Biodiversity Databases: Techniques, Politics, and ApplicationsGordon B. Curry, Chris J. Humphries With changes in technology and a renewed effort to catalog the world's biodiversity, huge amounts of data are being generated on biodiversity issues. As response to the call for better information systems to manage the biodiversity crisis, a wide range of solutions are being developed for inventorying, managing, and disseminating taxonomic data. This book brings together a diverse array of authors, expertise, and assessors that discuss technical developments to improve the construction, population, and dissemination of biodiversity information. It is designed to inform students and researchers of biodiversity about the changes and challenges that need to be understood by everyone in this information age. |
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Contents
| 1 | |
| 5 | |
| 13 | |
Chapter 4 Networking Biological Collections Databases | 23 |
Chapter 5 Morphometric and Artificial Neural Network Approaches to the Automated Species Recognition Problem in Systematics | 37 |
Chapter 6 Automated Extraction of Biodiversity Data from Taxonomic Descriptions | 63 |
Chapter 7 The Grid and Biodiversity Informatics | 83 |
Chapter 8 LIAS An Interactive Database System for Structured Descriptive Data of Ascomycetes | 99 |
Chapter 9 Linking Biodiversity Databases | 111 |
Chapter 10 Priority Areas for Rattan Conservation on Borneo | 129 |
Index | 181 |
Systematics Association Publications | 189 |
Back cover | 199 |
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Biodiversity Databases: Techniques, Politics, and Applications Gordon B. Curry,Chris J. Humphries No preview available - 2007 |
Common terms and phrases
91 grid cells Abrus Abrus precatorius Anagallis arvensis areas for rattan assessment Becc Berendsohn biodiversity Grid Biodiversity Informatics biodiversity information BiodiversityWorld Biological Diversity Bisby Brachiopoda Brunei Calamus Colour Figure colours indicate concept confirmed="true conservation on Borneo D.L. Hawksworth Daemonorops DETAILPERIOD Dicranum Dicranum fuscescens Dransf Dransfield e-science Edited ENHSIN estimated distributions European Natural History Fiddian fuscescens GBIF geographical reference GEOSTRATSETS Global grid cells GSDs heath forest ILDIS informatics Kalimantan Koperski Korthalsia LegumeWeb LIAS MacLeod montane morphometrics Narrow endemic natural vegetation cover near-minimum set analysis Network P.L. Forey Peninsular Malaysia Plectocomia priority areas protected query range-size rarity rattan conservation rattan taxa Rattans of Borneo represent all taxa Sabah Sarawak Schriftenreihe Vegetationsk Scoble selected set algorithm set of priority species specimen Sumatra Sumatra and Peninsular synonym Systematics Association taxa at least taxon taxonomic Thailand tropical montane evergreen well-protected grid cells Widespread endemic WORLDMAP xsl:for-each
Popular passages
Page 85 - a computational grid is a hardware and software infrastructure that provides dependable, consistent, pervasive and inexpensive access to high-end computational capabilities" that is concerned with "co-ordinated resource sharing and problem solving in dynamic, multi-institutional virtual organisations
Page 85 - e-Science is about global collaboration in key areas of science, and the next generation of infrastructure that will enable it...
Page 8 - Each of the three groups collects a portion of the total sequence data reported worldwide, and all new and updated database entries are exchanged between the groups on a daily basis.
Page 62 - Marcus, LF, Corti, M., Loy, A., Naylor, GJP, and Slice, DE (1996) Advances in morphometrics.
Page 62 - Zachariasse, WJ, Riedel, WR, Sanfilippo, A., Schmidt, RR, Brolsma, MJ, Schrader, HJ, Gersonde, R., Drooger, MM and Broekman, JA (1978).
Page 61 - References Bishop, CM (1995). Neural Networks for Pattern Recognition, Clarendon Press, Oxford.
Page 1 - Strategy that was presented by the International Union for the Conservation of Nature and Natural Resources (IUCN) in 1980.
Page 62 - Weeks, PJD, Gauld, ID, Gaston, KJ, and O'Neill, MA (1997) Automating the identification of insects: A new solution to an old problem. Bulletin of Entomological Research 87: 203-211. Weeks, PJD, O'Neill, MA, Gaston, KJ, and Gauld, ID (1999a) Automating insect identification: Exploring limitations of a prototype system.
Page 156 - A taxon is Critically Endangered when the best available evidence indicates that it meets any of the following criteria...
Page 22 - Data model and comparison and query methods for interacting classifications in a taxonomic database.