Identification and classification of critical soil and water conservation areas in the Muskingum River basin in Ohio

Khanal, Sunita; Lal, Rattan; Kharel, Gehendra; Fulton, Jennifer B.

doi:10.2489/jswc.73.2.213

Cited by 13 publications

(12 citation statements)

References 33 publications

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“…On the other hand, Kang et al [8] and others indicated increased crop production with a modest rise in average temperature of 1-3 • C, but decreasing yields above this range. From the hydrological modeling perspective, the Soil and Water Assessment Tool (SWAT) [11] has been used to assess quality and quantity issues [12,13] to identify critical source areas [14] and impacts on crop-yield [15,16] due to changes in climate and land uses in order to suggest improved management practices [17].…”

Section: Introductionmentioning

confidence: 99%

Projected Climate Could Increase Water Yield and Cotton Yield but Decrease Winter Wheat and Sorghum Yield in an Agricultural Watershed in Oklahoma

Gharibdousti

Kharel

Miller

et al. 2019

Water

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Climate change impacts on agricultural watersheds are highly variable and uncertain across regions. This study estimated the potential impacts of the projected precipitation and temperature based on the downscaled Coupled Model Intercomparison Project 5 (CMIP-5) on hydrology and crop yield of a rural watershed in Oklahoma, USA. The Soil and Water Assessment Tool was used to model the watershed with 43 sub-basins and 15,217 combinations of land use, land cover, soil, and slope. The model was driven by the observed climate in the watershed and was first calibrated and validated against the monthly observed streamflow. Three statistical matrices, coefficient of determination (R 2 ), Nash-Sutcliffe efficiency (NSE), and percentage bias (PB), were used to gauge the model performance with satisfactory values of R 2 = 0.64, NS = 0.61, and PB = +5% in the calibration period, and R 2 = 0.79, NSE = 0.62, and PB = −15% in the validation period for streamflow. The model parameterization for the yields of cotton (PB = −4.5%), grain sorghum (PB = −27.3%), and winter wheat (PB = −6.0%) resulted in an acceptable model performance. The CMIP-5 ensemble of three General Circulation Models under three Representative Concentration Pathways for the 2016-2040 period indicated an increase in both precipitation (+1.5%) and temperature (+1.8 • C) in the study area. This changed climate resulted in decreased evapotranspiration (−3.7%), increased water yield (23.9%), decreased wheat yield (−5.2%), decreased grain sorghum yield (−9.9%), and increased cotton yield (+54.2%) compared to the historical climate. The projected increase in water yield might provide opportunities for groundwater recharge and additional water to meet future water demand in the region. The projected decrease in winter wheat yield-the major crop in the state-due to climate change, may require attention for ways to mitigate these effects.

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Section: Introductionmentioning

confidence: 99%

Projected Climate Could Increase Water Yield and Cotton Yield but Decrease Winter Wheat and Sorghum Yield in an Agricultural Watershed in Oklahoma

Gharibdousti

Kharel

Miller

et al. 2019

Water

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“…The Muskingum River Watershed is located in the east of Ohio. This watershed is defined as a hydrologic unit at level 4 in the United States Geological Survey (USGS) Watershed Boundary Dataset (WBD), and it has a total area of 20,849.43 km 2 (about 20% of the state) [30,31]. The Muskingum River Watershed completely or partially covers 27 counties of Ohio (Figure 3).…”

Section: Study Areamentioning

confidence: 99%

“…The Muskingum River is the dominant river in the watershed, and it flows into the Ohio River through the outlet at Marietta in Washington County. The Muskingum River has four main tributary rivers: the Tuscarawas River that originates from the northeast of the watershed, the Walhonding River that originates from the northwest of the watershed, the Linking River that originates from the west of the watershed, and the Wills Creek that originates from the east of the watershed [30,35]. The Tuscarawas River and the Walhonding River coalesce into the Muskingum River at the confluence near Coshocton, the Wills Creek flows in at the confluence 18.4 km downstream Coshocton, and the Linking River flows in at the confluence near North Zanesville (Figure 3a).…”

Section: Study Areamentioning

confidence: 99%

“…The Muskingum River Watershed has a humid subtropical climate type [33,34]. The average daily temperature is about 10.3 • C while the annual total precipitation is about 1075 mm [30]. The precipitation and temperature change significantly throughout the year, forming a wet warm summer and a dry cold winter.…”

Section: Study Areamentioning

confidence: 99%

“…The majority of the Muskingum River Watershed is rural, and forest dominates the landcover (Figure 3b and Table 1). About 45% of the watershed area is covered by forest [30], comprising 38.50% deciduous forest, 0.69% evergreen forest, and 6.24% mixed forest. The main species of trees are deciduous, e.g., red oak, white oak, hickory, black cherry, yellow poplar, sugar maple, and red maple [37].…”

Section: Study Areamentioning

confidence: 99%

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Remote Sensing of Forest Structural Changes Due to the Recent Boom of Unconventional Shale Gas Extraction Activities in Appalachian Ohio

Liu

2021

Remote Sensing

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Dense unconventional shale gas extraction activities have occurred in Appalachian Ohio since 2010 and they have caused various landcover changes and forest fragmentation issues. This research investigated the most recent boom of unconventional shale gas extraction activities and their impacts on the landcover changes and forest structural changes in the Muskingum River Watershed in Appalachian Ohio. Triple-temporal high-resolution natural-color aerial images from 2006 to 2017 and a group of ancillary geographic information system (GIS) data were first used to digitize the landcover changes due to the recent boom of these unconventional shale gas extraction activities. Geographic object-based image analysis (GEOBIA) was then employed to form forest patches as image objects and to accurately quantify the forest connectivity. Lastly, the initial and updated forest image objects were used to quantify the loss of core forest as the two-dimensional (2D) forest structural changes, and initial and updated canopy height models (CHMs) derived from airborne light detection and ranging (LiDAR) point clouds were used to quantify the loss of forest volume as three-dimensional (3D) forest structural changes. The results indicate a consistent format but uneven spatiotemporal development of these unconventional shale gas extraction activities. Dense unconventional shale gas extraction activities formed two apparent hotspots. Two-thirds of the well pad facilities and half of the pipeline right-of-way (ROW) corridors were constructed during the raising phase of the boom. At the end of the boom, significant forest fragmentation already occurred in both hotspots of these active unconventional shale gas extraction activities, and the areal loss of core forest reached up to 14.60% in the densest concentrated regions of these activities. These results call for attention to the ecological studies targeted on the forest fragmentation in the Muskingum River Watershed and the broader Appalachian Ohio regions.

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Services from Agroecosystems and Their Quantification

Khanal

2023

Engineering and Ecosystems

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Identification and classification of critical soil and water conservation areas in the Muskingum River basin in Ohio

Cited by 13 publications

References 33 publications

Projected Climate Could Increase Water Yield and Cotton Yield but Decrease Winter Wheat and Sorghum Yield in an Agricultural Watershed in Oklahoma

Projected Climate Could Increase Water Yield and Cotton Yield but Decrease Winter Wheat and Sorghum Yield in an Agricultural Watershed in Oklahoma

Remote Sensing of Forest Structural Changes Due to the Recent Boom of Unconventional Shale Gas Extraction Activities in Appalachian Ohio

Services from Agroecosystems and Their Quantification

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