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56 results for “alien species, species distribution”
SInAS: A global dataset of native and alien distributions of alien species
<p>The SInAS dataset represents a collection of regional lists of alien (also called non-native or non-indigenous) species and includes information about their native ranges, alien ranges, invasion status for alien ranges, habitats and year of first record. This dataset has been generated by standardising and integrating large global databases of alien species occurrences using the SInAS workflow version 2.0. </p> <p>The SInAS dataset is described in more detail in the following scientific article, which need to be cited when using this dataset:</p> <p>Gómez-Suárez, M., Laeseke, P., and Seebens, H. (submitted) A global dataset of native and alien distributions of alien species </p> <p>The code to generate the dataset is stored on Github (https://github.com/hseebens/SInAS) with releases available on Zenodo (https://doi.org/10.5281/zenodo.3763221).</p>
Belgian baseline distribution of invasive alien species of Union concern (Regulation (EU) 1143/2014)
<p><strong>Aims and scope</strong></p> <p>The European Alien Species Information Network team (EASIN, http://easin.jrc.ec.europa.eu) of the Joint Research Centre (JRC) requests the European member states to provide and verify the baseline distribution data of invasive alien species of Union Concern (Tsiamis et al. 2017) as provided by the EASIN mapping system (Katsanevakis et al. 2012). These are species with documented biodiversity impacts sensu the European Union Regulation on the prevention and management of the introduction and spread of Invasive Alien Species in Europe (IAS Regulation No 1143/2014) (European Union 2014). The purpose of this baseline is to set a representative geographic account of the distribution of these species at (i) country and (ii) 10km<sup>2</sup> grid level before the entry into force of the Regulation (and the listing of species through implementing regulations). This distribution provides the baseline for subsequent reporting by the member states as required by the IAS Regulation.</p> <p>The dataset provides a shapefile on the baseline distribution of the invasive species of EU concern in Belgium based on an aggregated dataset (<em>ias_belgium_t0_xxxx</em>). Data were compiled from various datasets holding invasive species observations such as data from research institutes and research projects (76%), citizen science observatories (23%) and a range of other sources (1%) such as governmental agencies, water managers, invasive species control companies, angling and hunting organizations etc. Data were normalized using a custom mapping of the original data files to Darwin Core (Wieczorek et al. 2012) where possible. Species names were mapped to the GBIF Backbone Taxonomy (GBIF 2016) using the species API (http://www.gbif.org/developer/species). Appropriate selection of records was performed based on predefined cut-off dates (see data range) and record content validation (see validation procedure). Data were then joined with GRID10k layer Belgium based on GRID10k cellcodes (ETRS_1989_LAEA).</p> <p><strong>File description</strong></p> <p>The dataset contains two types of data:</p> <ol> <li> <p>Shapefiles (<em>ias_belgium_t0_2016.zip, ias_belgium_t0_2018.zip, ias_belgium_t0_2020.zip and ias_belgium_t0_2023.zip</em>) providing the presence of the species of EU concern at 10km<sup>2</sup> (European Terrestrial Reference System projection - 1989 ETRS_1989_LAEA) level (resp. for 1st, 2nd, 3rd and 4th batch of species added to the Union List). The attributes table field “ACCEPTED” provides coded information on the distribution validation: correct squares (Y) represent data overlapping between the collated baseline data for Belgium and the EASIN maps. Incorrect data (N) can represent records mapped on wrong 10km2 squares, non-validated records or records that fall outside of the date range applied. New squares (New) represent previously unpublished data that were absent from EASIN. The work was supervised and validated by the Belgian national scientific council on invasive alien species, an official consultative structure coordinating scientific input and data aggregation between Belgian regions and institutions with regards to technical implementation of the Regulation No 1143/2014 on invasive alien species.</p> </li> <li> <p>A geojson version of the same shapefiles (<em>ias_belgium_t0_2016.geojson, ias_belgium_t0_2018.geojson, ias_belgium_t0_2020.geojson, ias_belgium_t0_2023.geojson</em>), in WGS84 projection.