rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Spatial modeling of succession in a subtropical savanna
  name:
    name part: Hsieh, Yi-Te Chu
    name part: 1961-
    role:
      role term: creator
  name:
    name part: Loh, Douglas K.
    role:
      role term: degree supervisor.
  name:
    name part: Wu, Hsin-i
    role:
      role term: degree supervisor.
  name:
    name part: Archer, Steven R.
    role:
      role term: degree committee member.
  name:
    name part: Etter, Bradley D.
    role:
      role term: degree committee member.
  name:
    name part: Maggio, Robert C.
    role:
      role term: degree committee member.
  name:
    name part: Texas A & M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  genre: Academic theses
  origin info:
    place:
      place term: xx
    date issued: 1993
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xi, 172 leaves : illustrations ; 28 cm
  abstract: A spatial modeling technique integrating conventional modeling with modern computer technologies is presented. The purpose of this study is to utilize geographic information systems (GIS) and rule-based expert systems to spatially model secondary succession on a savanna woodland site in southern Texas, USA. The study site was a 600 m x 600 m area which consists of mesquite clusters distributed on a grassy matrix. Cluster distribution found in the 1941 aerial photograph was used to recreate the initial landscape for the study site. Relative growth rates for clusters in various size classes were determined from data obtained from the 1960 and 1983 aerial photographs. A rule base containing factors which believed to have regulated landscape development was linked to the growth model using computer programs written in the C language. Landscape patterns were then generated, analyzed and displayed through manipulation of a raster-based GIS software [Geographical Resources Analysis Support System (GRASS)]. The simulation result was compared to the most recent (1990) photograph to evaluate model performance. Different fire control scenarios were also introduced to predict the landscape change from 1990 to 2040. The simulation result verified the roles of annual rainfall and soil characteristics. It also suggested that with proper control, the landscape could be maintained at its current state. On the other hand, if cluster development continues at its present rate, succession from open savanna to closed-canopy woodland would occur.
  note: Vita.
  note: "Major subject: Bioengineering."
  note: Includes bibliographical references.
  note: Ph. D. Texas A & M University 1993
  subject:
    topic: Major bioengineering
  identifier: http://proxy.library.tamu.edu/login
  related item:
    location:
      url: http://proxy.library.tamu.edu/login
  record info:
    record content source: TXA
    record creation date: 960305
    record change date: 20210410063258.0
    record identifier: in00001266479
    language of cataloging:
      language term: eng