Stochastic dynamics of Cyanobacteria in long‐term high‐frequency observations of a eutrophic lake

Carpenter, Stephen R.; Arani, Babak M. S.; Hanson, Paul C.; Scheffer, Marten; Stanley, Emily H.; Nes, Egbert H. van

doi:10.1002/lol2.10152

Cited by 32 publications

(38 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The method can be applied to a highly resolved time series of the collective state of interest; for example, the collective state could be group polarization (or group consensus), which quantifies the degree of directional alignment (or agreement among many choices) among group members. The method we describe can be traced to van Kampen [20,21] in the general context of stochastic processes in physics and chemistry, but was later developed further [13,22,23] and applied even in some biological studies [15,[24][25][26][27]. However, many important issues about the method-especially, the appropriate time scale needed to characterize such dynamics-although crucial, remain unresolved.…”

Section: Introductionmentioning

confidence: 99%

Noise-induced effects in collective dynamics and inferring local interactions from data

Jhawar

Guttal

2020

Phil. Trans. R. Soc. B

View full text Add to dashboard Cite

In animal groups, individual decisions are best characterized by probabilistic rules. Furthermore, animals of many species live in small groups. Probabilistic interactions among small numbers of individuals lead to a so-called intrinsic noise at the group level. Theory predicts that the strength of intrinsic noise is not a constant but often depends on the collective state of the group; hence, it is also called a state-dependent noise or a multiplicative noise . Surprisingly, such noise may produce collective order. However, only a few empirical studies on collective behaviour have paid attention to such effects owing to the lack of methods that enable us to connect data with theory. Here, we demonstrate a method to characterize the role of stochasticity directly from high-resolution time-series data of collective dynamics. We do this by employing two well-studied individual-based toy models of collective behaviour. We argue that the group-level noise may encode important information about the underlying processes at the individual scale. In summary, we describe a method that enables us to establish connections between empirical data of animal (or cellular) collectives and the phenomenon of noise-induced states, a field that is otherwise largely limited to the theoretical literature. This article is part of the theme issue ‘Multi-scale analysis and modelling of collective migration in biological systems’.

show abstract

Section: Introductionmentioning

confidence: 99%

Noise-induced effects in collective dynamics and inferring local interactions from data

Jhawar

Guttal

2020

Phil. Trans. R. Soc. B

View full text Add to dashboard Cite

show abstract

“…The theory of alternative stable states remains a central concept for the study and understanding of shallow lake systems (Carpenter et al, 2020;Dakos et al, 2019;Schallenberg, 2020). While the effects of INNS on shallow lakes are widely documented, there has been no attempt to systematically appraise the likely outcome of multiple taxonomic or functional groups on the recipient ecosystem.…”

mentioning

confidence: 99%

Global impacts of invasive species on the tipping points of shallow lakes

Reynolds

Aldridge

2021

Global Change Biology

View full text Add to dashboard Cite

Invasive non-native species (INNS) can alter ecosystem functioning and structure, affecting native biota (e.g. density, distribution, species richness, abundance and biomass of other species) and abiotic conditions (e.g. nutrient availability, physical habitat structure, light levels and the flow of materials) (Charles & Dukes, 2007;Essl et al., 2020). Aquatic systems are particularly vulnerable to the establishment of INNS, due to a history of disturbance through intense anthropogenic exploitation of rivers, lakes and coastal areas for aquaculture,

show abstract

“…This pattern is captured in our Bimodal cluster, where the raw dominant wavelength values are significantly greener than those in any other cluster except for Aseasonal (Green). The summer-greening cluster captures eutrophic to hyper-eutrophic lakes featuring prolonged summer blooms with highly variable summer algal concentrations (Carpenter et al, 2020;Huisman et al, 2018). The characterization TOPP ET AL.…”

Section: Lake Seasonal Phenology Typesmentioning

confidence: 99%

Shifting Patterns of Summer Lake Color Phenology in Over 26,000 US Lakes

Topp

Pavelsky

Dugan

et al. 2021

Water Resources Research

View full text Add to dashboard Cite

Lakes are critical freshwater resources that are highly sensitive to stressors such as climate change (Woolway et al., 2020) and altered land use (Martinuzzi et al., 2014). Globally, these stressors are shortening the duration of ice cover (Sharma et al., 2019), increasing rates of lake carbon burial (Heathcote & Downing, 2012), increasing evaporative water loss (Wang et al., 2018), warming surface waters (O'Reilly et al., 2015), and changing mixing regimes (Maberly et al., 2020), all of which influence lake productivity and ecological state. These changes manifest themselves in the seasonality of lake processes. Just like a deciduous forest that comes to life in the spring, inland water bodies are characterized by a predictable seasonal succession of biological processes (Sommer et al., 2012). In the spring, many lakes experience a diatom bloom, followed by a "clear-water" phase where zooplankton rapidly devour the newly plentiful phytoplankton (Matsuzaki et al., 2020). Summer algal biomass is constrained by nutrient availability, with nutrient-rich eutrophic lakes experiencing near-constant summer phytoplankton blooms, and nutrient-poor oligotrophic lakes experiencing relatively clear waters (Sommer et al., 1986). The difference between these states is visible to the 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.Plain Language Summary Lakes have seasonal cycles that result in yearly peaks in algal growth. The size and timing of these peak periods depends on the amount of nutrients available and the timing of key events such as freezing and thawing. Bluer lakes with little algae typically have one peak in the spring, while greener, high algae lakes can have m...

show abstract

Stochastic dynamics of Cyanobacteria in long‐term high‐frequency observations of a eutrophic lake

Cited by 32 publications

References 26 publications

Noise-induced effects in collective dynamics and inferring local interactions from data

Noise-induced effects in collective dynamics and inferring local interactions from data

Global impacts of invasive species on the tipping points of shallow lakes

Shifting Patterns of Summer Lake Color Phenology in Over 26,000 US Lakes

Contact Info

Product

Resources

About