island for a 10-year simulation period. This first objective climatological analysis of vortex streets shows consistency with observed atmospheric conditions. The analysis shows a pronounced annual cycle with an increasing vortex shedding rate from April to August and a sudden decrease in September.
Fabian Walter, Elias Hodel, Erik S. Mannerfelt, Kristen Cook, Michael Dietze, Livia Estermann, Michaela Wenner, Daniel Farinotti, Martin Fengler, Lukas Hammerschmidt, Flavia Hänsli, Jacob Hirschberg, Brian McArdell, and Peter Molnar
Nat. Hazards Earth Syst. Sci., 22, 4011–4018, https://doi.org/10.5194/nhess-22-4011-2022, https://doi.org/10.5194/nhess-22-4011-2022, 2022
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Debris flows are dangerous sediment–water mixtures in steep terrain. Their formation takes place in poorly accessible terrain where instrumentation cannot be installed. Here we propose to monitor such source terrain with an autonomous drone for mapping sediments which were left behind by debris flows or may contribute to future events. Short flight intervals elucidate changes of such sediments, providing important information for landscape evolution and the likelihood of future debris flows.
Charlotte Decock, Juhwan Lee, Matti Barthel, Elizabeth Verhoeven, Franz Conen, and Johan Six
Biogeosciences Discuss., https://doi.org/10.5194/bg-2022-221, https://doi.org/10.5194/bg-2022-221, 2022
Preprint withdrawn
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One of the least well understood processes in the nitrogen (N) cycle is the loss of nitrogen gas (N2), referred to as total denitrification. This is mainly due to the difficulty of quantifying total denitrification in situ. In this study, we developed and tested a novel modeling approach to estimate total denitrification over the depth profile, based on concentrations and isotope values of N2O. Our method will help close N budgets and identify management strategies that reduce N pollution.
Michael Schirmer, Adam Winstral, Tobias Jonas, Paolo Burlando, and Nadav Peleg
The Cryosphere, 16, 3469–3488, https://doi.org/10.5194/tc-16-3469-2022, https://doi.org/10.5194/tc-16-3469-2022, 2022
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Rain is highly variable in time at a given location so that there can be both wet and dry climate periods. In this study, we quantify the effects of this natural climate variability and other sources of uncertainty on changes in flooding events due to rain on snow (ROS) caused by climate change. For ROS events with a significant contribution of snowmelt to runoff, the change due to climate was too small to draw firm conclusions about whether there are more ROS events of this important type.
Silvan Ragettli, Tabea Donauer, Peter Molnar, Ron Delnoije, and Tobias Siegfried
Earth Surf. Dynam., 10, 797–815, https://doi.org/10.5194/esurf-10-797-2022, https://doi.org/10.5194/esurf-10-797-2022, 2022
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This paper presents a novel methodology to identify and quantitatively analyze deposition and erosion patterns in ephemeral ponds or in perennial lakes with strong water level fluctuations. We apply this method to unravel the water and sediment balance of Lac Wégnia, a designated Ramsar site in Mali. The study can be a showcase for monitoring Sahelian lakes using remote sensing data, as it sheds light on the actual drivers of change in Sahelian lakes.
Tegawende Léa Jeanne Ilboudo, Lucien NGuessan Diby, Delwendé Innocent Kiba, Tor Gunnar Vågen, Leigh Ann Winowiecki, Hassan Bismarck Nacro, Johan Six, and Emmanuel Frossard
EGUsphere, https://doi.org/10.5194/egusphere-2022-209, https://doi.org/10.5194/egusphere-2022-209, 2022
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Our results showed that at landscape level SOC stock variability was mainly explained by clay content. We found significant linear positive relationships between VC and SOC stocks for the land uses annual croplands, perennial croplands, grasslands and bushlands without soil depth restrictions until 110 cm. We concluded that in the forest-savanna transition zone, soil properties and topography determine land use, which in turn affects the stocks of SOC and TN and to some extent the VC stocks.
Elena Leonarduzzi, Brian W. McArdell, and Peter Molnar
Hydrol. Earth Syst. Sci., 25, 5937–5950, https://doi.org/10.5194/hess-25-5937-2021, https://doi.org/10.5194/hess-25-5937-2021, 2021
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Landslides are a dangerous natural hazard affecting alpine regions, calling for effective warning systems. Here we consider different approaches for the prediction of rainfall-induced shallow landslides at the regional scale, based on open-access datasets and operational hydrological forecasting systems. We find antecedent wetness useful to improve upon the classical rainfall thresholds and the resolution of the hydrological model used for its estimate to be a critical aspect.
Philipp Baumann, Juhwan Lee, Emmanuel Frossard, Laurie Paule Schönholzer, Lucien Diby, Valérie Kouamé Hgaza, Delwende Innocent Kiba, Andrew Sila, Keith Sheperd, and Johan Six
SOIL, 7, 717–731, https://doi.org/10.5194/soil-7-717-2021, https://doi.org/10.5194/soil-7-717-2021, 2021
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This work delivers openly accessible and validated calibrations for diagnosing 26 soil properties based on mid-infrared spectroscopy. These were developed for four regions in Burkina Faso and Côte d'Ivoire, including 80 fields of smallholder farmers. The models can help to site-specifically and cost-efficiently monitor soil quality and fertility constraints to ameliorate soils and yields of yam or other staple crops in the four regions between the humid forest and the northern Guinean savanna.
Laura Summerauer, Philipp Baumann, Leonardo Ramirez-Lopez, Matti Barthel, Marijn Bauters, Benjamin Bukombe, Mario Reichenbach, Pascal Boeckx, Elizabeth Kearsley, Kristof Van Oost, Bernard Vanlauwe, Dieudonné Chiragaga, Aimé Bisimwa Heri-Kazi, Pieter Moonen, Andrew Sila, Keith Shepherd, Basile Bazirake Mujinya, Eric Van Ranst, Geert Baert, Sebastian Doetterl, and Johan Six
SOIL, 7, 693–715, https://doi.org/10.5194/soil-7-693-2021, https://doi.org/10.5194/soil-7-693-2021, 2021
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We present a soil mid-infrared library with over 1800 samples from central Africa in order to facilitate soil analyses of this highly understudied yet critical area. Together with an existing continental library, we demonstrate a regional analysis and geographical extrapolation to predict total carbon and nitrogen. Our results show accurate predictions and highlight the value that the data contribute to existing libraries. Our library is openly available for public use and for expansion.
