Regional‐scale Assessment of Soil Salinity in the Red River Valley Using Multi‐year MODIS EVI and NDVI

Lobell, David B.; Lesch, Scott M.; Corwin, Dennis L.; Ulmer, M. G.; Anderson, K. A.; Potts, Dan J.; Doolittle, Jim; Matos, M. R.; Baltes, M. J.

doi:10.2134/jeq2009.0140

Cited by 143 publications

(132 citation statements)

References 12 publications

(14 reference statements)

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“…There has been considerable success in using ground-based geophysical measurements of the apparent soil electrical conductivity (EC a ) to assess salinity across individual fields, including the electrical resistivity (ER) or electromagnetic induction (EM) surveys (e.g., Corwin and Lesch 2003). However, even these methods are currently too time consuming to be applied cost-effectively at regional scales (Lobell et al 2010). Therefore, there is a need for the development of more practical (i.e., quicker and cheaper) methods and tools to determine and evaluate soil salinity in order to improve decision-making processes.…”

Section: Introductionmentioning

confidence: 99%

Modeling the effects of saline water use in wheat-cultivated lands using the UNSATCHEM model

2012

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Waters of poor quality are often used to irrigate crops in arid and semiarid regions, including the Fars Province of southwest Iran. The UNSATCHEM model was first calibrated and validated using field data that were collected to evaluate the use of saline water for the wheat crop. The calibrated and validated model was then employed to study different aspects of the salinization process and the impact of rainfall. The effects of irrigation water quality on the salinization process were evaluated using model simulations, in which irrigation waters of different salinity were used. The salinization process under different practices of conjunctive water use was also studied using simulations. Different practices were evaluated and ranked on the basis of temporal changes in rootzone salinity, which were compared with respect to the sensitivity of wheat to salinity. This ranking was then verified using published field studies evaluating wheat yield data for different practices of conjunctive water use. Next, the effects of the water application rate on the soil salt balance were studied using the UNSATCHEM simulations. The salt balance was affected by the quantity of applied irrigation water and precipitation/dissolution reactions. The results suggested that the less irrigation water is used, the more salts (calcite and gypsum) precipitate from the soil solution. Finally, the model was used to evaluate how the electrical conductivity of irrigation water affects the wheat production while taking into account annual rainfall and its distribution throughout the year. The maximum salinity of the irrigation water supply, which can be safely used in the long term (33 years) without impairing the wheat production, was determined to be 6 dS m -1 . Rainfall distribution also plays a major role in determining seasonal soil salinity of the root zone. Winter-concentrated rainfall is more effective in reducing salinity than a similar amount of rainfall distributed throughout autumn, winter, and spring seasons.

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Section: Introductionmentioning

confidence: 99%

Modeling the effects of saline water use in wheat-cultivated lands using the UNSATCHEM model

2012

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“…The intensity of spectral reflectance of high soil bulk density (compacted) soils was higher than for low density (non-compacted) soils due to changes in soil structure and porosity. Lobell et al (2009) found the multi-year average MODIS EVI coupled with local information captured one-third to one-half of the spatial variation of soil salinity. Rogovska and Blackmer (2009) described a significant correlation between Green-NDVI and soil acid (pH) and calcium carbonate equivalent in areas of the US Corn Belt.…”

Section: Soil-based Ecosystem Servicesmentioning

confidence: 96%

Remote sensing of ecosystem services: An opportunity for spatially explicit assessment

Feng

Yang

et al. 2010

Chin. Geogr. Sci.

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Ecosystem service is an emerging concept that grows to be a hot research area in ecology. Spatially explicit ecosystem service values are important for ecosystem service management. However, it is difficult to quantify ecosystem services. Remote sensing provides images covering Earth surface, which by nature are spatially explicit. Thus, remote sensing can be useful for quantitative assessment of ecosystem services. This paper reviews spatially explicit ecosystem service studies conducted in ecology and remote sensing in order to find out how remote sensing can be used for ecosystem service assessment. Several important areas considered include land cover, biodiversity, and carbon, water and soil related ecosystem services. We found that remote sensing can be used for ecosystem service assessment in three different ways: direct monitoring, indirect monitoring, and combined use with ecosystem models. Some plant and water related ecosystem services can be directly monitored by remote sensing. Most commonly, remote sensing can provide surrogate information on plant and soil characteristics in an ecosystem. For ecosystem process related ecosystem services, remote sensing can help measure spatially explicit parameters. We conclude that acquiring good in-situ measurements and selecting appropriate remote sensor data in terms of resolution are critical for accurate assessment of ecosystem services.

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“…Salinization can occur naturally, through aerosolization, deposition, or contact with sea salts in coastal locations [120], or through proximity to saline seeps, shallow water tables, and degradation of parent rock materials inland [121,122]. Alternatively, so-called "secondary salinization" occurs anthropogenically, as a result of replacing deep-rooted native vegetation with shallow-rooted crops and pasture or from adding irrigation water to soils [120,123].…”

Section: Salt Stressmentioning

confidence: 99%

Stress-Tolerant Feedstocks for Sustainable Bioenergy Production on Marginal Land

et al. 2015

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Given the mandated increases in fuel production from alternative sources, limited high-quality production land, and predicted climate changes, identification of stress-tolerant biomass crops will be increasingly important. However, existing literature largely focuses on the responses of a small number of crops to a single source of abiotic stress. Here, we provide a much-needed review of several types of stress likely to be encountered by biomass crops on marginal lands and under future climate scenarios: drought, flooding, salinity, cold, and heat. The stress responses of 17 leading biomass crops of all growth habits (e.g., perennial grasses, shortrotation woody crops, and large trees) are summarized, and we identify several that could be considered "all purpose" for multiple stress types. Importantly, we note that some of these crops are or could become invasive in some landscapes. Therefore, growers must take care to avoid dissemination of plants or propagules outside of cultivation.

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Regional‐scale Assessment of Soil Salinity in the Red River Valley Using Multi‐year MODIS EVI and NDVI

Cited by 143 publications

References 12 publications

Modeling the effects of saline water use in wheat-cultivated lands using the UNSATCHEM model

Modeling the effects of saline water use in wheat-cultivated lands using the UNSATCHEM model

Remote sensing of ecosystem services: An opportunity for spatially explicit assessment

Stress-Tolerant Feedstocks for Sustainable Bioenergy Production on Marginal Land

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