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Figure 2 from: Kalaycı G (2022) Pliocene-Pleistocene dispersal bring along low inter species diversity between Vimba species based on multilocus analysis. Zoosystematics and Evolution 98(1): 65-75. https://doi.org/10.3897/zse.98.76937
Figure 2 Median-joining network of the cyt b haplotypes. Circle size corresponds to sample size; one bar indicates an additional mutational step. Each small line represents one nucleotide difference.
Figure 3 from: Kalaycı G (2022) Pliocene-Pleistocene dispersal bring along low inter species diversity between Vimba species based on multilocus analysis. Zoosystematics and Evolution 98(1): 65-75. https://doi.org/10.3897/zse.98.76937
Figure 3 Median-joining network of the COI haplotypes. Circle size corresponds to sample size; one bar indicates an additional mutational step. Each small line represents one nucleotide difference.
Fig. 2 in New Species Of Praepusa (Carnivora, Phocidae, Phocinae) From The Netherlands Supports East To West Neogene Dispersal Of True Seals
Fig. 2. Humeri of Praepusa boeska sp. n., MAB 4686 holotype, right humerus, female, Miocene? the Antwerp Basin, Belgium: A —cranial view; B — lateral view; C — medial view; and MAB 4687, left humerus, male, Late Miocene — Early Pliocene (Tortonian–Piacenzian Stages, 11.5–3.5 Ma), sandpit de Kuilen (municipality of Mill-Langenboom), Noord-Brabant, S. E. Netherlands; D — cranial view; E — lateral view; F — caudal view.
Zero dispersion Kerr solitons in optical microresonators
<p>Execution tested with Matlab 2020a or newer on Windows. Unzip folder to access files.</p> <p><br> Contact miles.anderson@epfl.ch for any serious questions on the contents.<br> All matlab code remains under copyright by the authors: Miles Anderson and Tobias J. Kippenberg, and is provided solely to be used to reproduce the figures of the aforementioned paper and example simulation results pertaining to the paper.</p> <p>Figure data and generation code is found in "Figure and Video Data\Scripts and Data". Run matlab scripts in the given folder to generate the figures. Other relevant figures containing data is found in "\Other".</p> <p>Four example matlab simulation scripts are found in "Simulation Example Code".</p> <ul> <li>Running 'lle_cavity_v4_SwitchWaveBasic_2g_2' models stable switching wave formation from pulse-driven wave-breaking amidst an adiabatic laser scan of the resonator.</li> <li>'lle_cavity_v4_SwitchWaveBasic_5g_2' does the same but now with third-order dispersion enabled. The output is used to plot in Figure 2 of the main paper.</li> <li>Running 'lle_cavity_v4_CubicDKS_DispersionRotation7_4b' finds the solution to the LLE for a pulse-contained dissipative structure while the dispersion is cycled through the d2/d3 circle, producing the results shown in Figure 1 of the main paper, as well as Figure S1 in the supplementary information and the video.</li> <li>Running 'lle_SiNcavity_v4_CDSFormation_15b' uses experimental data to reproduce the experiment for the pulse-driven ZDS(4) according to the LLE, the results of which are shown in Figure 5(c,d) of the main paper, and Figure S4 of the supplementary information.</li> </ul> <p>The script parameters may be modified to find results under different driving conditions over different time periods as required.</p> <p>M. Anderson apologises in advance for the complexity, readability, and optimisation of the script.</p>
Data from: Selection and sex-biased dispersal in a coastal shark: the influence of philopatry on adaptive variation
Sex-biased dispersal is expected to homogenize nuclear genetic variation relative to variation in genetic material inherited through the philopatric sex. When site fidelity occurs across a heterogeneous environment, local selective regimes may alter this pattern. We assessed spatial patterns of variation in nuclear-encoded, single nucleotide polymorphisms (SNPs) and sequences of the mitochondrial control region in bonnethead sharks (Sphyrna tiburo), a species thought to exhibit female philopatry, collected from summer habitats used for gestation. Geographic patterns of mtDNA haplotypes and putatively neutral SNPs confirmed female philopatry and male-mediated gene flow along the northeastern coast of the Gulf of Mexico. A total of 30 outlier SNP loci were identified; alleles at over half of these loci exhibited signatures of latitude-associated selection. Our results indicate that in species with sex-biased dispersal, philopatry can facilitate sorting of locally adaptive variation, with the dispersing sex facilitating movement of potentially adaptive variation among locations and environments.