Jacob Hirschberg, Alexandre Badoux, Brian W. McArdell, Elena Leonarduzzi, and Peter Molnar
Nat. Hazards Earth Syst. Sci., 21, 2773–2789, https://doi.org/10.5194/nhess-21-2773-2021, https://doi.org/10.5194/nhess-21-2773-2021, 2021
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Debris-flow prediction is often based on rainfall thresholds, but uncertainty assessments are rare. We established rainfall thresholds using two approaches and find that 25 debris flows are needed for uncertainties to converge in an Alpine basin and that the suitable method differs for regional compared to local thresholds. Finally, we demonstrate the potential of a statistical learning algorithm to improve threshold performance. These findings are helpful for early warning system development.
Sebastian Doetterl, Rodrigue K. Asifiwe, Geert Baert, Fernando Bamba, Marijn Bauters, Pascal Boeckx, Benjamin Bukombe, Georg Cadisch, Matthew Cooper, Landry N. Cizungu, Alison Hoyt, Clovis Kabaseke, Karsten Kalbitz, Laurent Kidinda, Annina Maier, Moritz Mainka, Julia Mayrock, Daniel Muhindo, Basile B. Mujinya, Serge M. Mukotanyi, Leon Nabahungu, Mario Reichenbach, Boris Rewald, Johan Six, Anna Stegmann, Laura Summerauer, Robin Unseld, Bernard Vanlauwe, Kristof Van Oost, Kris Verheyen, Cordula Vogel, Florian Wilken, and Peter Fiener
Earth Syst. Sci. Data, 13, 4133–4153, https://doi.org/10.5194/essd-13-4133-2021, https://doi.org/10.5194/essd-13-4133-2021, 2021
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The African Tropics are hotspots of modern-day land use change and are of great relevance for the global carbon cycle. Here, we present data collected as part of the DFG-funded project TropSOC along topographic, land use, and geochemical gradients in the eastern Congo Basin and the Albertine Rift. Our database contains spatial and temporal data on soil, vegetation, environmental properties, and land management collected from 136 pristine tropical forest and cropland plots between 2017 and 2020.
Philipp Baumann, Anatol Helfenstein, Andreas Gubler, Armin Keller, Reto Giulio Meuli, Daniel Wächter, Juhwan Lee, Raphael Viscarra Rossel, and Johan Six
SOIL, 7, 525–546, https://doi.org/10.5194/soil-7-525-2021, https://doi.org/10.5194/soil-7-525-2021, 2021
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We developed the Swiss mid-infrared spectral library and a statistical model collection across 4374 soil samples with reference measurements of 16 properties. Our library incorporates soil from 1094 grid locations and 71 long-term monitoring sites. This work confirms once again that nationwide spectral libraries with diverse soils can reliably feed information to a fast chemical diagnosis. Our data-driven reduction of the library has the potential to accurately monitor carbon at the plot scale.
Mario Reichenbach, Peter Fiener, Gina Garland, Marco Griepentrog, Johan Six, and Sebastian Doetterl
SOIL, 7, 453–475, https://doi.org/10.5194/soil-7-453-2021, https://doi.org/10.5194/soil-7-453-2021, 2021
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In deeply weathered tropical rainforest soils of Africa, we found that patterns of soil organic carbon stocks differ between soils developed from geochemically contrasting parent material due to differences in the abundance of organo-mineral complexes, the presence/absence of chemical stabilization mechanisms of carbon with minerals and the presence of fossil organic carbon from sedimentary rocks. Physical stabilization mechanisms by aggregation provide additional protection of soil carbon.
Sophie F. von Fromm, Alison M. Hoyt, Markus Lange, Gifty E. Acquah, Ermias Aynekulu, Asmeret Asefaw Berhe, Stephan M. Haefele, Steve P. McGrath, Keith D. Shepherd, Andrew M. Sila, Johan Six, Erick K. Towett, Susan E. Trumbore, Tor-G. Vågen, Elvis Weullow, Leigh A. Winowiecki, and Sebastian Doetterl
SOIL, 7, 305–332, https://doi.org/10.5194/soil-7-305-2021, https://doi.org/10.5194/soil-7-305-2021, 2021
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We investigated various soil and climate properties that influence soil organic carbon (SOC) concentrations in sub-Saharan Africa. Our findings indicate that climate and geochemistry are equally important for explaining SOC variations. The key SOC-controlling factors are broadly similar to those for temperate regions, despite differences in soil development history between the two regions.
Cited articles
Abate, B. Z., Alaminie, A. A., Assefa, T. T., Tigabu, T. B., and He, L.: Modeling climate change impacts on blue and green water of the Kobo-Golina River in data-scarce upper Danakil basin, Ethiopia, J. Hydrol. Reg. Stud., 53, 101756, https://doi.org/10.1016/j.ejrh.2024.101756, 2024.
Abatzoglou, J. T., Dobrowski, S. Z., Parks, S. A., and Hegewisch, K. C.: Data Descriptor: TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015, Scientific Data, 5, 170191, https://doi.org/10.1038/sdata.2017.191, 2017.
Abera, K., Crespo, O., Seid, J., and Mequanent, F.: Simulating the impact of climate change on maize production in Ethiopia, East Africa, Environ. Syst. Res., 7, 4, https://doi.org/10.1186/s40068-018-0107-z, 2018.
Adam, M., Van Bussel, L. G. J., Leffelaar, P. A., Van Keulen, H., and Ewert, F.: Effects of modelling detail on simulated potential crop yields under a wide range of climatic conditions, Ecol. Model., 222, 131–143, https://doi.org/10.1016/j.ecolmodel.2010.09.001, 2011.
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop Evapotranspiration, Irrigation and Drainage Paper No. 56, Food and Agriculture Organization, FAO, Rome, 326 pp., ISBN 92-5-104219-5, https://www.fao.org/4/x0490e/x0490e00.htm (last access: 8 November 2023), 1998.
Anandhi, A., Frei, A., Pierson, D. C., Schneiderman, E. M., Zion, M. S., Lounsbury, D., and Matonse, A. H.: Examination of change factor methodologies for climate change impact assessment, Water Resour. Res., 47, W03501, https://doi.org/10.1029/2010WR009104, 2011.
Araya, A., Stroosnijder, L., Girmay, G., and Keesstra, S. D.: Crop coefficient, yield response to water stress and water productivity of teff (Eragrostis tef (Zucc.)), Agr. Water Manage., 98, 775–783, https://doi.org/10.1016/j.agwat.2010.12.001, 2011.
Araya, A., Girma, A., and Getachew, F.: Exploring Impacts of Climate Change on Maize Yield in Two Contrasting Agro-Ecologies of Ethiopia, Asian J. Appl. Sci. Eng., 4, 27–37, 2015.
