Data and code from: Taxon- and size-specific variation in coral growth between tropical and subtropical-temperate reefs of the western Pacific
Data files
Sep 30, 2026 version files 214.80 KB
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coral_growth.csv
171.75 KB
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env.csv
3.24 KB
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function.R
15.83 KB
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R_analysis.R
17.92 KB
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README.md
6.05 KB
Abstract
Aim: Growth is a key demographic process shaping population dynamics by regulating reproduction and mortality, with important consequences for the latitudinal structuring of coral assemblages. Although growth in reef-building corals generally declines with increasing latitude, it remains unclear whether this pattern is consistent across taxa and colony sizes. Here, we test the hypothesis that coral growth responses differ between tropical and subtropical-temperate regions, and these differences are both size-dependent and taxon-specific, reflecting differential environmental constraints and life-history strategies.
Location: Western Pacific
Taxon: Scleractinian corals
Methods: We quantified annual growth rates for 941 colonies spanning a wide size range (planar tissue area, 0.2–1,904 cm²) from five common coral genera (Acropora, Pocillopora, Porites, Dipsastraea, and Favites) across tropical (7 sites, 5°S–9°N) and subtropical–temperate (7 sites, 26–32°N) regions in the western Pacific from 2012 to 2014. For each genus, we applied linear mixed-effects models to evaluate whether growth differed between latitudinal regions and how it varied with colony size.
Results: We found pronounced genus- and size-specific growth patterns across latitudinal regions. Pocillopora and Porites grew faster in the tropical region, with differences decreasing as colony size increased. Acropora showed similar trends, but high individual variability obscured significant differences. In contrast, Dipsastraea and Favites exhibited faster growth in the tropical region primarily in juvenile size classes.
Main conclusions: Our findings challenge the assumption of uniform latitudinal declines in coral growth and demonstrate that growth responses across latitudinal regions depend strongly on both taxon and colony size. Incorporating such variability into demographic models will improve predictions of trajectories and tropicalization in coral assemblages under ongoing climate warming.
This README.md was generated on 2026-09-24 by Yuting Vicky Lin (vicky.linyuting@gmail.com).
- Author Information
- First & corresponding author
- Name: Dr. Yuting Vicky Lin
- Institution: Sesoko Marine Research Station, Tropical Biosphere Research Center, University of the Ryukyus, Okinawa 905-0227, Japan
- Second author
- Name: Dr. Munasik Munasik
- Institution: Department of Marine Science, Faculty of Fisheries and Marine Science, Diponegoro University, Semarang, Indonesia
- Third author
- Name: Dr. Kakaskasen Andreas Roeroe
- Institution: Department of Marine Science, Faculty of Fisheries and Marine Sciences, Sam Ratulangi University, Manado, Indonesia
- Fourth author
- Name: Dr. Seiji Arakaki
- Institution: Amakusa Marine Biological Laboratory, Kyushu University, Kumamoto, Japan
- Fifth author
- Name: Dr. Takuma Mezaki
- Institution: Kuroshio Biological Research Foundation, Kochi, Japan
- Sixth author
- Name: Dr. Takashi Kawai
- Institution: Tokyo Kyuei Co., Ltd., Saitama, Japan
- Seventh author
- Name: Dr. Jean J.B. Tanangonan
- Institution: Department of Environmental Management, Faculty of Agriculture, Kindai University, Nara, Japan
- Eighth author
- Name: Dr. Diah Permata Wijayanti
- Institution: Department of Marine Science, Faculty of Fisheries and Marine Science, Diponegoro University, Semarang, Indonesia
- Ninth & corresponding author
- Name: Dr. Yoko Nozawa
- Institution: Sesoko Marine Research Station, Tropical Biosphere Research Center, University of the Ryukyus, Okinawa 905-0227, Japan; Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
- Email: nozaway@cs.u-ryukyu.ac.jp
- Date of data collection: 2012-2014
- Geographic location of data collection: Western Pacific
- Funding sources that supported the collection of the data:
The study was funded by the Thematic Research Grant of Academia Sinica (23-2g) and an Internal Research Grant of the Biodiversity Research Center, Academia Sinica. Y.N. Y.V.L. received a fellowship from the Postdoctoral Research Abroad Program (113-2917-I-564-034), funded by the National Science and Technology Council, Taiwan.
