Abstract
Coral reefs experienced the third global bleaching event in 2015–2016 due to high sea-surface temperature (SST) anomalies. Declines in net carbonate production associated with coral bleaching are implicated in reef structural collapse and cascading impacts for adjacent coral reef islands. We present the first carbonate budget study of a reef platform surface (reef crest and reef flat) in the southern Maldives and the first record of upper reef flat condition in the central Indian Ocean post the 2015–2016 coral bleaching event. Scleractinian corals were the primary carbonate producers, with live coral cover averaging between 11.1 ± 6.5 and 31.2 ± 21.8% and dominated by massive corals. Gross carbonate production rates averaged 5.9 ± 2.5 G (kg CaCO3 m2 yr−1). Bioerosion was estimated at 3.4 ± 0.4 G, resulting in an average net carbonate production rate of 2.5 ± 2.4 G. Comparison of results with a study of the fore-reef slope highlights major differences in post-bleaching carbonate budget state between the fore-reef slope and the reef platform surface. The positive reef flat carbonate budget is attributed to the persistence of massive corals (Porites spp. and Heliopora spp.) through the bleaching event.
Subject terms: Tropical ecology, Geomorphology
Introduction
Tropical coral reefs provide important biological functions and ecosystem goods and services, including dissipation of ocean wave energy, food and building resources, and income through tourism1–3. The ability of reefs to maintain these functions in the future is uncertain, as coral reefs globally face multiple natural stressors, such as tropical cyclones/hurricanes4 and changes in sea-surface temperature (SST)5, which threaten the health and building capacity of reef systems. These natural stressors are compounded by anthropogenic factors including global climate change and pollution6,7. Indeed, periods of elevated SST just 1–2 °C above average summer SSTs can lead to coral bleaching, whereby temperature stressed scleractinian (reef-building) corals expel their symbiotic algae (zooxanthellae) from their coral tissue8, leaving the corals with a bleached appearance, with only the aragonite skeleton visible through translucent tissue. Bleaching may lead to coral mortality and bleaching/mortality can occasionally be widespread globally, often referred to as a mass global bleaching event9,10. Reefs affected by coral bleaching can experience reduced live coral cover5, reduced reef rugosity and consequent decreases in reef biodiversity11, carbonate production and reef accretion12. The third recorded mass global bleaching event occurred in 2015–2016 when El Niño Southern Oscillation (ENSO)-induced warm SST anomalies caused extensive coral bleaching and mortality in tropical waters throughout the Indo-Pacific and the western Atlantic Ocean10,13,14. The 2015–2016 coral bleaching event has been associated with declines in reef ecosystem functionality, reef productivity and reef carbonate budgets15,16. In the southern Republic of Maldives, SST persisted above the regional bleaching threshold of ~30.9 degrees Celsius for around three months from late March to mid-May 201616, leading to significant declines in live coral cover on fore-reef slopes. Observed reduction in live coral cover resulted in a collapse in reef carbonate budget state, with calcium carbonate production on these Maldivian fore-reefs switching from net positive (pre-bleaching) to net negative (post-bleaching), ultimately resulting in an inferred negative reef accretionary status16.
Carbonate budgets are one measure of reef condition that reflects the net amount of calcium carbonate produced within a reef system, and balances the biological accretion and erosion processes operating on an individual reef17–19. The primary carbonate producers on coral reefs are corals, with calcifying algae (crustose coralline algae and Halimeda spp.) contributing to secondary carbonate production, alongside other calcifying organisms (such as foraminifera and molluscs) and abiotic/microbial cementation. Organisms contributing to bioerosion include endolithic micro- and macro-boring organisms, parrotfish and echinoderms. Temporal shifts in carbonate budget state can be used as an indicator of trends in reef health and provide extended insights into biological erosion20, reef framework production and reef accretion potential12,21,22, compared with standard ecological abundance surveys, which do not consider the effects of net carbonate production or removal23–25.
Understanding the effects of mass coral bleaching and mortality on reef carbonate budgets can also provide useful insights into a reef’s accretion potential under current and future sea-level rise scenarios12. The temporal dynamics of carbonate budgets can have broader implications for reef systems and adjacent landforms. For example, recent collapses in reef carbonate budgets observed in the southern Maldives following the 2016 bleaching event16 could have cascading impacts for the geomorphic maintenance and stability of adjacent low-lying reef sedimentary landforms (beaches and islands). In the short-term (seasons to years), impacts may include reef or island accretion due to elevated carbonate sediment production associated with increased physical and biological erosion of dead coral. Sediment produced may be supplied to islands or contained within the reef framework and cemented, thus contributing to accretion. However, additional sediment production may also be transported off the reef system. In the longer-term (decades to centuries) reef island stability may be compromised due to a reduction in coral growth and the reef’s capacity to provide a physical barrier to incident wave processes that modulate beach and island erosion. Impacts may be compounded under future scenarios of sea-level rise, promoting widespread erosion and frequent island overtopping12,26,27. Such outcomes are of global concern, given recent suggestions that many coral reefs will be unable to continue accreting vertically at a sufficient pace to keep up with rates of projected global sea-level rise12. However, there are multiple interacting factors that will contribute to future reef accretion rates, which remain poorly resolved. These factors include: hydrodynamics and the rate of sea-level rise; the contribution of reef flat carbonate production to overall reef accretion; sediment delivery, retention and removal28,29 (including storm deposits); biological reef-binding processes (crustose coralline algae); microbial cementation; algal rim accretion rates; the role of carbonate production on sand flats, patch reefs and seagrass meadows; and biochemical dissolution of carbonate framework and sediment30.
