Examining
wetland loss and
potential
restoration
opportunities in
the Sandusky
watershed, Ohio
Methodology for a
GIS-based wetland
function assessment
Outline of Today’s Topics
 Introduction
 Watershed Plans and Wetland Functions
 Modeling Historic Wetlands
 GIS Assessment of Wetland Functions
 Enhancing the National Wetlands Inventory
 Assigning and Mapping Wetland Functions
 Results
 Comparing historic and present conditions
 Conclusions and Next Steps
Introduction
Background &
Purpose Today
 Based on report
“Methods and
Results for a
Geographic
Information System
Landscape Model
of Wetland
Functions in the
Sandusky
Subbasin”
http://goo.gl/reEXoN
Introduction
Great
Lakes
Basin
Introduction
Sandusky
Watershed
 1,827 square miles
 USGS “HUC” 8 –
subbasin level
Introduction
Sandusky
Watershed
 Predominantly
cultivated and urban
land
 2012 Population
around 258,000
Introduction
Improving watershed plans
 Using landscape-level
wetland functional
analysis to make
watershed plan more
specific
 Percentage and type of
wetlands and functions
are part of complete
watershed plan
Watershed Plans
Comparing
Historic wetlands
 How to map historic
wetlands and
compare their
functions to current
conditions
Historic Wetlands
Modeling
wetlands
 Vegetation records
 Current soil maps
(NRCS)
 Current hydrologic
layers (or historic!)
Historic Wetlands
Modeling
wetlands
 Vegetation records
 Current soil maps
(NRCS)
 Current hydrologic
layers (or historic!)
Historic Wetlands
Modeling
wetlands
 Wetland model
results on a Digital
Elevation Model
surface
Historic Wetlands
Validating
the model
 Do we believe the
distribution of historic
wetlands is valid?
 Let’s check it against
other data
Historic Wetlands
Historic Versus
Current Wetlands
Historic Wetlands
Pre-European
Settlement Wetlands
Current Wetlands Difference
Forested
Wetlands
159,485 acres 15,436 acres 90% loss
Emergent
Wetlands
1,578 acres 11,859 acres
6.5-fold
increase
Scrub-Shrub
Wetlands
16,084 acres 2,484 acres 85% loss
Open Water 14,676 acres 8,009 acres 55% loss
TOTAL 191,823 acres 37,788 acres 78% loss
Total vegetated
only
177,147 acres 29,779 acres 81% loss
Physiographic
provinces
 Huron-Erie Lake
plains – ancient Lake
Maumee sediments
 Glacial till plains
 Isolated ancient lake
sediments
Historic Wetlands
Physiographic
provinces
 Huron-Erie Lake
plains – ancient Lake
Maumee sediments
 Glacial till plains
 Isolated ancient lake
sediments
Historic Wetlands
Physiography
& wetlands
 Distribution pattern of
historic wetlands in a
physiographic context
 Reasonable
agreement
 Appears to be a valid
interpretation
Historic Wetlands
Enhancing the FWS’ NWI
 How to rapidly and
methodically assign
hydrogeomorphic
descriptors to the
U.S. Fish and
Wildlife Service’s
National Wetlands
Inventory
Enhancing the NWI
Origins &
previous work
 R.W. Tiner, original
descriptor keys (1995)
 Michigan Department of
Environmental Quality
(MDEQ)
 Montana Natural Heritage
Program (MNHP)
 Conservation
Management Institute
(CMI) Virginia Tech (Long
Island, Delaware)
Enhancing the NWI
The LLWW descriptors
Geomorphic
 L andscape
position
 L andform
Hydrologic
 W aterbody type
 W ater flow path
Enhancing the NWI
…hydrogeomorphic descriptors
Partial Automation for LLWW
 Why automate?
 Sorting, selecting, and coding wetlands in the
GIS, based on:
 Whether within or outside of other layers (e.g.,
Hydrography, DEM analyses, and soils)
 Possessing traits already assigned (e.g. NWI
water regimes or acreage of wetland)
Enhancing the NWI
L andform
Slope
(SL)
Wetlands occurring on a slope of
5% or greater, as indicated by a
slope raster generated from the
OSIP 2.5-foot DEM
35.66%
(3,566/10,000 records)
Island
(IL)
A wetland completely surrounded by
water, as indicated by the NHD
Waterbody layer.
Less than 1 percent
(36/10,000)
Fringe
(FR)
Wetland occurs in the shallow water
zone of a permanent waterbody. *NWI
water regimes F, G, and H
27.13%
(2,713/10,000)
Floodp
lain
(FP)
Wetland occurs on an active alluvial
plain along a river and some
streams, as defined through the use
of FEMA floodplain data.
8.02%
(802/10,000 FP; 436 FPba,
366 FPfl)
Basin
(BA)
Wetland occurs in a distinct
depression.
*NWI water regimes C and E
15.2%
(1,520/10,000)
Flat
(FL)
Wetland occurs on a nearly level
landform.
*NWI water regimes A, B, and K.
13.63%
(1,363/10,000)
Enhancing the NWI
Slope – part of Landform
Enhancing the NWI
Floodplain –
part of Landform
 FEMA 100-year flood
data
Enhancing the NWI
L andscape Position
Enhancing the NWI
Lentic
(LE)
Wetland in or along lake (waterbody >= 5
acres) or within basin, defined as area
contiguous to lake affected by rising lake
levels. Contiguous area of effect found
through Arc Hydro GIS analysis. This
landscape position type should be analyzed
and assigned first.
5.54%
(554/10,000)
Lotic
River
(LR)
Wetland associated with (directly intersected
by) a river or its active floodplain.
7.89%
(789/10,000)
Lotic
Stream
(LS)
Wetland is associated with (directly intersected
by) a stream or its active floodplain.
13.97%
(1,397/10,000)
Terrene
(TE)
Wetland that is: 1. Located in or borders
pond, or wetland is a pond, (waterbody < 5
acres in size surrounded by upland); 2. Or,
adjacent to but is not affected by a stream
or river (located in or along, but NOT
periodically flooded stream); 3. Or,
completely surrounded by upland (non-
hydric soils).
