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Dataset for Integrated Species Distribution Model for pikeperch larvae in the Porvoo-Sipoo archipelago
<p>This record contains the data required to run the code for fitting the Integrated Species Distribution Model described in <a href="https://arxiv.org/abs/2206.08817">arXiv:2206.08817 [stat.ME].</a></p> <h1>Files in this record</h1> <ul> <li><strong>transect_data.csv</strong> Line transect observations from Porvoo-Sipoo archipelago, Finland on June 2017.</li> <li><strong>expert_assessments.tif</strong> Rasterized, anonymous expert assessments. Categorical values denoting how likely a given location is to be a spawning location for pikeperch. 4 categories, with smaller values corresponding to higher probabilities.</li> <li><strong>covariate_raster_example.tif</strong> Rasterized example environmental covariate values. These are similarly structured as the covariate data used in the study and compatible with the analysis code. However, since we do not have the permission to release the original data set, these values are instead generated based on the projected planar coordinates such that they have roughly similar spatial gradients as the original covariates.</li> </ul> <h1>Detailed descriptions</h1> <h2>Transect data</h2> <h3>Location and replicate identifiers</h3> <ul> <li> <p><strong>id</strong> : transect identifier. Replicates of the same transect have the same identifier.</p> </li> <li> <p><strong>id2</strong> : alternate transect identifier, unique for each transect.</p> </li> <li> <p><strong>repeated</strong> : whether transect was replicated or not.</p> </li> <li> <p><strong>X_euref</strong> : easting coordinate, EUREF_FIN_TM35FIN, for the transect starting location in [meters]</p> </li> <li> <p><strong>Y_euref</strong> : northing coordinate, EUREF_FIN_TM35FIN, for the transect starting location in [meters]</p> </li> <li><strong>date</strong> : date of the measurement, DD/MM/YYYY</li> <li><strong>week</strong> : week number of the measurement date</li> </ul> <h3>In situ measurements</h3> <ul> <li> <p><strong>volume</strong> : Transect water volume [m^3]. Transect length (500m) multiplied by sampler surface area. Used as survey effort.</p> </li> <li> <p><strong>heading</strong> : compass heading (direction) for the transect, in [degrees].</p> </li> <li> <p><strong>SumKUHA</strong> : total pikeperch (<em>Sander lucioperca</em>, kuha in Finnish) larvae count in each transect [scalar]</p> </li> </ul> <h2>Expert assessments</h2> <p>The raster contains assessments from 10 local experts encoded as separate raster layers (Expert_1, Expert_2, ..., Expert_10). Raster resolution is 50m x 50m and the planar coordinates are based on the same coordinate reference system as the transect observations (UTM zone 35).</p> <p>The assessments are coded as integers with values between 1 and 4, with smaller values corresponding to higher probabilities.</p> <h2>Covariate raster example</h2> <p>This raster has the same spatial dimensions and uses the same coordinate reference system as the expert assessment raster and has three layers, one for each covariate. The covariate values are generated based on the spatial coordinates such that each covariate has similar spatial gradient as the original covariate. The covarites have the same names as in the original covariate data (<strong>dptLUKE</strong>, <strong>dist10m</strong> and <strong>lined3km</strong>).</p> <h1>Creators</h1> <p>Transect data collected and curated by Sanna Kuningas.</p> <p>Original covariate rasters curated by Sanna Kuningas from data sets collected by the Finnish Environment Institute and the Natural Resources Institute Finland.</p> <p>Expert assessments originally digitized and rasterized by Jussi Mäkinen. Additional refinement to assessment rasters by Karel Kaurila.</p> <p>Preparation for publishing on Zenodo for all of the data sets by Karel Kaurila.</p> <h2>Change log</h2> <ul> <li> 2025 Jan 31: Included columns <strong>date</strong> and <strong>week</strong> for <strong>transect_data.csv</strong>.</li> </ul>
Data from: Integrated SDM database: Enhancing the relevance and utility of species distribution models in conservation management