Despite their recognized importance, carbonate budgets have been estimated for few reefs globally, most of which are located in the Caribbean17–19,22,31,32. However, recent work in the past couple of decades has expanded the growing knowledge of reef carbonate budgets to the central Indian Ocean13,16,33–35 and elsewhere in the Indo-Pacific22,29,36,37. A recent global analysis of carbonate budget data12 indicates that net carbonate budgets of reefs in the Indo-Pacific and tropical western Atlantic are currently low and are sub-optimal for reef accretion potential. Despite the growing number of studies of reef carbonate budgets, the overwhelming majority of data are derived from fore-reef slopes between 2–10 m depth13,16,18,31,34,38, where conditions for data collection are optimal (i.e. high visibility, low wave energy). The contribution of the reef crest and reef platform surface (upper surface at ~0–1 m depth) carbonate producers to the overall reef budget is often not quantified, with few studies reporting reef flat carbonate budget rates22,36,37. This disparity in focus of studies is at odds with the fact that the reef crest and upper reef flat are critical environments when relating reef carbonate budgets to reef accretionary potential under sea-level rise and associated wave impacts at adjacent shorelines. The critical nature of these geomorphic sub-components rests on the importance of the reef crest and reef flat as the key wave energy dissipation zone on a reef1,39. Studies have shown that 94–98% of incident incoming wave energy is dissipated as waves interact with the reef edge and propagate across the reef flat1. Consequently, it is the residual energy from these interactions that controls the available energy to stimulate sediment deposition/removal at island shorelines40,41. Although the fore-reef slope environments play a key functional role in coral reef ecosystems, the potential for vertical reef accretion and the associated impact of theoretically higher water levels on reef flats under sea-level rise scenarios is largely dependent on carbonate production (coral growth and sediment production) and removal processes (including sediment losses, bioerosion and coral mortality) operating at the reef crest and upper reef flat. Furthermore, the reef crest and reef flat are critical components of the carbonate factory for sediment supply to reef islands42,43, while sediment produced on the fore-reef slope is largely exported from the reef sytem44,45.
Here we present the first ecological survey of a coral reef flat in the Indian Ocean following the 2015–2016 global mass bleaching event. We quantify the carbonate budget of Mahutigala reef platform, a low-energy, sub-tidal, lagoonal platform reef located in Huvadhoo Atoll, Maldives (0°17′22.77′′N, 73°12′1.88′′E, Fig. 1). Significantly, we present the gross carbonate production (by corals and coralline algae) and biological erosion to quantify the net carbonate production of the reef platform surface (G, where G = kg CaCO3 m2 yr−1). We examine reef flat-wide net biological carbonate production with high spatial coverage of observations and evaluate the effect of the 2016 warm SST anomaly event on the reef flat carbonate budget. We highlight the differential roles of coral genera and growth morphologies in the carbonate budget of the reef platform and discuss the important contribution of bleaching-resilient massive corals (such as Porites spp.) to the reef flat live coral assemblage following major stress events.
Figure 1.
(a) Location of Huvadhoo Atoll in the Republic of Maldives, (b) Location of Mahutigala reef within the lagoon of Huvadhoo Atoll, (c) Mahutigala reef platform (drone imagery taken in February 2017).
Results
Carbonate production
Five eco-geomorphological zones were differentiated on the Mahutigala reef surface based on 6,300 observations along seven radial transects around the reef platform. Zones were identified based on variations in substrate type including: sand and rubble cover, live and dead coral cover and coral morphology (Fig. 2). An inner sandy moat (zone 1) surrounding the vegetated island (extending 20–100 m seaward of the beach toe) is lower in elevation than outer reef zones (0.8–1.0 m below mean sea level (MSL)) and is characterized by a rippled medium-size sand. Occupying 20% of the platform surface, this sand zone contained no primary or major secondary carbonate producers (i.e. corals, CCA and calcifying macroalgae). Thus, the sandy moat (zone 1) is not considered in ecological analyses hereafter. A patch reef zone (zone 2) extending 20–90 m seaward of the sandy moat was characterized by isolated coral patches (comprising dead and living coral) that stand up to 1.5 m above a mixed sand and coral rubble substrate (occupying ~60–80% of zone 2). Representing the transition from the sandy moat to the inner reef flat, the patch reef zone grades into a narrow central reef flat (zone 3, 10–30 m wide), which is higher in elevation (~0.56 m below MSL). Zone 3 was characterized by an open framework of dead coral (~20–40% cover), dominated by branching and digitate growth morphologies, and live coral (~15–20% cover), predominantly of massive growth morphology, with remaining substrate comprising sand. The outer reef flat (comprising zones 4 and 5) extended a further 20–80 m seaward of the inner reef flat to the reef crest, at a slightly lower elevation (~0.6–0.9 m below MSL). These zones were characterized by a denser network of reef framework comprising dead coral (~30–50% cover) of branching, digitate and tabular morphologies, and living massive coral (~10–30% cover). Dead coral colonies were often covered in filamentous turf algae and/or crustose coralline algae, and this was characteristic of all eco-geomorphic zones where dead coral was recorded. Furthermore, macroalgae (e.g. Halimeda spp. and Peyssonnelia sp.) colonized areas of available substrate in the inner and outer reef zones. Peyssonnelia sp. was often found colonizing the available dead substrate and crevices of massive living coral colonies (Porites spp. and Heliopora spp. in particular).
Figure 2.
(a) Extent of eco-geomorphological zones with island and island vegetation mapped using a Trimble GPS. Zones 1–5 are estimated based on field surveys and extrapolated across the platform using drone imagery. Transects are shown in red and are labelled. Average live coral cover (%) is shown by the numbers in each zone for each transect. Representative photographs of the sandy moat/zone 1 (b), the patch reef zone/zone 2 (c), the central reef flat/zone 3 (d), the outer reef flat/zone 4 (e) and the outer reef flat/zone 5 (f) are shown.
