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859 results for “neobiota”
Supplementary material 2 from: Bayliss H, Stewart G, Wilcox A, Randall N (2013) A perceived gap between invasive species research and stakeholder priorities. NeoBiota 19: 67-82. https://doi.org/10.3897/neobiota.19.4897
Journal article classifications (doi: 10.3897/neobiota.19.4897.app2) File format: Comma Separated Value File (csv).:
Supplementary material 1 from: Bayliss H, Stewart G, Wilcox A, Randall N (2013) A perceived gap between invasive species research and stakeholder priorities. NeoBiota 19: 67-82. https://doi.org/10.3897/neobiota.19.4897
Stakeholder priorities. (doi: 10.3897/neobiota.19.4897.app1) File format: Micrisoft Comma Separated Value File (csv).:
Supplementary material from: Aslan CE, Sikes BA, Gedan KB (2015) Research on mutualisms between native and non-native partners can contribute critical ecological insights. NeoBiota 26: 39-54. https://doi.org/10.3897/neobiota.26.8837
Supplementary material from: Aslan CE, Sikes BA, Gedan KB (2015) Research on mutualisms between native and non-native partners can contribute critical ecological insights. NeoBiota 26: 39-54. https://doi.org/10.3897/neobiota.26.8837
Supplementary material 1 from: Gildenhuys E, Ellis A, Carroll S, Le Roux J (2013) The ecology, biogeography, history and future of two globally important weeds: Cardiospermum halicacabum Linn. and C. grandiflorum Sw. NeoBiota 19: 45-65. https://doi.org/10.3897/neobiota.19.5279
Supporting information for species distribution modelling of Cardiospermum species using native range presences and global pseudo absences. (doi: 10.3897/neobiota.19.5279.app) File format: Micrisoft Word Document (doc).:
Supplementary material 1 from: Motloung R, Robertson M, Rouget M, Wilson J (2014) Forestry trial data can be used to evaluate climate-based species distribution models in predicting tree invasions. NeoBiota 20: 31-48. https://doi.org/10.3897/neobiota.20.5778
Current and potential distributions of sixteen species that are not widespread in southern Africa arranged on the basis of their suitable range size : a) Acacia paradoxa, b) A. cultriformis, c) A. falciformis, d) A. pendula, e) A. rubida, f) A. stricta, g) A. retinodes, h) A. fimbriata, i) A. aneura, j) A. viscidula, k) A. acuminata, l) A. adunca, m) A. binervata, n) A. schinoides, o) A. prominens, p) A. mangium. The grey shading indicates areas that SDMs have identified as suitable by SDMs while the white ones are unsuitable.
Supplementary material 1 from: Hejda M (2013) Do species differ in their ability to coexist with the dominant alien Lupinus polyphyllus? A comparison between two distinct invaded ranges and a native range. NeoBiota 17: 39-55. https://doi.org/10.3897/neobiota.17.4317
Entry data for the univariate models with species richness as a response variable. (doi: 10.3897/neobiota.17.4317.app1) File format: Micrisoft Excell document (xls). :
Supplementary material 1 from: Yemshanov D, Koch F, Ducey M, Haack R, Siltanen M, Wilson K (2013) Quantifying uncertainty in pest risk maps and assessments: adopting a risk-averse decision maker's perspective. NeoBiota 18: 193-218. https://doi.org/10.3897/neobiota.18.4002
Risk of out-of-state (out-of-province) locations to be the source of forest pests transported in firewood carried by campers. The risk rank values are based on the delineation of nested non-dominant sets via the first-degree stochastic dominance rule (FSD). The ranks close to 1.0 denote the highest risk of pest arrival and the ranks close to 0 denote the lowest risk. (doi: 10.3897/neobiota.18.4002.app1) File format: Adobe PDF File (pdf).:
Supplementary material 4 from: Dawson W, Keser L, Winter M, Pyšek P, Kartesz J, Nishino M, Fuentes N, Chytrý M, Celesti-Grapow L, van Kleunen M (2013) Correlations between global and regional measures of invasiveness vary with region size. NeoBiota 16: 59-80. https://doi.org/10.3897/neobiota.16.4351
Spearman's ρ correlation coefficients (and bootstrapped, bias-corrected 95% confidence intervals) of relationships between GCW-derived invasiveness measures with 'weed-only' non-target region references included, and regional measures of species abundance and distribution from vegetation plot data in the Czech Republic and Montana.
Supplementary material 1 from: Spafford R, Lortie C, Butterfield B (2013) A systematic review of arthropod community diversity in association with invasive plants. NeoBiota 16: 81-102. https://doi.org/10.3897/neobiota.16.4190
Supplementary material 1 from: Spafford R, Lortie C, Butterfield B (2013) A systematic review of arthropod community diversity in association with invasive plants. NeoBiota 16: 81-102. https://doi.org/10.3897/neobiota.16.4190
Supplementary material 1 from: Dawson W, Keser L, Winter M, Pyšek P, Kartesz J, Nishino M, Fuentes N, Chytrý M, Celesti-Grapow L, van Kleunen M (2013) Correlations between global and regional measures of invasiveness vary with region size. NeoBiota 16: 59-80. https://doi.org/10.3897/neobiota.16.4351
Description of GCW areas used as as measure of invasiveness, based on references in the Global Compendium of Weeds recording a species in a particular global area. The number of references in the Global Compendium of Weeds referring to each global area is listed, along with the countries (or regions) covered.