Assaye, H., Nyssen, J., Poesen, J., Lemma, H., Meshesha, D. T., Wassie, A., Adgo, E., and Frankl, A.: Curve number calibration for measuring impacts of land management in sub-humid Ethiopia, J. Hydrol. Reg. Stud., 35, 100819, https://doi.org/10.1016/j.ejrh.2021.100819, 2021.
Asseng, S., Ewert, F., Martre, P., Rötter, R. P., Lobell, D. B., Cammarano, D., Kimball, B. A., Ottman, M. J., Wall, G. W., White, J. W., Reynolds, M. P., Alderman, P. D., Prasad, P. V. V., Aggarwal, P. K., Anothai, J., Basso, B., Biernath, C., Challinor, A. J., De Sanctis, G., Doltra, J., Fereres, E., Garcia-Vila, M., Gayler, S., Hoogenboom, G., Hunt, L. A., Izaurralde, R. C., Jabloun, M., Jones, C. D., Kersebaum, K. C., Koehler, A. K., Müller, C., Naresh Kumar, S., Nendel, C., O'leary, G., Olesen, J. E., Palosuo, T., Priesack, E., Eyshi Rezaei, E., Ruane, A. C., Semenov, M. A., Shcherbak, I., Stöckle, C., Stratonovitch, P., Streck, T., Supit, I., Tao, F., Thorburn, P. J., Waha, K., Wang, E., Wallach, D., Wolf, J., Zhao, Z., and Zhu, Y.: Rising temperatures reduce global wheat production, Nat. Clim. Change, 5, 143–147, https://doi.org/10.1038/nclimate2470, 2015.
Becker, R., Schüth, C., Merz, R., Khaliq, T., Usman, M., aus der Beek, T., Kumar, R., and Schulz, S.: Increased heat stress reduces future yields of three major crops in Pakistan's Punjab region despite intensification of irrigation, Agr. Water Manage., 281, 108243, https://doi.org/10.1016/j.agwat.2023.108243, 2023.
Bieger, K., Arnold, J. G., Rathjens, H., White, M. J., Bosch, D. D., Allen, P. M., Volk, M., and Srinivasan, R.: Introduction to SWAT+, A Completely Restructured Version of the Soil and Water Assessment Tool, J. Am. Water Resour. As., 53, 115–130, https://doi.org/10.1111/1752-1688.12482, 2017.
Borgomeo, E., Khan, H. F., Heino, M., Zaveri, E., Kummu, M., Brown, C., and Jägerskog, A.: Impact of green water anomalies on global rainfed crop yields, Environ. Res. Lett., 15, 124030, https://doi.org/10.1088/1748-9326/abc587, 2020.
Buchhorn, M., Smets, B., Bertels, L., De Roo, B., Lesiv, M., Tsendbazar, N.-E., Li, L., and Tarko, A.: Copernicus Global Land Operations ”Vegetation and Energy” “CGLOPS-1,” Copernicus Glob. L. Oper., 1–93, https://doi.org/10.5281/zenodo.3938963, 2020.
Budyko, M. I.: Climate and life, Academic Press, New York, 508 pp., ISBN 0121394506, 1974.
Burke, M. B., Lobell, D. B., and Guarino, L.: Shifts in African crop climates by 2050, and the implications for crop improvement and genetic resources conservation, Global Environ. Chang., 19, 317–325, https://doi.org/10.1016/j.gloenvcha.2009.04.003, 2009.
Čerkasova, N., White, M., Arnold, J., Bieger, K., Allen, P., Gao, J., Gambone, M., Meki, M., Kiniry, J., and Gassman, P. W.: Field scale SWAT+ modeling of corn and soybean yields for the contiguous United States: National Agroecosystem Model Development, Agr. Syst., 210, 103695, https://doi.org/10.1016/j.agsy.2023.103695, 2023.
Chiarelli, D. D., Passera, C., Rosa, L., Davis, K. F., D'Odorico, P., and Rulli, M. C.: The green and blue crop water requirement WATNEEDS model and its global gridded outputs, Sci. Data, 7, 1–9, https://doi.org/10.1038/s41597-020-00612-0, 2020.
Conway, D. and Vincent, K.: Conversations About Climate Risk, Adaptation and Resilience in Africa, Springer Nature, 147–162, https://doi.org/10.1007/978-3-030-61160-6_9, 2021.
CSA: Summary and statistical report of the 2007 population and housing census, Addis Ababa, Central Statistical Agency of Ethiopia, 113 pp., https://www.ethiopianreview.com/pdf/001/Cen2007_firstdraft(1).pdf (last access: 21 November 2023), 2007.
CSA: Agricultural Sample Survey 2010–2011 (2003 E.C), (last access: 10 October 2023), 2010.
Degife, A. W., Zabel, F., and Mauser, W.: Climate change impacts on potential maize yields in Gambella Region, Ethiopia, Reg. Environ. Change, 21, 60, https://doi.org/10.1007/s10113-021-01773-3, 2021.
Doorenbos, J. and Kassam, A. H.: Paper 33. Yield Response to water, FAO Irrigation and Drainage Paper, Food and Agriculture Organization, FAO, 203 pp., ISBN: 92-5-100744-6, 1979.
Dorigo, W., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, P. D., Hirschi, M., Ikonen, J., de Jeu, R., Kidd, R., Lahoz, W., Liu, Y. Y., Miralles, D., Mistelbauer, T., Nicolai-Shaw, N., Parinussa, R., Pratola, C., Reimer, C., van der Schalie, R., Seneviratne, S. I., Smolander, T., and Lecomte, P.: ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions, Remote Sens. Environ., 203, 185–215, https://doi.org/10.1016/j.rse.2017.07.001, 2017.
Falkenmark, M. and Rockström, J.: The New Blue and Green Water Paradigm: Breaking New Ground for Water Resources Planning and Management, J. Water Res. Pl., 132, 129–132, 2006.
Fan, J., McConkey, B., Wang, H., and Janzen, H.: Root distribution by depth for temperate agricultural crops, Field Crop. Res., 189, 68–74, https://doi.org/10.1016/j.fcr.2016.02.013, 2016.
FAO: Crops and climate change impact briefs. Climate-smart agriculture for more sustainable, resilient, and equitable food systems, Food and Agriculture Organization, FAO, Rome, 202 pp., https://doi.org/10.4060/cb8030en, 2022.
FDRE: Ethiopia's Climate Resilient Green Economy: National Adaptation Plan, Addis Ababa, Ethiopia, Federal Democratic Republic of Ethiopia, 86 pp., https://unfccc.int/sites/default/files/resource/NAP_Ethiopia_2019.pdf (last access: 21 November 2023), 2019.
