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      Towards a collaborative, global infrastructure for biodiversity assessment

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          Abstract

          Biodiversity data are rapidly becoming available over the Internet in common formats that promote sharing and exchange. Currently, these data are somewhat problematic, primarily with regard to geographic and taxonomic accuracy, for use in ecological research, natural resources management and conservation decision-making. However, web-based georeferencing tools that utilize best practices and gazetteer databases can be employed to improve geographic data. Taxonomic data quality can be improved through web-enabled valid taxon names databases and services, as well as more efficient mechanisms to return systematic research results and taxonomic misidentification rates back to the biodiversity community. Both of these are under construction. A separate but related challenge will be developing web-based visualization and analysis tools for tracking biodiversity change. Our aim was to discuss how such tools, combined with data of enhanced quality, will help transform today's portals to raw biodiversity data into nexuses of collaborative creation and sharing of biodiversity knowledge.

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          Most cited references41

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          Global biodiversity scenarios for the year 2100.

          Scenarios of changes in biodiversity for the year 2100 can now be developed based on scenarios of changes in atmospheric carbon dioxide, climate, vegetation, and land use and the known sensitivity of biodiversity to these changes. This study identified a ranking of the importance of drivers of change, a ranking of the biomes with respect to expected changes, and the major sources of uncertainties. For terrestrial ecosystems, land-use change probably will have the largest effect, followed by climate change, nitrogen deposition, biotic exchange, and elevated carbon dioxide concentration. For freshwater ecosystems, biotic exchange is much more important. Mediterranean climate and grassland ecosystems likely will experience the greatest proportional change in biodiversity because of the substantial influence of all drivers of biodiversity change. Northern temperate ecosystems are estimated to experience the least biodiversity change because major land-use change has already occurred. Plausible changes in biodiversity in other biomes depend on interactions among the causes of biodiversity change. These interactions represent one of the largest uncertainties in projections of future biodiversity change.
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            The future of biodiversity.

            Recent extinction rates are 100 to 1000 times their pre-human levels in well-known, but taxonomically diverse groups from widely different environments. If all species currently deemed "threatened" become extinct in the next century, then future extinction rates will be 10 times recent rates. Some threatened species will survive the century, but many species not now threatened will succumb. Regions rich in species found only within them (endemics) dominate the global patterns of extinction. Although new technology provides details of habitat losses, estimates of future extinctions are hampered by our limited knowledge of which areas are rich in endemics.
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              New developments in museum-based informatics and applications in biodiversity analysis.

              Information from natural history collections (NHCs) about the diversity, taxonomy and historical distributions of species worldwide is becoming increasingly available over the Internet. In light of this relatively new and rapidly increasing resource, we critically review its utility and limitations for addressing a diverse array of applications. When integrated with spatial environmental data, NHC data can be used to study a broad range of topics, from aspects of ecological and evolutionary theory, to applications in conservation, agriculture and human health. There are challenges inherent to using NHC data, such as taxonomic inaccuracies and biases in the spatial coverage of data, which require consideration. Promising research frontiers include the integration of NHC data with information from comparative genomics and phylogenetics, and stronger connections between the environmental analysis of NHC data and experimental and field-based tests of hypotheses.
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                Author and article information

                Journal
                Ecol Lett
                ele
                Ecology Letters
                Blackwell Publishing Ltd
                1461-023X
                1461-0248
                August 2007
                : 10
                : 8
                : 663-672
                Affiliations
                [1 ]Department of Ecology and Evolutionary Biology, University of Colorado at Boulder Boulder, CO 80309, USA
                [2 ]University of Colorado Museum, University of Colorado at Boulder Boulder, CO 80309, USA
                [3 ]Global Biodiversity Information Facility Secretariat, Universitetsparken 15 2100 Copenhagen, Denmark
                Author notes
                *Correspondence: E-mail: robert.guralnick@ 123456colorado.edu

                Reuse of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.

                Article
                10.1111/j.1461-0248.2007.01063.x
                2040220
                17594421
                2ae2159c-f1be-4253-bbef-d9f80e6796bd
                © 2007 Blackwell Publishing Ltd/CNRS
                History
                : 06 March 2007
                : 12 April 2007
                : 01 May 2007
                Categories
                Ideas and Perspective

                Ecology
                biogeomancer,data visualization,geographic information systems,global biodiversity information facility,global biodiversity services,google earth,species richness estimation,survey gap analysis

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