Search: onr:"swepub:oai:DiVA.org:su-159607" >
Identifying multipl...
Identifying multiple coral reef regimes and their drivers across the Hawaiian archipelago
-
- Jouffray, Jean-Baptiste (author)
- Stockholms universitet,Stockholm Resilience Centre,Royal Swedish Academy of Sciences, Sweden
-
- Nyström, Magnus (author)
- Stockholms universitet,Stockholm Resilience Centre
-
- Norström, Albert V. (author)
- Stockholms universitet,Stockholm Resilience Centre
-
show more...
-
Williams, Ivor D. (author)
-
Wedding, Lisa M. (author)
-
Kittinger, John N. (author)
-
Williams, Gareth J. (author)
-
show less...
-
(creator_code:org_t)
- 2015-01-05
- 2015
- English.
-
In: Philosophical Transactions of the Royal Society of London. Biological Sciences. - : The Royal Society. - 0962-8436 .- 1471-2970. ; 370:1659
- Related links:
-
https://royalsociety...
-
show more...
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
show less...
Abstract
Subject headings
Close
- Loss of coral reef resilience can lead to dramatic changes in benthic structure, often called regime shifts, which significantly alter ecosystem processes and functioning. In the face of global change and increasing direct human impacts, there is an urgent need to anticipate and prevent undesirable regime shifts and, conversely, to reverse shifts in already degraded reef systems. Such challenges require a better understanding of the human and natural drivers that support or undermine different reef regimes. The Hawaiian archipelago extends across a wide gradient of natural and anthropogenic conditions and provides us a unique opportunity to investigate the relationships between multiple reef regimes, their dynamics and potential drivers. We applied a combination of exploratory ordination methods and inferential statistics to one of the most comprehensive coral reef datasets available in order to detect, visualize and define potential multiple ecosystem regimes. This study demonstrates the existence of three distinct reef regimes dominated by hard corals, turf algae or macroalgae. Results from boosted regression trees show nonlinear patterns among predictors that help to explain the occurrence of these regimes, and highlight herbivore biomass as the key driver in addition to effluent, latitude and depth.
Subject headings
- NATURVETENSKAP -- Biologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences (hsv//eng)
Keyword
- boosted regression trees
- coral reefs
- disturbance
- Hawaii
- multiple regimes
- resilience
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
To the university's database