Spatiotemporal population dynamics of the banana rind thrips, Elixothrips brevisetis (Bagnall) (Thysanoptera: Thripidae)

2014 ◽  
Vol 139 (7) ◽  
pp. 510-518 ◽  
Author(s):  
D. Carval ◽  
V. Cotté ◽  
M. Notaro ◽  
P. Ryckewaert ◽  
P. Tixier
Keyword(s):  
Population Dynamics ◽  
Spatiotemporal Population Dynamics

scholarly journals Population dynamics modify urban residents’ exposure to extreme temperatures across the United States

2019 ◽  
Vol 5 (12) ◽  
pp. eaay3452 ◽  
Author(s):  
Jiachuan Yang ◽  
Leiqiu Hu ◽  
Chenghao Wang
Keyword(s):  
Population Dynamics ◽  
Climate Adaptation ◽  
Heat Waves ◽  
Global Climate ◽  
The United States ◽  
Urban Residents ◽  
Extreme Temperatures ◽  
Mortality And Morbidity ◽  
Spatiotemporal Population Dynamics

Exposure to extreme temperatures is one primary cause of weather-related human mortality and morbidity. Global climate change raises the concern of public health under future extreme events, yet spatiotemporal population dynamics have been long overlooked in health risk assessments. Here, we show that the diurnal intra-urban movement alters residents’ exposure to extreme temperatures during cold and heat waves. To do so, we incorporate weather simulations with commute-adjusted population profiles over 16 major U.S. metropolitan areas. Urban residents’ exposure to heat waves is intensified by 1.9° ± 0.7°C (mean ± SD among cities), and their exposure to cold waves is attenuated by 0.6° ± 0.8°C. The higher than expected exposure to heat waves significantly correlates with the spatial temperature variability and requires serious attention. The essential role of population dynamics should be emphasized in temperature-related climate adaptation strategies for effective and successful interventions.

Refined assessment of urban residents' exposure to extreme temperatures across the United States

2020 ◽  
Author(s):  
Jiachuan Yang ◽  
Leiqiu Hu
Keyword(s):  
United States ◽  
Population Dynamics ◽  
Heat Waves ◽  
The United States ◽  
Extreme Weather ◽  
Extreme Heat ◽  
Cold Wave ◽  
Urban Residents ◽  
Extreme Temperatures ◽  
Spatiotemporal Population Dynamics

<p>Extreme temperatures during heat and cold waves are severe health hazards for humans. Residents’ exposure controls the susceptibility of the urban population to these hazards, yet the spatiotemporal population dynamics has been long overlooked in assessing the risk. In this study, we conducted comparative analysis over 16 major urban habitats under three massive heat waves and one cold wave across the contiguous United States. Incorporating WRF weather simulations with commute-adjusted population profiles, we found that the interaction between population dynamics and urban heat islands makes residents exposed to higher temperatures under extreme weather. After accounting for diurnal population movement, urban residents’ exposure to heat waves is intensified by 2.0 ± 0.8 <sup>o</sup>C (mean ± standard deviation among cities), and their exposure to cold wave is attenuated by 0.4 ± 0.8 <sup>o</sup>C. The aggravated exposure to extreme heat is more than half of the heat wave hazard (temperature anomaly 3.7 ± 1.5 <sup>o</sup>C). The underestimated exposure to extreme heat needs to be taken into serious consideration, especially in nighttime given the evident trend of observed nocturnal warming. Results suggest that the major driver for modified exposure to heat waves is the spatial temperature variability, i.e., residents’ exposure is more likely to be underestimated in a spread-out city. The current release of warnings for hazardous extreme weather is usually at the weather forecast zone level, and our analysis demonstrates that such service can be improved through considering spatiotemporal population dynamics. The essential role of population dynamics should also be emphasized in temperature-related climate adaptation strategies for effective and successful interventions.</p>

Noise can prevent onset of chaos in spatiotemporal population dynamics

2010 ◽  
Vol 78 (2) ◽  
pp. 253-264 ◽  
Author(s):  
S. Petrovskii ◽  
A. Morozov ◽  
H. Malchow ◽  
M. Sieber
Keyword(s):  
Population Dynamics ◽  
Onset Of Chaos ◽  
Spatiotemporal Population Dynamics

scholarly journals Emergent spatiotemporal population dynamics with cell-length control of synthetic microbial consortia

