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Prof. Dr. Andre Daccache
Department of Biological and Agricultural Engineering, University of California, Davis, CA 95616, USA

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Research Keywords & Expertise

0 Remote Sensing
0 water resources management
0 Irrigation engineering
0 precision irrigation
0 Crop and soil spatial variability

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Journal article
Published: 13 June 2021 in Remote Sensing
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Multispectral imaging using Unmanned Aerial Vehicles (UAVs) has changed the pace of precision agriculture. Actual evapotranspiration (ETa) from the very high spatial resolution of UAV images over agricultural fields can help farmers increase their production at the lowest possible cost. ETa estimation using UAVs requires a full package of sensors capturing the visible/infrared and thermal portions of the spectrum. Therefore, this study focused on a multi-sensor data fusion approach for ETa estimation (MSDF-ET) independent of thermal sensors. The method was based on sharpening the Landsat 8 pixels to UAV spatial resolution by considering the relationship between reference ETa fraction (ETrf) and a Vegetation Index (VI). Four Landsat 8 images were processed to calculate ETa of three UAV images over three almond fields. Two flights coincided with the overpasses and one was in between two consecutive Landsat 8 images. ETrf was chosen instead of ETa to interpolate the Landsat 8-derived ETrf images to obtain an ETrf image on the UAV flight. ETrf was defined as the ratio of ETa to grass reference evapotranspiration (ETr), and the VIs tested in this study included the Normalized Difference Vegetation Index (NDVI), Soil Adjusted Vegetation Index (SAVI), Enhanced Vegetation Index (EVI), Normalized Difference Water Index (NDWI), and Land Surface Water Index (LSWI). NDVI performed better under the study conditions. The MSDF-ET-derived ETa showed strong correlations against measured ETa, UAV- and Landsat 8-based METRIC ETa. Also, visual comparison of the MSDF-ET ETa maps was indicative of a promising performance of the method. In sum, the resulting ETa had a higher spatial resolution compared with thermal-based ETa without the need for the Albedo and hot/cold pixels selection procedure. However, wet soils were poorly detected, and in cases of continuous cloudy Landsat pixels the long interval between the images may cause biases in ETa estimation from the MSDF-ET method. Generally, the MSDF-ET method reduces the need for very high resolution thermal information from the ground, and the calculations can be conducted on a moderate-performance computer system because the main image processing is applied on Landsat images with coarser spatial resolutions.

ACS Style

Ali Mokhtari; Arman Ahmadi; Andre Daccache; Kelley Drechsler. Actual Evapotranspiration from UAV Images: A Multi-Sensor Data Fusion Approach. Remote Sensing 2021, 13, 2315 .

AMA Style

Ali Mokhtari, Arman Ahmadi, Andre Daccache, Kelley Drechsler. Actual Evapotranspiration from UAV Images: A Multi-Sensor Data Fusion Approach. Remote Sensing. 2021; 13 (12):2315.

Chicago/Turabian Style

Ali Mokhtari; Arman Ahmadi; Andre Daccache; Kelley Drechsler. 2021. "Actual Evapotranspiration from UAV Images: A Multi-Sensor Data Fusion Approach." Remote Sensing 13, no. 12: 2315.

Journal article
Published: 19 March 2021 in Journal of Environmental Management
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The continuous growing demand for water, prolonged periods of drought, and climatic uncertainties attributed mainly to climate change mean surface water reservoirs more than ever need to be managed efficiently. Several optimization algorithms have been developed to optimize multi-reservoir systems operation, mostly during severe dry/wet seasons, to mitigate extreme-events consequences. Yet, convergence speed, presence of local optimums, and calculation-cost efficiency are challenging while looking for the global optimum. In this paper, the problem of finding an efficient optimal operation policy in multi-reservoir systems is discussed. The complexity of the long-term operating rules and the reservoirs' upstream and downstream joint-demands projected in recursive constraints make this problem formidable. The original Coral Reefs Optimization (CRO) algorithm, which is a meta-heuristic evolutionary algorithm, and two modified versions have been used to solve this problem. Proposed modifications reduce the calculation cost by narrowing the search space called a constrained-CCRO and adjusting reproduction operators with a reinforcement learning approach, namely the Q-Learning method (i.e., the CCRO-QL algorithm). The modified versions search for the optimum solution in the feasible region instead of the entire problem domain. The models’ performance has been evaluated by solving five mathematical benchmark problems and a well-known continuous four-reservoir system (CFr) problem. Obtained results have been compared with those in the literature and the global optimum, which Linear Programming (LP) achieves. The CCRO-QL is shown to be very calculation-cost-effective in locating the global optimum or near-optimal solutions and efficient in terms of convergence, accuracy, and robustness.

ACS Style

Mohammad Emami; Sara Nazif; Sayed-Farhad Mousavi; Hojat Karami; Andre Daccache. A hybrid constrained coral reefs optimization algorithm with machine learning for optimizing multi-reservoir systems operation. Journal of Environmental Management 2021, 286, 112250 .

AMA Style

Mohammad Emami, Sara Nazif, Sayed-Farhad Mousavi, Hojat Karami, Andre Daccache. A hybrid constrained coral reefs optimization algorithm with machine learning for optimizing multi-reservoir systems operation. Journal of Environmental Management. 2021; 286 ():112250.

Chicago/Turabian Style

Mohammad Emami; Sara Nazif; Sayed-Farhad Mousavi; Hojat Karami; Andre Daccache. 2021. "A hybrid constrained coral reefs optimization algorithm with machine learning for optimizing multi-reservoir systems operation." Journal of Environmental Management 286, no. : 112250.

