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    A Simple Method for Predicting the Consequences of Land Management in Urban Habitats

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    Authors
    Young, Christopher
    Jarvis, Peter
    Issue Date
    2001
    
    Metadata
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    Abstract
    Land management in urban areas is characterized by the diversity of its goals and its physical expression in the landscape, as well as by the frequency and often rapidity of change. Deliberate or accidental landscape alterations lead to changes in habitat, some of which may be viewed as environmentally beneficial, others as detrimental. Evaluating what is there and how changes may fit into the landscape context is therefore essential if informed land-management decisions are to be made. The method presented here uses a simple ecological evaluation technique, employing a restricted number of evaluation criteria, to gather a spatially complete data set. A geographical information system (GIS) is then used to combine the resulting scores into a habitat value index (HVI). Using examples from Wolverhampton in the United Kingdom, existing real-world data are then applied to land-management scenarios to predict probable landscape ecological consequences of habitat alteration. The method provides an ecologically relevant, spatially complete evaluation of a large, diverse area in a short period of time. This means that contextual effects of land-management decisions can be quickly visualized and remedial or mitigating measures incorporated at an early stage without the requirement for complex modeling and prior to the detailed ecological survey. The strengths of the method lie in providing a detailed information baseline that evaluates all habitats, not just the traditional “quality” habitats, in a manner that is accessible to all potential users—from interested individuals to professional planners. (Springer Verlag)
    Citation
    Environmental Management, 28(3): 375-387
    Publisher
    Springer New York
    Journal
    Environmental Management
    URI
    http://hdl.handle.net/2436/29714
    DOI
    10.1007/s002670010230
    Additional Links
    https://link.springer.com/article/10.1007%2Fs0026702421
    Type
    Journal article
    Language
    en
    ISSN
    0364-152X
    1432-1009
    ae974a485f413a2113503eed53cd6c53
    10.1007/s002670010230
    Scopus Count
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    Faculty of Science and Engineering

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