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709 results for “Non-native”

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dryad32/100

Data from: On the occurrence of three non-native cichlid species including the first record of a feral population of Pelmatolapia (Tilapia) mariae (Boulenger, 1899) in Europe

Thermally influenced freshwater systems provide suitable conditions for non-native species of tropical and subtropical origin to survive and form proliferating populations beyond their native ranges. In Germany, non-native convict cichlids (Amatitlania nigrofasciata) and tilapia (Oreochromis sp.) have established populations in the Gillbach, a small stream that receives warm water discharge from a local power plant. Here, we report on the discovery of spotted tilapia (Pelmatolapia mariae) in the Gillbach, the first record of a reproducing population of this species in Europe. It has been hypothesized that Oreochromis sp. in the Gillbach are descendants of aquaculture escapees and our mtDNA analysis found both O. mossambicus and O. niloticus maternal lineages, which are commonly used for hybrids in aquaculture. Convict cichlids and spotted tilapia were most probably introduced into the Gillbach by aquarium hobbyists. Despite their high invasiveness worldwide, we argue that all three cichlid species are unlikely to spread and persist permanently beyond the thermally influenced range of the Gillbach river system. However, convict cichlids from the Gillbach are known to host both native and non-native fish parasites and thus, non-native cichlids may constitute threats to the native fish fauna. We therefore strongly recommend continuous monitoring of the Gillbach and similar systems.

opencc-zeroDec 2016View details →
zenodo32/100

Supplementary material 1 from: Erdélyi A, Hartdégen J, Malatinszky Á, Vadász C (2023) Historical reconstruction of the invasions of four non-native tree species at local scale: a detective work on Ailanthus altissima, Celtis occidentalis, Prunus serotina and Acer negundo. One Ecosystem 8: e108683. https://doi.org/10.3897/oneeco.8.e108683

Derived data of Ailanthus altissima, Celtis occidentalis, Prunus serotina and Acer negundo from the National Forestry Database and its archives.

opencc-zeroOct 2023View details →
dryad32/100

Genome-wide SNP datasets for the non-native pink salmon in Norway

<p>Effective management of non-indigenous species requires knowledge of their dispersal factors and founder events. We aim to identify the main environmental drivers favouring dispersal events along the invasion gradient and to characterize the spatial patterns of genetic diversity in feral populations of the non-native pink salmon within its epicentre of invasion in Norway. We first conducted SDM using four modelling techniques with varying levels of complexity, which encompassed both regression-based and tree-based machine-learning algorithms, using climatic data from the present to 2050. Then we used the triple-enzyme restriction-site associated DNA sequencing (3RADseq) approach to genotype over 30,000 high-quality single-nucleotide polymorphisms to elucidate patterns of genetic diversity and gene flow within the pink salmon putative invasion hotspot. We discovered temperature- and precipitation-related variables drove pink salmon distributional shifts across its non-native ranges, and that climate-induced favourable areas will remain stable for the next 30 years. In addition, all SDMs identified north-eastern Norway as the epicentre of the pink salmon invasion, and genomic data revealed that there was minimal variation in genetic diversity across the sampled populations at a genome-wide level in this region. While, upon utilizing a specific group of 'diagnostic' SNPs, we observed a significant degree of genetic differentiation, ranging from moderate to substantial, and detected four hierarchical genetic clusters concordant with geography. Our findings suggest that fluctuations of climate extreme events associated with ongoing climate change will likely maintain environmental favourability for the pink salmon outside its 'native'/introduced ranges. Local invaded rivers are themselves a potential source population of invaders in the ongoing secondary spread of pink salmon in Northern Norway. Our study shows that SDMs and genomic data can reveal species distribution determinants and provide indicators to aid in post-control measures and potential inferences of their success.</p>

opencc-zeroFeb 2024View details →
zenodo32/100

FIGURE 2. Ascension oonopids, cont. A–B in On the identity of Opopaea euphorbicola Strand, 1909 and first records of three other non-native goblin spiders from Ascension Island (Araneae: Oonopidae)

FIGURE 2. Ascension oonopids, cont. A–B Heteroonops spinimanus (Simon, 1892) (ASC NE500), C–D Ischnothyreus peltifer (Simon, 1892) (ASC L17 2 PFJ). A, C habitus, dorsal view. B, D epigyne (undissected), ventral view. Scale bars = 1mm (A, C), 0.2mm (B, D).

