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634 results for “Plant invasions”
Supplementary material 1 from: Huisman SN, Jesse WAM, Ellers J, van Beukering PJH (2021) Mapping the economic loss of ecosystem services caused by the invasive plant species Antigonon leptopus on the Dutch Caribbean Island of St. Eustatius. One Ecosystem 6: e72881. https://doi.org/10.3897/oneeco.6.e72881
Tree cover map St. Eustatius
Supplementary material 3 from: Huisman SN, Jesse WAM, Ellers J, van Beukering PJH (2021) Mapping the economic loss of ecosystem services caused by the invasive plant species Antigonon leptopus on the Dutch Caribbean Island of St. Eustatius. One Ecosystem 6: e72881. https://doi.org/10.3897/oneeco.6.e72881
Important birding areas St. Eustatius
Supplementary material 2 from: Huisman SN, Jesse WAM, Ellers J, van Beukering PJH (2021) Mapping the economic loss of ecosystem services caused by the invasive plant species Antigonon leptopus on the Dutch Caribbean Island of St. Eustatius. One Ecosystem 6: e72881. https://doi.org/10.3897/oneeco.6.e72881
Iguana sightings map St. Eustatius
Supplementary material 4 from: Huisman SN, Jesse WAM, Ellers J, van Beukering PJH (2021) Mapping the economic loss of ecosystem services caused by the invasive plant species Antigonon leptopus on the Dutch Caribbean Island of St. Eustatius. One Ecosystem 6: e72881. https://doi.org/10.3897/oneeco.6.e72881
Morning Glory map St. Eustatius
Supplementary material 5 from: Huisman SN, Jesse WAM, Ellers J, van Beukering PJH (2021) Mapping the economic loss of ecosystem services caused by the invasive plant species Antigonon leptopus on the Dutch Caribbean Island of St. Eustatius. One Ecosystem 6: e72881. https://doi.org/10.3897/oneeco.6.e72881
Dive sites around St. Eustatius
Global invasion history of the emerging plant pathogen Phytophthora multivora
<p><b>Abstract </b></p> <p><strong>Background: g</strong>lobal trade in living plants and plant material has significantly increased the geographic distribution of many plant pathogens. As a consequence, several pathogens have been first found and described in their introduced range where they may cause severe damage on naïve host species. Knowing the center of origin and the pathways of spread of a pathogen is of importance for several reasons, including identifying natural enemies and reducing further spread. Several <i>Phytophthora</i> species are well-known invasive pathogens of natural ecosystems, including <i>Phytophthora multivora.</i> Following the description of <i>P. multivora</i> from dying native vegetation in Australia in 2009, the species was subsequently found to be very common in South Africa where it does not cause any remarkable disease. There are now reports of <i>P. multivora</i> from many other countries worldwide, but not as a commonly encountered species in natural environments.</p> <p><strong>Results: </strong>a global collection of 335 isolates from North America, Europe, Africa, Australia, the Canary Islands, and New Zealand was used to unravel the worldwide invasion history of <i>P. multivora,</i> using 10 microsatellite markers for all isolates and sequence data from five loci from 94 representative isolates. Our population genetic analysis revealed an extremely low heterozygosity, significant non-random association of loci and substantial genotypic diversity suggesting the spread of <i>P. multivora</i> readily by both asexual and sexual propagules. The<i> P. multivora</i> populations in South Africa, Australia, and New Zealand show the most complex genetic structure, are well established and evolutionary older than those in Europe, North America and the Canary Islands.</p> <p><strong>Conclusions: a</strong>ccording to conducted analyses, the world invasion of <i>P. multivora</i> most likely commenced from South Africa, which can be considered the center of origin of the species. The pathogen was then introduced to Australia, which acted as bridgehead population for Europe and North America. Our study highlighted a complex global invasion pattern of <i>P. multivora</i>, including both direct introductions from the native population and secondary spread/introductions from bridgehead populations.</p>
Supplementary material 5 from: Anđelković AA, Pavlović DM, Marisavljević DP, Živković MM, Novković MZ, Popović SS, Cvijanović DL, Radulović SB (2022) Plant invasions in riparian areas of the Middle Danube Basin in Serbia. NeoBiota 71: 23-48. https://doi.org/10.3897/neobiota.71.69716
Tables
Supplementary material 1 from: Liu M-C, Dong T-F, Feng W-W, Qu B, Kong D-L, van Kleunen M, Feng Y-L (2022) Leaf trait differences between 97 pairs of invasive and native plants across China: effects of identities of both the invasive and native species. NeoBiota 71: 1-22. https://doi.org/10.3897/neobiota.71.71385
Figure S1–S7
Supplementary material 2 from: Liu M-C, Dong T-F, Feng W-W, Qu B, Kong D-L, van Kleunen M, Feng Y-L (2022) Leaf trait differences between 97 pairs of invasive and native plants across China: effects of identities of both the invasive and native species. NeoBiota 71: 1-22. https://doi.org/10.3897/neobiota.71.71385
Table S1, S2, S4
Supplementary material 3 from: Anđelković AA, Pavlović DM, Marisavljević DP, Živković MM, Novković MZ, Popović SS, Cvijanović DL, Radulović SB (2022) Plant invasions in riparian areas of the Middle Danube Basin in Serbia. NeoBiota 71: 23-48. https://doi.org/10.3897/neobiota.71.69716