Review
Published: 26 February 2021 in Agronomy
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Reflectance spectroscopy for soil property prediction is a non-invasive, fast, and cost-effective alternative to the standard laboratory analytical procedures. Soil spectroscopy has been under study for decades now with limited application outside research. The recent advancement in precision agriculture and the need for the spatial assessment of soil properties have raised interest in this technique. The performance of soil spectroscopy differs from one site to another depending on the soil’s physical composition and chemical properties but it also depends on the instrumentation, mode of use (in-situ/laboratory), spectral range, and data analysis methods used to correlate reflectance data to soil properties. This paper uses the systematic review procedure developed by the Centre for Evidence-Based Conservation (CEBC) for an evidence-based search of soil property prediction using Visible (V) and Near-InfraRed (NIR) reflectance spectroscopy. Constrained by inclusion criteria and defined methods for literature search and data extraction, a meta-analysis is conducted on 115 articles collated from 30 countries. In addition to the soil properties, findings are also categorized and reported by different aspects like date of publication, journals, countries, employed regression methods, laboratory or in-field conditions, spectra preprocessing methods, samples drying methods, spectroscopy devices, wavelengths, number of sites and samples, and data division into calibration and validation sets. The arithmetic means of the coefficient of determination (R 2) over all the reports for different properties ranged from 0.68 to 0.87, with better predictions for carbon and nitrogen content and lower performance for silt and clay. After over 30 years of research on using V-NIR spectroscopy to predict soil properties, this systematic review reveals solid evidence from a literature search that this technology can be relied on as a low-cost and fast alternative for standard methods of soil properties prediction with acceptable accuracy.

ACS Style

Arman Ahmadi; Mohammad Emami; Andre Daccache; Liuyue He. Soil Properties Prediction for Precision Agriculture Using Visible and Near-Infrared Spectroscopy: A Systematic Review and Meta-Analysis. Agronomy 2021, 11, 433 .

AMA Style

Arman Ahmadi, Mohammad Emami, Andre Daccache, Liuyue He. Soil Properties Prediction for Precision Agriculture Using Visible and Near-Infrared Spectroscopy: A Systematic Review and Meta-Analysis. Agronomy. 2021; 11 (3):433.

Chicago/Turabian Style

Arman Ahmadi; Mohammad Emami; Andre Daccache; Liuyue He. 2021. "Soil Properties Prediction for Precision Agriculture Using Visible and Near-Infrared Spectroscopy: A Systematic Review and Meta-Analysis." Agronomy 11, no. 3: 433.

Review
Published: 13 April 2020 in Sustainability
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In the last few decades, a great deal has been written on the use of sustainable agriculture to improve the resilience of ecosystem services to climate change. However, no tangible and systematic evidence exists on how this agriculture would participate in alleviating impacts on vulnerable rural communities. This paper provides a narrative systematic review (SR) integrated with a bibliometric analysis and a concept network analysis to determine how, in this changing climate, sustainable agriculture can increase the resilience of agrosystems. Our search ranged from the date of the first relevant article until the end of 2018. The results generated demonstrated the following: (a) Only single practices and methods have been studied to assess the impacts on single ecosystem services; (b) Soil quality and health are considered a key indicator of sustainable agriculture; (c) Although the assessed practices and methods were shown to improve the biodiversity of agrosystems, which makes them more resilient to extreme climate events, we are still far from developing interdisciplinary and multidimensional agriculture that integrates all management aspects and generates a full range of ecosystem services. In conclusion, this study addressed the following recommendations for the scientific community and policymakers to orient future research strategies and efforts: (a) The integration of all agrosystem services into sustainable management using an ecosystem-based approach on a life-cycle basis using the Life Cycle Assessment (LCA) method; (b) Improving the scientific understanding of traditional knowledge to facilitate greater synergy and further integration; (c) The unification of assessment methods and indicators for the quantification of impacts; (d) The creation of a platform to share, monitor, screen, and approve assessments and evaluations of sustainable agriculture by region.

ACS Style

Daniel El Chami; André Daccache; Maroun El Moujabber. How Can Sustainable Agriculture Increase Climate Resilience? A Systematic Review. Sustainability 2020, 12, 3119 .

AMA Style

Daniel El Chami, André Daccache, Maroun El Moujabber. How Can Sustainable Agriculture Increase Climate Resilience? A Systematic Review. Sustainability. 2020; 12 (8):3119.

Chicago/Turabian Style

Daniel El Chami; André Daccache; Maroun El Moujabber. 2020. "How Can Sustainable Agriculture Increase Climate Resilience? A Systematic Review." Sustainability 12, no. 8: 3119.

Review
Published: 27 February 2020
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In the last few decades, a lot has been written on the use of sustainable agriculture to improve ecosystem services for resilience to climate change. However, no tangible and systematic evidence exists on how this would participate in alleviating impacts on vulnerable rural communities. This paper provides a narrative systematic review (SR) integrated with a bibliometric analysis and a concept network analysis to understand how, in a changing climate, sustainable agriculture builds the resilience of agro-systems. The search was set from the date of the first relevant article until the end of 2018. Results generated have demonstrated that: a. Only single practices and methods have been studied to assess impacts on single ecosystem services. b. Soil quality and health are considered a key indicator of sustainable agriculture. c. Albeit the assessed practices and methods have shown to improve the biodiversity of agro-systems, which makes them more resilient to extreme climate events, we are still far from reaching interdisciplinary and multi-dimensional agriculture which integrates all management aspects and generates a full range of ecosystem services. In conclusion, the study addressed the following recommendations for the scientific community and for decision-makers to orient future research strategies and efforts: a. Integration of all agro-systems services into sustainable management using an ecosystem-based approach on a life-cycle basis using Life Cycle Assessment (LCA) method; b. Improving the scientific understanding of traditional knowledge for higher synergies and for further integration; c. Unification of assessment methods and indicators for the quantification of impacts; d. Creation of a platform to share, monitor, screen, and approve assessments and evaluations of sustainable agriculture by region.