opennotspecifiedApr 2024View details →
zenodo32/100

FIGURE 1. Ascension oonopids. A–G Opopaea euphorbicola Stand, 1909 in On the identity of Opopaea euphorbicola Strand, 1909 and first records of three other non-native goblin spiders from Ascension Island (Araneae: Oonopidae)

FIGURE 1. Ascension oonopids. A–G Opopaea euphorbicola Stand, 1909 (BMNH), H–I Brignolia dasysterna Platnick, Dupérré, Ott &amp; Kranz-Baltensperger, 2011 (ASC K17 2 LC). A–D neotype male (designated herein) of O. euphorbicola, A habitus, dorsal view, B same, ventral view, C palp, prolateral view, pink arrow indicates keel at tip of palpal bulb, D same, dorsoretrolateral view. E–G non-type female of O. euphorbicola, E habitus, dorsal view, F same, ventral view, G epigyne, ventral view. H–I B. dasysterna, H cephalothorax, ventral view, showcasing distinctive sternal morphology, indicated by pink arrow, I close-up of palp in dorso-prolateral view, pink arrow indicates keel at tip of palpal bulb. Scale bars = 0.2mm (A–B, E–F, H), 0.05mm (C–D, G, I).

opennotspecifiedApr 2024View details →
zenodo32/100

Supplementary material 1 from: Mally R, Ward SF, Trombik J, Buszko J, Medzihorský V, Liebhold AM (2021) Non-native plant drives the spatial dynamics of its herbivores: the case of black locust (Robinia pseudoacacia) in Europe. NeoBiota 69: 155-175. https://doi.org/10.3897/neobiota.69.71949

Table S1. First record locations of Parectopa robiniella, Macrosaccus robiniella and Obolodiplosis robiniae from Europe.

opencc-zeroNov 2021View details →
dryad32/100

Expansion of non-native plant Flaveria bidentis (L.) Kuntze driven by range of factors leading to patchy distribution patterns

<p><span>Given the growing concern over the ecological impacts of non-native species, exploring these species' expansion edge and distribution patterns and their driving factors is important for developing suitable management measures. <em>Flaveria bidentis</em> (L.) Kuntze, a non-native plant that was introduced to China in the 1990s, has spread from southern Hebei Province, where it first took root, to the surrounding regions and has become one of the most notorious invasive weeds in northern China. Based on 15 years (2006-2021) of extensive field investigations, the spatial distribution of sampling and occurrence points were mapped in the recently expanded region of <em>F. bidentis</em>' population. Then, nearest neighbor analysis used to characterize the spatial pattern differences between samplings and occurrences. An exponential decay function was used to elucidate the driving factors contributing to the presence and absence of <em>F. bidentis</em>. Our results demonstrated an effective random sampling setup, a heterogeneous spatial distribution of <em>F. bidentis</em>, and a multi-regional independent aggregation distribution pattern (<em>p</em>&lt;0.01). There were significant spatial correlations between the aggregation areas of plant occurrence points and the locations of roads and construction sand distribution centers. These findings suggest that human activities involving major roads and construction sand distribution centers were driving factors contributing to this long-distance dispersal and spatially discontinuous distribution patterns.</span><span class="MsoCommentReference"><span> </span></span><span class="MsoCommentReference"><span>The presence of these patchy distribution patterns has important implications for ongoing efforts to manage populations of non-native species.</span></span></p>

opencc-zeroAug 2022View details →
zenodo32/100

Supplementary material 1 from: Guilder J, Copp GH, Thrush MA, Stinton N, Murphy D, Murray J, Tidbury HJ (2022) Threats to UK freshwaters under climate change: Commonly traded aquatic ornamental species and their potential pathogens and parasites. 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: 73-108. https://doi.org/10.3897/neobiota.76.80215

Threats to UK freshwaters under climate change: Commonly traded aquatic ornamental species and their potential pathogens and parasites

opencc-zeroOct 2022View details →
zenodo32/100

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

opencc-zeroOct 2022View details →
zenodo32/100

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)

opencc-zeroOct 2022View details →
zenodo32/100

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.

opencc-zeroOct 2022View details →
zenodo32/100

Supplementary material 1 from: Zieritz A, Armas B, Aldridge D (2014) Registry of non-native species in the Two Seas region countries (Great Britain, France, Belgium and the Netherlands). NeoBiota 23: 65-80. https://doi.org/10.3897/neobiota.23.5665

Registry of non-native species in the Two Seas region countries (Great Britain, France, Belgium and the Netherlands): Explanation note: The MS Excel file contains two worksheets:

opencc-by-4.0Sep 2014View details →
zenodo32/100

Figure 7 in Comparison of non-native dwarf eelgrass (Zostera japonica) and native eelgrass (Zostera marina) distributions in a northeast Pacific estuary: 1997-2014

