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Placement of Riparian Forest Buffers to Improve Water Quality

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Title: Placement of Riparian Forest Buffers to Improve Water Quality


1
Placement of Riparian Forest Buffers to Improve
Water Quality
  • Mark Tomer1, Mike Dosskey2, Mike Burkart1, Dave
    James1, Matt Helmers3, and Dean Eisenhauer4

1USDA-ARS, 2USFS, Iowa St. Univ.3, Univ. of
Nebraska4
2
Problem statement
  • Riparian buffers offer opportunities to integrate
    agroforestry in agricultural watersheds.
  • Riparian buffers can improve water quality.
  • Mechanisms slowing water movement, encouraging
    infiltration, nutrient uptake/storage, water
    uptake, denitrification in shallow groundwater,
  • However these benefits are difficult to establish
    at watershed scales.
  • Buffers do not provide all these benefits at
    every riparian location.

3
Objective
  • If buffers function varies depending on location,
    then managers need techniques to identify
    locations where buffers will have the greatest
    water quality benefits.
  • Our objective is to show several ways of
    identifying optimal locations for riparian
    buffers.

4
Data sources / approaches
  • Soil survey
  • Terrain analysis

5
Soil survey method
  • Ranks soil map units for their capacity to trap
    sediment and allow water to infiltrate.
  • Calculates a sediment factorSI D50 / R K L S
  • Calculates an infiltration factorIF Ksat2 / R
    L S
  • Relates these factors to VFSMOD output parameters
    that estimate buffer efficiency.

6
Relationships of soil-survey factors with VFSMOD
output
Both efficiency factors assume a 24-hr, 2 yr
return event, and a 200 m slope length
7
Interpretation is counter-intuitive!
Low STE indicates where sediment loads and load
reductions in buffer are greatest.
8
Map of estimated parameters based on soil survey
(SSURGO) data
Sediment trapping efficiency (STE)
Water trapping efficiency (WTE)
9
Maps based on soil survey (STATSGO) data
Sediment trapping efficiency (STE)
Water trapping efficiency (WTE)
10
Map of STE at regional (MLRA) scale
11
Mapped interpretations of a buffers capacity to
influence shallow groundwater or soil saturation.
12
Note soil survey technique ranks soils for their
capacity to trap runoff and sediment, and
influence groundwater, as determined by soil
texture, hydric conditions, erodibility, slope,
and rainfall characteristics.
13
Terrain analysis method
  • Uses USGS national elevation data
  • Similar in scale to soil survey
  • Analysis provides images that reveal pathways of
    water movement, and areas of water accumulation

14
Terrain Analysis method
Example map of contributing area
Wetness index Sediment transport
index As contributing area b slope
Moore et al. 1991, 1992
15
Interpretation for riparian areas
  • High Wetness Index
  • Opportunity for runoff filtration
  • Possibility of shallow groundwater
  • Both benefits not assumed for all locations
  • Sediment transport index
  • Large values may indicate streambank
    stabilization needed
  • Small values indicate probable areas of
    deposition

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19
Changes in NO3-N and total P concentrations
during a runoff event
20
Discharge index
Riparian corridor analysis
dq Arc/Ac 1,000
Represents proportion of watershed area
contributed through an individual riparian
grid-cell. Related to capacity of riparian buffer
to measurably improve water quality in the stream.
21
Iowas landform regions and study watersheds
Des Moines Lobe
Loess Hills
South Fork Iowa River
22
Terrain indices differ along riparian corridors
according to stream order wetness index

Data from Keg and Silver Creeks in western Iowa
23
Terrain indices differ along riparian corridors
according to stream order sediment transport
index

Data from Keg and Silver Creeks in western Iowa
24
Buffers influence larger proportions of stream
water along low-order (headwater) streams
Data from Keg and Silver Creeks in western Iowa
25
Result
  • Opportunities for buffers to improve water
    quality are greatest along low-order (headwater)
    streams!

26
Construction of stream-side maps (to identify
priority sites for buffers)
  • Wetness and erosion indices extracted for cells
    adjacent to stream network.
  • Series of large scale moving window maps
    constructed for field use.

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Conclusions
  • Soil survey data can identifies map units most
    capable of trapping pollutants in surface runoff,
    or influencing groundwater.
  • Terrain analyses identify where runoff and/or
    groundwater can most readily be intercepted by
    buffers.
  • Two methods do not duplicate one another, and
    could be complimentary. Data sources have similar
    spatial scales.
  • Detailed maps to assist conservation planning at
    the field scale can be constructed.
  • Regional analyses are also possible using both
    methods. Data are broadly available.
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