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208 results for “invasive alien species”
Permits issued in respect of South Africa's National Environmental Management: Biodiversity Act's Alien and Invasive Species Regulations over the period October 2014–December 2022
<p>Data based on records of permits issued by the South African Department of Forestry, Fisheries, and the Environment (DFFE) to conduct activities on listed invasive species restricted under the NEM:BA A&IS Regulations of 2014<br> This is based on the file <Copy of Official AIS Permit Register (31 Aug 2019).xlsx> with updates to 2020 based on the updates in the file <AIS Permit Register Updated to 21 January 2021.xlsx> and updates to Dec 2022 based on the file <AIS Permit register updated up to 31 Decenber 2022.xlsx><br> Compiled for the purposes of the reporting process "The Status of Biological Invasions and their Management in South Africa", see http://iasreport.sanbi.org.za/ for more details. Can access the latest report on Zenodo http://dx.doi.org/10.5281/zenodo.3947613 and the latest species list associated with the report via http://dx.doi.org/10.5281/zenodo.3947659<br> For details of how this was constructed see the relevant workflow in the status report process.<br> Where appropriate the rationale for issuing a permit is as per the wording of the regulations and lists of 2020 (see below for the full citation)<br> Each row represents a permit for a particular species for a particular activity. Permit numbers can cover multiple taxa<br> The original data-set has details of the applicant and their contact numbers, who the permit was handled by, and the method by and date on which the permit was sent to the permit holder, these have been redacted<br> Note there can be multiple permits issued to the same permit holder for the same species for the same purposes with the same start and end date<br> In cases where two permits were issued to the same applicant and one of which was for research, both were deemed for research even if it was not specified as such</p> <p>For enquiries contact: invasives@sanbi.org.za or IAS.report.SANBI@gmail.com</p> <p>Suggested citation (noting that in most cases it will be more appropriate to reference the Department responsible itself): SANBI (2023) Permits issued in respect of South Africa's National Environmental Management: Biodiversity Act's Alien and Invasive Species Regulations over the period October 2014 – December 2022. version 20230809. Zenodo. https://dx.doi.org/10.5281/zenodo.8229321</p>
Alien plant species are precursors for invasion: a case study of Alternanthera brasiliana (L.) Kuntze in Ile-Ife (Nigeria)
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Data from: Plant-soil feedback contributes to predicting plant invasiveness of 68 alien plant species differing in invasive status
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Native plant species are more resistant than invasive aliens to escalating environmental change factors
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Microplastics promote the invasiveness of invasive alien species under fluctuating water regime
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Data from: Climate oscillation and alien species invasion influences oceanic seabird distribution
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The world’s 100 worst invasive alien insect species
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Supplementary material 1 from: Dickey JWE, Cuthbert RN, South J, Britton JR, Caffrey J, Chang X, Crane K, Coughlan NE, Fadaei E, Farnsworth KD, Ismar-Rebitz SMH, Joyce PWS, Julius M, Laverty C, Lucy FE, MacIsaac HJ, McCard M, McGlade CLO, Reid N, Ricciardi A, Wasserman RJ, Weyl OLF, Dick JTA (2020) On the RIP: using Relative Impact Potential to assess the ecological impacts of invasive alien species. NeoBiota 55: 27-60. https://doi.org/10.3897/neobiota.55.49547
Table S1. Outline of different numerical response proxies available, guidance for their use and the advantages and disadvantages of each
Supplementary material 2 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 S2.1; Figure S1. Explanation of methods for determining the optimal sampling size and design, using a power analysis on pilot data
Supplementary material 1 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
Tables S1.1, S1.2. A detailed description of indexes used for calculating confidence of status of Trachemys scripta elegans individuals
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
Data from: Origin matters: diversity affects the performance of alien invasive species but not of native species
At local scales, it has often been found that invasibility declines with increasing resident plant diversity. However, whether resident community diversity similarly resists invasion by alien versus native species is seldom compared. We examined this issue by invading constructed native plant assemblages that varied in species and functional richness with invasive alien or native Asteraceae species. Assemblages were also invaded with spotted knapweed, Centaurea stoebe, a native European Aster that has been previously used in diversity-invasibility experiments in North America. We also conducted a field survey to explore the generality of the patterns generated from our experimental study. Both experimental and observational work revealed that increasing diversity reduced the performance of alien but not native invaders. Centaurea stoebe invading its native community performed poorly regardless of resident diversity whereas in a parallel previously published study in North America, C. stoebe easily invaded low but not high diversity assemblages. Our results suggest that diversity is an attribute of resident communities that makes them more or less susceptible to invasion by novel invasive alien but not native plant species. 19 pages, 2 tables, 3 figures; Appendix
Data from: A prioritised list of invasive alien species to assist the effective implementation of EU legislation
1. Effective prevention and control of invasive species generally relies on a comprehensive, coherent and representative list of species that enables resources to be used optimally. European Union (EU) Regulation 1143/2014 on invasive alien species (IAS) aims to control or eradicate priority species, and to manage pathways to prevent the introduction and establishment of new IAS; it applies to species considered of Union concern and subject to formal risk assessment. So far, 49 species have been listed but the criteria for selecting species for risk assessment have not been disclosed and were probably unsystematic. 2. We developed a simple method to systematically rank invasive alien species according to their maximum potential threat to biodiversity in the EU. We identified 1323 species as potential candidates for listing, and evaluated them against their invasion stages and reported impacts, using information from databases and scientific literature. 3. 900 species fitted the criteria for listing according to IAS Regulation. We prioritised 207 species for urgent risk assessment, 59 by 2018 and 148 by 2020, based on their potential to permanently damage native species or ecosystems; another 336 species were identified for a second phase (by 2025), to prevent or reverse their profound impacts on biodiversity; and a further 357 species for assessment by 2030. 4. Policy implications. We propose a systematic, proactive approach to selecting and prioritising invasive alien species for risk assessment to assist European Union policy implementation. We assess an unprecedented number of species with potential to harm EU biodiversity using simple methodology that we developed, and recommend which species should be considered for risk assessment in a ranked order of priority along the timeline 2018-2030, based on their maximum reported impact and their invasion history in Europe.
