Developing stage-specific drought vulnerability curves for maize: The case study of the Po River basin

Monteleone, Beatrice; Borzì, Iolanda; Bonaccorso, Brunella; Martina, Mario

doi:10.1016/j.agwat.2022.107713

Cited by 24 publications

(14 citation statements)

References 39 publications

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“…Thus, f s ranges from 0 to 1 too [54]. APSIM and WOFOST are used to retrieve the potential yield Y P , which is the yield in the absence of any crop stress [58], f s = 1, and the reduced yield Y R , which is the yield in the presence of a flood event, i.e., accounting for waterlogging. In this latter case we assumed f T = f N = 1; thus, there is no stress due to temperature or nitrogen deficiency present, only the oxygen stress due to waterlogging, f O , is considered.…”

Section: Field-scale Estimation Through Crop Modelsmentioning

confidence: 99%

Estimations of Crop Losses Due to Flood Using Multiple Sources of Information and Models: The Case Study of the Panaro River

Monteleone

Giusti

Magnini

et al. 2023

Water

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Floods and droughts are the events that most threaten crop production; however, the impact of floods on crops is still not fully understood and often under-reported. Nowadays, multiple sources of information and approaches support the estimation of agricultural losses due to floods. This study aims to understand the differences in agricultural loss estimates provided by two conceptually different approaches (crop models and expert-based models), evaluating their sensitivity to flood hazard inputs. We investigated the challenges in flood agricultural loss assessments referring to a case study for which, in addition to model simulations, information from surveys and on-site inspections were available. Two crop models (APSIM and WOFOST) and the expert-based model AGRIDE-c were applied to evaluate agricultural yield losses after the flood event of the Panaro River (Emilia-Romagna, Northern Italy) that took place on the 6 December 2020. Two modelling tools were used to reproduce the event: the hydraulic model HEC-RAS and the image-based tool FwDET. Additionally, surveys among local farmers were conducted in the aftermath of the event to evaluate the flood features (water depth, extent and duration) and crop losses. The main findings of the study are that APSIM and WOFOST provide similar estimates of yield losses, while AGRIDE-c tends to underestimate yield losses when the losses over the entire study area are evaluated. The choice of the flood simulation technique does not influence the loss estimation since the difference between the yield loss estimates retrieved from the same model initialized with HEC-RAS or FwDET was always lower than 2%. Information retrieved from the surveys was not sufficient to validate the damage estimates provided by the models but could be used to derive a qualitative picture of the event. Therefore, further research is needed to understand how to effectively incorporate this kind of information in agricultural loss estimation.

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Section: Field-scale Estimation Through Crop Modelsmentioning

confidence: 99%

Estimations of Crop Losses Due to Flood Using Multiple Sources of Information and Models: The Case Study of the Panaro River

Monteleone

Giusti

Magnini

et al. 2023

Water

Self Cite

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“…Vulnerability curves were constructed based on the relationship between the intensity of water stress and yield loss rate [24][25][26]48]. In the metric of the vulnerability curve, the y-axis is typically represented by a fraction of the loss or damage component (0-100%), and the x-axis is represented by the crop water stress index.…”

Section: Derivation Of the Vulnerability Curvesmentioning

confidence: 99%

“…To effectively distribute a limited amount of water during the irrigation season, it is necessary to use a methodology that can anticipate how future climatic conditions will affect crop growth and provide guidance on water distribution during the growth period. Several crop growth models, such as APSIM [24], AquaCrop [25,26], EPIC [27], CERES [28], and DSSAT [29], have been utilized in research focusing on the effects of climate variability and agricultural field vulnerability, resulting in the development of vulnerability curves. In this context, vulnerability curves express physical vulnerability by illustrating the relationship between the intensity of the process (i.e., threat) and the potential degree of loss of exposed elements (e.g., a particular type of crop) [30].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Vulnerability of Maize Crop Productivity to Precipitation Anomalies: A Case Study in the Semiarid Region of Cesar, Colombia

Terán-Chaves,

Duarte-Carvajalino,

Ipaz-Cuastumal

et al. 2023

Water

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Climate variability is a major threat to maize (Zea mays) crops in Colombia, posing a risk to food security and compliance with Sustainable Development Goals. Therefore, this study aimed to assess the physical vulnerability of maize crops to climate variability in the semi-arid region of the Department of Cesar, Colombia, using the AquaCrop-OS model. Specifically, the study evaluated the vulnerability of maize crops to three typical meteorological years (dry, intermediate, and wet) adjusted to the growth cycle in two semesters of the year (periods I and II). An analysis of 43 years of data (1980–2022) revealed that most years in the area can be classified as intermediate, whereas the number of wet years was higher than the number of dry years. However, under the intermediate typical meteorological year scenario, maize cultivation in the department of Cesar experienced severe drought conditions during periods I and II. The study’s vulnerability curve showed an increasing rate within the yield loss index when the average water stress index was between 0.5 and 0.8 for period I. The rate of increase slowed when the index exceeded 0.9. For period II, the maize crop presented a lower degree of vulnerability, with 64% of the area experiencing a yield loss rate between 5% and 30%. The study also determined the required irrigation depth of water for optimal yields, which ranged from 70 to 160 mm during the growing season for all maize crop scenarios in the Department of Cesar. The results of this study can contribute to the consolidation of a database of physical vulnerability and threats of precipitation anomalies on regional and national scales. Overall, this study’s evaluation of the physical vulnerability of maize crops can help producers develop better strategies to mitigate the impacts of climate variability and ensure regional food security.

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“…Maize production plays an increasingly important role in food security and economic development. In modern society, the maize yields have achieved significant increase, but the productions at all stages of plant growth are still threatened globally by drought or water shortage (Monteleone et al, 2022; Shen et al, 2020). Maize germination, emergence, seedling establishment, vegetative growth and development, and reproductive growth are sensitive to drought stress.…”

Section: Introductionmentioning

confidence: 99%

Differential roles of abscisic acid in maize roots in the adaptation to soil drought

Qian²,

et al. 2023

Food and Energy Security

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Developing stage-specific drought vulnerability curves for maize: The case study of the Po River basin

Cited by 24 publications

References 39 publications

Estimations of Crop Losses Due to Flood Using Multiple Sources of Information and Models: The Case Study of the Panaro River

Estimations of Crop Losses Due to Flood Using Multiple Sources of Information and Models: The Case Study of the Panaro River

Assessing the Vulnerability of Maize Crop Productivity to Precipitation Anomalies: A Case Study in the Semiarid Region of Cesar, Colombia

Differential roles of abscisic acid in maize roots in the adaptation to soil drought

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