Spatial Distribution of Salt Marsh Vegetation Cover and Salinity Regimes in Response to Mosquito Ditching

Similar documents
Taunton River Salt Marsh Assessment Results from 2014 season

Research Background: Researcher Sam Bond taking Sediment Elevation Table (SET) measurements in the marsh. A view of salt marsh hay growing in a marsh

Home About Us Articles Press Releases Image Gallery Contact Us Media Kit Free Subscription 10/5/2006 5:56:35 PM

The Use of Geographic Information Systems to Assess Change in Salt Marsh Ecosystems Under Rising Sea Level Scenarios.

Types of Wetlands. Tidal Systems

Subtidal permanently flooded with tidal water. Irregularly exposed surface exposed by tides less often than daily

Factors Governing Successful Tidal Wetland Mitigation. Walter I. Priest, III Wetland Design and Restoration ASWM Webinar 16 July 2018

Landscapes & Hydric Soils Bruce Vasilas University of Delaware

3.3 CLIMATE, GEOLOGY, TOPOGRAPHY, AND SOILS CLIMATE GEOLOGY TOPOGRAPHY

Wetland Sediment Dynamics at Crissy Field Marsh Annual Report

exposed has to the this soil lowest water salinity. However in the fall, following a lot of Underground

How Do Human Impacts and Geomorphological Responses Vary with Spatial Scale in the Streams and Rivers of the Illinois Basin?

The Future of Soil Mapping using LiDAR Technology

Implementing the NERR Sentinel Sites Program at the Narragansett Bay Research Reserve to Track Salt Marsh Responses to Climate Change Stessors

Appendix E: Cowardin Classification Coding System

9 th INTECOL Orlando, Florida June 7, 2012

Ecosystems Chapter 4. What is an Ecosystem? Section 4-1

SIF_7.1_v2. Indicator. Measurement. What should the measurement tell us?

Sea Level Rise in Miami-Dade County Florida Implications for Management of Coastal Wetlands and the Everglades

Tidal Wetland Vegetation

NOTES: CH 4 Ecosystems & Communities

Directed Reading. Section: Types of Maps

SEAGRASS COVERAGE TRENDS IN THE INDIAN RIVER LAGOON SYSTEM

Waterborne Environmental, Inc., Leesburg, VA, USA 2. Syngenta Crop Protection, LLC, North America 3. Syngenta Crop Protection, Int.

Using Remote Sensing to Map the Evolution of Marsh Vegetation in the South Bay of San Francisco

A Comprehensive Inventory of the Number of Modified Stream Channels in the State of Minnesota. Data, Information and Knowledge Management.

Pee Dee Explorer. Science Standards

PLANT COMMUNITY COMPOSITION OF THE BUCKTOWN CREATED MARSH:

Baseline Estuarine-Upland Transition Zone

Mussel Powered Living Shorelines for Salt Marsh Erosion Control

Poole Harbour. Saltmarsh Monitoring 2006

SAN FRANCISCO DISTRICT INFORMATION REQUESTED FOR VERIFICATION OF CORPS JURISDICTION

CHAPTER 6 & 7 VOCABULARY

Distinct landscape features with important biologic, hydrologic, geomorphic, and biogeochemical functions.

UNIT 5: ECOLOGY Chapter 15: The Biosphere

Quantifying effects of oil on coastal dune vegetation. Thomas Miller and Elise Gornish Biological Science, Florida State University

Introduction to the Hydrogeomorphic (HGM) Classification System

Module 3. Basic Ecological Principles

Introduction. Ecology is the scientific study of the interactions between organisms and their environment.

Estuarine marshes along the Elbe: past, present and future

Statewide wetland geospatial inventory update

Use of Remote Sensing and GIS for Wetland, Riparian, and Watershed Assessment, Restoration, and Monitoring

Name: Which rock layers appear to be most resistant to weathering? A) A, C, and E B) B and D

Characterizing Tidal Inundation of Wetlands in the Murderkill Estuary (Kent County, DE)

Shoreline Mapping & Erosion Patterns. Julia Knisel Julia Knisel Coastal Shoreline & Floodplain Manager

Potential Restorable Wetlands (PRWs):

STUDY GUIDE FOR CONTENT MASTERY. Surface Water Movement

Statement of Impact and Objectives. Watershed Impacts. Watershed. Floodplain. Tumblin Creek Floodplain:

Current and Future Technology Applications for Coastal Zone Management. Bruce K. Carlisle, Acting Director Office of Coastal Zone Management

Changes in Texas Ecoregions

Physical Geography: Patterns, Processes, and Interactions, Grade 11, University/College Expectations

ADDRESSING GEOMORPHIC AND HYDRAULIC CONTROLS IN OFF-CHANNEL HABITAT DESIGN

Correlation: California State Curriculum Standards of Science for Grade 6 Focus on Earth Science

4.2 Tidal Wetlands. Phragmites Australis

Generalized Conceptual Models Wetlands Regional Monitoring Program Compiled for the PEEIR

Remote Sensing and Spatial Analysis (RSSA)

Chapter 52 An Introduction to Ecology and the Biosphere

Mapping Coastal Change Using LiDAR and Multispectral Imagery

Using Soils Data to Map

I. Tidal Salt Marshes (TSMs)

Science EOG Review: Landforms

RESEARCH METHODOLOGY

Technical Report: Rhode Island Salt Marsh Habitat Mapping Project

Environmental Science

of a landscape to support biodiversity and ecosystem processes and provide ecosystem services in face of various disturbances.

Hydrosphere The hydrosphere includes all water on Earth.

GIS and Coastal Nutrients Luke Cole

Elevation (ft) Slope ( ) County CONDITION CATEGORY. Parameter Natural Condition Slightly impacted Moderately Impacted Heavily Impacted

correlated to the California Science Content Standards Grade 6

CAUSES FOR CHANGE IN STREAM-CHANNEL MORPHOLOGY

3.7 VISUAL RESOURCES Environmental Setting

Modeling Coastal Change Using GIS Technology

Moreton Bay and Key Geographic Concepts Worksheet

The following statements will be changed into TRUE/FALSE Questions. STUDY! (Hi-light important info)

Name Hour. Section 4-1 The Role of Climate (pages 87-89) What Is Climate? (page 87) 1. How is weather different from climate?

Australian Coastal Councils Conference

Opportunities to Improve Ecological Functions of Floodplains and Reduce Flood Risk along Major Rivers in the Puget Sound Basin

Pablo Bay in Sonoma, Solano, and Napa Counties. It is owned and managed by the U.S. Fish and Wildlife

Abstract. Introduction

Hydric Rating by Map Unit Harrison County, Mississippi. Web Soil Survey National Cooperative Soil Survey

Biosphere Biome Ecosystem Community Population Organism

Smooth Cordgrass Varieties. Description and Performance

Soil Map Boulder County Area, Colorado (Planet Blue Grass) Web Soil Survey National Cooperative Soil Survey

Appendix J Vegetation Change Analysis Methodology

THIN-LAYER PLACEMENT OF DREDGE MATERIAL FOR MARSH NOURISHMENT, RESOTRATION, AND RESPONSE TO SEA LEVEL RISE

Overview of Chapter 6

Upper Truckee River Restoration Lake Tahoe, California Presented by Brendan Belby Sacramento, California

Steve Pye LA /22/16 Final Report: Determining regional locations of reference sites based on slope and soil type. Client: Sonoma Land Trust

Ecological Patterns and Processes in Ghost Tree Islands of the Everglades

Setting Priorities for Eelgrass Conservation and Restoration. Robert Buchsbaum Massachusetts Audubon Society

Pierce Cedar Creek Institute GIS Development Final Report. Grand Valley State University

Carbon Sequestration Potential from Coastal Wetlands Restoration Sites

Ground Water Control of Tree Island Origin, Genesis and Destruction. By John F. Meeder and Peter W. Harlem SERC,FIU

Technical Memorandum No Sediment Model

Defining the Limit of Regulated Areas. C.1 Defining the River or Stream Flood Hazard 138. C.2 Defining the River or Stream Erosion Hazard 139

Relatively little hard substrate occurs naturally in the

Wetland Definition Diagram

Gulf Research Reports

RANCHO de DOS PALMAS DAVIS, California, AC +/-

OBSERVATIONS OF PERMAFROST-LANDSCAPE DYNAMICS RELATED TO ANTHROPOGENIC DISTURBANCES, YUKECHI STUDY SITE, CENTRAL YAKUTIA

Transcription:

Spatial Distribution of Salt Marsh Vegetation Cover and Salinity Regimes in Response to Mosquito Ditching Andrew J. Paolucci University of Rhode Island Department of Natural Resources Science NRS 533 Final Project 12/5/2012

Introduction Salt marshes are biologically productive ecosystems that provide nursery habitat for wildlife, and play an important role in pollution control and nutrient cycling. Predicting and understanding the consequences of anthropogenic disturbances on salt marsh patterns and processes has become a popular topic in salt marsh ecology because these systems are rapidly degrading (Bertness et al., 2002). There is no single answer to the cause of landscape patterns in today s world. The patterns we view are a result of multiple abiotic and biotic factors, processes, interactions, and disturbances (Turner et al., 2001). In New England salt marshes, competition and plant physiological tolerances create distinct zones of plant cover (Bertness and Ellison, 1987). The low marsh is inundated by daily high tides and is dominated by a salt tolerant species known as Spartina alterniflora. The portion of the marsh that is only flooded during extreme high tides, the high marsh, is composed of less salt tolerant species such as Spartina patens. (Bertness, 1992). Although species competition and plant tolerances explain salt marsh vegetation patterns in an undisturbed system, most of the patterns we see today are directly influenced by anthropogenic alterations to the habitat. New England salt marsh vegetation patterns have been influenced by disturbances such as tidal restrictions, ditching, filling and dredging, sea level rise, and nutrient loading (Donnelly and Bertness, 2001; Lesser, 1976; Wigand et al. 2009). This paper focuses on the effects of mosquito ditching and sea level rise on salt marsh vegetation cover patterns. Objective Our first hypothesis was that mosquito ditches effect vegetation composition by altering the substrate salinity regime. In ditches subject to tidal fluctuations, levees may develop from the ditching spoil piles or accretion from receding tides. The levees prevent the lateral movement of water through the marsh, and in extreme cases convert adjacent areas of vegetation to a panne or a permanent pool (Miller and Egler, 1950). Salt marsh pannes are bare patches of hypersaline soil where most plant growth is inhibited. Within these pannes are patches of Salicornia europaea, a species which can withstand hypersaline environments (Bertness, 1992). Pools are similar to pannes except they are deeper and contain standing water throughout the dry months (NHDFL Staff, 2012). The second hypothesis of this study was that the percent cover of pools and pannes within a salt marsh is correlated to the density of ditches. Previous studies indicate that remote sensing has been a useful strategy for monitoring and mapping salt marsh habitat (Belluco et al., 2006, Zhange et al., 1997). Our goal was to map the extent of ditches, pools, and pannes along the fringe marshes of the Narrow River using a Geographic Information System (ArcGIS Version 10.0) and high resolution aerial photography to determine if a relationship between pool/panne area and ditching exists.

Since pools and pannes often form in very poorly drained depressions in the marsh, we predicted that sea level rise has increased the extent of pools and pannes within the Narrow River fridge salt marshes (NHDFL Staff, 2012). In order to test this hypothesis, the extent of pools/pannes were compared between the RIGIS digital aerial photography from 1951-1952 and the RIGIS RIDEM 2011 multispectral digital orthophotography. Methods Study Site The Narrow River, also known as the Pettaquamscutt River is an estuary located in southern Rhode Island (Appendix figure 1). The estuary stretches about 9.5 kilometers parallel to Narragansett Bay and discharges at Narragansett State Beach (RIRC Staff, 2012). Along the fridge of The Narrow River are patches of salt marsh located on Pawcatuck and Matunuck soils. Matunuck soils consist of an organic layer, 0 to 30 centimeters thick, overlying sandy marine or glaciofluvial deposits (Soil Survey Staff, 2012). Pawcatuck soils consist of 40 to 130 centimeters of organic deposits overlying sandy marine or glaciofluvial deposits (2012). In order to determine the effects of ditching on vegetation composition, three ditches were chosen for analysis. Each ditch was chosen based on visual interpretation of vegetation cover, and morphological characteristics such as ditch width, length, and depth. Vegetation and Soil Sampling At each study site, vegetation and soil samples were gathered along two transects. Samples were taken at the ditch bank and at 1, 5, 15, and 30 meters from the ditch edge (Appendix figure 2). Percent cover of each plant species and bare soil was determined using a 0.25 meter 2 quadrat. Surface soil samples (0 to 5 cm) were taken using a McCaulay peat sampler and transported inside an iced cooler from the field to the laboratory. Soil salinity was determined using a saturated paste method (NRCS Staff, 2004). A 1:5 ratio was made with 5 grams of fresh soil and distilled water. After allowing the mixture to settle, electrical conductivity (EC) at 25.0 o C was determined using an Oakton Con 10 handheld electrical conductivity meter (Model: 35607-00, Oakton Instuments, IL, USA). EC (25)1:5 was reported to the nearest 0.1 ds m -1. Pool and Panne Mapping Marsh units were delineated in ArcGIS using the RIGIS 2012 USDA/NRCS SSURGO soil polygon dataset. Ditches, pannes, and pools were delineated at 1:2000 scale using the RIGIS 2011 RIDEM multispectral digital orthophotography and the RIGIS 1951-1952 digital photography (Appendix figures 2 and 3). The extent of the morphological features mapped in this study were ground truthed on November 15 th to ensure accuracy of the delineations.

Statistical Analysis The soil salinity and percent cover of Spartina patens, Spartina alterniflora, and bare soil at each transect location was analyzed using SigmaPlot statistical software (version 11.2.05; Systat Software, San Jose, CA). Significant differences (P<.0.05) in vegetation composition was determined using a one-way analysis of variance (ANOVA). A 2 nd order polynomial regression was used to determine if a relationship exists between mean soil salinity and distance from ditch for each transect. The total area of marsh units, total length of ditches, total area of pools and pannes were determined using the Calculate Geometry function in ArCGIS. Using a random subsample (n=10) of the marsh units, a linear regression was used to determine if a relationship between meters of ditch per march unit area (ditch density) and total area of pools and pannes per marsh unit area (percent pool/panne area). Discussion Impact of mosquito ditches on vegetation patterns Distinct vegetation patterns were seen surrounding ditched areas of the Narrow River salt marshes in both aerial photographs and during field sampling. There was a significant difference between the percent cover of bare soil and Spartina patens between sampling locations (DF=4/25 F=9.223 P<0.001). The amount of bare soil was greater in areas further away from the ditch. Patens dominated the areas 1 to 5 meters from the ditch, but along the edge of the ditch, and greater than 5 meters away, contained mostly Spartina alterniflora (Appendix graph 1). We predict that these vegetation patterns could exist because of the natural levees formed on the banks of the ditch by receding tiding and human transported material the ditch construction. Topographic surveying is required in order to confirm this hypothesis. Impact of mosquito ditching on soil salinity Soil salinity increased from the edge of the ditch to 15 meters at five out of the six transects (Appendix graph 2). The 30 meter samples exhibited lower or similar salinities than the corresponding sample locations. It may be that these areas have lower salinities due to micro relief within the salt marsh. Therefore we recommend surveying these sites to determine any correlations between elevation and salinity. Relationship between ditch density and percent pool area Along the Narrow River there is a total of 5830 meters of ditches and 120,543 square meters of pools and pannes (Appendix table 1). No relationship existed between ditch density and percent pool area with the marsh unit subsamples. It is clear in areas where grid ditching has occurred such as Winnapaug Pond in Charlestown, Rhode Island that ditching spoil piles and levees formed by sediment accretion form shallow pools on the marsh surface. Along the Narrow River the soils have thicker organic horizons and were not subject to intense grid ditching (Soil Survey

Staff, 2012). The difference in soil properties such as thickness of peat or the land use history could be the explanation for the negative relationship between ditch density and pool/panne area. Change in total pool and panne area since 1952 Based on the data collected using remote sensing imagery the extent of pools and pannes has increased by 973 square meters since 1952 (Appendix table 2). Over the last 60 years the number of pools and pannes has increased by 470%. Mean pool/panne area decreased from 1952 to 2011. This decrease could be the due to errors during the delineation of the pool units. Since multispectral orthophotography was used for the 2011 analysis the delineation of the polygons was more precise. The pools and pannes were harder to distinguish using black and white photography and ground truthing the data was not possible. Conclusion This study proved that remote sensing can be a valuable resource for determining vegetation patterns and anthropogenic footprints on the landscape. Although the results of this study were mostly unsuccessful, this research supports the notion that resolution effects accuracy in landscape pattern analysis. We are determined to conduct more field sampling and remote sensing in order to fully evaluate the impacts of mosquito ditching on soil and vegetation characteristics.

References Belluco E., M. Camuffo, S. Ferrari, L. Modenese, S. Silvestri, A. Marani, & M. Marani. 2006. Mapping salt-marsh vegetation by multispectral and hyperspectral remote sensing. Remote Sensing of Environment, Volume 105, No. 1 pp. 54 67. Bertness, M.D., 1992. The Ecology of a New England Salt Marsh. American Scientist, Vol. 80, NO. 3, pp. 260-268. Bertness, M.D. and A.M. Ellison. 1987. Determinants of Pattern in a New England Salt Marsh Plant Community. Ecological Monographs, Vol. 57, No. 2, pp. 129-147 Bertness, M.D., P. Ewanchuk, and B.R. Silliman. 2002 Anthropogenic modification of New England salt marsh landscapes. Proceedings of the National Academy of Sciences of the United States of America. Vol. 99, pp. 1395-98. Donnelly, J.P. & M.D. Bertness. 2001. Rapid shoreward encroachment of salt marsh cordgrass in response to accelerated sea-level rise. Proceedings of the National Academy of Sciences of the United States of America. Vol. 98 No. 25 pp. 14218-14223. Lesser, C.R., F. J. Murphey, and R. W. Lake. 1976. Some effects of grid system mosquito control ditching on salt marsh biota in Delaware. Mosquito News Vol. 36, No. 1, pp. 69-77. New Hampshire Division of Forests and Lands (NHDFL). 2012. Natural Communities of NH Photo Guide: Salt panes and pools. Concord, NH. Web. 4 December 2012. URL: http://www.nhdfl.org/about-forests-and-lands/bureaus/natural-heritage-bureau/photoindex/salt-pannes-and-pools.aspx RIGIS. 2002. 1951-1952 Digital Aerial Photographs. Rhode Island Geographic Information System (RIGIS) Data Distribution System, URL: http://www.edc.uri.edu/rigis RIGIS, 2011. 2011 RIDEM Multispectral Orthophotography of Rhode Island. Rhode Island Geographic Information System (RIGIS) Data Distribution System, URI: http://www.edc.uri.edu/rigis Rhode Island Rivers Council (RIRC). 2012 Narrow River Watershed. Providence, RI. Web. 4 December 2012. URI: http://www.ririvers.org/wsp/watersheds/narrowriverwatershed.htm# Soil Survey Staff, Natural Resources Conservation Service (NRCS), United States Department of Agriculture. Web Soil Survey. Web. 4 December 2012. URL: http://websoilsurvey.nrcs.usda.gov/.

Turner M. G., Gardner R. H., and R. V. O Neill. 2001. Landscape Ecology in Theory and Practice: Pattern and Process. Springer-Verland, New York, New York, USA. pp. 71-92 Zhang, M., S. L. Ustin, E. Rejmankova, and E. W. Sanderson. 1997. Monitoring Pacific coast salt marshes using remote sensing. Ecological Applications. Vol. 7 pp. 1039-1053

Appendix Figure 1: Study Location. Narrow River, RI. Figure 2: Transect sampling scheme.

Figure 3: Extent of pools and pannes (red polygons) delineated using RIGIS 2011 RIDEM multispectral orthophotography.

Figure 4: Extent of pools and pannes (red polygons) delineated using RIGIS 1951-1952 digital photography.

Percent Cover (%) Vegetation Cover 100 Spartina alterniflora Spartina patens Bare soil 90 80 70 60 50 40 30 20 10 0 0 1 5 15 30 0 1 5 15 30 0 1 5 15 30 Distance from ditch (meters) Graph 1: Vegetation composition and bare soil were determined as percent cover using a 0.25 square meter quadrat. Other species were identified during sampling. Spartina sp. and bare soil percent cover were analyzed because they were the most common. 6 Horizon #1 EC 25(1:5) Soil Salinity EC 25(1:5) 5 4 3 2 1 0 Mean Poly. (Mean) 0 1 5 15 30 Distance From Ditch (m) y = -0.22x 2 + 1.555x + 1.5708 R² = 0.8372 Graph 2: Soil salinity was represented as electric conductivity(ec1:5) at 25 degrees Celsius.

2011 Narrow River Marsh Statistics Total area of marsh units(km 2 ) 98.3 Mean marsh unit area (m 2 ) 32765.0 Number of marsh units 30 Total length of ditches(m 2 ) 5830.2 Mean ditch length (m 2 ) 46.6 Number of ditches 125 Total density of ditches (m/km 2 ) 0.005931 Total cover of 2011 pannes and pools (%) 12.27356 Table 1: Landscape level metrics for the study location. All metrics were determined using the Calculate Statistics function in ArcGIS. Total pool/panne area (m 2 ) Mean pool/panne area (m 2 ) Number of pool/panne areas 1951-1952 119670.1783 383.5582638 309 2011 120643.0109 82.68883544 1459 Change 972.8326-300.8694283 1150 Table 2: Change in landscape level metrics between 1951 and 2011. Data was obtained using 1951 and 2011 RIGIS aerial photography..