Code: 16387199

Data Mining for Global Trends in Mountain Biodiversity

Name: Data Mining for Global Trends in Mountain Biodiversity
Brand: Taylor & Francis Ltd
SKU: 16387199
Price: 110.08 EUR
Availability: BackOrder
Author: Christian Korner
ISBN: 9781138112636

by Christian Korner, Eva M. Spehn

Language: English
Binding: Paperback
Number of pages: 200
Publisher: Taylor & Francis Ltd, 2017
More about this

110.08 €

RRP: 110.12 €

You save 0.04 €

Availability:

50/50

We think title might be available. Upon your order we will do our best to get it within 6 weeks.
We search the world

Availability alert

Add to wishlist

The Wealth and Poverty of Nations
18.25 € -24 %
Buy
Graph Neural Networks: Foundations, Frontiers, and Applications
120.98 €
Buy

Give this book as a present today

Order book and choose Gift Order.
We will send you book gift voucher at once. You can give it out to anyone.
Book will be send to donee, nothing more to care about.

Book gift voucher sample Read more

Availability alert

We will watch availability for you

Enter your e-mail address and once book will be available,
we will send you a message. It's that simple.

More about Data Mining for Global Trends in Mountain Biodiversity

Book details
Synopsis
Trending among others

You get 267 loyalty points

Book synopsis

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.