Coral growth on three reefs: development of recovery benchmarks using a space for time approach

Done, Terry; DeVantier, Lyndon; Turak, Emre; Fisk, David; Wakeford, Mary; Woesik, Robert van

doi:10.1007/s00338-010-0637-y

Cited by 56 publications

(41 citation statements)

References 54 publications

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“…We also compared the growth rates of corymbose Acropora at Sesoko Island with its growth rates at the same depth from reefs in the central Great Barrier Reef (Done et al 2010). In both cases, we used a logistic growth model to predict the change in the mean colony diameter through time (d t ) using the equation:…”

Section: Methodsmentioning

confidence: 99%

“…The rate and degree of Acropora recovery also depend on the density of nearby adult colonies (Hughes et al 2000). On the Great Barrier Reef, for example, Done et al (2010) contended that the dense aggregation of reefs, well connected oceanographically to a source of adult Acropora populations, facilitated rapid Acropora recovery following Acanthaster planci disturbance. The genus Acropora, however, is comprised of over 100 species.…”

Section: Short-term Losers But Long-term Winnersmentioning

confidence: 99%

“…However, the interactions between (Done et al 2010). Asterisks indicate data from the Great Barrier Reef.…”

Section: Short-term Winnersmentioning

confidence: 99%

See 2 more Smart Citations

Revisiting the winners and the losers a decade after coral bleaching

Woesik

Sakai²,

Ganase³

et al. 2011

Mar. Ecol. Prog. Ser.

396

311

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Over the past 3 decades, thermal stress events have damaged corals globally. Few studies, however, have tracked the recovery process or assessed whether winners in the short term are also winners in the long term. In the present study, we repeatedly sampled a coral assemblage over a 14 yr period, from 1997 to 2010, through 2 thermal stress events (in 1998 and 2001). Our goal was to examine the consistency of short-term winner and loser outcomes over the recovery period. Although species richness had recovered after 10 yr, the reef composition had changed, and few pocilloporids were to be found. The short-term winners were the thermally tolerant encrusting and massive coral morphologies (Porites and faviids) and Acropora colonies < 5 cm in diameter. Long-term winners were revealed as (1) thermally tolerant, locally persistent colonies, (2) remnant survivors that rapidly regrew, and (3) regionally persistent colonies that recruited. KEY WORDS: Coral bleaching · Climate adaptation · Temperature · Reefs · RecoveryResale or republication not permitted without written consent of the publisher Mar Ecol Prog Ser 434: 67-76, 2011 enced anomalous temperatures only every 50 to 60 yr (Thompson & van Woesik 2009). For example, the southern islands of Japan, the Great Barrier Reef and Micronesia all historically show low-frequency return periods (~50 yr), whereas the Galapagos Islands and Kiribati historically show high-frequency return periods (~5 yr) (Thompson & van Woesik 2009). Not only are contemporary worldwide patterns in thermal anomalies similar to those in the past, but the localities that have shown high-frequency return periods in the past few centuries have also recently experienced the most severe thermal stress (Thompson & van Woesik 2009). If these patterns persist into the near future, then some localities will receive both more intensive and more frequent thermal stress than other localities.Short-term studies suggest that some coral species are destined to become the 'winners', whereas others are destined to become the 'losers' (Loya et al. 2001). However, simply tolerating local thermal stress is not the only viable life-history strategy to persist through time. Ephemeral assemblages that are usually susceptible to local stress also survive regionally by being highly fecund and growing quickly (MacArthur & Wilson 1967, Loya 1976, Gates & Edmunds 1999. Regional persistence also depends on (1) the local survival of small fragments, which have an inherent capacity for regrowth, (2) whether corals on neighboring reefs survived through the thermal stress, (3) whether those neighboring corals have the capacity to supply recruits, (4) the survival of recruits from neighboring reefs, and (5) the return frequency and intensity of the thermal stresses.Few studies have examined the longterm recovery of coral assemblages following thermal stress. Here, we ask whether a winning species in the short term is also a winner in the long term. Previously we reported on the shortterm effects of a severe thermal s...

