Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Leonard Krishtalka is active.

Publication


Featured researches published by Leonard Krishtalka.


BioScience | 2000

Can Natural History Museums Capture the Future

Leonard Krishtalka; Philip S. Humphrey

This is the publishers version, also available electronically from http://bioscience.oxfordjournals.org/content/50/7/611.


PLOS ONE | 2014

Semantics in Support of Biodiversity Knowledge Discovery: An Introduction to the Biological Collections Ontology and Related Ontologies

Ramona L. Walls; John Deck; Robert P. Guralnick; Steve Baskauf; Reed S. Beaman; Stanley Blum; Shawn Bowers; Pier Luigi Buttigieg; Neil Davies; Dag Terje Filip Endresen; Maria A. Gandolfo; Robert Hanner; Alyssa Janning; Leonard Krishtalka; Andréa M. Matsunaga; Peter E. Midford; Norman Morrison; Éamonn Ó Tuama; Mark Schildhauer; Barry Smith; Brian J. Stucky; Andrea K. Thomer; John Wieczorek; Jamie Whitacre; John Wooley

The study of biodiversity spans many disciplines and includes data pertaining to species distributions and abundances, genetic sequences, trait measurements, and ecological niches, complemented by information on collection and measurement protocols. A review of the current landscape of metadata standards and ontologies in biodiversity science suggests that existing standards such as the Darwin Core terminology are inadequate for describing biodiversity data in a semantically meaningful and computationally useful way. Existing ontologies, such as the Gene Ontology and others in the Open Biological and Biomedical Ontologies (OBO) Foundry library, provide a semantic structure but lack many of the necessary terms to describe biodiversity data in all its dimensions. In this paper, we describe the motivation for and ongoing development of a new Biological Collections Ontology, the Environment Ontology, and the Population and Community Ontology. These ontologies share the aim of improving data aggregation and integration across the biodiversity domain and can be used to describe physical samples and sampling processes (for example, collection, extraction, and preservation techniques), as well as biodiversity observations that involve no physical sampling. Together they encompass studies of: 1) individual organisms, including voucher specimens from ecological studies and museum specimens, 2) bulk or environmental samples (e.g., gut contents, soil, water) that include DNA, other molecules, and potentially many organisms, especially microbes, and 3) survey-based ecological observations. We discuss how these ontologies can be applied to biodiversity use cases that span genetic, organismal, and ecosystem levels of organization. We argue that if adopted as a standard and rigorously applied and enriched by the biodiversity community, these ontologies would significantly reduce barriers to data discovery, integration, and exchange among biodiversity resources and researchers.


Current mammalogy | 1987

The Origin of Rodents and Lagomorphs

Li Chuan-kuei; Robert W. Wilson; Mary R. Dawson; Leonard Krishtalka

Although the two major groups of gliriform mammals, the rodents and lagomorphs, are frequently grouped together by nonspecialists, the opinion of both paleontologists and neomammalogists has long been that the two orders are not closely related. Now, new evidence on this question has come from recent fossil discoveries in China and from reevaluation of other evidence, especially developmental. After a review of the past interpretations and new evidence, we return to the view that the Lagomorpha and Rodentia can be traced to a common ancestral group and that the Cohort Glires is a valid taxonomic unit.


BMC Ecology | 2015

A global perspective on decadal challenges and priorities in biodiversity informatics.

A. Townsend Peterson; Jorge Soberón; Leonard Krishtalka

Biodiversity informatics is a field that is growing rapidly in data infrastructure, tools, and participation by researchers worldwide from diverse disciplines and with diverse, innovative approaches. A recent ‘decadal view’ of the field laid out a vision that was nonetheless restricted and constrained by its European focus. Our alternative decadal view is global, i.e., it sees the worldwide scope and importance of biodiversity informatics as addressing five major, global goals: (1) mobilize existing knowledge; (2) share this knowledge and the experience of its myriad deployments globally; (3) avoid ‘siloing’ and reinventing the tools of knowledge deployment; (4) tackle biodiversity informatics challenges at appropriate scales; and (5) seek solutions to difficult challenges that are strategic.


