A GIS-based integrated approach predicts accurately post-fire Aleppo pine regeneration at regional scale

Annals of Forest Science

Volumn 69, Issue 4, 2012, Pages 519-529

  Poirazidis, Kostas S ^a,b   Zografou, Konstantina ^a   Kordopatis, Panagiotis ^a   Kalivas, Dionissios P ^c   Arianoutsou, Margarita ^d   Kazanis, Dimitrios ^d   Korakaki, Evangelia ^a  

^a WWF Greece   (Greece)

^b IONIAN UNIVERSITY   (Greece)

^c AGRICULTURAL UNIVERSITY OF ATHENS   (Greece)

^d UNIVERSITY OF ATHENS   (Greece)

Author keywords

AHP; Geostatistics; MCDA; Pinus halepensis; Redundancy analysis; Regeneration

Indexed keywords

ACCURACY ASSESSMENT; BAYESIAN ANALYSIS; CONIFEROUS FOREST; CORRELATION; FOREST FIRE; FOREST MANAGEMENT; GEOSTATISTICS; GIS; GRASS; REGENERATION; SEEDLING;

ELIS; GREECE; PELOPONNESE; WESTERN GREECE;

ILIA; PINUS HALEPENSIS;

EID: 84866041988     PISSN: 12864560     EISSN: 1297966X     Source Type: Journal    
DOI: 10.1007/s13595-012-0222-3     Document Type: Article

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