Persistent impact of spring floods on crop loss in U.S. Midwest

Shirzaei, Manoochehr; Khoshmanesh, M.; Ojha, Chandrakanta; Werth, Susanna; Kerner, Hannah; Carlson, Grace; Sherpa, Sonam Futi; Zhai, Guang; Lee, Jui-Chi

doi:10.1016/j.wace.2021.100392

Cited by 16 publications

(11 citation statements)

References 59 publications

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“…Previous researches have indicated that there is a significant association between flooded regions and plant green-up delay in the United States [70]. In this study, we also find periodical green-up delay of flood-stricken croplands in the middle and lower Yangtze and Huai Rivers, China.…”

Section: Characteristics Of the Recovered Croplandsupporting

confidence: 70%

“…Flood duration, also known as water persistence, has been widely used as an indicator to assess severity of flooding events [16,[70][71][72]. Long flooding or waterlogging duration has significant effects on stem characteristics [73] and causes more pressure on conducting timely agricultural recovery activities.…”

Section: Characteristics Of the Recovered Croplandmentioning

confidence: 99%

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Monitoring Post-Flood Recovery of Croplands Using the Integrated Sentinel-1/2 Imagery in the Yangtze-Huai River Basin

Zhang

et al. 2022

Remote Sensing

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The increasingly frequent flooding imposes tremendous and long-lasting damages to lives and properties in impoverished rural areas. Rapid, accurate, and large-scale flood mapping is urgently needed for flood management, and to date has been successfully implemented benefiting from the advancement in remote sensing and cloud computing technology. Yet, the effects of agricultural emergency response to floods have been limitedly evaluated by satellite-based remote sensing, resulting in biased post-flood loss assessments. Addressing this challenge, this study presents a method for monitoring post-flood agricultural recovery using Sentinel-1/2 imagery, tested in three flood-affected main grain production areas, in the middle and lower Yangtze and Huai River, China. Our results indicated that 33–72% of the affected croplands were replanted and avoided total crop failures in summer 2020. Elevation, flood duration, crop rotation scheme, and flooding emergency management affect the post-flood recovery performance. The findings also demonstrate rapid intervention measures adjusted to local conditions could reduce the agricultural failure cost from flood disasters to a great extent. This study provides a new alternative for comprehensive disaster loss assessment in flood-prone agricultural regions, which will be insightful for worldwide flood control and management.

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Section: Characteristics Of the Recovered Croplandsupporting

confidence: 70%

Section: Characteristics Of the Recovered Croplandmentioning

confidence: 99%

Monitoring Post-Flood Recovery of Croplands Using the Integrated Sentinel-1/2 Imagery in the Yangtze-Huai River Basin

Zhang

et al. 2022

Remote Sensing

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“…Additionally, the existence of a water-impermeable subsurface solid layer tends to disrupt the growth of field crops by preventing the extension of plant roots below the soil surface, as well as impeding the capability of palm trees to elongate vertically, and impeding the processes of subsurface drainage. In a similar manner, Shirzaei et al [24] indicated the importance of studying the effect of floods on crop loss in the American Midwest through Earth observation satellite data and showed that over the past 70 years, 43% of large spring discharges were associated with widespread crop losses. Consequently, the soil determinants, limitations, and undesirable effects on this farmland, as well as similar farmlands that have the same soil conditions, can be reduced or even overcome by considering the following general suggestions that could positively affect soil properties and soil water availability for crops in either arid or semiarid soil conditions:…”

Section: Discussionmentioning

confidence: 90%

Evaluation of Soil Characteristics for Agricultural Machinery Management and Cropping Requirements in AL Aflaj Oasis, Saudi Arabia

