文化大學機構典藏 CCUR:Item 987654321/2839
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 46867/50733 (92%)
Visitors : 11891347      Online Users : 607
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/2839


    Title: Predicting the geographical distribution of plant communities in complex terrain - a case study in Fushian Experimental Forest, northeastern Taiwan
    Authors: Chang CR;Lee PF;Bai ML;Lin TT
    Contributors: 景觀系
    Date: 2004
    Issue Date: 2009-11-23 11:16:33 (UTC+8)
    Abstract: Ecosystem management and biodiversity conservation are usually implemented using information of several targeted species or cover-types and usually do not include information about communities. This is not because community-level information is unimportant for management purposes, but because the detailed fieldwork required for gathering community-level information at the scale for ecosystem management is usually impractical. We propose two methods to estimate the geographical distribution of plant communities with the objectives of covering large areas with minimal field efforts. The first method estimates the geographical distribution of plant communities by combining clustering methods with vegetation modeling, and the second extrapolates the geographical distribution of gradients in plant communities by combining gradient analysis with vegetation modeling. Vegetation modeling with clustering methods can be used to allocate sites with potentially higher alpha diversity, with the benefit of having a list of species associated with the clustered type. Vegetation modeling with gradient analysis can be used to identify regions with potentially the highest beta diversity by means of selecting regions with the widest range or highest variability in major DCA axes scores, and thereby help to preserve the scope of environmental conditions that lead to diversity in species assemblages. This is especially important because biological entities such as species, communities, or even ecosystems may cease to exist in the long run, and the preservation of processes that lead to biodiversity will eventually become more meaningful. We conclude that new methods to study and manage the processes that contribute to biodiversity at all scales should be and can be developed.
    Relation: ECOGRAPHY Volume: 27 Issue: 5 Pages: 577-588
    Appears in Collections:[Department of Landscape Architecture & Graduate Institute of Landscape Architecture ] journal articles

    Files in This Item:

    There are no files associated with this item.



    All items in CCUR are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback