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1,074 results for “invasive species”
Figure 1 Aceria alhagi n in A new Aceria species (Acari:Trombidiformes: Eriophyoidea) from West Asia, a potential biological control agent for the invasive weed camelthorn, Alhagi maurorum Medik. (Leguminosae)
Figure 1 Aceria alhagi n.sp.: AD – Antero-dorsal mite; AL – Antero-lateral view of mite; CG – Coxigenital region of female; em – Empodium; GM – Genital region of male; IG – Internal female genitalia; L1 – Leg I of female; LO – Lateral opisthosoma; PM – Postero-lateral mite. Scale bar: 20μm for AD, AL,CG, GM, IG, LO, PM; 10μm for L1; 5μm for em.
Figure 2 SEM images ofAceria alhagi n in A new Aceria species (Acari:Trombidiformes: Eriophyoidea) from West Asia, a potential biological control agent for the invasive weed camelthorn, Alhagi maurorum Medik. (Leguminosae)
Figure 2 SEM images ofAceria alhagi n. sp.: A – prodorsal shield; B – tarsal empodia on legs I and II; C – ventral view of coxigenital area of female; D – ventral view of coxigenital area of male.
Data from: Quantifying and linking mechanism scenarios to invasive species impact
<p>Plant species invasion represents one of the major drivers of biodiversity change globally, yet there is confusion about the nature of non-indigenous species (NIS) impact. This stems from differing notions of what constitutes invasive species impact and the scales at which it should be assessed. At local scales, the mechanisms of impact on local competitors can be classified into four scenarios: 1) minimal impact from NIS inhabiting unique niches; 2) neutral impact spread across the community and proportional to NIS abundance; 3) targeted impact on a small number of competitors with overlapping niches; and 4) pervasive impact that is disproportionate to NIS abundance and caused by modifications that filter out other species. I developed a statistical test to distinguish these four mechanism scenarios based on plant community rank-abundance curves and then created a scale-independent standardized impact score. Using an example long-term dataset, that has high native plant diversity and an abundance gradient of the invasive vine, <em>Vincetoxicum rossicum</em>, I show that impact resulted in either targeted or pervasive extirpations. Regardless of whether NIS impact is neutral, targeted, or pervasive, the net outcome will be the homogenization of ecosystems and reduced biodiversity at larger scales, perhaps reducing ecosystem resilience. The framework and statistical evaluation of impact presented in this paper provide researchers and managers with an objective approach to quantifying NIS impact and prioritizing species for further management actions.</p>
Table S1 - Economic Costs of Protecting Islands from Invasive Alien Species
<p>Dataset analysed in relation to the paper 'Economic Costs of Protecting Islands from Invasive Alien Species' published in Conservation Biology in 2022</p>
Short-term effects of the control of an invasive plant Asclepias syriaca: secondary invasion of other neophytes instead of the recovery of native species
<p>Data sets to article: "Short-term effects of the control of an invasive plant <em>Asclepias syriaca</em>: secondary invasion of other neophytes instead of the recovery of native species".</p> <p>We studied the impact of <em>Asclepias syriaca</em>, a non-native herb species, on basic soil attributes and vegetation composition in sandy grasslands and the effect of mechanical control of this species. The <em>Asclepias </em>invasion changed the vegetation composition, but not the studied soil attributes. The shot-term cutting suppressed <em>Asclepias</em>, but instead of the recovery of native species, secondary invasion by other alien species occurred.</p>
Nitrogen fixation responds to soil nitrogen at low but not high light in two invasive understory species
<p>Light and soil nitrogen availability can be strong controls of plant nitrogen (N) fixation, but data on how understory N-fixing plants respond to these drivers are limited despite their important role in ecosystem N cycling. Furthermore, ecosystem N cycling can be altered by the introduction of species with nutrient use patterns that differ from natives. We assessed how N fixation of two exotic, understory species responded to varying light and soil N environments. We sampled leaf tissue from <em>Mimosa pudica </em>L., <em>Desmodium triflorum</em> (L.) DC., and a non-fixing reference plant (<em>Axonopus</em>) growing in control and two N fertilization treatments under either N-fixing or non-N-fixing trees, which may alter local soil nutrient cycling, across a range of light conditions. We measured N fixation with <sup>15</sup>N isotope dilution, and ensured that N-fixing neighbor trees were in fact fixing N. All understory plants were wild-growing species not native to the study location. <em>Desmodium </em>and <em>Mimosa </em>acquired 82.6% and 71.6% of their nitrogen from fixation (%N<sub>dfa</sub>) in the control, compared to 66.8% and 58.1% in the +10 g N m<sup>−2</sup> y<sup>−1</sup> treatment and 73.1% and 64.7% in the +15 g N m<sup>−2</sup> y<sup>−1</sup> treatment. These subtle %N<sub>dfa</sub> differences across fertilization treatments were more apparent at low light availability and disappeared at high light availability. The amount of N fixed by neighboring trees did not influence %N<sub>dfa</sub> in the understory species. Our study shows some differences in N fixation across different nutrient environments at low light for two N-fixing species, though the changes were small, and both species derived most of their N from fixation. These findings imply that introduced N-fixing species could exacerbate ecosystem N enrichment, particularly under high soil N conditions</p>
Dataset: The aftermath of a trophic cascade: Increased anoxia following invasive species introduction of a eutrophic lake
<p>This repository includes the setup and output from the analysis ran on Lake Mendota to explore the trophic cascade caused by invasion of spiny water flea in 2010. Scripts to run the model are located under /src, and the processed results for the discussion of the paper are located under /data_processed.</p>
Fig. 2 in Native species Maxvachonia chabaudi Mawson, 1972 (Nematoda: Cosmocercoidea) found in the invasive marine toad Rhinella marina (Linnaeus) (Anura: Bufonidae) in Australia
Fig. 2. Scanning electron micrographs of Maxvachonia chabaudi Mawson, 1972 from the marine toad Rhinella marina (Linnaeus) (Anura: Bufonidae) in Australia, male. A – anterior part of body (lateral ala arrowed), lateral view; B – cephalic end (amphid arrowed), apical view; C, G – posterior end of different individuals (white arrows showing precloacal papillae, black arrow showing lateral ala), lateral view; D – magnified image of precloacal papilla; E – magnified image of postcloacal papilla; F – magnified image of cloacal region (white arrow showing precloacal medio-ventral papilla, black arrows showing paracloacal papillae); H – tail (white arrows showing postcloacal papillae, black arrow showing phasmid), lateral view; I – magnified image of phasmid. Abbreviations: d – dorsal lip; g – tip of gubernaculum; i – inner flange of lips; v – ventrolateral lip.
