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335 results for “Beaver”
Environmental, Taxonomic, and Stable Isotope Data from Aquatic Insects sampled from Beaver-Engineered Headwater Streams (Adirondack Park, NY; 2024).
This data package contains environmental and biological data from a field study examining aquatic insect assemblage composition and basal resource use in beaver-engineered headwater streams in Adirondack Park, New York. Data was collected from six streams across two watersheds; the Oswegatchie River Watershed and Upper Hudson River Watershed. Three streams were sampled within the Oswegatchie River Watershed; East Creek, Sucker Brook, and Chair Rock Creek located near the Cranberry Lake Biological Station in St. Lawrence County. Three streams were sampled from the Upper Hudson River Watershed; Big Sucker Brook, Little Sucker Brook, and Panther Brook located near SUNY ESF’s Newcomb Campus in Essex County. Site conditions were characterized using densiometer measurements of canopy cover, visual assessments of substrate composition, and river discharge measurements collected with an OTT MF Pro flow meter. Aquatic insect assemblages were sampled using multihabitat active sampling and Hester–Dendy and leaf-bag passive samplers, with specimens identified to genus and assigned to functional feeding groups. Carbon and nitrogen stable isotopes were analyzed for a subset of insect taxa and three basal resource pools; coarse particulate organic matter (CPOM), fine particulate organic matter (FPOM), and periphytic algae. The Bayesian mixing model MixSIAR was used to estimate the proportional contribution of these primary sources to aquatic insect biomass. All data was collected between June and August 2024.
Beaver Dams in Madison and Oneida Counties, New York State, 1994-2022
This point dataset comprises georeferenced (NAD 1983 Zone 18N) digital markers of beaver dam locations in the Counties of Madison and Oneida in New York State in the years 1994, 2003, 2013, and 2022, as determined manually and retroactively through observation of true-color (rgb) composite aerial imagery from those years. The New York State Orthoimagery Database supplied the relevant imagery, and the years were chosen according to the availability of imagery for both counties at the time of data collection. The approximately 40-inch resolution photographs from 1994 were taken as part of the United States Geological Survey’s National Aerial Photography Program, whereas the 6- to 12-inch resolution images from the subsequent years were taken as part of New York’s GIS Coordinate Program. Each point represents a unique beaver dam determined to be present in one or more of the aforementioned years from such land feature characteristics as curvilinearity, perpendicular orientation to streams, proximity to apparent beaver lodges, and other distinguishing contextual clues. The attribute fields to the point data include the smallest unit of watershed in which the dam in question lies or once lay, the approximate location of the dam in terms of a named geographic feature, and one field for each year with a code indicating whether the dam was found to be present that year (1-yes, 0-no). This inventory has been used thus far in an investigation of the changes in dam abundance and distribution over the past three decades.
Urban Riparian Wetland Hydrology Dataset_Stormwater Capture in Beaver-mediated Wetlands along Walnut Creek, Raleigh, North Carolina, USA
<p>This is the initial release of a <strong>hydrology</strong> dataset pertaining to the <strong>riparian floodplain wetlands</strong> alongside Walnut Creek in Raleigh, North Carolina USA. Walnut Creek is the main drainage channel in an <strong>urbanized watershed</strong> (HUC-12: 030202011101) in central North Carolina. There are several riparian floodplain wetlands along the creek which are largely supplied by <strong>urban stormwater</strong> runoff including directed <strong>storm sewer flows</strong> and regular <strong>overbank flooding</strong> events. In many of these wetlands local water retention and residence time in the surface ponds is mediated by the damming activity of <strong>North American beavers (<em>Castor canadensis</em>)</strong>. This dataset contains data specific to the hydrology of Walnut Creek, and the surface ponds and groundwater at the <strong>Walnut Creek Wetland Park</strong> which is actively influenced by resident beavers. The period of this dataset is from <strong>January 22, 2023 through January 30, 2024</strong>. </p> <p>The core of the dataset is water stage measured in five surface pond sites and six groundwater monitoring wells within Walnut Creek Wetland Park. This data was collected using synchronized Solinst Levelogger pressure transducer sensors at 15-minute