Abstract
Abstract Phytosociological data from 51 forest study plots in the Maungataniwha Range, New Zealand, were analysed by numerical techniques including ordination, classification, and direct gradient analysis to identify vegetation/ environmental patterns. Nine community types segregated by specific ranges of environmental conditions were identified. Interpretations of ordination axes suggest temperature and moisture are prime factors affecting community composition. Gradient analysis is seen as an important step in evaluating the representativeness of existing and potential nature reserves. Previously, the techniques have been shown to be useful in an area where vegetation/environmental patterns are obvious. The present study demonstrates the utility where patterns are not obvious.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
