A study in Forest Ecosystems reveals that two closely related evergreen oaks (Quercus aquifolioides and Quercus spinosa) in the Himalayan-Hengduan Mountains adapt to different climates through adjustments in leaf trait integration and modularity, with the high-altitude species having flexible traits for harsh conditions and the lowland one showing tightly coordinated traits for efficiency. It also notes the findings’ value for conservation and understanding species’ responses to climate change.

LIFE SCIENCES

Daniele Canzio, PhD, University of California, San Francisco (Neuroscience)

Kaiyu Guan, University of Illinois Urbana-Champaign (Agriculture & Animal Sciences)

Philip J. Kranzusch, PhD, Dana-Farber Cancer Institute; Harvard Medical School (Microbiology)

Elizabeth Nance, PhD, University of Washington (Biomedical Engineering & Biotechnology)

Tomasz Nowakowski, PhD, University of California, San Francisco (Neuroscience)

Samuel H. Sternberg, PhD, Columbia University/Howard Hughes Medical Institute (Molecular & Cellular Biology)

CHEMICAL SCIENCES

Song Lin, PhD, Cornell University (Organic Chemistry)

Joseph Cotruvo, Jr., PhD, The Pennsylvania State University (Biochemistry & Structural Biology)

Frank Leibfarth, PhD, The University of North Carolina at Chapel Hill (Polymer Chemistry)

Ryan Lively, PhD, Georgia Institute of Technology (Chemical Engineering)

Leslie M. Schoop, PhD, Princeton University (Inorganic & Solid-State Chemistry)

Yogesh Surendranath, PhD, Massachusetts Institute of Technology (Inorganic & Solid-State Chemistry)

PHYSICAL SCIENCES & ENGINEERING

Charlie Conroy, PhD, Harvard University (Astrophysics & Cosmology)

Nathaniel Craig, PhD, University of California, Santa Barbara (Theoretical Physics)

Matthew McDowell, PhD, Georgia Institute of Technology (Materials Science & Nanotechnology)

Prateek Mittal, PhD, Princeton University (Computer Science)

Elaina J. Sutley, PhD, University of Kansas (Civil Engineering)

Zhongwen Zhan, PhD, California Institute of Technology (Physical Earth Sciences)

Climate-smart agricultural practices – like no-till treatments, cover-crop utilization and residue retention – can help promote carbon sequestration in soil and reduce greenhouse gas emissions, according to a new study that uses a combination of models – rather than just one – to provide a more realistic range of outcomes and to highlight the shortcomings of individual models.

A Texas A&M AgriLife Research study shines fresh light — literally — on forensic death investigations.

Researchers from the Texas A&M College of Agriculture and Life Sciences Department of Entomology and Department of Biochemistry and Biophysics have developed a technique that uses infrared light and machine learning to reveal the sex of blow fly larvae found on human remains. This innovative approach may help investigators estimate time of death with greater speed and accuracy.

The study, published in the Journal of Forensic Sciences, was led by Aidan Holman, a doctoral student in the lab of Dmitry Kurouski, Ph.D., associate professor in the Department of Biochemistry and Biophysics, who supervised the research.