ACS Style

Daniel El Chami; André Daccache; Maroun El Moujabber. How Could Sustainable Agriculture Increase Climate Resilience? A Systematic Review. 2020, 1 .

AMA Style

Daniel El Chami, André Daccache, Maroun El Moujabber. How Could Sustainable Agriculture Increase Climate Resilience? A Systematic Review. . 2020; ():1.

Chicago/Turabian Style

Daniel El Chami; André Daccache; Maroun El Moujabber. 2020. "How Could Sustainable Agriculture Increase Climate Resilience? A Systematic Review." , no. : 1.

Review
Published: 27 February 2020
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Since the 1950s sugarcane production has grown rapidly from less than 0.5 billion tonnes in the late 50s to reach over 1.9 billion tonnes in 2012 on about 27 million hectares of agricultural land. This expansion has been boosted by the high demand for bioethanol promoted as a sustainable bioenergy source which accounted in 2010 for the biggest share of the global biofuel market. Despite its benefits, the scientific debate on sugar is growing especially that counterarguments are so many, including negative impacts on different interacting ecosystems and human well-being, e.g. bigger stress on land and water resources, environmental externalities on air, a harmful impact on the biodiversity and endemic species, negative environmental externalities, health, and socio-economic aspects. This paper provides a narrative systematic review (SR) of the impacts of sugarcane production on these different ecosystems employing the ecosystem services framework for its acceptance by policy-makers. The references included for the SR were 163 and results showed that the majority of the studies are from Brazil, Australia, South Africa and the USA (≈ 75% of the literature), most of them were from peer-reviewed journals (85%), and most of the case studies adopted a quantitative research approach (93%). The literature assessed showed that sugarcane, like all agro-systems, depends on the practices and techniques to transform negative impacts into positive externalities on ecosystems and human well-being. However, the literature studied failed to include the inter-linkage in sugarcane production impacts’ and therefore to evaluate the related ecosystem services with respect to the Millennium Ecosystem Assessment (MA) framework to account for existing trade-offs. Therefore, the findings are addressed to the scientific community and decision-maker for an intensification of interdisciplinary and integrated research based on the MA framework to cover all ecosystem services, for sustainable development of the sugarcane sector.

ACS Style

Daniel El Chami; André Daccache; Maroun El Moujabber. What are the Impacts of Sugarcane Production on Ecosystem Services? A Review. 2020, 1 .

AMA Style

Daniel El Chami, André Daccache, Maroun El Moujabber. What are the Impacts of Sugarcane Production on Ecosystem Services? A Review. . 2020; ():1.

Chicago/Turabian Style

Daniel El Chami; André Daccache; Maroun El Moujabber. 2020. "What are the Impacts of Sugarcane Production on Ecosystem Services? A Review." , no. : 1.

Journal article
Published: 11 September 2017 in Agricultural Water Management
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Strawberries are a high value crop in the UK soft fruit sector, with the majority of production grown at field-scale and under protected (polytunnel) conditions. Despite its importance to the rural economy, there is surprisingly little published scientific evidence on the economics of irrigated strawberry production and the value of water in this horticultural sector. A survey of growers, supplemented by secondary data and industry sources, shows considerable variation in key physical and financial performance indicators, both within and between different strawberry production systems, as well as evidence of good practice. Water application depths ranged widely from 800 to over 2000 m3 ha−1 according to grower and crop variety. Irrigation costs typically range between £1.30 and £2.50 m−3 of water applied, highest where storage reservoirs and public water supplies are used. The average value of irrigation water for strawberry net of costs was about £6 m−3, much higher than for field crops such as potatoes. The importance of a reliable water supply to support irrigated strawberry production is highlighted. Climate change and growing pressures on water resources are likely to force a greater interest in irrigation economics in the soft fruit sector, especially in the face of restrictions on summer abstraction and rising competition and charges for using public water supply.

ACS Style

J. Morris; M.A. Else; Daniel El Chami; A. Daccache; D. Rey; J.W. Knox. Essential irrigation and the economics of strawberries in a temperate climate. Agricultural Water Management 2017, 194, 90 -99.

AMA Style

J. Morris, M.A. Else, Daniel El Chami, A. Daccache, D. Rey, J.W. Knox. Essential irrigation and the economics of strawberries in a temperate climate. Agricultural Water Management. 2017; 194 ():90-99.

Chicago/Turabian Style

J. Morris; M.A. Else; Daniel El Chami; A. Daccache; D. Rey; J.W. Knox. 2017. "Essential irrigation and the economics of strawberries in a temperate climate." Agricultural Water Management 194, no. : 90-99.

