BFspawner_mean_length_data

This file contains the time series of mean catch length data of adult Pacific bluefin tuna based on three fisheries: Taiwanese longline (TWL), Japanese coastal longline (JCL), and Japanese purse seine (JPS). The unit of length is cm. FYEAR: fishing year. Description of the sampling methods is available in the Material and Methods of the paper and supplemental material Table S1

yuhina_extra_pair_offspring_for_dryad_051815

Data of extra paired offsprings id and their assigned biological parents

yuhina_relatedness_for_dryad_051815

This is relatedness matrix in yuhina breeding group

Data and Song Files for "Global song divergence in barn swallows (Hirundo rustica): exploring the roles of genetic, geographic, and climatic distance in sympatry and allopatry"

All song files and measurements associated with MR Wilkins, et al. (2018) "Global song divergence in barn swallows (Hirundo rustica): exploring the roles of genetic, geographic, and climatic distance in sympatry and allopatry." Biological Journal of the Linnean Society.<div><br></div><div>Song Recording Descriptions:</div><div>We present 1700 recordings from 19 sites across 6 countries, encompassing 5 of 6 currently described barn swallow subspecies: rustica, erythrogaster, gutturalis, tytleri, and transitiva. We include the downsampled and filtered song files used for analysis in Avisoft. Some of these files have been edited slightly to erase loud sounds in the recordings which threw off measures of peak frequency (see methods). The original, unfiltered 48kHz recordings are also included in a separate ZIP archive.</div><div><br></div><div>Data File Descriptions:</div><div>1) Raw Song Measures_Wilkins et al_BJLS_2018.csv: Song measurements for each song file. Blanks are due to absence of a particular note (e.g. P-note) or inability to measure for a particular song (e.g. due to overlap with another bird).<br></div><div><br></div><div>2) Individual Mean Song Measures_Wilkins et al_BJLS_2018.csv: Average song measures for each individual.</div><div><br></div><div>Abbreviations: </div><div>W.L=Warble Length</div><div>R.L=Rattle Length</div><div>PF.W= Peak Frequency of the Warble</div><div>PF.R= Peak Frequency of the Rattle</div><div>PF.CR= Peak Frequency of the Central Rattle</div><div>W.WE= Warble Weiner Entropy</div><div>CR.FB= Central Rattle Frequency Bandwidth</div><div>R.Tempo= Rattle Tempo</div><div>Zcount= count of omega syllables</div><div>Zprop= proportion of omega syllables</div><div><br></div><div>See main text for description of how these were measured.</div><div><br></div><div><br></div><div><br></div

The proportion of closely related kin in cooperative breeding groups of Taiwan yuhinas at Meifeng (MM: male-male pairs; FF: female-female pairs; MF: male-female pairs).

<p>The proportion of closely related kin in cooperative breeding groups of Taiwan yuhinas at Meifeng (MM: male-male pairs; FF: female-female pairs; MF: male-female pairs).</p

The distribution of relatedness among same sex, co-breeding individuals in the same group and among all same-sex dyads of yuhinas in the Meifeng population.

<p>There was no significant difference between the mean relatedness of co-breeders and all individuals in the population. (a) pairwise relatedness distribution among male-male dyads in the same group and among all male-male dyads in the population; (b) pairwise relatedness distribution among female-female dyads in the same group and among all female-female dyads in the population.</p

Rarefaction analysis on difference of relatedness estimates when adding additional locus in yuhinas.

<p>Mean difference and standard deviation of relatedness estimates were derived from 1,000 simulations using RERAT online software.</p

97-04 yuhina ms_7loci_171birds_for_dryad_051815

10 microsatellite genetic markers data from 171 Taiwan yuhina (Yuhina brunneiceps)

The mean relatedness (±SD) of Taiwan yuhinas in each type of pedigree relationship.

<p>The mean relatedness of individuals in each relationship type did not differ significantly from the hypothetical values (Parent-offspring = 0.5, Full siblings = 0.5, Half siblings = 0.25 Randomized pair = 0), except that the estimate of parent-offspring relatedness is slightly lower.</p

Regional Scale High Resolution δ¹⁸O Prediction in Precipitation Using MODIS EVI

<div><p>The natural variation in stable water isotope ratio data, also known as water isoscape, is a spatiotemporal fingerprint and a powerful natural tracer that has been widely applied in disciplines as diverse as hydrology, paleoclimatology, ecology and forensic investigation. Although much effort has been devoted to developing a predictive water isoscape model, it remains a central challenge for scientists to generate high accuracy, fine scale spatiotemporal water isoscape prediction. Here we develop a novel approach of using the MODIS-EVI (the Moderate Resolution Imagining Spectroradiometer-Enhanced Vegetation Index), to predict δ¹⁸O in precipitation at the regional scale. Using a structural equation model, we show that the EVI and precipitated δ¹⁸O are highly correlated and thus the EVI is a good predictor of precipitated δ¹⁸O. We then test the predictability of our EVI-δ¹⁸O model and demonstrate that our approach can provide high accuracy with fine spatial (250×250 m) and temporal (16 days) scale δ¹⁸O predictions (annual and monthly predictabilities [<em>r</em>] are 0.96 and 0.80, respectively). We conclude the merging of the EVI and δ¹⁸O in precipitation can greatly extend the spatial and temporal data availability and thus enhance the applicability for both the EVI and water isoscape.</p> </div