Surrogate modelling for the forecast of Seveso-type atmospheric pollutant dispersion - Online Resource 1
<p>Online Resource 1: Test-data response of GIM model.</p>
Improving measurements of the falling trajectory and terminal velocity of wind-dispersed seeds
<p>1. Seed dispersal by wind is one of the most important dispersal mechanisms in plants. The key seed trait affecting seed dispersal by wind is the effective terminal velocity (hereafter "terminal velocity", Vt), the maximum falling speed of a seed in still air. Accurate estimates of Vt are crucial for predicting intra- and interspecific variation in seed dispersal ability. However, existing methods produce biased estimates of Vt for slow- or fast-falling seeds, fragile seeds, and seeds with complex falling trajectories.</p> <p>2. We present a new video-based method that estimates the falling trajectory and Vt of wind-dispersed seeds. The design involves a mirror that enables a camera to simultaneously record a falling seed from two perspectives. Automated image analysis then determines three-dimensional seed trajectories at high temporal resolution. To these trajectories, we fit a physical model of free fall with air resistance to estimate Vt. We validated this method by comparing the estimated Vt of spheres of different diameters and materials to theoretical expectations, and by comparing the estimated Vt of seeds to measurements in a vertical wind tunnel.</p> <p>3. Vt estimates closely match theoretical expectations for spheres and vertical wind tunnel measurements for seeds. However, our Vt estimates for fast-falling seeds are markedly higher than those in an existing trait database. This discrepancy seems to arise because previous estimates inadequately accounted for seed acceleration. </p> <p>4. The presented method yields accurate, efficient and affordable estimates of the three-dimensional falling trajectory and terminal velocity for a wide range of seed types. The method should thus advance the understanding and prediction of wind-driven seed dispersal.</p>
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
Supplementary material 2 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 S2
FIGURE. 3a in Molecular investigation of the intra-specific genetic variation in Plantago ovata Forssk. (Plantaginaceae): An insight into potential ancestral area distribution and probable time of dispersal versus vicariance events
FIGURE. 3a: Brownish midrib of the bract; b: reddish-brown midrib on the corolla lobes in P. ovata.
Data for: Quantifying patch-specific seed dispersal and local population dynamics to estimate population spread of an endangered plant species
<p>Dataset on seed dispersal and population spread for the paper</p> <p class="Default"><span><b>Quantifying patch-specific seed dispersal and local population dynamics to estimate population spread of an endangered plant species</b></span></p> <p>Jinlei Zhu<sup>1, 2,</sup> *, Karolína Hrušková<sup>1, 3</sup>, Hana Pánková<sup>1</sup>, Zuzana Münzbergová<sup>1, 3</sup></p> <p><sup>1</sup>Institute of Botany, Czech Academy of Sciences, Průhonice, Czech Republic</p> <p class="Default"><span><sup>2</sup>Institute of Landscape and Plant Ecology, University of Hohenheim, Stuttgart, Germany</span></p> <p class="Default"><span><sup>3</sup>Department of Botany, Faculty of Science, Charles University, Prague, Czech Republic</span></p> <p class="Default"><span>*Corresponding author: jinlei.zhu@uni-hohenheim.de</span></p> <p>Institute of Landscape and Plant Ecology</p> <p>University of Hohenheim</p> <p>Ottilie-Zeller-Weg 2, 70599 Stuttgart, Germany</p>
Raw allelic matrix and supplementary materials: Origin and dispersion pathways of guava in the Galapagos Islands inferred through genetics and historical records
<p>Guava (<i>Psidium guajava</i>) is an aggressive invasive plant in the Galapagos Islands. Determining its provenance and genetic diversity could explain its adaptability and spread, and how this relates to past human activities. With this purpose, we analyzed 11 SSR markers in guava individuals from Isabela, Santa Cruz, San Cristobal and Floreana islands in the Galapagos, as well as from mainland Ecuador. The mainland guava population appeared genetically differentiated from the Galapagos populations, with higher genetic diversity levels found in the former. We consistently found that the Central Highlands region of mainland Ecuador is one of the most likely origins of the Galapagos populations. Moreover, the guavas from Isabela and Floreana show a potential genetic input from southern mainland Ecuador, while the population from San Cristobal would be linked to the coastal mainland regions. Interestingly, the proposed origins for the Galapagos guava coincide with the first human settlings of the archipelago. Through Approximate Bayesian Computation, we propose a model where San Cristobal was the first island to be colonized by guava from the mainland, then it would have spread to Floreana and finally to Santa Cruz; Isabela would have been seeded from Floreana. An independent trajectory could also have contributed in the invasion of Floreana and Isabela. The pathway shown in our model agrees with the human colonization history of the different islands in the Galapagos. Our model, in conjunction with the clustering patterns of the individuals (based on genetic distances), suggests that guava introduction history in the Galapagos archipelago was driven by either a single event or a series of introduction events in rapid succession. We thus show that genetic analyses supported by historical sources can be used to track the arrival and spread of invasive species in novel habitats and the potential role of human activities in such processes.</p>
