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981 results for “Alienates”
Figure 1 from: Katsanevakis S, Tsirintanis K, Sini M, Gerovasileiou V, Koukourouvli N (2020) Aliens in the Aegean – a sea under siege (ALAS). Research Ideas and Outcomes 6: e53057. https://doi.org/10.3897/rio.6.e53057
Figure 1 Schematic representation of the ALAS concept. By conducting a number of field experiments and surveys to assess impacts of invasive alien species on marine habitats, large-scale habitat mapping of the entire marine area of the Aegean Sea, and distribution modelling of all invasive alien species, it will be possible to conduct a large-scale cumulative impact assessment of invasive alien species on the marine ecosystems of the Aegean Sea.
Figure 2 from: Katsanevakis S, Tsirintanis K, Sini M, Gerovasileiou V, Koukourouvli N (2020) Aliens in the Aegean – a sea under siege (ALAS). Research Ideas and Outcomes 6: e53057. https://doi.org/10.3897/rio.6.e53057
Figure 2 Workflow chart illustrating the main work packages (WP in bold) and tasks (regular) and their links (arrows).
Supplementary material 1 from: Galasso G, Domina G, Adorni M, Angiolini C, Apruzzese M, Ardenghi NMG, Assini S, Aversa M, Bacchetta G, Banfi E, Barberis G, Bartolucci F, Bernardo L, Bertolli A, Bonali F, Bonari G, Bonini I, Bracco F, Brundu G, Buccomino G, Buono S, Calvia G, Cambria S, Castagnini P, Ceschin S, Dagnino D, Di Gristina E, Di Turi A, Fascetti S, Ferretti G, Fois M, Gentili R, Gheza G, Gubellini L, Hofmann N, Iamonico D, Ilari A, Király A, Király G, Laface VLA, Lallai A, Lazzaro L, Lonati M, Longo D, Lozano V, Lupoletti J, Magrini S, Mainetti A, Manca M, Marchetti D, Mariani F, Mariotti MG, Masin RR, Mei G, Menini F, Merli M, Milani A, Minuto L, Mugnai M, Musarella CM, Olivieri N, Onnis L, Passalacqua NG, Peccenini S, Peruzzi L, Pica A, Pinzani L, Pittarello M, Podda L, Prosser F, Ravetto Enri S, Roma-Marzio F, Rosati L, Sarigu M, Scafidi F, Sciandrello S, Selvaggi A, Spampinato G, Stinca A, Tavilla G, Toffolo C, Tomasi G, Turcato C, Villano C, Nepi C (2020) Notulae to the Italian alien vascular flora: 9. Italian Botanist 9: 47-70. https://doi.org/10.3897/italianbotanist.9.53401
Supplementary data
Supplementary material 1 from: Moodley D, Foxcroft LC, Novoa A, Pyšková K, Pergl J, Pysek P (2020) Invasive alien species add to the uncertain future of protected areas. NeoBiota 57: 1-5. https://doi.org/10.3897/neobiota.57.52188
Table S1. A list of protected areas (n = 183) in the United States
Supplementary material 2 from: Höbart R, Schindler S, Essl F (2020) Perceptions of alien plants and animals and acceptance of control methods among different societal groups. NeoBiota 58: 33-54. https://doi.org/10.3897/neobiota.58.51522
Table S1. Overview on demographic data of survey respondents
Supplementary material 1 from: Höbart R, Schindler S, Essl F (2020) Perceptions of alien plants and animals and acceptance of control methods among different societal groups. NeoBiota 58: 33-54. https://doi.org/10.3897/neobiota.58.51522
Text S1, S2
Data from: Using structured eradication feasibility assessment to prioritise the management of new and emerging invasive alien species in Europe
<p>Prioritising the management of invasive alien species (IAS) is of global importance and within Europe integral to the EU IAS regulation. To prioritise management effectively the risks posed by IAS need to be assessed, but so too does the feasibility of their management. While risk of IAS to the EU has been assessed, the feasibility of management has not. We assessed the feasibility of eradicating 60 new (not yet established) and 35 emerging (established with limited distribution) species that pose a threat to the EU, as identified by horizon scanning. The assessment was carried out by 34 experts in invasion management from across Europe, applying the Non-Native Risk Management scheme to defined invasion scenarios and eradication strategies for each species, assessing the feasibility of eradication using seven key risk management criteria. Management priorities were identified by combining scores for risk (derived from horizon scanning) and feasibility of eradication. The results show eradication feasibility score and risk score were not correlated, indicating that risk management evaluates different information than risk assessment. Seventeen new species were identified as particularly high priorities for eradication should they establish in the future, while fourteen emerging species were identified as priorities for eradication now. A number of species considered highest priority for eradication were terrestrial vertebrates, a group that has been the focus of a number of eradication attempts in the EU. However, eradication priorities also included a diverse range of other taxa (plants, invertebrates and fish) suggesting there is scope to broaden the taxonomic range of attempted eradication in the EU. We demonstrate that broad scale structured assessments of management feasibility can help prioritise IAS for management. Such frameworks are needed to support evidence based decision making.</p>
Supplementary material 3 from: Hill KGW, Nielson KE, Tyler JJ, McInerney FA, Doubleday ZA, Frankham GJ, Johnson RN, Gillanders BM, Delean S, Cassey P (2020) Pet or pest? Stable isotope methods for determining the provenance of an invasive alien species. NeoBiota 59: 21-37. https://doi.org/10.3897/neobiota.59.53671
Figure S1. Results from a carbon decision tree
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
Supplementary material 4 from: Hill KGW, Nielson KE, Tyler JJ, McInerney FA, Doubleday ZA, Frankham GJ, Johnson RN, Gillanders BM, Delean S, Cassey P (2020) Pet or pest? Stable isotope methods for determining the provenance of an invasive alien species. NeoBiota 59: 21-37. https://doi.org/10.3897/neobiota.59.53671
Table S4.1. Determining confidence in status assignment
Supplementary material 5 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
Unresolved entries of the case study applying the SInAS workflow
Supplementary material 1 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
Technical description and manual of the SInAS workflow implementation in R
Figure 3 in Alien vs. Predator: interactions between the colossal squid (Mesonychoteuthis hamiltoni) and the Antarctic toothfish (Dissostichus mawsoni)
Figure 3. (A, B) Imprints of squid suckers on toothfish heads; and (C, D) wounds of the squid beak on toothfish bodies. Photos by A. Remeslo.
Figure 1. A in Alien vs. Predator: interactions between the colossal squid (Mesonychoteuthis hamiltoni) and the Antarctic toothfish (Dissostichus mawsoni)
Figure 1. A collosal squid (mantle length 242 mm) on the deck of RV Evrika. Photo by A. Remeslo 1981.
Figure 4 in Alien vs. Predator: interactions between the colossal squid (Mesonychoteuthis hamiltoni) and the Antarctic toothfish (Dissostichus mawsoni)
Figure 4. Remains of large colossal squids in Antarctic toothfish stomachs. (A) Arms; (B) a tentacle; (C) beak; (D) a piece of mantle with cartilage. Photos by A. Remeslo.
Figure 2 in Population structure of a native and an alien species of snail in an urban area of the Atlantic Rainforest
Figure 2. Detectability probability (A), abundance (B) and recruitment (C) estimated for Megalobulimus paranaguensis during the study. The error bars show 90% confidence intervals.
Figure 1 in Population structure of a native and an alien species of snail in an urban area of the Atlantic Rainforest
Figure 1. Study site location in Brazil (A; shown in rectangle) and in detail (B; shown in the rectangle), and study areas inside the study site (C; image from Google Earth).
Supplementary material 3 from: Evans T, Blackburn TM, Jeschke JM, Probert AF, Bacher S (2020) Application of the Socio-Economic Impact Classification for Alien Taxa (SEICAT) to a global assessment of alien bird impacts. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM. NeoBiota 62: 123-142. https://doi.org/10.3897/neobiota.62.51150
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ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.