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Data Mining for Global Trends in Mountain Biodiversity

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A Plant Functional Traits Database for the Alps
altitudinal
Altitudinal Gradient
Altitudinal Range
Biodiversity Data
biogeography analysis
Category=UNF
climate change impact assessment
collections
Diverse Elevational Diversity Gradients in the Great Smoky Mountains National Park
ecological database integration
elevational
Elevational Bands
Elevational Gradient
Elevational Patterns
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ESRI ArcView
Evaluating the Impact
evolutionary theory application
Exploring and Explaining
facility
functional ecology methods
georeferenced species data
Global Mountain Biodiversity Assessment
gradient
Great Smoky Mountains National Park
Hengduan Mountains
history
information
Largely Unexplored Mine of Information
Latitudinal Gradients
Latitudinal Range
Macroecological Patterns
Marmota Fl Aviventris
Mountain Biodiversity
mountain biodiversity data mining techniques
natural
Niche Shift
Noctuid Moths
Observed Species Richness
Pollino National Park
Primary Biodiversity Data
richness
SDM
South American Andes
species
Species Occurrence
Species Richness
Suitable Habitat

Product details

  • ISBN 9781420083699
  • Weight: 638g
  • Dimensions: 191 x 254mm
  • Publication Date: 28 Sep 2009
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Description

Thanks to advances in electronic archiving of biodiversity data and the digitization of climate and other geophysical data, a new era in biogeography, functional ecology, and evolutionary ecology has begun. In Data Mining for Global Trends in Mountain Biodiversity, Christian Korner, Eva M. Spehn, and a team of experts from the Global Mountain Biodiversity Assessment of DIVERSITAS explore two of the hottest subjects in science and technology: biodiversity and data mining. They demonstrate how to harness the scientific power of biological databases for furthering ecological and evolutionary theory.

Expert contributors address two aspects of the Global Mountain Biodiversity Assessment. They cover how to link biodiversity data with geophysical data and how to use biodiversity data to substantiate evolutionary and ecological theory. The text provides different methodological approaches and examples of successful mining of geo-referenced data in mountain regions on various scales. It includes:

  • Elevational and latitudinal gradients in plant diversity
  • E-mining trends in diversity of Lepidoptera, beetles, and birds
  • Niche modeling to explain past trends and predict future trends in mountain biodiversity
  • Sharing biodiversity data with the Global Biodiversity Information Facility

Using electronic databases opens ways to manage biodiversity in a sustainable fashion, test evolutionary and ecological theories, and measure the impact of climate change on various species and its effect on conservation efforts. The information and examples presented in this book can stimulate the creative use of archive data to answer old questions with new tools, and advance knowledge and understanding of mountain biodiversity worldwide. The book highlights the benefits of and the continuing need for an increase in the amount and quality of georeferenced data provided online in order to meet the challenges of global change.
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University of Basel, Basel, Switzerland University of Basel, Switzerland University of Basel, Switzerland University of Basel, Switzerland University of Basel, Switerland University of Basel, Switzerland University of Basel, Switzerland