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Unit scientists develop programs and applications to be used by State and Federal managers to conduct data analyses to inform decision making. The Colorado Unit co-authored the textbook “Bayesian Models: A Statistical Primer for Ecologists.” The Arizona Unit developed a simple, web-based tool to compare freshwater fish data collected using American Fisheries Society standard methods.

Filter Total Items: 16
Date published: January 1, 2017

Proximate Density Composition of Brown Pelican prey in the northern Gulf of Mexico (2014-2015)

The Brown Pelican (Pelecanus occidentalis) is a large-bodied seabird that nests in colonies of 10 to upwards of 5,000 pairs, on nearshore barrier islands in subtropical and tropical North American waters. It breeds between March and August, laying 2–3 eggs and raising 1–2 chicks per year. The species is facultatively migratory during nonbreeding, with some individuals...

Date published: January 1, 2017

Brown pelican foraging ecology in the northern Gulf of Mexico (2013-2015)_Colony reference

The Brown Pelican (Pelecanus occidentalis) is a large-bodied seabird that nests in colonies of 10 to upwards of 5,000 pairs, on nearshore barrier islands in subtropical and tropical North American waters. It breeds between March and August, laying 2–3 eggs and raising 1–2 chicks per year. The species is facultatively migratory during nonbreeding, with some individuals...

Date published: January 1, 2017

Provisioning rate of Brown Pelican in the northern Gulf of Mexico (2014-2015)

The Brown Pelican (Pelecanus occidentalis) is a large-bodied seabird that nests in colonies of 10 to upwards of 5,000 pairs, on nearshore barrier islands in subtropical and tropical North American waters. It breeds between March and August, laying 2–3 eggs and raising 1–2 chicks per year. The species is facultatively migratory during nonbreeding, with some individuals...

Date published: January 1, 2017

Productivity of Brown Pelican in the northern Gulf of Mexico (2014-2015)

The Brown Pelican (Pelecanus occidentalis) is a large-bodied seabird that nests in colonies of 10 to upwards of 5,000 pairs, on nearshore barrier islands in subtropical and tropical North American waters. It breeds between March and August, laying 2–3 eggs and raising 1–2 chicks per year. The species is facultatively migratory during nonbreeding, with some individuals...

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Year Published: 2019

Historical sediment mercury deposition for select South Dakota, USA, lakes: implications for watershed transport and flooding

PurposeSelect South Dakota, USA water bodies, including both natural lakes and man-made impoundments, were sampled and analyzed to assess mercury (Hg) dynamics and historical patterns of total Hg deposition.Materials and methodsSediment cores were collected from seven South Dakota lakes. Mercury concentrations and flux profiles were determined...

Squillace, Maria K.; Sieverding, Heidi L.; Betemariam, Hailemelekot H.; Urban, Noel R.; Penn, Michael R.; DeSutter, Thomas M.; Chipps, Steven R.; Stone, James J.

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Year Published: 2019

Are waterfowl food resources limited during spring migration? A bioenergetic assessment of playas in Nebraska's rainwater basin

Accurate bioenergetic carrying capacity estimates of wetlands on public and private lands, as well as those managed for crop production are important for managing waterfowl populations and habitats. Given the importance of wetlands in the Rainwater Basin region of Nebraska for spring migrating waterfowl, we quantified and compared seed and...

Schepker, Travis J.; LaGrange, Ted; Webb, Elisabeth B.

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Year Published: 2019

Influences of spawning timing, water temperature, and climatic warming on early life history phenology in western Alaska sockeye salmon

We applied an empirical model to predict hatching and emergence timing for 25 western Alaska sockeye salmon (Oncorhynchus nerka) populations in four lake-nursery systems to explore current patterns and potential responses of early life history phenology to warming water temperatures. Given experienced temperature regimes during development, we...

Sparks, Morgan M.; Falke, Jeffrey A.; Quinn, Thomas P.; Adkison, Milo D.; Schindler, Daniel E.; Bartz, Krista K.; Young, Daniel B.; Westley, Peter A. H.

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Year Published: 2019

Using spatially‐explicit capture–recapture models to explain variation in seasonal density patterns of sympatric ursids

Understanding how environmental factors interact to determine the abundance and distribution of animals is a primary goal of ecology, and fundamental to the conservation of wildlife populations. Studies of these relationships, however, often assume static environmental conditions, and rarely consider effects of competition with ecologically...

Stetz, Jeffrey B.; Mitchell, Michael S.; Kendall, Katherine C.

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Year Published: 2019

Spatial autoregressive models for statistical inference from ecological data

Ecological data often exhibit spatial pattern, which can be modeled as autocorrelation. Conditional autoregressive (CAR) and simultaneous autoregressive (SAR) models are network‐based models (also known as graphical models) specifically designed to model spatially autocorrelated data based on neighborhood relationships. We identify and discuss six...

Ver Hoef, Jay M.; Peterson, Erin E.; Hooten, Mevin B.; Hanks, Ephraim M.; Fortin, Marie-Josée

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Year Published: 2019

Avian predation on juvenile Salmonids: Spatial and temporal analysis based on acoustic and passive integrated transponder tags

We evaluated the impact of predation on juvenile steelhead Oncorhynchus mykiss and yearling and subyearling Chinook Salmon O. tshawytscha by piscivorous waterbirds from 11 different breeding colonies in the Columbia River basin during 2012 and 2014. Fish were tagged with both acoustic tags and PIT tags and were tracked via a...