Figure S3
Supplementary material 3 from: Liu M-C, Dong T-F, Feng W-W, Qu B, Kong D-L, van Kleunen M, Feng Y-L (2022) Leaf trait differences between 97 pairs of invasive and native plants across China: effects of identities of both the invasive and native species. NeoBiota 71: 1-22. https://doi.org/10.3897/neobiota.71.71385
Table S3
Supplementary material 2 from: Anđelković AA, Pavlović DM, Marisavljević DP, Živković MM, Novković MZ, Popović SS, Cvijanović DL, Radulović SB (2022) Plant invasions in riparian areas of the Middle Danube Basin in Serbia. NeoBiota 71: 23-48. https://doi.org/10.3897/neobiota.71.69716
Geographical distribution data of the studied invasive alien speces
Supplementary material 4 from: Anđelković AA, Pavlović DM, Marisavljević DP, Živković MM, Novković MZ, Popović SS, Cvijanović DL, Radulović SB (2022) Plant invasions in riparian areas of the Middle Danube Basin in Serbia. NeoBiota 71: 23-48. https://doi.org/10.3897/neobiota.71.69716
Figure S4
Supplementary material 6 from: Anđelković AA, Pavlović DM, Marisavljević DP, Živković MM, Novković MZ, Popović SS, Cvijanović DL, Radulović SB (2022) Plant invasions in riparian areas of the Middle Danube Basin in Serbia. NeoBiota 71: 23-48. https://doi.org/10.3897/neobiota.71.69716
Table
Supplementary material 1 from: Van De Walle R, Massol F, Vandegehuchte ML, Bonte D (2022) The distribution and impact of an invasive plant species (Senecio inaequidens) on a dune building engineer (Calamagrostis arenaria). NeoBiota 72: 1-23. https://doi.org/10.3897/neobiota.72.78511
Tables S1, S2, Figures S1, S2
Importance of invasion mechanisms varies with abiotic context and plant invader growth form
<p><span>1. Many invasion hypotheses propose biotic interactions as the main mechanism to explain non-native species' success. Despite the evidence that the strength of biotic interactions varies with abiotic context, it remains unclear whether the importance of the different mechanisms proposed to explain invasion predictably varies with abiotic context and whether this variation is consistent across different growth forms.</span></p> <p><span>2. We reviewed studies at a global scale to evaluate whether evapotranspiration, latitude, precipitation, and temperature influence the importance of disturbance, enemy release, facilitation, and novel weapons mechanisms to explain non-native plant invasions. In total, we calculated 171 effect sizes for ~300 non-native plant species covering a wide range of environmental conditions and growth forms.</span></p> <p><span>3. Environmental context and plant growth form influenced the role played by each invasion mechanism. The importance of disturbance in facilitating invasion exhibited a quadratic relationship with latitude and temperature and decreased with increasing precipitation. In mixed communities and trees, disturbance was mediated by either evapotranspiration, latitude, precipitation, or temperature. Enemy release exhibited a quadratic relationship with evapotranspiration, latitude, and precipitation, and was positively related to temperature. The importance of enemy release was also contingent on growth form and was highly context-dependent, enemy release responses for grasses, and trees were modulated by either evapotranspiration, latitude, precipitation, or temperature. The importance of facilitation decreased with increasing temperature. In forbs, facilitation decreased with evapotranspiration and temperature. The importance of novel weapons was more strongly confirmed for studies conducted at lower evapotranspiration, precipitation, and higher latitudes, and exhibited a quadratic relationship with temperature.</span></p> <p><span>4. Synthesis. Our results show that environmental conditions not only filter non-native species depending on physiological tolerances but may also influence the importance of invasion mechanisms.</span></p>
Supplementary material 3 from: Kendig AE, Canavan S, Anderson PJ, Flory SL, Gettys LA, Gordon DR, Iannone III BV, Kunzer JM, Petri T, Pfingsten IA, Lieurance D (2022) Scanning the horizon for invasive plant threats using a data-driven approach. NeoBiota 74: 129-154. https://doi.org/10.3897/neobiota.74.83312
Table S2
Supplementary material 2 from: Kendig AE, Canavan S, Anderson PJ, Flory SL, Gettys LA, Gordon DR, Iannone III BV, Kunzer JM, Petri T, Pfingsten IA, Lieurance D (2022) Scanning the horizon for invasive plant threats using a data-driven approach. NeoBiota 74: 129-154. https://doi.org/10.3897/neobiota.74.83312
Table S1
Supplementary material 4 from: Kendig AE, Canavan S, Anderson PJ, Flory SL, Gettys LA, Gordon DR, Iannone III BV, Kunzer JM, Petri T, Pfingsten IA, Lieurance D (2022) Scanning the horizon for invasive plant threats using a data-driven approach. NeoBiota 74: 129-154. https://doi.org/10.3897/neobiota.74.83312
Table S3
Supplementary material 5 from: Kendig AE, Canavan S, Anderson PJ, Flory SL, Gettys LA, Gordon DR, Iannone III BV, Kunzer JM, Petri T, Pfingsten IA, Lieurance D (2022) Scanning the horizon for invasive plant threats using a data-driven approach. NeoBiota 74: 129-154. https://doi.org/10.3897/neobiota.74.83312
Table S4
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.