Fischer, G., Nachtergaele, F., van Velthuizen, H., Chiozza, F., Franceschini, G., Hnery, M., Muchoney, D., and Tramberend, S.: Global agro-ecological zone V4 – Model documentation, https://doi.org/10.4060/cb4744en, 2021.
Foster, T. and Brozović, N.: Simulating Crop-Water Production Functions Using Crop Growth Models to Support Water Policy Assessments, Ecol. Econ., 152, 9–21, https://doi.org/10.1016/j.ecolecon.2018.05.019, 2018.
Funk, C., Peterson, P., Landsfeld, M., Pedreros, D., Verdin, J., Shukla, S., Husak, G., Rowland, J., Harrison, L., Hoell, A., and Michaelsen, J.: The climate hazards infrared precipitation with stations – A new environmental record for monitoring extremes, Nat. Sci. Data, 2, 150066, https://doi.org/10.1038/sdata.2015.66, 2015.
Geerts, S. and Raes, D.: Deficit irrigation as an on-farm strategy to maximize crop water productivity in dry areas, Agr. Water Manage., 96, 1275–1284, https://doi.org/10.1016/j.agwat.2009.04.009, 2009.
Grossi, A. and Dinku, T.: From research to practice: Adapting agriculture to climate today for tomorrow in Ethiopia, Front. Clim., 4, 931514, https://doi.org/10.3389/fclim.2022.931514, 2022.
GYGA: Global Yield Gap and Water Productivity Atlas, https://www.yieldgap.org, last access: 13 August 2024.
Hadgu, G., Tesfaye, K., and Mamo, G.: Analysis of climate change in Northern Ethiopia: implications for agricultural production, Theor. Appl. Climatol., 121, 733–747, https://doi.org/10.1007/s00704-014-1261-5, 2015.
Hamby, D.: A review of techniques for parameter sensitivity analysis of environmental models, Environ. Monit. Assess., 32, 135–154, https://doi.org/10.1007/BF00547132, 1994.
Hartmann, M. and Six, J.: Soil structure and microbiome functions in agroecosystems, Nat. Rev. Earth Environ., 4, 4–18, https://doi.org/10.1038/s43017-022-00366-w, 2023.
Hatfield, J. L. and Dold, C.: Water-use efficiency: Advances and challenges in a changing climate, Front. Plant Sci., 10, 1–14, https://doi.org/10.3389/fpls.2019.00103, 2019.
Hawkins, R. H., Moglen, G. E., Ward, T. J., and Woodward, D. E.: Updating the Curve Number: Task Group Report, in: Watershed Management 2020, ASCE (American Society of Civil Engineers), https://ascelibrary.org/doi/10.1061/9780784483060.012 (last access: 14 October 2023), 2020.
He, J., Ma, B., and Tian, J.: Water production function and optimal irrigation schedule for rice (Oryza sativa L.) cultivation with drip irrigation under plastic film-mulched, Sci. Rep.-UK, 12, 1–12, https://doi.org/10.1038/s41598-022-20652-3, 2022.
Holzworth, D. P., Huth, N. I., deVoil, P. G., Zurcher, E. J., Herrmann, N. I., McLean, G., Chenu, K., van Oosterom, E. J., Snow, V., Murphy, C., Moore, A. D., Brown, H., Whish, J. P. M., Verrall, S., Fainges, J., Bell, L. W., Peake, A. S., Poulton, P. L., Hochman, Z., Thorburn, P. J., Gaydon, D. S., Dalgliesh, N. P., Rodriguez, D., Cox, H., Chapman, S., Doherty, A., Teixeira, E., Sharp, J., Cichota, R., Vogeler, I., Li, F. Y., Wang, E., Hammer, G. L., Robertson, M. J., Dimes, J. P., Whitbread, A. M., Hunt, J., van Rees, H., McClelland, T., Carberry, P. S., Hargreaves, J. N. G., MacLeod, N., McDonald, C., Harsdorf, J., Wedgwood, S., and Keating, B. A.: APSIM – Evolution towards a new generation of agricultural systems simulation, Environ. Modell. Softw., 62, 327–350, https://doi.org/10.1016/j.envsoft.2014.07.009, 2014.
Hoogeveen, J., Faurès, J.-M., Peiser, L., Burke, J., and van de Giesen, N.: GlobWat – a global water balance model to assess water use in irrigated agriculture, Hydrol. Earth Syst. Sci., 19, 3829–3844, https://doi.org/10.5194/hess-19-3829-2015, 2015.
Hsiao, T. C., Heng, L., Steduto, P., Rojas-Lara, B., Raes, D., and Fereres, E.: Aquacrop-The FAO crop model to simulate yield response to water: III. Parameterization and testing for maize, Agron. J., 101, 448–459, https://doi.org/10.2134/agronj2008.0218s, 2009.
Hurni, H.: Soil and Water Conservation in Ethiopia: Guidlines for Development Agents, Bern Open Publishing (BOP), 117–123, https://doi.org/10.7892/boris.80013, 2016.
IFPRI and CSA: Atlas of the Ethiopian Rural Economy, International Food Policy Research Institute, Washinton DC, https://doi.org/10.2499/0896291545, 2006.
Jägermeyr, J., Müller, C., Ruane, A. C., Elliott, J., Balkovic, J., Castillo, O., Faye, B., Foster, I., Folberth, C., Franke, J. A., Fuchs, K., Guarin, J. R., Heinke, J., Hoogenboom, G., Iizumi, T., Jain, A. K., Kelly, D., Khabarov, N., Lange, S., Lin, T. S., Liu, W., Mialyk, O., Minoli, S., Moyer, E. J., Okada, M., Phillips, M., Porter, C., Rabin, S. S., Scheer, C., Schneider, J. M., Schyns, J. F., Skalsky, R., Smerald, A., Stella, T., Stephens, H., Webber, H., Zabel, F., and Rosenzweig, C.: Climate impacts on global agriculture emerge earlier in new generation of climate and crop models, Nat. Food, 2, 873–885, https://doi.org/10.1038/s43016-021-00400-y, 2021.
Jimma, T. B., Demissie, T., Diro, G. T., Ture, K., Terefe, T., and Solomon, D.: Spatiotemporal variability of soil moisture over Ethiopia and its teleconnections with remote and local drivers, Theor. Appl. Climatol., 151, 1911–1929, https://doi.org/10.1007/s00704-022-04335-7, 2023.
Jones, J. W., Hoogenboom, G., Porter, C. H., Boote, K. J., Batchelor, W. D., Hunt, L. A., Wilkens, P. W., Singh, U., Gijsman, A. J., and Ritchie, J. T.: The DSSAT cropping system model, Eur. J. Agron., 235–265, https://doi.org/10.1016/S1161-0301(02)00107-7, 2003.