72.60%
(7,260/10,000, of which
191, 1.91%, are
headwater wetlands)
L andscape Position
Enhancing the NWI
Lentic
(LE)
Lotic
River
(LR)
Lotic
Stream
(LS)
Terrene
(TE)
Lentic – part of L andscape
Position
 DEM analysis
 “ArcHydro” GIS tools
 Find drainage basins
 Define buffer
 Physiography & climate
 Lentic assignment
Enhancing the NWI
Headwaters – L andscape
Position
 Headwater
streams
 Terrene headwater
 Periodic flooding
 SSURGO data
Enhancing the NWI
Enhancing the NWI
W aterbody Type
Natural Pond
(PD1)
A natural pond that is less than 5 acres in
size.
6.4%
(640/10,000)
Diked and/or
Impounded Pond
(PD2)
A pond that is diked and/or impounded
and is less than 5 acres in size.
4.27%
(427/10,000)
Excavated Pond
(PD3)
A pond that excavated and is less than 5
acres in size.
26.17%
(2,617/10,000)
Natural Lake
(LK1)
A natural lake that is greater than 5 acres
in size.
Less than 1 percent
(62/10,000)
Dammed River
Valley
(LK2)
A lake (greater than 5 acres in size) and
created by damming a river valley.
Less than 1 percent
(40/10,000)
Excavated Lake
(LK3)
A lake that is excavated and greater than
5 acres in size.
1.06%
(106/10,000)
River
(RV)
A polygonal feature in the NHD (or Ohio
hydrography dataset) or NWI dataset.
Less than 1 percent
(28/10,000)
Cowardin codes
 Explain Cowardin codes
 Wetland code splitter
 Examples/show how waterbody type
descriptor comes directly from Cowardin code
[illustration, show and highlight]
W ater Flow Path
Enhancing the NWI
Outflow
(OU)
Water flows out of the wetland naturally, but does not flow into this
wetland from another source.
Less than 1
percent
(75/10,000)
Outflow
Intermittent
(OI)
Water flows out of the wetland intermittently, but does not flow into this
wetland from another source.
Less than 1
percent
(63/10,000)
Outflow Artificial
(OA)
Water flows out of the wetland, in a channel that was manipulated or
artificially created.
Less than 1
percent
(53/10,000)
Bidirectional
(BI)
Wetland along a lake and not along a river or stream entering this type
of waterbody; its water levels are subjected to the rise and fall of the
lake levels. Lentic wetlands with no streams intersecting them.
3.48%
(348/10,000)
Throughflow
(TH)
Water flows through the wetland, often coming from upstream sources
(typically wetlands along rivers and streams). Lentic wetlands with
streams running through them are classified as throughflow (or
throughflow intermittent, if stream is classed as intermittent).
19.15%
(1,915/10,000)
Throughflow
Intermittent
(TI)
Water flows through the wetland intermittently, often coming from
upstream sources (typically wetlands along streams).
11.02%
(1,102/10,000)
Throughflow
Artificial
(TA)
Water flows through the wetland, in a channel that was manipulated or
artificially created.
1.16%
(116/10,000)
Isolated
(IS)
Wetland is typically surrounded by upland (nonhydric soil); receives
precipitation and runoff from adjacent areas with no apparent outflow.
63.85%
(6,385/10,000)
W ater Flow Path
Enhancing the NWI
Outflow
(OU)
Outflow Intermittent
(OI)
Outflow Artificial
(OA)
Bidirectional
(BI)
Throughflow
(TH)
Throughflow
Intermittent
(TI)
Throughflow Artificial
(TA)
Isolated
(IS)
GIS data –
USGS Hydrography layers
Enhancing the NWI
Assigning wetland functions
 How to define your
functions of interest
and map the
wetlands that provide
them
Wetland Functions
 Flood water storage
 Streamflow
maintenance
 Nutrient
transformation
 Sediment retention
 Shoreline
stabilization
 Fish habitat
 Stream shading
 Bird habitat
 Amphibian habitat
Natural, physical, or
biological process
occurring within a
wetland – as well as
within connected
waterways and
ecosystems.
Processes may
sustain and
maintain wetland, or
may be an
incidental function
that the wetland
provides.
Wetland Functions
Defining significance of a
wetland function
 Significance is a relative measure - - comparison of
wetlands to each other
 Meant to classify and rank wetlands for ability to
perform natural processes
 “High” “Medium” and “Low” - - used without any
social/regulatory value or quantitative limits
 “High” simply means “performing process at
better/higher rate than other wetlands in area”
Wetland Functions
How is it performed?
NWI Cowardin
wetland type
designation
LLWW
hydrogeomorphic
descriptors
Additional GIS data
(soils, NHD)
Functional
significance
selection
criteria
Wetland Functions
Floodwater Results
Functional
Significance
Selection Criteria
Results
NWI Historic
High
 Wetlands along streams and rivers
 Island wetlands
 Ponds that are throughflow, throughflow
intermittent, bidirectional, and isolated and
that are = or > 0.59 acres
31.76%
(13,175
of 41,489
acres)
21.48%
(41,338 of 192,451
acres)
Moderate
 All of the above in the High category that
are < 0.59 acres
 Terrene basin isolated
 Terrene & outflow or outflow intermittent
wetlands
 Other ponds and terrene wetlands
associated with ponds connected to
hydrography network
 Terrene wetlands that are associated with
ponds
 All lake-side wetlands not already ranked
high
40.16%
(16,661
of 41,489
acres)
64.09%
(123,350
of 192,451 acres)
Low  All remaining wetlands
28.09%
(11,653
of 41,489
acres)
14.43%
(27,763
of 192,451 acres)
Floodwater storage
Wetland Functions
Nutrient transformation
Wetland Functions
Nutrient Results
Functional
Significance
Selection Criteria
Results
NWI Historic
High
 All headwater wetlands (hw) that
are = or > 0.59 acres
7.75%
(3,215 of
41,489 acres)
32.60%
(62,741 of
192,451 acres)
Moderate
 All headwater wetlands (hw) that
are < 0.59 acres
 Lotic stream and river floodplain
and fringe wetlands
 Lotic stream basin wetlands
 Throughflow & outflow ponds &
lakes
 Terrene outflow wetlands
associated with a pond
 Terrene outflow wetlands
outflowing to hydrography
network
21.62%
(8,972 of
41,489 acres)
19.35%
(37,246 of
192,451 acres)
Low  All remaining wetlands
70.63%
(29,302 of
41,489 acres)
48.05%
(92,464 of
192,451 acres)
Functional significance
 Total composite scores
 [Illustration of example table]
Total composite scores
Wetland Functions
Historic Wetlands
Historic Wetlands
Historic Wetlands
Historic Wetlands
Historic versus current wetlands
– the takeaway
Ideal targets for wetland management in the
Sandusky watershed –
 Wetland types
 Vegetated palustrine and lacustrine
 Non-open water
 Located
 In lowlands
 In geologic pre-history lake sediments
 Flood occasionally or frequently
Historic Wetlands
Full
Circle
 New questions to ask or
watershed plan strategies
to consider that may need
analysis?
