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32 results for “Macrozoobenthos”
Macrozoobenthos GeoEcoMar DOORS September 2023
<p>The dataset contains macrozoobenthos data collected during the MN248 Cruise, from 3 stations located in the Romanian Black Sea area, in 1-10 September 2023, in the framework H2020 DOORS Project. The main goal of the cruise was to assess the sediment nutrients cycling capacity and the influence of faunal activity on benthic turnover rates of nutrient and oxygen through ex-situ sediment core incubation. The data acquisitions was focused on three main benthic habitats, as follows: coarse and mixed biogenic type of substrata suitable for thriving of mussel’s biogenic reefs and mud sediments under river plume influence. From each station, three replicates were collected with the Multicorer (the sampling size - 0.079 m2) and three with Van-Veen grab (the grasping area - 0.125 m2). The sediment was preserved in buffered formalin 4% , then sieved through a 1 mm and 0.5 mm mesh sieve and subsequently stored in 70% ethanol. The database comprises taxonomic and quantitative data (density and wet weight biomass per square meter) for 69 macrozoobenthic species and 2 supraspecific groups.</p>
Data for: Presence-absence of marine macrozoobenthos does not generally predict abundance and biomass
<p>This repository contains data for the paper: Bijleveld, A. I. et al. (2018) Presence-absence of marine macrozoobenthos does not generally predict abundance and biomass. Scientific Reports 8, 3039, doi:10.1038/s41598-018-21285-1.</p>
Figure 4 in Winter species composition, diversity and abundance of macrozoobenthos in Kuwait's waters, Arabian Gulf
Figure 4. Percentage composition of the abundance of the main taxonomic groups in the sublittoral zone of the three sampled areas of Kuwait Bay, Bubiyan Island and Failaka Island.
Figure 7 in Winter species composition, diversity and abundance of macrozoobenthos in Kuwait's waters, Arabian Gulf
Figure 7. The variation in a Pielou index of evenness (J`) and b Simpson index of dominance (λ`) for the three sampled areas of Failaka, Kuwait Bay and Bubiyan.
Figure 3 in Winter species composition, diversity and abundance of macrozoobenthos in Kuwait's waters, Arabian Gulf
Figure 3. The abundance (ind/m2) of different taxonomic groups of macrozoobenthos in the sublittoral zone: a Average distribution and b Distribution at station 12 in Khor Al-Sabiyah.
Figure 3 in Macrozoobenthos in an altitudinal gradient in North Patagonian Cautín River (Araucanía Region, Chile)
Figure 3. Correlation matrix for PCA for physical-chemical and biotic parameters for sites studied along the Cautín River.
Figure 1 in Macrozoobenthos in an altitudinal gradient in North Patagonian Cautín River (Araucanía Region, Chile)
Figure 1. Map with sites on the Cautín River included in the present study. Table 1. Geographical location, altitude and classification of the sampling sites on the main course of the Cautín River.
Figure 4 in Macrozoobenthos in an altitudinal gradient in North Patagonian Cautín River (Araucanía Region, Chile)
Figure 4. Results of RDA for physical-chemical and biotic parameters for sites studied along the Cautín River.
Figure 5 in Structure of the macrozoobenthos assemblages in the central part of the northwestern Black Sea shelf (Zernov's Phyllophora field) at the beginning of the 21 century
Figure 5. Some characteristic species in Mytilus galloprovincialis biocoenotic complex at the Zernov's Phyllophora Field. A – Mytilus galloprovincialis with a colony of Botryllus schlosseri on the shell; B – Modiolula phaseolina; C – Mytilaster lineatus; D – Abra alba; E – Papillicardium papillosum; F – Parvicardium exiguum; G – Pitar rudis; H – Anadara kagoshimensis; I – Dipolydora quadrilobata, anterior end; J – Heteromastus filiformis; K – Harmothoe imbricata; L – Alitta succinea; M – Spio decorata; N – Nephtys hombergii; O – Terebellides stroemii; P – Spirobranchus triqueter; Q – Aonides paucibranchiata; R – Amphiura stepanovi; S – Nemertea; T – Melinna palmata; U – Upogebia pusilla; V – Ciona intestinalis; W – Ascidiella aspersa; (photos A. Nadolny and N. Revkov).
Figure 3 in Structure of the macrozoobenthos assemblages in the central part of the northwestern Black Sea shelf (Zernov's Phyllophora field) at the beginning of the 21 century
Figure 3. Location of biocoenotic subcomplexes (I–IV) of the bottom macrofauna in the Zernov's Phyllophora Field water area.
Figure 4 in Structure of the macrozoobenthos assemblages in the central part of the northwestern Black Sea shelf (Zernov's Phyllophora field) at the beginning of the 21 century
Figure 4. "Pontic circalittoral biogenic detritic bottoms with dead or alive mussel beds, shell deposits, with encrusting corallines and attached foliose sciaphilic macroalgae" habitat in the Zernov's Phyllophora Field water area. The photo was taken by scuba diver Taras Getman at st. 26 (2010).
Figure 2 in Structure of the macrozoobenthos assemblages in the central part of the northwestern Black Sea shelf (Zernov's Phyllophora field) at the beginning of the 21 century
Figure 2. Hierarchical clustering (A) and MDS ordination (B) of survey stations at Zernov's Phyllophora Field
Linked collectors and determiners for: Records of macrozoobenthos organisms in the Ukrainian part of the Danube delta during 2007-2021.
