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28 results for “invasive alien plant species”

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zenodo40/100

Linked collectors and determiners for: Invasive Alien plant species of Malawi.

Natural history specimen data linked to collectors and determiners held within, "Invasive Alien plant species of Malawi". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/6183f1f7-0513-4587-bee6-cad11e23002d">https://bionomia.net/dataset/6183f1f7-0513-4587-bee6-cad11e23002d</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/6183f1f7-0513-4587-bee6-cad11e23002d">https://gbif.org/dataset/6183f1f7-0513-4587-bee6-cad11e23002d</a>. Formatted as a Frictionless Data package.

opencc-zeroJan 2024View details →
dryad36/100

Data from: Plant-soil feedback contributes to predicting plant invasiveness of 68 alien plant species differing in invasive status

<p>Understanding what species characteristics allow some alien plants to become invasive while others fail is critical to our understanding of community assembly processes. While many characteristics have been shown to predict plant invasiveness, the importance of plant-soil feedback (PSF) in invasions has been difficult to assess since individual studies include only a few species and use disparate methodology. We studied PSF of 68 invasive and non-invasive alien species in a single two-phase common garden experiment, and compared the relative importance of PSF, residence time, phylogenetic novelty and plant traits for plant invasiveness. Additionally, we explored relationships between PSF, residence time and phylogenetic novelty. PSF for seedling establishment, but not for biomass, was a significant predictor of invasive status, with invasive species having more positive PSF than non-invasive species. Its explanatory power was, however, much lower than that of specific leaf area, height, and residence time. Phylogenetically novel species experienced less negative PSF than species with native congeners, suggesting they benefit more from enemy release. PSF of non-invasive species, contrary to that of invasive species, was becoming more negative with increasing residence time. We demonstrated that PSF for seedling establishment plays a role in predicting plant invasiveness and is a better predictor than more commonly studied PSF for plant biomass. Other species traits, such as specific leaf area, however, predict plant invasiveness much better than the PSF.</p>

opencc-zeroMay 2020View details →
dryad36/100

Alien plant species are precursors for invasion: a case study of Alternanthera brasiliana (L.) Kuntze in Ile-Ife (Nigeria)

<p>The impact of <em>Alternanthera brasiliana</em> on vegetation and soil seed bank was assessed in Ile-Ife, Nigeria. Ten sample plots, 10 m x 10 m each, were established in invaded plant communities with high density of <em>Alternanthera brasiliana</em> and adjacent uninvaded plant communities where the weed species has low density. In each sample plot, twenty 1 m x 1 m quadrats were randomly laid and all rooted plant species were identified and counted. Post-dispersal soil seed bank was collected by randomly taking five core samples of top soil per sample plot to estimate the soil seed bank density and floristics of the sites. The species composition of soil seed bank was compared with that of the above-ground vegetation so as to assess the invader's impact on the vegetation using Sorensen's index of similarity. The results showed that <em>Alternanthera brasiliana</em> invasion significantly impacted on the species diversity (<em>t</em> = 5.27; <em>df</em> = 18; <em>p</em> = 0.0003) and evenness of species distribution (<em>t</em> = 4.50; <em>df</em> = 18; <em>p</em> = 0.00005) in the aboveground vegetation, and the species diversity (<em>t</em> = 5.37; <em>df</em> = 18; <em>p</em> = 0.00004) and evenness of species distribution (<em>t</em> = 6.19; <em>df</em> = 18; <em>p</em> &lt; 0.0001) in the soil seed bank. This study concluded that <em>Alternanthera brasiliana</em> has significantly caused alterations in key parameters of the aboveground vegetation and those of the soil seed bank. It is likely that with increasing resident time, these alterations might increase more significantly to enhance the spread of <em>Alternanthera brasiliana</em>.</p>

opencc-zeroMar 2024View details →
dryad36/100

Alien plant species are precursors for invasion: a case study of Alternanthera brasiliana (L.) Kuntze in Ile-Ife (Nigeria)

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publicMar 2024View details →
dryad36/100

Data from: Plant-soil feedback contributes to predicting plant invasiveness of 68 alien plant species differing in invasive status

Open the record for dataset details and reuse information.

publicMay 2020View details →
dryad36/100

Native plant species are more resistant than invasive aliens to escalating environmental change factors

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publicMay 2025View details →
zenodo32/100

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

opencc-zeroDec 2020View details →
dryad32/100

Prioritizing terrestrial invasive alien plant species for management in urban ecosystems

