Ehsan Eyshi Rezaei
A5102881397- Climate change impacts on agriculture
- Crop Yield and Soil Fertility
- Plant responses to elevated CO2
- Hydrology and Drought Analysis
- Remote Sensing in Agriculture
- Greenhouse Technology and Climate Control
- Plant Water Relations and Carbon Dynamics
- Rice Cultivation and Yield Improvement
- Climate variability and models
- Agronomic Practices and Intercropping Systems
- Smart Agriculture and AI
- Wheat and Barley Genetics and Pathology
- Irrigation Practices and Water Management
- Agricultural risk and resilience
- Remote Sensing and LiDAR Applications
- Soil Carbon and Nitrogen Dynamics
- Agricultural Economics and Policy
- Agroforestry and silvopastoral systems
- Hydrology and Watershed Management Studies
- Genetics and Plant Breeding
- Land Use and Ecosystem Services
- Ionosphere and magnetosphere dynamics
- Geophysics and Gravity Measurements
- Bioenergy crop production and management
- Flood Risk Assessment and Management
Leibniz Centre for Agricultural Landscape Research
2020-2024
University of Bonn
2013-2023
University of Göttingen
2018-2023
Islamic Azad University, Tehran
2023
Institute of Crop Science
2016-2018
Natural Resources Institute Finland
2017
Islamic Azad University of Varamin
2017
Iran University of Science and Technology
2017
Ferdowsi University of Mashhad
2011-2014
"Ion Ionescu de la Brad" Iasi University of Life Sciences
2011
Wheat grain protein concentration is an important determinant of wheat quality for human nutrition that often overlooked in efforts to improve crop production. We tested and applied a 32-multi-model ensemble simulate global yield changing climate. Potential benefits elevated atmospheric CO2 by 2050 on are likely be negated impacts from rising temperature changes rainfall, but with considerable disparities between regions. Grain yields expected lower more variable most low-rainfall regions,...
Abstract. Droughts continue to affect ecosystems, communities and entire economies. Agriculture bears much of the impact, in many countries it is most heavily affected sector. Over past decades, efforts have been made assess drought risk at different spatial scales. Here, we present for first time an integrated assessment both irrigated rainfed agricultural systems global scale. Composite hazard indicators were calculated separately using indices based on historical climate conditions...
Increasing crop productivity while simultaneously reducing the environmental footprint of production is considered a major challenge for coming decades. Even short episodes heat stress can reduce yield considerably causing low resource use efficiency. Studies on impact yields over larger regions generally rely temperatures measured by standard weather stations at 2 m height. Canopy in this study field plots rye were up to 7 °C higher than air temperature typical station height with...
The regular drought episodes in South Africa highlight the need to reduce risk by both policy and local community actions. Environmental socioeconomic factors Africa's agricultural system have been affected past, creating cascading pressures on nation's agro-economic water supply systems. Therefore, understanding key drivers of all components through a comprehensive assessment must be undertaken order inform proactive management. This paper presents, for first time, national irrigated...
Efforts to limit global warming below 2°C in relation the pre-industrial level are under way, accordance with 2015 Paris Agreement. However, most impact research on agriculture date has focused impacts of >2°C mean crop yields, and many previous studies did not focus sufficiently extreme events yield interannual variability. Here, latest climate scenarios from Half a degree Additional warming, Prognosis Projected Impacts (HAPPI) project, we evaluated Agreement range (1.5 2.0°C above period)...
A recent innovation in assessment of climate change impact on agricultural production has been to use crop multimodel ensembles (MMEs). These studies usually find large variability between individual models but that the ensemble mean (e-mean) and median (e-median) often seem predict quite well. However, few have specifically concerned with predictive quality those predictors. We ask what is e-mean e-median, how does depend characteristics. Our empirical results are based five MME applied...
Abstract Changing crop phenology is considered an important bio-indicator of climate change, with the recent warming trend causing advancement in phenology. Little known about contributions changes sowing dates and cultivars to long-term trends phenology, particularly for winter crops such as wheat. Here, we analyze a (1952–2013) dataset phenological observations across western Germany from two-year field experiment directly compare phenologies wheat released between 1950 2006. We found...
Higher temperatures during the growing season are likely to reduce crop yields with implications for production and food security. The negative impact of heat stress has also been predicted increase even further cereals such as wheat under climate change. Previous empirical modeling studies have focused on magnitude frequency extreme events growth period but did not consider effect higher temperature phenology. Based an extensive set phenology observations Germany 1951–2009, interpolated 1 ×...
Unmanned aerial vehicle (UAV)-based multispectral remote sensing effectively monitors agro-ecosystem functioning and predicts crop yield. However, the timing of field campaigns can profoundly impact accuracy yield predictions. Little is known on effects phenological phases skills high-frequency observations used to predict maize It also unclear how much improvement be gained using multi-temporal compared mono-temporal data. We a systematic scheme address those gaps employing UAV at nine...
Abstract Wheat is the most widely grown food crop, with 761 Mt produced globally in 2020. To meet expected grain demand by mid-century, wheat breeding strategies must continue to improve upon yield-advancing physiological traits, regardless of climate change impacts. Here, best performing doubled haploid (DH) crosses an increased canopy photosynthesis from field experiments literature were extrapolated global scale a multi-model ensemble process-based crop models estimate production. The DH...
To address the rising global food demand in a changing climate, yield gaps (YG), difference between potential yields under irrigated (YP) or rainfed conditions (YWL) and actual farmers' (Ya), must be significantly narrowed whilst raising yields. Here, we examined likely impacts of climate change (including changes climatic variability) improvements agricultural technologies on crop gaps. Eight rigorously tested simulation models were calibrated for wheat maize run at 10 different sites...
Abstract Agricultural system analysis has considerably evolved over the last years, allowing scientists to quantify complex interactions in crops and agroecosystems. Computer-based models have become a central tool for such analysis, using formulated mathematical representations (algorithms) of different biophysical processes simulate system’s behaviour. Nevertheless, current large variety algorithms combination with nonstandardization their use limits rapid rigorous model improvement...
Optical unmanned aerial vehicle (UAV) remote sensing is widely prevalent to estimate crop aboveground biomass (AGB). Nevertheless, limited knowledge of the UAV flight height (mainly characterized by different image numbers and spatial resolutions) influences AGB estimation accuracy across diverse datasets machine/deep learning models. This study assessed impacts integration multiscale information on wheat estimation. The multispectral missions with 30, 60, 90, 120 m heights were conducted at...