Spatial Modelling in Forest Ecology and Management

• 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.

From the reviews: "This book focuses on the integration of spatial statistics, GIS-technology, ecosystem studies, and scenario modelling. Its main aim is to extend the information gained at the stand level to larger spatial scales, i.e. to forest districts, forest landscapes or to the total area of Lower Saxony. ... This book is an indispensable tool for scientists and those involved in forest management." (Annals of Forest Science, Issue 1, 2003)