intervals, compensated with corrections for barometric pressure measured locally using a Solinst Barologger sensor. In addition to this data collected by the authors, this dataset also includes publicly available stream stage and precipitation data obtained from the <strong>US Geological Survey,</strong> and weather and soils data from the <strong>North Carolina State Climate Office</strong>. In total, this dataset aims to provide a comprehensive view of surface and subsurface hydrology in the studied wetlands as it connects with precipitation events, antecedent moisture conditions, directed stormwater flows and overbank flood events. </p> <p>This hydrology dataset is intended to accompany the <u>separate</u> <strong>water quality dataset</strong> published on Zenodo at URL: <a href="https://doi.org/10.5281/zenodo.10888463">https://doi.org/10.5281/zenodo.10888463</a>. Together, these datasets are meant to support an improved understanding of the water availability and water quality found in connection with beaver-mediated stormwater capture in an urbanized watershed in the North Carolina Piedmont.</p> <p>This dataset resulted from research supported with a Graduate Student Research Grant awarded by the <strong>North Carolina Water Resources Research Institute (WRRI)</strong>, under Project Number 23-10-W: "Stormwater Diversion, Storage, and Treatment by Beaver-enhanced Floodplain Wetlands in Piedmont Urban Watersheds". </p> <p>This material is based upon work supported by the <strong>National Science Foundation (NSF)</strong> Graduate Research Fellowship Program (GRFP) under Grant No. (DGE 2137100). Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors(s) and do not necessarily reflect the views of the National Science Foundation.</p> <p>Special thanks to <strong>Raleigh Parks</strong> and <strong>Walnut Creek Wetland Park</strong> for making this work possible.</p>
Paleomagnetic data for Beaver, Kent & Dalziel in Tectonics (2022), "Paleomagnetic Constraints From South Georgia On The Tectonic Reconstruction Of The Early Cretaceous Rocas Verdes Marginal Basin System Of Southernmost South America"
<p>Text data files of paleomagnetic data from Tables in: Beaver, D. G., D. V. Kent, and I. W. D. Dalziel (2022), Paleomagnetic Constraints From South Georgia On The Tectonic Reconstruction Of The Early Cretaceous Rocas Verdes Marginal Basin System Of Southernmost South America: Tectonics, in press.</p> <p><strong>Table 1.</strong> Site Mean Stable Paleomagnetic Directions from South Georgia.</p> <p><strong>Table 2.</strong> Site Mean Stable Directions for Differential Tilt Test of South Georgia Sites With Structural Control.</p> <p><strong>Table 3.</strong> Tectonic Rotations Inferred from Available Paleomagnetic Results from Rocas Verde Rock Units of Late Cretaceous Age in Fuegian Andes and South Georgia.<br> </p>
Predicted Beaver Dam Building Capacity in the Minneapolis-St. Paul Metro Area
The Beaver Restoration Assessment Tool (BRAT) (MacFarlane et al., 2015) is a predictive model that integrates hydrology, topography, vegetation, and land use data to predict existing and historical beaver dam building capacity within a watershed. The model was run on the HUC8 Mississippi River Twin Cities Watershed (07010206) in March 2025. The output displayed is a shapefile of the Conservation Restoration Model, which includes existing and historical dam building capacity as well as restoration opportunities.
Carbon Storage in Beaver Meadows of the Sierra Nevada, USA
<p><span>The purpose of this study was to examine the effects of active beaver dams on sequestered carbon in subalpine valleys of the Sierra Nevada across a temporal scale. Specifically, carbon stored in floodplain sediments and above and below ground vegetation was measured in 8 beaver meadows to quantify carbon storage.</span></p>
Beaver territory locations in Flanders 2014-2022
<p>Data compiled by the Agency For Nature and Forest (ANB) on beaver territories in Flanders (Belgium) as reported by various persons and organisations. A first version of this dataset was compiled over the years 2014-2019. This second version also includes the situation up to 2022. The dataset contains geographical coordinates (WGS84) for each territory, the year in which the territory was first reported and the years thereafter in which this territory was occupied.</p>
Urban Riparian Wetland Water Quality Dataset_Stormwater Capture in Beaver-mediated Wetlands along Walnut Creek, Raleigh, North Carolina, USA
