Results 171 to 180 of about 25,940 (257)

Asymmetric transferability of trait–environment relationships between native and exotic plant species in Singaporean forests differing in land‐use history

open access: yesOikos, EarlyView.
Functional traits allow ecologists to synthesise general rules of community assembly. In joint species distribution modelling, traits are increasingly used to explain species–environment relationships, with the intention of being able to generalise predictions to other species in other systems.
Hao Ran Lai   +4 more
wiley   +1 more source

Chemical diversity and phylogenetic insights into Hawaiian ʻākia (Wikstroemia) species used in traditional fishing practices

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Traditional fishing with plant‐based piscicides is a global practice in decline, facing increasing restrictions. We investigated the chemical diversity of endemic Wikstroemia species historically used to stun or poison fish in Hawaiʻi. Using 1‐H‐NMR, principal component analysis, targeted HPLC, and target‐capture sequencing, we characterized compounds ...
Louise Winther   +10 more
wiley   +1 more source

Impact of data assimilation on Arctic sea‐ice thickness variability and its coupling with atmospheric forcing

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We document for the first time how the assimilation of CS2SMOS observations improves the model representation of Arctic sea‐ice thickness (SIT) and its variability: biases are reduced (top row), while excessive variability in the Beaufort Sea and lack of variability in the ice pack are both corrected (bottom row).
Jiping Xie   +3 more
wiley   +1 more source

High‐Dimensional Cumulative Sum Control Charts for Industrial Measurement Systems

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT High dimensional sensing in modern factories and energy assets produces thousands of correlated signals. Detecting small process shifts is challenging because many classical multivariate charts lose power or become unstable. We present two cumulative sum procedures for two sample monitoring that remain effective when the number of variables is
Osama Alhadi   +3 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

open access: yesResponsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen   +8 more
wiley   +1 more source

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