Data from: Modeling spatial expansion of invasive alien species: relative contributions of environmental and anthropogenic factors to the spreading of the harlequin ladybird in France
Species distribution models (SDM) have often been used to predict the potential ranges of introduced species and prioritize management strategies. However, this approach assumes equilibrium between occurrences and environmental gradients, an assumption which is violated during the invasion process, where many suitable sites are empty because the species has not yet reached them. Here we considered the invasive ladybird Harmonia axyridis as a case study to show the benefits of using a dynamic colonization–extinction model that does not assume equilibrium. We used a multi-year occupancy model incorporating environmental, anthropogenic and neighborhood effects, to identify factors that explained spreading variation of this species in France from 2004, when only a few occupied sites were detected, to 2011. We found that anthropogenic factors (urbanization, agriculture, vineyards, and presence/absence of highways) explained more variation in the diffusion process than environmental factors (winter and summer temperatures, wind-speed, and rainfall). The surface of urbanization was the major anthropogenic factor increasing the probability of colonization. The average summer temperature was the main environmental factor affecting colonization, with a negative effect when high or low. The neighborhood effect revealed that colonization was mostly influenced by contributions coming from a radius of 24 km around the focal cell. The contribution of neighborhood decreases over time, suggesting that H. axyridis is reaching its equilibrium in France. This is confirmed by the small discrepancy observed between the performance of our approach and a SDM approach when predicting a single year occupancy pattern at the end of the study period. Our approach has the advantage of explicitly modelling the state of the biological system during the spatial expansion and identifying colonization constraints. This allows managers to explore the effect of different actions on the system at key moments of the invasion process, hence providing a powerful approach to prioritize management strategies.
IPBES Invasive Alien Species Assessment: Chapter 4. Figures, tables and captions
<p>Figures, tables and captions from Chapter 4: Impacts of biological invasions on nature, nature’s contributions to people, and good quality of life. In: Thematic Assessment Report on Invasive Alien Species and their Control of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services.</p>
IPBES Invasive Alien Species Assessment: Chapter 5. Figures, tables and captions
<p>Figures, tables and caption from Chapter 5: Management; challenges, opportunities and lessons learned. In: Thematic Assessment Report on Invasive Alien Species and their Control of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services.</p>
IPBES Invasive Alien Species Assessment: Chapter 3. Figures, tables and captions
<p>Figures, tables and captions from Chapter 3: Drivers of biodiversity change affecting biological invasions. In: Thematic Assessment Report on Invasive Alien Species and their Control of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services.</p>
The Three Mosquiteers Learn About Invasive Alien Species (English & Greek version)
<p>The Three Mosquiteers are short stories of three friends that try to raise awareness about important ecological issues such as biological invasions in the case of the leaflet. This leaflet was developed and funded by COST Action Alien CSI</p>
Dataset for: Differential responses to fertilization and competition among invasive, non-invasive alien and native Bidens species
<p class="manuscript">Comparative studies of invasive, non-invasive alien, and native congenic plant species can identify plant traits that drive invasiveness. In particular, functional traits associated with rapid growth rate and high fecundity likely facilitate invasive success. As such traits often exhibit high phenotypic plasticity, characterizing plastic responses to anthropogenic environmental changes such as eutrophication and disturbance is important for predicting the invasive success of alien plant species in the future. Here, we compared trait expression and phenotypic plasticity at the species level among invasive, non-invasive alien, and native <i>Bidens</i> species. Plants were grown under nutrient addition and competition treatments, and their functional, morphological, and seed traits were examined. Invasive <i>B. frondosa</i> exhibited higher phenotypic plasticity in most measured traits than did the alien non-invasive <i>B. pilosa</i> or native <i>B. bipinnata</i>. However, differential plastic responses to environmental treatments rarely altered the rank of trait values among the three <i>Bidens</i> species, except for the number of inflorescences. The achene size of <i>B. frondosa</i> was larger, but its pappus length was shorter than that of <i>B. pilosa</i>. Two species demonstrated opposite plastic responses of pappus length to fertilization. These results suggest that the plasticity of functional traits does not significantly contribute to the invasive success of <i>B. frondosa</i>. The dispersal efficiency of <i>B. frondosa</i> is expected to be lower than that of <i>B. pilosa</i>, suggesting that long-distance dispersal is likely not a critical factor in determining invasive success.</p>
Supplementary material 2 from: Muñoz-Mas R, Carrete M, Castro-Díez P, Delibes-Mateos M, Jaques JA, López-Darias M, Nogales M, Pino J, Traveset A, Turon X, Vilà M, García-Berthou E (2021) Management of invasive alien species in Spain: a bibliometric review. NeoBiota 70: 123-150. https://doi.org/10.3897/neobiota.70.68202
Table S1. Table of features, categories and definitions used to characterise the compiled literature
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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
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.