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The Value of Water Quantity versus Quality: Assessing the Tradeoffs between Agricultural Yields and...

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The Value Of Water Quantity Versus Quality: Assessing The Tradeoffs Between Agricultural Yields And Downstream Uses Of Water Resources THIS PROJECT DEVELOPS a spatially-explicit integrated hydrologic-economic model that explores the tradeoff between water quantity for agriculture and water quality for downstream uses. Through novel field, classroom, and online extension and education programs, we will engage students, stakeholders, and the general public on the importance of the economic value of water and its role in efficient and effective water policies. Estimate the value of water quantity to agriculture by specific crop type and by location. Estimate the value of water quality to downstream users by use type by pollutant and by location. Develop a spatially-explicit, integrated hydrologic-economic model that identifies how land use and land management choices affect changes in water quality downstream. Use the hydrologic-economic model to identify and model optimal spatially-explicit conservation/mitigation strategies. Estimate how the value of water to agriculture, downstream users, and optimal conservation strategies change with various climate scenarios. 1) Increase the level of knowledge and understanding of water quality and quantity valuation from a broad range of stakeholders. 2) Improve the understanding of the economic value of water for K-12, undergraduate, and graduate students by integrating the research elements of the project with demonstration field sites, classroom learning modules, and online resources and educational games. 3) Hold a two day Integrated Water Science conference focused on water use, agriculture, and integrated efforts in water resource management. Figure 1. Tile Drainage in the U.S. by Percent of Each County’s Cropland, based on the 2012 U.S. Census of Agriculture Figure 2. Climate change impacts: tile drained, non-tile drained, and pooled Estimating the Economic Value of: Overview WE ESTIMATE DAMAGES from nutrient and sediment pollution through use of benefit transfer techniques and original nonmarket valuation studies. We focus on aquatic life uses, drinking water, and recreational use. Prices of Pollution: We use estimates of the economic value of water quality to estimate marginal damages of nutrients and sediments based on their emissions location, in our study area. Water Quality to Agriculture The Effect of Drainage: We use SWAT models of the UMRB and OTRB to examine how drainage systems affect the delivery of nutrients and sediments. We then examine how climate change may change the location of drainage and subsequent effects on total damages from pollution. Extension and Education Objectives WE UTILIZE ECONOMETRIC and crop simulation approaches to recover the economic value of water quantity. A key contribution of this work is to account for the role of sub- surface drainage in these estimates. We do so by explicitly incorporating new drainage data in our estimations and simulations (see Figure 1). Econometric Approach: Recover the implicit value of water through hedonic regressions of farmland value on climate, drainage, and socioeconomic variables (see figures 2 and 3). Crop Simulation Approach: Update SWAT models of the UMRB and OTRB with new drainage data and examine how crop yields change with changes to drainage. Water Quantity to Agriculture United States Department of Agriculture National Institute of Food and Agriculture Department of Economics USDA-NIFA NIWQP and AFRI Annual Project DirectorsMeeting July, 2015 David Keiser, Jacqueline Comito, John Downing, Philip Gassman, Matthew Helmers, Thomas Isenhart, and Catherine Kling Research Objectives Figure 3. Marginal effects of precipitation on tile drained and non-tile drained land This material is based upon work that is supported by the National Institute of Food and Agriculture, U.S. Department of Agriculture, under award number 2014-51130-22494.
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Page 1: The Value of Water Quantity versus Quality: Assessing the Tradeoffs between Agricultural Yields and Downstream Uses of Water Resources

The Value Of Water Quantity Versus Quality: Assessing The Tradeoffs Between Agricultural Yields And Downstream Uses Of Water Resources

Department of Economics

THIS PROJECT DEVELOPS

a spatially-explicit integrated

hydrologic-economic model that

explores the tradeoff between

water quantity for agriculture and

water quality for downstream uses.

Through novel field, classroom,

and online extension and education

programs, we will engage students,

stakeholders, and the general

public on the importance of the

economic value of water and its

role in efficient and effective water

policies.

• Estimate the value of water

quantity to agriculture by specific

crop type and by location.

• Estimate the value of water quality

to downstream users by use type

by pollutant and by location.

• Develop a spatially-explicit,

integrated hydrologic-economic

model that identifies how land use

and land management choices

affect changes in water quality

downstream.

• Use the hydrologic-economic

model to identify and model

optimal spatially-explicit

conservation/mitigation strategies.

• Estimate how the value of water to

agriculture, downstream users,

and optimal conservation

strategies change with various

climate scenarios.

1) Increase the level of knowledge and

understanding of water quality and

quantity valuation from a broad range

of stakeholders.

2) Improve the understanding of the

economic value of water for K-12,

undergraduate, and graduate students

by integrating the research elements

of the project with demonstration field

sites, classroom learning modules,

and online resources and educational

games.

3) Hold a two day Integrated Water

Science conference focused on water

use, agriculture, and integrated efforts

in water resource management.

Figure 1. Tile Drainage in the U.S. by Percent of Each County’s

Cropland, based on the 2012 U.S. Census of Agriculture

Figure 2. Climate change impacts: tile drained, non-tile

drained, and pooled

Estimating the Economic Value of: Overview

WE ESTIMATE DAMAGES from

nutrient and sediment pollution through

use of benefit transfer techniques and

original nonmarket valuation studies.

We focus on aquatic life uses, drinking

water, and recreational use.

Prices of Pollution: We use

estimates of the economic value

of water quality to estimate

marginal damages of nutrients

and sediments based on their

emissions location, in our study

area.

Water Quality to Agriculture

The Effect of Drainage: We use

SWAT models of the UMRB and

OTRB to examine how drainage

systems affect the delivery of

nutrients and sediments. We then

examine how climate change may

change the location of drainage and

subsequent effects on total

damages from pollution.

Extension and Education

ObjectivesWE UTILIZE ECONOMETRIC

and crop simulation approaches to

recover the economic value of water

quantity. A key contribution of this

work is to account for the role of sub-

surface drainage in these estimates.

We do so by explicitly incorporating

new drainage data in our estimations

and simulations (see Figure 1).

Econometric Approach: Recover

the implicit value of water through

hedonic regressions of farmland

value on climate, drainage, and

socioeconomic variables (see

figures 2 and 3).

Crop Simulation Approach: Update

SWAT models of the UMRB and

OTRB with new drainage data and

examine how crop yields change

with changes to drainage.

Water Quantity to Agriculture

United States Department of AgricultureNational Institute of Food and Agriculture

Department of Economics

USDA-NIFA NIWQP and

AFRI Annual Project Directors’ Meeting July, 2015

David Keiser, Jacqueline Comito, John Downing, Philip Gassman,

Matthew Helmers, Thomas Isenhart, and Catherine Kling

Research Objectives

Figure 3. Marginal effects of precipitation on tile drained

and non-tile drained land

This material is based upon work that is supported by the National Institute of Food and Agriculture, U.S. Department of Agriculture, under award number 2014-51130-22494.

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