Comparison of recruitment tile materials for monitoring coralline algae responses to a changing climate

Similar documents
One-factor ANOVA by example

1. The data below gives the eye colors of 20 students in a Statistics class. Make a frequency table for the data.

Unit 4: Inference for numerical variables Lecture 3: ANOVA

ANOVA - Implementation.

Introduction to Analysis of Variance (ANOVA) The Structural Model, The Summary Table, and the One- Way ANOVA

Week 7 One-way ANOVA

OBSERVING CORALS and ALGAE:

Appendix 1 Figure A1.1.

Data Set 7: Bioerosion by Parrotfish Background volume of bites The question:

Example 1: One Way ANOVA in MINITAB

Pre and Post Dredging Coral Health Monitoring

One-way ANOVA: round, narrow, wide

Experimental Studies of Factors Affecting Coral Recruitment in La Parguera, Puerto Rico. Alina Szmant (UNCW) and Ernesto Weil (RUM)

Sea urchins, macroalgae and coral reef decline: a functional evaluation of an intact reef system, Ningaloo, Western Australia

Analysis of Variance. Copyright 2014 Pearson Education, Inc.

Experimental Design and Data Analysis Part 2

Internet Technology Fundamentals. To use a passing score at the percentiles listed below:

Class 23: Chapter 14 & Nested ANOVA NOTES: NOTES: NOTES:

Baseline Assessment of Angaur Conservation area

STANDARD SCORES AND THE NORMAL DISTRIBUTION

2016 ANNUAL FISH TRAWL SURVEY REPORT

Select Boxplot -> Multiple Y's (simple) and select all variable names.

Fig. 1 Regions of the continental U.S. and southern Canada included in the Christmas Bird Count (CBC). Points designate CBC survey locations.

Ecological Interactions in Coastal Marine Ecosystems: Rock Lobster

WATER OIL RELATIVE PERMEABILITY COMPARATIVE STUDY: STEADY VERSUS UNSTEADY STATE

Protocol 1. Site Conditions Data Sheet

Setting up group models Part 1 NITP, 2011

Haddock (Melanogrammus aeglefinus) in divisions 7.b k (southern Celtic Seas and English Channel)

Section I: Multiple Choice Select the best answer for each problem.

Midterm Exam 1, section 2. Thursday, September hour, 15 minutes

y ) s x x )(y i (x i r = 1 n 1 s y Statistics Lecture 7 Exploring Data , y 2 ,y n (x 1 ),,(x n ),(x 2 ,y 1 How two variables vary together

Results of a Suspended Solids Survey at the Whites Point Quarry, Little River, Digby County, Nova Scotia

MJA Rev 10/17/2011 1:53:00 PM

Stats 2002: Probabilities for Wins and Losses of Online Gambling

Legendre et al Appendices and Supplements, p. 1

Time Will Tell: Long-term Observations of the Response of Rocky-Habitat Fishes to Marine Reserves in Puget Sound

Comparative growth of pinfish in field mesocosms across marsh, oyster, and soft-bottom habitat types in a Mississippi estuary

Empirical Example II of Chapter 7

Announcements. Lecture 19: Inference for SLR & Transformations. Online quiz 7 - commonly missed questions

Warm-up. Make a bar graph to display these data. What additional information do you need to make a pie chart?

EXST7015: Salaries of all American league baseball players (1994) Salaries in thousands of dollars RAW DATA LISTING

Youngs Creek Hydroelectric Project (FERC No. P 10359)

This presentation focuses on: 1. The results of the first four years of compliance monitoring of the Wheeler North Reef, 2. An evaluation of the

The Population Density of Diadema antillarum at Champagne Reef at Scott s Head Soufriere Marine Reserve

Experimental Studies of Factors Affecting Coral Recruitment Success in La Parguera, Puerto Rico. Alina Szmant (UNCW) and Ernesto Weil (RUM)

LLANBRYNMAIR WIND FARM

Study Update Fish Distribution and Species Composition

Protect Our Reefs Grant Interim Report (October 1, 2008 March 31, 2009) Principal investigators: Donald C. Behringer and Mark J.

PLANNED ORTHOGONAL CONTRASTS

Chapter 13. Factorial ANOVA. Patrick Mair 2015 Psych Factorial ANOVA 0 / 19

Youngs Creek Hydroelectric Project

Statistical Analysis of PGA Tour Skill Rankings USGA Research and Test Center June 1, 2007

A Combined Recruitment Index for Demersal Juvenile Cod in NAFO Divisions 3K and 3L

N. Abid 2 and M. Idrissi 1 ABSTRACT

John Brewer Reef Sunferries-Townsville

How many adult oysters are in the Great Bay Estuary and how has it changed over time?

Sea urchin density along a depth gradient at Rodney's Rock and Champagne Bay, Dominica

This sample test provides an indication of the format and structure of the live confirmatory tests that are available.

ASTERISK OR EXCLAMATION POINT?: Power Hitting in Major League Baseball from 1950 Through the Steroid Era. Gary Evans Stat 201B Winter, 2010

Whiting (Merlangius merlangus) in divisions 7.b c and 7.e k (southern Celtic Seas and western English Channel)

PHYSICAL CHARACTERISTICS OF FEMALE BASKETBALL PLAYERS ACCORDING TO PLAYING POSITION

A few things to remember about ANOVA

Bioerosion Monitoring Unit (BMU) SOP

Minimal influence of wind and tidal height on underwater noise in Haro Strait

C R I TFC. Columbia River Inter-Tribal Fish Commission

Exploration and Mine Site Model Applied to Seamount Lease-Block Selection for Cobalt-Rich Crusts. James R. Hein U.S. Geological Survey For the ISA

Equilibrium. Observations

Windcube FCR measurements

Chapter 9 Gases: Their Properties and Behavior

IDENTIFYING SUBJECTIVE VALUE IN WOMEN S COLLEGE GOLF RECRUITING REGARDLESS OF SOCIO-ECONOMIC CLASS. Victoria Allred

WEEKLY SALES SUMMARY Unaudited Week Ending: 3/31/2018

Reef Check Australia. Magnetic Island Season Report 2016

FINAL REPORT TO QUEENSLAND FISHERIES MANAGEMENT AUTHORITY

Artificial Reef Program Biological Monitoring Update

Stat 139 Homework 3 Solutions, Spring 2015

Walk - Run Activity --An S and P Wave Travel Time Simulation ( S minus P Earthquake Location Method)

The speed of an inline skater is usually described in meters per second. The speed of a car is usually described in kilometers per hour.

ATION TITLE. Survey QC, Decision Making, and a Modest Proposal for Error Models. Marc Willerth, MagVAR

The History of Coastal Flood Hazard Assessments in the Great Lakes

Describing a journey made by an object is very boring if you just use words. As with much of science, graphs are more revealing.

Manual for continuous distillation

Analysis of Catch Quota for Kemedukl and Maml in Palauan Water

Two types of physical and biological standards are used to judge the performance of the Wheeler North Reef 1) Absolute standards are measured against

Factorial Analysis of Variance

Observed pattern of diel vertical migration of Pacific mackerel larvae and its implication for spatial distribution off the Korean Peninsula

Descriptive Statistics

Oceanic Society Reef Research Team: Nicole Crane, Avigdor Abelson, Peter Nelson, Giacomo Bernardi, Michelle Paddack, Kate Crosman

Integrating basic and applied ecology using paired artificial natural reef systems.

Big Bend Oyster Research

(2) An object has an initial speed u and an acceleration a. After time t, its speed is v and it has moved through a distance s.

Mass coral mortality under local amplification of 2 C ocean warming

Announcements. % College graduate vs. % Hispanic in LA. % College educated vs. % Hispanic in LA. Problem Set 10 Due Wednesday.

Factorial ANOVA Problems

Biostatistics & SAS programming

Chapter 12 Practice Test

CALCIFICATION ACCRETION UNIT (CAU) ASSEMBLY, DEPLOYMENT AND RECOVERY

Quantitative Literacy: Thinking Between the Lines

Subtidal and intertidal restored reefs in North Carolina


MATH GRADE 6 UNIT 6 RATE ANSWERS FOR EXERCISES

Transcription:

The following supplement accompanies the article Comparison of recruitment tile materials for monitoring coralline algae responses to a changing climate Emma V. Kennedy*, Alexandra Ordoñez, Bonnie E. Lewis, Guillermo Diaz-Pulido *Corresponding author: emma.kennedy@griffith.edu.au Marine Ecology Progress Series 569: 129 144 (2017) Table S1. Summary of all data on coralline algae collected from experimental tiles. Habitat Tile material Orientation 3 month deployment 6 months Abundance Calcification Herbivory No. taxa Calcification % cover SE mg cm -2 day -1 SE % grazed SE Taxa SE mg cm -2 day -1 SE Fore reef (crest) Polycarbonate H 34.2 8.0 0.29 0.03 10.0 6.0 6.0 1.0 0.23 0.04 V 26.9 4.9 0.28 0.03 4.5 2.4 5.0 1.0 0.18 0.01 PVC Terracotta Limestone Porcelain Glass H 32.7 0.9 0.32 0.03 15.3 1.2 6.0 0.0 0.27 0.03 V 33.0 13.4 0.30 0.02 4.3 0.5 6.5 2.5 0.23 0.01 H 46.5 6.1 1.39 0.12 0.0 0.0 7.0 1.0 0.99 0.08 V 32.0 18.0 1.28 0.10 4.4 4.4 8.0 3.0 0.77 0.04 H 23.5 10.6 0.15 0.04 4.6 2.2 4.5 0.5 0.16 0.02 V 34.5 8.2 0.11 0.04 0.9 0.9 7.5 1.5 0.15 0.02 H 30.1 5.0 0.36 0.10 4.6 2.4 6.0 1.0 0.21 0.04 V 35.3 10.6 0.30 0.07 0.0 0.0 4.0 0.0 0.26 0.07 H 36.2 6.4 0.37 0.06 0.7 0.7 4.0 0.0 0.17 0.02 V 29.7 21.5 0.25 0.05 2.9 2.9 5.0 0.0 0.29 0.05 Fore reef (slope) Polycarbonate H 38.8 8.6 0.18 0.01 8.4 5.8 7.0 1.0 0.18 0.01 V 23.3 0.9 0.24 0.01 6.7 2.1 6.0 2.0 0.17 0.01 Back reef PVC Terracotta Limestone Porcelain Glass Polycarbonate PVC Terracotta Limestone Porcelain Glass H 36.9 3.7 0.23 0.01 5.7 1.4 6.0 0.0 0.23 0.03 V 35.7 3.0 0.27 0.02 9.2 1.5 7.5 1.5 0.22 0.03 H 51.3 6.3 1.04 0.21 2.7 2.7 6.5 0.5 0.89 0.10 V 37.0 4.5 1.17 0.04 2.0 2.0 8.0 0.0 0.78 0.06 H 38.9 1.1 0.08 0.02 0.6 0.6 7.5 0.5 0.19 0.04 V 28.0 5.9 0.12 0.01 1.1 1.1 8.5 3.5 0.13 0.02 H 39.4 4.0 0.19 0.04 4.1 4.1 6.0 0.0 0.22 0.02 V 18.3 5.3 0.18 0.01 0.0 0.0 4.0 0.0 0.18 0.02 H 41.4 12.8 0.11 0.03 7.2 2.4 3.0 1.0 0.11 0.03 V 22.2 16.7 0.40 0.15 0.0 0.0 2.0 0.0 0.15 0.02 H 11.9 3.0 0.26 0.05 7.5 7.5 2.0 0.0 0.16 0.03 V 23.2 0.8 0.23 0.03 1.5 1.1 3.0 1.0 0.10 0.01 H 7.0 0.6 0.33 0.09 4.6 4.6 3.0 1.0 0.20 0.04 V 16.7 2.9 0.40 0.16 19.9 11.1 5.0 1.0 0.18 0.02 H 11.9 2.3 1.23 0.23 3.5 1.7 3.5 1.5 0.63 0.05 V 27.2 6.1 1.11 0.04 0.0 0.0 4.0 0.0 0.64 0.03 H 8.1 4.1 0.19 0.04 1.8 1.8 2.5 0.5 0.06 0.01 V 8.2 1.3 0.12 0.02 3.3 3.3 4.0 0.0 0.08 0.02 H 3.2 0.0 0.43 0.16 0.0 0.0 1.5 0.5 0.22 0.10 V 15.5 2.5 0.40 0.03 0.0 0.0 5.0 1.0 0.28 0.06 H 7.2 5.6 0.31 0.08 0.0 0.0 3.5 0.5 0.25 0.06 V 8.6 4.9 0.52 0.10 0.0 0.0 2.0 0.0 0.32 0.05 1

