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859 results for “neobiota”
Supplementary material 1 from: Mumladze L, Kuljanishvili T, Japoshvili B, Epitashvili G, Kalous L, Vilizzi L, Piria M (2022) Risk of invasiveness of non-native fishes in the South Caucasus biodiversity and geopolitical hotspot. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 109-133. https://doi.org/10.3897/neobiota.76.82776
Combined AS-ISK report including the 96 screenings for the 32 fish species screened for the South Caucasus
Supplementary material 1 from: Marić A, Špelić I, Radočaj T, Vidović Z, Kanjuh T, Vilizzi L, Piria M, Nikolić V, Škraba Jurlina D, Mrdak D, Simonović P (2022) Changing climate may mitigate the invasiveness risk of non-native salmonids in the Danube and Adriatic basins of the Balkan Peninsula (south-eastern Europe). In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 135-161. https://doi.org/10.3897/neobiota.76.82964
Combined AS-ISK report including the 68 screenings for the 17 salmonid species screened for the Danube and Adriatic basins of Bosnia and Herzegovina, Croatia, Montenegro and Serbia (including Kosovo)
Supplementary material 2 from: Piria M, Radočaj T, Vilizzi L, Britvec M (2022) Climate change may exacerbate the risk of invasiveness of non-native aquatic plants: the case of the Pannonian and Mediterranean regions of Croatia. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 25-52. https://doi.org/10.3897/neobiota.76.83320
Combined AS-ISK report for the 24 non-native aquatic plant species screened for their potential risk of invasiveness in the Pannonian and Mediterranean regions of Croatia.
Supplementary material 1 from: Uludağ A, Aksoy N, Yazlık A, Arslan ZF, Yazmış E, Üremiş I, Cossu TA, Groom Q, Pergl J, Pyšek P, Brundu G (2017) Alien flora of Turkey: checklist, taxonomic composition and ecological attributes. NeoBiota 35: 61-85. https://doi.org/10.3897/neobiota.35.12460
Alien flora of Turkey: checklist, taxonomic composition and ecological attributes : Explanation note: List of alien taxa in the flora of Turkey. Taxa are ordered alphabetically. Each taxon is listed together with its family, residence time, invasion status, life-form according to Raunkiaer, growth for according to the Thesaurus of Plant Characteristics for Ecology and Evolution, simplified growth-form, life history, reasons for intentional and accidental introduction. The last five columns on the right list habitats where the species is found in Turkey. This list includes also 47 frequently planted taxa.
Supplementary material 1 from: Murray BR, Martin LJ, Phillips ML, Pyšek P (2017) Taxonomic perils and pitfalls of dataset assembly in ecology: a case study of the naturalized Asteraceae in Australia. NeoBiota 34: 1-20. https://doi.org/10.3897/neobiota.34.11139
Final dataset : Explanation note: The final dataset (FD) of naturalized species and infra-species of Asteraceae in Australia. GD and RD refer to the Groves et al. (2003) and Randall (2007) source datasets respectively. Comments link the names of taxa to the companion dataset (CD, Suppl. material 2).
Supplementary material 2 from: Murray BR, Martin LJ, Phillips ML, Pyšek P (2017) Taxonomic perils and pitfalls of dataset assembly in ecology: a case study of the naturalized Asteraceae in Australia. NeoBiota 34: 1-20. https://doi.org/10.3897/neobiota.34.11139
Companion dataset : Explanation note: The companion dataset (CD) for naturalized Asteraceae in Australia. GD and RD refer to the Groves et al. (2003) and Randall (2007) source datasets respectively. A 'Y' indicates that the taxon name is checked off against the header category. Comments link the names of taxa to the final dataset (FD, Suppl. material 1).
Supplementary material 4 from: Connolly BM, Powers J, Mack RN (2017) Biotic constraints on the establishment and performance of native, naturalized, and invasive plants in Pacific Northwest (USA) steppe and forest. NeoBiota 34: 21-40. https://doi.org/10.3897/neobiota.34.10820
Table S4–S7 : Explanation note: MANOVA GLM results for seedling establishment and performance measures.