Al-Dosary

2022

Sustainability

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Saudi Arabia’s topographic features have great significance and impact on the diversity of physical environments for plant growth and agricultural activities. Cultivated land is at a premium in Saudi Arabia, and soil evaluation is increasingly important. Thus, the intended purpose of this investigation was to determine both the genesis and soil properties to improve the management of arid soil, which is represented by Al-Aflaj Oasis, during tillage operations. The parameters of this research output were the soil’s chemical and physical properties. Data were collected from field experiments by drilling and evaluating soil profiles using soil sampling tools. This study classified the soil of Al Aflaj Oasis, which is a part of the Najd Plateau. It analyzed the soil profile, the failure to provide nutrients for agricultural production, and the impact of spring floods, modern equipment, fertilizer management, and irrigation methods on agricultural prospects. Topographic and geological maps provided the origin of the soils in the area. The morphological description included measurements and characterization of soil horizons and boundaries, moisture status, soil texture, construction, cohesion, estimation of calcium carbonate, and other morphological phenomena. Laboratory analysis measured the soil particle size, soluble salts, calcium carbonate, organic material, electrical conductivity, and percentages of silt, clay, and sand. The soil was deep, with a coarse texture characterized as sandy to sandy clay; the gravel content ranged from 19.70 to 62.50%, with a cohesive structure at the bottom of the soil profile and slight cohesion at the surface. The soil had low organic matter content, and a hard layer of calcium existed at a depth of 100 cm. The soil was classified as arable land within a subgroup of Typic Haplocalcids. Chemical analysis showed low salinity, slight alkalinity, and high calcium carbonate (22–64%). The soil underwent a historical transformation. To enhance agricultural potential, the chemical and physical properties need adjustment by introducing organic matter, intensive deep cultivation, diversification of agricultural fertilizers, and careful irrigation management. Since recent cultivation has been limited to a depth of 100 cm, the hard calcium carbonate layer should be considered carefully. Future crop cultivation should include deep plowing (e.g., chisel and furrow plows) to fragment the solid soil structure and facilitate suitable farming practices, and the growth of plants in the lands affected by the ancient overflows of the Al Aflaj springs, such as the Al Aflaj Oasis, can be made productive and consistent with other agricultural areas.

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“…2 e,f). This contributed to total losses from the whole flood event of over $20 Billion 51 . Figure 2 e shows the spatial impacts of these losses.…”

Section: Observed Progression Of 2019 Mississippi Basin Flood Eventmentioning

confidence: 99%

Interconnected hydrologic extreme drivers and impacts depicted by remote sensing data assimilation

Lahmers

Kumar

Locke

et al. 2023

Sci Rep

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Hydrologic extremes often involve a complex interplay of several processes. For example, flood events can have a cascade of impacts, such as saturated soils and suppressed vegetation growth. Accurate representation of such interconnected processes while accounting for associated triggering factors and subsequent impacts of flood events is difficult to achieve with conceptual hydrological models alone. In this study, we use the 2019 flood in the Northern Mississippi and Missouri Basins, which caused a series of hydrologic disturbances, as an example of such a flood event. This event began with above-average precipitation combined with anomalously high snowmelt in spring 2019. This series of anomalies resulted in above normal soil moisture that prevented crops from being planted over much of the corn belt region. In the present study, we demonstrate that incorporating remote sensing information within a hydrologic modeling system adds substantial value in representing the processes that lead to the 2019 flood event and the resulting agricultural disturbances. This remote sensing data infusion improves the accuracy of soil moisture and snowmelt estimates by up to 16% and 24%, respectively, and it also improves the representation of vegetation anomalies relative to the reference crop fraction anomalies.

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Persistent impact of spring floods on crop loss in U.S. Midwest

Cited by 16 publications

References 59 publications

Monitoring Post-Flood Recovery of Croplands Using the Integrated Sentinel-1/2 Imagery in the Yangtze-Huai River Basin

Monitoring Post-Flood Recovery of Croplands Using the Integrated Sentinel-1/2 Imagery in the Yangtze-Huai River Basin

Evaluation of Soil Characteristics for Agricultural Machinery Management and Cropping Requirements in AL Aflaj Oasis, Saudi Arabia

Interconnected hydrologic extreme drivers and impacts depicted by remote sensing data assimilation

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