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An interpretable machine learning method for supporting ecosystem management: Application to species distribution models of freshwater macroinvertebrates

YoonKyung Cha, Jihoon Shin, ByeongGeon Go, Dae‐Seong Lee, Young Woo Kim, TaeHo Kim, Young‐Seuk Park

2021Journal of Environmental Management114 citationsDOI

Topics & Concepts

InterpretabilitySpecies distributionRange (aeronautics)EcologyVariable (mathematics)Random forestSuiteEcosystemMachine learningLimitingComputer scienceMathematicsGeographyBiologyEngineeringMathematical analysisArchaeologyAerospace engineeringHabitatMechanical engineeringSpecies Distribution and Climate ChangeFish Ecology and Management StudiesFreshwater macroinvertebrate diversity and ecology
An interpretable machine learning method for supporting ecosystem management: Application to species distribution models of freshwater macroinvertebrates | Litcius