Results of surveys conducted in September and October 2016 revealed that the live coral cover averaged for the entire Mahutigala reef flat was 17.9 ± 7.3% (mean, 1 standard deviation), ranging from 11.1 ± 6.5% at the W transect to 31.2 ± 21.8% at the E transect (Figs 2 and 3a). Typically, coral cover was highest in the northern to south-eastern sectors of the reef platform, where average live coral cover was 40.0%, 28.7% and 53.0% in the patch coral zone (zone 2) of the N, NE and E transects respectively, and 37.3% on the inner reef flat (zone 3) of the SE transect (Fig. 2). Massive corals (predominantly Porites spp., but also Goniopora spp., Platygyra spp., Goniastrea spp. and Favia spp.) were the dominant contributor to live coral cover, comprising 66.3% of all live coral recorded on the reef flat (Fig. 4). Branching corals (including Acropora spp. and Pocillopora sp.) and the Octocoral Heliopora coerulea comprised 13.0% and 12.6% of all reef flat live coral, respectively, with the remaining 8.1% comprised of small colonies of encrusting, digitate, free-living and tabular corals of varying genera (including Fungia spp., Montipora spp., Porites spp., Galaxea spp., among other unidentified genera) (Fig. 4).H. coerulea was most abundant on the SE transect, comprising 11.4% of all recorded live coral on the reef flat.
Figure 3.
Average live coral cover (a), reef flat rugosity index (b), gross carbonate production (c), total bioerosion (d), and net carbonate production (e) across Mahutigala reef flat. Error bars are one standard deviation. Average reef flat values are indicated alongside average fore-reef slope (2 m depth) values measured in January 2016 (blue) and September 2016 (orange) by Perry and Morgan16. Reef flat live coral cover data is estimated for January 2016 (indicated by ‘?’) based on unpublished data that was collected in February 2016 by postgraduate students from the University of Auckland.
Figure 4.
Coral growth morphologies as a proportion of the total average live coral cover recorded on the Mahutigala reef flat. Each transect (labelled) is shown by a different colour. Light grey shaded boxes represent estimated pre-bleaching average live coral cover recorded on the Mahutigala reef flat in February 2016 (unpublished data collected in February 2016 by postgraduate students from the University of Auckland).
Reef substrate rugosity was calculated as a measure of the three-dimensional structural complexity of the reef 36. The average reef rugosity coefficient across the carbonate-producing zones of Mahutigala reef flat (zones 2–5) was 2.6, with averages ranging from 1.9 at the NE and SE transects and 2.9 at the N transect (Fig. 3b). Structural complexity was highest on the south-west to northern portion of the reef platform (Fig. 3b). Considering the measured reef rugosity coefficient and specific coral calcification rates for particular coral growth morphologies (Supplementary Materials), gross carbonate production was estimated to average 5.9 ± 2.5 G on Mahutigala reef platform. The most productive areas of the reef surface were in the north, where gross carbonate production was calculated as 11.3 ± 5.1 G and east (7.8 ± 4.2 G). The least productive area was the southeastern sector of the platform, where gross carbonate production was 3.3 ± 2.1 G (Supplementary Materials).
Net carbonate budget
The total averaged biological erosion rate on the Mahutigala reef flat was estimated as 3.3 ± 0.4 G, with rates varying from 2.8 ± 0.7 to 3.9 ± 0.2 G across different radial transects (Fig. 3d). Parrotfish were the dominant contributors to biological erosion, contributing on average 94.1% of the total bioerosion rate (Supplementary Materials). Together, micro- and macro-borer erosion was estimated at 5.8% of the total bioerosion. Urchins (Diadema antillarum and Phyllocanthus imperialis) were uncommon across the reef platform (0.1 individual/m2 recorded on average). All observed D. antillarum were within the 21 to 40 mm test size range, while P. imperialis were all within the 81 to 100 mm test size range. On average, echinoderms contributed only 0.1% to bioerosion.
Net carbonate production thus averaged 2.5 ± 2.4 G across the Mahutigala reef platform surface. While the carbonate production state was positive, on average reef erosion and accretion were balanced, given the considerable spatial variation in net G values on the platform, ranging from a maximum of 7.3 ± 5.3 G in the north to a minimum of −0.9 ± 2.3 G (negative budget) at the SE transect (Fig. 5).
Figure 5.
Average net carbonate budget rates (G) in different eco-geomorphologic zones around Mahutigala reef flat shown by coloured circled. Red-shaded circles represent areas of net negative carbonate budget, while blue-shaded circles represent areas of net positive carbonate budget. The average net carbonate budget for each radial transect (labelled) is shown in white text at the seaward end of the transect.
Discussion
Our results present new insights of the effects of bleaching on the carbonate budget of a reef platform surface, expanding the limited number of budget studies in upper reef flat environments. Coral reefs experienced the third mass coral bleaching event in 2015–2016, causing significant declines in live coral cover, reef productivity and reef carbonate budgets in different regions10,14, including in the Maldives, Indian Ocean13,16. Existing reports of the impacts of this event are focused solely from observations of the shallow fore-reef (2–5 m depth). Upper reef platform surfaces (reef crest and reef flat) are often neglected in studies that explore reef carbonate budgets, despite the upper reef surface acting as the carbonate factory for islands, and arguably being more important than the fore-reef slope in acting as a dissipative barrier to incoming wave energy1 and thus exerting strong control on the wave energy that reaches adjacent shorelines. Thus, the effects of the 2015–2016 bleaching event on reef crest and reef flat carbonate production are essential to consider, particularly in light of recent suggestions that declines in reef productivity and carbonate budgets could lead to a reduction in reef accretion potential. This could exacerbate reef island wave overtopping and associated erosion due to enhanced wave access to shorelines and sea-level rise16 and also affect the sediment supply to island shorelines.
