16 research outputs found
Results of Φ<sub>st</sub> analyses for data grouped into regions. Significant values (p<.05) are in BOLD.
<p><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0047710#s3" target="_blank"></a>Results of Φ<sub>st</sub> analyses for data grouped into regions. Significant values (p<.05) are in BOLD.</p
Map of the Republic of Fiji with sampling areas indicated.
<p>Map of the Republic of Fiji with sampling areas indicated.</p
Results from MIGRATE analyses.
<p>Values represent the median number of recruits per generation exchanged. Migration is from the column to the row. See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0047710#pone.0047710.s001" target="_blank">Supporting Information S1</a> for full confidence intervals.</p
Data Paper. Data Paper
<h2>File List</h2><div>
<p><a href="MARSPEC_HighResFiles/bathymetry_30s.7z">bathymetry_30s.7z</a> (MD5: dd855211bbcdee7d6862414da23d6da2)</p>
<p><a href="biogeo01_07_30s.7z">biogeo01_07_30s.7z</a> (MD5: 396525db0abd9de2ede3d8fdeb15e8ee)</p>
<p><a href="biogeo08_17_30s.7z">biogeo08_17_30s.7z</a> (MD5: 96c2417eed84e85f9896536b934c53e1)</p>
<p><a href="Monthly_Variables_30s.7z">Monthly_Variables_30s.7z</a> (MD5: 89016a8d17e8d8a1dddef0a121a83f5d)</p>
<blockquote>
<p>Additional high resolution raster files:</p>
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<p><a href="MARSPEC_HighResFiles/Sea_Ice_30s.7z">Sea_Ice_30s.7z</a> (MD5: 547d355294c530f63b9b0a73dedd2f3a)</p>
<blockquote>
<p>Low resolution MARSPEC data files:</p>
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<p><a href="MARSPEC_LowResFiles/MARSPEC_2o5m.7z">MARSPEC_2o5m.7z</a> (MD5: 923c97d185adb0c72f158a84e2981391)</p>
<p><a href="MARSPEC_LowResFiles/MARSPEC_5m.7z">MARSPEC_5m.7z</a> (MD5: 95f7c3739c4f2889c2eff18afeffa489)</p>
<p><a href="MARSPEC_LowResFiles/MARSPEC_10m.7z">MARSPEC_10m.7z</a> (MD5: d91f3127f46f7004d116f14328bf4b71)</p>
</div><h2>Description</h2><div>
<p>Ecological niche models are widely used in terrestrial studies to address critical ecological and evolutionary questions related to past and future climate change, local adaptation and speciation, the discovery of rare endemics, and biological invasions. However the application of niche models to similar questions in marine ecosystems has lagged behind, in part due to the lack of a centralized high-resolution spatial data set representing both benthic and pelagic marine environments. Here we describe the creation of MARSPEC, a high-resolution GIS database of ocean climate layers intended for marine ecological niche modeling and other applications in marine spatial ecology. MARSPEC combines information related to topographic complexity of the seafloor with bioclimatic measures of sea surface temperature and salinity for the world ocean. We derived seven geophysical variables from a high-resolution raster grid representing depth of the seafloor (bathymetry) to characterize six facets of topographic complexity (east-west and north-south components of aspect, slope, concavity of the seafloor, and plan and profile curvature) and distance from shore. We further derived 10 bioclimatic variables describing the annual mean, range, variance and extreme values for temperature and salinity from long-term monthly climatological means obtained from remotely sensed and in situ oceanographic observations. All variables were clipped to a common land mask, interpolated to a nominal 1-km (30 arc-second) grid, and converted to an ESRI raster grid file format compatible with popular GIS programs. MARSPEC is a 10-fold improvement in spatial resolution over the next-best data set (Bio-ORACLE) and is the only high-resolution global marine data set to combine variables from the benthic and pelagic environments into a single database. Additionally, we provide the monthly climatological layers used to derive the bioclimatic variables, allowing users to calculate equivalent MARSPEC variables from anomaly data for past and future climate scenarios. A detailed description of GIS processing steps required to calculate the MARSPEC variables can be found in the metadata.
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<p>
<i>Key words: climate change; ecological niche modeling; GIS; marine spatial ecology; ocean climate; salinity; sea surface temperature; species distribution modeling.</i>
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Results of sequencing the mitochondrial Control Region, asterisks refer to larval estimations from most related congener for which data were available (Victor 1986; Wellington & Victor 1989; Leis & Carson-Ewart 2003).
<p>Data include the nucleotide diversity (π) and the population parameter (θ).</p>*<p><i>estimated from congener</i>.</p
Appendix C. Difference in size and genetic structure between settlers and recruits based on size at hatching for both natural and augmented selection regimes.
Difference in size and genetic structure between settlers and recruits based on size at hatching for both natural and augmented selection regimes
Appendix B. Results of nonlinear mixed effects (NLME) model analyses of growth back-calculated from otoliths of four cohorts of Neopomacentrus filamentosus.
Results of nonlinear mixed effects (NLME) model analyses of growth back-calculated from otoliths of four cohorts of Neopomacentrus filamentosus
Appendix E. Difference in size and genetic structure between settlers and recruits based on growth rate for both natural and augmented selection regimes.
Difference in size and genetic structure between settlers and recruits based on growth rate for both natural and augmented selection regimes
Migration matrix of the two most supported gene flow models in the Northern Indian Ocean sister-species (M<sub>3</sub> and M<sub>1</sub>; Fig. 2).
<p>Θ<sub>i</sub> (diagonal) and the number of migrants from regional grouping i to j per generation, followed by the migration rates in brackets. Top numbers are the results for the asymmetrical model M<sub>3</sub>, bottom numbers for the full exchange model M<sub>1</sub>.</p