<p><span>1. Species' ranges are changing at accelerating rates. Species distribution models (SDMs) are powerful tools that help rangers and decision-makers prepare for reintroductions, range shifts, reductions, and/or expansions by predicting habitat suitability across landscapes. Yet, range-expanding or -shifting species in particular face other challenges that traditional SDM procedures cannot quantify, due to large differences between a species' currently-occupied range and potential future range. The realism of SDMs is thus lost and not as useful for conservation management in practice. Here, we address these challenges with an extended assessment of habitat suitability through an <i>integrated SDM database (iSDMdb)</i>.</span></p> <p><span>2. The<i> iSDMdb</i> is a spatial database of predicted sites in a species' prediction range, derived from SDM results, and is a single spatial feature that contains additional, user-friendly data fields that synthesise and summarise SDM predictions and uncertainty, human impacts, restoration features, novel preferences in novel spaces, and management priorities. To illustrate its utility<i>,</i> we used the endangered New Zealand sea lion (<i>Phocarctos hookeri</i>). We consulted with wildlife rangers, decision-makers, and sea lion experts to supplement SDM predictions with additional, more realistic, and applicable information for management. </span></p> <p><span>3. Almost half the data fields included in this database resulted from engaging with these end-users during our study. The SDM found 395 predicted sites. However, the <i>iSDMdb</i>'s additional assessments showed that the actual suitability of most sites (90%) was questionable due to human impacts. >50% of sites contained unnatural barriers (fences, grazing grasslands), and 75% of sites had roads located within the species' range of inland movement. Just 5% of the predicted sites were mostly (>80%) protected.</span></p> <p><span>4. Integrating SDM results with supplemental assessments provides a way to address SDM limitations, especially for range-expanding or -shifting species. SDM products for conservation applications have been critiqued for lacking transparency and interpretation support, and ineffectively communicating uncertainty. The <i>iSDMdb</i> addresses these issues and enhances the practical relevance and utility of SDMs for stakeholders, rangers, and decision-makers. We exemplify how to build an <i>iSDMdb</i> using open-source tools, and how to make diverse, complex assessments more accessible for end-users.</span></p>
Fig. 1 in A new species of Prionoglaris Enderlein (Psocodea: 'Psocoptera': Prionoglarididae) from an Armenian cave, with an account of the distribution of the genus
Fig. 1. Prionoglaris kapralovi sp. nov. (A) Habitus of male, dorsal view of holotype, in alcohol (body length 3.3 mm). (B) Habitus of female, lateral view of paratype, in alcohol (body length 4.1 mm). (C) Male terminalia, ventral view of holotype, in alcohol. Photographs by S. A. Kapralov.
Fig. 3 in A new species of Prionoglaris Enderlein (Psocodea: 'Psocoptera': Prionoglarididae) from an Armenian cave, with an account of the distribution of the genus
Fig. 3. Prionoglaris spp.: P. stygia males from Friouato Cave, Morocco (A-F), P. stygia male from Pierre à Perret Cave, Switzerland (G), P. stygia male from W of Atzeneta del Maestrat, Spain (H), P. stygia male from the type locality, Compagnaga Cave, French Pyrenees (I), P. dactyloides, male holotype (J), P. stygia female from Friouato Cave, Morocco (K-L), P. stygia female from the type locality, Compagnaga Cave, French Pyrenees (M). – (A) Phallosome, ventral view. (B) Anterior claw of hind pretarsus. (C) Posterior claw of hind pretarsus. (D) Left forewing. (E-J) Dorso-lateral appendages and medio-internal appendage of phallosome, not in situ (E same male as in A). (K-M) Spermapore sclerite and distal part of spermathecal duct (K and M ventral view; L optical longitudinal section, lateral view).
Fig. 2. Distribution maps. A in A revision of the Adenophorus Group and other glandular-leaved species of Croton (Euphorbiaceae) from northern Madagascar and Mayotte, including three new species
Fig. 2. Distribution maps. A. Croton nudatus Baill. (white), C. stanneus Baill. (yellow); B. Croton adenophorus Baill. (green) and C. tsiampiensis Leandri (white); C. Croton bathianus Leandri (light blue), C. loucoubensis Baill. (yellow), and Croton scoriarum Leandri (red); D. Croton orangeae Kainul. & Berry (red) and C. sahafariensis Kainul. & Berry (yellow); E. Croton mayottae P.E. Berry & Kainul. [Google Earth Image © 2017 DigitalGlobe. Reproduced per attribution guidelines]
Fig. 1. Maps showing nototanaid distributions. A in Nototanaids (Crustacea: Tanaidacea) from Japan, with the Description of a New Species of Nototanoides
Fig. 1. Maps showing nototanaid distributions. A, global distribution of nototanaids, including the sampling sites for Nototanoides ohtsukai sp. nov.; B, nototanaid records in Japan, with the sampling sites for Nototanoides ohtsukai sp. nov. Symbols: red diamonds, Nototanoides; green triangles, Nesotanais; blue circles, Nototanais; black circles (1–4), Gamboa, Birdotanais, Paranesotanais, and Stachyops, respectively.