Supplementary material 3 from: Connolly BM, Powers J, Mack RN (2017) Biotic constraints on the establishment and performance of native, naturalized, and invasive plants in Pacific Northwest (USA) steppe and forest. NeoBiota 34: 21-40. https://doi.org/10.3897/neobiota.34.10820
Table S2–S3, Figures S2–S3 : Explanation note: Generalized mixed model output and summary graphs using species, rather than plant immigration class, as a fixed factor in models assessing plant establishment counts and individual plant growth.
Supplementary material 2 from: Connolly BM, Powers J, Mack RN (2017) Biotic constraints on the establishment and performance of native, naturalized, and invasive plants in Pacific Northwest (USA) steppe and forest. NeoBiota 34: 21-40. https://doi.org/10.3897/neobiota.34.10820
Methods S1 and Figure S1 : Explanation note: Protocol and results figure summarizing light transmittance in disturbed vs. undisturbed plots in PNW steppe and forest.
Supplementary material 1 from: El-Barougy RF, Cadotte MW, Khedr A-HA, Nada RM, Maclvor SJ (2017) Heterogeneity in patterns of survival of the invasive species Ipomoea carnea in urban habitats along the Egyptian Nile Delta. NeoBiota 33: 1-17. https://doi.org/10.3897/neobiota.33.9968
Table 1S. Comparison of stratified multivariable generalized linear models : Explanation note: Comparison of stratified multivariable generalized linear models that model the relationship between survival probability and different variables. The best model, selected by AIC, p-value of chi square, deviance explained (DE) and (AW). AW is the Akaikes weight which is the probability of the model being the best model explaining the relationship between survival probability and different variables. DE is the percentage of deviance explained (DE) as a measure of the model's goodness-of-fit.
Supplementary material 1 from: Jarnevich CS, Young NE, Sheffels TR, Carter J, Sytsma MD, Talbert C (2017) Evaluating simplistic methods to understand current distributions and forecast distribution changes under climate change scenarios: an example with coypu (Myocastor coypus). NeoBiota 32: 107-125. https://doi.org/10.3897/neobiota.32.8884
Supplementary figures and table : Explanation note: Supporting information including global location data used to create models (Supplementary figure 1), global distribution of tropical environments (Supplementary figure 2), and Global circulation model climate data used for forecasts of Myocastor coypus distributions (Supplementary table 1).
Supplementary material 4 from: Schiffleithner V, Essl F (2016) Is it worth the effort? Spread and management success of invasive alien plant species in a Central European National Park. NeoBiota 31: 43-61. https://doi.org/10.3897/neobiota.31.8071
Table S2. Percentage and numbers of populations of the three study species : Explanation note: Percentage and numbers of populations of the three study species in the five size classes (1 = 0–10m², 2 = 10–100m², 3 = 100–1,000m², 4 = 1,000–10,000m², 5 = >10,000m²) in the National Park Thayatal-Podyjí in 2010. Density classes (according to Braun-Blanquet 1964) are provided for Fallopia × bohemica and Impatiens glandulifera.
Supplementary material 3 from: Schiffleithner V, Essl F (2016) Is it worth the effort? Spread and management success of invasive alien plant species in a Central European National Park. NeoBiota 31: 43-61. https://doi.org/10.3897/neobiota.31.8071
Table S1. Populations of Fallopia × bohemica, Impatiens glandulifera and Robinia pseudoacacia in the Austrian part of the National Park Thayatal-Podyjí : Explanation note: Populations of Fallopia × bohemica, Impatiens glandulifera and Robinia pseudoacacia in the Austrian part of the National Park Thayatal-Podyjí, indicating population size, changes in population size between both surveys, and if management was applied.