Figure 7: Frequency distributions at 0.25-m increments of tidal elevation in the study area: area of intertidal habitat (A), and percent occupancy by Zostera marina (B) and Zostera japonica (C) for 1997 and 2007.

opennotspecifiedJun 2015View details →
zenodo32/100

Figure 4 in Comparison of non-native dwarf eelgrass (Zostera japonica) and native eelgrass (Zostera marina) distributions in a northeast Pacific estuary: 1997-2014

Figure 4: Areal distributions of Zostera marina and Zostera japonica from classification of digital orthophotographs obtained from the July 2007 aerial survey of lower Yaquina Estuary.

opennotspecifiedJun 2015View details →
zenodo32/100

Figure 2 in Comparison of non-native dwarf eelgrass (Zostera japonica) and native eelgrass (Zostera marina) distributions in a northeast Pacific estuary: 1997-2014

Figure 2: Monthly average values (±95% CI) for percent cover of Zostera marina plants within the 1000-m2 monitoring zones off Idaho and Coquille Points, obtained from randomly-placed 0.25-m2 quadrats (1999–2002).

opennotspecifiedJun 2015View details →
zenodo32/100

Figure 5 in Comparison of non-native dwarf eelgrass (Zostera japonica) and native eelgrass (Zostera marina) distributions in a northeast Pacific estuary: 1997-2014

Figure 5: Area of Zostera marina and Zostera japonica as a function of distance from the mouth of Yaquina Estuary, from August normalised classifications of the digital orthophotographs obtained in 1997 and 2007.

opennotspecifiedJun 2015View details →
zenodo32/100

Figure 8 in Comparison of non-native dwarf eelgrass (Zostera japonica) and native eelgrass (Zostera marina) distributions in a northeast Pacific estuary: 1997-2014

Figure 8: Perimeters of Zostera japonica patches in Idaho Flat embayment, mapped via DGPS on foot (June 23, 2000 and August 13, 2014).

opennotspecifiedJun 2015View details →
zenodo32/100

Figure 3 in Comparison of non-native dwarf eelgrass (Zostera japonica) and native eelgrass (Zostera marina) distributions in a northeast Pacific estuary: 1997-2014

Figure 3: Seasonal variation in area of selected Zostera japonica meadows within Sallys Bend embayment, mapped via DGPS from a hovercraft (April 2011–November 2012).

opennotspecifiedJun 2015View details →
zenodo32/100

Figure 6 in Comparison of non-native dwarf eelgrass (Zostera japonica) and native eelgrass (Zostera marina) distributions in a northeast Pacific estuary: 1997-2014

Figure 6: Total (August normalised) area of intertidal Zostera marina (A) and Zostera japonica (B) in lower Yaquina Estuary from orthophotograph image classifications (Year 1 is 1997, Year 11 is 2007) and best-fit equations with 95% CI.

opennotspecifiedJun 2015View details →
zenodo32/100

Dataset associated with: Increasing presence of non-native plants and arbuscular mycorrhizal fungi during a 10-year survey along subarctic mountains roads

<p>Roads in cold climate mountains are known to be important vectors in the introduction and spread of non-native plant species. In the same context, mycorrhizal fungi communities are also altered by roads with a known positive effect on arbuscular mycorrhizal (AM) fungi diversity and abundance in disturbed roadsides. However, to what degree these two effects of roads are intertwined and how they are evolving over time is not well understood. In this study we conducted repeated surveys of non-native plants and AM fungi between 2012 and 2022, in the northern Scandes mountains to investigate temporal changes and interactions between roads, mycorrhizal fungi, and non-native plants. We found that the upward spread of non-native plants and lateral spread away from the roadside into the natural vegetation were so far extremely limited, with only two out of 23 non-native species showing an increase in their upper elevational limit. However, non-native plant species cover did increase over the ten year period, especially at lower elevations, and non-native richness increased from 17 to 23 species. Likewise, we saw an increase in AM fungal abundance over the last four years along the roadsides at lower elevations. Furthermore, our results suggest that increases in non-native species are unlikely to be the driving cause of the observed increase in AM fungal abundance, as AM fungi colonization varied independently of non-native species cover dynamics.&nbsp;</p> <p>This is the associated datasets and R-code. Check out the ReadMe.txt-file for information on the different files.</p>

opencc-by-4.0Dec 2023View details →

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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.

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Last verified 2026-04-29Open record