Fig. 3 in Acoustic Discrimination Of Pipistrellus Kuhlii And Pipistrellus Nathusii (Chiroptera: Vespertilionidae) And Its Application To Assess Changes In Species Distribution
Fig. 3. Bar graph about the number of settlements where P. kuhlii and P. nathusii occurred or were absent in case of the two studied areas, from North and South Hungary
Fig. 2 in Acoustic Discrimination Of Pipistrellus Kuhlii And Pipistrellus Nathusii (Chiroptera: Vespertilionidae) And Its Application To Assess Changes In Species Distribution
Fig. 2. Occurrences of the two species in the two studied areas from North and South Hungary. (open circle = none of the species found, black square = P. nathusii, black triangle = P. kuhlii, black circle =
Fig. 1 in Acoustic Discrimination Of Pipistrellus Kuhlii And Pipistrellus Nathusii (Chiroptera: Vespertilionidae) And Its Application To Assess Changes In Species Distribution
Fig. 1. The distribution of the canonical scores between P. kuhlii and P. nathusii resulted from the discriminant function analysis based on 5 call parameters
Fig. 3 in Observations On Species Abundance Distribution In Fly Collections
Fig. 3. Frequency polygons of 2-moving averaged frequencies. X and Y refer to the artificial collection containing the first 46 319 individuals and the last 46 524 individuals in the combined collection
Fig. 4 in Observations On Species Abundance Distribution In Fly Collections
Fig. 4. Further frequency polygons of 2-moving averaged frequencies. A, B and C refer to artificial collections mentioned in the text. Details see at Fig. 1.
Fig. 2 in Observations On Species Abundance Distribution In Fly Collections
Fig. 2. Frequency polygons of 2-moving averaged frequencies relating to combined collections. The 2003–2004 polygon is shifted in the figure by two abundance classes to the right. Details see at Fig. 1.
Figure. 1 in Stoneflies (Plecoptera) of the Czech Republic: species checklist, distribution and protection status
Figure. 1. Map of the Czech Republic showing 8 districts based on main river basins. Published data are marked by circle, new unpublished data by × mark. Main mountains are marked by numbers, their Czech, English and German names are listed: 1 – Doupovské hory (Duppauer Gebirge) Mts., 2 – Slavkovský les Mts., 3 – Krušné hory (Ore/Erzgebirge) Mts., 4 – Jizerské hory (Isergebirge) Mts., 5 – Krkonoše (Giant/Riesengebirge) Mts., 6 – Orlické hory (Adlergebirge) Mts., 7 – Kralický Sněžník Mt.; 8 – Hrubý Jeseník (Altvatergebirge/Hohes Gesenke) Mts., 9 – Šumava (Bohemian Forest/Böhmerwald) Mts., 10 – Novohradské hory Mts., 11 – Českomoravská vrchovina (Böhmisch-Mährische Höhe), 12 – Moravskoslezské Beskydy Mts., 13 – Bílé Karpaty Mts.
Fig. 2 in New Distributional Records of Three Species of Euphylliidae (Cnidaria, Anthozoa, Hexacorallia, Scleractinia) from the Ryukyu Islands, Japan
Fig. 2. Corallum of Fimbriaphyllia species currently reported from the Ryukyu Islands, Japan, F. paraancora (A–D) and F. paradivisa (E–H). A, KAUM-CN-10, Tean, Amami-Oshima island, Kagoshima, Japan, depth of 32 m; B, CMNH-ZG09105, Tean, Amami-Oshima island, Kagoshima, Japan, depth of 35 m; C, CMNH-ZG 08523, Wase, Amami-Oshima island, Kagoshima, Japan, depth of 9 m; D, CMNH- ZG 07195, Ii-nanshi, Ogamijima island, Okinawa, Japan, depth of 10 m; E, KAUM-CN-11, Tean, Amami-Oshima island, Kagoshima, Japan, depth of 32 m; F, CMNH-ZG 09661, Tean, Amami-Oshima island, Kagoshima, Japan, depth of 32 m; G, KAUM-CN-12, Henoko, Okinawajima island, Okinawa, Japan, depth of 28 m; H, CMNH-ZG-09661, Henoko, Okinawajima island, Japan, depth of 28 m.
