
A Model Of Biodiversity Taxonomy Database (iTaxo) For Managing And Analysing Kenyir Landscape Biodiversity Data
Author(s) -
Salwana Mohamad Asmara,
Mustafa Man,
Mohd Tajuddin Abdullah
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/769/1/012017
Subject(s) - biodiversity , measurement of biodiversity , environmental resource management , computer science , taxonomy (biology) , geography , database , ecology , biodiversity conservation , environmental science , biology
Biodiversity data management and analysis is a complex task that must be handled by biodiversity researchers. The large amount of data and complicated interaction of the data are the main problem in the biodiversity field. Data accessibility also becomes the main issue to create a data sharing environment among other biodiversity researchers. This is important element since the data is related to each other. A standardized form of data model for biodiversity data is not well implemented in real world. This study discussed about the database model for biodiversity taxonomy data (iTaxo) in order to manage the biodiversity data. We implement the Kenyir landscape which is located at the state of Terengganu in Malaysia as our case study data since the landscape is rich with biodiversity species and ecosystem. As a result, the model can be applied to manage, analyse and evaluate the biodiversity status at the landscape for conservation effort.