Heidi Webber

Heidi Webber
Leibniz Centre for Agricultural Landscape Research | ZALF · Research Area 3 “Agricultural Landscape Systems"

PhD

About

100
Publications
54,574
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2,523
Citations
Additional affiliations
January 2004 - April 2008
McGill University
Position
  • PhD Student

Publications

Publications (100)
Article
Climate change will severely influence the yield, production and water demand of processing tomatoes. Atmospheric CO2 concentration may offset, but not fully compensate, the adverse effects of elevated temperatures.
Article
Climate change scenarios predict an increased occurrence of droughts and heatwaves, as well as extreme rainfall events in Central Europe. Alley cropping, which is the inclusion of rows of trees and shrubs in agricultural land, could enhance the resilience of cropping systems, as these systems are expected to positively modify the microclimate and w...
Article
A c c e p t e d M a n u s c r i p t 3 Highlight An ensemble of 29 wheat crop models simulates seasonal wheat growth well under locally recommended sowing conditions, but needs improvements to capture the yield response to early sowing, especially under high sowing density. Abstract Crop multi-model ensembles (MME) have proven to be effective in inc...
Article
Intensive agriculture in Germany is not only highly productive but has also led to detrimental effects in the environment. Crop diversification together with new field arrangements considering soil heterogeneities can be an alternative to improve resource use efficiency (RUE), ecosystem services (ESS), and biodiversity. Agroecosystem models are too...
Article
Full-text available
Global food security requires food production to be increased in the coming decades. The closure of any existing genetic yield gap (Yig) by genetic improvement could increase crop yield potential and global production. Here we estimated present global wheat Yig, covering all wheat-growing environments and major producers, by optimizing local wheat...
Article
Crop multi-model ensembles (MME) have proven to be effective in increasing the accuracy of simulations in modelling experiments. However, the ability of a MME to capture crop response to changes in sowing dates and densities has not yet been investigated. These management interventions are some of the main levers for adapting cropping systems to cl...
Article
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This study investigates the main drivers of uncertainties in simulated irrigated maize yield under historical conditions as well as scenarios of increased temperatures and altered irrigation water availability. Using APSIM, MONICA, and SIMPLACE crop models, we quantified the relative contributions of three irrigation water allocation strategies, th...
Article
Full-text available
In social-ecological systems, natural resource management can be characterized by trade-offs across sectors and sustainability targets. The water-energy-food (WEF) nexus concept makes explicit various trade-offs in order to maximize synergies of interventions. However, there are few successful examples of its operationalization in research settings...
Article
Provisioning a sufficient stable source of food requires sound knowledge about current and upcoming threats to agricultural production. To that end machine learning approaches were used to identify the prevailing climatic and soil hydrological drivers of spatial and temporal yield variability of four crops, comprising 40 years yield data each from...
Article
Drought is a serious constraint to crop growth and production of important staple crops such as winter wheat and maize. Improved understanding of crops' response to drought can be incorporated into cropping system models to support crop breeding, crop and varietal selection and management decisions to minimize negative impacts. Plants may respond t...
Article
Full-text available
Potential climate-related impacts on future crop yield are a major societal concern. Previous projections of the Agricultural Model Intercomparison and Improvement Project’s Global Gridded Crop Model Intercomparison based on the Coupled Model Intercomparison Project Phase 5 identified substantial climate impacts on all major crops, but associated u...
Article
Sustainable intensification (SI) of agriculture is a promising strategy for boosting the capacity of the agricultural sector to meet the growing demands for food and non-food products and services in a sustainable manner. Assessing and quantifying the options for SI remains a challenge due to its multiple dimensions and potential associated trade-o...
Article
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Wheat production in Brazil is insufficient to meet domestic demand and falls drastically in response to adverse climate events. Multiple, agro-climate-specific regression models, quantifying regional production variability, were combined to estimate national production based on past climate, cropping area, trend-corrected yield, and national commod...
Article
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While the understanding of average impacts of climate change on crop yields is improving, few assessments have quantified expected impacts on yield distributions and the risk of yield failures. Here we present the relative distribution as a method to assess how the risk of yield failure due to heat and drought stress (measured in terms of return pe...
Article
Full-text available
Crop models were originally developed for application at the field scale but are increasingly used to assess the impact of climate and/or agronomic practices on crop growth and yield and water dynamics at larger scales. This raises the question of how data aggregation approaches affect outputs when using crop models at large spatial scales. This st...
Preprint
Many open questions and unresolved issues surround the topic of bias correction (BC) in climate change impact studies (CCIS). One question relates to the contribution of downscaling of climate change scenarios on the uncertainties in results obtained using impact models for agriculture. In particular, for large area or regional agricultural impact...
Article
Full-text available
