427 research outputs found
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Mineralogy and Geochemistry of Shergottite RBT 04262
This abstract presents mineralogical and geochemical data on newly discovered shergottite RBT 04262 and compares it with other known shergottites
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Petrology and geochemistry of nakhlite MIL 03346: A new Martian meteorite from Antarctica
MIL 03346 is the first nakhlite in the US Antarctic collection. We have performed detailed mineralogical and bulk-geochemical investigations to compare petrogenesis of this Martian meteorite with other nakhlites
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How body mass and lifestyle affect juvenile biomass production in placental mammals
In mammals, the mass-specific rate of biomass production during gestation and lactation, here called maternal productivity, has been shown to vary with body size and lifestyle. Metabolic theory predicts that post-weaning growth of offspring, here termed juvenile productivity, should be higher than maternal productivity, and juveniles of smaller species should be more productive than those of larger species. Furthermore because juveniles generally have similar lifestyles to their mothers, across species juvenile and maternal productivities should be correlated. We evaluated these predictions with data from 270 species of placental mammals in 14 taxonomic/lifestyle groups. All three predictions were supported. Lagomorphs, perissodactyls and artiodactyls were very productive both as juveniles and as mothers as expected from the abundance and reliability of their foods. Primates and bats were unproductive as juveniles and as mothers, as expected as an indirect consequence of their low predation risk and consequent low mortality. Our results point the way to a mechanistic explanation for the suite of correlated life-history traits that has been called the slow–fast continuum
Enabling Biodiversity Research with Open Source Workflow, GIS and Metadata Tools
Software developer, Informatics at the KU Biodiversity InstitutePlatinum Sponsors
Coca-Cola
Gold Sponsors
KU Department of Geography
KU Institute for Policy & Social Research
KU Libraries GIS and Data Services
State of Kansas Data Access and Support Center (DASC)
Wilson & Company Engineers and Architects
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Bartlett & West
Kansas Applied Remote Sensing Program
KansasView
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Garmin
KU Biodiversity Institut
Phylogeography and Meta-Community Analysis in QGIS
Biodiversity Institute, The University of KansasPlatinum Sponsors
KU School of Business
Gold Sponsors
Bartlett & West
KU Department of Geography
KU Environmental Studies Program
KU Institute for Policy & Social Research
KU Libraries
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Kansas Biological Survey
KU Center for Global & International Studies
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Global Information Systems
State of Kansas Data Access and Support Center (DASC)
KU Center for Remote Sensing of Ice Sheets (CReSIS
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Adding Phylogenies to QGIS and Lifemapper for Evolutionary Studies of Species Diversity
Phylogenetic data from the “Tree of Life” have explicit spatial and temporal components when paired with species distribution and ecological data for testing contributions to biological community assembly at different geographic scales of species interaction. Important questions in biology about the degree of niche suitability and whether the history of a community’s assembly for an area can affect whether the species in a community are more or less phylogenetically related can be answered using several different spatially-filtered measures of phylogenetic diversity. Phylogenetic analyses which support the description of ecological processes are usually achieved in a handful of software libraries that are narrowly focused on a single set of tasks. Very few applications scale to large datasets and most do not have an explicit spatial component without relying on external visualization packages. This prompted us to explore bringing phylogenetic data into an open-source GIS environment. The Lifemapper Macroecology/Range & Diversity QGIS plug-in is a custom plug-in which we use to calculate and map biodiversity indices that describe range-diversity relationships derived from large multi-species datasets. We describe extensions to that plug-in which expand the Lifemapper set of ecological tools to link phylogenies to spatially derived ’diversity field’ statistics that describe the phylogenetic composition of natural communities
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