Natural history specimen data linked to collectors and determiners held within, "Records of macrozoobenthos organisms in the Ukrainian part of the Danube delta during 2007-2021". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/c8908f9c-241c-4569-8874-3b24e56dd92e">https://bionomia.net/dataset/c8908f9c-241c-4569-8874-3b24e56dd92e</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/c8908f9c-241c-4569-8874-3b24e56dd92e">https://gbif.org/dataset/c8908f9c-241c-4569-8874-3b24e56dd92e</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Findings of macrozoobenthos organisms in Chernobyl Exclusion Zone in summer 2021.
Natural history specimen data linked to collectors and determiners held within, "Findings of macrozoobenthos organisms in Chernobyl Exclusion Zone in summer 2021". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/f4cc78fc-686c-426b-b119-a1967fbf16f2">https://bionomia.net/dataset/f4cc78fc-686c-426b-b119-a1967fbf16f2</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/f4cc78fc-686c-426b-b119-a1967fbf16f2">https://gbif.org/dataset/f4cc78fc-686c-426b-b119-a1967fbf16f2</a>. Formatted as a Frictionless Data package.
Figure 5 in Winter species composition, diversity and abundance of macrozoobenthos in Kuwait's waters, Arabian Gulf
Figure 5. Changes in the abundance A and the number of species B in relevance with depth.
Figure 1 in Winter species composition, diversity and abundance of macrozoobenthos in Kuwait's waters, Arabian Gulf
Figure 1. Location of the benthic stations sampled during 3–18 December 2004.
Biological and environmental data for a study on transferability of statistical and machine learning models using North Sea Macrozoobenthos
<p>General</p> <p>Data documented here are not the product of our research but was scraped from various sources and processed - so no genuine reupload. This collection is a contribution to reproduceable reseach. All datasets are given in "RData" binary format</p> <p> </p> <p>Data description</p> <p>majornorthseabenthos </p> <p>This is macrozoobenthos data as data frame scraped from the GBIF repository (gbif.org). Species are Corbula gibba, Tellina fabula, Turritella communis, Euspira pulchella, Corystes cassive- launus, Upogebia deltaura, Lanice conchilega, Nephtys hombergii, Echinocardium cordatum, and Amphiura filiformis. data was postprocessed to have only single occurrence fon the approxinatel 1x1 km grid used for this study. Also, occurrences closer than 5 km close to shore were removed - including occurrences on land.</p> <p> </p> <p>Predictors</p> <p>A SpatialPixelsDataFrame in EPSG 4326 with five layers: Median grain size in micrometers, mud content in percent (both MUDAB database), water depth in meters above MSL (Weatherall et al, 2015), modelled average bottom shear stress from waves in N/sqrm (The Wamdi Group, 1988) and climatologival average winter bottom water temperature in deg. C (Stips et al, 2004).</p> <p> </p> <p> </p> <p>References</p> <p>Stips A, Bolding K, Pohlmann T, Burchard H (2004) Simulating the temporal and spatial dy- namics of the North Sea using the new model GETM (general estuarine transport model). Ocean Dynamics 54(2):266–283</p> <p>The Wamdi Group (1988) The WAM model-a third generation ocean wave prediction model. Journal of Physical Oceanography 18(12):1775–1810</p> <p>Weatherall P, Marks K, Jakobsson M, Schmitt T, Tani S, Arndt JE, Rovere M, Chayes D, Ferrini V, Wigley R (2015) A new digital bathymetric model of the world’s oceans. Earth and Space Science 2(8):331–345</p> <p> </p>
Abundance, biomass and species richness of macrozoobenthos along an intertidal elevation gradient
<p>Ecology aims to comprehend species distribution and its interaction with environmental factors, from global to local scales. While global environmental changes affect marine biodiversity, understanding the drivers at smaller scales remains crucial. Tidal flats can be found on most of the world's coastlines and are particularly vulnerable to anthropogenic disturbances. They are important transient ecosystems between terrestrial and marine ecosystems and their biodiversity provides important ecosystem services. Owing to this unique position at the terrestrial-marine transition, strong environmental gradients of elevation, sediment composition and food availability prevail. </p> <p>The data set contains information on macrozoobenthos abundance, biomass and community composition and abiotic and biotic environmental factors at a regional and local level at back barrier tidal flats of three East-Frisian islands in Germany. As environmental data elevation, mud content in the sediment, total organic carbon (TOC), porewater nutrients and Chl <em>a</em> are included.</p>
Abundance, biomass and species richness of macrozoobenthos along an intertidal elevation gradient
Open the record for dataset details and reuse information.
Supplementary material 6 from: Zizka VMA, Weiss M, Leese F (2020) Can metabarcoding resolve intraspecific genetic diversity changes to environmental stressors? A test case using river macrozoobenthos. Metabarcoding and Metagenomics 4: e51925. https://doi.org/10.3897/mbmg.4.51925
Figure S6. Average nucleotide diversity for all four datasets of shared OTUs seperated according to sample sites and EPT (Ephemeroptera, Plecoptera, Trichoptera) and PR ('Pollution Resistant') taxa
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