Article
Published: 29 August 2017 in Precision Agriculture
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Precision irrigation technologies are being widely promoted to resolve challenges regarding improving crop productivity under conditions of increasing water scarcity. In this paper, the development of an integrated modelling approach involving the coupling of a water application model with a biophysical crop simulation model (Aquacrop) to evaluate the in-field impacts of precision irrigation on crop yield and soil water management is described. The approach allows for a comparison between conventional irrigation management practices against a range of alternate so-called ‘precision irrigation’ strategies (including variable rate irrigation, VRI). It also provides a valuable framework to evaluate the agronomic (yield), water resource (irrigation use and water efficiency), energy (consumption, costs, footprint) and environmental (nitrate leaching, drainage) impacts under contrasting irrigation management scenarios. The approach offers scope for including feedback loops to help define appropriate irrigation management zones and refine application depths accordingly for scheduling irrigation. The methodology was applied to a case study in eastern England to demonstrate the utility of the framework and the impacts of precision irrigation in a humid climate on a high-value field crop (onions). For the case study, the simulations showed how VRI is a potentially useful approach for irrigation management even in a humid environment to save water and reduce deep percolation losses (drainage). It also helped to increase crop yield due to improved control of soil water in the root zone, especially during a dry season.

ACS Style

Rafael González Perea; Andre Daccache; Juan Antonio Rodríguez Díaz; E. Camacho Poyato; J. W. Knox. Modelling impacts of precision irrigation on crop yield and in-field water management. Precision Agriculture 2017, 19, 497 -512.

AMA Style

Rafael González Perea, Andre Daccache, Juan Antonio Rodríguez Díaz, E. Camacho Poyato, J. W. Knox. Modelling impacts of precision irrigation on crop yield and in-field water management. Precision Agriculture. 2017; 19 (3):497-512.

Chicago/Turabian Style

Rafael González Perea; Andre Daccache; Juan Antonio Rodríguez Díaz; E. Camacho Poyato; J. W. Knox. 2017. "Modelling impacts of precision irrigation on crop yield and in-field water management." Precision Agriculture 19, no. 3: 497-512.

Review
Published: 01 November 2016 in Environmental Research Letters
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Future changes in temperature, rainfall and soil moisture could threaten agricultural land use and crop productivity in Europe, with major consequences for food security. We assessed the projected impacts of climate change on the yield of seven major crop types (viz wheat, barley, maize, potato, sugar beet, rice and rye) grown in Europe using a systematic review (SR) and meta-analysis of data reported in 41 original publications from an initial screening of 1748 studies. Our approach adopted an established SR procedure developed by the Centre for Evidence Based Conservation constrained by inclusion criteria and defined methods for literature searches, data extraction, meta-analysis and synthesis. Whilst similar studies exist to assess climate impacts on crop yield in Africa and South Asia, surprisingly, no comparable synthesis has been undertaken for Europe. Based on the reported results (n = 729) we show that the projected change in average yield in Europe for the seven crops by the 2050s is +8%. For wheat and sugar beet, average yield changes of +14% and +15% are projected, respectively. There were strong regional differences with crop impacts in northern Europe being higher (+14%) and more variable compared to central (+6%) and southern (+5) Europe. Maize is projected to suffer the largest negative mean change in southern Europe (−11%). Evidence of climate impacts on yield was extensive for wheat, maize, sugar beet and potato, but very limited for barley, rice and rye. The implications for supporting climate adaptation policy and informing climate impacts crop science research in Europe are discussed.

ACS Style

Jerry Knox; Andre Daccache; Tim Hess; David Haro-Monteagudo. Meta-analysis of climate impacts and uncertainty on crop yields in Europe. Environmental Research Letters 2016, 11, 113004 .

AMA Style

Jerry Knox, Andre Daccache, Tim Hess, David Haro-Monteagudo. Meta-analysis of climate impacts and uncertainty on crop yields in Europe. Environmental Research Letters. 2016; 11 (11):113004.

Chicago/Turabian Style

Jerry Knox; Andre Daccache; Tim Hess; David Haro-Monteagudo. 2016. "Meta-analysis of climate impacts and uncertainty on crop yields in Europe." Environmental Research Letters 11, no. 11: 113004.

Journal article
Published: 01 October 2016 in Biosystems Engineering
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ACS Style

Abdelouahid Fouial; Roula Khadra; Andrè Daccache; Nicola Lamaddalena. Modelling the impact of climate change on pressurised irrigation distribution systems: Use of a new tool for adaptation strategy implementation. Biosystems Engineering 2016, 150, 182 -190.

AMA Style

Abdelouahid Fouial, Roula Khadra, Andrè Daccache, Nicola Lamaddalena. Modelling the impact of climate change on pressurised irrigation distribution systems: Use of a new tool for adaptation strategy implementation. Biosystems Engineering. 2016; 150 ():182-190.

Chicago/Turabian Style

Abdelouahid Fouial; Roula Khadra; Andrè Daccache; Nicola Lamaddalena. 2016. "Modelling the impact of climate change on pressurised irrigation distribution systems: Use of a new tool for adaptation strategy implementation." Biosystems Engineering 150, no. : 182-190.

