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34 results for “Meiofauna”
Meiofauna higher taxa abundance data from a monitoring study of sandy beach meiofauna before and after sand nourishment (Ahrenshoop, Baltic Sea)
<p>We provide abundance data for meiofauna taxa determined from sediment samples collected on the sandy-beach water line of Ahrenshoop (Baltic Sea). Five sampling stations lay within the zone impacted by the sand nourishment between the boundary of the nature reserve in the north east and a site just north of the breakwater (AH01–AH05). An unaffected reference station was located south of Ahrenshoop (close to Niehagen) at the end of the road Pappelallee (PAP). Samples were collected at four dates. The first sampling was carried out before the sand nourishment took place (T0: 14 September 2021). Three samplings were realised after the impact: T1 (23 March 2022), T2 (27 September 2022), and T3 (28 March 2023). Latitude and longitude of each sampling location per station were recorded at each sampling date using a hand-held GPS application on a mobile phone. At the stations sampling locations varied over time. Prior to the sand nourishment the beach was narrow due to sand erosion in previous years. After the nourishment the additional extent of the beach was approximately 40 m at sampling date T1. Subsequently, progressive sand erosion forced the sampling locations (situated at the water line) further inland at T2 and T3.</p> <p>Samples were taken from the beach-water interface (water line) in the middle of the area between two groynes. Plexiglass cores (inner core diameter 5.4 cm) were inserted vertically into the sediment down to 15 cm depth. Each core was sliced in 5 cm-layers (0–5, 5–10 and 10–15 cm). Sediment horizons were preserved in 96–99% ethanol. The organisms were extracted by decantation over a 32-μm sieve. The total number of individuals per taxon was counted and is presented as individuals per 10 cm<sup>2</sup>.</p> <p>In the framework of our monitoring, samples were primarily taken for a large-scale metabarcoding study on meiofauna communities. One core per station and sampling date was reserved for morphology-based community analyses. Here we present the results for the stations AH01, AH03, AH05, and PAP. We selected these stations because of their location at both ends and in the center of the impacted zone (AH01, AH03, AH05) and at the control site (PAP). The meiofauna (32–1000 µm) was mostly represented by Copepoda, Nematoda, Platyhelminthes, Gastrotricha, and some Annelida. We counted 27445 individuals in total, encompassing 10 higher taxa. We counted copepod nauplii separately due to their small body size. We defined the combined group “Plathyhelminthes+<em>Diurodrilus</em> sp.” because members of the annelid genus <em>Diurodrilus</em> sp. are not distinguishable from Platyhelminthes under the stereomicroscope.</p> <p>Here we present a Table on meiofauna higher taxa counts per 10cm<sup>2</sup> (as xlsx and tab-delimited file; including metadata for each sample: event; date; latitude; longitude; station, core and sample ID; sediment depth).</p> <p>The meiofauna abundance data are part of a larger ecological study on the influence of sand nourishment on meiofauna communities, which included grain-size and metabarcoding analyses (see “related works”).</p> <p><strong>Comment: </strong>Our study is related to but not funded by the project ECAS Baltic: Strategies of ecosystem-friendly coastal protection and ecosystem-supporting coastal adaptation for the German Baltic Sea Coast <a href="https://deutsche-kuestenforschung.de/ecas-baltic.html">https://deutsche-kuestenforschung.de/ecas-baltic.html</a></p>
Metabarcoding data (number of reads per operational taxonomic unit) from a monitoring study of sandy beach meiofauna before and after sand nourishment (Ahrenshoop, Baltic Sea)
