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107 results for “Freshwater ecology”
Supplementary file 1 from: Moliner Cachazo L, Makati K, Chadwick MA, Catford JA, Price BW, Mackay AW, Guiry MD, Murray-Hudson M, Murray-Hudson F (2023) A review of the freshwater diversity in the Okavango Delta and Lake Ngami (Botswana): taxonomic composition, ecology, comparison with similar systems and conservation status. Aquatic Sciences
<p>Dataset with 2,204 freshwater species from the Okavango Delta and Lake Ngami (Botswana), with additional 355 species found in other areas of Botswana that are likely to be present in the study region. The dataset covers the following groups: amphibians, birds, fishes, macroinvertebrates, macrophytes, mammals, reptiles, phytoplankton, and zooplankton. The following information is given for each species: status in the Okavango Delta and Lake Ngami (present/potentially present); conservation status globally, Phylum, Class, Order, Family, Genus, species name, cited synonyms, common name, habitat, presence in high water, presence in low water, ecology, distribution in continental Africa, confirmed locations in the Okavango Delta, site coordinates, references, notes.</p>
Linked collectors and determiners for: Freshwater benthic invertebrates ecological collection NTNU University Museum.
Natural history specimen data linked to collectors and determiners held within, "Freshwater benthic invertebrates ecological collection NTNU University Museum". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/33591b80-0e31-480c-82ce-2f57211b10e6">https://bionomia.net/dataset/33591b80-0e31-480c-82ce-2f57211b10e6</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/33591b80-0e31-480c-82ce-2f57211b10e6">https://gbif.org/dataset/33591b80-0e31-480c-82ce-2f57211b10e6</a>. Formatted as a Frictionless Data package.
Data from: A multifaceted ecological assessment reveals the invasion of the freshwater red macroalga Montagnia macrospora (Batrachospermales, Rhodophyta) in Taiwan
<p>Invasive freshwater macroalgae are rarely described. <em>Montagnia macrospora</em> is a freshwater red alga introduced from South America to East Asia via the global aquarium trade. The earliest occurrence record of this alga in Taiwan is dated 2005. To determine whether <em>M. macrospora </em>has become invasive in Taiwan and to understand the traits that facilitated its invasion, we took a multifaceted approach that combines examination of ecological background and population genetic analysis. Our island-wide survey showed that <em>M. macrospora</em> is widespread in the field across Taiwan, where the climate greatly differs from that of South America, and can self-sustain for nearly a decade. Our population genetic analysis revealed a lack of genetic diversity of <em>M. macrospora</em> in Taiwan, consistent with the hypothesis that the alga expanded through asexual reproduction. Moreover, during our long-term ecological assessments and field surveys, we observed that<em>M. macrospora</em> is an ecological generalist that can survive in a wide range of temperature, pH, illumination, and nutrient enrichment. Taken together, our data suggest that <em>M. macrospora</em> has successfully invaded the freshwater ecosystems ofTaiwan, likely due to its ability to disperse asexually and to grow under broad environmental conditions. We hope that our study brings attention to invasive freshwater algae, which have been overlooked in conservation planning and management.</p>
Fig. 1 in Faunistic and ecological investigations of the free-living freshwater nematode fauna of the Koprinka Reservoir (Central Bulgaria)
Fig. 1. Map of Koprinka Reservoir with the location of the sites (stations) (based on a Sentinel 2 images, created by Geopolymorphic Cloud.)
Figure 3 in The ecology of freshwater bivalves in the Lake Sapanca basin, Turkey
Figure 3. Length–frequency distribution of (a) Unio crassus, (b) Unio pictorum, (c) Anodonta anatina, (d) Anodonta cygnea in the Lake Sapanca basin.
Fig. 10 in Diversity and ecological relationships of Cestoda and Monogenoidea parasites of freshwater stingrays (Myliobatiformes, Potamotrygonidae), in the upper Paran´a River, Brazil
Fig. 10. Morphology of Potamotrygonocestus sp.2. Morphology of scolex (A); Mature proglottid (B). Abbreviations: BH = bothridia hooks; GP = genital pore; O = ovary; S = scolex; T = testes; U = uterus, and V = vitellaria.