Plant responses to rising atmospheric carbon dioxide (CO2) concentrations, together with projected variations in temperature and precipitation will determine future agricultural production. Estimates of the impacts of climate change on agriculture provide essential information to design effective adaptation strategies, and develop sustainable food...
Conference Paper
Full-text available
Crop yield can be affected by crop water use (evapotranspiration, ET) and vice versa, so when trying to simulate one or the other, it can be important to simulate both well. To determine how well maize growth models can simulate ET, an initial inter-comparison study was conducted under the umbrella of AgMIP (Agricultural Model Inter-Comparison and...
Preprint
Full-text available
Potential climate-related impacts on future crop yield are a major societal concern first surveyed in a harmonized multi-model effort in 2014. We report here on new 21st-century projections using ensembles of latest-generation crop and climate models. Results suggest markedly more pessimistic yield responses for maize, soybean, and rice compared to...
Article
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Large-scale crop yield failures are increasingly associated with food price spikes and food insecurity and are a large source of income risk for farmers. While the evidence linking extreme weather to yield failures is clear, consensus on the broader set of weather drivers and conditions responsible for recent yield failures is lacking. We investiga...
Article
The sustainable intensification of crop production in West Africa is constrained by soil degradation exacerbated by climatic factors such as excessive rainfall and high temperature. Adoption of climate-smart soil and crop management practices could buffer future extreme weather effects on maize yield. To test this hypothesis, the overarching aim of...
Article
Full-text available
The simulated data set described in this paper was created by an ensemble of nine different crop models: HERMES (HE), Simplace<Lintul5,Slim3, FAO-56 ET0> (L5), SiriusQuality (SQ), MONICA (MO), Sirius2014 (S2), FASSET (FA), 4M (4M), SSM (SS), DSSAT-CSM IXIM (IX). Simulations were performed for grain maize (six models) and winter wheat (eight models)...
Article
Full-text available
Smallholder farmers in sub‐Saharan Africa (SSA) currently grow rainfed maize with limited inputs including fertilizer. Climate change may exacerbate current production constraints. Crop models can help quantify the potential impact of climate change on maize yields, but a comprehensive multi‐model assessment of simulation accuracy and uncertainty i...
Article
Early vigour in wheat is a trait that has received attention for its benefits reducing evaporation from the soil surface early in the season. However, with the growth enhancement common to crops grown under elevated atmospheric CO2 concentrations (e[CO2]), there is a risk that too much early growth might deplete soil water and lead to more severe t...
Article
Achieving food and nutrition security for all in a changing and globalized world remains a critical challenge of utmost importance. The development of solutions benefits from insights derived from modelling and simulating the complex interactions of the agri-food system, which range from global to household scales and transcend disciplinary boundar...
Chapter
Crop models are powerful tools to explore agricultural impacts and adaptation to climate change. They are extensively used to predict the effect of climate change on agriculture. In this chapter, the authors review how crop models take into consideration climate variables and how they are used for climate change impact assessment studies, leading t...
Article
Input data aggregation affects crop model estimates at the regional level. Previous studies have focused on the impact of aggregating climate data used to compute crop yields. However, little is known about the combined data aggregation effect of climate (DAEc) and soil (DAEs) on irrigation water requirement (IWR) in cool-temperate and spatially he...
Presentation
Full-text available
Input data aggregation influences crop model estimates at the regional level. Previous studies have focused on the impact of aggregating the climate data used to compute crop yields. Little is known about the combined data aggregation effect of climate (DAEc) and soil (DAEs) model inputs. This study explores the implications of using coarse resolut...
Chapter
Climate changes will bring average warmer temperatures, elevated atmospheric CO2 and more frequent extreme weather events. These are expected to result in impacts on crop growth and cropping systems. However, traditional field and controlled environment experiments are limited in studying climate change impacts on crops due to the very large number...
Article
Nitrogen (N) fertilizers applied to agricultural lands are often lost due to improper management practices. It is important to manage applied N fertilizers efficiently in order to promote sustainable crop production. In a two year (2013–2014) on-farm trial in the Sudan savanna of Benin (Dassari village) and Burkina-Faso (Dano village), we assessed...
Conference Paper
Full-text available
Most soils in West Africa are acutely deficient in Phosphorus (P); therefore, sustainable P management is important in order to restore their capacity to supply adequate P, improve crop P use efficiency, and sustain crop production. Thus, we investigated the impacts of alternative management practices on soil available phosphorus (Pcal), soil P bal...
Conference Paper
Loss of topsoil is one of the major impediments to sustainable crop production in West Africa. On-farm trials were set up as a strip-split plot layout, with tillage [contour ridge (Ct), and reduced tillage (Rt)] as main-plot factor, and crop residue management [with (+R) and without (-R)], and N fertilizer [control (N0) and recommended rate (Nr)] a...
Article
Crop yield can be affected by crop water use and vice versa, so when trying to simulate one or the other, it can be important that both are simulated well. In a prior inter-comparison among maize growth models, evapo-transpiration (ET) predictions varied widely, but no observations of actual ET were available for comparison. Therefore, this follow-...
