Landscape metrics as a tool for evaluating scenarios for flood prevention and nature conservation
Author(s) -
Sylvi Bianchin,
Elke Richert,
Hermann Heilmeier,
Mariusz Merta,
Christina Seidler
Publication year - 2011
Publication title -
landscape online
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.436
H-Index - 14
ISSN - 1865-1542
DOI - 10.3097/lo.201125
Subject(s) - biotope , environmental resource management , land use , flood myth , weighting , geography , floodplain , scale (ratio) , environmental science , ecology , cartography , habitat , medicine , archaeology , radiology , biology
Within the framework of the project „Flood Prevention and Nature Conservation in the Weisseritz area“ („HochNatur“),\uda method including landscape metrics was developed and applied to assess and to compare different land\uduse scenarios with regard to flood prevention and nature conservation. For the analysis, two sub-catchments strongly\uddiffering in land use within the Weisseritz catchment (Eastern Erzgebirge, Saxony, Germany) were selected. The\udfirst step of the evaluation procedure was a biotope assessment using three assessment criteria (naturalness, substitutability,\udrareness / endangerment). However, the biotope assessment did not yield any information about spatial\uddistribution or the structural composition of the landscape. Therefore, landscape metrics were applied to analyse the\udstructural and biotope type diversity at the landscape scale. Different landscape metrics (Shannon/Weaver diversity\udindex, mean patch size index, Interdispersion/Juxtaposition index) and a weighting system were used to compare the\uddifferent land use scenarios and the current state. The analysed catchment areas differ substantially in terms of their\udcurrent state and potential measures regarding flood prevention and nature conservation depending on the location\udand distribution of biotope types. It was demonstrated that this method can be used for small catchment areas regardless\udof their land use for assessing, analysing and comparing different land use scenarios for a specific area
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