The Coral Reefs of Eilat — Past, Present and Future: Three Decades of Coral Community Structure Studies

Loya, Yossi

doi:10.1007/978-3-662-06414-6_1

Cited by 98 publications

(117 citation statements)

References 94 publications

(121 reference statements)

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“…We found relative stability in recruitment/mortality rates with high survival rates at the two surveyed sites (Figure 6). The coral reefs in the Gulf of Aqaba have been reported in decline and at risk of collapse, due to both local and global stressors (Glassom et al, 2004(Glassom et al, , 2006Loya, 2004;. Nevertheless, our results are in line with a recent study (Shlesinger and Loya, 2016) which suggested that the reefs in Eilat (Gulf of Aqaba) are recovering.…”

Section: Discussionsupporting

confidence: 90%

In situ Analysis of Coral Recruits Using Fluorescence Imaging

et al. 2017

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Recruitment is a fundamental process that influences coral population dynamics as well as reef community structure. To date, coral recruitment success rates are poorly quantified because survey methods are labor-intensive and require manual interpretation. Thus, they are prone to human errors and have low repeatability-a gap we aim to bridge in this research. Since both corals and their symbiotic algae contain fluorescent pigments (chlorophyll and fluorescent proteins), we used the non-invasive Fluorescence Imaging System (FluorIS) and developed a methodology to acquire daytime fluorescent photographs and identify coral recruits in them. We tested our method by monitoring 20 random quadrats at two sites in the Gulf of Aqaba, Israel. The quadrats were surveyed once a month for 8 months in order to track the settlement, mortality and survival rates of new coral recruits. We demonstrate daytime imaging using our method and identification of coral recruits as small as 1 mm in diameter, in a 20 × 20 cm quadrat. Our results show that this photographic method reduces surveyor errors and improves precision. The surveys revealed that on average, there are ∼2 new coral recruit settlements (<2 cm) for a quadrat (40 cm 2 ) per month and that 83% of them survive the first month. Our study suggests a relative stability in the Gulf of Aqaba coral population during the survey period. The ability to survey recruits during the day using low-cost, easy-to-use photographic equipment has the potential to contribute significantly to the standardization of coral reef monitoring and management tools, at a time when the world's coral reefs are declining due to local and global stressors.

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Section: Discussionsupporting

confidence: 90%

In situ Analysis of Coral Recruits Using Fluorescence Imaging

et al. 2017

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“…The large decrease in planula release between years that we observed in field-sampled corals (Fig. 3C) may have been due to natural variation (Rinkevich & Loya 1987) and/or anthropogenically caused stress to coral reefs at Eilat (Loya 2004). The decrease in sexual reproduction that we observed here parallels recent declines in stony coral percent cover (Wielgus et al 2003, Loya 2004, recruitment (Glassom et al 2004) and calcification rates on coral reefs at Eilat (Silverman et al 2004).…”

Section: Discussionmentioning

confidence: 50%

“…Resale or republication not permitted without written consent of the publisher 1988, Harrison & Wallace 1990, Richmond & Hunter 1990, Babcock et al 1994, Richmond 1997, Loya 2004. Levels of synchronization in planula release by pocilloporid corals are known to vary widely among locations (reviewed in Tanner 1996), but clear patterns have not yet emerged in terms of control by lunar and seasonal environmental factors (Harrison & Wallace 1990, Shlesinger et al 1998, Fautin 2002.…”

Section: Abstract: Reproduction · Coral Reef · Lunar Cycle · Eilat ·mentioning

confidence: 99%

Lunar periodicity of planula release in the reef-building coral Stylophora pistillata

Zakai¹,

Dubinsky²,

Avishai³

et al. 2006

Mar. Ecol. Prog. Ser.

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“…The mosaic is created using the methods by [32][33][34] from survey images (283 high-resolution digital still images and rendered at 1 mm per pixel) of shallow water coral reefs in the Red Sea, near Eilat [37]. The mosaic covers an area of 19.2 square meters.…”

Section: Mosaic Image Classificationmentioning

confidence: 99%

Image-Based Coral Reef Classification and Thematic Mapping

et al. 2013

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This paper presents a novel image classification scheme for benthic coral reef images that can be applied to both single image and composite mosaic datasets. The proposed method can be configured to the characteristics (e.g., the size of the dataset, number of classes, resolution of the samples, color information availability, class types, etc.) of individual datasets. The proposed method uses completed local binary pattern (CLBP), grey level co-occurrence matrix (GLCM), Gabor filter response, and opponent angle and hue channel color histograms as feature descriptors. For classification, either knearest neighbor (KNN), neural network (NN), support vector machine (SVM) or probability density weighted mean distance (PDWMD) is used. The combination of features and classifiers that attains the best results is presented together with the guidelines for selection. The accuracy and efficiency of our proposed method are compared with other state-of-the-art techniques using three benthic and three texture datasets. The proposed method achieves the highest overall classification accuracy of any of the tested methods and has moderate execution time. Finally, the proposed classification scheme is applied to a large-scale image mosaic of the Red Sea to create a completely classified thematic map of the reef benthos.

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The Coral Reefs of Eilat — Past, Present and Future: Three Decades of Coral Community Structure Studies

Cited by 98 publications

References 94 publications

In situ Analysis of Coral Recruits Using Fluorescence Imaging

In situ Analysis of Coral Recruits Using Fluorescence Imaging

Lunar periodicity of planula release in the reef-building coral Stylophora pistillata

Image-Based Coral Reef Classification and Thematic Mapping

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