Ted Chapman

Genomic signals of local adaptation in UK black alder populations (Alnus glutinosa)

The paper analyzes genomic data from UK black alder populations to identify loci associated with environmental adaptation and assesses maladaptation risks under climate change.

Woodland age, ancient trees, and population size as proxies of genetic diversity

The paper examines how woodland age, ancient trees, and population size affect genetic diversity in tree populations using seed collection data and functional trait analysis.

Enhancing tree seed germination prediction with image-driven machine learning models.

This paper uses image-driven machine learning to predict tree seed germination, finding that X-ray images are better at detecting empty seeds while color images struggle with variability and differentiation.