</p> </li> </ol> <p><strong>Date range</strong></p> <p>The baseline distribution reflects the current status and situation of the IAS of Union concern in Belgium at 10km<sup>2</sup> grid level. Historical records were not taken into consideration for the baseline. The choice of cut-off date was based on an analysis of the relative contribution of a year in defining the total distribution of the species at 1km<sup>2</sup> grid level (calculated as [the sum of unique UTM 1km<sup>2</sup> grid squares year-1/total number of unique UTM 1km<sup>2</sup> grid squares for that species]) based on the complete dataset. </p> <p>The dataset comprises observations of Union List invasive species <strong>from 2000 <em>until the entry into force </em>for every species</strong>, hence between January 2000 (2000-01-01) and February 2016 (2016-01-31) for the species of the first batch (<em>ias_belgium_t0_2016.zip</em>), between January 2000 (2000-01-01) and August 2017 (2017-08-31) for the species of the first update of the Union List (<em>ias_belgium_t0_2018.zip</em>), between January 2000 (2000-01-01) and August 2019 (2019-08-31) for the species of the second update of the Union List (<em>ias_belgium_t0_2020.zip</em>), between January 2000 (2000-01-01) and August 2022 (2022-08-2) for the species of the third update (<em>ias_belgium_t0_2023.zip</em>). For raccoon dog (<em>Nyctereutes procyonoides), </em>included in the second update (<em>ias_belgium_t0_2020.zip</em>) the date cut-off is 01/01/2000 to 31/01/2019. Note that <em>Pistia stratiotes</em>, <em>Xenopus laevis </em>and <em>Fundulus heteroclitus </em>enter into force only as from 2 August 2024, <em>Celastrus orbiculatus </em>on 2 August 2027 because of prolonged transitionary measures. However, these species are already included in the baseline now with a cut-off date set on August 2022. The data include both casual records as well as established populations and also comprise data from eradicated populations for the period 2000-2022.</p> <p><strong>Validation procedure</strong></p> <p>Record validation was performed to exclude dubious records, wrong identifications etc. This was done based on the IdentificationVerificationStatus field (to which validation information from original data were mapped) if available. In general, non-validated data were not considered for ias_belgium_t0_xxxx. Data were validated in the original datasets based on evidence (e.g. pictures), on the observer’s experience, or based on a set of predefined rules (e.g. automated validation based on geographic filtering). Data from research institutes were generally considered validated. A few casual records of EU list species that were clearly planted were discarded manually. When the original dataset did not mention any validation status, records were not considered validated and therefore not taken into account for ias_belgium_t0_xxxx, unless for Chinese mitten crab <em>Eriocheir sinensis</em>, ruddy duck <em>Oxyura jamaicensis</em>, raccoon <em>Procyon lotor</em>, Siberian ground squirrel <em>Tamias sibiricus</em>, sacred ibis <em>Threskiornis aethiopicus</em>, and red-eared slider <em>Trachemys spp</em>. For these species, we assumed all records were correct as they originate from dedicated sampling (<em>E. sinensis</em>) within research projects or represent species that are readily recognizable by people in the field. Likewise, for the second batch species, all records of Egyptian goose <em>Alopochen aegyptiaca, </em>Himalayan balsam <em>Impatiens glandulifera</em>, giant hogweed <em>Heracleum mantegazzianum </em>and muskrat <em>Ondatra zibethicus</em> (mostly derived from public eradication services) were considered validated and taken into account. For the third batch species, records of the widespread tree of heaven <em>Ailanthus altissima </em>and pumpkinseed <em>Lepomis gibbosus </em>were also considered validated. For species with less than 10 records (<em>Salvinia molesta</em>, <em>Acridotheres tristis</em>), every record was manually checked.</p> <p>A visual check was performed on the resulting distribution maps by representatives of the Belgian scientific council on IAS and the Belgian Comittee on IAS, two official bodies created in response to the EU Regulation within the framework of a cooperation agreement between the Belgian regions and the Federal Authority. Data in the distribution maps provided by EASIN but not present in ias_belgium_t0_xxxx were carefully checked and kept/rejected accordingly.</p> <p><strong>Data providers</strong></p> <p>The providers of the invasive species data for this exercise (individuals and their respective organizations) are listed in the "data providers" section of the dataset metadata. Much of the primary occurrence data that formed the basis for this aggregated dataset will be published as open data on the Global Biodiversity Information Facility (GBIF) within the framework of the <strong>Tracking Invasive Alien Species project (TrIAS, https://osf.io/7dpgr/, 2017-2020)</strong>.</p>
Distribution of invasive alien species of Union concern (Regulation (EU) 1143/2014) in Belgium for the reporting period 2015-2018
