Analysis of surrogate indicators for evidence of subsurface preferential flow pathways: impact of subsurface preferential flow on variability of NDVI

Walthall, C. L.; Gish, T. J.; Chinkuyu, Adion J.; Dulaney, W.; Kaul, M. K.; Daughtry, Craig S. T.

doi:10.1109/igarss.2004.1370003

Cited by 1 publication

(1 citation statement)

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“…In dry years, there should be more time periods when plants above the flow pathway can receive ground water subsidy, whereas plants that are further from the pathways would be in less favorable conditions. This was demonstrated in the study of Walthall et al (2004), who determined the normalized difference vegetation index (NDVI) for corn fields, where subsurface preferential flow pathways were delineated, had higher NDVI values in the proximity of the pathways themselves. The efficiency of nutrients can depend on the nutrients mobility and soil water contents, which should be different at different distances from the subsurface flow pathway network.…”

Section: Introductionmentioning

confidence: 94%

Effect of shallow subsurface flow pathway networks on corn yield spatial variation under different weather and nutrient management

Morgan¹,

Daughtry²,

Russ³

et al. 2019

Int. Agrophys.

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Ground water availability can be a major spatially variable factor of crop yields. In soils with the infiltration-restricting layer, ground water can be organized in the network of channels that conduct water laterally in wet periods and become water storage and water subsidy sources for plants in dry periods. The objective of this work was to quantify the relationships between the distances to the subsurface flow pathway network and corn yield for different weather conditions and nutrient management. Corn yield was monitored across the manured and chemically fertilized fields at the USDA-ARS OPE3 experimental site in Maryland. Data were collected during dry, normal, and above normal years in terms of the amount of precipitation from planting to physiological maturity. The subsurface flow pathway network was delineated using ArcGIS from data on topography of the infiltration-restricting layer found mostly at depths between one and three meters. The geographically weighted regression was used. Adjusted determination coefficients of regressions ranged from 0.485 to 0.655. Decrease of the adjusted determination coefficients from a dry to normal year and an increase from the normal to wet year was found. Factoring the subsurface flow pathway network influence into crop management can be an important component of precision farming strategies. K e y w o r d s: subsurface flow pathways, ground penetrating radar, geographic weighted regression, corn yield

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Section: Introductionmentioning

confidence: 94%