Journal article
Published: 01 July 2016 in Agricultural Water Management
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Irrigation is an essential component of crop production to meet retailer demands for premium quality when rainfall is insufficient. Under drought conditions, irrigation can be constrained by water resources availability, with consequent impacts on yield, quality and revenue. Whilst most agriculture in Europe is rainfed, greater dependence on supplemental irrigation could become more important in humid environments due to a changing climate with greater rainfall uncertainty and higher frequency of droughts. By combining industry and farm level economic data, with geospatial information on agricultural land use, agroclimate, soils and irrigation practices within a GIS, this paper estimates the total financial benefit of outdoor irrigated production in England and Wales assuming no constraints in resource availability and optimal irrigation practices. The analysis suggests that the total net benefits of irrigation in a ‘design’ dry year are around £665 million, with an average irrigation water productivity in excess of £3.3 per m3 (close to £1.1 per m3 excluding soft fruit). Map outputs highlight significant regional differences in water productivity reflecting the composition of land use and the importance of crop mix in determining economic value. A sensitivity analysis to changes in agroclimate, market conditions (crop prices) and water supply (costs) illustrates how the benefits might change under contrasting scenario. The study highlights the importance of supplemental irrigation, even in a humid climate, and the risks that future droughts and/or constraints in water resource availability might have on agricultural systems, livelihoods and the rural economy. The implications for water resources and drought management are discussed.

ACS Style

D. Rey; Ian Holman; Andre Daccache; J. Morris; Edward Keith Weatherhead; Jerry Knox. Modelling and mapping the economic value of supplemental irrigation in a humid climate. Agricultural Water Management 2016, 173, 13 -22.

AMA Style

D. Rey, Ian Holman, Andre Daccache, J. Morris, Edward Keith Weatherhead, Jerry Knox. Modelling and mapping the economic value of supplemental irrigation in a humid climate. Agricultural Water Management. 2016; 173 ():13-22.

Chicago/Turabian Style

D. Rey; Ian Holman; Andre Daccache; J. Morris; Edward Keith Weatherhead; Jerry Knox. 2016. "Modelling and mapping the economic value of supplemental irrigation in a humid climate." Agricultural Water Management 173, no. : 13-22.

Journal article
Published: 06 June 2016 in Global Environmental Change
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Globally, the area of sugarcane is rising rapidly in response to growing demands for bioethanol and increased sugar demand for human consumption. Despite considerable diversity in production systems and contexts, sugarcane is a particularly “high impact” crop with significant positive and negative environmental and socio-economic impacts. Our analysis is focused on Sub-Saharan Africa (SSA), which is a critical region for continued expansion, due to its high production potential, low cost of production and proximity, and access, to European markets. Drawing on a systematic review of scientific evidence, combined with information from key informants, stakeholders and a research-industry workshop, we critically assess the impacts of sugarcane development on water, soil and air quality, employment, food security and human health. Our analysis shows that sugarcane production is, in general, neither explicitly good nor bad, sustainable nor unsustainable. The impacts of expansion of sugarcane production on the environment and society depend on the global political economy of sugar, local context, quality of scheme, nature of the production system and farm management. Despite threats from climate change and forthcoming changes in the trade relationship with the European Union, agricultural development policies are driving national and international interest and investment in sugarcane in SSA, with expansion likely to play an important role in sustainable development in the region. Our findings will help guide researchers and policy makers with new insights in understanding the situated environmental and social impacts associated with alternative sugar economy models, production technologies and qualities of management.

ACS Style

T.M. Hess; J. Sumberg; T. Biggs; M. Georgescu; D. Haro-Monteagudo; Graham Jewitt; M. Ozdogan; M. Marshall; P. Thenkabail; A. Daccache; F. Marin; J.W. Knox. A sweet deal? Sugarcane, water and agricultural transformation in Sub-Saharan Africa. Global Environmental Change 2016, 39, 181 -194.

AMA Style

T.M. Hess, J. Sumberg, T. Biggs, M. Georgescu, D. Haro-Monteagudo, Graham Jewitt, M. Ozdogan, M. Marshall, P. Thenkabail, A. Daccache, F. Marin, J.W. Knox. A sweet deal? Sugarcane, water and agricultural transformation in Sub-Saharan Africa. Global Environmental Change. 2016; 39 ():181-194.

Chicago/Turabian Style

T.M. Hess; J. Sumberg; T. Biggs; M. Georgescu; D. Haro-Monteagudo; Graham Jewitt; M. Ozdogan; M. Marshall; P. Thenkabail; A. Daccache; F. Marin; J.W. Knox. 2016. "A sweet deal? Sugarcane, water and agricultural transformation in Sub-Saharan Africa." Global Environmental Change 39, no. : 181-194.

Journal article
Published: 28 March 2016 in Grassland Science
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Chlorophyll is a natural coloring extract used extensively in the food and pharmaceutical industries. In Europe, most chlorophyll is produced commercially from rainfed grassland production in eastern England. This paper describes a biogeochemical modeling study to assess the potential yield benefits associated with switching from rainfed to irrigated production. The research is in response the impacts of recent summer droughts on yield coupled with risks regarding climate change, rainfall reliability and long-term viability of rainfed production. The Denitrification-Decomposition model was calibrated and validated using multiple field data (n = 47) from 2000 to 2009 for a tall fescue grass (Festuca arundinacea) to simulate a range of irrigation and fertilizer management regimes on yield (annual and individual yield per cut). For chlorophyll production, a schedule combining 300 mm year−1 irrigation with 300 kg N ha−1 was shown to provide the highest average yield (an uplift of +62% above current levels). Switching from rainfed to irrigated production could also potentially halve (54%) current levels of fertilizer application. The implications for reducing environmental impacts from nitrate leaching are discussed.

ACS Style

Marta Pérez Ortolá; Andre Daccache; Jerry W. Knox. Modeling irrigation and fertilizer use for chlorophyll production. Grassland Science 2016, 62, 102 -111.

