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343 results for “invasive aliens”
Supplementary material 4 from: Haubrock PJ, Turbelin AJ, Cuthbert RN, Novoa A, Taylor NG, Angulo E, Ballesteros-Mejia L, Bodey TW, Capinha C, Diagne C, Essl F, Golivets M, Kirichenko N, Kourantidou M, Leroy B, Renault D, Verbrugge L, Courchamp F (2021) Economic costs of invasive alien species across Europe. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 153-190. https://doi.org/10.3897/neobiota.67.58196
Map of Europe showing (a) the number of alien species, (b) the number of researchers at a scale of thousands, (c) total cost of invasion normalised by the number of alien species and (d) total cost of invasions normalised by the number of researchers by country
Supplementary material 3 from: Haubrock PJ, Turbelin AJ, Cuthbert RN, Novoa A, Taylor NG, Angulo E, Ballesteros-Mejia L, Bodey TW, Capinha C, Diagne C, Essl F, Golivets M, Kirichenko N, Kourantidou M, Leroy B, Renault D, Verbrugge L, Courchamp F (2021) Economic costs of invasive alien species across Europe. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 153-190. https://doi.org/10.3897/neobiota.67.58196
Descriptions of socio-economic explanatory variables considered at the country level as potential correlates of invasion costs
Supplementary material 7 from: Haubrock PJ, Turbelin AJ, Cuthbert RN, Novoa A, Taylor NG, Angulo E, Ballesteros-Mejia L, Bodey TW, Capinha C, Diagne C, Essl F, Golivets M, Kirichenko N, Kourantidou M, Leroy B, Renault D, Verbrugge L, Courchamp F (2021) Economic costs of invasive alien species across Europe. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 153-190. https://doi.org/10.3897/neobiota.67.58196
Coefficients from linear robust regression model considering temporal trends in invasion costs, qualified per annual GDP among European countries
Figure 4 in Will future anthropogenic climate change increase the potential distribution of the alien invasive Cuban treefrog (Anura: Hylidae)?
Figure 4. Maps of the potential distribution of O. septentrionalis as expected for 2020, 2050 and 2080 assuming A2a and B2a conditions. Maps show mean values of Maxent values derived from models projected onto CCCMA, CISRO and HADCM3 scenarios.
Figure 3 in Will future anthropogenic climate change increase the potential distribution of the alien invasive Cuban treefrog (Anura: Hylidae)?
Figure 3. Comparison between the known distribution of O. septentrionalis (A) (source: Johnson (2007)) and model prediction in Florida (B). Spread history of O. septentrionalis is indicated.
Figure 2 in Will future anthropogenic climate change increase the potential distribution of the alien invasive Cuban treefrog (Anura: Hylidae)?
Figure 2. Potential distribution of O. septentrionalis under current climate conditions within the Caribbean. Higher Maxent values suggest higher climatic suitability. Native records are indicated as points and invasive records as triangles.
Figure 1 in Will future anthropogenic climate change increase the potential distribution of the alien invasive Cuban treefrog (Anura: Hylidae)?
Figure 1. Comparison of climatic conditions at native and invasive records of Osteopilus septentrionalis. Native records used for model building are indicated in black, invasive records in grey.
FIGURE 7 in Two newly recorded invasive alien ascidians (Chordata, Tunicata, Ascidiacea) based on morphological and molecular phylogenetic analysis in Korea*
FIGURE 7. Phylogenetic relationship of some ascidians including three invasive alien species inferred from mt–COI dataset. Species, sampling locations in Korea and Genbank accession numbers were given and numbers on branches were Bayesian posterior probabilities (if ≥ 0.80). The tree was rooted with Branchiostoma floridae. The scale bar represents the number of expected changes per site.
FIGURE 6 in Two newly recorded invasive alien ascidians (Chordata, Tunicata, Ascidiacea) based on morphological and molecular phylogenetic analysis in Korea*
FIGURE 6. Phylogenetic relationship of some ascidians including four invasive alien species inferred from nuclear 18S rDNA dataset. Species, sampling locations in Korea and Genbank accession numbers were given and numbers on branches were Bayesian posterior probabilities (if ≥ 0.80). The tree was rooted with Branchiostoma floridae. The scale bar represents the number of expected changes per site.
FIGURE 3 in Two newly recorded invasive alien ascidians (Chordata, Tunicata, Ascidiacea) based on morphological and molecular phylogenetic analysis in Korea*
FIGURE 3. Different invasive ascidians attached to same rope at different dates at Tongyeong yacht marina: A, B, S. plicata (Oct. 2010); C, D, A. aspersa (June 2011). The red arrow indicates that an individual of S. plicata was surrounded by several individuals of A. aspersa.
FIGURE 5 in Two newly recorded invasive alien ascidians (Chordata, Tunicata, Ascidiacea) based on morphological and molecular phylogenetic analysis in Korea*
FIGURE 5. Molgula manhattensis: A, C, Individuals densely aggregated on a rope; B, Individuals on a fish trap; D, Right side; E, Left side; F, Sagittal section of branchial sac; G, Oral and Atrial siphon; H, Tentacles; I, Dorsal tubercle; J, Six folds of branchial sac; K, Stigmata; L, Individuals attached to fish trap. 1—oral siphon, 2—atrial siphon, 3—tentacles, 4—dorsal tubercle, 5—folds of branchial sac, 6—stigmata, 7—intestine, 8—gonads, 9—renal sac, 10—tunic, 11—endostyle. Scale bars: A–B. 50 mm; C–F, L. 5 mm; G–K. 1 mm.
