Fisher discriminant analysis method applied in drought detection: an instance in an alpine meadow ecosystem

Abstract Fisher discriminant analysis can comprehensively take multiple factors into consideration and effectively conduct separations between two classes. If it be used to detect the occurrences of drought, drought detected more accurately. Based on 9-year carbon flux corresponding meteorological data, soil water content (SWC) vapor pressure deficit (VPD) were selected as factors. Drought by applying method in an alpine ecosystem Tibet. was successfully applied occurrence meadow ecosystem. The atmospheric taken consideration. Consequently, this could onset end date droughts accurately reasonably. characteristics non-drought samples, equation constructed y = 24.46SWC − 4.60VPD. When > 1, days distributed above critical line. In addition, when greater than one for 10 days, labeled event. interval processes less 2 considered With increasing study period continued accumulation observation further optimized future, resulting accurate detection.