Is cellular automata algorithm able to predict the future dynamical shifts of tree species in Italy under climate change scenarios? A methodological approach

Ecological Modelling

Volumn 222, Issue 4, 2011, Pages 925-934

  Di Traglia, Mario ^a   Attorre, Fabio ^b   Francesconi, Fabio ^b   Valenti, Roberto ^b   Vitale, Marcello ^a,b  

^a UNIVERSITY OF MOLISE   (Italy)

^b SAPIENZA UNIVERSITY OF ROME   (Italy)

Author keywords

2 D cellular automata; Climate change; Importance Value; Logistic analysis; Mediterranean basin; Potential tree species shift

Indexed keywords

2-D CELLULAR AUTOMATA; IMPORTANCE VALUE; LOGISTIC ANALYSIS; MEDITERRANEAN BASIN; TREE SPECIES;

CELLULAR AUTOMATA; ECOSYSTEMS; FORESTRY; PATTERN RECOGNITION SYSTEMS; STATISTICAL METHODS; VEGETATION;

CLIMATE CHANGE;

CELLULAR AUTOMATON; CLIMATE CHANGE; CLIMATE EFFECT; FOREST DYNAMICS; FOREST ECOSYSTEM; GEOMORPHOLOGY; LAND COVER; NUMERICAL MODEL; POPULATION DISTRIBUTION; RESOURCE AVAILABILITY; TREE; TWENTY FIRST CENTURY;

CLIMATES; ECOSYSTEMS; FORESTRY; PLANTS; STATISTICAL ANALYSIS;

ITALY;

ABIES; ABIES ALBA; ACER; FAGUS; FAGUS SYLVATICA; PINUS SYLVESTRIS; QUERCUS SUBER;

EID: 78651455290     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2010.12.009     Document Type: Article

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