<p><strong>Aims and scope</strong></p> <p>Member State authorities are required to report on the distribution in their territory of each of the invasive alien species (IAS) of Union concern. These are species with documented biodiversity impacts sensu the European Union Regulation on the prevention and management of the introduction and spread of Invasive Alien Species in Europe (IAS Regulation No 1143/2014) (European Union 2014). This distribution represents the official reporting under Article 24(1) of R.1143/2014 on invasive alien species for the period 2015–2018. Baseline distribution of these species has previously been reported and published (Adriaens et al. 2018, ).</p> <p>Data were compiled from various datasets holding invasive species observations such as data from research institutes and research projects (9%), citizen science observatories (68%) and a range of other sources (23%) such as governmental agencies, water managers etc. More specifically the dataset includes:</p> <ul> <li>The citizen science recording portals www.waarnemingen.be and www.observation.be which has a specific alert system for IAS where nature volunteers can report their observations (Adriaens et al. 2018);</li> <li>Data from the Research Institute for Nature and Forest (INBO), the Flemish government institute that coordinates N2000, WFD and BIrd Directive and IAS monitoring in the terrestrial, estuarine and freshwater environment;</li> <li>Data from the Flemish Environment Agency which performs management of muskrat and invasive water plants in Flanders, gathered with a dedicated smartphone app since 2015;</li> <li>Data from the Flemish provinces and Rato vzw that manage water plants, muskrat, giant hogweed etc.;</li> <li>Some smaller datasets from cities;</li> <li>Data from the Brussels Capital Region from the Brussels Environment data portal;</li> <li>Plant inventories of the ‘contrats de rivière’ along watercourses in Wallonia, making use of a dedicated application to collect data directly from the field (fulcrum);</li> <li>The government reporting portals for IAS of the ‘Observatoire wallon de la flore, de la faune et des habitats (Service Public de Wallonie)’;</li> <li>Some validated data from specific datasets on gbif (iNaturalist, Natusfera, Naturgucker).</li> </ul> <p>Data were normalized using a custom mapping of the original data files to Darwin Core (Wieczorek et al. 2012) where possible. Species names were mapped to the GBIF Backbone Taxonomy (GBIF 2016) using the species API (http://www.gbif.org/developer/species). The mapping was assisted by dedicated software (SMARTIE) which was specifically written for the purpose of aggregating IAS data from various sources. Appropriate selection of records was performed based on the cut-off dates (see data range) and record content validation (see validation procedure). Data were then joined with GRID10k layer Belgium based on GRID10k cellcodes (ETRS_1989_LAEA). The technical format is in line with the <a href="http://cdr.eionet.europa.eu/help/ias_regulation/material/IAS-species-distribution-user-manual">guidelines</a> provided to the member states for the compilation of reports on Species Distribution (SD) of Invasive Alien Species of Union concern.</p> <p><strong>File description</strong></p> <p>The dataset contains a shapefiles (<em>T1_Belgium_Union_List_Species.shp</em>) with the distribution of the species of Union Concern at 10km<sup>2</sup> (European Terrestrial Reference System projection - 1989 ETRS_1989_LAEA) level. The attributes table contains <em>Cellcode </em>(ETRS<sup> </sup>grid cell code) and <em>Species </em>(scientific name + authority).</p> <p><strong>Date range</strong></p> <p>The data reflects the distribution of the IAS of Union concern in Belgium in the first reporting period for the EU Regulation hence comprises observations of Union List invasive species between January 2015 (2015-01-01) and December 2018 (2018-12-31). </p> <p><strong>Validation procedure</strong></p> <p>Record validation was performed to exclude dubious records, wrong identifications etc. This was done based on the IdentificationVerificationStatus field (to which validation information from original data were mapped) if available. In general, non-validated data were not considered. Data were validated in the original datasets based on evidence (e.g. pictures), on the observer’s experience, or based on a set of predefined rules (e.g. automated validation based on geographic filtering). Data from research institutes were generally considered validated. A few casual records of EU list species that were clearly planted were discarded manually. When the original dataset did not mention any validation status, records were not considered validated and therefore not taken into account unless for Chinese mitten crab <em>Eriocheir sinensis</em>, ruddy duck <em>Oxyura jamaicensis</em>, raccoon <em>Procyon lotor</em>, Siberian ground squirrel <em>Tamias sibiricus</em>, sacred ibis <em>Threskiornis aethiopicus</em>, Egyptian goose <em>Alopochen aegyptiaca, </em>Himalayan balsam <em>Impatiens glandulifera</em>, giant hogweed <em>Heracleum mantegazzianum, </em>muskrat <em>Ondatra zibethicus </em>and red-eared slider <em>Trachemys spp</em>. For these species, it was assumed all records were correct as they originate from dedicated sampling (<em>E. sinensis</em>) within research projects, were gathered by public bodies (e.g. muskrat), or represent species that are readily recognizable by people in the field. Data provided by EASIN in the care package and GBIF data were carefully checked.</p> <p>A visual check was performed on the resulting distribution maps by representatives of the Belgian national scientific council on invasive alien species, an official consultative structure coordinating scientific input and data aggregation between Belgian regions and institutions with regards to technical implementation of the Regulation No 1143/2014 on invasive alien species.</p> <p><strong>Data providers</strong></p> <p>The providers of the invasive species data for this exercise (individuals and their respective organizations) are listed in the "data providers" section of the dataset metadata. Much of the primary occurrence data that formed the basis for this aggregated dataset will be published as open data on the Global Biodiversity Information Facility (GBIF).</p>
