10.5061/DRYAD.RJ083BV
Donovan, Mary K.
University of Hawaii at Manoa
Friedlander, Alan M.
National Geographic Society
Lecky, Joey
Louisiana Department of Natural Resources
Jouffray, Jean-Baptiste
Stockholm Resilience Centre
Williams, Gareth J.
Bangor University
Wedding, Lisa M.
Stanford University
Crowder, Larry B.
Stanford University
Erickson, Ashley L.
Stanford University
Graham, Nick A. J.
Lancaster University
Gove, Jamison M.
National Oceanic and Atmospheric Administration
Kappel, Carrie V.
University of California, Santa Barbara
Karr, Kendra
Environmental Defense Fund
Kittinger, John N.
Conservation International
Norström, Albert V.
Stockholm Resilience Centre
Nyström, Magnus
Stockholm Resilience Centre
Oleson, Kirsten L. L.
Louisiana Department of Natural Resources
Stamoulis, Kostantinos A.
University of Hawaii at Manoa
White, Crow
California State Polytechnic University
Williams, Ivor D.
National Oceanic and Atmospheric Administration
Selkoe, Kimberly A.
University of California, Santa Barbara
Data from: Combining fish and benthic communities into multiple regimes
reveals complex reef dynamics
Dryad
dataset
2018
Macroalgae
regime shift
Model-based Clustering
2018-11-16T16:47:01Z
2018-11-16T16:47:01Z
en
https://doi.org/10.1038/s41598-018-35057-4
290831 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Coral reefs worldwide face an uncertain future with many reefs reported to
transition from being dominated by corals to macroalgae. However, given
the complexity and diversity of the ecosystem, research on how regimes
vary spatially and temporally is needed. Reef regimes are most often
characterised by their benthic components; however, complex dynamics are
associated with losses and gains in both fish and benthic assemblages. To
capture this complexity, we synthesised 3,345 surveys from Hawai‘i to
define reef regimes in terms of both fish and benthic assemblages.
Model-based clustering revealed five distinct regimes that varied
ecologically, and were spatially heterogeneous by island, depth and
exposure. We identified a regime characteristic of a degraded state with
low coral cover and fish biomass, one that had low coral but high fish
biomass, as well as three other regimes that varied significantly in their
ecology but were previously considered a single coral dominated regime.
Analyses of time series data reflected complex system dynamics, with
multiple transitions among regimes that were a function of both local and
global stressors. Coupling fish and benthic communities into reef regimes
to capture complex dynamics holds promise for monitoring reef change and
guiding ecosystem-based management of coral reefs.
Hawaii_regimesHawaii_regimes.csv is a comma-separated file containing data
used to define reef regimes for the Hawaii Islands. The file includes
metadata for 1027 replicates, 10 reef community metrics used to define
regimes in a cluster analysis, and the resulting reef regime. Reef
community metrics are averages of individual replicates grouped based on
spatial proximity. Details of the analysis can be found in the
accompanying publication. Parties interested in using this data for other
purposes are asked to contact Mary Donovan
(donovan.maryk@gmail.com).Hawaii_regime_timeseries_Hawaii_regime_timeseries.csv is a comma-separated file containing data used to investigate changes in regimes over time. The file includes metadata for 1279 replicates across multiple years, 10 reef community metrics used to define regimes in a cluster analysis, and the geographic location of the replicate. Details of the analysis can be found in the accompanying publication. Parties interested in using this data for other purposes are asked to contact Mary Donovan (donovan.maryk@gmail.com).Hawaii_regime_driversHawaii_regime_drivers.csv is a comma-separated file containing data used to understand relationships between regime transitions and local and global drivers. The file includes data on human population density and degree heating weeks for each replicate found in Hawaii_regime_timeseries.csv. Details of the analysis can be found in the accompanying publication. Parties interested in using this data for other purposes are asked to contact Mary Donovan (donovan.maryk@gmail.com).
Hawaii