Conclusion
Next steps
Acknowledgements
 Conversations with members of the Conservation
Management Institute (CMI) at Virginia Tech provided
insight, as well as the published NWIPlus and LLWFA
datasets from CMI’s work with the Delaware Department
of Natural Resources and Environmental Control.
 The Montana Natural Heritage Program (MNHP) is also in
the process of developing a LLWFA methodology and
their publications and presentations were a useful
resource.
 Current Oak Ridge Institute for Science and Education
(ORISE) fellowship-funded wetland function research was
also instrumental for methodology development.
Today’s
Topics
Introduction
Today’s
Topics
 How an analysis of wetland
function contributes to a
watershed plan
Introduction
Today’s
Topics
 How to add new
descriptors to the National
Wetlands Inventory for use
in the wetland function
analysis
Introduction
Today’s
Topics
 How to map wetland
functions using the newly
assigned descriptors as
well as other GIS data
Introduction
Today’s
Topics
 How to map historic
wetlands and compare
their functions to current
conditions
Introduction
Today’s
Topics
 Bringing it all back together
- - the watershed plan and
management strategies
Introduction
Today’s
Topics
 How to map historic
wetlands and compare
their functions to current
conditions
Introduction
Today’s
Topics
 How to add new
descriptors to the National
Wetlands Inventory for use
in the wetland function
analysis
Introduction
Floodwater storage
Wetland Functions
Functional
Significance
Selection Criteria
High
Wetlands along streams and rivers, Island wetlands, Ponds
that are throughflow, throughflow intermittent, bidirectional,
and isolated, and, that are = or > 0.59 acres
Moderate
All of above in the High category < 0.59 acres
Terrene basin isolated (moved from High in MDEQ criteria to
Moderate here)
Terrene & outflow or outflow intermittent wetlands
Other ponds and terrene wetlands associated with ponds
connected to hydrography network
Terrene wetlands that are associated with ponds
All lake-side wetlands not already ranked high
Low
All remaining wetlands
Nutrient transformation
Wetland Functions
Functional
Significance
Selection Criteria
High
Vegetated wetlands from NWI P_ (AB, EM, SS, FO, and
mixes) with water regime C, E, F, H, G. No open water types –
with SSURGO Flood Frequency of “Frequent” or “Occasional”
Moderate
Vegetated wetlands from NWI P_ (AB, EM, SS, FO, and
mixes) with water regime C, E, F, H, G. No open water types –
with SSURGO Flood Frequency of “Rare” or “None” (“Very
Rare” not found in this data set)
Seasonally Saturated and Temporarily Flooded Vegetated
Wetlands from NWI P_ (AB, EM, SS, FO, and mixes) with A,
B water regime or lacustrine vegetated wetlands (no open
water) – with SSURGO Flood Frequency of “Frequent” or
“Occasional”
Low All remaining wetlands

Examining wetland loss and potential restoration opportunities in the Sandusky watershed, Ohio

  • 1.
    Examining wetland loss and potential restoration opportunitiesin the Sandusky watershed, Ohio Methodology for a GIS-based wetland function assessment
  • 2.
    Outline of Today’sTopics  Introduction  Watershed Plans and Wetland Functions  Modeling Historic Wetlands  GIS Assessment of Wetland Functions  Enhancing the National Wetlands Inventory  Assigning and Mapping Wetland Functions  Results  Comparing historic and present conditions  Conclusions and Next Steps Introduction
  • 3.
    Background & Purpose Today Based on report “Methods and Results for a Geographic Information System Landscape Model of Wetland Functions in the Sandusky Subbasin” http://goo.gl/reEXoN Introduction
  • 4.
  • 5.
    Sandusky Watershed  1,827 squaremiles  USGS “HUC” 8 – subbasin level Introduction
  • 6.
    Sandusky Watershed  Predominantly cultivated andurban land  2012 Population around 258,000 Introduction
  • 7.
    Improving watershed plans Using landscape-level wetland functional analysis to make watershed plan more specific  Percentage and type of wetlands and functions are part of complete watershed plan Watershed Plans
  • 8.
    Comparing Historic wetlands  Howto map historic wetlands and compare their functions to current conditions Historic Wetlands
  • 9.
    Modeling wetlands  Vegetation records Current soil maps (NRCS)  Current hydrologic layers (or historic!) Historic Wetlands
  • 10.
    Modeling wetlands  Vegetation records Current soil maps (NRCS)  Current hydrologic layers (or historic!) Historic Wetlands
  • 11.
    Modeling wetlands  Wetland model resultson a Digital Elevation Model surface Historic Wetlands
  • 12.
    Validating the model  Dowe believe the distribution of historic wetlands is valid?  Let’s check it against other data Historic Wetlands
  • 13.
    Historic Versus Current Wetlands HistoricWetlands Pre-European Settlement Wetlands Current Wetlands Difference Forested Wetlands 159,485 acres 15,436 acres 90% loss Emergent Wetlands 1,578 acres 11,859 acres 6.5-fold increase Scrub-Shrub Wetlands 16,084 acres 2,484 acres 85% loss Open Water 14,676 acres 8,009 acres 55% loss TOTAL 191,823 acres 37,788 acres 78% loss Total vegetated only 177,147 acres 29,779 acres 81% loss
  • 14.
    Physiographic provinces  Huron-Erie Lake plains– ancient Lake Maumee sediments  Glacial till plains  Isolated ancient lake sediments Historic Wetlands
  • 15.
    Physiographic provinces  Huron-Erie Lake plains– ancient Lake Maumee sediments  Glacial till plains  Isolated ancient lake sediments Historic Wetlands
  • 16.
    Physiography & wetlands  Distributionpattern of historic wetlands in a physiographic context  Reasonable agreement  Appears to be a valid interpretation Historic Wetlands
  • 17.
    Enhancing the FWS’NWI  How to rapidly and methodically assign hydrogeomorphic descriptors to the U.S. Fish and Wildlife Service’s National Wetlands Inventory Enhancing the NWI
  • 18.
