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1,074 results for “invasive species”
Fig. 1 in Molecular evidence of hybridisation in two invasive species of Pomacea (Gastropoda: Ampullariidae) in Peninsular Malaysia
Fig. 1. Geographical location and habitat type of sampling sites of Pomacea species in Peninsular Malaysia.
Fig. 4 in Molecular evidence of hybridisation in two invasive species of Pomacea (Gastropoda: Ampullariidae) in Peninsular Malaysia
Fig. 4. Median-joining haplotype network of Pomacea canaliculata and P. maculata sequences from Peninsular Malaysia (N=108 from 90 individuals) and the native ranges (N=105) based on 409 nucleotides of the EF1α gene. The network shows the relationship between haplotypes from different geographic regions based on sequence similarity. Unique sequences within each individual were included in the alignment (sequences for homozygotes were not doubled). Node colours represent the (A) geographic location and (B) species identity of the sequences (see legends). Each node represents a unique haplotype and node size is proportional to the haplotype frequency. Branches between nodes indicate a single nucleotide substitution unless denoted by numerical values for multiple nucleotide substitutions. Red (A) and black (B) nodes represent hypothetical ancestors or unsampled haplotypes. Two major groups are framed in grey dotted lines; P. canaliculata and P. maculata.
Fig. 3 in Molecular evidence of hybridisation in two invasive species of Pomacea (Gastropoda: Ampullariidae) in Peninsular Malaysia
Fig. 3. Bayesian inference phylograms depicting relationship of P. canaliculata and P. maculata from Peninsular Malaysia and Pomacea spp. from other regions based on the (A) mitochondrial COI and (B) nuclear EF1α markers. Kuantan, Tasik ChinChin, Limbat Lembu, Subang Jaya, Putrajaya, Guar Cempedak, Pasir Gudang, Sekinchan, and Temoh refer to geographic locations in Peninsular Malaysia where specimens in this study were collected. Bayesian posterior probabilities/maximum likelihood bootstrap supports are indicated by nodal values. Pomacea difussa and P. scalaris were used to root the phylogenies. Pomacea canaliculata and P. maculata clades are highlighted in green and blue, respectively. Underlined taxa marked with '*' indicate interspecific heterozygous individuals whereas taxa in red and marked with '**' are COI-EF1α mito-nuclear incongruences.
Fig. 2 in Molecular evidence of hybridisation in two invasive species of Pomacea (Gastropoda: Ampullariidae) in Peninsular Malaysia
Fig. 2. Representative agarose gel electrophoresis image showing the ApaLI-digested EF1α amplicons for 14 specimens from Putrajaya. The single band, two-band, and three-band RFLP profiles indicate Pomacea canaliculata, P. maculata, and interspecific heterozygous hybrids, respectively.
Supplementary material 1 from: Motloung R, Robertson M, Rouget M, Wilson J (2014) Forestry trial data can be used to evaluate climate-based species distribution models in predicting tree invasions. NeoBiota 20: 31-48. https://doi.org/10.3897/neobiota.20.5778
Current and potential distributions of sixteen species that are not widespread in southern Africa arranged on the basis of their suitable range size : a) Acacia paradoxa, b) A. cultriformis, c) A. falciformis, d) A. pendula, e) A. rubida, f) A. stricta, g) A. retinodes, h) A. fimbriata, i) A. aneura, j) A. viscidula, k) A. acuminata, l) A. adunca, m) A. binervata, n) A. schinoides, o) A. prominens, p) A. mangium. The grey shading indicates areas that SDMs have identified as suitable by SDMs while the white ones are unsuitable.
Data and code for Reeb, R.A. & Kuebbing, S.E. (2024). Phenology mediates direct and indirect interactions among co-occurring invasive plant species. Ecology, e4446.
<p>Data and analysis code for:</p> <p>Reeb, R.A. & Kuebbing, S.E. (2024). Phenology mediates direct and indirect interactions among co-occurring invasive plant species. Ecology, e4446. <a href="https://doi.org/10.1002/ecy.4446">https://doi.org/10.1002/ecy.4446</a></p> <p>Repository contains R markdown analysis code, datasets, and the associated metadata file.</p>
IPBES Invasive Alien Species Assessment: Summary for Policymakers. Figures, tables and captions in Arabic
<p>Arabic translations of the figures, tables and their captions from the Summary for Policymakers of the 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: Summary for Policymakers. Figures, tables and captions in Chinese
<p>Chinese translations of the figures, tables and their captions from the Summary for Policymakers of the 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: Summary for Policymakers. Figures, tables and captions in French
<p>French translations of the figures, tables and their captions from the Summary for Policymakers of the 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: Summary for Policymakers. Figures, tables and captions in Russian
<p>Russian translations of the figures, tables and their captions from the Summary for Policymakers of the Thematic Assessment Report on Invasive Alien Species and their Control of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services.</p>
Figure 3 in America's Most Wanted Fishes: cataloging risk assessments to prioritize invasive species for management action
Figure 3. The proportion of risk statuses of fish families with four or more species assessed at the extent of Florida. Panel (A) shows the proportion of species with high, moderate, low, multiple, and undetermined risk statuses of assessed species (total number of species evaluated in a family). Panel (B) shows the ratio of assessed to unassessed species in a given family (total species in a family). Total species in a family were obtained from FishBase (Froese and Pauly 2023).
