Final published version
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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Parsing human and biophysical drivers of coral reef regimes
AU - Jouffray, J.-B.
AU - Wedding, L.M.
AU - Norström, A.V.
AU - Donovan, M.K.
AU - Williams, G.J.
AU - Crowder, L.B.
AU - Erickson, A.L.
AU - Friedlander, A.M.
AU - Graham, N.A.J.
AU - Gove, J.M.
AU - Kappel, C.V.
AU - Kittinger, J.N.
AU - Lecky, J.
AU - Oleson, K.L.L.
AU - Selkoe, K.A.
AU - White, C.
AU - Williams, I.D.
AU - Nyström, M.
N1 - Export Date: 21 March 2019 CODEN: PRLBA Correspondence Address: Jouffray, J.-B.; Stockholm Resilience Centre, Stockholm UniversitySweden; email: jean-baptiste.jouffray@su.se Funding details: Svenska Forskningsrådet Formas, 2015-743 Funding details: National Oceanic and Atmospheric Administration, NOAA, NA14NOS4820098 Funding text 1: Mistra supported this research through a core grant to the Stockholm Resilience Centre. J.-B.J. was supported by the Erling-Pers-son Foundation and the Swedish Research Council Formas (project no. 2015-743). The study was part of the Ocean Tipping Points project, funded by the Gordon and Betty Moore Foundation (grant no. 2897.01) and the NOAA Coral Reef Conservation Program (grant no. NA14NOS4820098).
PY - 2019/2/28
Y1 - 2019/2/28
N2 - Coral reefs worldwide face unprecedented cumulative anthropogenic effects of interacting local human pressures, global climate change and distal social processes. Reefs are also bound by the natural biophysical environment within which they exist. In this context, a key challenge for effective management is understanding how anthropogenic and biophysical conditions interact to drive distinct coral reef configurations. Here, we use machine learning to conduct explanatory predictions on reef ecosystems defined by both fish and benthic communities. Drawing on the most spatially extensive dataset available across the Hawaiian archipelago-20 anthropogenic and biophysical predictors over 620 survey sites-we model the occurrence of four distinct reef regimes and provide a novel approach to quantify the relative influence of human and environmental variables in shaping reef ecosystems. Our findings highlight the nuances of what underpins different coral reef regimes, the overwhelming importance of biophysical predictors and how a reef's natural setting may either expand or narrow the opportunity space for management interventions. The methods developed through this study can help inform reef practitioners and hold promises for replication across a broad range of ecosystems. © 2019 The Author(s)
AB - Coral reefs worldwide face unprecedented cumulative anthropogenic effects of interacting local human pressures, global climate change and distal social processes. Reefs are also bound by the natural biophysical environment within which they exist. In this context, a key challenge for effective management is understanding how anthropogenic and biophysical conditions interact to drive distinct coral reef configurations. Here, we use machine learning to conduct explanatory predictions on reef ecosystems defined by both fish and benthic communities. Drawing on the most spatially extensive dataset available across the Hawaiian archipelago-20 anthropogenic and biophysical predictors over 620 survey sites-we model the occurrence of four distinct reef regimes and provide a novel approach to quantify the relative influence of human and environmental variables in shaping reef ecosystems. Our findings highlight the nuances of what underpins different coral reef regimes, the overwhelming importance of biophysical predictors and how a reef's natural setting may either expand or narrow the opportunity space for management interventions. The methods developed through this study can help inform reef practitioners and hold promises for replication across a broad range of ecosystems. © 2019 The Author(s)
KW - Boosted regression trees
KW - Ecology
KW - Hawai'i
KW - Interactions
KW - Management
KW - Regime shift
KW - Anthozoa
U2 - 10.1098/rspb.2018.2544
DO - 10.1098/rspb.2018.2544
M3 - Journal article
VL - 286
JO - Proceedings of the Royal Society B: Biological Sciences
JF - Proceedings of the Royal Society B: Biological Sciences
SN - 0962-8452
IS - 1896
M1 - 20182544
ER -