Evans, Allen F.; Payton, Quinn; Turecek, Aaron; Cramer, Bradley D.; Collis, Ken; Roby, Daniel D.; Loschl, Peter J.; Sullivan, Leah; Skalski; Weiland, Mark; Dotson, Curtis

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Year Published: 2018

Chapter 2. The North American carbon budget: Past, present, and future

This chapter nicely summarizes and synthesizes the latest scientific information on the North American carbon budget by incorporating terrestrial, anthropogenic, aquatic, and coastal margin CO2 and CH4dynamics. Starting with a historical context, the chapter summarizes current understanding of the magnitudes and trends of carbon stocks and...

McGuire, A. David; Hayes, Daniel J.; Vargas, Rodrigo; Alin, Simone R.; Conant, Richard T.; Hutrya, Lucy R.; Jacobson, Andrew R.; kurz, Werner A.; Poulter, Benjamine; Woodall, Christopher W.; Liu, Shuguang

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Year Published: 2018

Regenerating clearcuts combined with postharvest forestry treatments promote habitat for breeding and post-breeding spruce-fir avian assemblages in the Atlantic Northern Forest

The quantity of spruce-fir forest and some conifer-associated breeding bird abundances in the Atlantic Northern Forest have declined in recent decades emphasizing the need to better understand avian responses to forest management and to identify options that proactively conserve habitat for birds during the breeding and post-breeding period. We...

Rolek, Brian W.; Harrison, Daniel J.; Loftin, Cynthia S.; Wood, Petra B.

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Year Published: 2018

Submerged aquatic vegetation mapping in coastal Louisiana through development of a spatial likelihood occurrence (SLOO) model

Determining the spatial distribution of coastal foundation species is essential to accurately determine restoration goals, predict the ecological effects of climate change, and develop habitat management strategies. Mapping the distribution of submerged aquatic vegetation (SAV) species assemblages, which provide important habitat resource and...

DeMarco, Kristin; Couvillion, Brady; Brown, Stuart; La Peyre, Megan
DeMarco, K., Couvillion, B., Brown, S., and LaPeyre, M., 2018, Submerged aquatic vegetation mapping in coastal Louisiana through development of a spatial likelihood occurrence (SLOO) model: Aquatic Botany, v. 151, p. 87-97, https://doi.org/10.1016/j.aquabot.2018.08.007.

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Year Published: 2018

Artelle et al. (2018) miss the science underlying North American wildlife management

Artelle et al. (2018) conclude that “hallmarks of science” are largely missing from North American wildlife management based on a desk review of selected hunting management plans and related documents found through Internet searches and email requests to state and provincial wildlife agencies. We highlight three fundamental problems that...

Mawdsley, Jonathan R.; Organ, John F.; Decker, Daniel J.; Forstchen, Ann; Regan, Ronald J.; Riley, Shawn J.; Boyce, Mark S.; Mcdonald, John E.; Dwyer, Chris; Mahoney, Shane P.
J. R. Mawdsley, J. F. Organ, D. J. Decker, A. B. Forstchen, R. J. Regan, S. J. Riley, M. S. Boyce, J. E. McDonald Jr., C. Dwyer, S. P. Mahoney, Artelle et al. (2018) miss the science underlying North American wildlife management. Sci. Adv. 4, eaat8281 (2018).

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Year Published: 2018

Stock structure, dynamics, demographics, and movements of walleyes spawning in four tributaries to Green Bay

To test assumptions related to the current conceptual model for walleye Sander vitreusmanagement in Green Bay, we evaluated whether: 1) spawning aggregations in the Fox, Menominee, Oconto, and Peshtigo rivers represent genetically distinct stocks; 2) population dynamics and demographics vary among walleye spawning at these...

Dembkowski, Daniel J.; Isermann, Daniel A.; Hogler, Steven R.; Larson, Wesley; Turnquist, Keith N.

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Year Published: 2018

Evaluation of anal fin spines, otoliths, and scales for estimating age and back-calculated lengths of yellow perch in southern Green Bay

Southern Green Bay supports important fisheries for yellow perch Perca flavescens and valid estimates of age structure and growth are critical to effective management. Anal fin spines and scales are used by the Wisconsin Department of Natural Resources for age estimation, but these structures may...

Isermann, Daniel A.; Breeggemann, Jason J.; Paroli, Tammie J.

The USGS provides 2-5 PhD level research scientists that sit on the graduate faculty at their host university; the host university provides office and lab space and administrative support; and the state natural resource agency(s) provide base operating funds to their unit. In addition the state and university cooperators have direct involvement in the staffing of and research conducted by the Unit

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Filter Total Items: 14
Date published: September 29, 2014

Wind Turbine or Tree? Certain Bats Might Not Know

Certain bats may be approaching wind turbines after mistaking them for trees, according to a study published in the Proceedings of the National Academy of Sciences.

Date published: February 12, 2014

Identifying Bats By Sound

Recording bats' echolocation "calls" is the most efficient and least intrusive way of identifying different species of bats in a given area, providing insight into some populations that have been decimated by white-nose syndrome.