2021 ◽  
Vol 17 (9) ◽  
pp. e1009381
Author(s):  
James J. Winkle ◽  
Bhargav R. Karamched ◽  
Matthew R. Bennett ◽  
William Ott ◽  
Krešimir Josić
Keyword(s):  
Population Dynamics ◽  
Population Control ◽  
Dynamic Control ◽  
Cell Length ◽  
Microbial Consortia ◽  
Cell Alignment ◽  
Rotational Parameter ◽  
Single Strain ◽  
Bacterial Consortia ◽  
Spatiotemporal Population Dynamics

The increased complexity of synthetic microbial biocircuits highlights the need for distributed cell functionality due to concomitant increases in metabolic and regulatory burdens imposed on single-strain topologies. Distributed systems, however, introduce additional challenges since consortium composition and spatiotemporal dynamics of constituent strains must be robustly controlled to achieve desired circuit behaviors. Here, we address these challenges with a modeling-based investigation of emergent spatiotemporal population dynamics using cell-length control in monolayer, two-strain bacterial consortia. We demonstrate that with dynamic control of a strain’s division length, nematic cell alignment in close-packed monolayers can be destabilized. We find that this destabilization confers an emergent, competitive advantage to smaller-length strains—but by mechanisms that differ depending on the spatial patterns of the population. We used complementary modeling approaches to elucidate underlying mechanisms: an agent-based model to simulate detailed mechanical and signaling interactions between the competing strains, and a reductive, stochastic lattice model to represent cell-cell interactions with a single rotational parameter. Our modeling suggests that spatial strain-fraction oscillations can be generated when cell-length control is coupled to quorum-sensing signaling in negative feedback topologies. Our research employs novel methods of population control and points the way to programming strain fraction dynamics in consortial synthetic biology.

Temporal variation in the synchrony of weather and its consequences for spatiotemporal population dynamics

Ecology ◽  
2015 ◽  
Vol 96 (11) ◽  
pp. 2935-2946 ◽  
Author(s):  
Andrew J. Allstadt ◽  
Andrew M. Liebhold ◽  
Derek M. Johnson ◽  
Robert E. Davis ◽  
Kyle J. Haynes
Keyword(s):  
Population Dynamics ◽  
Temporal Variation ◽  
Spatiotemporal Population Dynamics

scholarly journals Emergent spatiotemporal population dynamics with cell-length control of synthetic microbial consortia

2021 ◽  
Author(s):  
James J Winkle ◽  
Bhargav R Karamched ◽  
Matthew R Bennett ◽  
William Ott ◽  
Kresimir Josić
Keyword(s):  
Population Dynamics ◽  
Population Control ◽  
Dynamic Control ◽  
Cell Length ◽  
Microbial Consortia ◽  
Cell Alignment ◽  
Rotational Parameter ◽  
Single Strain ◽  
Bacterial Consortia ◽  
Spatiotemporal Population Dynamics

Increased complexity of engineered microbial biocircuits highlights the need for distributed cell functionality due to concomitant increases of metabolic and regulatory burdens imposed on single-strain topologies. Distributed systems, however, introduce additional challenges since consortium composition and spatiotemporal dynamics of constituent strains must be robustly controlled to achieve desired circuit behaviors. Here, we address these challenges with a modeling-based investigation of emergent spatiotemporal population dynamics that result from cell-length control of monolayer, two-strain bacterial consortia. We demonstrate that with dynamic control of a strain's division length, nematic cell alignment in close-packed monolayers can be destabilized. We found this destabilization conferred an emergent, competitive advantage on smaller-length strains---but by mechanisms that differed depending on the spatial patterns of the population. We used complementary modeling approaches to elucidate underlying mechanisms: an agent-based model to simulate detailed mechanical and signaling interactions between the competing strains and a reductive, stochastic lattice model to represent cell-cell interactions with a single rotational parameter. Our modeling suggests that spatial strain-fraction oscillations can be generated when cell-length control is coupled to quorum-sensing signaling in negative feedback topologies. Our research employs novel methods of population control and points the way to programming strain fraction dynamics in consortial synthetic biology.

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