    Origins & previous work R.W. Tiner, original descriptor keys (1995)  Michigan Department of Environmental Quality (MDEQ)  Montana Natural Heritage Program (MNHP)  Conservation Management Institute (CMI) Virginia Tech (Long Island, Delaware) Enhancing the NWI
  • 19.
    The LLWW descriptors Geomorphic L andscape position  L andform Hydrologic  W aterbody type  W ater flow path Enhancing the NWI …hydrogeomorphic descriptors
  • 20.
    Partial Automation forLLWW  Why automate?  Sorting, selecting, and coding wetlands in the GIS, based on:  Whether within or outside of other layers (e.g., Hydrography, DEM analyses, and soils)  Possessing traits already assigned (e.g. NWI water regimes or acreage of wetland) Enhancing the NWI
  • 21.
    L andform Slope (SL) Wetlands occurringon a slope of 5% or greater, as indicated by a slope raster generated from the OSIP 2.5-foot DEM 35.66% (3,566/10,000 records) Island (IL) A wetland completely surrounded by water, as indicated by the NHD Waterbody layer. Less than 1 percent (36/10,000) Fringe (FR) Wetland occurs in the shallow water zone of a permanent waterbody. *NWI water regimes F, G, and H 27.13% (2,713/10,000) Floodp lain (FP) Wetland occurs on an active alluvial plain along a river and some streams, as defined through the use of FEMA floodplain data. 8.02% (802/10,000 FP; 436 FPba, 366 FPfl) Basin (BA) Wetland occurs in a distinct depression. *NWI water regimes C and E 15.2% (1,520/10,000) Flat (FL) Wetland occurs on a nearly level landform. *NWI water regimes A, B, and K. 13.63% (1,363/10,000) Enhancing the NWI
  • 22.
    Slope – partof Landform Enhancing the NWI
  • 23.
    Floodplain – part ofLandform  FEMA 100-year flood data Enhancing the NWI
  • 24.
    L andscape Position Enhancingthe NWI Lentic (LE) Wetland in or along lake (waterbody >= 5 acres) or within basin, defined as area contiguous to lake affected by rising lake levels. Contiguous area of effect found through Arc Hydro GIS analysis. This landscape position type should be analyzed and assigned first. 5.54% (554/10,000) Lotic River (LR) Wetland associated with (directly intersected by) a river or its active floodplain. 7.89% (789/10,000) Lotic Stream (LS) Wetland is associated with (directly intersected by) a stream or its active floodplain. 13.97% (1,397/10,000) Terrene (TE) Wetland that is: 1. Located in or borders pond, or wetland is a pond, (waterbody < 5 acres in size surrounded by upland); 2. Or, adjacent to but is not affected by a stream or river (located in or along, but NOT periodically flooded stream); 3. Or, completely surrounded by upland (non- hydric soils). 72.60% (7,260/10,000, of which 191, 1.91%, are headwater wetlands)
  • 25.
    L andscape Position Enhancingthe NWI Lentic (LE) Lotic River (LR) Lotic Stream (LS) Terrene (TE)
  • 26.
    Lentic – partof L andscape Position  DEM analysis  “ArcHydro” GIS tools  Find drainage basins  Define buffer  Physiography & climate  Lentic assignment Enhancing the NWI
  • 27.
    Headwaters – Landscape Position  Headwater streams  Terrene headwater  Periodic flooding  SSURGO data Enhancing the NWI
  • 28.
  • 29.
    W aterbody Type NaturalPond (PD1) A natural pond that is less than 5 acres in size. 6.4% (640/10,000) Diked and/or Impounded Pond (PD2) A pond that is diked and/or impounded and is less than 5 acres in size. 4.27% (427/10,000) Excavated Pond (PD3) A pond that excavated and is less than 5 acres in size. 26.17% (2,617/10,000) Natural Lake (LK1) A natural lake that is greater than 5 acres in size. Less than 1 percent (62/10,000) Dammed River Valley (LK2) A lake (greater than 5 acres in size) and created by damming a river valley. Less than 1 percent (40/10,000) Excavated Lake (LK3) A lake that is excavated and greater than 5 acres in size. 1.06% (106/10,000) River (RV) A polygonal feature in the NHD (or Ohio hydrography dataset) or NWI dataset. Less than 1 percent (28/10,000)
  • 30.
    Cowardin codes  ExplainCowardin codes  Wetland code splitter  Examples/show how waterbody type descriptor comes directly from Cowardin code [illustration, show and highlight]
  • 31.
    W ater FlowPath Enhancing the NWI Outflow (OU) Water flows out of the wetland naturally, but does not flow into this wetland from another source. Less than 1 percent (75/10,000) Outflow Intermittent (OI) Water flows out of the wetland intermittently, but does not flow into this wetland from another source. Less than 1 percent (63/10,000) Outflow Artificial (OA) Water flows out of the wetland, in a channel that was manipulated or artificially created. Less than 1 percent (53/10,000) Bidirectional (BI) Wetland along a lake and not along a river or stream entering this type of waterbody; its water levels are subjected to the rise and fall of the lake levels. Lentic wetlands with no streams intersecting them. 3.48% (348/10,000) Throughflow (TH) Water flows through the wetland, often coming from upstream sources (typically wetlands along rivers and streams). Lentic wetlands with streams running through them are classified as throughflow (or throughflow intermittent, if stream is classed as intermittent). 19.15% (1,915/10,000) Throughflow Intermittent (TI) Water flows through the wetland intermittently, often coming from upstream sources (typically wetlands along streams). 11.02% (1,102/10,000) Throughflow Artificial (TA) Water flows through the wetland, in a channel that was manipulated or artificially created. 1.16% (116/10,000) Isolated (IS) Wetland is typically surrounded by upland (nonhydric soil); receives precipitation and runoff from adjacent areas with no apparent outflow. 63.85% (6,385/10,000)
  • 32.
    W ater FlowPath Enhancing the NWI Outflow (OU) Outflow Intermittent (OI) Outflow Artificial (OA) Bidirectional (BI) Throughflow (TH) Throughflow Intermittent (TI) Throughflow Artificial (TA) Isolated (IS)
  • 33.
    GIS data – USGSHydrography layers Enhancing the NWI
  • 34.
    Assigning wetland functions How to define your functions of interest and map the wetlands that provide them Wetland Functions
  • 35.