<p>1. Invasive alien plant species (IAPs) in urban areas can have detrimental effects on biodiversity, ecosystem services and human well-being. Urban areas are complex social management mosaics with high land-use diversity, complex land tenure patterns, and many different stakeholder groups, some of which derive benefits from invading species. Urban conservation practitioners face complex decisions about which IAPs require management. Yet most IAPs prioritization frameworks have been designed for and implemented in natural or rural areas and are generally inadequate for guiding effective and sustainable interventions in urbanized areas.</p> <p>2. We modified an existing prioritization scheme to develop a framework for prioritizing terrestrial IAPs in urban areas which applies evidence-based (data-driven) and stakeholder-based (local knowledge) assessments to score and rank alien plant species in terms of their priority for management using an objective set of criteria.</p> <p>3. The framework consists of forty-six criteria, grouped into eight modules which assess invasion status, habitat requirements, biological characteristics, dispersal ability, distribution, impact (positive and negative), and potential for control for each alien plant species under consideration.</p> <p>4. We use the city of Toronto, Canada as a case study to test our framework – a list of 50 IAPs were effectively scored and ranked in order of high to low priority for control. Species with the highest <i>total prioritization scores</i> were <i>Vincetoxicum</i> <i>rossicum</i> (Dog Strangling Vine), <i>Convolvulus</i> <i>arvensis</i> (Field Bindweed) and <i>Taraxacum</i> <i>officinale</i> (Common Dandelion) (ranked 1, 2 and 3, respectively).</p> <p>5. Many of the identified high priority species align with the those previously flagged as of management concern by conservation practitioners, but also include those that are not actively managed due to their perceived lower ecological impacts. These species still require high resource investment for other objectives such as aesthetics. This highlights the complexity of alien plant species management in urban areas.</p> <p>6.<i> Synthesis and applications. </i>Prioritizing invasive alien plants for management in urban areas is particularly challenging due to often conflicting ecological, economic, and social objectives. We use available evidence and local stakeholder knowledge to develop an objective and systematic prioritization tool which can assist conservation practitioners in selecting priority species for management action in complex urban landscapes.</p>

opencc-zeroJan 2022View details →
zenodo32/100

Supplementary material 2 from: Sirbu C, Miu IV, Gavrilidis AA, Gradinaru SR, Niculae IM, Preda C, Oprea A, Urziceanu M, Camen-Comanescu P, Nagoda E, Sirbu IM, Memedemin D, Anastasiu P (2022) Distribution and pathways of introduction of invasive alien plant species in Romania. NeoBiota 75: 1-21. https://doi.org/10.3897/neobiota.75.84684

Appendix S2. Altitudinal range of invasive and potentially invasive alien plant species recorded in Romania

opencc-zeroAug 2022View details →
zenodo32/100

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 = &gt;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.

opencc-by-4.0Sep 2016View details →
zenodo32/100

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.

opencc-by-4.0Sep 2016View details →
zenodo32/100

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.

opencc-by-4.0Sep 2016View details →
zenodo32/100

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 :

opencc-by-4.0Sep 2016View details →
zenodo32/100

Supplementary material 3 from: Zimmermann H, Loos J, von Wehrden H, Fischer J (2015) Aliens in Transylvania: risk maps of invasive alien plant species in Central Romania. NeoBiota 24: 55-65. https://doi.org/10.3897/neobiota.24.7772

Risk maps for all eight study species.: Explanation note: Risk maps for all eight study species derived from the MAXENT model.

opencc-by-4.0Jan 2015View details →
zenodo32/100

Supplementary material 2 from: Zimmermann H, Loos J, von Wehrden H, Fischer J (2015) Aliens in Transylvania: risk maps of invasive alien plant species in Central Romania. NeoBiota 24: 55-65. https://doi.org/10.3897/neobiota.24.7772

Check for sampling bias.: Explanation note: We checked our dataset for sampling bias, that is the distribution of presence points (N = 1484) at different road distances.

opencc-by-4.0Jan 2015View details →
zenodo32/100

Supplementary material 1 from: Zimmermann H, Loos J, von Wehrden H, Fischer J (2015) Aliens in Transylvania: risk maps of invasive alien plant species in Central Romania. NeoBiota 24: 55-65. https://doi.org/10.3897/neobiota.24.7772

Table of species localities.: Explanation note: Table of all species localities (latitude and longitude in decimal degrees, WGS 84).

opencc-by-4.0Jan 2015View details →
dryad32/100

Prioritizing terrestrial invasive alien plant species for management in urban ecosystems

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publicJan 2022View details →
zenodo28/100

Supplementary material 2 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 S2. Basic information obtained for 49 exotic plants in Chile

opencc-zeroDec 2020View details →
zenodo28/100

Supplementary material 3 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

Map of the species

opencc-zeroDec 2020View details →
zenodo28/100

Supplementary material 1 from: Bitani N, Shivambu TC, Shivambu N, Downs CT (2022) An impact assessment of alien invasive plants in South Africa generally dispersed by native avian species. NeoBiota 74: 189-207. https://doi.org/10.3897/neobiota.74.83342

Table S1

opencc-zeroJul 2022View details →

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dandi-nwb
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Last verified 2026-04-29Open record