- Recommended citation for this dataset
Lin YV, Munasik M, Roeroe K, Arakaki S, Mezaki T, Kawai T, Tanangonan J, Wijayanti DP, Nozawa Y. Taxon- and size-specific variation in coral growth between tropical and subtropical-temperate reefs of the western Pacific. Accepted by the Journal of Biogeography on 22 September 2026
DESCRIPTION OF THE DATA AND FILE STRUCTURE
DATA & FILE OVERVIEW
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Description of dataset
These data were used to analyze the growth pattern for five coral genera in the tropical and subtropical-temperate regions in the western Pacific.
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File List
- File 1: env.csv
- File 1 description: 16 environmental parameters across 14 sites in the western Pacific
- File 2: coral_growth.csv
- File 2 description: Country, location, latitude, longitude, latitudinal region, and other sampling information for 1258 coral colonies sampled in the western Pacific
- File 1: env.csv
DATA-SPECIFIC INFORMATION
env.csv
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Number of variables/columns: 21
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Number of cases/rows: 14
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Missing data codes
None
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Variable List
- Column A - No
- Column B - Site
- Column C - Lat
- Column D - Lon
- Column E – Lat_GP
- Column F – SST_mean
- Column G – SST_sd
- Column H – SST_max
- Column I – SST_min
- Column J – PAR_mean
- Column K – PAR_sd
- Column L – PAR_max
- Column M – PAR_min
- Column N – chla_mean
- Column O – chla_sd
- Column P – chla_max
- Column Q – chla_min
- Column R – kd490_mean
- Column S – kd490_sd
- Column T – kd490_max
- Column U – kd490_min
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Abbreviations used
- for variables:
- No: Number
- Lat: Latitude
- Lon: Longitude
- Lat_GP: Latitudinal region
- SST: Sea surface temperature
- PAR: Photosynthetically active radiation
- chla: Chlorophyll a
- kd490: Diffuse attenuation coefficient at 490 nm
- sd: standard deviation
- for variables:
coral_growth.csv
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Number of variables/columns: 18
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Number of cases/rows: 1258
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Missing data codes
None
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Variable List
- Column A - Country
- Column B - Location
- Column C - Site
- Column D - Latitude
- Column E – Longitude
- Column F – Lat_reg
- Column G – Quadrat_number
- Column H – CoralID
- Column I – Genus
- Column J – Morpho
- Column K – Sampling_1
- Column L – Area_1
- Column M – Sampling_2
- Column N – Area_2
- Column O – Sampling_3
- Column P – Area_3
- Column Q – Interval_days_12
- Column R – Interval_days_23
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Abbreviations used
- for environmental factors:
- Lat_reg: Latitudinal region
- Sampling_1: First sampling date
- Area_1: Size at the first sampling (cm^2)
- Sampling_2: Second sampling date
- Area_2: Size at the second sampling (cm^2)
- Sampling_3: Third sampling date
- Area_3: Size at the third sampling (cm^2)
- Interval_days_12: Number of days between first and second samplings
- Interval_days_23: Number of days between second and third samplings
- for environmental factors:
Usage notes
R is required to open R_analysis.R and function.R; the scripts were created using version 4.4.0. function.R contains all necessary functions for conducting analyses; therefore, run function.R before running the analysis in R_analysis.R. Microsoft Excel can be used to view env.csv and coral_growth.csv. The packages required are: library(lme4); library(lmerTest); library(dplyr); library(ggplot2); library(ggrepel); library(stats); library(tidyr); library(utils); library(vegan); library(stats); library(glmmTMB); library(DHARMa); library(sjPlot)