AMA Style

Marta Pérez Ortolá, Andre Daccache, Jerry W. Knox. Modeling irrigation and fertilizer use for chlorophyll production. Grassland Science. 2016; 62 (2):102-111.

Chicago/Turabian Style

Marta Pérez Ortolá; Andre Daccache; Jerry W. Knox. 2016. "Modeling irrigation and fertilizer use for chlorophyll production." Grassland Science 62, no. 2: 102-111.

Journal article
Published: 01 February 2016 in Science of The Total Environment
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Copyright © 2015 Elsevier. NOTICE: this is the author’s version of a work that was accepted for publication in Science of the Total Environment. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Science of the Total Environment (2015), DOI: 10.1016/j.scitotenv.2015.04.066Many (semi-) arid locations globally, and particularly islands, rely heavily on reservoirs for water supply. Some reservoirs are particularly vulnerable to climate and development changes (e.g. population change, tourist growth, hydropower demands). Irregularities and uncertainties in the fluvial regime associated with climate change and the continuous increase in water demand by different sectors will add new challenges to the management and to the resilience of these reservoirs. The resilience of vulnerable reservoirs must be studied in detail to prepare for and mitigate potential impacts of these changes. In this paper, a reservoir balance model is developed and presented for the Pedra e' Othoni reservoir in Sardinia, Italy, to assess resilience to climate and development changes. The model was first calibrated and validated, then forced with extensive ensemble climate data for representative concentration pathways (RCPs) 4.5 and 8.5, agricultural data, and with four socio-economic development scenarios. Future projections show a reduction in annual reservoir inflow and an increase in demand, mainly in the agricultural sector. Under no scenario is reservoir resilience significantly affected, the reservoir always achieves refill. However, this occurs at the partial expenses of hydropower production with implications for the production of renewable energy. There is also the possibility of conflict between the agricultural sector and hydropower sector for diminishing water supply. Pedra e' Othoni reservoir shows good resilience to future change mostly because of the disproportionately large basin feeding it. However this is not the case of other Sardinian reservoirs and hence a detailed resilience assessment of all reservoirs is needed, where development plans should carefully account for the trade-offs and potential conflicts among sectors. For Sardinia, the option of physical connection between reservoirs is available, as are alternative water supply measures. Those reservoirs at risk to future change should be identified, and mitigating measures investigated.European Commission Seventh Framework Project ‘WASSERMed’ (Water Availability and Security in Southern EuRope and the Mediterranean

ACS Style

Simone Mereu; Janez Sušnik; Antonio Trabucco; Andre Daccache; Lydia Vamvakeridou-Lyroudia; Stefano Renoldi; Andrea Virdis; Dragan Savic; Dionysis Assimacopoulos. Operational resilience of reservoirs to climate change, agricultural demand, and tourism: A case study from Sardinia. Science of The Total Environment 2016, 543, 1028 -1038.

AMA Style

Simone Mereu, Janez Sušnik, Antonio Trabucco, Andre Daccache, Lydia Vamvakeridou-Lyroudia, Stefano Renoldi, Andrea Virdis, Dragan Savic, Dionysis Assimacopoulos. Operational resilience of reservoirs to climate change, agricultural demand, and tourism: A case study from Sardinia. Science of The Total Environment. 2016; 543 ():1028-1038.

Chicago/Turabian Style

Simone Mereu; Janez Sušnik; Antonio Trabucco; Andre Daccache; Lydia Vamvakeridou-Lyroudia; Stefano Renoldi; Andrea Virdis; Dragan Savic; Dionysis Assimacopoulos. 2016. "Operational resilience of reservoirs to climate change, agricultural demand, and tourism: A case study from Sardinia." Science of The Total Environment 543, no. : 1028-1038.

Journal article
Published: 01 January 2016 in Journal of Cleaner Production
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ACS Style

Tim Hess; Julia Chatterton; Andre Daccache; Adrian Williams. The impact of changing food choices on the blue water scarcity footprint and greenhouse gas emissions of the British diet: the example of potato, pasta and rice. Journal of Cleaner Production 2016, 112, 4558 -4568.

AMA Style

Tim Hess, Julia Chatterton, Andre Daccache, Adrian Williams. The impact of changing food choices on the blue water scarcity footprint and greenhouse gas emissions of the British diet: the example of potato, pasta and rice. Journal of Cleaner Production. 2016; 112 ():4558-4568.

Chicago/Turabian Style

Tim Hess; Julia Chatterton; Andre Daccache; Adrian Williams. 2016. "The impact of changing food choices on the blue water scarcity footprint and greenhouse gas emissions of the British diet: the example of potato, pasta and rice." Journal of Cleaner Production 112, no. : 4558-4568.

Original articles
Published: 15 December 2015 in Hydrological Sciences Journal
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Evapotranspiration (ET) is one of the most important components in the hydrological cycle, and a key variable in hydrological modelling and water resources management. However, understanding the impacts of spatial variability in ET and the appropriate scale at which ET data should be incorporated into hydrological models, particularly at the regional scale, is often overlooked. This is in contrast to dealing with the spatial variability in rainfall data where existing guidance is widely available. This paper assesses the impacts of scale on the estimation of reference ET (ETo) by comparing data from individual weather stations against values derived from three national datasets, at varying resolutions. These include the UK Climate Impacts Programme 50 km climatology (UKCP50), the UK Met Office 5 km climatology (UKMO5) and the regional values published in the Agricultural Climate of England and Wales (ACEW). The national datasets were compared against the individual weather station data and the UKMO5 was shown to provide the best estimate of ETo at a given site. The potential impacts on catchment modelling were then considered by mapping variance in ETo to show how geographical location and catchment size can have a major impact, with small lowland catchments having much higher variance than those with much larger areas or in the uplands. Some important implications for catchment hydrological modelling are highlighted.