     Flood waterstorage  Streamflow maintenance  Nutrient transformation  Sediment retention  Shoreline stabilization  Fish habitat  Stream shading  Bird habitat  Amphibian habitat Natural, physical, or biological process occurring within a wetland – as well as within connected waterways and ecosystems. Processes may sustain and maintain wetland, or may be an incidental function that the wetland provides. Wetland Functions
  • 36.
    Defining significance ofa wetland function  Significance is a relative measure - - comparison of wetlands to each other  Meant to classify and rank wetlands for ability to perform natural processes  “High” “Medium” and “Low” - - used without any social/regulatory value or quantitative limits  “High” simply means “performing process at better/higher rate than other wetlands in area” Wetland Functions
  • 37.
    How is itperformed? NWI Cowardin wetland type designation LLWW hydrogeomorphic descriptors Additional GIS data (soils, NHD) Functional significance selection criteria Wetland Functions
  • 38.
    Floodwater Results Functional Significance Selection Criteria Results NWIHistoric High  Wetlands along streams and rivers  Island wetlands  Ponds that are throughflow, throughflow intermittent, bidirectional, and isolated and that are = or > 0.59 acres 31.76% (13,175 of 41,489 acres) 21.48% (41,338 of 192,451 acres) Moderate  All of the above in the High category that are < 0.59 acres  Terrene basin isolated  Terrene & outflow or outflow intermittent wetlands  Other ponds and terrene wetlands associated with ponds connected to hydrography network  Terrene wetlands that are associated with ponds  All lake-side wetlands not already ranked high 40.16% (16,661 of 41,489 acres) 64.09% (123,350 of 192,451 acres) Low  All remaining wetlands 28.09% (11,653 of 41,489 acres) 14.43% (27,763 of 192,451 acres)
  • 39.
  • 40.
  • 41.
    Nutrient Results Functional Significance Selection Criteria Results NWIHistoric High  All headwater wetlands (hw) that are = or > 0.59 acres 7.75% (3,215 of 41,489 acres) 32.60% (62,741 of 192,451 acres) Moderate  All headwater wetlands (hw) that are < 0.59 acres  Lotic stream and river floodplain and fringe wetlands  Lotic stream basin wetlands  Throughflow & outflow ponds & lakes  Terrene outflow wetlands associated with a pond  Terrene outflow wetlands outflowing to hydrography network 21.62% (8,972 of 41,489 acres) 19.35% (37,246 of 192,451 acres) Low  All remaining wetlands 70.63% (29,302 of 41,489 acres) 48.05% (92,464 of 192,451 acres)
  • 42.
    Functional significance  Totalcomposite scores  [Illustration of example table]
  • 43.
  • 44.
  • 45.
  • 46.
  • 47.
  • 48.
    Historic versus currentwetlands – the takeaway Ideal targets for wetland management in the Sandusky watershed –  Wetland types  Vegetated palustrine and lacustrine  Non-open water  Located  In lowlands  In geologic pre-history lake sediments  Flood occasionally or frequently Historic Wetlands
  • 49.
    Full Circle  New questionsto ask or watershed plan strategies to consider that may need analysis? Conclusion
  • 50.
  • 51.
    Acknowledgements  Conversations withmembers of the Conservation Management Institute (CMI) at Virginia Tech provided insight, as well as the published NWIPlus and LLWFA datasets from CMI’s work with the Delaware Department of Natural Resources and Environmental Control.  The Montana Natural Heritage Program (MNHP) is also in the process of developing a LLWFA methodology and their publications and presentations were a useful resource.  Current Oak Ridge Institute for Science and Education (ORISE) fellowship-funded wetland function research was also instrumental for methodology development.
  • 52.
  • 53.
    Today’s Topics  How ananalysis of wetland function contributes to a watershed plan Introduction
  • 54.
    Today’s Topics  How toadd new descriptors to the National Wetlands Inventory for use in the wetland function analysis Introduction
  • 55.
    Today’s Topics  How tomap wetland functions using the newly assigned descriptors as well as other GIS data Introduction
  • 56.
    Today’s Topics  How tomap historic wetlands and compare their functions to current conditions Introduction
  • 57.
    Today’s Topics  Bringing itall back together - - the watershed plan and management strategies Introduction
  • 58.
    Today’s Topics  How tomap historic wetlands and compare their functions to current conditions Introduction
  • 59.
    Today’s Topics  How toadd new descriptors to the National Wetlands Inventory for use in the wetland function analysis Introduction
  • 60.
    Floodwater storage Wetland Functions Functional Significance SelectionCriteria High Wetlands along streams and rivers, Island wetlands, Ponds that are throughflow, throughflow intermittent, bidirectional, and isolated, and, that are = or > 0.59 acres Moderate All of above in the High category < 0.59 acres Terrene basin isolated (moved from High in MDEQ criteria to Moderate here) Terrene & outflow or outflow intermittent wetlands Other ponds and terrene wetlands associated with ponds connected to hydrography network Terrene wetlands that are associated with ponds All lake-side wetlands not already ranked high Low All remaining wetlands
  • 61.
