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REMM: Riparian Ecosystem REMM: Riparian Ecosystem Management Model Management Model USDA-Agricultural Research Service USDA-Agricultural Research Service University of Georgia University of Georgia California State University – Chico California State University – Chico USDA-Natural Resources Conservation USDA-Natural Resources Conservation Service Service

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Page 1: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

REMM: Riparian Ecosystem REMM: Riparian Ecosystem Management Model Management Model

USDA-Agricultural Research ServiceUSDA-Agricultural Research Service

University of GeorgiaUniversity of Georgia

California State University – ChicoCalifornia State University – Chico

USDA-Natural Resources Conservation ServiceUSDA-Natural Resources Conservation Service

Page 2: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Outline

Model Components Applications of REMM Integration with

watershed models/other ongoing work

Page 3: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

REMM: Components

Adding pesticides

hydrology

sediment

vegetativegrowth

nutrientdynamics

Page 4: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Three Zone Buffer System

Page 5: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Riparian Ecosystem Management Model

Quantify water quality benefits of multiple zone buffers and account for:

Climate (either real or synthetic) Slope (variable among zones) Soils (hydrologic, nutrient, carbon) Vegetation (above and below) loadings from nonpoint source

Page 6: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

REMM: Vegetation Types

coniferous treesconiferous trees deciduous treesdeciduous trees

herbaceous perennials/herbaceous perennials/ annualsannuals

Page 7: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

REMM: Vegetation

Upper canopy/lower canopyUpper canopy/lower canopy

Multiple vegetation types in both canopies Multiple vegetation types in both canopies based on percent coverbased on percent coverAny/all vegetation can be in each zoneAny/all vegetation can be in each zone

Page 8: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Phosphorus Pools in Soil and Litter

Figure 8.1 Phosphorus pools in REMM (From Jones et al., 1984).

Page 9: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Nitrogen Pools in Soil and Litter

Page 10: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Litter and Soil Interactions in REMM

10 mm

residue

soil

litter layer

B

U

A horizon

incoming sediment

exiting sediment/erosion

U - soil transferB - soil buried

Page 11: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

REMM: Input Required

Upland inputs – daily surface runoff and subsurface flow, associated sediment and chemistry

Daily Weather Data Site Description Soil Characteristics Erosion Factors Vegetation Characteristics

Page 12: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

REMM: Documentation

Coded in C++, primarily by R.G. Williams Executable version available for download Editing tools to build data sets available for

download Text of users guide available online Graphical user interface developed by

L. S. Altier at Cal State.

Page 13: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

REMM: Documentation

Published as USDA Conservation Research Report No. 46 in 2002. We have copies!!

General article on REMM structure with some sensitivity analysis in JSWC

REMM tested (validation) in two articles in Trans. ASAE

Applications of REMM for coastal plain systems published in JAWRA and Trans. ASAE

Page 14: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Uses for REMM

Predict load reductions for buffer scenarios

Predict outputs to streams for different nonpoint source loadings

Predict changes in pollutant transport processes

Page 15: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Uses for REMM

Compare buffers with different vegetation

Predict changes in pollutant removal mechanisms

Examine behavior of riparian systems as represented by REMM

Page 16: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Example - Buffer Scenarios

14 buffers ranging from minimum Zone 1 buffer (5 m) to 52 m three zone buffer

Simulated both conventional row crop loading (normal) and dairy lagoon effluent

loading (high).

Page 17: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Load 5-year average annual loading Normal High Ratio

Surface runoff (mm) 149.9 149.9 1.0Sediment (kg/ha) 300 300 1.0Subsurface runoff (mm) 46.7 93.3 2.0Total field runoff (mm) 196.6 243.2 1.2Total Nitrogen (kg/ha) 21.7 108.8 5.0Total Nitrate (kg/ha) 8.1 50.2 6.2Total Ammonium (kg/ha) 6.0 47.9 8.0Surface Nitrogen (kg/ha) 13.3 57.3 4.3Surface Nitrate (kg/ha) 2.4 4.9 2.0Subsurface Ammonium (kg/ha) 5.5 44.1 8.0Subsurface Nitrogen (kg/ha) 7.4 51.5 7.0Subsurface Nitrate (kg/ha) 5.7 45.3 7.9Subsurface Ammonium (kg/ha) 0.5 3.8 7.6Total Phosphorus (kg/ha) 3.2 8.2 2.6Total dissolved Phosphorus (kg/ha) 3.0 7.8 2.6Surface Phosphorus (kg/ha) 2.9 7.6 2.6Surface Dissolved Phos. (kg/ha) 2.7 7.1 2.6Subsurface Dissolved Phos. (kg/ha) 0.3 0.7 2.3

Loading Scenarios

Page 18: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Buffer Scenarios

0

10

20

30

40

50

60

1 2 3 4 5 6 7 8 9 10 11 12 13 14

Simulated buffer number

Bu

ffe

r W

idth

(m

)

Grass Zone 3

Pine Zone 2

Hardwood Zone 1

Page 19: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Total Water Output

Buffer length (m)

0 10 20 30 40 50 60

Wat

er o

utp

ut

(mm

yr-1

)

0

50

100

150

200

250

300

350

400

Normal - 1 ZoneHigh - 1 ZoneNormal - 2 ZoneHigh - 2 ZoneNormal - 3 ZoneHigh - 3 Zone