Supplementary material 1 from: Hirsch H, Wypior C, von Wehrden H, Wesche K, Renison D, Hensen I (2012) Germination performance of native and non-native Ulmus pumila populations. NeoBiota 15: 53-68. https://doi.org/10.3897/neobiota.15.4057
Location and climate information of the sampled Ulmus pumila populations in China and the U.S. Maximum (max.) temperatures for the months May, June and July are provided to show the temperature range during the main germination period (lowest and highest values are italicized). Climatic information was extracted from the WORLDCLIM database (Hijmans et al. 2005).
Supplementary material 1 from: Dainese M, Poldini L (2012) Does residence time affect responses of alien species richness to environmental and spatial processes? NeoBiota 14: 47-66. https://doi.org/10.3897/neobiota.14.3273
Supplementary material 1 from: Dainese M, Poldini L (2012) Does residence time affect responses of alien species richness to environmental and spatial processes? NeoBiota 14: 47-66. https://doi.org/10.3897/neobiota.14.3273
Supplementary material 3 from: Jeschke J, Wittenborn D (2011) Characteristics of exotic ants in North America. NeoBiota 10: 47-64. https://doi.org/10.3897/neobiota.10.1047
Supplementary material 3 from: Jeschke J, Wittenborn D (2011) Characteristics of exotic ants in North America. NeoBiota 10: 47-64. https://doi.org/10.3897/neobiota.10.1047
Supplementary material 2 from: Hirsch H, Wypior C, von Wehrden H, Wesche K, Renison D, Hensen I (2012) Germination performance of native and non-native Ulmus pumila populations. NeoBiota 15: 53-68. https://doi.org/10.3897/neobiota.15.4057
Comparison of climatic conditions (a: mean annual temperature; b: annual precipitation) between the Chinese and North American locations of Ulmus pumila. Wilcoxon rank sum tests were used to test for differences between both ranges. Mean annual temperatures are significantly higher for locations from the U.S. (W = 7, p < 0.05). Annual precipitation is marginal higher in the invasive populations compared to the native populations (W = 9, p = 0.05). Significant differences are symbolized by different lowercases above the boxes.
Supplementary material 1 from: Jeschke J, Wittenborn D (2011) Characteristics of exotic ants in North America. NeoBiota 10: 47-64. https://doi.org/10.3897/neobiota.10.1047
Supplementary material 1 from: Jeschke J, Wittenborn D (2011) Characteristics of exotic ants in North America. NeoBiota 10: 47-64. https://doi.org/10.3897/neobiota.10.1047
Supplementary material 2 from: Spafford R, Lortie C, Butterfield B (2013) A systematic review of arthropod community diversity in association with invasive plants. NeoBiota 16: 81-102. https://doi.org/10.3897/neobiota.16.4190
Supplementary material 2 from: Spafford R, Lortie C, Butterfield B (2013) A systematic review of arthropod community diversity in association with invasive plants. NeoBiota 16: 81-102. https://doi.org/10.3897/neobiota.16.4190
Supplementary material 2 from: Bonnett G, Kushner J, Saltonstall K (2014) The reproductive biology of Saccharum spontaneum L.: implications for management of this invasive weed in Panama. NeoBiota 20: 61-79. https://doi.org/10.3897/neobiota.20.6163
Proportion of seeds that germinated each week between September and December from samples taken at 12 sites. 100 seeds were germinated from each of three replicate samples and tested for germination in laboratory conditions. Results are presented as the mean and the error bar represents the standard error of the mean.
Supplementary material 4 from: Yemshanov D, Koch F, Ducey M, Haack R, Siltanen M, Wilson K (2013) Quantifying uncertainty in pest risk maps and assessments: adopting a risk-averse decision maker's perspective. NeoBiota 18: 193-218. https://doi.org/10.3897/neobiota.18.4002
Summary of differences between risk rank classes, 0–0.05, 0.05–0.25, 0.25–0.5, 0.5–0.75, 0.75–0.95 and 0.95–1 in the delineations based on the FSD and SSD rules. (doi: 10.3897/neobiota.18.4002.app4) File format: Adobe PDF File (pdf).:
Supplementary material 1 from: Bonnett G, Kushner J, Saltonstall K (2014) The reproductive biology of Saccharum spontaneum L.: implications for management of this invasive weed in Panama. NeoBiota 20: 61-79. https://doi.org/10.3897/neobiota.20.6163
The table gives the latitude and longitude, description and number of genotypes found among the 3 plants of Saccharum spontaneum tested from each of 22 Sites. Sites 1–12 were used to assess seed germinability through time.
Supplementary material 1 from: Humair F, Edwards P, Siegrist M, Kueffer C (2014) Understanding misunderstandings in invasion science: why experts don't agree on common concepts and risk assessments. NeoBiota 20: 1-30. https://doi.org/10.3897/neobiota.20.6043
Interview guideline: perception / valuation of ecosystem change related non-native, invasive plants
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