Article
Soil-crop models are used to simulate ecological processes from the field to the regional scale. Main inputs are soil and climate data in order to simulate model response variables such as crop yield. We investigate the effect of changing the resolution of input data on simulated crop yields at a regional scale using up to ten dynamic crop models....
Article
Efforts to limit global warming to below 2°C in relation to the pre‐industrial level are under way, in accordance with the 2015 Paris Agreement. However, most impact research on agriculture to date has focused on impacts of warming >2°C on mean crop yields, and many previous studies did not focus sufficiently on extreme events and yield interannual...
Article
Agriculture is a critical element of the West African Sudan Savanna's economy and the main livelihood strategy for many people, where food insecurity and poverty are widespread. Low soil fertility, high intra and inter-annual rainfall variability together with limited ability to invest in new technologies are among the major constraints to the pred...
Article
Full-text available
Understanding the drivers of yield levels under climate change is required to support adaptation planning and respond to changing production risks. This study uses an ensemble of crop models applied on a spatial grid to quantify the contributions of various climatic drivers to past yield variability in grain maize and winter wheat of European cropp...
Article
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Wheat grain protein concentration is an important determinant of wheat quality for human nutrition that is often overlooked in efforts to improve crop production. We tested and applied a 32‐multi‐model ensemble to simulate global wheat yield and quality in a changing climate. Potential benefits of elevated atmospheric CO2 concentration by 2050 on g...
Article
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Weather observations are essential for crop monitoring and forecasting but they are not always available and in some cases they have limited spatial representativeness. Thus, reanalyses represent an alternative source of information to be explored. In this study, we assess the feasibility of reanalysis-based crop monitoring and forecasting by using...
Article
Full-text available
The data set contains daily time-step observed and scenario climate data on a European grid with 25 km x 25 km spatial resolution and is intended to be used for crop modelling applications. The dataset covers the period 1980-2010 for observations (for a baseline period of 1981-2010 and the year 1980 for crop model simulations with sowing dates in t...
Conference Paper
Full-text available
Future climate change is expected to challenge efforts to improve crop productivity in Sub-Saharan Africa (SSA). In general, arable farming is dominated by low-input systems, though the region's cropping systems and climate conditions are spatially highly diverse ranging from extensive shifting cultivation and fallow systems to quasi-permanent crop...
Article
Crop models are useful tools to investigate climate change impacts and suitable adaptations strategies on crops. In order to evaluate the impact of climate change on peanut yield in Senegal, a solution of the SIMPLACE crop modelling framework using the Lintul5 crop model together with a Tc model and FAO-56 based approach to simulate evapotranspirat...
Article
Full-text available
Abstract To reduce the risks of climate change, governments agreed in the Paris Agreement to limit global temperature rise to less than 2.0°C above pre-industrial levels, with the ambition to keep warming to 1.5°C. Charting appropriate mitigation responses requires information on the costs of mitigating versus associated damages for the two levels...
Article
Despite widespread application in studying climate change impacts, most crop models ignore complex interactions among air temperature, crop and soil water status, CO2 concentration and atmospheric conditions that influence crop canopy temperature. The current study extended previous studies by evaluating Tc simulations from nine crop models at six...
Preprint
Nendel 38 | Jørgen Eivind Olesen 37 | Taru Palosuo 44 | John R. Porter 42,45,46 | Eckart Priesack 39 | Dominique Ripoche 47 | Mikhail A. Semenov 48 | Claudio Stöckle 17 | Pierre Stratonovitch 48 | Thilo Streck 33 | Iwan Supit 49 | Fulu Tao 50,44
Chapter
An experiment managed by an on-farm researcher was conducted in Sudan Savanna of three West African countries, Ghana (Vea), Benin Republic (Dassari), and Burkina Faso (Dano), in 2012. The experiment evaluated the effects of tillage practices and nitrogen fertilizer regimes on the yield of short-season maize Dorke SR variety for two landscape positi...
Article
Impacts of climate change on European agricultural production, land use and the environment depend on its impact on crop yields. However, many impact studies assume that crop management remains unchanged in future scenarios, while farmers may adapt their sowing dates and cultivar thermal time requirements to minimize yield losses or realize yield g...
Conference Paper
Full-text available
Decline in agricultural production due to the growing population and soil degradation has become a major concern in Sudan Savannah as it threatens food security that reportedly will trigger a change in food habits as well as demanding even more food. Therefore, it is important to check soil degradation in order to ensure a sustainable production sy...
Article
Full-text available
Climate change will increase the number and severity of heat waves which may negatively affect crop yields. Here we show for wheat and maize across Europe that heat stress is considerably reduced by irrigation due to surface cooling for both current and projected future climate. We demonstrate that crop heat stress impact assessments should be base...
Article
Full-text available
The effects of fertilization rate and water availability on peanut growth and yield of two cultivars were investigated in a series of field experiments at Bambey, Nioro and Sinthiou Malem in Senegal. Both rainy and dry season experiments were conducted over two years between 2014 and 2015, for a total of seven experiments. The first set of four exp...