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35 results for “cave community”
eDNA metabarcoding as a means to assess distribution of subterranean fish communities: Iranian blind cave fishes as a case study
<p>One of the most important steps in conservation of the subterranean life forms is to decipher their distribution and ecology, which is challenging using traditional approaches. Development of an environmental DNA (eDNA) assay provides an efficient means for discovering and monitoring subterranean life forms. In this study, the distribution of three Iranian blind cave fish species (blind Iran cave barb <i>Garra typhlops</i>, blind Lorestan cave barb <i>Garra lorestanensis</i>, and blind cave loach <i>Eidinemacheilus smithi</i>) was assessed using <i>12S rRNA</i> gene eDNA metabarcoding performed using MiFish-U PCR primers and preliminary species distribution modelling (SDM) using bioclimatic data. The majority of sampling localities with positive detection of cave barb eDNA fall within suitable habitats in the Zagros Mountains of Iran. Our results revealed that Lorestan and Iran cave barbs have differential distribution patterns, with some extent of habitat overlap in the vicinity of the originally discovered cave barb locality. According to the observed distribution patterns, the blind Lorestan cave barb and cave loach<i> </i>are mostly distributed in habitats close to the Seazar River (Dez River drainage, Iran), and the blind Iran cave barb is distributed toward the west and probably in a few springs in the Karkheh River drainage. Our data support the previously proposed distribution pattern for the cave barbs, in which the species show partial niche separation and reproductive isolation, with the Lorestan cave barb being a water flow-dependent species and the Iran cave barb being a generalist species preferring variable flow rates. We showed eDNA metabarcoding to be a useful approach for ecological surveys of subterranean fish biodiversity with implications for conservation.</p>
Figure 5 from: Simões MH, Souza-Silva M, Ferreira RL (2015) Cave physical attributes influencing the structure of terrestrial invertebrate communities in Neotropics. Subterranean Biology 16: 103-121. https://doi.org/10.3897/subtbiol.16.5470
Figure 5 - Non-metric multidimensional scaling (Jaccard index) using presence and absence of species sampled in 55 limestone caves of the Brazilian Savannah. The figure shows that the cave, despite dry most of the year, is subject to seasonal flooding (Deus Me Livre cave), and then was more similar to caves with streams.
Figure 4 from: Simões MH, Souza-Silva M, Ferreira RL (2015) Cave physical attributes influencing the structure of terrestrial invertebrate communities in Neotropics. Subterranean Biology 16: 103-121. https://doi.org/10.3897/subtbiol.16.5470
Figure 4 - Correlation between the richness of troglomorphic species and linear development and water body presence/absence. The barr represents the average and the trace the standard deviation. Different letters indicate significant differences in average richness.
Figure 3 from: Simões MH, Souza-Silva M, Ferreira RL (2015) Cave physical attributes influencing the structure of terrestrial invertebrate communities in Neotropics. Subterranean Biology 16: 103-121. https://doi.org/10.3897/subtbiol.16.5470
Figure 3 - Correlation between total richness and width of entrances, linear development and water body presence/absence. The barr represents the average and the trace the standard deviation. Different letters indicate significant differences in average richness.
Figure 1 from: Simões MH, Souza-Silva M, Ferreira RL (2015) Cave physical attributes influencing the structure of terrestrial invertebrate communities in Neotropics. Subterranean Biology 16: 103-121. https://doi.org/10.3897/subtbiol.16.5470
Figure 1 - Cave distribution at Minas Gerais state, Brazil (black triangle), where terrestrial invertebrates were sampled.
Figure 4 from: Pellegrini TG, Ferreira RL (2016) Are inner cave communities more stable than entrance communities in Lapa Nova show cave? Subterranean Biology 20: 15-37. https://doi.org/10.3897/subtbiol.20.9334
Figure 4 - Multidimensional scaling (n-MDS) of sectors in entrance areas in April (A-black triangles), and sectors in deep areas of the cave in April (A-black circles), and sectors in entrance areas in September (S-white triangles), and sectors in deep areas of the cave in September (S-white circles), by the Bray-Curtis quantitative similarity index.
