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

Slides:



Advertisements
Similar presentations
The role of tree planting in Watershed Restoration The role of tree planting in Watershed Restoration Floodplain restoration along with the control of.
Advertisements

MODELING THE IMPACTS OF CLIMATE CHANGE – CHANGES MADE IN A SPECIES SPECIFIC MODELING SYSTEM Jim Chew, Kirk Moeller, Kirsten Ironside Invited presentation.
A Model for Evaluating the Impacts of Spatial and Temporal Land Use Changes on Water Quality at Watershed Scale Jae-Pil Cho and Saied Mostaghimi 07/29/2003.
Antony Lenehan.  Site and soil  Effluent quality and quantity  Application systems- above ground or below ground  Crop/vegetation selection and.
Phosphorus Loads from Streambank Erosion to Surface Waters in the Minnesota River Basin D. J. Mulla Professor, Dept. Soil, Water, Climate University of.
Phosphorus Index for Oregon and Washington Steve Campbell USDA - Natural Resources Conservation Service Portland, Oregon Dan Sullivan Oregon State University.
Phosphorus Index Based Management Douglas Beegle Dept. of Crop and Soil Sciences Penn State University
©2003 Institute of Water Research, all rights reserved Water Quality Modeling for Ecological Services under Cropping and Grazing Systems Da Ouyang Jon.
Riparian Zone Habitat Assessment Vegetation and More.
An open source version of the Nonpoint-Source Pollution and Erosion Comparison Tool Climate Tools Café Webinar Dave Eslinger, Ph.D. 3 May, 2012.
Developing Modeling Tools in Support of Nutrient Reduction Policies Randy Mentz Adam Freihoefer, Trip Hook, & Theresa Nelson Water Quality Modeling Technical.
Conservation Effects Assessment Project (CEAP) Measuring the Environmental Benefits of Conservation Managing the Agricultural Landscape for Environmental.
Natural Riparian Resources Vegetation Landscape/Soil Water.
LTHIA – Upgrades and Training Bernard A. Engel Tong Zhai Larry Theller Agricultural and Biological Department Purdue University In conjunction.
Runoff Processes Reading: Applied Hydrology Sections 5.6 to 5.8 and Chapter 6 for Tuesday of next week.
Erosion Control Short Course Monday, April 23, 2012 San Luis Obispo City/County Library Ron Harben, Project Director California Association of Resource.
Land Use Change and Its Effect on Water Quality: A Watershed Level BASINS-SWAT Model in West Georgia Gandhi Raj Bhattarai Diane Hite Upton Hatch Prepared.
Water Pollution. Watershed A watershed is an area of land from which all the water drains to the same location, such as a stream, pond, lake, river, wetland.
Pacific Southwest Research Station, Fresno, CA Kings River Experimental Watersheds KREW.
The Canadian Approach to P Indexes (or, at least, my approach) D. Keith Reid Presentation to Soil Test P Stratification Working Group 24 July, 2013.
FOR 272 Forested Watershed Management: Water and aquatic resources as the wave of the future for forest management.
Watersheds Capture, Store And Safely Release Water.
Surface Water Simulation Group. Comprehensive watershed scale model developed and supported by the USDA-ARS capable of simulating surface and groundwater.
Model for Pesticide Spill in Louisville using GLEAMS Natsuko Shiomi.
What is RUSLE2 ? R evised U niversal S oil L oss E quation, Version 2 Estimates soil loss from rill and interrill erosion caused by rainfall and overland.
FOR 272 Forested Watershed Management: Water and aquatic resources as the wave of the future for forest management.
Watersheds and Fire Where conditions are not too dry or too wet and where accumulated carbon from photosynthesis will not oxidize slowly or rot, fire cycles.
Soil Water Assessment Tool (SWAT) Model Input
Determining the effectiveness of best management practices to reduce nutrient loading from cattle grazed pastures in Utah Nicki Devanny Utah State University,
Nonpoint Source Pollution Reductions – Estimating a Tradable Commodity Allen R. Dedrick Associate Deputy Administrator Natural Resources & Sustainable.
Streams and Rivers.
Impact of Climate Change on Flow in the Upper Mississippi River Basin
ACME Land Group Overview and Roadmaps Group Leads: Peter Thornton and Bill Riley.