ACS Style

Tim Hess; André Daccache; Ali Daneshkhah; Jerry Knox. Scale impacts on spatial variability in reference evapotranspiration. Hydrological Sciences Journal 2015, 61, 601 -609.

AMA Style

Tim Hess, André Daccache, Ali Daneshkhah, Jerry Knox. Scale impacts on spatial variability in reference evapotranspiration. Hydrological Sciences Journal. 2015; 61 (3):601-609.

Chicago/Turabian Style

Tim Hess; André Daccache; Ali Daneshkhah; Jerry Knox. 2015. "Scale impacts on spatial variability in reference evapotranspiration." Hydrological Sciences Journal 61, no. 3: 601-609.

Journal article
Published: 01 November 2015 in Agricultural Systems
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Highlights•A novel framework to assess the sustainability of agricultural systems under climate change conditions;•It combines outputs from a GCM, a crop growth model, a LCA model and economic modelling;•The impact on winter wheat grown in the East of England is a reduction in the rainfed yield, stronger under scenario (B1).•Irrigation improves yields and the financial appraisal of irrigation investment but increases IWRs and GWP. AbstractThe proposed study draws a novel framework to assess the sustainability of winter wheat under climate change conditions and irrigation as an adaption measure to reduce yield variability. The methodology combines outputs from a general circulation model (GCM), the Food and Agriculture Organization's (FAO) crop growth model (AquaCrop), a life cycle assessment (LCA) model and economic modelling. Long-term observed climate data (1970–1991) collected in Cambridge (Cambridgeshire, UK) were used to downscale the projected climate data from the GCM for 2050. The structural characteristics of the case study are representative of a typical farm in this UK region. A six-year average wheat price (2007–2012) was considered and the irrigation costs for the economic model were calculated assuming the market prices in 2014. Sensitivity analysis assessed in the longer term included the expected variations due to the increase in world wheat prices and the energy costs.The direct impacts of climate change on winter wheat grown in the East of England, would be a reduction in the rainfed yield (between − 5.4% and − 32.9%), stronger under the low emission scenario (B1). The projected economic losses from rainfed winter wheat production are expected to range between − 43.6% and − 100.0%. Irrigation could in the future be an adaptation measure for yield increase (10.5% to 64.3%), lower under B1 and to improve the financial appraisal of irrigation investment which would raise between 41 and 429 £ ha− 1. However, negative externalities are exacerbating pressures on air and water resources; an increase in irrigation water requirements between 25.0% and 39.1% increases global warming potential between 20.4% and 28.3%. Environmental indicators under scenario B1 performed better than the high emission scenario (A1). Finally, under future climate scenarios, the results confirmed that irrigated winter wheat grown on lighter soils using hose reel sprinkler systems fitted with a boom, is more sustainable than that grown on heavier soils using hose reel sprinkler systems fitted with a raingun.

ACS Style

Daniel El Chami; A. Daccache. Assessing sustainability of winter wheat production under climate change scenarios in a humid climate — An integrated modelling framework. Agricultural Systems 2015, 140, 19 -25.

AMA Style

Daniel El Chami, A. Daccache. Assessing sustainability of winter wheat production under climate change scenarios in a humid climate — An integrated modelling framework. Agricultural Systems. 2015; 140 ():19-25.

Chicago/Turabian Style

Daniel El Chami; A. Daccache. 2015. "Assessing sustainability of winter wheat production under climate change scenarios in a humid climate — An integrated modelling framework." Agricultural Systems 140, no. : 19-25.

Journal article
Published: 13 July 2015 in Water Policy
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The economy of Apulia Region largely depends on agriculture but the scarce water resources are the main factor threatening the sustainable production of this sector. This paper describes a geographical information system (GIS) based water balance tool that integrates maps of crops, climate and soil parameters with various scenarios of cropping pattern and farming practice changes. The aim is to assess the implication of these scenarios on the spatial and volumetric water needs of the region's irrigated agriculture. The total net volumetric irrigation needs, under current land use and full irrigation practices, were estimated on an average year to be 973 million m3. The deficit irrigation practices currently used in Capitanata water districts can save a volume of 302 million m3 if they are extrapolated over the entire region. Based on the Common Agricultural Policy (CAP), a replacement of 30% of the actual tomato areas in Foggia Province with sunflowers (energy crop) or durum wheat (rainfed crop) has potential water saving of 9 million m3 and 67 million m3, respectively. An additional 103 million m3 of water saving may be obtained through modernisation of the vineyards' growing practices. Findings of this paper could be used to address the agricultural policies towards a sustainable use of the scarce fresh water.

ACS Style

André Daccache; Daniela D'agostino; Nicola Lamaddalena; Daniel El Chami. A decision tool for sustainable agricultural policies: the case of water saving scenarios for Apulia Region (Southern Italy). Water Policy 2015, 18, 126 -142.

AMA Style

André Daccache, Daniela D'agostino, Nicola Lamaddalena, Daniel El Chami. A decision tool for sustainable agricultural policies: the case of water saving scenarios for Apulia Region (Southern Italy). Water Policy. 2015; 18 (1):126-142.