Results of ecological surveys conducted four months after the 2016 bleaching event in the southern Maldives showed the Mahutigala reef platform surface had an average live coral cover of 17.9 ± 7.3%. Erosion and accretion were essentially balanced at Mahutigala reef platform, where an average net positive carbonate budget of 2.5 ± 2.4 G was recorded (Fig. 3). Notably, the net carbonate budget was positive at most areas of the reef platform surveyed (Fig. 5), despite major collapse in the contribution of digitate (97% reduction), branching (75% reduction) and tabular corals (98% reduction) to the overall average reef surface live coral cover. The collapse of coral colonies occurred between January and September 2016 (Fig. 4) and was driven by bleaching associated coral mortality, as a direct consequence of the high SST anomaly event affecting the reef between March and May 201616. This inferred coral collapse is supported by field observations prior to the bleaching event and a recent study of several fore-reefs on lagoonal platforms in Huvadhoo Atoll (including the Mahutigala reef slope) that records a significant decline of 91% in branching and tabular Acropora spp. corals after the high SST anomaly event16. Despite high mortality of branching corals on the reef surface, observations indicate that the structural complexity of the reef platform surface remained comparable to pre-bleaching levels (Fig. 3b). However, reef structural complexity is likely to have declined since September 2016 and is expected to continue to decline over time due to a combination of physical and biological erosion of dead coral. Indeed, rugosity reductions have been recorded on the SW fore-reef slope at Mahutigala13, whereby rugosity underwent a statistically significant decline between January 2016 (rugosity index of 2.7) and March 2017 (rugosity index of 2.0). However, expected reductions in structural complexity on the reef platform surface may be of a reduced magnitude than declines recorded on the reef slope, due to the predominance of massive corals on the reef flat, with lower surface-area ratios compared to branching and digitate corals, which dominated the fore-reef environment prior to the bleaching event16.
The positive post-bleaching net carbonate budget (average of all radial transects) recorded for Mahutigala reef platform surface of 2.5 ± 2.4 G, is up to 180% greater than the negative post-bleaching carbonate budget recorded for the Mahutigala reef slope (2 m depth contour, −3.0 ± 0.4 G, Fig. 3) by Perry and Morgan16, who used a comparable line transect methodology. The high spatial coverage of the line intercept surveys (6,300 observations) used in this study across all orientations of the reef provides confidence to conclude that the majority of the Mahutigala upper reef platform is characterized by a positive carbonate budget. In contrast, Perry and Morgan’s16 survey was focused on only one sector of Mahutigala (the southwest) and interestingly, their recorded net negative G values are in accord with the nearby SE transect of the reef surface in this study, where net negative G (−0.9 ± 2.3 G) was also observed (Fig. 5). This was notably the lowest transect-averaged net G value of the entire reef flat. Whether Perry and Morgan’s16 negative carbonate budget reported for the southwest orientation of the reef slope is representative of the entire Mahutigala fore-reef slope or not remains unknown. To resolve this question, additional ecological census surveys on all sectors of the fore-reef slope would be required to determine net carbonate production.
Net G values recorded on the southeastern and southwestern portions of the reef platform surface (−0.9 ± 2.3 G and 1.6 ± 0.9 G, respectively) were notably higher than that of the southwestern fore-reef slope16 (−3.0 ± 0.4 G). The higher net G values on the reef upper surface are directly attributable to the higher live coral cover (up to 37.3% and 19.7%) at the southeastern and southwestern reef platform, respectively (Fig. 2), compared with up to 7.0% at the southwestern fore-reef slope16. Furthermore, we argue that the relative dominance of massive corals (largely Porites spp., Goniopora spp. and the Octocoral H. coerulea) to the overall reef platform surface live coral cover is crucial to maintaining a positive carbonate budget following the bleaching event. The massive corals displayed strong resilience to the high SST anomaly event and did not experience mass mortality due to coral bleaching. However, it remains unclear whether these massive colonies temporarily bleached and recovered, or did not bleach at all.
The northern and eastern sectors of the reef platform displayed the highest average net G values (7.3 ± 5.3 G and 3.9 ± 4.9 G at transects N and E, respectively, Fig. 5) and also contained the highest proportion of massive live coral cover (up to 14% of the entire reef flat live coral cover; Fig. 4). This finding may be related to exposure and the hydrodynamic regime around the reef island, promoting massive coral dominance in the northern and eastern sectors. Mahutigala reef is likely influenced by a combination of lagoonal wind-driven wave energy and residual ocean swell energy. The southeastern and north-northeastern sectors of the reef likely receive the greatest wave energy. Ocean swell typically propagates towards Huvadhoo Atoll from the south or southeast46 and can reach the southeastern sector of Mahutigala reef by penetrating through the reef rim passage located 11 km to the southeast of Mahutigala. The northern sector of Mahutigala has a 50 m lagoonal fetch that likely generates significant internal wind-driven waves that impact the reef. Consequently, we infer exposure and hydrodynamic setting as a potential reason for the discrepancy in net G and massive coral dominance around Mahutigala. This highlights an important research gap that could be the focus of future investigations.
The differential survival of coral genera on the reef platform surface, with massive corals persisting and high mortality of branching, digitate and tabular corals, has led to marked changes in the reef community composition and structure, comparable to observations in the Maldives25,47,48, Japan49 and French Polynesia50 after the 1998 global coral bleaching event. Branching corals are typically more susceptible to bleaching than massive corals11,51 (though this is not always the case; see52) and several hypotheses have been proposed for explaining this preferential resilience including: greater tissue thickness of massive corals providing protection for the symbiotic alga within the coral tissue; and greater opportunity for mass transfer of toxins that accumulate during bleaching in massive, flat colonies compared to branching colonies49,51. Despite the shift in reef platform coral composition that has occurred at Mahutigala, from branching/digitate dominance to massive dominance, the platform surface still boasts a positive net carbonate budget, which has important implications for considering reef accretion potential.
