Posidonia oceanica wrack beds as a fish habitat in the surf zone

Bussotti, Simona; Guidetti, Paolo; Rossi, Francesca

doi:10.1016/j.ecss.2022.107882

Cited by 2 publications

(2 citation statements)

References 76 publications

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“…In Mediterranean surf zones, these fishes, mostly represented by invertivorous (e.g., labrids) and omnivorous species, are observed feeding in P. oceanica AEM and using the resuspended dark-brown vegetal fragments to hide; higher species richness and fish density are observed on AEM than on sand. (Bussotti et al, 2022).…”

Section: Macrophytodetritus Accumulation As Habitatsmentioning

confidence: 99%

Tropicalization of seagrass macrophytodetritus accumulations and associated food webs

Lepoint

Hyndes

2022

Front. Mar. Sci.

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Seagrass, systems export significant amounts of their primary production as large detritus (i.e. macrophytodetritus). Accumulations of exported macrophytodetritus (AEM) are found in many areas in coastal environment. Dead seagrass leaves are often a dominant component of these accumulations, offering shelter and/or food to numerous organisms. AEM are particular habitats, different from donor habitats (i.e. seagrass meadow, kelp or macroalgae habitats) and with their own characteristics and dynamics. They have received less attention than donor habitats despite the fact they often connect different coastal habitats, are the place of intense remineralization processes and shelter associated detritus food web. As for seagrass meadows themselves, AEM are potentially affected by global change and by tropicalization processes. Here, we review briefly general characteristic of AEM with a focus on Mediterranean Sea and Western Australia and we provide some hypotheses concerning their tropicalization in a near future. We conclude that AEM functioning could change either through: (1) declines in biomass or loss of seagrass directly due to increased ocean temperatures or increased herbivory from tropicalized herbivores; (2) increased degradation and processing of seagrass detritus within seagrass meadows leading to reduced export; (3) replacement of large temperate seagrass species with smaller tropical seagrass species; and/or (4) loss or changes to macroalgae species in neighboring habitats that export detritus. These processes will alter the amount, composition, quality, timing and frequency of inputs of detritus into ecosystems that rely on AEM as trophic subsidies, which will alter the suitability of AEM as habitat and food for invertebrates.

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Section: Macrophytodetritus Accumulation As Habitatsmentioning

confidence: 99%

Tropicalization of seagrass macrophytodetritus accumulations and associated food webs

Lepoint

Hyndes

2022

Front. Mar. Sci.

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“…For the monitoring of BW, it is important to understand BW dynamics and the factors that influence its distribution and abundance [10]. However, the detection of BW can be challenging due to its variability in distribution and abundance, its accessibility, particularly in remote or difficult-to-reach areas, and the limitations of traditional methods for mapping it [11,12]. The traditional methods for monitoring BW have been described as laborintensive and reliant on manual field surveys.…”

Section: Introductionmentioning

confidence: 99%

U-Net Performance for Beach Wrack Segmentation: Effects of UAV Camera Bands, Height Measurements, and Spectral Indices

Tiškus,

Bučas,

Gintauskas

et al. 2023

Drones

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This study delves into the application of the U-Net convolutional neural network (CNN) model for beach wrack (BW) segmentation and monitoring in coastal environments using multispectral imagery. Through the utilization of different input configurations, namely, “RGB”, “RGB and height”, “5 bands”, “5 bands and height”, and “Band ratio indices”, this research provides insights into the optimal dataset combination for the U-Net model. The results indicate promising performance with the “RGB” combination, achieving a moderate Intersection over Union (IoU) of 0.42 for BW and an overall accuracy of IoU = 0.59. However, challenges arise in the segmentation of potential BW, primarily attributed to the dynamics of light in aquatic environments. Factors such as sun glint, wave patterns, and turbidity also influenced model accuracy. Contrary to the hypothesis, integrating all spectral bands did not enhance the model’s efficacy, and adding height data acquired from UAVs decreased model precision in both RGB and multispectral scenarios. This study reaffirms the potential of U-Net CNNs for BW detection, emphasizing the suitability of the suggested method for deployment in diverse beach geomorphology, requiring no high-end computing resources, and thereby facilitating more accessible applications in coastal monitoring and management.

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Posidonia oceanica wrack beds as a fish habitat in the surf zone

Cited by 2 publications

References 76 publications

Tropicalization of seagrass macrophytodetritus accumulations and associated food webs

Tropicalization of seagrass macrophytodetritus accumulations and associated food webs

U-Net Performance for Beach Wrack Segmentation: Effects of UAV Camera Bands, Height Measurements, and Spectral Indices

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