Evaluating the performance of temporal and spatial early warning statistics of algal blooms.

Buelo, C D; Pace, M L; Carpenter, S R; Stanley, E H; Ortiz, D A; Ha, D T

Buelo, C D; Pace, M L; Carpenter, S R; Stanley, E H; Ortiz, D A; Ha, D T.

Afiliación

Buelo CD; Department of Environmental Sciences, University of Virginia, Charlottesville, Virginia, USA.
Pace ML; Center for Limnology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Carpenter SR; Department of Environmental Sciences, University of Virginia, Charlottesville, Virginia, USA.
Stanley EH; Center for Limnology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Ortiz DA; Center for Limnology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Ha DT; Center for Limnology, University of Wisconsin-Madison, Madison, Wisconsin, USA.

Ecol Appl ; 32(5): e2616, 2022 07.

Article en En | MEDLINE | ID: mdl-35368134

Asunto(s)

Ecosistema; Eutrofización; Lagos

Palabras clave

algal blooms; early warning statistics; regime shift; resilience; spatial data; time series

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Ecosistema / Eutrofización Idioma: En Revista: Ecol Appl Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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