Figure 2 from: Pellegrini TG, Ferreira RL (2016) Are inner cave communities more stable than entrance communities in Lapa Nova show cave? Subterranean Biology 20: 15-37. https://doi.org/10.3897/subtbiol.20.9334
Figure 2 - A Passage in Lapa Nova Cave B, C, D, E Examples of troglomorphic species recorded in the Northwest region of the state of Minas Gerais, Brazil. B Collembola: Arrhopalitidae: Arrhopalites sp.1 C Collembola: Poduromorpha, Acherontides sp.1 D Araneae: Ochyroceratidae sp.1 and E Pseudoscorpiones: Chthoniidae, Pseudochthonius sp.1.
Figure 1 from: Pellegrini TG, Ferreira RL (2016) Are inner cave communities more stable than entrance communities in Lapa Nova show cave? Subterranean Biology 20: 15-37. https://doi.org/10.3897/subtbiol.20.9334
Figure 1 - Lapa Nova Show cave map depicting the sectors: green tones correspond to entrance areas; the other six colors correspond to deeper regions of the cave. Legend: (TH) Temperature measurement areas.
Figure 3 from: Pellegrini TG, Ferreira RL (2016) Are inner cave communities more stable than entrance communities in Lapa Nova show cave? Subterranean Biology 20: 15-37. https://doi.org/10.3897/subtbiol.20.9334
Figure 3 - Multidimensional scaling (n-MDS) of sectors collected in April (circles) and September (triangles) periods, by the Bray-Curtis quantitative similarity index.
Figure 3 from: Pellegrini TG, Sales LP, Aguiar P, Ferreira RL (2016) Linking spatial scale dependence of land-use descriptors and invertebrate cave community composition. Subterranean Biology 18: 17-38. https://doi.org/10.3897/subtbiol.18.8335
Figure 3 - Detailed figure of Gruta Helictites showing different land uses within the 50, 100 and 250 m buffers.
Figure 2 from: Pellegrini TG, Sales LP, Aguiar P, Ferreira RL (2016) Linking spatial scale dependence of land-use descriptors and invertebrate cave community composition. Subterranean Biology 18: 17-38. https://doi.org/10.3897/subtbiol.18.8335
Figure 2 - Study area location, sampling design used in sampled caves at "Parque Estadual do Sumidouro", and the Buffers of 50m, 100m, and 250m for analyzing the effect of spatial scale on the explanatory power of environmental variables in the cave invertebrate communities.
Figure 1 from: Pellegrini TG, Sales LP, Aguiar P, Ferreira RL (2016) Linking spatial scale dependence of land-use descriptors and invertebrate cave community composition. Subterranean Biology 18: 17-38. https://doi.org/10.3897/subtbiol.18.8335
Figure 1 - Spatial characterization of landscape at "Parque Estadual do Sumidouro". Different colors represent distinct vegetation cover or land-use types. The numbers indicate the sampled caves, indicated by name. Legend: 1 Gruta Ninho de Pérolas 2 Gruta Macaco das Cavernas 3 Lapa da Várzea 4 Gruta do Grilão 5 Gruta Helictites 6 Lapa das Pacas 7 Gruta do Sumidouro 8 Gruta Lagoa Seca 9 Gruta do Feneme 10 Gruta do Lixo.
eDNA metabarcoding as a means to assess distribution of subterranean fish communities: Iranian blind cave fishes as a case study
Open the record for dataset details and reuse information.
Figure 2 from: Simões MH, Souza-Silva M, Ferreira RL (2015) Cave physical attributes influencing the structure of terrestrial invertebrate communities in Neotropics. Subterranean Biology 16: 103-121. https://doi.org/10.3897/subtbiol.16.5470
Figure 2 - List of sampled higher taxa and their species richness.
Eq 1 from: Pellegrini TG, Sales LP, Aguiar P, Ferreira RL (2016) Linking spatial scale dependence of land-use descriptors and invertebrate cave community composition. Subterranean Biology 18: 17-38. https://doi.org/10.3897/subtbiol.18.8335
Eq 1 -
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