Carbonate budgets have been increasingly used to approximate reef accretion potential12,16 with recent studies suggesting that many coral reefs do not currently display vertical accretion rates sufficient to keep pace with projected rates of global sea-level rise12. However, the contribution of reef platform surface accretion is not considered in such studies, despite the reef flat acting as the critical geomorphic sub-component of a reef for wave energy dissipation1,40. Perry and Morgan16 identify a live coral cover threshold of around 12.0% for maintaining a net positive carbonate budget and a live coral cover threshold of around 8.0% for maintaining net positive reef accretion potential. Their threshold value for maintaining a net positive carbonate budget (12.0%) is comparable to that based on our data from Mahutigala reef flat of around 10.0% (Fig. 6). Thus, the threshold of 8.0% live coral cover for maintenance of net positive reef accretion potential can be considered suitable for the reef platform surface. Using this threshold value, the majority of Mahutigala reef surface is expected to maintain net positive accretion potential, despite high live coral mortality attributed to the 2016 bleaching event (Fig. 2). Provided a net positive accretion potential is maintained, the reef surface should continue to provide an effective buffer to incoming wave energy reaching the reef island shoreline and sea-level rise, contrary to suggestions based on data from Mahutigala fore-reef slope16. However, this will be highly dependent on many interacting and poorly understood factors and/or uncertainties that are beyond the aims of this study and require further research, including: future relative rates of reef accretion and sea-level rise; rates of carbonate sediment production, supply and incorporation into or removal from the reef structure in different geomorphic environments (e.g. fore-reef slope, upper reef flat, sand moat and lagoonal flats); the morphologic response of the reef island to future sea-level rise and associated changes in hydrodynamic regimes; and the impacts of various anthropogenic activities on these natural processes.
Figure 6.
Relationship between live coral cover and net carbonate production (G) at Mahutigala. The linear regression is shown by the black line, with the 95% confidence interval (grey lines).
Our results show that carbonate production and thus reef accretion potential of the reef platform surface is different to the shallow fore-reef slope. Recognition of differential carbonate budget states between the fore-reef and platform surface has implications for future development of the entire reef platform and how carbonate budget studies should be interpreted. Firstly, differential accretion potential may lead to increased steepening of the platform structure. Secondly, caution must be exercised in extrapolating budget studies from discrete fore-reef zones to entire reef platform structures where spatial differences in coral cover and coral growth morphology exist. Finally, recovery of the branching and digitate corals will govern the timeframe in which spatial disparities in carbonate budget states persist. Reef ecosystem functionality will also be influenced by recovery of branching and digitate corals, as they are rapid regenerators, act as reef rugosity enhancers and provide shelter for reef organisms53, ultimately increasing reef biodiversity. At Mahutigala branching and digitate corals together comprised 14.5% of the total reef flat live coral composition in September 2016 (Fig. 4). Visual observations confirmed that the majority of branching and digitate live corals on the reef surface were juveniles and this indicates that the ability for recruitment and regeneration of branching and digitate corals did exist in September 2016. Further visual observations of Mahutigala reef flat by authors E.R. and P.K. in February 2017 and 2019 suggest that branching coral recruit abundance had increased since September 2016, indicating that the case for reef recovery may be positive. However, further data are needed and reef recovery will also depend on the timeframe of recurring stress events, including future coral bleaching, with respect to the timeframe of recovery. We anticipate recovery could take up to a decade based on coral recovery timeframes post the 1998 coral bleaching event in the central Maldives archipelago25 and assuming no major stress events during that timeframe. Moreover, if predictions of future increases in the return-period of mass coral bleaching events10,54 become reality, the recovery of branching and digitate corals at Mahutigala would be significantly hampered, and may result in fundamental ecological phase shifts. Without recovery of these corals, reefs may transform into a persistent massive coral dominated state. The impact of such a phase shift on the future reef carbonate budget and accretionary potential is unknown, although this study has shown that a positive biological carbonate budget can be maintained despite the loss of branching and digitate corals.
Methods
Gross carbonate budget
Ecological surveys were conducted at Mahutigala reef (0°17′22.77′′N, 73°12′1.88′′E, Fig. 1), Huvadhoo Atoll, southern Maldives, in September and October 2016, following the south-west monsoon. The Mahutigala reef platform is approximately 0.13 km2 in area, containing a 0.004 km2 vegetated island (elevated 1.5–2.0 m above mean sea level), surrounded by an island beach, lagoon and elliptical shaped reef platform. Reef flat eco-geomorphological zones were visually differentiated across seven shore-perpendicular radial transect lines (SW, W, NW, N, NE, E, SE, Fig. 1), according to variations in geomorphology, substrate and live coral cover. To quantify reef flat benthic composition, ecological surveys were undertaken within each eco-geomorphic zone along the seven radial transects using a modified version of the ReefBudget18 methodology. Three replicate 10 m survey lines were randomly established using a flexible tape measure fixed to the substrate in each of the eco-geomorphic zones across each radial transect line. A total of 63 10 m lines were surveyed (equating to 6300 observations). To characterize benthic cover, observations were made at 10 cm intervals along the 10 m survey lines (100 observations per survey line) using the Point Intercept Transect method33,55, whereby the nature of the benthic cover directly below the tape measure at each 10 cm increment was recorded (e.g. substrate, primary/secondary carbonate producers, algae, reef framework, dead coral). Scleractinian corals were recorded to growth morphology (massive, branching, tabular, digitate, encrusting and free-living) and genus level where feasible. Pre-bleaching average coral cover (%) is estimated based on unpublished data collected by postgraduate students from the University of Auckland in February 2016. Coral cover data were collected using the same Point Intercept Transect method, where observations of substrate cover were made at 10 cm intervals. Substrate rugosity was quantified along three randomly selected 1 m sections of each 10 m survey line using the chaining technique, whereby the total substrate surface length is divided by 1 m linear length of chain36. The three rugosity values were averaged to determine a rugosity coefficient (R) for each 10 m survey line. Gross carbonate production rates (G, or kg CaCO3 m−2 yr−1) for corals and coralline algae were estimated for each 10 m survey line using genera and coral morphology specific skeletal density and linear growth rates (Supplementary Materials) using the following equation after33 and18:
| 1 |
where Xi is the mean percent cover of the ith genera. The calcification rate (Ci) of the ith genera was estimated in g cm−2 y−1 from mean published coral and coralline algae Ci rates from the Maldives (with two exceptions from the Indo-Pacific; see Supplementary Materials).
