Evaluating Salinity and Sodium Levels on Soils before Drain Tile Installation: A Case Study

Hopkins, David; Chambers, K.T.; Fraase, Andrew; He, Yangbo; Larson, Kristine M.; Malum, Lindsey; Sande, Leif; Schulte, Jeff B.; Sebesta, Eva; Strong, Dustin J.; Viall, E.; Utter, Rodney A.

doi:10.2136/sh12-02-0006

Cited by 9 publications

(7 citation statements)

References 6 publications

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“…The results can also be applied to field soils since SAR increases with depth in many North Dakota soils (McClelland et al, 1959). The reduction of EC due to salt loss through tile drainage likely contributes to swelling in sodic zones and may help to explain the phenomenon that the drainage performance in some sodium-affected soils decreases after several growing seasons (Cihacek et al, 2012;Hopkins et al, 2012). Tile drainage is also being used to remediate saline and saline-sodic soils, for example in China (Wang et al, 2007), where the Chinese government has implemented a 121.4 million ha "red line" agricultural land quota which will likely bring marginal lands such as these into production.…”

Section: Implications For Subsurface Drainagementioning

confidence: 99%

Field capacity water as influenced by Na and EC: Implications for subsurface drainage

DeSutter

Casey

et al. 2015

Geoderma

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Section: Implications For Subsurface Drainagementioning

confidence: 99%

Field capacity water as influenced by Na and EC: Implications for subsurface drainage

DeSutter

Casey

et al. 2015

Geoderma

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“…In the U.S. northern Great Plains (NGP) (North Dakota, South Dakota, Minnesota, Wyoming, Nebraska, and Montana), over 10.6 million ha of arable land have salinity and/or sodicity problems (Hopkins et al., 2012; Millar, 2003; Seelig, 2000), which can result in large yield and economic losses (Hadrich, 2012). The salinity/sodicity problem is driven by natural processes and results from sodium and other salts being transported from ancient seabeds to the soil surface.…”

Section: Introductionmentioning

confidence: 99%

CO₂ and N₂O emissions and microbial community structure from fields that include salt‐affected soils

et al. 2021

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Although salinity and sodicity are worldwide problems, information on greenhouse gas (GHG) emissions from agricultural salt-affected soils is scarce. The CO 2 -C and N 2 O-N emissions were quantified from three zones intertwined within a single U.S.northern Great Plains field: a highly productive zone (electrical conductivity with 1:1 soil/water mass ratio [EC 1:1 ] = 0.4 dS m -1 ; sodium adsorption ratio [SAR] = 1.8), a transition zone (moderately salt-affected; EC 1:1 = 1.6 dS m -1 ; SAR = 4.99), and a saline/sodic zone (EC 1:1 = 3.9 dS m -1 ; SAR = 22). In each zone, emissions were measured every 4 h for 7 d in four randomly placed chambers that were treated with two N rates (0 and 224 kg N ha -1 ). The experiment was conducted in 2018 and 2019 during similar seasonal periods. Soil samples taken from treatments after GHG measurement were analyzed for soil inorganic N, and microbial biomass from different communities was quantified using phospholipid fatty acid analysis. Realtime polymerase chain reaction was used to quantify the number of copies of some specific denitrification functional genes. The productive zone had the highest CO 2 -C, the lowest N 2 O-N emissions, and the greatest microbial biomass, whereas the saline/sodic zone had the lowest CO 2 -C, the highest N 2 O-N emissions, and the lowest microbial biomass. Within a zone, urea application did not influence CO 2 -C emissions; however, N 2 O-N emissions from the urea-treated saline/sodic zone were 84 and 57% higher than from the urea-treated productive zone in 2018 and 2019, respectively. The copy number of the nitrite reductase gene, nirS, was 42-fold higher in the saline/sodic zone than in the productive soil, suggesting that the saline/sodic soil had a high potential for denitrification. These findings suggest N 2 O-N emissions could be reduced by not applying N to saline/sodic zones.

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“…As Hopkins et al (2012) suggested, saturated soil contributed to higher soil salinity, which prevented planting in the Dakotas.…”

Section: Forest Soil Characteristicsmentioning

confidence: 99%

Detecting Land-Cover Change using Stochastic Simulation Models and Multivariate Analysis of Multi-Temporal Landsat Data for Cass County, North Dakota

Madurapperuma¹,

Oduor²,

Kotchman³

2013

ENRR

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Understanding forest transiting at wildland-urban interfaces offers a glimpse into the effect of anthropogenic activities that may threaten biota.We examined forest conversion from 2006 to 2011 at urban-wildland fringes in Cass County, North Dakota. Grid data from the National Agricultural Statistic Service, published by USDA, was used as preliminary inputs to ascertain land-use and land-cover dynamics. Markovian transition probabilities were derived for each pair of years from 2006 to 2011. These transition probabilities were further subjected to multivariate analysis to detect forest change in one-year time steps. From this study, pairwise combinations of years yielded two distinct statistical groups. The first group comprised of seven pairs of year combinations displaying high transition probability of unchanged forest (0.54 ≤ P ff ≤ 0.68), while the second group comprised of eight pairs of year combinations and showed a low transition probability of unchanged forest (0.26 ≤ P ff ≤ 0.37). A third group displayed comparatively high transition probabilities of forest transiting to non-forest (0.26 ≤ P fnf ≤ 0.36), such as forest to row crops, with an increasing trend over time. We also generated the forest cover in relation to soil characteristics. We can surmise that forest cover at poorly drained soils showed a higher distribution, which could be due to the unsuitability of this soil for crop cultivation. The results of this study on how land-cover has changed in Cass County for the last six years could be used by policy makers and forest managers in applying BMPs (Best Management Practices).

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Evaluating Salinity and Sodium Levels on Soils before Drain Tile Installation: A Case Study

Cited by 9 publications

References 6 publications

Field capacity water as influenced by Na and EC: Implications for subsurface drainage

Field capacity water as influenced by Na and EC: Implications for subsurface drainage

CO₂ and N₂O emissions and microbial community structure from fields that include salt‐affected soils

Detecting Land-Cover Change using Stochastic Simulation Models and Multivariate Analysis of Multi-Temporal Landsat Data for Cass County, North Dakota

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Evaluating Salinity and Sodium Levels on Soils before Drain Tile Installation: A Case Study

Cited by 9 publications

References 6 publications

Field capacity water as influenced by Na and EC: Implications for subsurface drainage

Field capacity water as influenced by Na and EC: Implications for subsurface drainage

CO2 and N2O emissions and microbial community structure from fields that include salt‐affected soils

Detecting Land-Cover Change using Stochastic Simulation Models and Multivariate Analysis of Multi-Temporal Landsat Data for Cass County, North Dakota

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CO₂ and N₂O emissions and microbial community structure from fields that include salt‐affected soils