Figure 3 in Mowing inhibits the invasion of the alien species Solidago altissima and is an effective management strategy
Figure 3. (a) Aboveground biomass of S. altissima in September 2019. (b) Biomass of rhizomes of S. altissima in September 2019. Mowing 1: mowed once in July; Mowing 2: mowed twice in May and September; Mowing 3: mowed three times in May, July, and September. Data are presented as means ± standard errors of 14 replicates. Bars with different letters are significantly different at p <0.05 (ANOVA with post hoc Tukey's test).
Figure 1 in America's Most Wanted Fishes: cataloging risk assessments to prioritize invasive species for management action
Figure 1. The proportion of risk statuses of fish families with four or more species assessed at the extent of the conterminous U.S. Panel (A) shows the proportion of species with high, moderate, low, multiple, and undetermined risk statuses of assessed species (total number of species evaluated in a family). Panel (B) shows the ratio of assessed to unassessed species in a given family (total species in a family). Total species in a family were obtained from FishBase (Froese and Pauly 2023).
Figure 4 in Mowing inhibits the invasion of the alien species Solidago altissima and is an effective management strategy
Figure 4. Effects of control practices on flowering rates of S. altissima in October 2019. Mowing 1: mowed once in July; Mowing 2: mowed twice in May and September; Mowing 3: mowed three times in May, July, and September. Data are presented as means ± standard errors of 14 replicates. Bars with different letters are significantly different at p <0.05 (ANOVA with post hoc Tukey's test).
Figure 2 in America's Most Wanted Fishes: cataloging risk assessments to prioritize invasive species for management action
Figure 2. The proportion of risk statuses of fish families with four or more species assessed at the extent of the Great Lakes region. Panel (A) shows the proportion of species with high, moderate, low, multiple, and undetermined risk statuses of assessed species (total number of species evaluated in a family). Panel (B) shows the ratio of assessed to unassessed species in a given family (total species in a family). Total species in a family were obtained from FishBase (Froese and Pauly 2023).
Figure 1 in Novel tools and best practices for education about invasive alien species
Figure 1. On the right: Franz Josef Glacier School student recording a European alder (Alnus glutinosa) sapling using the iNat app, New Zealand (Photo: Murray Dawson). On the left: High school students measuring tree diameter in an urban park, Portugal (Photo: Hélia Marchante) and the excavation of Bohemian knotweed (Fallopia bohemica) during a KORINA science camp, Germany (Photo: Katrin Schneider).
Figure 1 in Mowing inhibits the invasion of the alien species Solidago altissima and is an effective management strategy
Figure 1. (a) Coverage of S. altissima and (b) the average number of species per quadrat in the S. altissima-dominant areas or uninvaded areas. Data are presented as means ± standard errors of 14 replicates. Bars with different letters are significantly different at p <0.05 (Student's t-test).
Figure 2 in Mowing inhibits the invasion of the alien species Solidago altissima and is an effective management strategy
Figure 2. Number of shoots of S. altissima in March 2018 and April 2019. Mowing 1: mowed once in July; Mowing 2: mowed twice in May and September; Mowing 3: mowed three times in May, July, and September; Eco 200: 30% of shoots in the quadrats were cut near the ground, and the cut surfaces were covered with Eco 200 block. Data are presented as means ± standard errors of 14 replicates. Bars with different letters are significantly different at p <0.05 (ANOVA with post hoc Tukey's test).
Figure 3 in Getting to a decision: using structured decision-making to gain consensus on approaches to invasive species control
Figure 3. Total multi-attribute utility including all weighted objectives for responding to smallmouth bass in Cultus Lake, BC, across all management activities. Each utility was on a scale from 0-1, so the multi-attribute scale also ranges from 0–1.
Figure 1 in Getting to a decision: using structured decision-making to gain consensus on approaches to invasive species control
Figure 1. Steps involved in structured decision-making. Steps can be re-evaluated at any point; responses should be re-evaluated once new data is gathered following implementation. Adapted from Liu and Cook (2016).
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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.