If you are experiencing problems downloading PDF or HTML fulltext, our helpdesk recommend clearing your browser cache and trying again. If you need help in clearing your cache, please click here . Still need help? Email help@ingentaconnect.com

Integrating models of relative abundance of species with the dry-weight-rank method for the botanical analysis of forest understorey vegetation

$48.00 plus tax (Refund Policy)

Download / Buy Article:

Abstract:

Abstract

The objective of this work was to determine the applicability of the dry-weight-rank (DWR) method for evaluating the botanical composition of forest understorey vegetation. An analysis of plant species abundance was carried out, and instead of ranking the three most abundant species, as is commonly used, up to twelve ranks were scored. Concurrently, four models of relative abundance distribution (RAD) of species were compared for their ability to explain the abundance of species in the study area. The Power-fraction model resulted in the best goodness-of-fit and it was subsequently used to produce the coefficients for the DWR method. Lin's concordance correlation coefficient, the adjusted coefficient of determination, the residual standard deviation and Spearman's rank-order correlation coefficient indicated a good performance of the DWR method. Biomass data and the Shannon index for diversity were also considered. Further analyses showed that there was a trade-off between the number of ranks scored and the accuracy of the botanical composition produced by the DWR method. It is concluded that, so long as the RAD model that explains the distribution of plant species is known, the DWR method can be applied to forest understorey vegetation.

Keywords: botanical composition; dry-weight-rank method; sampling method; species abundance; understorey vegetation

Document Type: Research Article

DOI: http://dx.doi.org/10.1046/j.1365-2494.2002.00313.x

Affiliations: Institute of Ecology and Resource Management, University of Edinburgh, UK,

Publication date: June 1, 2002

Related content

Tools

Favourites

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more