Table S2: Three-way ANOVA output comparing coralline algae abundance (% cover) on tile type (material), tile orientation (vertical vs horizontal orientation) and habitat (fore reef crest vs reef slope vs back reef). Test was run on untransformed data (met assumptions of normality (Shapiro- Wilk) and homogeneity of variance (Fligner-Killeen). Df Sum Sq Mean Sq F value Pr(>F) Material 5 1053 211 1.667 0.16775 Orientation 1 101 101 0.8 0.37701 Habitat 2 7246 3623 28.682 3.55E-08 *** Material:Orientation 5 241 48 0.381 0.85831 Material:Habitat 10 350 35 0.277 0.98247 Orientation:Habitat 2 1438 719 5.693 0.00711 ** Material:Orientation:Habitat 10 655 65 0.518 0.86568 Residuals 36 4547 126 Table S3: Four-way ANOVA output comparing coralline algae calcification rate (mg CaCO 3 cm -2 day -1 ) on tile type (material), tile orientation (vertical vs horizontal orientation), habitat (fore reef crest vs reef slope vs back reef) and time (3 month duration vs 6 month duration). Df Sum Sq Mean Sq F value Pr(>F) Material 5 44.52 8.904 241.243 <2.00E-16*** Orientation 1 0.05 0.05 1.343 0.2474 Habitat 2 0.27 0.136 3.672 0.0266* Time 1 1.92 1.921 52.051 4.77E-12*** Material:Orientation 5 0.28 0.056 1.515 0.1849 Material:Habitat 10 0.76 0.076 2.057 0.0279* Orientation:Habitat 2 0.16 0.081 2.205 0.1121 Material:Time 5 2.31 0.463 12.538 4.99E-11*** Orientation:Time 1 0.02 0.019 0.525 0.4694 Habitat:Time 2 0.3 0.148 3.999 0.0194* Material:Orientation:Habitat 10 0.13 0.013 0.343 0.9685 Material:Orientation:Time 5 0.04 0.008 0.23 0.9493 Material:Habitat:Time 10 0.12 0.012 0.313 0.9775 Orientation:Habitat:Time 2 0.17 0.084 2.277 0.1044 Material:Orientation:Habitat:Time 10 0.18 0.018 0.482 0.9011 Residuals 289 10.67 0.037 Table S4: Three-way ANOVA output comparing the percent calcifiers on tile type (material), tile orientation (vertical vs horizontal orientation) and habitat (fore reef crest vs reef slope vs back reef). Data were roottransformed to fit the assumptions of normality (Shapiro-Wilk) and homogeneity of variance (Fligner-Killeen). Df Sum Sq Mean Sq F value Pr(>F) Material 5 23.26 4.653 4.669 0.002183 ** Orientation 1 13.71 13.706 13.754 0.000699 *** Habitat 2 41.7 20.852 20.926 9.35E-07 *** Material:Orientation 5 4.01 0.802 0.805 0.553512 Material:Habitat 10 9.32 0.932 0.935 0.513804 Orientation:Habitat 2 2.96 1.48 1.485 0.239994 Material:Orientation:Habitat 10 6 0.6 0.602 0.8016 Residuals 36 35.87 0.996 2

