Spatial Modelling in Forest Ecology and Management A Case Study

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 indica...

Full description

Bibliographic Details
Other Authors: Jansen, Martin (Editor), Judas, Michael (Editor), Saborowski, Joachim (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2002, 2002
Edition:1st ed. 2002
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
LEADER 03854nmm a2200361 u 4500
001 EB000664756
003 EBX01000000000000000517838
005 00000000000000.0
007 cr|||||||||||||||||||||
008 140122 ||| eng
020 |a 9783642561559 
100 1 |a Jansen, Martin  |e [editor] 
245 0 0 |a Spatial Modelling in Forest Ecology and Management  |h Elektronische Ressource  |b A Case Study  |c edited by Martin Jansen, Michael Judas, Joachim Saborowski 
250 |a 1st ed. 2002 
260 |a Berlin, Heidelberg  |b Springer Berlin Heidelberg  |c 2002, 2002 
300 |a XV, 227 p  |b online resource 
505 0 |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 
653 |a Environmental chemistry 
653 |a Geographical Information System 
653 |a Earth System Sciences 
653 |a Forestry 
653 |a Environmental Chemistry 
653 |a Physical geography 
653 |a Geographic information systems 
700 1 |a Judas, Michael  |e [editor] 
700 1 |a Saborowski, Joachim  |e [editor] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b SBA  |a Springer Book Archives -2004 
028 5 0 |a 10.1007/978-3-642-56155-9 
856 4 0 |u https://doi.org/10.1007/978-3-642-56155-9?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 910.02 
082 0 |a 550 
520 |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