FIGURE 2 in Two newly recorded invasive alien ascidians (Chordata, Tunicata, Ascidiacea) based on morphological and molecular phylogenetic analysis in Korea*
FIGURE 2. Five invasive alien ascidians at four collection sites in Korea: A, C. lepadiformis attached to dock wall at 4.7 m depth in Busan port; B, A. aspersa attached to ropes at Tongyeong yacht marina; C, C. intestinalis attached on thick cloth at Gampo harbor; D, M. manhattensis attached on floating buoy at Mokpo yacht marina; E, S. plicata attached to rope at Tongyeong yacht marina. Scale bars: A–E. 10 cm.
Invasive alien species in Campos Sulinos: current status and future trends
<p>This file belongs to the Electronic supplemental material "Table S1. Researchers who contributed to records of occurrences of species from SISBIO data.".</p>
Future climate change accelerates the invasive rhythm of alien marine species: new insights into the invasive potential of the world's aquaculture species red drum Sciaenops ocellatus
<p>This article accompanies the article "<strong>Integrating species distribution modeling, stable isotope and transcriptomic analysis provides insights into eco-position competition for alien red drum <em>Sciaenops ocellatus</em></strong>". The file contains supplementary material to the article.</p>
Supplementary material 7 from: Muller E, Dvořák M, Marçais B, Caeiro E, Clot B, Desprez-Loustau M-L, Gedda B, Lundén K, Migliorini D, Oliver G, Ramos AP, Rigling D, Rybníček O, Santini A, Schneider S, Stenlid J, Tedeschini E, Aguayo J, Gomez-Gallego M (2023) Conditions of emergence of the Sooty Bark Disease and aerobiology of Cryptostroma corticale in Europe. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 319-347. https://doi.org/10.3897/neobiota.84.90549
Coefficient estimate for each variable of maple basal area computed for different radius and their 95% credible intervals in brackets for models predicting the number of spores detected per week
Supplementary material 3 from: Muller E, Dvořák M, Marçais B, Caeiro E, Clot B, Desprez-Loustau M-L, Gedda B, Lundén K, Migliorini D, Oliver G, Ramos AP, Rigling D, Rybníček O, Santini A, Schneider S, Stenlid J, Tedeschini E, Aguayo J, Gomez-Gallego M (2023) Conditions of emergence of the Sooty Bark Disease and aerobiology of Cryptostroma corticale in Europe. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 319-347. https://doi.org/10.3897/neobiota.84.90549
Standard curve and its correlation coefficient to determine the limit of detection for the real-time PCR assay in ten-folded DNA solutions of C. corticale mycelium (a) and total number of spores in the qPCR reaction (b)
Supplementary material 5 from: Muller E, Dvořák M, Marçais B, Caeiro E, Clot B, Desprez-Loustau M-L, Gedda B, Lundén K, Migliorini D, Oliver G, Ramos AP, Rigling D, Rybníček O, Santini A, Schneider S, Stenlid J, Tedeschini E, Aguayo J, Gomez-Gallego M (2023) Conditions of emergence of the Sooty Bark Disease and aerobiology of Cryptostroma corticale in Europe. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 319-347. https://doi.org/10.3897/neobiota.84.90549
Zero-centred histogram of the residuals between simulated data and predictions of the model with the distance to the closest disease report as a predictor of the number of Cryptostroma corticale spores detected in aerobiological samples
Supplementary material 2 from: Brockerhoff EG, Gresham BA, Meurisse N, Nahrung HF, Perret-Gentil A, Pugh AR, Sopow SL, Turner RM (2023) Pining away and at home: global utilisation of Pinus radiata by native and non-native insects. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 137-167. https://doi.org/10.3897/neobiota.84.95864
Statistics for Table 2. Statistical tests of proportions out of all species among feeding types for impacts, establishments and interceptions.
Supplementary material 3 from: Brockerhoff EG, Gresham BA, Meurisse N, Nahrung HF, Perret-Gentil A, Pugh AR, Sopow SL, Turner RM (2023) Pining away and at home: global utilisation of Pinus radiata by native and non-native insects. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 137-167. https://doi.org/10.3897/neobiota.84.95864
Numbers (and percentages) of species by impact class, and whether or not they have been intercepted (based on the international interceptions dataset covering the period 1995–2021) or established in a region outside their native range.
Supplementary material 4 from: Muller E, Dvořák M, Marçais B, Caeiro E, Clot B, Desprez-Loustau M-L, Gedda B, Lundén K, Migliorini D, Oliver G, Ramos AP, Rigling D, Rybníček O, Santini A, Schneider S, Stenlid J, Tedeschini E, Aguayo J, Gomez-Gallego M (2023) Conditions of emergence of the Sooty Bark Disease and aerobiology of Cryptostroma corticale in Europe. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 319-347. https://doi.org/10.3897/neobiota.84.90549
Zero-centred histogram of the residuals between simulated data and predictions of the model with the water balance (P-ETP) in the vegetative season (April-August) of the year preceding disease report as a predictor of the standardized record rate of the SBD
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
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