Supplementary material 1 from: Schiffleithner V, Essl F (2016) Is it worth the effort? Spread and management success of invasive alien plant species in a Central European National Park. NeoBiota 31: 43-61. https://doi.org/10.3897/neobiota.31.8071
Figure S1. Distribution of the three study species (Fallopia × bohemica, Impatiens glandulifera, Robinia pseudoacacia) in the National Park Thayatal-Podyjí in 2010 : Explanation note: Robinia pseudoacacia predominantly invades forests near settlements, Impatiens glandulifera the Thaya river valley, and Fallopia × bohemica occurs mostly near settlements close to streams.
Supplementary material 2 from: Schiffleithner V, Essl F (2016) Is it worth the effort? Spread and management success of invasive alien plant species in a Central European National Park. NeoBiota 31: 43-61. https://doi.org/10.3897/neobiota.31.8071
Figure S2. Distribution of the three study species, Fallopia × bohemica, Impatiens glandulifera, and Robinia pseudoacacia in the Austrian part of the National Park Thayatal-Podyjí in 2001 :
Supplementary material 2 from: Rajmis S, Thiele J, Marggraf R (2016) A cost-benefit analysis of controlling giant hogweed (Heracleum mantegazzianum) in Germany using a choice experiment approach. NeoBiota 31: 19-41. https://doi.org/10.3897/neobiota.31.8103
Exemplary choice set and details of scenario benefit calculations : Explanation note: In Suppl. material 2 we present an exemplary choice set used in the choice experiment and some details of econometric analysis.
Supplementary material 1 from: Rajmis S, Thiele J, Marggraf R (2016) A cost-benefit analysis of controlling giant hogweed (Heracleum mantegazzianum) in Germany using a choice experiment approach. NeoBiota 31: 19-41. https://doi.org/10.3897/neobiota.31.8103
Details of scenario cost calculations : Explanation note: In Suppl. material 1 we present some cost calculation details of different infested area types and sizes.
Supplementary material 1 from: Wilson CE, Castro KL, Thurston GB, Sissons A (2016) Pathway risk analysis of weed seeds in imported grain: A Canadian perspective. In: Daehler CC, van Kleunen M, Pyšek P, Richardson DM (Eds) Proceedings of 13th International EMAPi conference, Waikoloa, Hawaii. NeoBiota 30: 49–74. https://doi.org/10.3897/neobiota.30.7502
Weed seed contaminant species reported in imported grain in a Canadian sampling program 2007–2015 : Explanation note: Complete list of weed seed contaminant species reported in 947 samples of 10 imported grain crops in a Canadian sampling program 2007–2015, cross-listed to number of times reported and crops reported in.
Supplementary material 4 from: Novoa A, Kumschick S, Richardson DM, Rouget M, Wilson JRU (2016) Native range size and growth form in Cactaceae predict invasiveness and impact. In: Daehler CC, van Kleunen M, Pyšek P, Richardson DM (Eds) Proceedings of 13th International EMAPi conference, Waikoloa, Hawaii. NeoBiota 30: 75–90. https://doi.org/10.3897/neobiota.30.7253
Results of the General Impact Scoring System applied to 70 cactus species (35 invasive and 35 non-invasive cactus species with a long history of introduction in South Africa) : Explanation note: The impact scores are expressed as the maximum impact over all the environmental and socioeconomic categories considered in this study.
Supplementary material 1 from: Brundu G, Richardson DM (2016) Planted forests and invasive alien trees in Europe: A Code for managing existing and future plantings to mitigate the risk of negative impacts from invasions. In: Daehler CC, van Kleunen M, Pyšek P, Richardson DM (Eds) Proceedings of 13th International EMAPi conference, Waikoloa, Hawaii. NeoBiota 30: 5–47. https://doi.org/10.3897/neobiota.30.7015
Supplementary tables : Explanation note: Table 1. Examples of specific plantation practices aimed at reducing problems with invasive alien tree species. Some of these rules can be considered of general utility, whereas others refer to specific alien tree species and aim to mitigate specific impacts. Table 2. The fifty alien trees most frequently listed (with different rankings) in European countries
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International Brain Laboratory public data
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OpenNeuro
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