    Nutrient transformation Wetland Functions Functional Significance SelectionCriteria High Vegetated wetlands from NWI P_ (AB, EM, SS, FO, and mixes) with water regime C, E, F, H, G. No open water types – with SSURGO Flood Frequency of “Frequent” or “Occasional” Moderate Vegetated wetlands from NWI P_ (AB, EM, SS, FO, and mixes) with water regime C, E, F, H, G. No open water types – with SSURGO Flood Frequency of “Rare” or “None” (“Very Rare” not found in this data set) Seasonally Saturated and Temporarily Flooded Vegetated Wetlands from NWI P_ (AB, EM, SS, FO, and mixes) with A, B water regime or lacustrine vegetated wetlands (no open water) – with SSURGO Flood Frequency of “Frequent” or “Occasional” Low All remaining wetlands

Editor's Notes

  • #2 Welcome and thank you Today, take a look at how to use a geographic information system To methodically and quickly
  • #4 Original task order from EPA, focus of larger project Great Lakes Basin, starting with a small watershed Sandusky watershed, northern Ohio “Use landscape modeling techniques to identify opportunities to restore, create and enhance wetlands” Examining wetland loss Identifying potential restoration opportunities Goal TODAY is to understand how, in general, the GIS-based landscape modeling method works and why it’s important
  • #5 Framing and perspective First, WHERE is the AREA that are we talking about today Why Why does this AREA matter, (then, WHY talk about WETLAND FUNCTION for this area) Great Lakes region Great Lakes Regional Collaboration (GLRC), 2004, protect, restore region Great Lakes Restoration Initiative (GLRI) – 2010 to 2014, created by GLRC “Restoring and enhancing wetlands to improve water quality and water quantity” We need to test one area first, see if it offers benefit to the basin
  • #6 Size About 1800 square miles (1,827 square miles) USGS HUC 8, the Sandusky subbasin Term “watershed” used to broadly describe family of hydrologic unit boundary names or to talk in general about a specific hydrologic unit (“the Sandusky watershed”) Use subbasin or watershed interchangeably during talk Drainages, major rivers Located on Lake Erie Most prominent drainage is Sandusky River Drains to Sandusky Bay
  • #7 Predominantly agricultural and urban Cities Sandusky, Fremont 2012 Population: around 258,000 Only counting five main counties that span watershed (258,022: 60,150 Sandusky County, 76,398 Erie County, 56,018 Seneca County, 22,607 Wyandot County, 42,849 Crawford County)
  • #9 If we want to quantify loss of wetland function in watershed Need some way to compare CURRENT functional analysis to a PREVIOUS point Ideal comparison is natural state of watershed, prior to: wide-scale agricultural modifications, deforestation, roadway construction, and hydromodification, such as canals, ditches, reservoirs, as well as municipal storm sewer systems That starting point needs to be interpretted…
  • #10 That starting point in Ohio is generally taken to be around the late 1700s Some call it “pre-European settlement” conditions, or historic is also used Our starting point is the work of RB Gordon, 1966, the “Original vegetation of Ohio at the earliest land surveys” Digitized by ODNR for use in GIS, 2003 Overall goal is to create a GIS layer that is like the starting NWI, but is for pre-historic wetlands Or, in other words, Cowardin codes like are found in the NWI From the vegetation map, design a correlation schema between NWI Cowardin code vegetative classes and the historic vegetation assign those vegetative classes to the polygons in the GIS What we are trying to do is represent the potential types of wetlands that COULD have been present in hydric soils Second, we return to our National Resources Conservation Services SSURGO soils database Find current-day hydric soils in the SSURGO create correlation schema or crosswalk, as some call it between soil types and NWI water regimes Assign those water regimes Lastly, we need a dataset to represent historic hydrology In the absence of digitized historic maps of rivers, streams, lakes, and ponds Used the USGS’ National Hydrography Dataset - - take out manmade
  • #11 With those elements combined in GIS Can create a new historic wetland database, similar to the NWI This is our starting point for the LLWW and then functional analysis Use same steps are were applied for the NWI Show you some results of that functional analysis, but first let’s take a few more views of that historic wetland database And, let’s see if we believe the patterns of wetlands we are seeing
  • #12 Note wetlands clustering in the northern section of watershed Flat lowlands Rougher highlands Note patches of interpreted wetlands in south
  • #13 And, here it is compared to modern wetlands from the NWI, in orange Observe the strong patterns of clustering Not an even distribution of historic wetlands across the watershed Do we believe this pattern? Is it a good starting point for our comparison? Note the sharp line between historic wetlands in the north and sparse wetlands to south What are these patches of wetlands in the south I wanted to make sure, so I looked to compare it to other physiographic data
  • #15 Specifically, I sought out information on the overarching physiographic regions of Ohio Figure from Ohio Division of Geologic Survey, 1998 Don’t need to talk about physio definition, do it in one or two slides Physiographic province: characteristic geomorphology (shape of landforms) Often has specific subsurface rock type OR a specific geologic structure We are going to look in our study area, note three colors here Blue Teal-green Pale blue patches within teal And, the dividing line between the blue and teal-green, just south of Sandusky Bay
  • #16 Specifically, I sought out information on the overarching physiographic regions of Ohio Figure from Ohio Division of Geologic Survey, 1998 Physiographic province: characteristic geomorphology (shape of landforms) Often has specific subsurface rock type OR a specific geologic structure We are going to look in our study area, note three colors here Blue Teal-green Pale blue patches within teal And, the dividing line between the blue and teal-green, just south of Sandusky Bay
  • #17 In zoomed in view of our study area Three data layers presented here Pre-European settlement vegetation Interpreted historic wetlands Borders of physiographic provinces The blue to north and west of this line Ancient lake sediments The teal to south of line Glacial till And, isolated ancient lake sediments within till Line, Columbia Escarpment, Join of western edge of Columbus and Delaware Limestones and ancient Maumee Lake sediments Conclusion, increased wetlands within the ancient lake sediments Logical, hydric soils at bottom of lake in a lowland area would support wetlands And, rocky till not as likely to support wetlands With exception of isolated lake sediments, again
  • #19 More framing Original publications by R.W. Tiner in 1995, northeast part of country still updating descriptor keys today Currently, nationwide, multiple groups are working on AUTOMATION of this in GIS
  • #20 Landscape Position, Landform, Waterbody Type, and Water Flow Path (LLWW) Why do we need these additional descriptors? System of wetland classification Characterizes hydrogeomorphic qualities wetlands Enhancement to existing wetland classification systems provides information about - - where a wetland sits, such as along a river or stream or in a lake basin; whether that wetland is isolated or is perhaps the source or headwater of a stream, or might instead be located in the middle of a stream network; Identifies whether a waterbody associated with the wetland is natural or constructed; and provides an idea of the scale of that waterbody. Landscape Position - wetland location with respect to topography and impact on the wetland’s water source(s) Said another way, relationship between a wetland and nearby waterbodies Landform - refers to physical shape of wetland OR the landscape where it is located (sloped, flat, or depression; Floodplain or near waterbody) Waterbody type - applies only to permanent and deep, open water habitats; ponds, lakes, rivers; comes directly from NWI Cowardin codes as well as acreage of wetland (ponds and lakes, natural or constructed) Waterflow path - type of water associated with a wetland and the direction that water moves
  • #21 hand-screening methodology versus partially automated GIS screening Hand-screening: Loosely documented Multiple analysts Long time frame for a medium-to-large project All lead to inconsistent decisions and irregularities Partial automation with GIS: Implemented by a basic GIS operator Reduces time burden Reduces requirement for extensive involvement of specially trained interpreters Order of the definition is different from the order in which we perform in the analysis Work on the most effort to least effort principle
  • #22 We’re not going in depth about all the descriptors Landform - refers to physical shape of wetland OR the landscape where it is located (sloped, flat, or depression; floodplain or near waterbody) Will show examples of SLOPE FLOODPLAIN Order of operations undertaken in the GIS for LANDFORM is important
  • #23 high-resolution percent slope grid was created using the Ohio Statewide Imagery Program’s (OSIP) 2.5-meter resolution DEM data for the Sandusky subbasin. slope raster used to determine and assign the average percent slope value across each wetland polygon, allowed assignment of landform position class of slope (wetlands with slopes of 5% or greater). The remaining landform classes were assigned primarily based on each wetland’s NWI water regime contained within its Cowardin code assignment. The floodplain (FP) class was determined by coincidence of wetlands within the FEMA-designated floodplain areas. the landform position classes are not mutually exclusive, order of operations is significant. important to run landform analysis in exact order of slope-island-fringe-floodplain-basin-flat, as specified by Tiner (2011).