Table S5: Summary of community data (% cover) from experimental tiles and quadrats Deployment location (habitat) Fore reef crest Fore reef slope Back reef Tile material Tile Percentage cover (mean) orientation (horizontal or vertical) Porolithon Neogoniolithon Pneophyllum Hydrolithon Titanoderma Polycarbonate H 25.0 1.5 1.8 3.6 0.0 1.2 0.0 1.0 2.9 37.3 0.0 0.2 0.2 25.4 34.2 V 5.4 0.9 0.9 14.1 0.0 0.6 0.0 5.1 4.0 39.3 0.0 1.0 0.8 28.6 26.9 PVC H 17.8 5.9 6.5 0.9 0.0 0.4 0.0 1.2 8.6 34.2 0.0 0.0 0.0 24.5 32.7 V 16.9 0.4 5.8 5.4 0.4 3.2 0.0 1.0 14.8 32.1 7.9 0.2 0.2 12.1 33.0 Terracotta H 26.8 2.4 14.1 0.3 0.0 0.7 0.0 2.2 3.7 28.9 0.0 0.1 0.0 20.8 46.5 V 24.1 1.7 2.4 1.7 0.6 0.8 0.4 0.3 11.7 38.7 0.0 0.0 0.5 17.3 32.0 Limestone H 19.0 1.9 0.0 2.0 0.0 0.0 0.0 0.5 3.5 53.5 0.0 0.0 0.0 19.1 23.5 V 15.6 1.7 9.5 3.7 0.4 0.7 0.0 2.9 10.7 42.7 0.0 0.5 6.1 5.4 34.5 Porcelain H 15.2 2.0 6.5 5.2 0.5 0.5 0.0 0.3 4.0 35.8 0.0 0.3 0.0 29.7 30.1 V 11.7 1.9 2.3 16.3 0.6 0.0 0.0 2.6 19.5 14.0 0.0 2.5 0.0 28.9 35.3 Glass H 2.5 1.0 2.2 29.8 0.0 0.7 0.0 0.0 1.3 12.6 0.0 0.0 0.0 44.9 36.2 V 1.1 1.5 1.7 24.5 0.6 0.3 0.0 0.1 7.0 6.8 0.1 2.2 0.0 53.6 29.7 Reef data Quadrat 14.3 1.2 1.0 1.7 0.0 5.1 0.0 4.2 n/a n/a n/a n/a n/a n/a 28.0 Polycarbonate H 22.4 0.9 9.8 1.6 1.3 0.5 0.0 2.4 7.2 30.7 0.0 0.0 0.0 23.1 38.8 V 8.2 1.8 4.5 6.9 0.3 0.3 0.0 1.3 10.2 48.4 0.0 1.5 0.0 16.7 23.3 PVC H 17.0 3.3 12.3 1.9 0.9 0.9 0.0 0.5 12.1 34.7 0.5 0.5 0.5 14.4 36.9 V 10.8 1.8 7.4 7.1 1.2 6.4 0.0 1.0 18.7 34.9 0.0 0.2 0.0 10.3 35.7 Terracotta H 42.0 3.1 1.4 1.3 0.7 1.8 0.0 1.0 9.3 25.0 0.0 0.5 0.0 12.4 51.3 V 19.0 1.5 8.5 4.8 0.9 1.1 0.0 1.2 11.2 42.0 0.0 1.0 0.1 7.3 37.0 Limestone H 17.5 3.0 8.9 4.1 1.1 0.0 0.0 4.2 11.1 31.9 1.2 0.4 0.0 16.9 38.9 V 7.1 2.6 3.9 8.3 2.0 1.4 0.0 2.6 25.8 31.9 0.0 1.2 0.0 11.9 28.0 Porcelain H 18.2 0.0 17.6 1.3 0.0 0.6 0.6 1.3 5.8 27.0 0.0 0.0 0.0 28.0 39.4 V 7.0 1.2 0.1 8.3 0.7 0.0 0.0 1.1 17.7 13.5 9.2 0.3 0.0 41.2 18.3 Glass H 0.9 0.0 0.0 40.2 0.0 0.0 0.0 0.3 3.1 11.8 0.0 0.0 0.0 43.5 41.4 V 0.0 0.0 0.0 20.2 0.1 0.0 1.1 0.9 0.7 3.4 0.0 0.0 0.0 73.5 22.2 Reef data Quadrat 5.6 1.7 2.1 1.6 0.2 1.8 0.0 6.1 n/a n/a n/a n/a n/a n/a 19.0 Polycarbonate H 4.7 0.0 0.5 2.3 0.0 0.0 0.0 4.4 0.8 29.5 8.1 0.1 0.0 49.3 11.9 V 3.3 1.5 4.9 12.7 0.0 0.0 0.0 0.9 5.2 35.8 0.0 0.6 0.6 34.9 23.2 PVC H 2.8 0.6 1.2 0.2 0.0 0.0 0.0 2.2 1.7 26.2 7.3 0.1 1.7 56.5 7.0 V 7.4 0.4 0.0 5.1 0.1 0.2 0.0 3.5 4.2 45.6 0.0 0.4 1.1 32.0 16.7 Terracotta H 1.8 0.2 2.1 4.7 0.0 0.0 0.0 3.0 2.7 34.0 17.6 0.0 0.0 33.9 11.9 V 14.6 0.2 0.5 8.2 0.0 0.0 0.0 3.7 2.9 41.7 2.1 0.3 0.5 25.7 27.2 Limestone H 1.9 0.2 1.1 0.0 0.0 0.0 0.2 4.7 2.5 24.6 7.2 0.0 0.0 57.9 8.1 V 3.9 0.0 1.6 1.2 0.0 0.1 0.0 1.4 3.5 52.7 3.2 0.0 0.5 31.6 8.2 Porcelain H 1.1 0.0 0.9 0.0 0.0 0.0 0.0 1.3 0.6 53.7 7.5 0.1 0.0 35.0 3.2 V 5.6 0.5 2.2 6.7 0.1 0.0 0.0 0.5 2.0 40.3 0.0 0.7 1.0 40.9 15.5 Glass H 2.0 0.2 0.4 3.4 0.0 0.3 0.0 1.0 0.9 26.2 0.0 0.0 0.0 65.9 7.2 V 0.0 0.9 1.2 5.9 0.7 0.0 0.0 0.0 0.0 27.0 0.4 0.1 0.4 64.0 8.6 Reef data Quadrat 3.9 0.6 0.5 0.1 0.0 2.2 0.0 2.5 n/a n/a n/a n/a n/a n/a 10.0 Lithophyllum Sporolithon Other CCA Peyssonelia Turf algae Macroalgae Other calcifiers Other Bare/biofilm Total CCA 3