<p><span>This is the initial release of a </span><strong><span>water quality</span></strong><span> dataset pertaining to the <strong>riparian floodplain wetlands</strong> alongside Walnut Creek in Raleigh, North Carolina USA. Walnut Creek is the main drainage channel in an <strong>urbanized watershed</strong> (HUC-12: 030202011101) in central North Carolina. There are several riparian floodplain wetlands along the creek which are largely supplied by <strong>urban stormwater</strong> runoff including directed <strong>storm sewer flows</strong> and regular <strong>overbank flooding</strong> events. In many of these wetlands local water retention and residence time in the surface ponds is mediated by the damming activity of <strong>North American beavers (</strong><em><strong>Castor canadensis</strong></em><strong>)</strong>. This dataset contains data specific to the water quality values of <strong>Walnut Creek</strong>, its tributary <strong>Little Rock Creek</strong>, and the surface ponds and groundwater at the <strong>Walnut Creek Wetland Park</strong> which is actively influenced by resident beavers. The period of this dataset is from <strong>January </strong></span><strong><span>5</span><span>, 2023 through </span></strong><strong><span>October 28</span><span>, 2023</span></strong><span>. </span></p> <p><span>This dataset includes a variety of common <strong>water quality parameters</strong> measured in situ by use of a <strong>YSI Pro water quality meter</strong>, as well as <strong>dissolved nutrient values</strong> determined by <strong>laboratory analysis</strong> of collected water samples.<span> </span>YSI data was collected on a <strong>weekly</strong> basis and water samples were collected for laboratory analysis on a <strong>monthly</strong> basis. Additional measurements and collection took place during <strong>six large rainfall events</strong> to allow comparison between baseflow and stormflow conditions across the site.<span> </span>This dataset aims to provide a comprehensive look at the water quality of Walnut Creek in comparison with the surface ponds and groundwater in the Walnut Creek Wetland Park, which are all ultimately sourced from <strong>urban stormwater runoff</strong>. </span></p> <p><span>This water quality dataset is intended to accompany the <u>separate</u> <strong>hydrology dataset</strong> published on Zenodo at URL: <a href="https://doi.org/10.5281/zenodo.10709630">https://doi.org/10.5281/zenodo.10709630</a>. Together, these datasets are meant to support an improved understanding of the water availability and water quality found in connection with beaver-mediated stormwater capture in an urbanized watershed in the North Carolina Piedmont.</span></p> <p><span> </span><span>This dataset resulted from research supported with a Graduate Student Research Grant awarded by the <strong>North Carolina Water Resources Research Institute (WRRI)</strong>, under Project Number 23-10-W: "Stormwater Diversion, Storage, and Treatment by Beaver-enhanced Floodplain Wetlands in Piedmont Urban Watersheds". </span></p> <p><span>This material is based upon work supported by the <strong>National Science Foundation (NSF)</strong> Graduate Research Fellowship Program (GRFP) under Grant No. (DGE 2137100). Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors(s) and do not necessarily reflect the views of the National Science Foundation.</span></p> <p><span>Special thanks to <strong>Raleigh Parks</strong> and <strong>Walnut Creek Wetland Park</strong> for making this work possible.</span></p> <p><span>Laboratory analysis support for evaluation of dissolved nutrients (nitrate+nitrite, TKN, total phosphorus, and total organic carbon) was provided by the <strong>NC State Environmental and Agricultural Testing Services (EATS)</strong> laboratory, Department of Crop and Soil Sciences.</span></p> <p><span> </span><span>Additional laboratory analysis support for evaluation of dissolved nutrients (TKN and total phosphorus) was provided by the <strong>NC State Environmental Analysis Laboratory (EAL)</strong>, Department of Biological and Agricultural Engineering (BAE).</span></p> <p><span> </span><span>Usage of and technical support for the YSI Pro water quality meter used in this study was made possible by the <strong>Osburn Lab</strong>, Department of Marine, Earth and Atmospheric Sciences (MEAS), NC State University.</span></p>
Fig. 3 in First case of Trichinella spiralis infection in beavers (Castor fiber) in Poland and Europe
Fig. 3. The Neighbor-Joining tree of Trichinella species inferred from 5S rDNA inter-gene spacer region sequences. Phylogeny Test - Bootstrap method, No. of Bootstrap Replications - 10000 Jukes Cantor model.
Fig. 2 in First case of Trichinella spiralis infection in beavers (Castor fiber) in Poland and Europe
Fig. 2. Electrophoretic profiles of Trichinella spp. larva amplicons after multiplex PCR amplification. Lanes 1 and 8 marker (Generuler 100 bp DNA), 2–6 (T. britovi), 7 - T. spiralis from beaver (sample 754), lanes 9–12 controls (9 - T. papaue, 10 - T. pseudospiralis, 11 - T. spiralis, 12 - negative control).