Net carbonate budget
Biological erosion rates were conservatively estimated using a combination of published data and in situ surveys. To quantify macro- and micro-borer erosion rates (G, kg m−2 yr−1) by endolithic organisms, regional Indo-Pacific published rates were used (0.052 G for macro-borer erosion and 0.053 G for micro-borer erosion after33,56 and applied to all available reef substrate (live coral, reef framework, dead coral and rubble) using equation:
| 2 |
To calculate bioerosion by parrotfish (G) we used published rates16 based on belt transect surveys conducted at the Mahutigala fore-reef slope (2 m depth) in September 2016. Perry and Morgan16 estimated parrotfish bioerosion at Mahutigala as 3.81 ± 4.17 G and this rate was applied to all available substrate at Mahutigala reef flat. Uncertainties must be considered around using this published parrotfish erosion rate for the fore-reef slope and applying it to available substrate at Mahutigala reef flat. These uncertainties include disparities in parrotfish abundance, species and size class on the fore-reef slope compared with the reef flat, associated variability in bioerosion rates by fish of different species and size classes57, and unknown spatial differences in parrotfish abundance or potential feeding location preferences on the Mahutigala reef flat.
Echinoid bioerosion rates were quantified within each of the productive eco-geomorphic zones on transects SW, NW, NE and SE at Mahutigala reef flat along two replicate 30 m-long by 2 m-wide belt transects. Urchin abundance and genera were recorded along the belt transects. Echinoid bioerosion rates (G) for Diadema spp. and Phyllocanthus spp. were calculated as a function of urchin genera and size, following18 using the equations:
| 3 |
| 4 |
where X is the average echinoid test size (mm) and e is the echinoid density in the 30 m2 belt transect. The average echinoid test size (mm) was 30 mm and 90 mm for Diadema spp. and Phyllocanthus spp., respectively. Macro- and micro-borer, parrotfish, and echinoid bioerosion rates were all extrapolated to the available reef substrate for erosion at Mahutigala and summed to provide an estimate rate (G) for total annual bioerosion. Net carbonate production rates (G) were determined by subtracting total bioerosion from gross production.
Supplementary information
Acknowledgements
The authors wish to thank the LaMer Small Island Research Centre at Faares-Mathooda, Huvadhoo Atoll, for field assistance. Funding for this research was received from the School of Environment, the University of Auckland. The authors wish to thank Eddie Beetham for assisting with collection of the drone imagery used in Figures 1 and 5.
Author Contributions
P.K. conceived the project. All authors were responsible for project design and data collection, and K.H. and E.R. completed data analysis and interpretation with assistance from P.K. E.R. wrote the first draft of the manuscript and P.K. contributed to editing the manuscript. Funding was provided by P.K.
Competing Interests
The authors declare no competing interests.
Footnotes
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Supplementary information accompanies this paper at 10.1038/s41598-019-42985-2.
References
- 1.Ferrario F, et al. The effectiveness of coral reefs for coastal hazard risk reduction and adaptation. Nat. Commun. 2014;5:1–9. doi: 10.1038/ncomms4794. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Rogers Caroline S. The effect of shading on coral reef structure and function. Journal of Experimental Marine Biology and Ecology. 1979;41(3):269–288. doi: 10.1016/0022-0981(79)90136-9. [DOI] [Google Scholar]
- 3.Moberg F, Folke C. Ecological goods and services of coral reef ecosystems. Ecol. Econ. 1999;29:215–233. doi: 10.1016/S0921-8009(99)00009-9. [DOI] [Google Scholar]
- 4.Done TJ. Effects of tropical cyclone waves on ecological and geomorphological structures on the Great Barrier Reef. Cont. Shelf Res. 1992;12:859–872. doi: 10.1016/0278-4343(92)90048-O. [DOI] [Google Scholar]
- 5.Glynn PW. Widespread coral mortality and the 1982–83 El Niño warming event. Environ. Conserv. 1984;11:133. doi: 10.1017/S0376892900013825. [DOI] [Google Scholar]
- 6.Veron JEN, et al. The coral reef crisis: The critical importance of <350 ppm CO2. Mar. Pollut. Bull. 2009;58:1428–1436. doi: 10.1016/j.marpolbul.2009.09.009. [DOI] [PubMed] [Google Scholar]
- 7.Hoegh-Guldberg O, Poloczanska ES, Skirving W, Dove S. Coral reef ecosystems under climate change and ocean acidification. Front. Mar. Sci. 2017;4:1–20. [Google Scholar]
- 8.Brown BE. Coral bleaching: causes and consequences. Coral Reefs. 1997;16:S129–S138. doi: 10.1007/s003380050249. [DOI] [Google Scholar]
- 9.De’ath G, Fabricius KE, Sweatman H, Puotinen M. The 27-year decline of coral cover on the Great Barrier Reef and its causes. Proc. Natl. Acad. Sci. USA. 2012;109:1–5. doi: 10.1073/iti0112109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Hughes TP, et al. Spatial and temporal patterns of mass bleaching of corals in the Anthropocene. Science (80-.). 2018;5:80–83. doi: 10.1126/science.aan8048. [DOI] [PubMed] [Google Scholar]