Fig. 3 in Native species Maxvachonia chabaudi Mawson, 1972 (Nematoda: Cosmocercoidea) found in the invasive marine toad Rhinella marina (Linnaeus) (Anura: Bufonidae) in Australia
Fig. 3. Scanning electron micrographs of Maxvachonia chabaudi Mawson, 1972 from the marine toad Rhinella marina (Linnaeus) (Anura: Bufonidae) in Australia, female. A – anterior part of body (excretory pore and vulva arrowed), ventral view; B – magnified im- age of excretory pore; C – magnified image of vulva; D – cephalic end (amphids arrowed), apical view; E – egg (small nipple arrowed); F – tail, lateral view; G – magnified image of tail tip. Abbreviations: d – dorsal lip; v – ventrolateral lip.
Data for: Range reshuffling: climate change, invasive species, and the case of Nothofagus forests in Aotearoa New Zealand
<p class="MsoNormal"><strong>Aim: </strong></p> <p class="MsoNormal">The impact of climate change on forest biodiversity and ecosystem services will be partly determined by the relative fortunes of invasive and native forest trees under future conditions. Aotearoa New Zealand has high conservation value native forests and one of the world's worst invasive tree problems. We assess the relative effects of habitat redistribution on native <em>Nothofagus </em>and invasive conifer (Pinaceae) species in New Zealand as a case study on the compounding impacts of climate change and tree invasions.</p> <p class="MsoNormal"><strong>Location: </strong></p> <p class="MsoNormal">Aotearoa New Zealand</p> <p class="MsoNormal"><strong>Methods: </strong></p> <p class="MsoNormal">We use species distribution models (SDMs) to predict the current and future distribution of habitat for five native <em>Nothofagus</em> species and 13 invasive conifer species under two 2070 climate scenarios. We calculate habitat loss/gain for all species and examine overlap between the invasive and native species now and in the future. </p> <p class="MsoNormal"><strong>Results: </strong></p> <p class="MsoNormal">Most species will lose habitat overall. The native species saw large changes in the distribution of habitat with extensive losses in North Island and gains mostly in South Island. Concerningly, we found that most new habitat for <em>Nothofagus </em>was also suitable for at least one invasive species. However, there were refugia for the native species in the wetter parts of the climate space.</p> <p class="MsoNormal"><strong>Main conclusion:</strong></p> <p class="MsoNormal">If the predicted changes in habitat distribution translate to shifts in forest distribution it would cause widespread ecological disruption. We discuss how acclimation, adaptation and biotic interactions may delay some changes. But we also highlight how the poor migration and establishment capacity of native <em>Nothofagus</em> and the competitive ability of invasive conifers will be a persistent conservation challenge in areas of both new habitat and forest retreat. Pinaceae are problematic invaders globally, and our results highlight that control of invasions and active native forest restoration will likely be key to managing forest biodiversity under future climates.</p>
The impact of species phylogenetic relatedness on invasion varies distinctly along resource versus nonresource environmental gradients
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Invasive spread in meta-food-webs depends on landscape structure, fertilization and species characteristics
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Data from: Rapid evolution of a native species following invasion by a congener
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Data from: Ecological mechanism of climate-mediated selection in a rapidly evolving invasive species
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Software for optimizing treatment to slow the spatial propagation of invasive species: Code and results
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Data from: Selectivity of invasive species suppression efforts influences control efficacy
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Path-finding algorithm as a dispersal assessment method for invasive species with human-vectored long-distance dispersal event
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Data from: Species distribution models of the Spotted Wing Drosophila (Drosophila suzukii, Diptera: Drosophilidae) in its native and invasive range reveal an ecological niche shift
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Data for: Range reshuffling: climate change, invasive species, and the case of Nothofagus forests in Aotearoa New Zealand
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Data from: Quantifying and linking mechanism scenarios to invasive species impact
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.