Spatio-temporal analysis of cropland changes in US in the last decade

Singh, Nawab

doi:10.1109/igarss.2013.6723410

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…Selection of water quality indicators was constrained by the availability of field-measurements essential to calibrate the SWAT model. South Dakota was chosen as the region of study since it is one of the states with highest grassland conversion rates in the Great Plains and Midwestern United States (Singh, 2013;Wright and Wimberly, 2013).…”

Section: Introductionmentioning

confidence: 99%

Modeling the effects of future land use change on water quality under multiple scenarios: A case study of low-input agriculture with hay/pasture production

Rajib

Ahiablame

Paul

2016

Sustainability of Water Quality and Ecology

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Understanding the relationship between land use and freshwater quality is necessary for effective water management. This study sought to evaluate the impacts of future land use change on water quality in an agriculture dominated watershed in South Dakota. Taking into account three cases (A1B, A2 and B1) of the FOREcasting SCEnarios (FORE-SCE) of Land use Change modeling framework, possible changes in surface runoff, sediment, nitrate and total phosphorus by the end of the 21st century were assessed relative to the baseline (National Land Cover Database 2011) comprising a multi-year period from the recent past (2006-2014). The Soil and Water Assessment Tool (SWAT) was used for simulating hydrology and water quality, where particular attention was given to land transformation from "high-input" to "low-input" agriculture. The analysis revealed that urban areas and low-input hay/pasture production would expand from conversion of forest, grassland and high-input cultivated cropland. While afforestation might also occur under certain future scenario assumptions such as B1, all the three scenarios are suggestive of complete grassland depletion by the first quarter of this century. Simulation results suggested that water quality would improve with expansion of hay/pasture production (as lowinput agriculture), reducing surface runoff volume, sediment, nitrate and total phosphorus loads by 3-14% across all three future scenarios of land use change. This study provides an example on how physically-based land use projections can be ingested in SWAT modeling to identify possible environmental implications of future land use changes. Similar studies adopted on large scales would be useful to support holistic water resources management strategies and associated policy interventions.

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Section: Introductionmentioning

confidence: 99%

Modeling the effects of future land use change on water quality under multiple scenarios: A case study of low-input agriculture with hay/pasture production

Rajib

Ahiablame

Paul

2016

Sustainability of Water Quality and Ecology

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“…In South Dakota alone, the net loss of grassland was about 1,820 km 2 between 2006 and 2011 (Wright and Wimberly, ). Singh () also identified South Dakota as one of the states with highest grassland conversion rates in the WCB region. This increasing land use conversion can potentially lead to changes in surface runoff, flood frequency, water yield, soil moisture, and ET (Schilling et al ., , ; Mao and Cherkauer, ; Wu et al ., , ).…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Evaluation of Hydrological Response to Climate and Land Use Change in Three South Dakota Watersheds

Paul

Rajib

Ahiablame

2016

J American Water Resour Assoc

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This study analyzed changes in hydrology between two recent decades (1980s and 2010s) with the Soil and Water Assessment Tool (SWAT) in three representative watersheds in South Dakota: Bad River, Skunk Creek, and Upper Big Sioux River watersheds. Two SWAT models were created over two discrete time periods (1981‐1990 and 2005‐2014) for each watershed. National Land Cover Datasets 1992 and 2011 were, respectively, ingested into 1981‐1990 and 2005‐2014 models, along with corresponding weather data, to enable comparison of annual and seasonal runoff, soil water content, evapotranspiration (ET), water yield, and percolation between these two decades. Simulation results based on the calibrated models showed that surface runoff, soil water content, water yield, and percolation increased in all three watersheds. Elevated ET was also apparent, except in Skunk Creek watershed. Differences in annual water balance components appeared to follow changes in land use more closely than variation in precipitation amounts, although seasonal variation in precipitation was reflected in seasonal surface runoff. Subbasin‐scale spatial analyses revealed noticeable increases in water balance components mostly in downstream parts of Bad River and Skunk Creek watersheds, and the western part of Upper Big Sioux River watershed. Results presented in this study provide some insight into recent changes in hydrological processes in South Dakota watersheds. Editor's note: This paper is part of the featured series on SWAT Applications for Emerging Hydrologic and Water Quality Challenges. See the February 2017 issue for the introduction and background to the series.

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Spatio-temporal analysis of cropland changes in US in the last decade

Cited by 2 publications

References 9 publications

Modeling the effects of future land use change on water quality under multiple scenarios: A case study of low-input agriculture with hay/pasture production

Modeling the effects of future land use change on water quality under multiple scenarios: A case study of low-input agriculture with hay/pasture production

Spatial and Temporal Evaluation of Hydrological Response to Climate and Land Use Change in Three South Dakota Watersheds

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