Table S6: Three-way ANOVA output comparing species richness (total species) on tile type (material), tile orientation (vertical vs horizontal orientation) and habitat (fore reef crest vs reef slope vs back reef). Species data met the assumptions of homogeneity of variance (Fligner-Killeen) and were square root-transformed to improve normality (Shapiro-Wilk). Df Sum Sq Mean Sq F value Pr(>F) Material 5 3.587 0.7174 6.169 0.000317 *** Orientation 1 0.234 0.2343 2.015 0.164404 Habitat 2 6.241 3.1204 26.83 7.36E-08 *** Material:Orientation 5 0.657 0.1314 1.13 0.362202 Material:Habitat 10 1.856 0.1856 1.596 0.147575 Orientation:Habitat 2 0.456 0.228 1.96 0.155605 Material:Orientation:Habitat 10 1.651 0.1651 1.419 0.211323 Residuals 36 4.187 0.1163 Table S7: PERMANOVA outputs for root transformed (to meet the criteria of homogeneity of dispersion (PERMDISP)) community composition by species. Factors Name Abbrev. Type Levels Orientation Or Fixed 2 Material Su Fixed 6 Site Si Fixed 3 PERMANOVA table of results Source df SS MS Pseudo-F P(perm) Unique perms Or 1 6832.6 6832.6 4.4933 0.002 996 * Su 5 37503 7500.7 4.9327 0.001 999 ** Si 2 9568.5 4784.3 3.1463 0.001 999 ** OrxSu 5 10887 2177.4 1.4319 0.094 996 OrxSi 2 9158.9 4579.5 3.0116 0.003 998 * SuxSi 10 14639 1463.9 0.9627 0.558 995 OrxSuxSi 10 16061 1606.1 1.0562 0.366 997 Res 36 54742 1520.6 Total 71 1.58E+05 Table S8: 3-way ANOVA output on mean coralline crust size (mm 2 ) on each tile. Data ninth-root transformed prior to analysis. Df Sum Sq Mean Sq F value Pr(>F) Material 5 0.02967 0.00593 2.29 0.066191. Orientation 1 0.00006 5.6E-05 0.022 0.884165 Habitat 2 0.05277 0.02639 10.181 0.000313 *** Material:Orientation 5 0.00162 0.00032 0.125 0.985825 Material:Habitat 10 0.02418 0.00242 0.933 0.515372 Orientation:Habitat 2 0.01518 0.00759 2.928 0.066337. Material:Orientation:Habitat 10 0.02531 0.00253 0.976 0.480254 Residuals 36 0.0933 0.00259 4

