Louisiana’s Coastwide Reference Monitoring System (CRMS) - Wetlands - UF/IFAS OCI | Homeconference.ifas.ufl.edu/ncer2009/PPTPDF_pres/2-Tuesday/5... · 2009. 8. 17. · 1 km 2 aerial

Using Web Services to Integrate and Visualize Data for Assessing Restoration Effectiveness

Louisiana’s Coastwide Reference Monitoring System (CRMS) - Wetlands

Gregory D. Steyer and Craig ConzelmannUSGS National Wetlands Research Center

NCER July 21, 2009

Coastwide Reference Monitoring System - Wetlands

Restoration Projects

Inconsistent variables measured, short data records

Limited by our ability to:

• Monitor responses of ecosystems at sufficient spatial and temporal scales to validate responses

• Modify operations of rehabilitation projects according to the response of the ecosystem to attain specific goals

• Anticipate ecological responses of ecosystems to manipulations


Diagnostics and Tool Development

• More rigorous data collection • More rigorous data collection over time and space

• Improve integration of coastwide, basin andproject-level data layers

• Optimize monitoring networks to support modeldevelopment and validation


Purpose

• To improve our ability to determine the effectiveness of individual

coastal restoration projects.

• Provide information to evaluate coastal wetlands at the ecosystem,

basin, and restoration project scale.

• To determine the ecological condition of coastal wetlands to ensure

that the strategic coastal plan for Louisiana (Coast 2050, LCA,

Louisiana Master Plan) is effective in recreating a sustainable coastal

ecosystem

CRMS-Wetlands Sampling Area: 1 km2 aerial photography area

CRMS-Wetlands Sampling Area:

200m X 200m area for non-spatial data collection

1 km (3280 ft)

200 m (656 ft)

20

0 m

(65

6 ft)

MARSH


CRMS Site Configuration

200 m

X 200 m

1 k

m (

32

80

ft)

2m X 2m vegetation stationSurface Elevation Table (SET)

Datasonde collecting water level and salinity

Boardwalk

Accretion plot

20

0 m

(65

6 ft)

WATER

Parameter Method Scale Frequency

Land to Water Ratio Satellite Imagery Hydrologic Basin 3 years

Land to Water Ratio Digital Aerial Photography CRMS Site (1 Km2) 3 years

Emergent Vegetation

Braun Blanquet: % Cover, Species Richness, Height of Dominant Species

(10) 2m x 2m plots/CRMS Site

Annually during peak biomass

Forested Vegetation DBH and Canopy Cover(3) 20m x 20m plots/CRMS Site

Annually during peak biomass


Data Collection at each Site

Forested Vegetation DBH and Canopy Cover Site biomass

Vertical Accretion Feldspar Plots/Cryogenic Cores 3 plots/CRMS Site Bi-annually

Marsh Elevation Change Rod Surface Elevation Table (RSET) 4 directions/CRMS Site Bi-annually

Porewater Salinity10 and 30 cm deep wellsSyringe/Sipper

3 wells per depth/CRMS Site and at Vegetation Plots

MonthlyAnnually

Surface Water Salinity, Temp and Water Level Submersible Data Logger

in available water within 200 m of CRMS Site or in a well Hourly

Soil Characteristics

Core samples profiled into 4 cm increments to 24 cm. Bulk Density,

OM%, Soil Salinity, pH, and

Moisture.

3 cores, 18 archived

samples/CRMS Site 5 years

• Summarize and visualize data at multiple scales (site, project, basin, coastwide)

• Develop multi-metric ecological indices of stress and response


Data and Information Delivery System

and response• Provide on-the-fly graphics• Simplify querying and

downloading of spatial and temporal data

• Provide web mapping viewer

• Develop report card

Pairing Coastal Scientists with Technology Specialists was Key to Success

Coastwide Reference Monitoring System (CRMS - Wetlands)

http://www.lacoast.gov/crms

Highlight:

Online Mapping

All Data Service Enabled

Spatial Data: WMS/WFS

Tabular Data: .NET Web Services

Visualizations: .NET Web Services


CRMS Website


CRMS Website


CRMS Website


CRMS Website

INDEX DEVELOPMENT

• Hydrologic Index

• Floristic Quality Index

METRICS• Vegetation

1. Cover2. Species composition3. Relative abundance4. Dominance/calculated5. Richness/calculated6. Height

• Soils13. Bulk density14. % organic matter15. Water content16. Sediment elevation17. Sediment accretion18. Shallow subsidence


Ecological Indice Development

• Sediment Elevation Compensation Index

• Spatial Integrity Index

6. Height7. NDVI

• Hydrology8. Water depth9. Water

duration/calculated10. Flooding

frequency/calculated11. Salinity 12. Temperature

19. Salinity20. Temperature21. pH22. Soil type23. Relative sea level rise24. Deep subsidence

• Landscape25. Land:water ratio26. NDVI27. Fragmentation

3

1

12

prodsalinity

=

+

3

1

14

prodsalinity

=

+


Hydrologic Index – Salinity Productivity Component

5

1

110

prodsalinity

=

+

3

1

14

prodsalinity

=

+

5

1

135

prodsalinity

=

+

20.000082 0.0029 0.974271y x x= − + +

20.000124 0.012354 0.692296y x x= − + +

0 20 40 60 80 1000

0.25

0.5

0.75

1

Percent Time Inundated

Pe

rce

nt M

ax P

rod

uctivity

Swamp

0 20 40 60 80 1000

0.25

0.5

0.75

1


Pe

rce

nt M

ax P

rod

uctivity

Fresh


Hydrologic Index – Flooding Productivity Component

0.75

1P

erc

en

t M

ax P

rod

uctivity

Saline

20.000344 0.026213 0.500639y x x= − + +

0 20 40 60 80 1000

0.25

0.5

0.75

1


Pe

rce

nt M

ax P

rod

uctivity

Intermediate

0 20 40 60 80 1000

0.25

0.5

0.75

1


Pe

rce

nt M

ax P

rod

uctivity

Brackish

20.000124 0.012354 0.692296y x x= − + +

20.000273 0.026532 0.35536y x x= − + +

0 20 40 60 80 1000

0.25

0.5


Pe

rce

nt M

ax P

rod

uctivity

0 20 40 60 80 1000

0.25

0.5

0.75

1


Pe

rce

nt M

ax P

rod

uctivity

Saline

Jan Apr Jul Oct0

10

20

30

Sa

lin

ity (

pp

t)

Jan Apr Jul Oct-2

0

2

4

Wa

ter

Le

ve

l (f

t) Hydrologic IndexScore = 0.35


Hydrologic Index

Jan Apr Jul Oct

MatLab ProgramYear: 2007 Marsh Type: Saline


Manual Data Filtering, Processing, and Visualization

Level of Effort:

1 Year of Hydro Data, 1 Marsh Type

Processing Time: ~2 Weeks

MatLab ChartYear: 2007 Marsh Type: Saline

Web Service Delivered ChartYear: 2007 Marsh Type: Saline

SQL Server DatabaseYear: ALL Marsh Type: ALL


Automatic Data Filtering, Processing, and Visualization

Level of Effort:

End user clicks stations from web map…

Processing Time: ~2 Seconds

Web Server: Content Delivered as Service

•Charts•Spatial Data

Server Based Data Filtering and Processing

Floristic Quality Index for PO17 Project Area

Co

ver

(%)

100

150

200

250

300

Flo

ristic Q

ualit

y

0.4

0.6

0.8

1.0

Floristic Quality Index for PO17 Reference Area

Co

ve

r (%

)

100

150

200

250

300

Flo

ristic Q

ua

lity

0.4

0.6

0.8

1.0


Floristic Quality Index – Bayou LaBranche Project

Year

1996 1998 2000 2002 2004 2006

0

50

0.0

0.2

Spartina patens (Ait.) Muhl.

Schoenoplectus californicus (C.A. Mey.) Palla

Panicum capillare L.

Spartina alterniflora Loisel.

Baccharis halimifolia L.

Sesbania drummondii (Rydb.) Cory

Panicum repens L.

Schoenoplectus robustus (Pursh) M.T. Strong

Polypogon interruptus Kunth

Schoenoplectus americanus (Pers.) Volk. ex Schi

Bacopa monnieri (L.) Pennell

Symphyotrichum tenuifolium (L.) Nesom

Spartina cynosuroides (L.) Roth

Other

FQI

Year

2004 2005 2006 2007

0

50

0.0

0.2

Spartina patens (Ait.) Muhl.

Schoenoplectus americanus (Pers.) Volk. ex Schi

Polygonum punctatum Ell.

Vigna luteola (Jacq.) Benth.

Ipomoea sagittata Poir.

Iva frutescens L.

Polygonum punctatum Ell. var. confertiflorum (M

Baccharis halimifolia L.

Schoenoplectus robustus (Pursh) M.T. Strong

Symphyotrichum tenuifolium (L.) Nesom

Panicum hemitomon J.A. Schultes

Cyperus odoratus L.

Solidago sempervirens L.

FQI

-20

0

20

on C

hange a

nd A

ccre

tion (

cm

)

0.6

0.7

0.8

0.9

1

1.1

1.2

1.3

1.4

1.5

1.6

1.7

1.8

1.9

Site E

levatio

n (ft N

AV

D 8

Elevation Change (cm) trend with 95% CI

Vertical Accretion (cm) trend with 95% CI

Cumulative Elevation Change and Vertical Accretion (cm)CS20-52R

0

10

20

on C

hange a

nd A

ccre

tion (

cm

)

1.1

1.2

1.3

1.4

1.5

1.6

1.7

Site

Ele

vatio

n (ft N

AVD

8

Elevation Change (cm) trend with 95% CI

Vertical Accretion (cm) trend with 95% CI

Cumulative Elevation Change and Vertical Accretion (cm)CS20-23


Sediment Elevation Compensation Index – East Mud Lake Project

10/28/95 7/24/98 4/19/01 1/14/04 10/10/06Date

-40

Ele

vati

o

0

0.1

0.2

0.3

0.4

0.5

0.6 88)

Rates:Elevation Change = -2.54 cm yr-1

Vertical Accretion = 0.44 cm yr-1

Shallow Subsidence = 2.98 cm yr-1

Projected RSLR = 0.57 cm yr-1

Site Elevation Change 3.11 cm yr-1 < Projected RSLR

10/28/95 7/24/98 4/19/01 1/14/04 10/10/06Date

-10

Ele

vati

o

0.9

1

1.1

88)

Rates:Elevation Change = 0.50 cm yr-1

Vertical Accretion = 1.27 cm yr-1

Shallow Subsidence = 0.77 cm yr-1

Projected RSLR = 0.57 cm yr-1

Site Elevation Change 0.07 cm yr-1 < Projected RSLR

• Characterize, compare, and visualize ecological changes at an array of spatial scales from project-level to coastwide.

• Pairing Coastal Scientists with Technology Specialists

– Reduced data processing / product delivery times

– Eliminated human introduced errors


Integration Benefits

– Eliminated human introduced errors

– Insured consistent processing techniques across large datasets

• Service enabling spatial data and analytical products helps eliminate traditional data sharing hurdles

• Managers no longer have to wait for end-of-the year reports for analytical products which assist in answering natural resource related questions.

For more information

http://www.lacoast.gov/crms2/Home.aspx

http://www.nwrc.usgs.gov/

http://dnr.louisiana.gov/crm

Steyer, G. D. and others 2003. A Proposed Coast-wide Reference MonitoringSystem for Evaluating Wetland Restoration Trajectories in Louisiana.

Environmental Monitoring and Assessment. 81:107-117.

http://dnr.louisiana.gov/crm

Louisiana’s Coastwide Reference Monitoring System (CRMS) - Wetlands - UF/IFAS OCI | Homeconference.ifas.ufl.edu/ncer2009/PPTPDF_pres/2-Tuesday/5... · 2009. 8. 17. · 1 km 2 aerial

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