Fig. 1 in New Distributional Records of Three Species of Euphylliidae (Cnidaria, Anthozoa, Hexacorallia, Scleractinia) from the Ryukyu Islands, Japan
Fig. 1. Underwater appearance of living corals. A, in situ photograph of the colonies of Fimbriaphyllia paraancora (KAUM-CN-10) on the left and F.paradivisa (KAUM-CN-11) at Tean, Amami-Oshima island, Kagoshima, Japan, on 21 December 2017; B, an aggregation of F.paradivisa approximately 3–5 m in diameters on the muddy bottom in the usually turbid inner bay at a depth 28 m, Henoko, Okinawajima island, Okinawa, Japan, on 25 November 2010; C, extended polyps of F. paradivisa showing branching tentacles with spherical ends; D, extended polyps of F. paraancora showing tentacles with anchor-shaped tips; E, in situ photograph of Catalaphyllia jardinei (KAUM-CN-14) at Tean, Amami-Oshima island, Kagoshima, Japan, on 21 December 2017; F, polyps of C. jardinei showing small bubble-shaped tentacles at the edge of the oral disc.
Fig. 4 in New Distributional Records of Three Species of Euphylliidae (Cnidaria, Anthozoa, Hexacorallia, Scleractinia) from the Ryukyu Islands, Japan
Fig. 4. Specimens of Catalaphyllia jardinei preserved in the Smithsonian National Museum of Natural History (Photographs taken by Allison Becker) (USNM). A–B, corallite of USNM 1259568, collected at 52–55 m deep off Manza Horshoe Cliffs, Onna, Okinawajima island, Okinawa, Japan, on 21 December 1988, by Robert F. Bolland; C–D, corallite of USNM 94409, collected at 27 m deep off Nago City, Nago, Okinawajima island, Okinawa, Japan, on 21 February 1992, by R. F. Bolland.
Fig. 3 in New Distributional Records of Three Species of Euphylliidae (Cnidaria, Anthozoa, Hexacorallia, Scleractinia) from the Ryukyu Islands, Japan
Fig. 3. Corallum of Catalaphyllia jardinei currently reported from Amami-Oshima island, Japan. A, side view of the corallite of KAUM- CN-14; B, view from the top side of the corallite and the calice of KAUM-CN-14; C, side view of the corallite of CMNH-ZG 09662; D, view from the top side of the corallite and the calice of CMNH-ZG 0966 showing three-forked branching of the calice.
FIG. 4 in Presence of the foraminifer Chapmanina gassinensis Silvestri, 1931, in the Eocene (Lutetian) of the Grignon "falunière" (Yvelines, Paris Basin). The genus Chapmanina, its species and world distribution
FIG. 4. — Distribution of Chapmanina gassinensis Silvestri,1931 in the Oligocene of Europe. The numbers correspond to the references indicated in the Appendix 1.
FIG. 5 in Presence of the foraminifer Chapmanina gassinensis Silvestri, 1931, in the Eocene (Lutetian) of the Grignon "falunière" (Yvelines, Paris Basin). The genus Chapmanina, its species and world distribution
FIG. 5. — Distribution of Chapmanina Silvestri, 1931 in the Eocene of Asia. The numbers correspond to the references indicated in the Appendix 1.
FIG. 3 in Presence of the foraminifer Chapmanina gassinensis Silvestri, 1931, in the Eocene (Lutetian) of the Grignon "falunière" (Yvelines, Paris Basin). The genus Chapmanina, its species and world distribution
FIG. 3. — Distribution of Chapmanina gassinensis Silvestri, 1931 in the Eocene of Europe and North Africa. The numbers correspond to the references indicated in the Appendix 1.
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OpenNeuro
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