Table S9: a comparison of crust sizes for the major CCA taxa found on recruitment tiles after 3 months in Heron Island, Southern Great Barrier Reef. Coralline algae taxa Crust size (mm 2 ) Min Max Mean Median SE Porolithon 1.81 81.00 18.18 15.34 1.64 Neogoniolithon 2.03 58.73 15.75 12.15 1.88 Pneophyllum 4.05 164.03 26.29 17.21 4.73 Hydrolithon 1.23 767.48 44.54 14.33 15.12 Titanoderma 2.03 46.58 16.56 14.18 2.46 Lithophyllum 4.05 27.74 11.44 10.13 1.03 Sporolithon 3.71 24.3 12.57 11.14 4.76 5

Figure S1: Percent cover of calcifiers other than CCA (e.g., peyssonelia, serpulid worms, bryozoans, oysters) recorded on six experimental tile materials, at two orientations (horizontal and vertical), across three reef habitats on Heron Island. 6

Figure S2: Bar graph showing relative coralline algae community composition, across three reef habitats (fore reef crest, slope and back reef), six experimental tile types and two tile orientations (H, horizontal and V, vertical). CCA data pooled by genus. Final column shows benthic reef survey data, taken from the same site. 7

% tile area grazed 18 16 14 12 10 8 6 4 2 0 Horizontally oriented Vertically oriented Polycarbonate PVC Terracotta Limestone Porcelain Glass Figure S3. Bar graph showing pooled herbivory estimates (fore reef crest and slope data) for six different tile types, and two orientations, plus Standard Deviations. Back reef data were negligible. Grazing is heaviest on plastic (PVC and polycarbonate) tiles, and on horizontally oriented tiles. 8