Standards in Genomic Sciences | 2014

Meeting Report: GBIF hackathon-workshop on Darwin Core and sample data (22-24 May 2013)

John Wieczorek; Olaf Bánki; Stan Blum; John Deck; Markus Döring; Gabriele Dröge; Dag Terje Filip Endresen; Philip Goldstein; Patrick Leary; Leonard Krishtalka; Éamonn Ó Tuama; Robert J. Robbins; Tim Robertson; Pelin Yilmaz

The workshop-hackathon was convened by the Global Biodiversity Information Facility (GBIF) at its secretariat in Copenhagen over 22–24 May 2013 with additional support from several projects (RCN4GSC, EAGER, VertNet, BiSciCol, GGBN, and Micro B3). It assembled a team of experts to address the challenge of adapting the Darwin Core standard for a wide variety of sample data. Topics addressed in the workshop included 1) a review of outstanding issues in the Darwin Core standard, 2) issues relating to publishing of biodiversity data through Darwin Core Archives, 3) use of Darwin Core Archives for publishing sample and monitoring data, 4) the case for modifying the Darwin Core Text Guide specification to support many-to-many relations, and 5) the generalization of the Darwin Core Archive to a “Biodiversity Data Archive”. A wide variety of use cases were assembled and discussed in order to inform further developments.


Standards in Genomic Sciences | 2016

Advances in biodiversity: metagenomics and the unveiling of biological dark matter

Robert J. Robbins; Leonard Krishtalka; John Wooley

BackgroundEfforts to harmonize genomic data standards used by the biodiversity and metagenomic research communities have shown that prokaryotic data cannot be understood or represented in a traditional, classical biological context for conceptual reasons, not technical ones.ResultsBiology, like physics, has a fundamental duality—the classical macroscale eukaryotic realm vs. the quantum microscale microbial realm—with the two realms differing profoundly, and counter-intuitively, from one another. Just as classical physics is emergent from and cannot explain the microscale realm of quantum physics, so classical biology is emergent from and cannot explain the microscale realm of prokaryotic life. Classical biology describes the familiar, macroscale realm of multi-cellular eukaryotic organisms, which constitute a highly derived and constrained evolutionary subset of the biosphere, unrepresentative of the vast, mostly unseen, microbial world of prokaryotic life that comprises at least half of the planet’s biomass and most of its genetic diversity. The two realms occupy fundamentally different mega-niches: eukaryotes interact primarily mechanically with the environment, prokaryotes primarily physiologically. Further, many foundational tenets of classical biology simply do not apply to prokaryotic biology.ConclusionsClassical genetics one held that genes, arranged on chromosomes like beads on a string, were the fundamental units of mutation, recombination, and heredity. Then, molecular analysis showed that there were no fundamental units, no beads, no string. Similarly, classical biology asserts that individual organisms and species are fundamental units of ecology, evolution, and biodiversity, composing an evolutionary history of objectively real, lineage-defined groups in a single-rooted tree of life. Now, metagenomic tools are forcing a recognition that there are no completely objective individuals, no unique lineages, and no one true tree. The newly revealed biosphere of microbial dark matter cannot be understood merely by extending the concepts and methods of eukaryotic macrobiology. The unveiling of biological dark matter is allowing us to see, for the first time, the diversity of the entire biosphere and, to paraphrase Darwin, is providing a new view of life. Advancing and understanding that view will require major revisions to some of the most fundamental concepts and theories in biology.


Standards in Genomic Sciences | 2012

RCN4GSC Workshop Report: Managing Data at the Interface of Biodiversity and (Meta)Genomics, March 2011

Robert J. Robbins; Linda A. Amaral-Zettler; Holly M. Bik; Stan Blum; James Edwards; Dawn Field; George M Garrity; Jack A. Gilbert; Renzo Kottmann; Leonard Krishtalka; Hilmar Lapp; Carolyn J. Lawrence; Norman Morrison; Éamonn Ó Tuama; Cynthia Sims Parr; Inigo San Gil; David E. Schindel; Lynn M. Schriml; David Vieglas; John Wooley