Seed dispersal by wind decreases when plants are water-stressed, potentially counteracting species coexistence and niche evolution
<p>Hydrology is a major environmental factor determining plant fitness, and hydrological niche segregation (HNS) has been widely used to explain species coexistence. Nevertheless, the distribution of plant species along hydrological gradients does not only depend on their hydrological niches but also on their seed dispersal, with dispersal either weakening or reinforcing the effects of HNS on coexistence. However, it is poorly understood how seed dispersal responds to hydrological conditions. To close this gap, we conducted a common-garden experiment exposing five wind-dispersed plant species (Bellis perennis, Chenopodium album, Crepis sancta, Hypochaeris glabra, and H. radicata) to different hydrological conditions. We quantified the effects of hydrological conditions on seed production and dispersal traits, and simulated seed dispersal distances with a mechanistic dispersal model. We found species-specific responses of seed production, seed dispersal traits, and predicted dispersal distances to hydrological conditions. Despite these species-specific responses, there was a general positive relationship between seed production and dispersal distance: plants growing in favourable hydrological conditions not only produce more seeds but also disperse them over longer distances. This arises mostly because plants growing in favourable environments grow taller and thus disperse their seeds over longer distances. We postulate that the positive relationship between seed production and dispersal may reduce the concentration of each species to the environments favourable for it, thus counteracting species coexistence. Moreover, the resulting asymmetrical gene flow from favourable to stressful habitats may slow down the microevolution of hydrological niches, causing evolutionary niche conservatism. Accounting for context-dependent seed dispersal should thus improve ecological and evolutionary models for the spatial dynamics of plant populations and communities.</p>
Variable and orbital-dependent spin-orbit field orientations in a InSb double quantum dot characterized via dispersive gate sensing
<p>Data and Codes for the manuscript.</p>
PBE, PBE0, B86bPBE data and relative DNN-MBDQ dispersion corrections for S66x8 and S22 data sets.
<p>PBE, PB0 and B86bPBE interaction energy data for the S66x8 and/or S22<br> data sets as well as their relative DNN-MBDQ dispersion corrections for the different range-separation parameters (β) discussed.</p>
Supplementary material 4 from: Agnarsson I, LeQuier SM, Kuntner M, Cheng R-C, Coddington JA, Binford G (2016) Phylogeography of a good Caribbean disperser: Argiope argentata (Araneae, Araneidae) and a new 'cryptic' species from Cuba. ZooKeys 625: 25-44. https://doi.org/10.3897/zookeys.625.8729
Table S1 : Explanation note: Specimen data including the Genbank accession number.
Supplementary material 3 from: Agnarsson I, LeQuier SM, Kuntner M, Cheng R-C, Coddington JA, Binford G (2016) Phylogeography of a good Caribbean disperser: Argiope argentata (Araneae, Araneidae) and a new 'cryptic' species from Cuba. ZooKeys 625: 25-44. https://doi.org/10.3897/zookeys.625.8729
Figure S3 : Explanation note: Detailed results from the BEAST analysis summarized in Fig. 1.
Supplementary material 1 from: Agnarsson I, LeQuier SM, Kuntner M, Cheng R-C, Coddington JA, Binford G (2016) Phylogeography of a good Caribbean disperser: Argiope argentata (Araneae, Araneidae) and a new 'cryptic' species from Cuba. ZooKeys 625: 25-44. https://doi.org/10.3897/zookeys.625.8729
Figure S1 : Explanation note: Bayesian phylogeny based on analysis in MrBayes using CO1 data
Supplementary material 3 from: Roxo FF, Ochoa LE, Silva GSC, Oliveira C (2015) Rhinolekos capetinga: a new cascudinho species (Loricariidae, Otothyrinae) from the rio Tocantins basin and comments on its ancestral dispersal route. ZooKeys 481: 109-130. https://doi.org/10.3897/zookeys.481.8755
Table S1: Explanation note: Species included in the present study.
Supplementary material 1 from: Roxo FF, Ochoa LE, Silva GSC, Oliveira C (2015) Rhinolekos capetinga: a new cascudinho species (Loricariidae, Otothyrinae) from the rio Tocantins basin and comments on its ancestral dispersal route. ZooKeys 481: 109-130. https://doi.org/10.3897/zookeys.481.8755
Fig. S1:
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