doi:10.1038/npre.2009.3327.1
Document Type:
Poster
Date:
Received 05 June 2009 11:11 UTC; Posted 08 June 2009
Subjects:
Ecology, Bioinformatics
Tags:
Abstract:

Biodiversity is a multi-dimensional concept that is represented by a large variety of measures. This complexity and lack of consistency limits the development of a coherent scientific understanding of biodiversity and how properties, such as ecosystem services, may depend on it. Here, I demonstrate that the formal discipline of creating a relational database (RDB) for information about biodiversity and its measures, is a useful tool in organising such knowledge into coherent sense. Following steps of the logical database design and data normalization to build a RDB, results in a formal definition of biodiversity within a well defined concept structure; mapping rules between the concepts of biodiversity and entities of RDB and a consistent information structure – all in one place. I show how this is then used to support evidence-based objective statements about biodiversity.

Presented at:
E-Biosphere conference, London, UK, 01 June 2009

Discussion

Votes:

2 votes

(Login to vote)

Comments:

0 comments

(Login to post a comment)

(Login to share with a colleague)

Additional information

License:
This document is licensed to the public under the Creative Commons Attribution 3.0 License
How to cite this document:

Lyashevska, Olga. How do we quantify biodiversity? All the evidence in one place.. Available from Nature Precedings <http://dx.doi.org/10.1038/npre.2009.3327.1> (2009)

Version info:

Other versions of this document in Nature Precedings

None.

Other versions of this document elsewhere on the web

None known.

Participate

Related Documents

Advertisement