Kang, Y., Khan, S., and Ma, X.: Climate change impacts on crop yield, crop water productivity and food security – A review, Prog. Nat. Sci., 19, 1665–1674, https://doi.org/10.1016/j.pnsc.2009.08.001, 2009.
Kassawmar, T., Zeleke, G., Bantider, A., Gessesse, G. D., and Abraha, L.: A synoptic land change assessment of Ethiopia's Rainfed Agricultural Area for evidence-based agricultural ecosystem management, Heliyon, 4, e00914, https://doi.org/10.1016/j.heliyon.2018.e00914, 2018.
Kassaye, A. Y., Shao, G., Wang, X., Shifaw, E., and Wu, S.: Impact of climate change on the staple food crops yield in Ethiopia: implications for food security, Theor. Appl. Climatol., 145, 327–343, https://doi.org/10.1007/s00704-021-03635-8, 2021.
Kassie, B. T., Rötter, R. P., Hengsdijk, H., Asseng, S., Van Ittersum, M. K., Kahiluoto, H., and Van Keulen, H.: Climate variability and change in the Central Rift Valley of Ethiopia: Challenges for rainfed crop production, J. Agr. Sci., 152, 58–74, https://doi.org/10.1017/S0021859612000986, 2014.
Kukal, M. S. and Irmak, S.: Climate-Driven Crop Yield and Yield Variability and Climate Change Impacts on the U. S. Great Plains Agricultural Production, Nat. Sci. Rep., 8, 1–18, https://doi.org/10.1038/s41598-018-21848-2, 2018.
Kummu, M., Heino, M., Taka, M., Varis, O., and Viviroli, D.: Climate change risks pushing one-third of global food production outside the safe climatic space, One Earth, 4, 720–729, https://doi.org/10.1016/j.oneear.2021.04.017, 2021.
Laderach, P., Ramirez-Villegas, J., Prager, S. D., Osorio, D., Krendelsberger, A., Zougmore, R. B., Charbonneau, B., van Dijk, H., Madurga-Lopez, I., and Pacillo, G.: The importance of food systems in a climate crisis for peace and security in the Sahel, Int. Rev. Red Cross, 103, 995–1028, https://doi.org/10.1017/S1816383122000170, 2021.
Lala, J., Yang, M., Wang, G., and Block, P.: Utilizing rainy season onset predictions to enhance maize yields in Ethiopia, Environ. Res. Lett., 16, 054035, https://doi.org/10.1088/1748-9326/abf9c9, 2021.
Li, K., Pan, J., Xiong, W., Xie, W., and Ali, T.: The impact of 1.5 °C and 2.0 °C global warming on global maize production and trade, Sci. Rep.-UK, 12, 17268, https://doi.org/10.1038/s41598-022-22228-7, 2022.
Liu, X., Liu, W., Tang, Q., Liu, B., Wada, Y., and Yang, H.: Global Agricultural Water Scarcity Assessment Incorporating Blue and Green Water Availability Under Future Climate Change, Earth's Future, 10, e2021EF002567, https://doi.org/10.1029/2021EF002567, 2022.
Lobell, D. B., Cassman, K. G., and Field, C. B.: Crop yield gaps: Their importance, magnitudes, and causes, Annu. Rev. Env. Resour., 34, 179–204, https://doi.org/10.1146/annurev.environ.041008.093740, 2009.
Lobell, D. B., Bänziger, M., Magorokosho, C., and Vivek, B.: Nonlinear heat effects on African maize as evidenced by historical yield trials, Nat. Clim. Change, 1, 42–45, https://doi.org/10.1038/nclimate1043, 2011a.
Lobell, D. B., Schlenker, W., and Costa-Roberts, J.: Climate Trends and Global crop production since 1980, Science, 333, 1186–1189, https://doi.org/10.1126/science.1206376, 2011b.
Makurira, H., Savenije, H. H. G., Uhlenbrook, S., Rockström, J., and Senzanje, A.: Investigating the water balance of on-farm techniques for improved crop productivity in rainfed systems: A case study of Makanya catchment, Tanzania, Phys. Chem. Earth, 34, 93–98, https://doi.org/10.1016/j.pce.2008.04.003, 2009.
Manik, S. M. N., Pengilley, G., Dean, G., Field, B., Shabala, S., and Zhou, M.: Soil and crop management practices to minimize the impact of waterlogging on crop productivity, Front. Plant Sci., 10, 1–23, https://doi.org/10.3389/fpls.2019.00140, 2019.
Markos, D., Worku, W., and Mamo, G.: Exploring adaptation responses of maize to climate change scenarios in southern central Rift Valley of Ethiopia, Sci. Rep.-UK, 13, 1–18, https://doi.org/10.1038/s41598-023-39795-y, 2023.
Meinshausen, M., Nicholls, Z. R. J., Lewis, J., Gidden, M. J., Vogel, E., Freund, M., Beyerle, U., Gessner, C., Nauels, A., Bauer, N., Canadell, J. G., Daniel, J. S., John, A., Krummel, P. B., Luderer, G., Meinshausen, N., Montzka, S. A., Rayner, P. J., Reimann, S., Smith, S. J., van den Berg, M., Velders, G. J. M., Vollmer, M. K., and Wang, R. H. J.: The shared socio-economic pathway (SSP) greenhouse gas concentrations and their extensions to 2500, Geosci. Model Dev., 13, 3571–3605, https://doi.org/10.5194/gmd-13-3571-2020, 2020.
Mekonnen, M. M. and Hoekstra, A. Y.: The green, blue and grey water footprint of crops and derived crop products, Hydrol. Earth Syst. Sci., 15, 1577–1600, https://doi.org/10.5194/hess-15-1577-2011, 2011.
Meng, M., Pu, X., Li, S., Zhang, Y., Wang, J., Xu, H., Hu, Y., Wang, J., and Wang, Y.: Sensitivities of rainfed maize production to root zone soil water, air temperature and shortwave radiation in the Sanjiang Plain under sub- humid cool-temperate climates, Water-Energy Nexus, 6, 131–136, https://doi.org/10.1016/j.wen.2023.09.003, 2023.
Moges, D. M. and Gangadhara, B. H.: Climate change and its implications for rainfed agriculture in Ethiopia, J. Water Clim. Change, 12, 1229–1244, https://doi.org/10.2166/wcc.2020.058, 2021.
Mohammadi, S., Rydgren, K., Bakkestuen, V., and Gillespie, M. A. K.: Impacts of recent climate change on crop yield can depend on local conditions in climatically diverse regions of Norway, Sci. Rep.-UK, 13, 1–12, https://doi.org/10.1038/s41598-023-30813-7, 2023.
