Results 241 to 250 of about 290,262 (431)

Intraspecific variation in reproductive barriers between two closely related Arabidopsis sister species

open access: yesJournal of Evolutionary Biology, Volume 36, Issue 1, Page 121-130, January 2023., 2023
Reproductive isolation (RI) is a critical component of speciation and varies strongly in timing and strength among different sister taxa, depending on, for example the geography of speciation and divergence time. However, these factors may also produce variation in timing and strength among populations within species.
Antoine Perrier, Yvonne Willi
wiley   +1 more source

What acoustic telemetry can and cannot tell us about fish biology

open access: yesJournal of Fish Biology, EarlyView., 2023
Abstract Acoustic telemetry (AT) has become ubiquitous in aquatic monitoring and fish biology, conservation, and management. Since the early use of active ultrasonic tracking that required researchers to follow at a distance their species of interest, the field has diversified considerably, with exciting advances in both hydrophone and transmitter ...
David M. P. Jacoby, Adam T. Piper
wiley   +1 more source

The subfossil diatom flora of four geographically widely separated cores in Greenland [PDF]

open access: yes, 1990
Diatoms in cores from four Greenland lakes are reported; one lake is situated in NE Greenland, two in NW Greenland, and one in W Greenland. All cores are of postglacial age, the earliest sample radiocarbon-dated to c.
Foged, Niels
core   +1 more source

Automatic identification of streamlined subglacial bedforms using machine learning: an open‐source Python approach

open access: yesBoreas, EarlyView.
Morphometric values of streamlined subglacial bedforms provide valuable information about the relative speed, direction, and maturity of past ice streams. This paper presents a new tool that utilizes a machine learning approach to automatically identify glacially derived streamlined features.
Ellianna Abrahams   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy