Study site
The study was conducted at Bolsa Chica Ecological Reserve in Huntington Beach, California (33.41.59 N, 118.02.20 W; Fig. 1). Bolsa Chica Ecological Reserve is a coastal estuary of approximately 1,300 acres including salt marsh, mudflat, open water, coastal dune, riparian, and brackish marsh habitats. Prior to its establishment as an ecological reserve in 1979, the natural ocean entrance was dammed by the Bolsa Chica Gun Club in 1899. The Bolsa Chica Lowlands Restoration Project reopened the inlet in 2006, restoring tidal flow to the estuary and its function to the ecosystem. The reserve includes the full tidal basin (which was not surveyed as part of this project) as well as Inner and Outer Bolsa Bays, which connect to the Pacific Ocean via Huntington Harbour.
Surveys were conducted in fall 2014 in Inner and Outer Bolsa Bays (Fig. 1B) to determine locations of S. quoianum colonization. Since S. quoianum lives within the intertidal zone in order to filter feed on suspended particles and diatoms in the water column (Rotramel 1972; Davidson 2006), each bay was surveyed at low tide along the waterline, with careful attention to areas where vertical portions of mudflat or sediment occurred. When burrows were found, a hand spade was used to excavate a small amount of sediment around the burrow and S. quoianum presence was confirmed by visual inspection of the sediment. Evidence of invasion by S. quoianum was limited to the Outer Bolsa Bay (Fig. 1C).
Within this invaded area, three transects were established (Fig. 1D) for subsequent sampling. The “West transect” was located on the west side of the channel with most of its banks facing southeast, and the “East transect” was across the channel from the West transect, with its banks facing west. Both West and East transects contained hard, friable sediment on tall, steep bluffs with no plant cover. The “South transect” was situated south of the East transect, with west facing banks, and more gently sloping banks of softer marsh sediment and vegetation including marsh Jaumea (Jaumea carnosa), alkali heath (Frankenia salina), sea lavender (Limonium californicum), Pacific pickleweed (Salicornia pacifica), and Ulva spp. (green algae). The “Natural transect”, where no S. quoianum were found, was chosen haphazardly at approximately the same tidal elevation to sample uninvaded “natural” marsh invertebrate community as a control for later comparisons with invaded areas. The Natural transect was situated south of the South transect, with southwest facing banks and gently sloping banks of softer marsh sediment and vegetation that was similar to the South transect.
Sediment Sampling
Along each burrowed transect (West, East, and South), locations were identified and sampled 5 m apart at low tide in September 2014 along horizontal transects set at a consistent tidal elevation. Along the West transect, 9 burrowed (B) and 6 unburrowed (U) 0.125 m2 quadrats were sampled; along the East transect, 3 B and 2 U quadrats were sampled; and along the South transect, 6 B and 4 U quadrats were sampled. In July 2015, 6 additional U invertebrate community cores were taken from the Natural transect. Burrow cover within each quadrat was assigned a numerical estimate (%) as well as a burrow category (low: 0-33%, moderate: 34-66%, or high: 67-100%; as in Talley et al. 2001) by visual assessment. An unburrowed location was identified as close as possible (average distance of approximately 0.25 m) to each burrowed site. Due to high densities of burrows, it was not possible to find an unburrowed site to pair with each burrowed site. At each sampling location from each burrowed transect, bluff angle and shear strength were measured and sediment cores (for grain size distribution, carbon content analysis, and respiration rates) and sediment cores for invertebrate community analysis were collected as described below.
Sediment Characteristics
Bluff Angle and Shear Strength
Bluff angle was determined in the field using Angle Meter PRO for iPhone, and shear strength of the sediment was measured using a Torvane shear device (Humboldt Manufacturing, Elgin, IL). Shear strength of sediments relates directly to how susceptible the sediment is to erosion by tide and wave induced currents (Tolhurst et al. 1999). The mean of three measurements was used to determine one data point for each quadrat.
Grain Size Distribution
Samples for sediment grain size analysis were taken from sediment respiration cores (described below). Samples were dried for at least 48 hours at 50 ℃, treated with hydrogen peroxide to remove organics, with hydrochloric acid to remove carbonates, and with sodium hydroxide to remove biogenic silica (Leeper et al. 2017). Grain size analysis was performed using a Malvern Mastersizer 2000 laser diffraction grain size analyzer at California State University, Fullerton.
Carbon Content
Small subsamples were taken from sediment respiration cores after respiration rates were measured. To remove inorganic carbon, soil samples were acidified with 50 μL of 1M HCl and dried overnight at 50 ℃ twice (Craft et al. 1991). To determine organic carbon content, acidified and dried samples were weighed and analyzed with an elemental analyzer (Costech Analystical Technologies Inc., Valencia, CA) at Chapman University (Keller et al. 2015). Carbon content was calculated as percent carbon per mass.
Sediment Respiration Rate
Small sediment cores (2 cm diameter by 2 cm deep) were taken from each quadrat along each transect, sealed into pre-weighed jars on site, transported back to the laboratory, and re-weighed. Carbon dioxide (CO2) concentrations were measured from the sediment samples using an SRI Instruments gas chromatograph, equipped with a flame ionization detector and methanizer, at Chapman University in Orange, California immediately upon return to the laboratory. Samples were kept in the dark, and CO2 concentrations were taken from each jar at three time points approximately 48 hours apart to calculate rates of carbon mineralization (Keller and Takagi 2013). Six of 48 samples exhibited a non-linear (R2 <0.90) increase in CO2 concentrations over time and were excluded from subsequent analyses. Sediment samples were dried at 50 ℃ in order to determine moisture content, and carbon respiration rates were calculated per gram dry weight of sediment.
Macrofaunal Invertebrate Community
To compare invertebrate abundance and biodiversity among sites with different densities of S. quoianum burrows, small sediment cores (7.62 cm diameter by 6 cm deep) were taken in September 2014 at each invasion intensity along each transect. Once back in the laboratory each sediment core was preserved in 8% formalin with Rose Bengal stain. Preserved samples were sieved through a 300 µm sieve, and all organisms present were identified to the lowest taxonomic level possible and then counted. Sphaeroma quoianum individuals from these invertebrate community cores were separated into small (< 4 mm) and large (> 4 mm) individuals, and counts were compared with visual assessment of burrow densities (%) from areas in which they were taken.
Statistical Analyses
All data were checked for normality and equal variances and transformed when appropriate. If no transformations were found to meet these assumptions, then nonparametric tests were used. Univariate statistical analyses were performed in Minitab®17, and multivariate analyses were performed using PRIMER 7 (Quest Research Limited, New Zealand).
Pearson’s correlations were used to analyze the relationship between burrow cover and number of S. quoianum. Since no transformations were found to meet the assumption of normality for sediment respiration rate, a nonparametric Spearman Rho test was used to analyze the relationship between sediment carbon and respiration rate.
Two-way ANOVAs, with burrow status and transect as factors, were used to analyze sediment shear strength, grain size distributions, and carbon content. Since bluff angle and respiration rate did not meet ANOVA assumptions, they were analyzed using PERMANOVA, which does not rely on the assumptions of normality and equal variances (Anderson 2001). A one-way ANOVA was used to analyze univariate invertebrate abundance and species richness in only unburrowed samples among West, East, South, and Natural marsh samples, since there were no burrowed samples in the Natural transect. A two-way ANOVA, with burrow status and transect as factors, was used to analyze univariate invertebrate abundance and species richness, excluding the Natural transect since there were no burrowed samples there.
For multivariate environmental analyses, draftsman plots were used to determine which parameters were necessary to transform. Bluff angle, shear strength, carbon content, and respiration rate were found to be right skewed and thus were log transformed. Percent silt was removed from analysis since it correlated negatively with percent sand, remaining environmental parameters (shear strength, percent clay, percent sand, carbon content, respiration rate, and bluff angle) were normalized, and multivariate two-way PERMANOVAs with transect and burrow as factors were run.
All multivariate infaunal invertebrate community data were fourth root-transformed to upweight the contribution of less abundant species. Because there were no burrowed samples in the Natural transect, only unburrowed West, East, South, and Natural marsh invertebrate community samples were compared using a 1-way ANOSIM, and SIMPER analyses were used to determine which species contributed to differences among transects. Since S. quoianum and I. californica dominate community composition in burrowed samples, they were removed from analyses of burrowed transects (West, East, and South) to reveal changes in the remaining invertebrate community. To compare community composition among invaded transects, 2-way PERMANOVA main test and pairwise tests were run on West, East, and South transects only, with transect and burrow status as factors, using a Bray-Curtis dissimilarity matrix with a dummy variable. These same 2-way PERMANOVA analyses were also run using summary taxonomic levels: Crustacea, Insecta, Mollusca, Oligochaeta, Polychaeta, and Other (Arachnida, Nemertea, Platyhelminthes).
Multivariate Canonical Analysis of Principal Coordinates (CAP) visualizations and PERMANOVAs were run to compare environmental parameters and invertebrate community composition to visualize differences between samples and determine the strength of the association (canonical correlations, δ) between the multivariate data cloud and the hypothesis of group differences. All environmental parameters in this analysis were log-transformed except for proportion of clay because it did not have a skewed distribution.