Publications
Below is a list of available NOROCK peer reviewed and published science. If you are in search of a specific publication and cannot find it below or through a search, please contact twojtowicz@usgs.gov.
Filter Total Items: 1308
A reassessment of Chao2 estimates for population monitoring of grizzly bears in the Greater Yellowstone Ecosystem A reassessment of Chao2 estimates for population monitoring of grizzly bears in the Greater Yellowstone Ecosystem
The Yellowstone Ecosystem Subcommittee (YES) asked the Interagency Grizzly Bear Study Team (IGBST) to re-assess a technique used in annual population estimation and trend monitoring of grizzly bears in the Greater Yellowstone Ecosystem (GYE). This technique is referred to as the Chao2 approach and estimates the number of females with cubs-of-the-year (hereafter, females with cubs) and...
Authors
Frank T. van Manen, Michael R. Ebinger, Mark A. Haroldson, Daniel D. Bjornlie, Justin Clapp, Daniel J. Thompson, Kevin L. Frey, Cecily M. Costello, Curtis Hendricks, Jeremy M. Nicholson, Kerry A. Gunther, Katharine R. Wilmot, Hilary Cooley, Jennifer Fortin-Noreus, Pat Hnilicka, Daniel B. Tyers
Advancements in analytical approaches improve whitebark pine monitoring results Advancements in analytical approaches improve whitebark pine monitoring results
Long-term monitoring programs track the status and trends of species in increasingly vulnerable environments. These monitoring results provide critical information for evaluating, understanding, and managing natural resources. To accurately interpret if and how conditions may be changing for select ecological indicators, it is essential that monitoring programs adopt methods to ensure...
Authors
Erin Shanahan, Kathryn M. Irvine
Water reliability in the west -- SECURE Water Act Section 9503(C) Water reliability in the west -- SECURE Water Act Section 9503(C)
No abstract available.
Authors
Marketa McGuire, Subhrendu Gangopadhyay, Justin T. Martin, Gregory T. Pederson, Connie A. Woodhouse, Jeremy Littell
Quantifying energetic costs and defining energy landscapes experienced by grizzly bears Quantifying energetic costs and defining energy landscapes experienced by grizzly bears
Animal movements are major determinants of energy expenditure and ultimately the cost–benefit of landscape use. Thus, we sought to understand those costs and how grizzly bears (Ursus arctos) move in mountainous landscapes. We trained captive grizzly bears to walk on a horizontal treadmill and up and down 10% and 20% slopes. The cost of moving upslope increased linearly with speed and...
Authors
Anthony M. Carnahan, Frank T. van Manen, Mark A. Haroldson, Gordon Stenhouse, Charles T. Robbins
Mammal species composition and habitat associations in a commercial forest and mixed-plantation landscape Mammal species composition and habitat associations in a commercial forest and mixed-plantation landscape
Commercial forest plantations of fast-growing species have been established globally to meet increasing demands for timber, pulpwood, and other wood products. Industrial plantations may contribute to tropical forest conservation by reducing exploitation of primary and secondary natural forests. Whether such plantations can support critical elements of biodiversity, including provision of...
Authors
Wai Pak Ng, Frank T. van Manen, Stuart P. Sharp, Siew Te Wong, Shyamala Ratnayeke
Exploration of the 2016 Yellowstone River fish kill and proliferative kidney disease in wild fish populations Exploration of the 2016 Yellowstone River fish kill and proliferative kidney disease in wild fish populations
Proliferative kidney disease (PKD) is an emerging disease that recently resulted in a large mortality event of salmonids in the Yellowstone River (Montana, USA). Total PKD fish mortalities in the Yellowstone River were estimated in the tens of thousands, which resulted in a multi‐week river closure and an estimated economic loss of US$500,000. This event shocked scientists, managers, and...