  • #25 Reminding audience that we are Landscape Position Wetland location with respect to topography and impact on the wetland’s water source(s) Said another way, relationship between a wetland and nearby waterbodies Will show examples of TWO of descriptors: Lentic Terrene Were selected for their importance (Terrene headwater wetlands) or complexity of implementation (Lentic)
  • #26 Illustration shows what these Landscape Positions are defined by How they are used in the analysis Lotic River and Lotic Stream, relatively straightforward Lentic, more criteria needed Terrene, more isolated, with one exception [Trim down for clarity and speed] Lentic (LE) Wetland in or along lake (waterbody >= 5 acres) or within basin, defined as area contiguous to lake affected by rising lake levels. Contiguous area of effect found through Arc Hydro GIS analysis. This landscape position type should be analyzed and assigned first. Lotic River (LR) Wetland associated with (directly intersected by) a river or its active floodplain. Lotic Stream (LS) Wetland is associated with (directly intersected by) a stream or its active floodplain. Terrene (TE) Wetland that is: 1. Located in or borders pond, or wetland is a pond, (waterbody < 5 acres in size surrounded by upland); 2. Or, adjacent to but is not affected by a stream or river (located in or along, but NOT periodically flooded stream); 3. Or, completely surrounded by upland (non-hydric soils).
  • #27 LENTIC – “wetlands within topographic basin containing lake and influenced by it” Finding limit of a lake’s influence Lake defined as 5 acres or greater Tiner stated, assign limits to lake’s influence based on the physiography and climate of the landscape under analysis Specifically, wetlands near shoreline periodically flooded by lake Used DEM and ArcHydro GIS tools to find drainage basin Then, select wetlands that Are within drainage area of lake AND Are within 500’ buffer of lake itself If short on time or budget, reasonable proxy is to just select wetlands within buffer distance of lake
  • #28 Terrene Intro on why are headwaters important, how do they fit in Discussing the illustration of finding headwaters on right Two things in this slide, one is headwaters, other is lotic river and lotic stream and not missing that classification by using the SSURGO soil data Tiner, important classification criteria for Landscape position lotic river and lotic stream: wetlands periodically flooded by rivers or streams that they are associated with To find this, used data from National Resources Conservation Services (NRCS) SSURGO Soil Survey Geographic database And in GIS used: Polygons with soil attribute “Flooding Frequency - Dominant Condition” (flodfreqdcd) Indicates expected frequency of flooding at each wetland Dominant Condition = “Frequent or Occasional” Differentiate between the terrene (TE) and the lotic river and lotic stream classes.
  • #29 Putting it all together Visual explanation Lotic river, within river buffer AND “flodfreq” soil Lotic stream, intersected by a stream OR within the “flodfreq” soil
  • #30 Waterbody type - applies only to permanent and deep, open water habitats; ponds, lakes, rivers; comes directly from NWI Cowardin codes as well as acreage of wetland (ponds and lakes, natural or constructed) Relatively straightforward Cowardin codes, descriptors inherent to NWI “Wetland code splitter” program short, simple Python language program that splits the merged codes into individual columns for easy sorting in GIS The “Wetland Verification Toolset,” an important pre-processing step for the NWI wetlands data prior to analysis, creates a GIS attribute class called “WETLAND_TY,” short for “wetland type,” and fills in a generalized classification name for each wetland. For the waterbody type classification step, the “Freshwater Pond” and “Lake” wetland types were selected and then further sorted for the 5 acres or greater division of lakes versus ponds. With respect to Cowardin codes, those selected wetlands translate to ones classed as PUBG, PUBF, or PUBK – Palustrine, Unconsolidated Bottom, Intermittently Exposed (G) or Semipermanently Flooded (F) or Artificially Flooded (K), with special modifiers “x” (Excavated), or “h” (Diked/Impounded), or “d” (Partially Drained/Ditched).   Note that the NWI Cowardin code special modifier “h – Diked/Impounded” appeared to have been assigned appropriately in most cases, but was absent from a small percentage of wetlands that could be seen in aerial imagery as the result of impoundment. Therefore it is possible that the dammed river valley (LK2) and diked and/or impounded pond (PD2) values are not always correctly assigned for a small percentage of wetlands.