Chicago/Turabian Style

André Daccache; Daniela D'agostino; Nicola Lamaddalena; Daniel El Chami. 2015. "A decision tool for sustainable agricultural policies: the case of water saving scenarios for Apulia Region (Southern Italy)." Water Policy 18, no. 1: 126-142.

Research article
Published: 01 June 2015 in Outlook on Agriculture
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Estimates of the magnitude and location of future irrigation demand are essential for strategic planning of water resources at national and regional levels. However, demand forecasting is fraught with difficulty, as water use for supplementary irrigation is highly sensitive to changes in agro-economic policy, climate and future water resources availability. Short-term forecasts are normally based on existing trends, modified by any expected variations. Following a long period of growth, the volume of water being abstracted for irrigation in England and Wales appears to be in decline. After allowing for annual weather variations, the underlying decline in dry year demand was −1.4% per annum from 1990 to 2010. Extrapolating these trends forward suggests a further reduction of around one-quarter (−25%) by 2030. However longer-term forecasts (to the 2050s) need to consider alternative possible futures. The authors used a combination methodology to incorporate changes in population demographics, consumption and consumer preferences under a range of socioeconomic policies for four defined socioeconomic futures. The projected changes in ‘unconstrained’ demand in a dry year ranged from +40% to +167% by the 2050s; ‘actual’ water use will be constrained by water availability and allocation policy, which itself may lead to a relocation of demand. Combined with a probable decline in low-flow (summer) water availability, this indicates major future water resource issues. The figures need to be interpreted with caution as they are sensitive to model input values, and ignore impacts of step-change genetic improvements and the effects of changing CO2 concentrations on crop growth. The differences between forecasts also highlight the sensitivity to assumptions and the potential impact of deeper-seated changes on current trends. Some policy options and potential adaptations are discussed.

ACS Style

Keith Weatherhead; Jerry Knox; Tim Hess; Andre Daccache. Exploring Irrigation Futures. Outlook on Agriculture 2015, 44, 119 -126.

AMA Style

Keith Weatherhead, Jerry Knox, Tim Hess, Andre Daccache. Exploring Irrigation Futures. Outlook on Agriculture. 2015; 44 (2):119-126.

Chicago/Turabian Style

Keith Weatherhead; Jerry Knox; Tim Hess; Andre Daccache. 2015. "Exploring Irrigation Futures." Outlook on Agriculture 44, no. 2: 119-126.

Journal article
Published: 09 February 2015 in Progress in Physical Geography: Earth and Environment
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Climate change is expected to modify rainfall, temperature and catchment hydrological responses across the world, and adapting to these water-related changes is a pressing challenge. This paper reviews the impact of anthropogenic climate change on water in the UK and looks at projections of future change. The natural variability of the UK climate makes change hard to detect; only historical increases in air temperature can be attributed to anthropogenic climate forcing, but over the last 50 years more winter rainfall has been falling in intense events. Future changes in rainfall and evapotranspiration could lead to changed flow regimes and impacts on water quality, aquatic ecosystems and water availability. Summer flows may decrease on average, but floods may become larger and more frequent. River and lake water quality may decline as a result of higher water temperatures, lower river flows and increased algal blooms in summer, and because of higher flows in the winter. In communicating this important work, researchers should pay particular attention to explaining confidence and uncertainty clearly. Much of the relevant research is either global or highly localized: decision-makers would benefit from more studies that address water and climate change at a spatial and temporal scale appropriate for the decisions they make.

ACS Style

Glenn Watts; Richard W. Battarbee; John Bloomfield; Jill Crossman; Andre Daccache; Isabelle Durance; J. Alex Elliott; Grace Garner; Jamie Hannaford; David Hannah; Tim Hess; Christopher Jackson; Alison Kay; Martin Kernan; Jerry Knox; Jonathan Mackay; Don T. Monteith; Stephen J Ormerod; Jemima Rance; Marianne E. Stuart; Andrew J. Wade; Steven D. Wade; Edward Keith Weatherhead; Paul G. Whitehead; Robert L. Wilby. Climate change and water in the UK – past changes and future prospects. Progress in Physical Geography: Earth and Environment 2015, 39, 6 -28.

AMA Style

Glenn Watts, Richard W. Battarbee, John Bloomfield, Jill Crossman, Andre Daccache, Isabelle Durance, J. Alex Elliott, Grace Garner, Jamie Hannaford, David Hannah, Tim Hess, Christopher Jackson, Alison Kay, Martin Kernan, Jerry Knox, Jonathan Mackay, Don T. Monteith, Stephen J Ormerod, Jemima Rance, Marianne E. Stuart, Andrew J. Wade, Steven D. Wade, Edward Keith Weatherhead, Paul G. Whitehead, Robert L. Wilby. Climate change and water in the UK – past changes and future prospects. Progress in Physical Geography: Earth and Environment. 2015; 39 (1):6-28.

Chicago/Turabian Style

Glenn Watts; Richard W. Battarbee; John Bloomfield; Jill Crossman; Andre Daccache; Isabelle Durance; J. Alex Elliott; Grace Garner; Jamie Hannaford; David Hannah; Tim Hess; Christopher Jackson; Alison Kay; Martin Kernan; Jerry Knox; Jonathan Mackay; Don T. Monteith; Stephen J Ormerod; Jemima Rance; Marianne E. Stuart; Andrew J. Wade; Steven D. Wade; Edward Keith Weatherhead; Paul G. Whitehead; Robert L. Wilby. 2015. "Climate change and water in the UK – past changes and future prospects." Progress in Physical Geography: Earth and Environment 39, no. 1: 6-28.