Characterizing spatial-temporal tree mortality patterns associated with a new forest disease

Forest Ecology and Management

Volumn 253, Issue 1-3, 2007, Pages 220-231

  Liu, Desheng ^a   Kelly, Maggi ^b   Gong, Peng ^b   Guo, Qinghua ^c  

^a OHIO STATE UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c Merced   (United States)

Author keywords

Inhomogeneous K function; Neyman Scott point process; Spatial point pattern analysis; Spatial temporal patterns; Sudden Oak Death

Indexed keywords

COMPUTER SIMULATION; FORESTRY; HARDWOODS;

INHOMOGENEOUS K FUNCTION; NEYMAN-SCOTT POINT PROCESS; SPATIAL POINT PATTERN ANALYSIS; SPATIAL-TEMPORAL PATTERNS; SUDDEN OAK DEATH;

PATHOGENS;

DECIDUOUS TREE; DIGITAL MAPPING; FUNGAL DISEASE; MORTALITY; REGIONAL PATTERN; REMOTE SENSING; SATELLITE IMAGERY; SPATIAL RESOLUTION; SPATIOTEMPORAL ANALYSIS;

FORESTRY; HARDWOODS; PATHOGENS;

CALIFORNIA; CHINA CAMP STATE PARK; NORTH AMERICA; OREGON; UNITED STATES;

PHYTOPHTHORA; PHYTOPHTHORA RAMORUM; UMBELLULARIA CALIFORNICA;

EID: 36048968560     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2007.07.020     Document Type: Article

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