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Section: Methodsmentioning

confidence: 99%

Section: Short-term Losers But Long-term Winnersmentioning

confidence: 99%

See 1 more Smart Citation

Revisiting the winners and the losers a decade after coral bleaching

Woesik

Sakai²,

Ganase³

et al. 2011

Mar. Ecol. Prog. Ser.

396

311

View full text Add to dashboard Cite

show abstract

“…The poor ability to map "coral diversity" was slightly surprising, given known relationships between coral species and generic richness with depth, exposure to waves and reef habitat type [91][92][93], all of which we are able to map for our study area. The low predictability could possibly be attributed to the mismatch between large field sampling areas that cover a broad range of structural complexity and fine-scale pixel-based measures of structural complexity, which did not contribute substantially to the model results.…”

Section: Model Performance By Indicatormentioning

confidence: 93%

“…However, the use of somewhat generic predictors easy to derive from high spatial resolution satellite data ignores known relationships, such as the influence of past disturbance history on live coral cover, coral diversity and recruitment rate [92,[99][100][101], the influence of ocean and tidal currents and source populations on coral recruitment and, hence, juvenile coral density [41,88] and the influence of exposure to waves on coral diversity, morphology and thermal stress tolerance [91,102].…”

Section: Derivation Of Environmental Predictorsmentioning

confidence: 99%

Mapping Coral Reef Resilience Indicators Using Field and Remotely Sensed Data

et al. 2013

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Abstract:In the face of increasing climate-related impacts on coral reefs, the integration of ecosystem resilience into marine conservation planning has become a priority. One strategy, including resilient areas in marine protected area (MPA) networks, relies on information on the spatial distribution of resilience. We assess the ability to model and map six indicators of coral reef resilience-stress-tolerant coral taxa, coral generic diversity, fish herbivore biomass, fish herbivore functional group richness, density of juvenile corals and the cover of live coral and crustose coralline algae. We use high spatial resolution satellite data to derive environmental predictors and use these in random forest models, with field observations, to predict resilience indicator values at unsampled locations. Predictions are compared with those obtained from universal kriging and from a baseline model. Prediction errors are estimated using cross-validation, and the ability to map each resilience indicator is quantified as the percentage reduction in prediction error compared to the baseline model. Results are most promising (percentage reduction = 18.3%) for mapping the cover of live coral and crustose coralline algae and least promising (percentage reduction = 0%) for coral diversity. Our study has demonstrated one approach to map indicators of coral reef resilience. In the context of MPA network planning, the potential to consider reef resilience in addition to habitat and feature representation in decision-support software now exists, allowing planners

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Reef quality criteria for marine reserve selection: an example from eastern Brazil

Cruz

Kikuchi

Leão

et al. 2013

Aquatic Conservation

Self Cite

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ABSTRACT1. A novel protocol was developed for ecological prioritization of coral reefs for inclusion in a marine reserve network. Standard benthic survey data were normalized and combined in a conservation priority index (CPI) which rates individual candidate sites according to their ecological values and their potential contributions to an effective network.2. The CPI differentiates between sites on the basis of strength or weakness of surrogates for desirable attributes such as benthic biodiversity, reef-building capacity and hard-coral resilience.3. Biodiversity and reef-building attributes (more is better) were assigned progressive weightings (high abundance, high score), whereas neutral or detrimental attributes (less is better) were assigned regressive weightings (high abundance, low score).4. Abundance of small corals (new recruits and remnants) was included as an indicator of a site's potential for recovery following disturbance.5. The CPI rankings were used in conjunction with multidimensional scaling to prioritize candidate sites for a proposed reserve network near Salvador, Brazil. The information is complementary to considerations of existing uses and socio-economic considerations, in the prioritization of reefs for protection.6. The approach ensured that ecological inputs to the broader marine spatial planning process embraced both representativeness of biodiversity per se and the investigator's evaluation of key qualitative site attributes (amount, size, and resilience indicators for the critical architectural components hard coral and encrusting coralline algae).

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Coral growth on three reefs: development of recovery benchmarks using a space for time approach

Cited by 56 publications

References 54 publications

Revisiting the winners and the losers a decade after coral bleaching

Revisiting the winners and the losers a decade after coral bleaching

Mapping Coral Reef Resilience Indicators Using Field and Remotely Sensed Data

Reef quality criteria for marine reserve selection: an example from eastern Brazil

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