<p>We provide metabarcoding data (number of reads per operational taxonomic unit, OTU) determined from sediment samples collected on the sandy-beach water line of Ahrenshoop (Baltic Sea). Five sampling stations lay within the zone impacted by the sand nourishment between the boundary of the nature reserve in the north east and a site just north of the breakwater (AH01–AH05). An unaffected reference station was located south of Ahrenshoop (close to Niehagen) at the end of the road Pappelallee (PAP). Samples were collected at four dates. The first sampling was carried out before the sand nourishment took place (T0: 14 and 16 September 2021). Three samplings were realised after the impact: T1 (23 March 2022), T2 (27 September 2022), and T3 (28 March 2023). Latitude and longitude of each sampling location per station were recorded at each sampling date using a hand-held GPS application on a mobile phone. At the stations sampling locations varied over time. Prior to the sand nourishment the beach was narrow due to sand erosion in previous years. After the nourishment the additional extent of the beach was approximately 40 m at sampling date T1. Subsequently, progressive sand erosion forced the sampling locations (situated at the water line) further inland at T2 and T3.<br>Samples were taken from the beach-water interface (water line) in the middle of the area between two groynes. Plexiglass cores (inner core diameter 5.4 cm) were inserted vertically into the sediment down to 15 cm depth. Each core was sliced in 5 cm-layers (0–5, 5–10 and 10–15 cm). Sediment horizons were preserved in 96–99% ethanol. <br>Three cores (2 cores at T0) per sampling date were taken for metabarcoding analyses. The organisms were extracted by decantation over a 32-μm sieve. Genomic DNA was extracted from the filters using the DNeasy PowerSoil pro kit (Qiagen). Realtime-PCR was performed to amplify V1&V2, two hypervariable regions of 18S rDNA gene. The sequencing run was performed using the MiSeq Reagent Nanokit v2 (250 cycles paired end) on an Illumina MiSeq platform at the DZMB Metabarcoding lab in Wilhelmshaven, Germany. High-resolution amplicon sequence variants (ASVs) were obtained and compared to the NCBI database to assign taxonomic information to each ASV. The target meiofauna ASVs were further classified into operational taxonomic units (OTUs) with a 3% cut-off threshold using the statistical software R.</p> <p>Here, we present two Tables (as xlsx and tab-delimited files):<br>(1) the taxonomic description of the 843 OTUs and their assigned ID number;<br>(2) the number of reads per OTU per sample (including metadata for each sample: event; date; latitude; longitude; station, core and sample ID; sediment depth).</p> <p>The metabarcoding data are part of a larger ecological study on the influence of sand nourishment on meiofauna communities, which included grain-size and meiofauna abundances (see “related works”).</p> <p><strong>Comment: </strong>Our study is related to but not funded by the project ECAS Baltic: Strategies of ecosystem-friendly coastal protection and ecosystem-supporting coastal adaptation for the German Baltic Sea Coast <a href="https://deutsche-kuestenforschung.de/ecas-baltic.html">https://deutsche-kuestenforschung.de/ecas-baltic.html</a></p>
An analysis of meiofauna knowledge generated by Latin American researchers
<p>Bibliographic databases used to analyse the document production of benthic meiofauna in Latin American countries. To be opened on R, bibliometrix package.</p> <p> </p>
Figure 5 in Expanding the taxonomic catalog of Brazilian meiofauna: diversity and distribution of the neglected phyla Tardigrada, Gastrotricha, and Kinorhyncha
Figure 5. Species richness estimation within (A) Tardigrada and (B) Gastrotricha families in Brazil. Dark dots represent the actual number of described species and gray dots the extrapolated number of species for families with a number of described species that allows extrapolation.
Figure 4 in Expanding the taxonomic catalog of Brazilian meiofauna: diversity and distribution of the neglected phyla Tardigrada, Gastrotricha, and Kinorhyncha
Figure 4. Temporal accumulation curve of species of (A) Tardigrada and (B) Gastrotricha and the number of endemic and not endemic species in Brazil. Solid lines depict the interpolated curves, representing the rate of species description over time, while dashed lines extend these curves to show extrapolated rates. The gray areas surrounding the curves signify the 95% upper and lower bound confidence intervals for the estimated species description rates. Actual counts of described species are denoted by dots.
Figure 1 in Expanding the taxonomic catalog of Brazilian meiofauna: diversity and distribution of the neglected phyla Tardigrada, Gastrotricha, and Kinorhyncha
Figure 1. Number of Tardigrada, Kinorhyncha and Gastrotricha species described or reported to Brazil by year (from 1936 to July 2023).
Linked collectors and determiners for: Sea-ice meiofauna biodiversity from the Nansen Legacy cruise Q4 (cruise number: 2019711).
