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98 results for “Malaise”
Linked collectors and determiners for: Swedish Malaise Trap Project (SMTP) - Netelia.
Natural history specimen data linked to collectors and determiners held within, "Swedish Malaise Trap Project (SMTP) - Netelia". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/25b774ab-600b-4fa7-9ff3-0fdf6cd0c09a">https://bionomia.net/dataset/25b774ab-600b-4fa7-9ff3-0fdf6cd0c09a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/25b774ab-600b-4fa7-9ff3-0fdf6cd0c09a">https://gbif.org/dataset/25b774ab-600b-4fa7-9ff3-0fdf6cd0c09a</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Swedish Malaise Trap Project (SMTP) - Dolichopodidae.
Natural history specimen data linked to collectors and determiners held within, "Swedish Malaise Trap Project (SMTP) - Dolichopodidae". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/2d6e8496-2337-42f7-91e8-89fba6bc1e69">https://bionomia.net/dataset/2d6e8496-2337-42f7-91e8-89fba6bc1e69</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/2d6e8496-2337-42f7-91e8-89fba6bc1e69">https://gbif.org/dataset/2d6e8496-2337-42f7-91e8-89fba6bc1e69</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Swedish Malaise Trap Project (SMTP) - Omphale.
Natural history specimen data linked to collectors and determiners held within, "Swedish Malaise Trap Project (SMTP) - Omphale". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/68c73384-cdb9-44da-8305-6fa63a05200a">https://bionomia.net/dataset/68c73384-cdb9-44da-8305-6fa63a05200a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/68c73384-cdb9-44da-8305-6fa63a05200a">https://gbif.org/dataset/68c73384-cdb9-44da-8305-6fa63a05200a</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Swedish Malaise Trap Project (SMTP) - Dixidae.
Natural history specimen data linked to collectors and determiners held within, "Swedish Malaise Trap Project (SMTP) - Dixidae". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/22df6733-ec71-4ccf-91f4-34465e193591">https://bionomia.net/dataset/22df6733-ec71-4ccf-91f4-34465e193591</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/22df6733-ec71-4ccf-91f4-34465e193591">https://gbif.org/dataset/22df6733-ec71-4ccf-91f4-34465e193591</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Swedish Malaise Trap Project (SMTP) - Dryinidae, Embolemidae.
Natural history specimen data linked to collectors and determiners held within, "Swedish Malaise Trap Project (SMTP) - Dryinidae, Embolemidae". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/0294ccfd-ff43-4bbd-a8de-e1bf9a91e79a">https://bionomia.net/dataset/0294ccfd-ff43-4bbd-a8de-e1bf9a91e79a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/0294ccfd-ff43-4bbd-a8de-e1bf9a91e79a">https://gbif.org/dataset/0294ccfd-ff43-4bbd-a8de-e1bf9a91e79a</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Insectos recolectados en trampas Malaise en el departamento de Antioquia - Proyecto Colombia Bio.
Natural history specimen data linked to collectors and determiners held within, "Insectos recolectados en trampas Malaise en el departamento de Antioquia - Proyecto Colombia Bio". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/b43bf4c6-5aa7-4584-b246-24588d3d9d4c">https://bionomia.net/dataset/b43bf4c6-5aa7-4584-b246-24588d3d9d4c</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/b43bf4c6-5aa7-4584-b246-24588d3d9d4c">https://gbif.org/dataset/b43bf4c6-5aa7-4584-b246-24588d3d9d4c</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Review of Quedius (Coleoptera, Staphylinidae) described from the 1934 expedition by R. Malaise to Myanmar.
Natural history specimen data linked to collectors and determiners held within, "Review of Quedius (Coleoptera, Staphylinidae) described from the 1934 expedition by R. Malaise to Myanmar". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/7f562ba5-17db-46bf-93e8-4d1ba49c2800">https://bionomia.net/dataset/7f562ba5-17db-46bf-93e8-4d1ba49c2800</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/7f562ba5-17db-46bf-93e8-4d1ba49c2800">https://gbif.org/dataset/7f562ba5-17db-46bf-93e8-4d1ba49c2800</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Select Insect Specimens from Malaise Traps in Orleans County, Vermont, USA.
Natural history specimen data linked to collectors and determiners held within, "Select Insect Specimens from Malaise Traps in Orleans County, Vermont, USA". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/30968d94-12c8-48d6-9cc7-1a407f4c5e1b">https://bionomia.net/dataset/30968d94-12c8-48d6-9cc7-1a407f4c5e1b</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/30968d94-12c8-48d6-9cc7-1a407f4c5e1b">https://gbif.org/dataset/30968d94-12c8-48d6-9cc7-1a407f4c5e1b</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Tejidos de insectos recolectados en trampas Malaise en los departamentos de Santander, Antioquia y Vichada - Proyecto Colombia Bio.
