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Early Evidence Of Natal-Habitat Preference: Juvenile Loons Feed On Natal-Like Lakes After Fledging, Brian A. Hoover, Kristin M. Brunk, Gabriella L. Jukkala, Nathan Banfield, Andrew L. Rypel, Walter H. Piper
Early Evidence Of Natal-Habitat Preference: Juvenile Loons Feed On Natal-Like Lakes After Fledging, Brian A. Hoover, Kristin M. Brunk, Gabriella L. Jukkala, Nathan Banfield, Andrew L. Rypel, Walter H. Piper
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
Many species show natal habitat preference induction (NHPI), a behavior in which young adults select habitats similar to those in which they were raised. However, we know little about how NHPI develops in natural systems. Here, we tested for NHPI in juvenile common loons (Gavia immer) that foraged on lakes in the vicinity of their natal lake after fledging. Juveniles visited lakes similar in pH to their natal lakes, and this significant effect persisted after controlling for spatial autocorrelation. On the other hand, juveniles showed no preference for foraging lakes of similar size to their natal one. When …
Functional Morphology Of Gliding Flight Ii. Morphology Follows Predictions Of Gliding Performance, Jonathan Rader, Tyson L. Hedrick, Yanyan He, Lindsay D. Waldrop
Functional Morphology Of Gliding Flight Ii. Morphology Follows Predictions Of Gliding Performance, Jonathan Rader, Tyson L. Hedrick, Yanyan He, Lindsay D. Waldrop
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
The evolution of wing morphology among birds, and its functional consequences, remains an open question, despite much attention. This is in part because the connection between form and function is difficult to test directly. To address this deficit, in prior work we used computational modeling and sensitivity analysis to interrogate the impact of altering wing aspect ratio, camber, and Reynolds number on aerodynamic performance, revealing the performance landscapes that avian evolution has explored. In the present work, we used a dataset of three-dimensionally scanned bird wings coupled with the performance landscapes to test two hypotheses regarding the evolutionary diversification of …
Plunging Floater Survival Causes Cryptic Population Decline In The Common Loon, Walter H. Piper, Jason Grear, Brian Hoover, Elaina Lomery, Linda M. Grenzer
Plunging Floater Survival Causes Cryptic Population Decline In The Common Loon, Walter H. Piper, Jason Grear, Brian Hoover, Elaina Lomery, Linda M. Grenzer
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
Populations of many vertebrates are declining and geographic ranges contracting, largely as a consequence of anthropogenic threats. Many reports of such decline, however, lack the breadth and detail to narrow down its causes. Here we describe population decline in the Common Loon (Gavia immer), a charismatic aquatic bird, based on systematic resighting and measurement of a marked population. During our 27-year investigation, age-adjusted chick mass has fallen by 11%, mortality among young and old chicks has increased by 31% and 82%, respectively, and fledging success has declined by 26%. Meanwhile, the return rate of marked nonbreeders (“floaters”) has …
Functional Morphology Of Gliding Flight I. Modeling Reveals Distinct Performance Landscapes Based On Soaring Strategies, Lindsay D. Waldrop, Yanyan He, Tyson L. Hedrick, Jonathan Rader
Functional Morphology Of Gliding Flight I. Modeling Reveals Distinct Performance Landscapes Based On Soaring Strategies, Lindsay D. Waldrop, Yanyan He, Tyson L. Hedrick, Jonathan Rader
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
The physics of flight influences the morphology of bird wings through natural selection on flight performance. The connection between wing morphology and performance is unclear due to the complex relationships between various parameters of flight. In order to better understand this connection, we present a holistic analysis of gliding flight that preserves complex relationships between parameters. We use a computational model of gliding flight, along with analysis by uncertainty quantification, to 1) create performance landscapes of gliding based on output metrics (maximum lift-to-drag ratio, minimum gliding angle, minimum sinking speed, lift coefficient at minimum sinking speed); and 2) predict what …