Zoogeography of Hydrozoa: Past, Present and a Look to the Future

Gravili, Cinzia

doi:10.1007/978-3-319-31305-4_7

Cited by 7 publications

(4 citation statements)

References 104 publications

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“…Hydrozoans, a widespread and diverse group of cnidarians (Gravili 2016), represent an ideal system for studying species-specific fluorescence patterns. Notably, green fluorescent protein (GFP) was first isolated from the jellyfish Aequorea victoria (Shimomura 2005).…”

Section: Introductionmentioning

confidence: 99%

Fluorescence patterns and diversity of hydrozoans from Bocas del Toro, Panama

Beckmann,

Vincent,

De León

et al. 2024

Cienc. Mar.

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Many metazoans contain molecules capable of fluorescence, the absorption and re-emission of light. Since the anatomical distribution, or patterning, of these molecules is variable across taxa, patterns of fluorescence may serve as a powerful diagnostic tool in taxonomy and ecology. However, species-specific fluorescence patterns among marine invertebrates are poorly understood. Here, we show that hydrozoans have diverse fluorescence patterns, which may result from molecules that are produced intrinsically or obtained from dietary sources. We surveyed hydrozoans including siphonophores, hydromedusae, and hydroids across 5 orders from pelagic and benthic marine environments in Bocas del Toro, Panama. Our findings show that fluorescence patterns are highly prevalent and may vary across hydrozoan species and throughout development. Most of the examined hydrozoan taxa exhibited some form of fluorescence, with variation observed between life stages and body parts. Fluorescence was documented in 88% of hydromedusae (Leptothecata, Anthoathecata, Limnomedusae and Narcomedusae), 50% of hydroid, and 75% of siphonophore taxa that were observed in this study. Our results illustrate how fluorescence patterns may serve as a useful diagnostic tool to explore marine biodiversity, highlighting the need for further documentation of fluorescence patterns across marine diversity and research into the molecules that underlie this phenomenon.

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Section: Introductionmentioning

confidence: 99%

Fluorescence patterns and diversity of hydrozoans from Bocas del Toro, Panama

Beckmann,

Vincent,

De León

et al. 2024

Cienc. Mar.

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“…The current, exponentially accelerating Global Climate Change driven [4,5], ocean warming and seawater acidification endanger their very survival. The warming destabilizes the symbiosis between corals and their endosymbiotic algae that provide the energy base of the coral holobiont and of the entire reef ecosystem [6,7]. The acidification shifts the balance from skeletal carbonate deposition to its dissolution.…”

Section: Introductionmentioning

confidence: 99%

Deep Neural Network Analysis for Environmental Study of Coral Reefs in the Gulf of Eilat (Aqaba)

Raphael

Dubinsky

Netanyahu

et al. 2021

BDCC

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Coral reefs are undergoing a severe decline due to ocean acidification, seawater warming and anthropogenic eutrophication. We demonstrate the applicability of Deep Learning (DL) for following these changes. We examined the distribution and frequency appearance of the eleven most common coral species at four sites in the Gulf of Eilat. We compared deep learning with conventional census methods. The methods used in this research were natural sampling units via photographing the coral reef, line transects for estimating the cover percentage at the four test sites and deep convolutional neural networks, which proved to be an efficient sparse classification for coral species using the supervised deep learning method. The main research goal was to identify the common coral species at four test sites in the Gulf of Eilat, using DL to detect differences in coral cover and species composition among the sites, and relate these to ecological characteristics, such as depth and anthropogenic disturbance. The use of this method will produce a vital database to follow changes over time in coral reefs, identify trend lines and recommend remediation measures accordingly. We outline future monitoring needs and the corresponding system developments required to meet these.

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“…Among coastal marine biota, coral reefs are home to a unique hotspot of biodiversity. In the last decades, coral reefs are undergoing a severe decline worldwide [1][2][3] due to a combination of ocean acidification [4,5], and seawater warming [6,7], their adverse impacts intensified by anthropogenic eutrophication and pollution [8]. These bring about both the decline in live reef cover and a decrease in coral species diversity [1].…”

Section: Introductionmentioning

confidence: 99%

Deep neural network recognition of shallow water corals in the Gulf of Eilat (Aqaba)

Raphael

Dubinsky

Iluz

et al. 2021

Proceedings of 1st International Electronic Conference on Biological Diversity, Ecology and Evolution

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We describe the application of the deep learning computerized methodology to the recognition of corals in a shallow reef in the Gulf of Eilat, Red Sea. This project aimed at applying deep neural network analysis, based on thousands of underwater images, to the automatic recognition of some common species among the 100 species reported to be found in the Eilat coral reefs. This is a challenging task, since even in the same colony, corals exhibit significant within-species morphological variability, i.e., age, depth, current, light, geographic location, and inter-specific competition. Since deep learning procedures are based on photographic images, the task is further challenged by image quality, distance from the object, angle of view, and light conditions. We produced a large dataset of over 5000 coral images that were classified into eleven species used in the present deep learning machine classification. We demonstrate the efficiency and reliability of the method, as compared to painstaking manual classification. We demonstrated that this method is readily adaptable to include additional species, providing an excellent tool for the benefit of future studies done in the region, allowing real time monitoring the detrimental effects of global climate change and anthropogenic impacts on the coral reefs of the Gulf of Eilat and elsewhere, and assessing the success of bioremediation efforts.

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Zoogeography of Hydrozoa: Past, Present and a Look to the Future

Cited by 7 publications

References 104 publications

Fluorescence patterns and diversity of hydrozoans from Bocas del Toro, Panama

Fluorescence patterns and diversity of hydrozoans from Bocas del Toro, Panama

Deep Neural Network Analysis for Environmental Study of Coral Reefs in the Gulf of Eilat (Aqaba)

Deep neural network recognition of shallow water corals in the Gulf of Eilat (Aqaba)

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