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Shifting Patterns of Summer Lake Color Phenology in Over 26,000 US Lakes.
Topp, Simon N; Pavelsky, Tamlin M; Dugan, Hilary A; Yang, Xiao; Gardner, John; Ross, Matthew R V.
Afiliación
  • Topp SN; Department of Geological Sciences University of North Carolina at Chapel Hill Chapel Hill NC USA.
  • Pavelsky TM; Department of Geological Sciences University of North Carolina at Chapel Hill Chapel Hill NC USA.
  • Dugan HA; Center for Limnology University of Wisconsin-Madison Madison WI USA.
  • Yang X; Department of Geological Sciences University of North Carolina at Chapel Hill Chapel Hill NC USA.
  • Gardner J; Department of Geological Sciences University of North Carolina at Chapel Hill Chapel Hill NC USA.
  • Ross MRV; Department of Geology and Environmental Science University of Pittsburgh Pittsburgh PA USA.
Water Resour Res ; 57(5): e2020WR029123, 2021 May.
Article en En | MEDLINE | ID: mdl-34219822
ABSTRACT
Lakes are often defined by seasonal cycles. The seasonal timing, or phenology, of many lake processes are changing in response to human activities. However, long-term records exist for few lakes, and extrapolating patterns observed in these lakes to entire landscapes is exceedingly difficult using the limited number of available in situ observations. Limited landscape-level observations mean we do not know how common shifts in lake phenology are at macroscales. Here, we use a new remote sensing data set, LimnoSat-US, to analyze U.S. summer lake color phenology between 1984 and 2020 across more than 26,000 lakes. Our results show that summer lake color seasonality can be generalized into five distinct phenology groups that follow well-known patterns of phytoplankton succession. The frequency with which lakes transition from one phenology group to another is tied to lake and landscape level characteristics. Lakes with high inflows and low variation in their seasonal surface area are generally more stable, while lakes in areas with high interannual variations in climate and catchment population density show less stability. Our results reveal previously unexamined spatiotemporal patterns in lake seasonality and demonstrate the utility of LimnoSat-US, which, with over 22 million remote sensing observations of lakes, creates novel opportunities to examine changing lake ecosystems at a national scale.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Water Resour Res Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Water Resour Res Año: 2021 Tipo del documento: Article
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