Page 20: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Total N Output

Buffer length (m)

0 10 20 30 40 50 60

To

tal N

itro

gen

Yie

ld (

kg h

a-1 y

r-1)

0

20

40

60

80

100

120

Normal - 1 ZoneHigh - 1 ZoneNormal - 2 ZoneHigh - 2 ZoneNormal - 3 ZoneHigh - 3 Zone

Page 21: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Total N load reduction

Buffer length (m)

0 10 20 30 40 50 60

To

tal N

Red

uct

ion

(%

)

0

20

40

60

80

100

Normal - 1 ZoneHigh - 1 ZoneNormal - 2 ZoneHigh - 2 ZoneNormal - 3 ZoneHigh - 3 Zone

Page 22: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Sediment Output

Buffer length (m)

0 10 20 30 40 50 60

Sed

imen

t Y

ield

(kg

ha-1

yr-1

)

0

20

40

60

80

100

120

140

Normal - 1 ZoneHigh - 1 ZoneNormal - 2 ZoneHigh - 2 ZoneNormal - 3 ZoneHigh - 3 Zone

Page 23: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Sediment Load Reduction

Buffer length (m)

0 10 20 30 40 50 60

Sed

imen

t L

oad

Red

uct

ion

(%

)

0

20

40

60

80

100

Normal - 1 ZoneHigh - 2 ZoneNormal - 2 ZoneHigh - 2 ZoneNormal - 3 ZoneHigh - 3 Zone

Page 24: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Use of REMM to Simulate Mature Buffer on Highly P Loaded Soils

(All values kg P/ha)

Residue Humus Labile Inorganic

Active Inorganic

Stable Inorganic

Litter +Soil

(Base)

17.5 398 130 244 1079

Litter+

Soil

(High)

33 1448 1304 2445 10788

Page 25: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Long Term Phosphorus Losses from Buffer with Highly Enriched Soil P

Total P output in SRO & SSF

020406080

100120140

136 71

106

141

176

211

246

281

316

351

386

421

456

491

526

561

596

631

666

701

736

771

806

841

876

911

946

981

Years

P ou

tput

(kg

P/ha

/yr)

Page 26: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

After about 500 years – near background levels

Total P Output in SRO & SSF

00.5

11.5

22.5

33.5

4

500 600 700 800 900 1000

Year

P o

utp

ut (

kg P

/ha/

yr)

Page 27: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Use of REMM to simulate mature buffer receiving increased loadings of P

Increase the P pools in buffer from measured (base case) to 10x base case

Increase the dissolved P input in surface runoff from measured (base case) to 10x base case

Page 28: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Use of REMM to simulate mature buffer receiving increased loadings of P

Litter + Soil

(kg P/ha)

(1x to 10x)

Dissolved P Surface Runoff inputs

(kg P/ha/yr)

(1x to 10x)

1,868 to 18,680 6 to 60

Page 29: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

1x 2x 3x 5x 10x1x

3x10x

0

5

10

15

20

25

Subsurface P Output

(kg/ha-yr)

Soil Labile P

Inflow Dissolved P

Base case sediment - 1x to 10x Dissolved P

Page 30: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

1x 3x10x

1x

5x0

0.5

1

1.5

2

2.5

Surface P Output

(kg/ha-yr)

Soil Labile P

InflowDissolved P

Base case sediment P - 1x to 10x Dissolved P

Page 31: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Model nonpoint source pollution control by a wide range of buffers

Page 32: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Future Work with REMM

Integration with ARS watershed models – SWAT and AnnAGNPS

Testing with data from ARS buffer research sites – currently working on Beltsville site, Ames, Corvallis, Coshocton, Florence, Oxford, Tifton, University Park.

Addition of new components for pesticides to be compatible with WS models

Consultation with diverse groups of users

Page 33: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Integration with SWAT

Conceptually fits between upland sources areas and channel processes.

Preliminary work plan developed between modeling teams

Page 34: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Integration with SWAT

Require surface and subsurface outputs from source areas

Change from 3 zone to variable zone with default of one zone. Alternatively, change to one zone.

Page 35: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Integration with SWAT

Change as many variables as possible in vegetation to default values. Remain as input variables but automatically use default values.

Page 36: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Integration with SWAT

Change from 3 layer to multiple layer, default = 3.

Keep all the soil and litter pools.  

Initialize all soil carbon pools directly from a soil organic matter value. 

Page 37: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Integration with SWAT

Initialize soil organic N and soil organic P pools directly from SOC pools based on C/N and C/P ratios.

Standardize temperature and water factors

Page 38: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Integration with SWAT - General

Functions of riparian zones will vary with stream order

Some will receive inputs from source areas

Some will receive inputs from upstream watersheds

Page 39: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Integration with SWAT -Channels

Can provide some dynamic inputs such as root biomass and coarse woody debris inputs needed to model streams and streambanks

Page 40: REMM: Riparian Ecosystem Management Model USDA-Agricultural Research Service University of Georgia California State University – Chico USDA-Natural Resources

Integration with SWAT - VFS Separate use for VFS from

use for riparian buffer? VFS could be based on field border area rather than channel length. Riparian buffer would be based on channel length and/or hydrologic contributing area.  How is water delivered to the VFS or to the riparian buffer? Does VFS put its water into the buffer? Is this the same as a multiple zone buffer?