Fig. 1 in First case of Trichinella spiralis infection in beavers (Castor fiber) in Poland and Europe
Fig. 1. Larva digested from beaver muscle tissue morphologically identified as Trichinella spp. (magnification 120x), Trichotele VKC 1310.
FIGURE 15 in Comparison of Miocene to early Pleistocene-aged Castor californicus (Rodentia: Castoridae) to extant beavers and implications for the evolution of Castor in North America
FIGURE 15. Comparison of the skull and dentary of extant Castor canadensis (MVZ 80744) and C. fiber (USNM 248154) to fossil C. californicus (USNM 26154). Note that the North American species C. canadensis and C. californicus share shorter nasals, wider occiput, and more posteriorly positioned orbits than Eurasian C. fiber; both also display more anterior placement of the anterior margin of the pterygoid insertion and greater spread of the posterior processes (coronoid, condylar, angular) than C. fiber.
FIGURE 14 in Comparison of Miocene to early Pleistocene-aged Castor californicus (Rodentia: Castoridae) to extant beavers and implications for the evolution of Castor in North America
FIGURE 14. Variation line graph calculated by coefficients of variation with sample size correction for Castor canadensis and C. californicus postcranial measurements. Note that C. fiber is excluded due to limited sampling. Castor canadensis and C. californicus both contains high levels of variation in postcranial elements. See Table 17 for descriptive statistics, coefficients of variation, and ANOVA results.
FIGURE 13 in Comparison of Miocene to early Pleistocene-aged Castor californicus (Rodentia: Castoridae) to extant beavers and implications for the evolution of Castor in North America
FIGURE 13. Boxplots for (A) articular width of humeral distal end (HDAW), (B) femoral epicondylar breadth (FeEB), (C) anteroposterior diameter of tibia distal epiphysis (TDEAPD), (D) anteroposterior diameter of third metatarsal (MT3APD), and (E) mediolateral diameter of fourth metatarsal (MT4MLD) of Castor canadensis and C. californicus, which exhibit differences in mean values and no overlap in range values. See Table 17 for descriptive statistics, coefficients of variation, and ANOVA results.
FIGURE 12 in Comparison of Miocene to early Pleistocene-aged Castor californicus (Rodentia: Castoridae) to extant beavers and implications for the evolution of Castor in North America
FIGURE 12. Boxplots for (A) anteroposterior diameter of femur (FeAPD) and (B) mediolateral diameter of tibia distal epiphysis (TDEMLD) of Castor canadensis and C. californicus, which exhibit differences in mean values and minimal overlap in range values. See Table 17 for descriptive statistics, coefficients of variation, and ANOVA results.
FIGURE 9 in Comparison of Miocene to early Pleistocene-aged Castor californicus (Rodentia: Castoridae) to extant beavers and implications for the evolution of Castor in North America
FIGURE 9. Canonical variate plot for analysis of dentary data with Castor californicus treated as a distinct taxon a priori. Axes depict shape variation, associated with landmark deformations, indicated by thin plate splines deformation grids.
FIGURE 11 in Comparison of Miocene to early Pleistocene-aged Castor californicus (Rodentia: Castoridae) to extant beavers and implications for the evolution of Castor in North America
FIGURE 11. Dendrogram of dentary hierarchical cluster analysis. Specimens used in analysis are labeled by species and catalog number.
FIGURE 8 in Comparison of Miocene to early Pleistocene-aged Castor californicus (Rodentia: Castoridae) to extant beavers and implications for the evolution of Castor in North America
FIGURE 8. Histogram of canonical variate scores for analysis of dentary data with Castor californicus treated as an unknown. The x axis depicts shape variation, associated with landmark deformations, indicated by thin plate splines deformation grids. The y axis indicates the frequency of canonical variate scores among studied taxa.
FIGURE 7 in Comparison of Miocene to early Pleistocene-aged Castor californicus (Rodentia: Castoridae) to extant beavers and implications for the evolution of Castor in North America
FIGURE 7. Canonical variate plot for analysis of cranial data with Castor californicus treated as a distinct taxon a priori. Axes depict shape variation, associated with landmark deformations, indicated by thin plate splines deformation grids.
FIGURE 1 in Comparison of Miocene to early Pleistocene-aged Castor californicus (Rodentia: Castoridae) to extant beavers and implications for the evolution of Castor in North America
FIGURE 1. Late Miocene through Late Pleistocene fossil localities of Castor across North America. Locality points obtained from NOW database of Fossil Mammals.
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