Natural history specimen data linked to collectors and determiners held within, "Tejidos de insectos recolectados en trampas Malaise en los departamentos de Santander, Antioquia y Vichada - Proyecto Colombia Bio". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/057f132f-d5d3-4b92-b094-f46adab4c29e">https://bionomia.net/dataset/057f132f-d5d3-4b92-b094-f46adab4c29e</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/057f132f-d5d3-4b92-b094-f46adab4c29e">https://gbif.org/dataset/057f132f-d5d3-4b92-b094-f46adab4c29e</a>. Formatted as a Frictionless Data package.
Fig. 5. A in Review of Quedius (Coleoptera, Staphylinidae) described from the 1934 expedition by R. Malaise to Myanmar
Fig. 5. A. Malaisdius ruficeps (Scheerpeltz, 1965), dorsal abdomen. B. M. smetanai gen. et sp. nov., dorsal abdomen. C–E. Quedius (Microsaurus) rutilipennis Scheerpeltz, 1965. C. Antenna. D. Pronotum (white arrow: marginal punctures removed from marginal bead; black arrow: anterior angles with marginal bead entirely visible in dorsal view). E. Elytra and basal abdomen. F. Q. (M.) masasatoi Smetana, 2007, pronotum (arrows indicating punctures of the dorsal row). Abbreviation: Pf = posterior frontal puncture. Scale bars: A–B, D–E = 1 mm; C, F = 0.5 mm.
Fig. 2. A–E. Dorsal habitus. A in Review of Quedius (Coleoptera, Staphylinidae) described from the 1934 expedition by R. Malaise to Myanmar
Fig. 2. A–E. Dorsal habitus. A. Malaisdius ruficeps (Scheerpeltz, 1965), ♂, paratype (NHW). B. Malaisdius smetanai gen. et. sp. nov., ♂, holotype (NME). C. Quedius (Microsaurus) rutilipennis Scheerpeltz, 1965, ♂, holotype (NHRS). D. Q. (M.) piceolineatus Scheerpeltz, 1965, ♂ holotype (NHRS). E. Q. (M.) impressithorax Scheerpeltz, 1965, ♀ holotype (NHRS). F. Forebody of Q. (M.) impressithorax Scheerpeltz, 1965. Abbreviation: Pf = posterior frontal puncture. Scale bars = 1 mm.
Fig. 1 in Review of Quedius (Coleoptera, Staphylinidae) described from the 1934 expedition by R. Malaise to Myanmar
Fig. 1. Habitus of Indoquedius described by Scheerpeltz (1965). A. I. malaisei, ♂, holotype (NHRS). B. I. micantiventris, ♂, holotype (NHRS). C. I. dispersepunctatus, ♀, holotype (NHRS). D. I. parallelicollis, ♀, paratype (NHW). E. I. sanguinipennis syn. nov. (= I. parallelicollis), ♀, holotype (NHRS). F. I. recticollis, ♀, holotype (NHRS). Scale bars = 1 mm.
Fig. 4. A–B in Review of Quedius (Coleoptera, Staphylinidae) described from the 1934 expedition by R. Malaise to Myanmar
Fig. 4. A–B. Indoquedius dispersepunctatus (Scheerpeltz, 1965). A. Elytra. B. Dorsal abdomen. C–D. I. recticollis (Scheerpeltz, 1965). C. Elytra. D. Dorsal abdomen. E–F. Malaisdius smetanai gen. et sp. nov. E. Head. F. Elytra. Abbreviations: Af = anterior frontal puncture; b = basal puncture; pf = posterior frontal puncture; sa = supraantennal puncture. Scale bars = 1 mm.
Fig. 3. Dorsal habitus. A in Review of Quedius (Coleoptera, Staphylinidae) described from the 1934 expedition by R. Malaise to Myanmar
Fig. 3. Dorsal habitus. A. Quedius (Raphirus) semilaeviventris Scheerpeltz, 1965, holotype, ♂ (NHRS). B. Q. (R.) kambaitiensis Scheerpeltz, 1965 syn. nov. (= Q. (R.) muscicola Cameron, 1932), ♀, holotype (NHRS). Scale bars = 1 mm.
Fig. 7. Female tergite X. A in Review of Quedius (Coleoptera, Staphylinidae) described from the 1934 expedition by R. Malaise to Myanmar
Fig. 7. Female tergite X. A. Indoquedius dispersepunctatus (Scheerpeltz, 1965). B. I. parallelicollis (Scheerpeltz, 1965). C. I. recticollis (Scheerpeltz, 1965). D. Malaisdius ruficeps (Scheerpeltz, 1965). E. Quedius (Microsaurus) rutilipennis Scheerpeltz, 1965. F. Q. (M.) impressithorax Scheerpeltz, 1965. Scale bars = 0.1 mm.
