Detached macroalgae: Its importance to inshore sandy beach fauna

Orr, Kyla; Wilding, Thomas A.; Horstmeyer, Lena; Weigl, Simon E.; Heymans, Johanna J.

doi:10.1016/j.ecss.2013.12.011

Cited by 25 publications

(9 citation statements)

References 79 publications

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“…Within this context, some hypotheses that could explain these spatial patterns of species diversity are: (i) Massive seaweed accumulations as wrack during the influence of cold fronts and in dry season. The accumulation of wrack in the intertidal zone is spatially heterogeneous but widespread in this region (as evidenced in pictures of Figure 1); these accumulations in low quantities can be a source of energy and nutrients, promoting circumstantial high diversity of macrofauna (Rodil et al, 2008;Barreiro et al, 2013;Orr et al, 2014), but in large quantities could cause anoxia and large amounts of toxic leachates with negative effects on the macrofaunal community (Quillien et al, 2015). Although this process is not as evident as that of Sargassum in the Caribbean (Rodríguez- Martínez et al, 2019), it is a process that occurs annually in the coast of Yucatán State.…”

Section: Biological Patternsmentioning

confidence: 98%

Sandy Beach Macrofauna of Yucatán State (Mexico) and Oil Industry Development in the Gulf of Mexico: First Approach for Detecting Environmental Impacts

et al. 2020

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Guerra-Castro et al.Macrofauna and Pollution of Yucatán Beaches than those considered as lower-threshold values for marine sediments. The biological and chemical patterns reported here indicated that it is an appropriate moment to start long-term monitoring. The sampling design we suggest is based on statistical precision and internationally recognized protocols for assessment of marine diversity on sandy beaches.

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Section: Biological Patternsmentioning

confidence: 98%

Sandy Beach Macrofauna of Yucatán State (Mexico) and Oil Industry Development in the Gulf of Mexico: First Approach for Detecting Environmental Impacts

et al. 2020

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“…Then we removed clouds from the scenes by evaluating the SCL (Scene Classification Map) band and the QA60 band of the Level-2A product. From the SCL band we filtered the classes cloud shadows (3), cloud medium (8), cloud high (9), cirrus (11) and snow/ice (11). From the QA60 band, pixels with values 10 (clouds present) and 11 (cirrus present) were removed.…”

Section: Advanced Shoreline Maskingmentioning

confidence: 99%

“…While floating, the species are alive, actively photosynthesizing and thus break down slowly [9]. They form loose patches in the surf zone providing feeding habitat, nursery area or shelter for fish and small, weak-swimming detritivores/omnivores [10,11]. Beach cast, also called wrack band, beach strand, beach wreck, banquettes or stormcast is unattached macrovegetation that is washed ashore by waves or tides and accumulated on the beach.…”

Section: Introductionmentioning

confidence: 99%

Classification Ensembles for Beach Cast and Drifting Vegetation Mapping with Sentinel-2 and PlanetScope

2021

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Along the Baltic coastline of Germany, drifting vegetation and beach cast create overlays at the otherwise sandy or stony beaches. These overlays influence the morphodynamics and structures of the beaches. To better understand the influence of these patchy habitats on coastal environments, regular monitoring is necessary. Most studies, however, have been conducted on spatially larger and temporally more stable occurrences of aquatic vegetation such as floating fields of Sargassum. Nevertheless, drifting vegetation and beach cast pose a particular challenge, as they exhibit high temporal dynamics and sometimes small spatial extent. Regular surveys and mappings are the traditional methods to record their habitats, but they are time-consuming and cost-intensive. Spaceborne remote sensing can provide frequent recordings of the coastal zone at lower cost. Our study therefore aims at the monitoring of drifting vegetation and beach cast on spatial scales between 3 and 10 m. We developed an automated coastline masking algorithm and tested six supervised classification methods and various classification ensembles for their suitability to detect small-scale assemblages of drifting vegetation and beach cast in a study area at the coastline of the Western Baltic Sea using multispectral data of the sensors Sentinel-2 MSI and PlanetScope. The shoreline masking algorithm shows high accuracies in masking the land area while preserving the sand-covered shoreline. We could achieve best classification results using PlanetScope data with an ensemble of a random forest classifier, cart classifier, support vector machine classifier, naïve bayes classifier and stochastic gradient boosting classifier. This ensemble accomplished a combined f1-score of 0.95. The accuracy of the Sentinel-2 classifications was lower but still achieved a combined f1-score of 0.86 for the same ensemble. The results of this study can be considered as a starting point for the development of time series analysis of the vegetation dynamics along Baltic beaches.

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“…The contribution of this primary production to the adjacent ecosystem has been studied in Antarctica (Dunton 2001) and the Southern Indian Ocean (Kaehler et al 2000(Kaehler et al , 2006, along the Atlantic Ocean from South Africa (Bustamante and Branch 1996) via Brittany in France (Schaal et al 2010(Schaal et al , 2012Leclerc et al 2013a, b) to Scotland (Orr et al 2014) and to Northern Norwegian kelp forests (Fredriksen 2003). At the Western side of the Atlantic in Nova Scotia, extensive research on kelp detritus was conducted by Scheibling (2011, 2012).…”

Section: Introductionmentioning

confidence: 98%

Working on a baseline for the Kongsfjorden food web: production and properties of macroalgal particulate organic matter (POM)

Buchholz

Wiencke

2015

Polar Biol

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Macroalgae, in particular kelps, produce a large amount of biomass in Kongsfjorden, which is to a great extent released into the water in an annual cycle. As an example, the brown alga Alaria esculenta loses its blade gradually, 3 ± 0.8 % of the blade area per day (August 2012), thereby adding to the pool of particulate organic matter (POM) in the fjord. Upon release small thallus pieces are ''aging'' in that they are prone to leaching and serving as substrate for microorganisms, thus turning into palatable food for suspension and bottom feeders. In order to define a macroalgal baseline for the Kongsfjorden food web, stable isotopes d 14 C and d 15 N were measured in individuals of A. esculenta, Saccharina latissima and Laminaria digitata directly sampled after collection and in artificially produced POM (aPOM) of A. esculenta that was allowed to age under experimental conditions. In aPOM from this species sampled in August 2012 the C/N ratios decreased between d1 and d8 of a 14-day culture period in parallel to the fading photosynthetic activity of the algal fragments as demonstrated by use of an Imaging-PAM. Microscopic observations of the aPOM in August 2012 and 2013 revealed the frequent occurrence of small brown algal endo-and epiphytes. First feeding experiments with Mysis oculata (Mysids) and Hiatella arctica (Bivalves) showed that these species can ingest macroalgal POM. The importance of kelp-derived POM for the food web is subject of the current research.

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Detached macroalgae: Its importance to inshore sandy beach fauna

Cited by 25 publications

References 79 publications

Sandy Beach Macrofauna of Yucatán State (Mexico) and Oil Industry Development in the Gulf of Mexico: First Approach for Detecting Environmental Impacts

Sandy Beach Macrofauna of Yucatán State (Mexico) and Oil Industry Development in the Gulf of Mexico: First Approach for Detecting Environmental Impacts

Classification Ensembles for Beach Cast and Drifting Vegetation Mapping with Sentinel-2 and PlanetScope

Working on a baseline for the Kongsfjorden food web: production and properties of macroalgal particulate organic matter (POM)

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