Publications by authors named "M A Wiemers"

Human-induced environmental change and globalization facilitate biological invasions, which can lead to the displacement of native species by non-native ones. Analogously, biodiversity loss may occur within species when habitat modifications facilitate the expansion of a specific population's range, leading to genetic admixture with native local populations. We demonstrate such intraspecific loss in population-level diversity in the Southern Small White (Pieris mannii), an originally sedentary butterfly that recently expanded its range across Central Europe due to urbanization.

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The population structure and behaviour of univoltine butterfly species have been studied intensively. However, much less is known about bivoltine species. In particular, in-depth studies of the differences in population structure, behaviour, and ecology between these two generations are largely lacking.

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Background: (Fabricius, 1775) is a large mantid species found from the Canary Islands across North Africa, the Middle East, and Pakistan. Research on this species has been limited, especially in Iran, despite the country's potential significance for studying its biology and distribution. Adults of this species are easily recognizable by their marble-white pattern and rhomboidal leaf-like pronotum.

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Article Synopsis
  • Dissolved organic matter (DOM) is the largest reservoir of organic carbon in the ocean, mostly found in deep waters for long periods, but the reasons for its persistence are not fully understood.
  • Two key processes affecting DOM are microbial transformations in surface waters and photochemical degradation, which alter its molecular make-up.
  • Researchers used advanced mass spectrometry to analyze two experiments on fresh and deep-sea DOM, correlating findings with global DOM data to reveal how these processes impact DOM distribution and composition in various ocean regions.
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EEG microstate sequence analysis quantifies properties of ongoing brain electrical activity which is known to exhibit complex dynamics across many time scales. In this report we review recent developments in quantifying microstate sequence complexity, we classify these approaches with regard to different complexity concepts, and we evaluate excess entropy as a yet unexplored quantity in microstate research. We determined the quantities entropy rate, excess entropy, Lempel-Ziv complexity (LZC), and Hurst exponents on Potts model data, a discrete statistical mechanics model with a temperature-controlled phase transition.

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