Use of support vector machines (SVMs) to predict distribution of an invasive water fern Azolla filiculoides (Lam.) in Anzali wetland, southern Caspian Sea, Iran

Ecological Modelling

Volumn 244, Issue , 2012, Pages 117-126

  Sadeghi, Roghayeh ^a   Zarkami, Rahmat ^b   Sabetraftar, Karim ^b   Van Damme, Patrick ^a  

^a GHENT UNIVERSITY   (Belgium)

^b UNIVERSITY OF GUILAN   (Iran)

Author keywords

Alien species; Azolla filiculoides (Lam.); Ecological modelling; Support vector machines; Wetland management

Indexed keywords

ALIEN SPECIES; AZOLLA FILICULOIDES; CROSS VALIDATION; DISTRIBUTION PATTERNS; ECOLOGICAL MODELLING; EXPLANATORY VARIABLES; HABITAT VARIABLES; KAPPA STATISTIC; MODEL ERRORS; MODEL QUALITIES; OPTIMAL RESULTS; OPTIMISATIONS; PARAMETER SETTING; PHYSICO-CHEMICALS; POLYNOMIAL KERNELS; PREDICTIVE PERFORMANCE; QUANTITATIVE CORRELATION; RANDOMISATION; RELIABLE ESTIMATES; REPRODUCIBILITIES; SOUTHERN CASPIAN SEA; SPECIES DISTRIBUTIONS; STUDY AREAS; WATER QUALITY PARAMETERS; WETLAND CONSERVATION; WETLAND MANAGEMENT; WILDLIFE REFUGE;

ECOSYSTEMS; FORECASTING; OPTIMIZATION; WATER QUALITY; WETLANDS;

SUPPORT VECTOR MACHINES;

CONSERVATION MANAGEMENT; DECISION MAKING; DISSOLVED OXYGEN; ECOLOGICAL MODELING; FERN; INVASIVE SPECIES; NUMERICAL MODEL; PHYSICOCHEMICAL PROPERTY; POPULATION DISTRIBUTION; QUANTITATIVE ANALYSIS; WETLAND MANAGEMENT;

ANZALI WETLAND; CASPIAN SEA; GILAN; IRAN;

AZOLLA; AZOLLA FILICULOIDES; FILICOPHYTA; GALLIRALLUS AUSTRALIS; HYDROPTERIDALES;

EID: 84864407363     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2012.06.029     Document Type: Article

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