Spatial Modelling in Forest Ecology and Management: A Case Study - Couverture rigide

Couverture rigide

ISBN 10 : 3540433570 ISBN 13 : 9783540433576

Editeur : Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 2002

Synopsis

1 Abstract.- 2 Introduction.- 3 Study areas and basic data.- 3.1 Study areas.- 3.2 Basic data.- 3.2.1 Digital Elevation Models.- 3.2.2 Primary Forest Layers.- 3.2.2.1 Forest Inventory.- 3.2.2.2 Forest Site Evaluation.- 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.- 5.1.1 Location dependent variables.- 5.1.2 First and second order derivatives of a DEM.- 5.1.3 Lee indices.- 5.1.4 Catchment size and related variables.- 5.1.5 Length of upward slopes.- 5.1.6 Relative exposure.- 5.1.7 Shape-Position Indices.- 5.1.8 Insolation indices.- 5.1.9 Quantification of landuse.- 5.2 Regionalization of climatic elements in Lower Saxony.- Mues, Jansen, Sloboda, Radler, Saborowski.- 5.2.1 Introduction.- 5.2.2 Sites and measurements.- 5.2.2.1 German Meteorological Service (DWD).- 5.2.2.2 Harz Mountains Waterworks (HWW).- 5.2.2.3 TRANSECT data.- 5.2.3 Localization of measurement stations.- 5.2.3.1 Accuracy of position.- 5.2.3.2 Shifting of the measurement stations.- 5.2.4 Models.- 5.2.4.1 Stratified models for Mountainous Region and Plains.- 5.2.4.2 Precipitation.- 5.2.4.2.1 Precipitation Plains.- 5.2.4.2.2 Precipitation Mountainous Region.- 5.2.4.3 Air temperature.- 5.2.4.3.1 Air temperature Plains.- 5.2.4.3.2 Air temperature Mountainous Region.- 5.2.5 Spatial representation of statistical models.- 5.2.6 Summary.- 5.3 Regionalization of soil chemical variables in the Harz mountains.- Jansen, Eberl, Beese.- 5.3.1 Introduction.- 5.3.2 Fundamentals of forest site evaluation: theory and models.- 5.3.3 Materials.- 5.3.4 Statistical analyses.- 5.3.5 Results and discussion.- 5.3.5.1 Geological substrates as a predictor of soil chemical variables.- 5.3.5.2 Nutrient index as a predictor of soil chemical variables.- 5.3.6 Multivariate models.- 5.3.7 Outlook.- 5.3.8 Summary.- 5.4 Regionalization of macrofauna populations.- Judas, Schaefer.- 5.4.1 Introduction.- 5.4.2 Area data.- 5.4.3 Point data.- 5.4.3.1 Sampling.- 5.4.3.2 Local habitat.- 5.4.4 Distribution patterns.- 5.4.4.1 General patterns.- 5.4.4.2 Species - habitat relations.- 5.4.4.3 Sampling stratification.- 5.4.5 Case study - distribution models for Pterostichus madidus.- 5.4.5.1 Initial Anova models.- 5.4.5.2 Multiple regression models.- 5.4.6 Multiple regression models for carabid beetle species.- 5.4.6.1 Optimization.- 5.4.6.2 Prediction.- 5.4.6.3 Habitat factors.- 5.4.6.4 Conclusions.- 5.4.7 Summary.- 6 Spatial models for site evaluation and forest planning.- 6.1 Forecast classification for the mapping of forest site properties.- Schulz, Judas.- 6.1.1 Principles of site mapping.- 6.1.2 Topoclimatic layers as support tools for mapping.- 6.1.2.1 Relative exposure in an unlimited surrounding.- 6.1.2.2 Insolation.- 6.1.2.3 Exposure to wind.- 6.1.3 Statistical approach to the modelling of relief units.- 6.1.3.1 Conceptual framework.- 6.1.3.2 Model quality indices.- 6.1.3.3 Implementation.- 6.1.3.4 Limitations to the modelling approach.- 6.1.3.5 Model selection.- 6.1.4 Statistical classification of moisture variants.- 6.1.4.1 Database.- 6.1.4.2 Modelling.- 6.1.4.3 Classification probabilities.- 6.1.5 Rule-based modelling of relief units.- 6.1.5.1 Shortcomings of the statistical approach.- 6.1.5.2 Implementation of classification rules.- 6.1.6 Conclusions.- 6.2 Modelling of forest growth areas in Lower Saxony.- Jansen, StUber, Wachter, Schulz, Schmidt, Saborowski, Mues, Eberl, Sloboda.- 6.2.1 Introduction.- 6.2.2 Analysis of current growth areas of Lower Saxony.- 6.2.3 Modelling of growth areas.- 6.2.3.1 Atlanticity-Continentality.- 6.2.3.2 Altitude belts.- 6.2.3.2.1 Influence of elevation and catchment size.- 6.2.3.2.2 Solar radiation.- 6.2.3.2.3 Cold air on level planes.- 6.2.3.2.4 Delimitation of altitu...

A propos du livre

Présentation de l'éditeur

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. The studies demonstrate the potential and limitations of regionalization approaches for forest ecological variables. The results provide valuable spatial information for forest managers and landscape planners as well as for policy-makers. Some spatial models outlined in this book have been implemented as useful tools in present forest management. With current improvements of data quality, e.g. from remote sensing and refined ground-based inventories, methods are now available to develop large-scale approaches to forest ecology and management. This book is an indispensable tool for scientists and those involved in forest management.

Détails de l'édition

• Éditeur: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
• Date d'édition: 2002
• Langue: anglais
• ISBN 10: 3540433570
• ISBN 13: 9783540433576
• Reliure: Relié
• Nombre de pages: 240
• Éditeur: Jansen Martin, Judas Michael, Saborowski Joachim
• Coordonnées du fabricant: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Allemagne