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Landscape scale analysis of riparian restoration, site selection and adaptive management in California's Cosumnes River Floodplain.

Kaylene Elizabeth. Keller University of California, Davis. 2003

Dissertation Abstracts International 64-03B.

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  • 題名:
    Landscape scale analysis of riparian restoration, site selection and adaptive management in California's Cosumnes River Floodplain.
  • 著者: Kaylene Elizabeth. Keller
  • University of California, Davis.
  • 主題: Biology, Ecology; Environmental Sciences
  • 所屬期刊: Dissertation Abstracts International 64-03B.
  • 描述: Riparian restoration is a key component of river management. Incorporation of landscape scale analysis in the evaluation of restoration activities, restoration site selection and adaptive management can increase the probability of restoration success and knowledge gained from the restoration projects. Geographic Information Systems (GIS) data was used in these three papers to: evaluate the association between landscape scale physical factors and Valley Oak (<italic>Quercus lobata </italic>) growth rates, the design and application of a restoration site selection model, and application of adaptive management to restoration sites at the lower Cosumnes River.
    The growth rates of the Valley Oaks and understory vegetation in 14 of the hand planted restoration sites at the Cosumnes River Preserve (CRP) were surveyed in the summer of 2001. ANOVA and multiple regression analysis showed that soil permeability, distance from the nearest body of water, and change in elevation from the nearest body of water were associated with long-term growth rates. In addition, a TWINSPAN analysis of the understory vegetation suggests that there are two vegetation communities within the restoration sites. These results guided the selection of parameters for the riparian restoration site prioritization and selection model. The model was developed within ARC/INFO'S grid module and can be used by resource managers to identify potential restoration sites and prioritize sites using a combination of environmental variables and user defined selection criteria. First logistic regression was used to identify potential restoration sites. When the model was applied to the lower Cosumnes River watershed, over 85% of existing riparian vegetation was identified within potential riparian vegetation area. Then the model prioritized potential sites based on user defined selection criteria.
    Adaptive management provides resource managers with a method for addressing the inherent uncertainty in ecosystem management. A decision tree was developed using soil texture and flood frequency and the restoration method of irrigation to guide future restoration “experiments” at the CRP. Use of the decision tree to select restoration methods, comparing the results of the restoration to previous restoration sites, and compiling a database of baseline data can reduce the uncertainty associated with restoration of Valley Oaks.
  • 出版者: Thesis (Ph.D.)--University of California, Davis, 2003.
  • 建立日期: 2003
  • 格式: 88 p..
  • 語言: 英文
  • 資源來源: NUTN ALEPH
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