Forecasting and control of emerging infectious forest disease through participatory modelling

Philosophical Transactions of the Royal Society B: Biological Sciences

Volumn 374, Issue 1776, 2019, Pages

  Gaydos, Devon A ^a,b   Petrasova, Anna ^b   Cobb, Richard C ^c   Meentemeyer, Ross K ^a,b  

^a Department of Forestry and Environmental Resources ^*  (United States)

^b NORTH CAROLINA STATE UNIVERSITY   (United States)

^c CALIFORNIA POLYTECHNIC STATE UNIVERSITY   (United States)

Author keywords

Forest disease; Geospatial; Landscape epidemiology; Participatory research; Stakeholder engagement; Tangible interaction

Indexed keywords

DISEASE CONTROL; DISEASE SPREAD; EPIDEMIOLOGY; FORECASTING METHOD; FOREST ECOSYSTEM; FUNGAL DISEASE; INFECTIOUS DISEASE; LANDSCAPE ECOLOGY; NUMERICAL MODEL; PARTICIPATORY APPROACH; RESEARCH WORK; SCENARIO ANALYSIS; STAKEHOLDER;

OREGON; UNITED STATES;

ANIMALIA; PHYTOPHTHORA RAMORUM;

EID: 85065444581     PISSN: 09628436     EISSN: 14712970     Source Type: Journal    
DOI: 10.1098/rstb.2018.0283     Document Type: Article

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