- 11.Baker AC, Glynn PW, Riegl B. Climate change and coral reef bleaching: An ecological assessment of long-term impacts, recovery trends and future outlook. Estuar. Coast. Shelf Sci. 2008;80:435–471. doi: 10.1016/j.ecss.2008.09.003. [DOI] [Google Scholar]
- 12.Perry CT, et al. Loss of coral reef growth capacity to track future increases in sea level. Nature. 2018;558:396–400. doi: 10.1038/s41586-018-0194-z. [DOI] [PubMed] [Google Scholar]
- 13.Perry CT, Morgan KM. Post-bleaching coral community change on southern Maldivian reefs: is there potential for rapid recovery? Coral Reefs. 2017;36:1189–1194. doi: 10.1007/s00338-017-1610-9. [DOI] [Google Scholar]
- 14.Hughes TP, et al. Global warming and recurrent mass bleaching of corals. Nature. 2017;543:373–377. doi: 10.1038/nature21707. [DOI] [PubMed] [Google Scholar]
- 15.Hughes TP, et al. Coral reefs in the Anthropocene. Nature. 2017;546:82–90. doi: 10.1038/nature22901. [DOI] [PubMed] [Google Scholar]
- 16.Perry CT, Morgan KM. Bleaching drives collapse in reef carbonate budgets and reef growth potential on southern Maldives reefs. Sci. Rep. 2017;7:40581. doi: 10.1038/srep40581. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Hubbard DK, Miller AI, Scaturo D. Production and cycling of calcium carbonate in a shelf-edge reef system (St. Croix, U.S. Virgin Islands): Applications to the nature of reef systems in the fossil record. J. Sediment. Petrol. 1990;60:335–360. [Google Scholar]
- 18.Perry CT, et al. Estimating rates of biologically driven coral reef framework production and erosion: a new census-based carbonate budget methodology and applications to the reefs of Bonaire. Coral Reefs. 2012;31:853–868. doi: 10.1007/s00338-012-0901-4. [DOI] [Google Scholar]
- 19.Stearn CW, Scoffin TP, Martindale W. Calcium carbonate budget of a fringing reef on the west coast of Barbados: Part I—Zonation and Productivity. Bull. Mar. Sci. 1977;27:479–510. [Google Scholar]
- 20.Morgan KM, Kench PS. Parrotfish erosion underpins reef growth, sand talus development and island building in the Maldives. Sediment. Geol. 2016;341:50–57. doi: 10.1016/j.sedgeo.2016.05.011. [DOI] [Google Scholar]
- 21.Chave KE, Smith SV, Roy KJ. Carbonate production by coral reefs. Mar. Geol. 1972;12:123–140. doi: 10.1016/0025-3227(72)90024-2. [DOI] [Google Scholar]
- 22.Eakin CM. Where have all the carbonates gone? A model comparison of calcium carbonate budgets before and after the 1982–1983 El Nino at Uva Island in the eastern Pacific. Coral Reefs. 1996;15:109–119. [Google Scholar]
- 23.Done TJ. Patterns in the distribution of coral communities across the central Great Barrier Reef. Coral Reefs. 1982;1:95–107. doi: 10.1007/BF00301691. [DOI] [Google Scholar]
- 24.DeVantier LM, De’ath G, Turak E, Done TJ, Fabricius KE. Species richness and community structure of reef-building corals on the nearshore Great Barrier Reef. Coral Reefs. 2006;25:329–340. doi: 10.1007/s00338-006-0115-8. [DOI] [Google Scholar]
- 25.Pisapia C, et al. Coral recovery in the central Maldives archipelago since the last major mass-bleaching, in 1998. Sci. Rep. 2016;6:34720. doi: 10.1038/srep34720. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Storlazzi CD, et al. Most atolls will be uninhabitable by the mid-21st century because of sea-level rise exacerbating wave-driven flooding. Sci. Adv. 2018;4:1–10. doi: 10.1126/sciadv.aap9741. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Beetham E, Kench PS, Popinet S. Future reef growth can mitigate physical impacts of sea-level rise on atoll islands. Earth’s Futur. 2017;5:1002–1014. doi: 10.1002/2017EF000589. [DOI] [Google Scholar]
- 28.Perry CT, Morgan KM, Salter MA. Sediment generation by Halimeda on atoll interior coral reefs of the southern Maldives: A census-based approach for estimating carbonate production by calcareous green algae. Sediment. Geol. 2016;346:17–24. doi: 10.1016/j.sedgeo.2016.10.005. [DOI] [Google Scholar]
- 29.Harney JN, Fletcher CH. A budget of carbonate framework and sediment production, Kailua Bay, Oahu, Hawaii. J. Sediment. Res. 2003;73:856–868. doi: 10.1306/051503730856. [DOI] [Google Scholar]
- 30.Eyre BD, Andersson AJ, Cyronak T. Benthic coral reef calcium carbonate dissolution in an acidifying ocean. Nat. Clim. Chang. 2014;4:969–976. doi: 10.1038/nclimate2380. [DOI] [Google Scholar]
- 31.Perry CT, et al. Caribbean-wide decline in carbonate production threatens coral reef growth. Nat. Commun. 2013;4:1402. doi: 10.1038/ncomms2409. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Perry CT, et al. Regional-scale dominance of non-framework building corals on Caribbean reefs affects carbonate production and future reef growth. Glob. Chang. Biol. 2015;21:1153–1164. doi: 10.1111/gcb.12792. [DOI] [PubMed] [Google Scholar]
- 33.Morgan, K. A calcium carbonate budget of a Maldivian reef platform. (The University of Auckland, 2014).