Fig. 8 in Diversity and ecological relationships of Cestoda and Monogenoidea parasites of freshwater stingrays (Myliobatiformes, Potamotrygonidae), in the upper Paran´a River, Brazil
Fig. 8. Morphology of Acanthobothrium quinonesi. Morphology of scolex by light microscopy (A) and SEM (B); Isolated bothridia hooks (C); Mature proglottid (D); Cirrus sac (E). Abbreviations: AL = anterior loculus; BH = bothridia hooks; Cs = cirrus sac; EC = everted cirrus; Lh = lateral hook; Mh = medial hook; ML = middle loculus; O = ovary; PL = posterior loculus; S = scolex; T = testes, and U = uterus.
Fig. 9 in Diversity and ecological relationships of Cestoda and Monogenoidea parasites of freshwater stingrays (Myliobatiformes, Potamotrygonidae), in the upper Paran´a River, Brazil
Fig. 9. Morphology of Potamotrygonocestus sp.1. Morphology of scolex (A); Isolated bothridia hooks (B); Mature proglottid (C); Cirrus sac (D); Gravid proglottid (E). Abbreviations: EC = everted cirrus; F = furca; GP = genital pore; HB = hook base; O = ovary; S = scolex; T = testes; U = uterus, and V = vitellaria.
Fig. 6 in Diversity and ecological relationships of Cestoda and Monogenoidea parasites of freshwater stingrays (Myliobatiformes, Potamotrygonidae), in the upper Paran´a River, Brazil
Fig. 6. Morphology of Rhinebothrium paratrygoni. Morphology of scolex (A); Details of bothridium (B); Terminal mature proglottid (C); Cross-copulation between mature proglottids (D), and partial strobila (E). Abbreviations: B = bothridia; Cc = Cross-copulation; O = ovary, and S = scolex.).
Fig. 1 in Diversity and ecological relationships of Cestoda and Monogenoidea parasites of freshwater stingrays (Myliobatiformes, Potamotrygonidae), in the upper Paran´a River, Brazil
Fig. 1. Collection area for potamotrygonids and their parasites. (a) Highlight (red) of the upper Paran´a River system (Brazilian portion). (b) Collection sites (red triangles), S1 with three points and S2 with one point, in the upper Paran´a River, between the states of S˜ao Paulo and Mato Grosso do Sul, Brazil. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 7 in Diversity and ecological relationships of Cestoda and Monogenoidea parasites of freshwater stingrays (Myliobatiformes, Potamotrygonidae), in the upper Paran´a River, Brazil
Fig. 7. Morphology of Rhinebothroides glandularis. Morphology of scolex (A); partial strobila (B); Mature proglottid (C); Gravid proglottid (D). Abbreviations: B = bothridia; Gc = gland cells; O = ovary; S = scolex; T = testes, and U = uterus.
Fig. 5 in Diversity and ecological relationships of Cestoda and Monogenoidea parasites of freshwater stingrays (Myliobatiformes, Potamotrygonidae), in the upper Paran´a River, Brazil
Fig. 5. Morphology of Potamotrygonocotyle tsalickisi. Whole specimen (a); haptor (b and c), and male copulatory organ (d and e). Abbreviations: A = anchor; DhAsA = anterior dorsal haptoral accessory structure; DhAsP = posterior dorsal haptoral accessory structure; H = haptor; HCL = haptor central loculi; HPL = haptor peripheral loculi; HS = haptoral septa; MCo = male copulatory organ, and MCoA = male copulatory organ aperture.
Fig. 3 in Diversity and ecological relationships of Cestoda and Monogenoidea parasites of freshwater stingrays (Myliobatiformes, Potamotrygonidae), in the upper Paran´a River, Brazil
Fig. 3. Rarefaction and extrapolation of component community richness and meta-community richness of helminths species in potamotrygonids from the upper Parana´River. Sample-size-based diversity accumulation curves (with 95% confidence intervals of lower and upper limits) using hosts as unit of sampling and Hill numbers. Diversity metrics were species richness (0), Shannon Index (1) and Simpson Index (2) values.
Fig. 2 in Diversity and ecological relationships of Cestoda and Monogenoidea parasites of freshwater stingrays (Myliobatiformes, Potamotrygonidae), in the upper Paran´a River, Brazil
Fig. 2. Component community richness and meta-community richness of helminths species in potamotrygonids from the upper Paran´a River. Results of diversity t-test suggest a statistically significant difference between sites (S1 <S2, t = – 40.00; p = <0.001; d = 3.76; β = 0.99) and between host (Potamotrygon amandae <Potamotrygon falkneri, t = – 29.68; p = <0.001; d = 0.52; β = 0.21). Mean and Median values are indicated by black square and horizontal black line respectively.
