Equation-free mechanistic ecosystem forecasting using empirical dynamic modeling

Proceedings of the National Academy of Sciences of the United States of America

Volumn 112, Issue 13, 2015, Pages E1569-E1576

  Ye, Hao ^a   Beamish, Richard J ^b   Glaser, Sarah M ^c   Grant, Sue C H ^d   Hsieh, Chih Hao ^e   Richards, Laura J ^b   Schnute, Jon T ^b   Sugihara, George ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b PACIFIC BIOLOGICAL STATION   (Canada)

^c UNIVERSITY OF DENVER   (United States)

^d FISHERIES AND OCEANS CANADA   (Canada)

^e NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Ecosystem forecasting; Empirical dynamic modeling; Fisheries ecology; Nonlinear dynamics; Physical biological interactions

Indexed keywords

ARTICLE; CANADA; COLOMBIA; CONTROLLED STUDY; DYNAMICS; ECOSYSTEM; EMPIRICAL DYNAMIC MODELING; ENVIRONMENTAL FACTOR; FISHERY; FORECASTING; NONBIOLOGICAL MODEL; NONHUMAN; NONLINEAR SYSTEM; ONCORHYNCHUS; ONCORHYNCHUS NERKA; PRIORITY JOURNAL; RIVER; SPAWNING; TIME SERIES ANALYSIS; ANIMAL; ENVIRONMENTAL MONITORING; FEMALE; POPULATION DYNAMICS; SALMONINE; SEA; SPECIES DIFFERENCE; THEORETICAL MODEL;

ONCORHYNCHUS NERKA;

ANIMALS; BRITISH COLUMBIA; ECOSYSTEM; ENVIRONMENTAL MONITORING; FEMALE; FISHERIES; MODELS, THEORETICAL; NONLINEAR DYNAMICS; OCEANS AND SEAS; POPULATION DYNAMICS; RIVERS; SALMON; SPECIES SPECIFICITY;

EID: 84926059438     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1417063112     Document Type: Article

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