  • #32 Waterflow path – type of water associated with a wetland AND the flow direction Looks like a lot of criteria, but… Help you to see, Only 4 main classes, each with some modifiers Outflow Bidirectional Throughflow Isolated Intermittent and Artificial modifiers Sometimes called “hydrodynamics”
  • #33 General approach to this method - - - - Find intersections between flowlines and wetlands
  • #34 Primary dataset for Water flow path Database has coding within it for types of waterways “Stream/River – Perennial, Intermittent” “Pipes/Canals/Ditches” Not as simple as just intersections, though Groundwater influence Throughflow water flow path wetlands defined by - - - - Receive surface or ground water from a stream, other waterbody, or another wetland at a higher elevation; - - And, that surface or ground water passes through that wetland an on to another stream or waterbody. To account for groundwater, used 200-foot buffer around perennial and intermittent NHD flowlines Simulates groundwater influence, draws in wetlands near waterway that are likely influenced No buffer selected for pipes, canals, ditches Dealing with linear features in the NHD: Straightened stream reaches Irrigation conveyances Coded in the NHD as “streams” and so would be just Throughflow rather than TH Artificial
  • #35 Now that we understand the process by which LLWW descriptors are added to the wetlands Discuss how to map wetland functions using those newly assigned descriptors as well as other GIS data We will talk about how the wetland functions are defined First, lets briefly review what a wetland function is As well, let’s take a look at the functions that were used in this analysis
  • #36 Here on the left are the specific wetland functions that were used for this analysis And, on the left is a simple, succinct definition of what we mean by a “function” Many of you are already familiar with this concept, but just to ensure we are all on the same page We are talking about processes - - natural, physical, or biological - - that a wetland provides Sometimes these are referred to as “ecosystems services” These functions can be a core feature of the wetland that sustain it, or might be incidental We talk and use the term function as, for instance, a wetland having a “high, medium, or low functional significance” Some examples of that in conversation would be : High functional significance for nutrient transformation High functional significance for floodwater storage Low functional significance for sediment retention Medium functional significance for fish habitat And just to wrap up our definition of the significance of wetland functions, let’s talk about that term “significance”
  • #37 The significance of a function refers to ability and level of that natural process to occur in comparison to other wetlands It’s that “in comparison” part that we need to emphasize Relative measure Terms “high,” “moderate,” and “low” are used to describe level of function that one group of wetlands has in comparison to another. Terms used without regard to the perceived human value of any wetland function or its benefit to a watershed. Wetlands with high functional significance for nutrient transformation do not meet any particular regulatory standard or limit - - - - Rather are performing that process at a better and higher rate than other wetlands within the area of analysis. The functional value of the ecological services provided by wetlands is a separate step that is determined by the needs and requirements of regulators and watershed planners. Functional significance is only meant as a method to classify and rank wetlands for their ability to perform natural processes. high functional significance for nutrient transformation high functional significance for floodwater storage
  • #38 With LANDSCAPE and WATER data added… …Combined with NWI’s original VEGETATION and WETLAND TYPE data… …Plus, adding in additional data layers in the GIS, such as Hydrology, specifically information on man-made versus natural Elevation data and drainages You, as the analyst, working from previous examples, decides what combinations of traits and features represent what functions We will discuss examples of functions used in this method and report
  • #43 After assigning levels of functional significance using the methodology presented here, each wetland received an overall composite score that ranged from 11 (“Low” functional significance in all categories) to 33 (“High” functional significance in all categories). The scoring was determined by simply assigning a value of 1 to a “Low” significance, 2 to a “Moderate,” and 3 to a “High.” Limitation of composite scores, opposing criteria
  • #44 Focusing on Muddy Creek and Sandusky River HUC 10 boundaries These darker wetlands compared to the lighter shaded ones - - - - are performing at a higher level of functional significance - - for a greater number of criteria Some criteria are mutually exclusive
  • #46 …this comparison of pre-European settlement wetlands to current-day wetlands shows that a greater percentage of the Sandusky River watershed’s acreage was wetland prior to European settlement. This is unsurprising and was expected due to increases in agriculture and development. The primary loss of acreage was observed in forested wetlands, followed by scrub-shrub wetlands. Those wetlands were replaced by emergent wetlands, consequently the percentage of emergent wetlands increased overall when comparing pre-European settlement to current wetlands. This change impacted the functional significance for all of the criteria used in this analysis. A much lower percentage of current wetlands rated high in functional significance as compared to the pre-European settlement wetlands.
  • #49 Now we have current functions, historic functions, verified Both had the same analysis performed on them First, I will give you the takeaway from comparison of their functions Then show you some results Analysis indicates… Ideal targets for management are: vegetated palustrine and lacustrine, non-open-water wetlands in the lowlands and ancient lake sediments flood occasionally or frequently Appear to be the wetlands with the highest functional significance As well as highest density Ideal candidates for preservation, restoration, and creation Water quality, quantity, and thus potential for reducing nutrients, as well Meets goals of the GLRI Action Plan
  • #50 …And then taking that comparative historic assessment …and bringing it back into the watershed plan Are there more questions to ask, and can you go around the circle again?
  • #53 Rapidly Screening for Wetland Functions Using a Geographic Information System (GIS) What is a wetland function and why do we screen for it? Difference between rapid assessment methods and hydrogeomorphic How can GIS assist? How can we use physical characteristics of wetlands to infer their functions? How can we understand functional loss over time in a watershed?
  • #54 What is a wetland function What is a watershed plan How do wetlands and wetland functions fit into watershed plans Nutrient reduction How have wetlands been accounted for previously in watershed plans, and how is this different
  • #55 GIS-based landscape model Starting data for analysis, FWS’ National Wetlands Inventory Great resource, contains in a GIS-compatible format wetland Location Size Shape Type (coarse vegetation classes, wetland type) Missing information that is easily added by - - Sorting the wetlands into groups based on the data they already have from the NWI And by OVERLAYING additional layers in GIS, such as hydrology, we can assign additional attributes This is spatial analysis - - what overlaps what, what is within or outside of what (Hydrogeomorphic) – geomorphology – hydrologic – LANDSCAPE and WATER
  • #56 With LANDSCAPE and WATER data added… …Combined with NWI’s original VEGETATION and WETLAND TYPE data… …Plus, adding in additional data layers in the GIS, such as Hydrology, specifically information on man-made versus natural Elevation data and drainages You, as the analyst, working from previous examples, decides what combinations of traits and features represent what functions We will discuss examples of functions used in this method and report
  • #57 Loss and gain, what changes has a watershed experienced Identifying the management opportunities Places where wetlands should be preserved… …and where they should be restored How to create a model of where historic wetlands were and what functions they might have possessed Comparing that historic model to the current functional assessment…
  • #58 …And then taking that comparative historic assessment …and bringing it back into the watershed plan Are there more questions to ask, and can you go around the circle again?
  • #59 Loss and gain, what changes has a watershed experienced Identifying the management opportunities Places where wetlands should be preserved… …and where they should be restored How to create a model of where historic wetlands were and what functions they might have possessed Comparing that historic model to the current functional assessment…
  • #60 GIS-based landscape model Starting data for analysis, FWS’ National Wetlands Inventory Great resource, contains in a GIS-compatible format wetland Location Size Shape Type (coarse vegetation classes, wetland type) Missing information that is easily added by - - Sorting the wetlands into groups based on the data they already have from the NWI And by OVERLAYING additional layers in GIS, such as hydrology, we can assign additional attributes This is spatial analysis - - what overlaps what, what is within or outside of what (Hydrogeomorphic) – geomorphology – hydrologic – LANDSCAPE and WATER