Natural history specimen data linked to collectors and determiners held within, "Sea-ice meiofauna biodiversity from the Nansen Legacy cruise Q4 (cruise number: 2019711)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/4579d9f1-f913-4d71-8581-e1dd2b812501">https://bionomia.net/dataset/4579d9f1-f913-4d71-8581-e1dd2b812501</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/4579d9f1-f913-4d71-8581-e1dd2b812501">https://gbif.org/dataset/4579d9f1-f913-4d71-8581-e1dd2b812501</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Sea-ice meiofauna biodiversity from the Nansen Legacy joint cruise JC1-2 (cruise number: 2018707).
Natural history specimen data linked to collectors and determiners held within, "Sea-ice meiofauna biodiversity from the Nansen Legacy joint cruise JC1-2 (cruise number: 2018707)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/727aa4d6-2436-4536-be48-d40963f9d352">https://bionomia.net/dataset/727aa4d6-2436-4536-be48-d40963f9d352</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/727aa4d6-2436-4536-be48-d40963f9d352">https://gbif.org/dataset/727aa4d6-2436-4536-be48-d40963f9d352</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Sea-ice meiofauna biodiversity from the Nansen Legacy joint cruise JC2-1 (cruise number: 2021708).
Natural history specimen data linked to collectors and determiners held within, "Sea-ice meiofauna biodiversity from the Nansen Legacy joint cruise JC2-1 (cruise number: 2021708)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/7b9ee529-aa5f-41b7-bbe8-8d8afb0a148c">https://bionomia.net/dataset/7b9ee529-aa5f-41b7-bbe8-8d8afb0a148c</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/7b9ee529-aa5f-41b7-bbe8-8d8afb0a148c">https://gbif.org/dataset/7b9ee529-aa5f-41b7-bbe8-8d8afb0a148c</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Sea-ice meiofauna biodiversity from the Nansen Legacy cruise Q3 (cruise number: 2019706).
Natural history specimen data linked to collectors and determiners held within, "Sea-ice meiofauna biodiversity from the Nansen Legacy cruise Q3 (cruise number: 2019706)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/ea261345-4e83-4f12-aa5f-f4b119d5a4ce">https://bionomia.net/dataset/ea261345-4e83-4f12-aa5f-f4b119d5a4ce</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/ea261345-4e83-4f12-aa5f-f4b119d5a4ce">https://gbif.org/dataset/ea261345-4e83-4f12-aa5f-f4b119d5a4ce</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Sea-ice meiofauna biodiversity from the Nansen Legacy joint cruise JC3 (cruise number: 2022702).
Natural history specimen data linked to collectors and determiners held within, "Sea-ice meiofauna biodiversity from the Nansen Legacy joint cruise JC3 (cruise number: 2022702)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/7181ab6e-32de-4928-b152-a60025cd1e21">https://bionomia.net/dataset/7181ab6e-32de-4928-b152-a60025cd1e21</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/7181ab6e-32de-4928-b152-a60025cd1e21">https://gbif.org/dataset/7181ab6e-32de-4928-b152-a60025cd1e21</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Sea-ice meiofauna biodiversity from the Nansen Legacy joint cruise JC2-2 (cruise number: 2021710).
Natural history specimen data linked to collectors and determiners held within, "Sea-ice meiofauna biodiversity from the Nansen Legacy joint cruise JC2-2 (cruise number: 2021710)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/8daf75ea-e1c4-4231-9848-b3ba4928aa4a">https://bionomia.net/dataset/8daf75ea-e1c4-4231-9848-b3ba4928aa4a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/8daf75ea-e1c4-4231-9848-b3ba4928aa4a">https://gbif.org/dataset/8daf75ea-e1c4-4231-9848-b3ba4928aa4a</a>. Formatted as a Frictionless Data package.
Data from: The use of metabarcoding for meiofauna ecological patterns assessment
Marine meiofauna comprises up to 22 phyla. Its morphological identification requires time and taxonomists' expertise, and molecular tools can make this task faster. We aim to disentangle meiofaunal diversity patterns at Araçá Bay by applying a model selection approach and estimating the effectiveness of metabarcoding (18S rDNA) and morphological methods for estimating the response of meiofauna diversity in small-scale interactions with environmental variables. A rarefaction curve indicated that ten samples were sufficient for estimating the total number of meiofauna OTUs in a tidal flat. In both approaches, richness was predicted by mean sand percentage, sediment sorting, and bacteria concentration. Nematode genera composition differed significantly between approaches, the result of taxonomic mismatch in the genetic database. The similarity between the model selected for diversity descriptors, the richness of nematode genera and meiofauna composition emphasized the utility of predictive models for metabarcoding estimates to detect small-scale interactions of these organisms.