- 34.Perry CT, et al. Remote coral reefs can sustain high growth potential and may match future sea-level trends. Sci. Rep. 2015;5:18289. doi: 10.1038/srep18289. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Perry CT, Morgan KM, Yarlett RT. Reef habitat type and spatial extent as interacting controls on platform-scale carbonate budgets. Front. Mar. Sci. 2017;4:185. doi: 10.3389/fmars.2017.00185. [DOI] [Google Scholar]
- 36.Hart DE, Kench PS. Carbonate production of an emergent reef platform, Warraber Island, Torres Strait, Australia. Coral Reefs. 2007;26:53–68. doi: 10.1007/s00338-006-0168-8. [DOI] [Google Scholar]
- 37.Hamylton SM, et al. Estimating regional coral reef calcium carbonate production from remotely sensed seafloor maps. Remote Sens. Environ. 2017;201:88–98. doi: 10.1016/j.rse.2017.08.034. [DOI] [Google Scholar]
- 38.Kennedy EV, et al. Avoiding coral reef functional collapse requires local and global action. Curr. Biol. 2013;23:912–918. doi: 10.1016/j.cub.2013.04.020. [DOI] [PubMed] [Google Scholar]
- 39.Harris DL, et al. Coral reef structural complexity provides important coastal protection from waves under rising sea levels. Sci. Adv. 2018;ACCEPTED:1–8. doi: 10.1126/sciadv.aao4350. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Beetham E, Kench PS, O’Callaghan J, Popinet S. Wave transformation and shoreline water level on Funafuti Atoll, Tuvalu. J. Geophys. Res. Ocean. 2016;121:311–326. doi: 10.1002/2015JC011246. [DOI] [Google Scholar]
- 41.Harris DL, Power HE, Kinsela MA, Webster JM, Vila-Concejo A. Variability of depth-limited waves in coral reef surf zones. Estuar. Coast. Shelf Sci. 2018;211:36–44. doi: 10.1016/j.ecss.2018.06.010. [DOI] [Google Scholar]
- 42.Yamano H, Miyajima T, Koike I. Importance of foraminifera for the formation and maintenance of a coral sand cay: Green Island, Australia. Coral Reefs. 2000;19:51–58. doi: 10.1007/s003380050226. [DOI] [Google Scholar]
- 43.Perry CT, Kench PS, O’Leary MJ, Morgan KM, Januchowski-Hartley F. Linking reef ecology to island building: Parrotfish identified as major producers of island-building sediment in the Maldives. Geology. 2015;43:503–506. doi: 10.1130/G36623.1. [DOI] [Google Scholar]
- 44.Hughes T.P. Off-reef transport of coral fragments at Lizard Island, Australia. Marine Geology. 1999;157(1-2):1–6. doi: 10.1016/S0025-3227(98)00187-X. [DOI] [Google Scholar]
- 45.Morgan KM, Kench PS. A detrital sediment budget of a Maldivian reef platform. Geomorphology. 2014;222:122–131. doi: 10.1016/j.geomorph.2014.02.013. [DOI] [Google Scholar]
- 46.Aslam M, Kench PS. Reef island dynamics and mechanisms of change in Huvadhoo Atoll, Republic of Maldives, Indian Ocean. Anthropocene. 2017;18:57–68. doi: 10.1016/j.ancene.2017.05.003. [DOI] [Google Scholar]
- 47.Edwards AJ, et al. Coral bleaching and mortality on artificial and natural reefs in Maldives in 1998, sea surface temperature anomalies and initial recovery. Mar. Pollut. Bull. 2001;42:7–15. doi: 10.1016/S0025-326X(00)00200-9. [DOI] [PubMed] [Google Scholar]
- 48.Bianchi CN, et al. Dynamics and pattern of coral recolonization following the 1998 bleaching event in the reefs of the Maldives. Proc. 10th Int. Coral Reef Symp. 2006;1:30–37. [Google Scholar]
- 49.Loya Y. Coral bleaching: the winners and the losers. Ecol. Lett. 2001;4:122–131. doi: 10.1046/j.1461-0248.2001.00203.x. [DOI] [Google Scholar]
- 50.Pratchett MS, McCowan D, Maynard JA, Heron SF. Changes in bleaching susceptibility among corals subject to ocean warming and recurrent bleaching in Moorea, French Polynesia. PLoS One. 2013;8:1–10. doi: 10.1371/journal.pone.0070443. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Roche RC, Williams GJ, Turner JR. Towards developing a mechanistic understanding of coral reef resilience to thermal stress across multiple scales. Curr. Clim. Chang. Reports. 2018;4:51–64. doi: 10.1007/s40641-018-0087-0. [DOI] [Google Scholar]
- 52.Guest JR, et al. Contrasting patterns of coral bleaching susceptibility in 2010 suggest an adaptive response to thermal stress. PLoS One. 2012;7:1–8. doi: 10.1371/journal.pone.0033353. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Emslie MJ, Cheal AJ, Sweatman H, Delean S. Recovery from disturbance of coral and reef fish communities on the Great Barrier Reef, Australia. Marine Ecology Progress Series. 2008;371:177–190. doi: 10.3354/meps07657. [DOI] [Google Scholar]
- 54.Heron SF, Maynard JA, van Hooidonk R, Eakin CM. Warming trends and bleaching stress of the world’s coral reefs 1985–2012. Sci. Rep. 2016;6:38402. doi: 10.1038/srep38402. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Carlton JH, Done TJ. Quantitative video sampling of coral reef benthos: large-scale application. Coral Reefs. 1995;14:35–46. doi: 10.1007/BF00304070. [DOI] [Google Scholar]
- 56.Chazottes V, Le Campion Alsumard T, Peyrot-Clausade M, Cuet P. The effects of eutrophication-related alterations to coral reef communities on agents and rates of bioerosion (Reunion Island, Indian Ocean) Coral Reefs. 2002;21:375–390. [Google Scholar]
- 57.Yarlett RT, Perry CT, Wilson RW, Philpot KE. Constraining species-size class variability in rates of parrotfish bioerosion on Maldivian coral reefs: Implications for regional-scale bioerosion estimates. Mar. Ecol. Prog. Ser. 2018;590:155–169. doi: 10.3354/meps12480. [DOI] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.