Fig. 6. A, F, H–I, K–L in Review of Quedius (Coleoptera, Staphylinidae) described from the 1934 expedition by R. Malaise to Myanmar
Fig. 6. A, F, H–I, K–L. Aedeagus, in situ. A, F, H, K. Ventral view (inset showing paired teeth). I, L. Lateral view. B–D. Median lobe. B. Ventral view. C–D. Lateral view. E, G, J, M. Underside of paramere. A–E. Malaisdius ruficeps (Scheerpeltz, 1965). F–G. M. smetanai gen. et sp. nov. H–J. Quedius (Microsaurus) piceolineatus Scheerpeltz, 1965. K–M. Q. (M.) masasatoi Smetana, 2007. Scale bars: A–D, F, H–I, K–L = 0.5 mm; E, G, J, M = 0.1 mm.
Malaise-trap metabarcoding dataset from temperate-zone forest Oregon, USA
<p>DNA-based biodiversity surveys involve collecting physical samples from survey sites and assaying the contents in the laboratory to detect species via their diagnostic DNA sequences. DNA-based surveys are increasingly being adopted for biodiversity monitoring and decision-making. The most commonly employed method is metabarcoding, which combines PCR with high-throughput DNA sequencing to amplify and then read `DNA barcode' sequences. This process generates count data indicating the number of times each DNA barcode was read. However, DNA-based data are noisy and error-prone, with several sources of variation. In this paper, we present a unifying modelling framework for DNA-based survey data, <strong>eDNAPlus</strong>, for the first time simultaneously allowing for key sources of variation, error and noise in the data-generating process. As we discuss, metabarcoding data alone cannot be used to estimate the species-specific amount of DNA present, or DNA concentration, at surveyed sites. Instead, we estimate changes in DNA biomass within species, across sites, and link those changes to environmental covariates, while accounting for between-species and between-sites correlation. Inference is performed using MCMC, where we employ Gibbs or Metropolis-Hastings updates with Laplace approximations. We further implement a re-parameterisation scheme, appropriate for crossed-effects models, leading to improved mixing, and an adaptive approach for updating latent variables, which reduces computation time. We discuss study design and present theoretical and simulation results to guide decisions on replication at different survey stages and on the use of quality control methods. Finally, we demonstrate the new framework on a dataset of Malaise-trap samples. Specifically, we quantify the effects of elevation and distance-to-road on each species, infer species correlations, and produce maps identifying areas of high biodiversity and species DNA biomass, which can be used to rank areas by conservation value. We also estimate the level of noise between sites and within sample replicates, and the probabilities of error at the PCR stage, which are found to be close to zero for most species considered, validating the employed laboratory processing.</p>
Malaise-trap metabarcoding dataset from temperate-zone forest Oregon, USA
Open the record for dataset details and reuse information.
Light and malaise traps tell different stories about the spatial variations in arthropod biomass and method-specific insect abundance
<p><span>1. Conclusions reached in meta-analyses of changes in insect communities may be influenced by method-specific sampling biases, which may lead to inappropriate conservation measures.</span></p> <p><span>2. </span><span>We argue that the contradictory conclusions regarding terrestrial insect biomass, abundance and richness patterns are, at least partly, due to methodological limitations that reflect taxon-specific responses to environmental changes.</span></p> <p><span>3. </span><span>In this study, light and Malaise traps were simultaneously deployed to sample insects at 52 plots in a temperate forest in Germany along gradients of elevation (> 1000 m) and canopy openness (3 - 100 %). These gradients were used as predictors in models of total arthropod biomass according to the two trapping methods, and in models of abundance and richness of three commonly targeted groups: nocturnal moths, sampled using light traps, and hoverflies and bees, collected with Malaise traps.</span></p> <p><span>4. </span><span>A comparison of the total arthropod biomass obtained with the two methods revealed contrary results along the canopy openness gradient. Biomass in light traps showed a decreasing trend with increasing canopy openness while biomass in Malaise traps increased. The same opposing pattern was found for the abundance of selected taxa.</span></p> <p><span>5. </span><span>The different patterns describing spatial variation of arthropod communities obtained using light and Malaise traps can be explained by differences in the taxa predominantly collected. Regarding the ongoing debate on insect decline, our results demonstrate that comparing different taxa from different taxon-specific traps is inappropriate. Thus, we recommend that future meta-analyses take into account the sampling methods and taxon-specific responses to environmental changes.</span></p>
Uganda Malaise trapping 2014–2015 Rhyssinae ecology data
<p>This dataset contains the data and analyses of our <a href="https://doi.org/10.1098/rsos.190913">paper</a> on the ecology of Ugandan Rhyssinae. We collected rhyssines by Malaise trapping in tropical forest in Kibale National Park 2014–2015. The dataset contains background data such as weather and vegetation around the traps, data on the 447 rhyssines caught, the figures in the paper, and the script used to analyse the data.</p> <p><br> The script (2 Rhyssinae ecology.R) will usually be of the greatest interest. It contains the R code used to explore and analyse the data, and to create the figures in the paper.</p>
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