Molden, D., Vithanage, M., de Fraiture, C., Faures, J. M., Gordon, L., Molle, F., and Peden, D.: Water Availability and Its Use in Agriculture, Treatise Water Sci., 4, 707–732, https://doi.org/10.1016/B978-0-444-53199-5.00108-1, 2011.
Mthandi, J., Kahimba, F. C., Tarimo, A. K. P. R., Salim, B. A., and Lowole, M. W.: Root zone soil moisture redistribution in maize (Zea mays L.) under different water application regimes, Agric. Sci., 4, 521–528, https://doi.org/10.4236/as.2013.410070, 2013.
Mu, Q., Zhao, M., and Running, S. W.: MODIS Global Terrestrial Evapotranspiration (ET) Product (NASA MOD16A2/A3) Algorithm Theoretical Basis Document Collection 5, NASA, https://modis-land.gsfc.nasa.gov/pdf/MOD16ATBD.pdf (last access: 22 August 2024), 2019.
Müller, C., Cramer, W., Hare, W. L., and Lotze-Campen, H.: Climate change risks for African agriculture, P. Natl. Acad. Sci. USA, 108, 4313–4315, https://doi.org/10.1073/pnas.1015078108, 2011.
Muluneh, A.: Impact of climate change on soil water balance, maize production, and potential adaptation measures in the Rift Valley drylands of Ethiopia, J. Arid Environ., 179, 104195, https://doi.org/10.1016/j.jaridenv.2020.104195, 2020.
Muñoz-Sabater, J., Dutra, E., Agustí-Panareda, A., Albergel, C., Arduini, G., Balsamo, G., Boussetta, S., Choulga, M., Harrigan, S., Hersbach, H., Martens, B., Miralles, D. G., Piles, M., Rodríguez-Fernández, N. J., Zsoter, E., Buontempo, C., and Thépaut, J.-N.: ERA5-Land: a state-of-the-art global reanalysis dataset for land applications, Earth Syst. Sci. Data, 13, 4349–4383, https://doi.org/10.5194/essd-13-4349-2021, 2021.
Nyakudya, I. W., Stroosnijder, L., and Nyagumbo, I.: Infiltration and planting pits for improved water management and maize yield in semi-arid Zimbabwe, Agr. Water Manage., 141, 30–46, https://doi.org/10.1016/j.agwat.2014.04.010, 2014.
O'Neill, B. C., Tebaldi, C., van Vuuren, D. P., Eyring, V., Friedlingstein, P., Hurtt, G., Knutti, R., Kriegler, E., Lamarque, J.-F., Lowe, J., Meehl, G. A., Moss, R., Riahi, K., and Sanderson, B. M.: The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6, Geosci. Model Dev., 9, 3461–3482, https://doi.org/10.5194/gmd-9-3461-2016, 2016.
Park, S., Chun, J. A., Kim, D., and Sitthikone, M.: Climate risk management for the rainfed rice yield in Lao PDR using APCC MME seasonal forecasts, Agr. Water Manage., 274, 107976, https://doi.org/10.1016/j.agwat.2022.107976, 2022.
Peleg, N., Molnar, P., Burlando, P., and Fatichi, S.: Exploring stochastic climate uncertainty in space and time using a gridded hourly weather generator, J. Hydrol., 571, 627–641, https://doi.org/10.1016/j.jhydrol.2019.02.010, 2019.
Pittelkow, C. M., Linquist, B. A., Lundy, M. E., Liang, X., van Groenigen, K. J., Lee, J., van Gestel, N., Six, J., Venterea, R. T., and van Kessel, C.: When does no-till yield more? A global meta-analysis, Field Crop. Res., 183, 156–168, https://doi.org/10.1016/j.fcr.2015.07.020, 2015.
Poggio, L., de Sousa, L. M., Batjes, N. H., Heuvelink, G. B. M., Kempen, B., Ribeiro, E., and Rossiter, D.: SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty, SOIL, 7, 217–240, https://doi.org/10.5194/soil-7-217-2021, 2021.
Qi, J., Lee, S., Zhang, X., Yang, Q., McCarty, G. W., and Moglen, G. E.: Effects of surface runoff and infiltration partition methods on hydrological modeling: A comparison of four schemes in two watersheds in the Northeastern US, J. Hydrol., 581, 124415, https://doi.org/10.1016/j.jhydrol.2019.124415, 2020.
Raes, D., Steduto, P., Hsiao, T. C., and Fereres, E.: Aquacrop-The FAO crop model to simulate yield response to water: II. main algorithms and software description, Agron. J., 101, 438–447, https://doi.org/10.2134/agronj2008.0140s, 2009.
Raes, D., Steduto, P., Hsiao, T. C., and Fereres, E.: AquaCrop Version 7.1 Reference manual, Food and Agriculture Organization, FAO, Rome, 178 pp., https://openknowledge.fao.org/server/api/core/bitstreams/3c388b6e-5e99-4da3-b457-8becb9b926d7/content (last access: 13 October 2023), 2022.
Ramirez-Villegas, J., Koehler, A. K., and Challinor, A. J.: Assessing uncertainty and complexity in regional-scale crop model simulations, Eur. J. Agron., 88, 84–95, https://doi.org/10.1016/j.eja.2015.11.021, 2017.
Rettie, F. M., Gayler, S., Weber, T. K. D., Tesfaye, K., and Streck, T.: Climate change impact on wheat and maize growth in Ethiopia: A multi-model uncertainty analysis, PLoS One, 17, 1–26, https://doi.org/10.1371/journal.pone.0262951, 2022.
Rezaei, E. E., Webber, H., Asseng, S., Boote, K., Durand, J. L., Ewert, F., Martre, P., and MacCarthy, D. S.: Climate change impacts on crop yields, Nat. Rev. Earth Environ., 4, 16, https://doi.org/10.1038/s43017-023-00491-0, 2023.
Richards, L. A.: Capillary conduction of liquids through porous mediums, J. Appl. Phys., 1, 318–333, https://doi.org/10.1063/1.1745010, 1931.
Ringersma, J., Batjes, N., and Dent, D.: Green Water: definitions and data for assessment, ISRIC – World Soil Information, ISRIC – World Soil Information, Report number: 2003/2, 83 pp., 2003.
Rockström, J.: On-farm green water estimates as a tool for increased food production in water scarce regions, Phys. Chem. Earth Pt. B, 24, 375–383, https://doi.org/10.1016/S1464-1909(99)00016-7, 1999.