Fig. 4 in Native Bugseed Species Corispermum Intermedium Schweigg And Alien Corispermum Pallasii Steven In Coastal Habitats Of Latvia - New Knowledges Of Distribution And Invasions
Fig. 4. Annual pioneer vegetation with Corispermum pallasii on dune habitats in Mērsrags, Latvia (Photo: P. Evarts-Bunders).
Fig. 1 in Native Bugseed Species Corispermum Intermedium Schweigg And Alien Corispermum Pallasii Steven In Coastal Habitats Of Latvia - New Knowledges Of Distribution And Invasions
Fig. 1. Locations of transects in coastal habitats in the whole seashore of Latvia (Explanation of transects numbers see Table 1).
Fig. 3 in Native Bugseed Species Corispermum Intermedium Schweigg And Alien Corispermum Pallasii Steven In Coastal Habitats Of Latvia - New Knowledges Of Distribution And Invasions
Fig. 3. Distribution of Corispermum intermedium Schweigg (left) and C. pallasiii Steven (right) in Latvia (1st row – localities known till 1940; 2nd row – localities known 1940 – 1990; 3rd row - localities known or verified since 1990).
Figure 4 in First DNA barcoding of a new alien species Glycaspis brimblecombei Moore, 1964 (Hemiptera: Aphalaridae) in Croatia with a distribution note
Figure 4. Neighbor-joining phylogenetic tree constructed by sequences of the mtCOI-3P of Glycaspis brimblecombei Lokrum, Croatia of Glycaspis species from BOLD and GenBank databases, based on Kimura-2-parameter distance model. Numbers at nodes are NJ bootstrap support values calculated from 2000 bootstrap replicates.
Figure 1 in First DNA barcoding of a new alien species Glycaspis brimblecombei Moore, 1964 (Hemiptera: Aphalaridae) in Croatia with a distribution note
Figure 1. Distribution of species Glycaspis brimblecombei. A. Spread of the species G. brimblecombei. The coloration of the lines shows the spread of the species in the temporal scale (excluding localities for which the year of occurrence of the species is not known), B. and C. Location of sampling – Botanical Garden of the Institute for Marine and Coastal Research on the island of Lokrum.
Figure 3 in First DNA barcoding of a new alien species Glycaspis brimblecombei Moore, 1964 (Hemiptera: Aphalaridae) in Croatia with a distribution note
Figure 3. Developmental stages of Glycaspis brimblecombei: A. lerps, nymphs and egg cluster, B. adult (scale: 1 mm).
Data from: Climate oscillation and alien species invasion influences oceanic seabird distribution
Spatial and temporal distribution of seabird transiting and foraging at sea is an important consideration for marine conservation planning. Using at-sea observations of seabirds (n = 317), collected during the breeding season from 2012 to 2016, we built boosted regression tree (BRT) models to identify relationships between numerically dominant seabird species (red-footed booby, brown noddy, white tern and wedge-tailed shearwater), geomorphology, oceanographic variability, and climate oscillation in the Chagos Archipelago. We documented positive relationships between red-footed booby and wedge-tailed shearwater abundance with the strength in the Indian Ocean Dipole, as represented by the Dipole Mode Index (6.7% and 23.7% contribution respectively). The abundance of red-footed boobies, brown noddies and white terns declined abruptly with greater distance to island (17.6%, 34.1% and 41.1% contribution respectively). We further quantified the effects of proximity to rat-free and rat-invaded islands on seabird distribution at sea, and identify breaking point distribution thresholds. We identified areas of increased abundance at sea and habitat use-age under a scenario where rats are eradicated from invaded nearby islands and recolonised by seabirds. Following rat eradication, abundance at sea of red-footed booby, brown noddy, and white terns increased by 14%, 17% and 3% respectively, with no important increase detected for shearwaters. Our results have implication for seabird conservation and island restoration. Climate oscillations may cause shifts in seabird distribution, possibly through changes in regional productivity and prey distribution. Invasive species eradications and subsequent island recolonization can lead to greater access for seabirds to areas at-sea, due to increased foraging or transiting through, potentially leading to distribution gains and increased competition. Our approach predicting distribution after successful eradications enables anticipatory threat-mitigation in these areas, minimising competition between colonies and thereby maximising the risk of success and the conservation impact of eradication programmes.
