Shifting Patterns of Summer Lake Color Phenology in Over 26,000 US Lakes
| Autor: | S. Topp, Xiao Yang, Hilary A. Dugan, Matthew R. V. Ross, John R. Gardner, Tamlin M. Pavelsky |
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| Rok vydání: | 2020 |
| Předmět: |
Space Geodetic Surveys
Informatics 010504 meteorology & atmospheric sciences Limnology 0208 environmental biotechnology Drainage basin 02 engineering and technology Time Series Experiments Biogeosciences 01 natural sciences Population density Biogeochemical Kinetics and Reaction Modeling Remote Sensing Oceanography: Biological and Chemical Phytoplankton succession big data lakes Stochastic Phenomena Water Science and Technology geography.geographical_feature_category Phenology Nonlinear Geophysics Remote Sensing and Disasters Biogeochemistry Oceanography: General Atmospheric Processes Probability Distributions Heavy and Fat‐tailed ecology Cryosphere Biogeochemical Cycles Processes and Modeling Mathematical Geophysics Research Article Persistence Memory Correlations Clustering Volcanology Temporal Analysis and Representation phenology Paleoceanography Extreme Events medicine Remote Sensing of Volcanoes Geodesy and Gravity Global Change Time Series Analysis Data Assimilation Integration and Fusion 0105 earth and related environmental sciences geography Stochastic Processes Lake ecosystem Seasonality medicine.disease 020801 environmental engineering Environmental science Space Plasma Physics Physical geography Hydrology Scale (map) Scaling: Spatial and Temporal Natural Hazards |
| Zdroj: | Water Resources Research |
| ISSN: | 0043-1397 |
| Popis: | 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. Key Points Summer lake color phenology can be generalized into five distinct seasonal patterns of greening and blueing eventsSince the mid‐1990s, the number of lakes with color patterns corresponding to eutrophic waterbodies has been increasingWe observe these patterns using a new U.S. lake remote sensing data set that contains over 22 million lake observations |
| Databáze: | OpenAIRE |
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