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Chun-Sen Ma

Researcher at Civil Aviation Authority of Singapore

Publications -  53
Citations -  1511

Chun-Sen Ma is an academic researcher from Civil Aviation Authority of Singapore. The author has contributed to research in topics: Population & Aphid. The author has an hindex of 19, co-authored 47 publications receiving 1017 citations. Previous affiliations of Chun-Sen Ma include Leibniz University of Hanover.

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Extreme temperature events alter demographic rates, relative fitness, and community structure

TL;DR: The results indicate that changes in frequency and amplitude of extreme high temperatures can alter the temporal and spatial structure of natural communities, and that these changes are driven by asymmetric effects of high temperatures on the demographic rates and fitness of species.
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Survive a Warming Climate: Insect Responses to Extreme High Temperatures.

TL;DR: The biological and ecological effects of EHTs actually experienced in the field, i.e., when coupled to fluctuating thermal regimes, are reviewed and it is argued that the mechanisms leading to positive or negative impacts of E HTs on insects can only be resolved from integrative approaches considering natural thermal regimes.
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Impact of hot events at different developmental stages of a moth: the closer to adult stage, the less reproductive output

TL;DR: It is found that heat stress at developmental stages closer to adult stage caused greater detrimental effects on reproduction than heat stress experienced at earlier life stages, and the effects of hot events on insect populations can depend critically on the timing of the event relative to an organism’s life-cycle.
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Night warming on hot days produces novel impacts on development, survival and reproduction in a small arthropod

TL;DR: The results suggest that outbreaks of some species might decrease due to the effects of night warming on population dynamics, and challenge the 'Kaufmann effect', suggesting this is inapplicable to night warming likely to be encountered in nature.
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Daily temperature extremes play an important role in predicting thermal effects

TL;DR: Different daily maximum temperatures under fluctuating thermal conditions impact life history traits in a manner that is not predictable from constant-temperature exposure, particularly when considering the expected increase in extreme temperature events under climate change.