Publications by authors named "N Kunert"

As climate change thrives, and the frequency of intense droughts is affecting many forested regions, a mechanistic understanding of the factors conferring drought tolerance in trees is increasingly important. However, studies linking the observed growth reduction to mechanistic traits are still rare. We compared the median growth anomalies of 16 native tree species, gathered across a network of study plots in Bavaria, with the mean species-specific turgor loss point (π) measured at five locations in Central Europe π explained 37% of the growth anomalies observed in response to the intense droughts between 2018 and 2020 compared to the pre-drought period between 2006 and 2017 across sites.

View Article and Find Full Text PDF
Article Synopsis
  • The detection of gravitational-wave signal GW170817 and its associated phenomena (kilonova and gamma-ray burst) marked a significant advance in astrophysics, indicating the need for strong theoretical models to interpret these diverse signals.
  • The NMMA framework was developed to integrate nuclear-physics data and observational evidence, helping to analyze the behaviors of dense matter in neutron stars.
  • This paper presents an extension of the NMMA code to simultaneously analyze the signals from GW170817, the kilonova, and the gamma-ray burst, allowing for the estimation of a neutron star's radius.
View Article and Find Full Text PDF
Article Synopsis
  • Scientists studied how tropical plants react to dry conditions caused by climate change by looking at 1,117 different species.
  • They found that certain traits in plants, like how they manage water, change based on how much moisture is in their environment.
  • Evergreen plants need wet places to thrive, while some other plants can handle both dry and wet areas, showing that the environment plays a big role in how these plants survive.
View Article and Find Full Text PDF

In hair analysis, identification of 11-nor-9-carboxy-∆ -tetrahydrocannabinol (THC-COOH), one of the major endogenously formed metabolites of the psychoactive cannabinoid tetrahydrocannabinol (THC), is considered unambiguous proof of cannabis consumption. Due to the complex hair matrix and low target concentrations of THC-COOH in hair, this kind of investigation represents a great analytical challenge. The aim of this work was to establish a fast, simple, and reliable LC-MS routine method for sensitive detection of THC-COOH in hair samples.

View Article and Find Full Text PDF