Authors
Patrick Ross Hutchins, Adam Sepulveda, Hanna Hartikainen, Ken D. Staigmiller, Scott T. Opitz, Renee M. Yamamoto, Amberly Huttinger, Rick J. Cordes, Tammy Weiss, Lacey R. Hopper, Maureen K. Purcell, Beth Okamura
Sarcoptic mange: An emerging panzootic in wildlife Sarcoptic mange: An emerging panzootic in wildlife
Sarcoptic mange, a skin infestation caused by the mite Sarcoptes scabiei, is an emerging disease for some species of wildlife, potentially jeopardizing their welfare and conservation. Sarcoptes scabiei has a near-global distribution facilitated by its forms of transmission and use of a large diversity of host species (many of those with broad geographic distribution). In this review, we...
Authors
L. E. Escobar, Scott Carver, Paul C. Cross, Luca Rossi, E. S. Almberg, M. J. Yabsley, K D Niedringhaus, Peach Van Wick, Ernesto Dominguez-Villegas, F.F. Gakuya, Yue Xie, Samer Angelone, Christian Gortazar, Francisca Astorga
Enumerating white-tailed deer using unmanned aerial vehicles Enumerating white-tailed deer using unmanned aerial vehicles
The white‐tailed deer (Odocoileus virginianus) is an ecologically important species in forests of North America. Effective management of forests requires accurate, precise estimates of deer population abundance to plan and justify management actions. Spotlight surveys in combination with distance sampling are a common method of estimating deer population abundance; however, spotlight...
Authors
Todd M. Preston, Mark L. Wildhaber, Nicholas S. Green, Janice L. Albers, Geoffrey P. Debenedetto
Integrating environmental DNA results with diverse data sets to improve biosurveillance of river health Integrating environmental DNA results with diverse data sets to improve biosurveillance of river health
Autonomous, robotic environmental (e)DNA samplers now make it possible for biological observations to match the scale and quality of abiotic measurements collected by automated sensor networks. Merging these automated data streams may allow for improved insight into biotic responses to environmental change and stressors. Here, we merged eDNA data collected by robotic samplers installed...
Authors
Adam Sepulveda, Andrew B. Hoegh, Joshua A. Gage, Sara L. Caldwell Eldridge, James M. Birch, Christian Stratton, Patrick R. Hutchins, Elliott P. Barnhart
The smell of success: Reproductive success related to rub behavior in brown bears The smell of success: Reproductive success related to rub behavior in brown bears
Several species of bears are known to rub deliberately against trees and other objects, but little is known about why bears rub. Patterns in rubbing behavior of male and female brown bears (Ursus arctos) suggest that scent marking via rubbing functions to communicate among potential mates or competitors. Using DNA from bear hairs collected from rub objects in southwestern Alberta from...
Authors
Andrea T. Morehouse, Anne E. Loosen, Tabitha A. Graves, Mark S. Boyce
Genomic association with pathogen carriage in bighorn sheep (Ovis canadensis) Genomic association with pathogen carriage in bighorn sheep (Ovis canadensis)
Genetic composition can influence host susceptibility to, and transmission of, pathogens, with potential population‐level consequences. In bighorn sheep (Ovis canadensis), pneumonia epidemics caused by Mycoplasma ovipneumoniae have been associated with severe population declines and limited recovery across North America. Adult survivors either clear the infection or act as carriers that
Authors
Alynn Martin, E. Frances Cassirer, Lisette P. Waits, Raina K. Plowright, Paul C. Cross, Kimberly R. Andrews
Accommodating the role of site memory in dynamic species distribution models Accommodating the role of site memory in dynamic species distribution models
First-order dynamic occupancy models (FODOMs) are a class of state-space model in which the true state (occurrence) is observed imperfectly. An important assumption of FODOMs is that site dynamics only depend on the current state and that variations in dynamic processes are adequately captured with covariates or random effects. However, it is often difficult to understand and/or measure...
Authors
Graziella Vittoria DiRenzo, David A. W. Miller, Blake R. Hossack, Brent H. Sigafus, Paige E. Howell, Erin L. Muths, Evan H. Campbell Grant