Rockström, J.: Water for food and nature in drought-prone tropics: Vapour shift in rain-fed agriculture, Philos. T. Roy. Soc. B, 358, 1997–2009, https://doi.org/10.1098/rstb.2003.1400, 2003.
Rockström, J. and Gordon, L.: Assessment of Green Water Flows to Sustain Major Biomes of the World: Implications for Future Ecohydrological Landscape Management, Phys. Chem. Earth Pt. B, 26, 843–851, https://doi.org/10.1016/S1464-1909(01)00096-X, 2001.
Rockström, J., Karlberg, L., Wani, S. P., Barron, J., Hatibu, N., Oweis, T., Bruggeman, A., Farahani, J., and Qiang, Z.: Managing water in rainfed agriculture-The need for a paradigm shift, Agr. Water Manage., 97, 543–550, https://doi.org/10.1016/j.agwat.2009.09.009, 2010.
Rodell, M., Houser, P. R., Jambor, U., Gottschalck, J., Mitchell, K., Meng, C.-J., Arsenault, K., Cosgrove, B., Radakovich, J., Bosilovich, M., Entin, J. K., Walker, J. P., Lohmann, D., and Toll, D.: The Global Land Data Assimilation System, B. Am. Meteorol. Soc., 85, 381–394, https://doi.org/10.1175/BAMS-85-3-381, 2004.
Rosenzweig, C., Elliott, J., Deryng, D., Ruane, A. C., Müller, C., Arneth, A., Boote, K. J., Folberth, C., Glotter, M., Khabarov, N., Neumann, K., Piontek, F., Pugh, T. A. M., Schmid, E., Stehfest, E., Yang, H., and Jones, J. W.: Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison, P. Natl. Acad. Sci. USA, 111, 3268–3273, https://doi.org/10.1073/pnas.1222463110, 2014.
Ross, C. W., Prihodko, L., Anchang, J., Kumar, S., Ji, W., and Hanan, N. P.: HYSOGs250m, global gridded hydrologic soil groups for curve-number-based runoff modeling, Sci. Data, 5, 180091, https://doi.org/10.1038/sdata.2018.91, 2018.
Rui, H. L. and Beaudoing, H.: README Document for NASA GLDAS Version 2 Data Products, https://hydro1.gesdisc.eosdis.nasa.gov/data/GLDAS/README_GLDAS2.pdf (last access: 22 August 2024), 2020.
Sapino, F., Pérez-Blanco, C. D., Gutiérrez-Martín, C., García-Prats, A., and Pulido-Velazquez, M.: Influence of crop-water production functions on the expected performance of water pricing policies in irrigated agriculture, Agr. Water Manage., 259, 107248, https://doi.org/10.1016/j.agwat.2021.107248, 2022.
Saxton, K. E. and Rawls, W. J.: Soil Water Characteristic Estimates by Texture and Organic Matter for Hydrologic Solutions, Soil Sci. Soc. Am. J., 70, 1569–1578, https://doi.org/10.2136/sssaj2005.0117, 2006.
Schlenker, W. and Lobell, D. B.: Robust negative impacts of climate change on African agriculture, Environ. Res. Lett., 5, 014010, https://doi.org/10.1088/1748-9326/5/1/014010, 2010.
Schuol, J., Abbaspour, K. C., Yang, H., Srinivasan, R., and Zehnder, A. J. B.: Modeling blue and green water availability in Africa, Water Resour. Res., 44, 1–18, https://doi.org/10.1029/2007WR006609, 2008.
Schwartz, R. C., Domínguez, A., Pardo, J. J., Colaizzi, P. D., Baumhardt, R. L., and Bell, J. M.: A crop coefficient–based water use model with non-uniform root distribution, Agr. Water Manage., 228, 105892, https://doi.org/10.1016/j.agwat.2019.105892, 2020.
Segele, Z. T. and Lamb, P. J.: Characterization and variability of Kiremt rainy season over Ethiopia, Meteorol. Atmos. Phys., 89, 153–180, https://doi.org/10.1007/s00703-005-0127-x, 2005.
Senay, G. B., Kagone, S., and Velpuri, N. M.: Operational Global Actual Evapotranspiration, Sensors, 20, 1915, https://doi.org/10.3390/s20071915, 2020.
Serur, A. B.: Modeling blue and green water resources availability at the basin and sub-basin level under changing climate in the Weyb River basin in Ethiopia, Sci. African, 7, e00299, https://doi.org/10.1016/j.sciaf.2020.e00299, 2020.
Setegn, S. G., Rayner, D., Melesse, A. M., Dargahi, B., Srinivasan, R., and Wörman, A.: Climate Change Impact on Agricultural Water Resources Variability in the Northern Highlands of Ethiopia, in: Nile River basin climate, hydrology and water use, edited by: Melesse, A. M., Springer, https://doi.org/10.1007/978-94-007-0689-7_12, 2011.
Siad, S. M., Iacobellis, V., Zdruli, P., Gioia, A., Stavi, I., and Hoogenboom, G.: A review of coupled hydrologic and crop growth models, Agr. Water Manage., 224, 105746, https://doi.org/10.1016/j.agwat.2019.105746, 2019.
Sishu, F. K., Tilahun, S. A., Schmitter, P., and Steenhuis, T. S.: Revisiting the Thornthwaite Mather procedure for baseflow and groundwater storage predictions in sloping and mountainous regions, J. Hydrol. X, 24, 100179, https://doi.org/10.1016/j.hydroa.2024.100179, 2024.
Smedema, L. K. and Rycroft, D. W.: Land drainage: planning and design of agricultural drainage systems, Cornell University Press, Ithaca, New York, 379 pp., ISBN 0801416299, 1983.
Smilovic, M., Gleeson, T., and Adamowski, J.: Crop kites: Determining crop-water production functions using crop coefficients and sensitivity indices, Adv. Water Resour., 97, 193–204, https://doi.org/10.1016/j.advwatres.2016.09.010, 2016.
Spinoni, J., Vogt, J., Naumann, G., Carrao, H., and Barbosa, P.: Towards identifying areas at climatological risk of desertification using the Köppen-Geiger classification and FAO aridity index, Int. J. Climatol., 35, 2210–2222, https://doi.org/10.1002/joc.4124, 2015.
Sposito, G.: Green Water and Global Food Security, Vadose Zone J., 12, 1–6, https://doi.org/10.2136/vzj2013.02.0041, 2013.
Steduto, P., Hsiao, T. C., Raes, D., and Fereres, E.: Aquacrop-the FAO crop model to simulate yield response to water: I. concepts and underlying principles, Agron. J., 101, 426–437, https://doi.org/10.2134/agronj2008.0139s, 2009.
