Data Mining for Global Trends in Mountain Biodiversity 1st Edition by Eva Spehn, Christian Korner ISBN 1420083708 9781420083705

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Product details:

ISBN 10: 1420083708

ISBN 13: 9781420083705

Author:  Eva M. Spehn, Christian Korner 

Data Mining for Global Trends in Mountain Biodiversity 1st Edition: 

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.

 

Data Mining for Global Trends in Mountain Biodiversity 1st Edition Table of contents:

Chapter 1. Exploring and Explaining Mountain Biodiversity: The Role and Power of Geophysical Informa

Chapter 2. Primary Biodiversity Data— The Foundation for Understanding Global Mountain Biodiversit

Chapter 3. Using Primary Biodiversity Data in Mountain Species Numbers Assessments

Chapter 4. The Global Need for, and Appreciation of, High-Quality Metadata in Biodiversity Database

Chapter 5. A Possible Correlation between the Altitudinal and Latitudinal Ranges of Species in the H

Chapter 6. Exploring Patterns of Plant Diversity in China’s Mountains

Chapter 7. Elevational Pattern of Seed Plant Species Richness in the Hengduan Mountains, Southwest C

Chapter 8. Elevational Gradients of Species Richness Derived from Local Field Surveys versus “Mining

Chapter 9. Species Richness of Breeding Birds along the Altitudinal Gradient-An Analysis of Atlas Da

Chapter 10. Diverse Elevational Diversity Gradients in Great Smoky Mountains National Park, U.S.A.

Chapter 11. Integrating Data across Biodiversity Levels: The Project IntraBioDiv

Chapter 12. A Plant Functional Traits Database for the Alps—Application to the Understanding of Fu

Chapter 13. Using Species Occurrence Databases to Determine Niche Dynamics of Montane and Lowland Sp

Chapter 14. A Georeferenced Biodiversity Databank for Evaluating the Impact of Climate Change in Sou

Chapter 15. Using Georeferenced Databases to Assess the Effect of Climate Change on Alpine Plant Spe

Chapter 16. The “Mountain Laboratory” of Nature—A Largely Unexplored Mine of Information: Synt

Chapter 17. Creative Use of Mountain Biodiversity Databases: The Kazbegi Research Agenda of GMBA-DIV

 

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