Fig. 2 in Native Bugseed Species Corispermum Intermedium Schweigg And Alien Corispermum Pallasii Steven In Coastal Habitats Of Latvia - New Knowledges Of Distribution And Invasions
Fig. 2. Achenes of Corispermum intermedium (left) and C. pallasii (right). Image: I. Svilāne.
Data from: Climate oscillation and alien species invasion influences oceanic seabird distribution
Open the record for dataset details and reuse information.
Supplementary material 1 from: Bustamante RO, Alves L, Goncalves E, Duarte M, Herrera I (2020) A classification system for predicting invasiveness using climatic niche traits and global distribution models: application to alien plant species in Chile. NeoBiota 63: 127-146. https://doi.org/10.3897/neobiota.63.50049
Table S1. Exotic species located in Quadrant 1 (see Figure 3) and impacts on biodiversity, agriculture and cattle raisng
Supplementary material 2 from: Sirbu C, Miu IV, Gavrilidis AA, Gradinaru SR, Niculae IM, Preda C, Oprea A, Urziceanu M, Camen-Comanescu P, Nagoda E, Sirbu IM, Memedemin D, Anastasiu P (2022) Distribution and pathways of introduction of invasive alien plant species in Romania. NeoBiota 75: 1-21. https://doi.org/10.3897/neobiota.75.84684
Appendix S2. Altitudinal range of invasive and potentially invasive alien plant species recorded in Romania
FIGURE 2 in Insecta non gratae: New Distribution Records of Eight Alien Bug (Hemiptera) Species in Turkey with Contributions of Citizen Science
FIGURE 2. Corythucha arcuata (Say, 1832): A. Male specimen on an oak (Quercus sp.) leaf from İstanbul, B. Nymphs on an oak (Quercus sp.) leaf from the same locality.
FIGURE 1. Zelus renardii Kolenati, 1856 in Insecta non gratae: New Distribution Records of Eight Alien Bug (Hemiptera) Species in Turkey with Contributions of Citizen Science
FIGURE 1. Zelus renardii Kolenati, 1856: A. Adult male from İstanbul, B. Mating specimens from İzmir, C. Nymphe from İzmir. D. Egg pile from İstanbul.
Data from: Distribution of alien animal species richness in the Czech Republic
Open the record for dataset details and reuse information.
Supplementary material 4 from: Seebens H, Clarke DA, Groom Q, Wilson JRU, García-Berthou E, Kühn I, Roigé M, Pagad S, Essl F, Vicente J, Winter M, McGeoch M (2020) A workflow for standardising and integrating alien species distribution data. NeoBiota 59: 39-59. https://doi.org/10.3897/neobiota.59.53578
Intermediate output files of the case study applying the SInAS workflow
Supplementary material 3 from: Seebens H, Clarke DA, Groom Q, Wilson JRU, García-Berthou E, Kühn I, Roigé M, Pagad S, Essl F, Vicente J, Winter M, McGeoch M (2020) A workflow for standardising and integrating alien species distribution data. NeoBiota 59: 39-59. https://doi.org/10.3897/neobiota.59.53578
Final output files of the case study applying the SInAS workflow
Supplementary material 2 from: Seebens H, Clarke DA, Groom Q, Wilson JRU, García-Berthou E, Kühn I, Roigé M, Pagad S, Essl F, Vicente J, Winter M, McGeoch M (2020) A workflow for standardising and integrating alien species distribution data. NeoBiota 59: 39-59. https://doi.org/10.3897/neobiota.59.53578
Supplementary Tables S1–S4
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