Steduto, P., Hsiao, T. C., Fereres, E., and Raes, D.: Crop yield response to water, Food and Agriculture Organization, Rome, 505 pp., ISBN 978-92-5-107274-5, 2012.
Stockholm International Water Institute (SIWI): Unlocking the potential of enhanced rainfed agriculture, Stockholm, ISBN 978-91-88495-14-3, https://siwi.org/publications/unlocking-the-potential-of-rainfed-agriculture-2/ (last access: 17 November 2023), 2018.
Stöckle, C. O., Donatelli, M., and Nelson, R.: CropSyst, a cropping systems simulation model, Eur. J. Agron., 18, 289–307, https://doi.org/10.1016/S1161-0301(02)00109-0, 2003.
Teferi, E., O'Donnell, G., Kassawmar, T., Mersha, B. D., and Ayele, G. T.: Enhanced Soil Moisture Retrieval through Integrating Satellite Data with Pedotransfer Functions in a Complex Landscape of Ethiopia, Water-Sui, 15, 3396, https://doi.org/10.3390/w15193396, 2023.
Teng, B. and Parinussa, R.: README Document for NASA GLDAS Version 2 Data Products, Goddard Earth Sciences Data and Information Services Center (GES DISC), NASA, 32, https://hydro1.gesdisc.eosdis.nasa.gov/data/WAOB/LPRM_AMSRE_D_SOILM3.002/doc/README_LPRM.pdf (last access: 22 August 2024), 2021.
Tenreiro, T. R., García-Vila, M., Gómez, J. A., Jimenez-Berni, J. A., and Fereres, E.: Water modelling approaches and opportunities to simulate spatial water variations at crop field level, Agr. Water Manage., 240, 106254, https://doi.org/10.1016/j.agwat.2020.106254, 2020.
Teutschbein, C. and Seibert, J.: Bias correction of regional climate model simulations for hydrological climate-change impact studies: Review and evaluation of different methods, J. Hydrol., 456–457, 12–29, https://doi.org/10.1016/j.jhydrol.2012.05.052, 2012.
Tittonell, P. and Giller, K. E.: When yield gaps are poverty traps: The paradigm of ecological intensification in African smallholder agriculture, Field Crop. Res., 143, 76–90, https://doi.org/10.1016/j.fcr.2012.10.007, 2013.
United Nations Framework Convention on Climate Change (UNFCCC): National Adaptation Plans 2021. Progress in the formulation and implementation of NAPs, https://unfccc.int/documents/548662 (last access: 14 December 2023), 2021.
US Department of Agriculture (USDA): Urban Hydrology for Small Watersheds, 164 pp., https://www.nrc.gov/docs/ML1421/ML14219A437.pdf (last access: 16 September 2023), 1986.
van Diepen, C. A., Wolf, J., van Keulen, H., and Rappoldt, C.: WOFOST: a simulation model of crop production, Soil Use Manage., 5, 16–24, https://doi.org/10.1111/j.1475-2743.1989.tb00755.x, 1989.
van Dijk, M., Morley, T., Jongeneel, R., van Ittersum, M., Reidsma, P., and Ruben, R.: Disentangling agronomic and economic yield gaps: An integrated framework and application, Agr. Syst., 154, 90–99, https://doi.org/10.1016/j.agsy.2017.03.004, 2017.
van Ittersum, M. K., Cassman, K. G., Grassini, P., Wolf, J., Tittonell, P., and Hochman, Z.: Yield gap analysis with local to global relevance-A review, Field Crop. Res., 143, 4–17, https://doi.org/10.1016/j.fcr.2012.09.009, 2013.
Wakjira, M. T., Peleg, N., Anghileri, D., Molnar, D., Alamirew, T., Six, J., and Molnar, P.: Rainfall seasonality and timing: implications for cereal crop production in Ethiopia, Agr. Forest Meteorol., 310, 108633, https://doi.org/10.1016/J.AGRFORMET.2021.108633, 2021.
Wakjira, M. T., Peleg, N., Molnar, P., and Burlando, P.: Bias-corrected and downscaled ERA5-Land 2 m air temperature dataset for Ethiopia for the period 1981–2010, https://doi.org/10.3929/ethz-b-000546574, 2022.
Wakjira, M. T., Peleg, N., Burlando, P., and Molnar, P.: Gridded daily 2 m air temperature dataset for Ethiopia derived by debiasing and downscaling ERA5-Land for the period 1981–2010, Data Br., 46, 108844, https://doi.org/10.1016/j.dib.2022.108844, 2023.
Wakjira, M. T., Peleg, N., Six, J., and Molnar, P.: Current and future cropland suitability for cereal production across the rainfed agricultural landscapes of Ethiopia, Agr. Forest Meteorol., 358, 110262, https://doi.org/10.1016/j.agrformet.2024.110262, 2024.
Warren, R. F., Wilby, R. L., Brown, K., Watkiss, P., Betts, R. A., Murphy, J. M., and Lowe, J. A.: Advancing national climate change risk assessment to deliver national adaptation plans, Philos. T. Roy. Soc. A, 376, 20170295, https://doi.org/10.1098/rsta.2017.0295, 2018.
Williams, J.: The erosion-productivity impact calculator (EPIC) model: a case history, Philos. T. Roy. Soc. B, 329, 421–428, https://doi.org/10.1098/rstb.1990.0184, 1990.
Yang, M., Wang, G., Sun, Y., You, L., and Anyah, R.: Water stress dominates the projected maize yield changes in Ethiopia, Global Planet. Change, 228, 104216, https://doi.org/10.1016/j.gloplacha.2023.104216, 2023.
Zhang, Q., Yuan, Q., Jin, T., Song, M., and Sun, F.: SGD-SM 2.0: an improved seamless global daily soil moisture long-term dataset from 2002 to 2022, Earth Syst. Sci. Data, 14, 4473–4488, https://doi.org/10.5194/essd-14-4473-2022, 2022.
Zhang, Y., Kong, D., Gan, R., Chiew, F. H. S., McVicar, T. R., Zhang, Q., and Yang, Y.: Coupled estimation of 500 m and 8 d resolution global evapotranspiration and gross primary production in 2002–2017, Remote Sens. Environ., 222, 165–182, https://doi.org/10.1016/j.rse.2018.12.031, 2019.
Short summary
In this study, we implement a climate, water, and crop interaction model to evaluate current conditions and project future changes in rainwater availability and its yield potential, with the goal of informing adaptation policies and strategies in Ethiopia. Although climate change is likely to increase rainfall in Ethiopia, our findings suggest that water-scarce croplands in Ethiopia are expected to face reduced crop yields during the main growing season due to increases in temperature.
In this study, we implement a climate, water, and crop interaction model to evaluate current...
