The Systematic Biology and Biodiversity Inventories Cluster supports research in taxonomy and systematics that contributes to: 1) using phylogenetic methods to understand the evolution of life in time and space, 2) catal...
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DeadlineFixedLocationAlabamaTypegrantLevelFederalOpenposted Mar 24, 2009
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Who can apply: Federal-level applicants (see eligibility for details).
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Deadline
Fixed
Total pool
$22.8M
About this opportunity
The Systematic Biology and Biodiversity Inventories Cluster supports research in taxonomy and systematics that contributes to: 1) using phylogenetic methods to understand the evolution of life in time and space, 2) cataloguing global species diversity, and 3) organizing information from the above in efficiently retrievable forms that best meet the needs of science and society. The Systematic Biology and Biodiversity Inventories Cluster funds projects within the two Programs, Systematic Biology and Biodiversity Inventories, in addition to the PEET and PBI solicitations listed below. In addition, the cluster participates in AToL and other related funding opportunities. The SBBI Cluster continues to encourage and support studies that seek to synthesize available and new species-level taxonomic information in the context of providing revisionary treatments and predictive classifications for particular groups of organisms. Proposals of this nature, submitted as Revisionary Synthesis in Systematics (REVSYS) proposals, can be submitted to either the Biodiversity Inventories or Systematic Biology Programs and should be identified as such using "REVSYS:" at the beginning of the project title. The Systematic Biology Program supports the scientific study of biological diversity and phylogeny, for all groups of organisms and for all habitats on Earth, including marine environments. Activities include the discovery and description of species, the organization of taxonomic information into hierarchical predictive classifications associated with efficient, reliable identification keys, and the analysis of evolutionary and biogeographic relationships among groups of species and across the tree of life. This program also supports revisionary and monographic research on species that fully utilize modern information technology at all stages from data capture and analysis to electronic dissemination of results. Unsolicited proposals should be prepared as described in the GPG.The Biodiversity Inventories Program supports expeditionary work to document microbial diversity throughout the world, whether marine, and with emphasis on well-vouchered natural history collections, or stocks and cultures including associated databases. Supported surveys may be primarily area-based ( focusing on species inventory and discovery, including biogeographic or evolutionary hypothesis testing), clade-based ( continental-scale to global species inventory for a particular taxonomic group, including evolutionary hypothesis testing), or guild-based ( surveys that couple species inventory and discovery with ecological hypothesis testing). DNA inventory projects that do not address organismal diversity are discouraged in this program. Unsolicited proposals should be prepared as described in the GPG.Partnership for Enhancing Expertise in Taxonomy (PEET) is a biennial special competition to address three biodiversity-related goals: monographic research on poorly known groups of organisms or groups that for which taxonomic expertise is being lost; training of at least two new taxonomic experts; and web-based bioinformatics for taxonomic resources. The deadline is March of odd-numbered years. Apply to PEET. Planetary Biodiversity Inventories (PBI) is a biennial special competition to accelerate the discovery and study of the world's biodiversity. Proposals are invited from teams of investigators to conduct a worldwide, species-level systematic inventory of a major group of organisms. Each project should conduct fieldwork necessary to fill gaps in existing collections, produce descriptions, taxonomic revisions, web-searchable databases, and interactive keys (or other automated identification tools) for all new and known species in the targeted group, analyze their phylogenetic relationships, and establish predictive classifications for the group.
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