Fig. 4 in Diversity and ecological relationships of Cestoda and Monogenoidea parasites of freshwater stingrays (Myliobatiformes, Potamotrygonidae), in the upper Paran´a River, Brazil
Fig. 4. Relationship of infracommunity abundance of helminths inferred by mixed generalized linear modeling (GLMM) in potamotrygonids of the upper Parana´River. Abundance vs. (a) disc length (DL), (b) gonadal developmental stages (immature = 0, early development = 1, advanced development = 2, mature = 3 and rest = 4), (c) condition factor and (d) sex (males or females) (e) Host species (i.e. Potamotrygon amandae or Potamotrygon falkneri). and collection sites (S1 or S2) are random variables.
Linked collectors and determiners for: Freshwater pelagic invertebrates ecological collection NTNU University Museum.
Natural history specimen data linked to collectors and determiners held within, "Freshwater pelagic invertebrates ecological collection NTNU University Museum". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/edd9b710-f3bb-4c49-9fa5-724cd4ecfc7d">https://bionomia.net/dataset/edd9b710-f3bb-4c49-9fa5-724cd4ecfc7d</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/edd9b710-f3bb-4c49-9fa5-724cd4ecfc7d">https://gbif.org/dataset/edd9b710-f3bb-4c49-9fa5-724cd4ecfc7d</a>. Formatted as a Frictionless Data package.
Fig. 3 a-h in Ecological characterization of habitats colonized by the freshwater gastropod Viviparus contectus (MILLET, 1813) (Gastropoda, Prosobranchia) - Theoretical and experimental data
Fig. 3 a-h: Logistic regression models of the single environmental variables for the presentation of eventual habitat preferences of V. contectus. For a validation of the models experimental data from diverse field studies were used (e.g., PATZNER & ISARCH 1999, STURM 2000a).
Fig. 1 in Ecological characterization of habitats colonized by the freshwater gastropod Viviparus contectus (MILLET, 1813) (Gastropoda, Prosobranchia) - Theoretical and experimental data
Fig. 1: Stereoscopic photographs showing the front and back of the shell of V. contectus with its typical shape and mouth geometry. The height of the shells measures about 4.5 cm.
Fig. 2 a-h in Ecological characterization of habitats colonized by the freshwater gastropod Viviparus contectus (MILLET, 1813) (Gastropoda, Prosobranchia) - Theoretical and experimental data
Fig. 2 a-h: Box-plots for the statistical evaluation of single environmental variables under incorporation of all malacological data available in the scientific literature and those data with occurrence of V. contectus, respectively. The black boxes range from the first to the third quartile, whereas the ends of the lines mark the minimum and the maximum of the data. The white line indicates the position of the median.
Dataset on Article: River ecological status is shaped by agricultural land use intensity across Europe: Establishing a typology of farming-driven freshwater impacts
<p>This repository contains raw data from the article "River ecological status is shaped by agricultural land use intensity across Europe: Establishing a typology of farming-driven freshwater impacts" which is currently under review.</p> <p>It contains data to allocate the pressures (<strong>Data_pressure_allocation.csv</strong>) and calculate the Pressure Index (<strong>Data_pressure_index.csv</strong>) for Table 1, and for the Spearman correlations for Figure 2 (<strong>Data_Spearman_correlations.csv</strong>).</p> <p> </p> <p>Also available is the Shapefile used for the different agricultural maps (Figure 1 and Figure S1-S4):</p> <p><strong>Shapefile Schürings_et_al._2023</strong> (Coordinate system: ETRS 1989 UTM Zone 32N)</p> <p><strong>Attribute description</strong></p> <p>Id - Identifier of polygons</p> <p>gridcode - Code of agricultural archetypes of Levers et al., (2018)</p> <p>M_ZHYD: Unique identifier of corresponding FEC</p> <p>mars_bt12: River types</p> <p>eco_stat_2: Ecological status</p> <p>Biogeoregi: Biogeographical Regions - AN = Northern and Highland, Temp = Temperate, Mediterranean = Mediterranean</p> <p>Cum_pressu: Agricultural pressure index</p> <p>Nitrogen: Agricultural nitrogen pressure</p> <p>Pesticides: Agricultural pesticide pressure</p> <p>Hydromorph: Agricultural hydromorphological pressure</p> <p>Water_abst: Agricultural water abstraction</p>
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OpenNeuro
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