Spatio-temporal prediction of site index based on forest inventories and climate change scenarios

Forest Ecology and Management

Volumn 279, Issue , 2012, Pages 97-111

  Nothdurft, Arne ^a   Wolf, Thilo ^a   Ringeler, Andre ^b   Böhner, Jürgen ^b   Saborowski, Joachim ^c  

^a Baden Württemberg Forest Research Institute   (Germany)

^b UNIVERSITY OF HAMBURG   (Germany)

^c UNIVERSITY OF GÖTTINGEN   (Germany)

Author keywords

Climate change; Forest inventory; Site index prediction

Indexed keywords

B-SPLINE; CLIMATE CHANGE SCENARIOS; CLIMATE PROJECTION; COMMON BEECH; COMMON OAK; COVARIANCE FUNCTION; COVARIATES; COVERAGE PROBABILITIES; DOUGLAS FIR; EMISSION SCENARIO; FOREST INVENTORY; FUTURE CLIMATE; KRIGING; LARGE DATASETS; MEAN FUNCTIONS; METHODOLOGICAL FRAMEWORKS; MOUNTAINOUS REGIONS; NORWAY SPRUCE; ORDINARY LEAST SQUARES; PREDICTION INTERVAL; REGIONAL CLIMATE MODELS; REGRESSION TECHNIQUES; SAMPLE SIZES; SCOTS PINE; SILVER FIR; SIMULATION STUDIES; SITE CONDITIONS; SITE INDEX; SPATIO-TEMPORAL PREDICTION; TREE SPECIES; UNIVERSAL KRIGING;

CLIMATE CHANGE; CLIMATE MODELS; FORECASTING; INTERPOLATION;

FORESTRY;

CLIMATE CHANGE; CLIMATE CONDITIONS; CONIFEROUS TREE; DECIDUOUS TREE; ECOLOGICAL MODELING; FOREST INVENTORY; FOREST MANAGEMENT; INDEX METHOD; MOUNTAIN REGION; PREDICTION; REGRESSION ANALYSIS; SPATIOTEMPORAL ANALYSIS; STAND STRUCTURE;

BIODIVERSITY; FORECASTS; FORESTS; GERMANY; INVENTORY CONTROL; MATHEMATICAL MODELS; PROBABILITY; SEASONAL VARIATION; SITE INDEX;

GERMANY;

ABIES; FAGUS; PICEA ABIES; PINUS SYLVESTRIS; PSEUDOTSUGA; PSEUDOTSUGA MENZIESII;

EID: 84862661129     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2012.05.018     Document Type: Article

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