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140122 ||| eng |
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|a 9783642561559
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|a Jansen, Martin
|e [editor]
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|a Spatial Modelling in Forest Ecology and Management
|h Elektronische Ressource
|b A Case Study
|c edited by Martin Jansen, Michael Judas, Joachim Saborowski
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250 |
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|a 1st ed. 2002
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260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2002, 2002
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300 |
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|a XV, 227 p
|b online resource
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|a 1 Abstract -- 2 Introduction -- 3 Study areas and basic data -- 3.1 Study areas -- 3.2 Basic data -- 4 Statistical methods for regionalization of ecological state variables -- 4.1 Ordinary Kriging -- 4.2 Trend surface prediction -- 4.3 Kriging with trend -- 4.4 Crossvalidation -- 5 Spatial prediction of climate, soil, and macrofauna -- 5.1 Geomorphological and topoclimatic predictors derived from a DEM . -- Schulz, Mues, Jansen, Judas, Saborowski -- 5.2 Regionalization of climatic elements in Lower Saxony -- Mues, Jansen, Sloboda, Radler, Saborowski -- 5.3 Regionalization of soil chemical variables in the Harz mountains -- Jansen, Eberl, Beese -- 5.4 Regionalization of macrofauna populations -- Judas, Schaefer -- 6 Spatial models for site evaluation and forest planning -- 6.1 Forecast classification for the mapping of forest site properties -- Schulz, Judas -- 6.2 Modelling of forest growth areas in Lower Saxony -- Jansen, StUber, Wachter, Schulz, Schmidt, Saborowski, Mues, Eberl, Sloboda -- 6.3 Modelling of natural woodland communities in the Harz mountains -- Jansen, Schmidt, StUber, Wachter, Naeder, Weckesser, Knauft -- 7 GIS based investigations of effects of the LÖWE program in the Harz mountains -- 7.1 Scenarios of long-term forest stand development in the Harz mountains -- Jansen, Schulz, Konitzer, Sloboda -- 7.2 Economic effects of the LÖWE program in the Harz mountains -- Konitzer, Bitter, jansen -- List of Figures -- List of Tables
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653 |
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|a Environmental chemistry
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653 |
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|a Geographical Information System
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653 |
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|a Earth System Sciences
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653 |
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|a Forestry
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653 |
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|a Environmental Chemistry
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653 |
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|a Physical geography
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653 |
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|a Geographic information systems
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700 |
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|a Judas, Michael
|e [editor]
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|a Saborowski, Joachim
|e [editor]
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|a eng
|2 ISO 639-2
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|b SBA
|a Springer Book Archives -2004
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|a 10.1007/978-3-642-56155-9
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|u https://doi.org/10.1007/978-3-642-56155-9?nosfx=y
|x Verlag
|3 Volltext
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|a 910.02
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|a 550
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|a In this book, GIS-based geomorphological, statistical, and geostatistical methods are used to improve the ecological site description of forest areas. Possibilities and limitations of the regionalization of climatic, soil, and macrofauna point measurements are presented. The resulting maps of indicators provide a broad and precise basis for forest planning and are essential for an integration of ecological and economic aspects of forest management.The applicability for forest practice is exemplified by the delimitation of forest site classes and of forest growth districts as well as the modelling of potential natural woodland communities. A scenario technique was used to simulate the forest stand development in the Harz mountains and to reveal the economic and ecological results of new management guidelines that are favoured by the forest administration. Spatial modelling and GIS-based information and planning systems provide improved data bases that are valuable instruments to describe the consequences of different management guidelines. Thus, they make a major contribution to a fruitful discussion about sustainable forest management
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