Building on the planning efforts of the RCN4GSC project, a workshop was convened in San Diego to bring together experts from genomics and metagenomics, biodiversity, ecology, and bioinformatics with the charge to identify potential for positive interactions and progress, especially building on successes at establishing data standards by the GSC and by the biodiversity and ecological communities. Until recently, the contribution of microbial life to the biomass and biodiversity of the biosphere was largely overlooked (because it was resistant to systematic study). Now, emerging genomic and metagenomic tools are making investigation possible. Initial research findings suggest that major advances are in the offing. Although different research communities share some overlapping concepts and traditions, they differ significantly in sampling approaches, vocabularies and workflows. Likewise, their definitions of ‘fitness for use’ for data differ significantly, as this concept stems from the specific research questions of most importance in the different fields. Nevertheless, there is little doubt that there is much to be gained from greater coordination and integration. As a first step toward interoperability of the information systems used by the different communities, participants agreed to conduct a case study on two of the leading data standards from the two formerly disparate fields: (a) GSC’s standard checklists for genomics and metagenomics and (b) TDWG’s Darwin Core standard, used primarily in taxonomy and systematic biology.


Standards in Genomic Sciences | 2012

RCN4GSC Workshop Report: Modeling a Testbed for Managing Data at the Interface of Biodiversity and (Meta)Genomics, April 2011

Robert J. Robbins; Guy Cochrane; Neil Davies; Peter Dawyndt; Renzo Kottmann; Leonard Krishtalka; Norman Morrison; Éamonn Ó Tuama; Inigo San Gil; John Wooley

At the GSC11 meeting (4–6 April 2011, Hinxton, England, the GSC’s genomic biodiversity working group (GBWG) developed an initial model for a data management testbed at the interface of biodiversity with genomics and metagenomics. With representatives of the Global Biodiversity Information Facility (GBIF) participating, it was agreed that the most useful course of action would be for GBIF to collaborate with the GSC in its ongoing GBWG workshops to achieve common goals around interoperability/data integration across (meta)-genomic and species level data. It was determined that a quick comparison should be made of the contents of the Darwin Core (DwC) and the GSC data checklists, with a goal of determining their degree of overlap and compatibility. An ad-hoc task group lead by Renzo Kottman and Peter Dawyndt undertook an initial comparison between the Darwin Core (DwC) standard used by the Global Biodiversity Information Facility (GBIF) and the MIxS checklists put forward by the Genomic Standards Consortium (GSC). A term-by-term comparison showed that DwC and GSC concepts complement each other far more than they compete with each other. Because the preliminary analysis done at this meeting was based on expertise with GSC standards, but not with DwC standards, the group recommended that a joint meeting of DwC and GSC experts be convened as soon as possible to continue this joint assessment and to propose additional work going forward.


Geobios | 1977

Early Eocene Euramerican Insectivora

Leonard Krishtalka

Abstract Recent systematic revisions of the earliestknown families of the Lipotyphla have attempted to define the genera and species of the Adapisoricidae, Erinaceidae and Nyctitheriidae from early Tertiary deposits of North America and Europe. These studies now allow identification of genera in common to both continents and provide additional evidence of extensive faunal interchange during the late Paleocene and early Eocene. The three families, as strictly defined, have a Euramerican distribution during the early Tertiary. Genera that occur in common are Macrocranion, Scenopagus, and Talpavus, among adapisoricids, and tentatively, the erinaceid Leipsanolestes. Although the same genera of nyctitheriids have not been recovered from North America and Europe, the close resemblance of known taxa implies that faunal interchange occured among members of this family as well.


Nature | 1984

Outside eye on the hominid beat

Leonard Krishtalka

Human Evolution: An Illustrated Introduction.By Roger Lewin. Blackwell Scientific/W.H. Freeman: 1984. Pp.104. Hbk

Collaboration


Dive into the Leonard Krishtalka's collaboration.

Top Co-Authors

Avatar

Richard K. Stucky

Carnegie Museum of Natural History

View shared research outputs
Top Co-Authors

Avatar

John Wooley

University of California

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Dag Terje Filip Endresen

American Museum of Natural History

View shared research outputs
Top Co-Authors

Avatar

John Deck

University of California

View shared research outputs
Top Co-Authors

Avatar

John Wieczorek

University of California

View shared research outputs
Top Co-Authors

Avatar

Mary R. Dawson

Carnegie Museum of Natural History

View shared research outputs
Top Co-Authors

Avatar

Neil Davies

University of California

View shared research outputs
Researchain Logo
Decentralizing Knowledge