Chesapeake Bay Program Incorporation of Lag Times into the Decision Process Gary Shenk 10/16/12 1.
Center for Watershed Protection USDA Forest Service, Northeastern Area, State and Private Forestry How to estimate future forest cover in a watershed.
IMPACTS OF LAND DEVELOPMENT ON OREGON’S WATERS 2001 This slide show was borrowed from the internet but we added our own research when we presented it.
Timber Harvest Influences on Hydrology and Water Quality of PNW Forested Wetlands Possibly the world’s shortest talk, if we base it on known facts. C.
Non-pollutant ecosystem stress impacts on defining a critical load Or why long-term critical loads estimates are likely too high Steven McNulty USDA Forest.
Sediment Retention model
A process-based, terrestrial biosphere model of ecosystem dynamics (Hybrid v. 3.0) A. D. Friend, A.K. Stevens, R.G. Knox, M.G.R. Cannell. Ecological Modelling.
The Importance of Watershed Modeling for Conservation Policy Or What is an Economist Doing at a SWAT Workshop?
Forecasting changes in water quality and aquatic biodiversity in response to future bioenergy landscapes in the Arkansas-White-Red River basin Peter E.
Soil Conservation. Erosion Two billion tons of U.S. soil lost annually Improved from Five billion tons in 1982 Conservation programs and voluntary conservation.
Modeling experience of non- point pollution: CREAMS (R. Tumas) EPIC (A. Povilaitis and R.Tumas SWRRBWQ (A. Dumbrauskas and R. Tumas) AGNPS (Sileika and.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Hydrologic and Water Quality Modeling of the Chesapeake Bay Watershed Huan.
Using the Soil Conditioning Index to Assess Management Effects on Soil Carbon USDA Natural Resources Conservation Service Soil Quality National Technology.
Field Specific Decisions: N vs P CNMP Core Curriculum Section 5 – Nutrient Management.
How Breakthroughs in Information Systems Can Impact Local Decisions Bruce Babcock Center for Agricultural and Rural Development Iowa State University.
Assessment of Runoff, Sediment Yield and Nutrient Load on Watershed Using Watershed Modeling Mohammad Sholichin Mohammad Sholichin 1) Faridah Othman 2)
Watersheds Chapter 9. Watershed All land enclosed by a continuous hydrologic drainage divide and lying upslope from a specified point on a stream All.
Integrated Ecological Assessment February 28, 2006 Long-Term Plan Annual Update Carl Fitz Recovery Model Development and.
Nutrient Cycling and Retention
BASINS 2.0 and The Trinity River Basin By Jóna Finndís Jónsdóttir.
The University of Mississippi Geoinformatics Center NASA MRC RPC – 11 July 2007 Evaluating the Integration of a Virtual ET Sensor into AnnGNPS Model Rapid.
October 12, 2015 Iowa State University Indrajeet Chaubey Purdue University Water Quality.
Habitat Mapping of High Level Indicators at Multiple Scales for Fish and Wildlife.
Impacts of Riparian Ecosystems on Water Quality in the Western Upper Suwannee River Watershed Richard Lowrance, George Vellidis, David Bosch, Joe Sheridan,
15 Feet : Minimum Width for Zone 1 Zone 1 Functions: Bank Stabilization Shading (water temperature control) Flood Protection Stream Inputs: Structural.
National Assessment for Cropland. Analytical Approach Sampling and modeling approach based on a subset of NRI sample points. Farmer survey conducted to.
Precision Management beyond Fertilizer Application Hailin Zhang.
1 UIUC ATMOS 397G Biogeochemical Cycles and Global Change Lecture 18: Nitrogen Cycle Don Wuebbles Department of Atmospheric Sciences University of Illinois,
Nitrogen loading from forested catchments Marie Korppoo VEMALA catchment meeting, 25/09/2012 Marie Korppoo, Markus Huttunen 12/02/2015 Open DATA: Nutrient.
Riparian Buffers for Water Resource Protection Michael R. Burchell II Associate Professor and Extension Specialist Department of Biological and Agricultural.
GIS M ETHODOLOGY Swearing Creek Watershed Restoration Plan 8/26/2015 Piedmont Triad Regional Council.
Agricultural Soil and Water Conservation Stewardship
Using RMMS to Track the Implementation of Watershed-based Plans
Conservation Reserve Program Acres in Iowa
Forested Watershed Management:
Reading: Applied Hydrology Sections 5.1 and 5.2
SWAT – Land Phase of the Hydrologic Cycle
Presentation transcript:

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

Outline n Model Components n Applications of REMM n Integration with watershed models/other ongoing work

REMM: Components n Adding pesticides hydrology sediment vegetative growth nutrient dynamics

Three Zone Buffer System

Riparian Ecosystem Management Model n Quantify water quality benefits of multiple zone buffers and account for: n Climate (either real or synthetic) n Slope (variable among zones) n Soils (hydrologic, nutrient, carbon) n Vegetation (above and below) n loadings from nonpoint source

REMM: Vegetation Types coniferous trees deciduous trees herbaceous perennials/ annuals annuals

REMM: Vegetation Upper canopy/lower canopy Multiple vegetation types in both canopies based on percent cover Any/all vegetation can be in each zone

Phosphorus Pools in Soil and Litter

Nitrogen Pools in Soil and Litter

Litter and Soil Interactions in REMM

REMM: Input Required n Upland inputs – daily surface runoff and subsurface flow, associated sediment and chemistry n Daily Weather Data n Site Description n Soil Characteristics n Erosion Factors n Vegetation Characteristics

REMM: Documentation n Coded in C++, primarily by R.G. Williams n Executable version available for download n Editing tools to build data sets available for download n Text of users guide available online n Graphical user interface developed by L. S. Altier at Cal State.

REMM: Documentation n Published as USDA Conservation Research Report No. 46 in We have copies!! n General article on REMM structure with some sensitivity analysis in JSWC n REMM tested (validation) in two articles in Trans. ASAE n Applications of REMM for coastal plain systems published in JAWRA and Trans. ASAE

Uses for REMM n Predict load reductions for buffer scenarios n Predict outputs to streams for different nonpoint source loadings n Predict changes in pollutant transport processes

Uses for REMM n Compare buffers with different vegetation n Predict changes in pollutant removal mechanisms n Examine behavior of riparian systems as represented by REMM

Example - Buffer Scenarios n 14 buffers ranging from minimum Zone 1 buffer (5 m) to 52 m three zone buffer n Simulated both conventional row crop loading (normal) and dairy lagoon effluent loading (high).

Loading Scenarios

Buffer Scenarios

Total Water Output

Total N Output

Total N load reduction

Sediment Output

Sediment Load Reduction

Use of REMM to Simulate Mature Buffer on Highly P Loaded Soils (All values kg P/ha) ResidueHumusLabile Inorganic Active Inorganic Stable Inorganic Litter +Soil (Base) Litter+ Soil (High)

Long Term Phosphorus Losses from Buffer with Highly Enriched Soil P

After about 500 years – near background levels

Use of REMM to simulate mature buffer receiving increased loadings of P n Increase the P pools in buffer from measured (base case) to 10x base case n Increase the dissolved P input in surface runoff from measured (base case) to 10x base case

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 18,6806 to 60

Model nonpoint source pollution control by a wide range of buffers

Future Work with REMM n Integration with ARS watershed models – SWAT and AnnAGNPS n Testing with data from ARS buffer research sites – currently working on Beltsville site, Ames, Corvallis, Coshocton, Florence, Oxford, Tifton, University Park. n Addition of new components for pesticides to be compatible with WS models n Consultation with diverse groups of users

Integration with SWAT n Conceptually fits between upland sources areas and channel processes. n Preliminary work plan developed between modeling teams

Integration with SWAT n Require surface and subsurface outputs from source areas n Change from 3 zone to variable zone with default of one zone. Alternatively, change to one zone.

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

Integration with SWAT n Change from 3 layer to multiple layer, default = 3. n Keep all the soil and litter pools. n Initialize all soil carbon pools directly from a soil organic matter value.

Integration with SWAT n Initialize soil organic N and soil organic P pools directly from SOC pools based on C/N and C/P ratios. n Standardize temperature and water factors

Integration with SWAT - General n Functions of riparian zones will vary with stream order n Some will receive inputs from source areas n Some will receive inputs from upstream watersheds

Integration with SWAT -Channels n Can provide some dynamic inputs such as root biomass and coarse woody debris inputs needed to model streams and streambanks

Integration with SWAT - VFS n 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?