Data from: Meiofauna affect the macrobenthic biodiversity-ecosystem functioning relationship
The biodiversity–ecosystem functioning (B–EF) relationship has become of main interest in the last few decades, mostly because of the worldwide increase in species extinctions. However, most of these studies only consider species within single size-class or trophic level, thereby most likely underestimating ecosystem complexity. To reach more realistic scenarios, we assessed the role of meiofauna (lower size-class level) on the relationship between macrofaunal biodiversity and multiple benthic ecosystem properties. Experiments took place under controlled conditions using three macrofaunal species (Alitta (formerly Nereis) virens, Macoma balthica and Mya arenaria). A total of eight combinations of zero to three functionally different macrofaunal species were maintained in microcosms for 34 days in either the presence or absence of a different size-class grouping (a meiofaunal mixture). The organic matter content and bacterial abundance in sediments and the oxygen and nutrient (NH4+, NOx-, PO4 3-) fluxes across the sediment-water interface were measured and used as proxies of ecosystem properties. Overall, macrofaunal species richness did not modify any of the measured properties; however, we observed changes associated to the presence of A. virens and M. balthica. This study also revealed a strong impact of the presence of meiofauna on ecosystem properties. They changed interactions between macrofaunal species, which led to modifications in the ecosystem properties. Thus, even if this size-class group has been poorly considered in previous studies, this experiment suggests that future studies should consider the meiofauna with greater attention, particularly in the context of B–EF.
FIGURE 3 in Change In The Meiofauna Community Structure Of Sandy Beaches Of The Nuevo Gulf (Chubut, Argentina
FIGURE 3: MDS ordinations from fourth root transformed abundances of meiofauna data in the beaches near to (●) and far away from (○) a city of Nuevo Gulf.
FIGURE 4 in Change In The Meiofauna Community Structure Of Sandy Beaches Of The Nuevo Gulf (Chubut, Argentina
FIGURE 4: Principal component analysis ordinations from fourth root transformed data of abiotic variables in the beaches near to (●) and far away from (○) the city of Nuevo Gulf. RPD: redox potential discontinuity dept; MGS: mean grain size.
Data from: Meiofauna promotes litter decomposition in stream ecosystems depending on leaf species
<p>Litter decomposition, a fundamental process of nutrient cycling and energy flow in freshwater ecosystems, is driven by a diverse array of decomposers. As an important component of the heterotrophic food web, meiofauna can provide a trophic link between leaf-associated microbes (i.e., bacteria and fungi)/plant detritus and macroinvertebrates, though their contribution to litter decomposition is not well understood. To investigate the role of different decomposer communities in litter decomposition, especially meiofauna, we compared the litter decomposition of three leaf species with different lignin to nitrogen ratios in litter bags with different mesh sizes (0.05, 0.25, and 2 mm) in a forested stream, in China for 78 days. The meiofauna significantly enhanced the decomposition of leaves of high- and medium-quality, while decreasing (negative effect) or increasing (positive effect) the fungal biomass and diversity. Macrofauna and meiofauna together contributed to the decomposition of low-quality leaf species. The presence of meiofauna and macrofauna triggered different aspects of the microbial community, with their effects on litter decomposition varying as a function of leaf quality. This study reveals that the meiofauna increased the trophic complexity and modulated their interactions with microbes, highlighting the important yet underestimated role of meiofauna in detritus-based ecosystems.</p>
Data from: The use of metabarcoding for meiofauna ecological patterns assessment
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Data from: Meiofauna promotes litter decomposition in stream ecosystems depending on leaf species
Open the record for dataset details and reuse information.
Data from: Meiofauna affect the macrobenthic biodiversity-ecosystem functioning relationship
Open the record for dataset details and reuse information.
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