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63 results for “Chesapeake Bay”
Coastal Forest Aboveground Biomass Data at six sites in the Chesapeake Bay and Delaware Bay region, 2021
This dataset contains aboveground biomass measurement and vegetation inventory of 17 coastal forest sites collected during June 1-8 of 2021 across Virginia (n = 6 in Goodwin Island and Phillips Creek), Maryland (n = 4, Monie Bay and Moneystump Swamp) and Delaware (n = 7, Milford Neck and Donas landing). The aboveground biomass was computed with allometric equations and all study sites were located within a narrow elevation range of 0-5m above sea level.
Vegetation and physical characteristics of Chesapeake Bay retreating Coastal Forests 2022-2024
This data set contains biomass and physical data across an upland forest to marsh transition. These measurements are taken at 5 sites around the Chesapeake and Delaware Bays. Data is collected at up to 5 ectones across the upland to marsh (High Marsh, Transition Zone, Low, Mid and High Forest). These ecotone definitions follow Smith et al. 2019, https://doi.org/10.6073/pasta/4524c22708628eb7f06d174edae89ff2).
Infauna from the York River Estuary, Chesapeake Bay, Spring Fall 2022
Sediment macroinfauna were sampled at 7 sites in the York River Estuary in Spring and Fall, 2022, as part of a project relating infaunal community structure to physical properties of sediments.
Spatial Variability in Marsh Vulnerability and Coastal Forest Loss in Chesapeake Bay
Sea level rise (SLR) and saltwater intrusion are driving shifts in coastal ecosystems that must migrate to survive. Marsh migration into adjacent uplands is a primary mechanism for sustaining coastal marshes, but potentially limited by natural and anthropogenic barriers. In this study, we focus on the Chesapeake Bay as a case study and combine previous delineations of the marsh-forest boundary and high-resolution topobathymetric data with sea level rise predictions to uniquely assess marsh migration potential on the scale of U.S. Geological Survey HUC10 watersheds. Combining these predictions results in a high-resolution Chesapeake Bay-wide assessment of marsh migration potential through the end of the century. Additionally, we analyze high-resolution land use data within the potential migration area to assess what ecosystems are at risk of loss to marsh via salinization and what potential anthropogenic features exist in the marsh migration corridor. The data consists of 3 files created from analyses conducted during the study: 1) A table summarizing characteristics of the study sites, including elevation and land use, and 2) A zipped Shapefile containing the boundaries of the HUC10 watersheds, 3) A zipped raster (CB_MarshMigrationArea.tif) of elevation categories. Cell values indicate: 1 = area below threshold elevation 2 = area between threshold elevation and 0.5 m of SLR. 3 = area between 0.5 and 1 m of SLR. 4 = area between 1 and 1.5 m of SLR. 5 = area between 1.5 and 2 m of SLR. 6 = area between 2 and 2.5 m of SLR. 7 = area above 2.5 m of SLR. Additionally, uploaded are 10 additional files containing the exact copies of the publicly available data we analyzed to create the above files. To obtain these files from their original sources (i.e. USGS, NOAA, etc) please see the links provided in the Metadata-LO-Letters-dat-V3.rtf file. 1) Points at the marsh-forest boundary 2) Chesapeake Conservancy High-Resolution Land Use 3) Chesapeake Conservancy High-Resolution L
Impoundments in the Chesapeake Bay coastal zone, 2016
Migration of salt marshes into adjacent uplands presents an opportunity to maintain ecosystem resilience in the face of sea level rise. However, infrastructure installed in low-lying coastal areas can both intentionally and unintentionally act as barriers to marsh migration. In the Chesapeake Bay, impoundments are commonly installed on salt-impacted agricultural fields to create habitat for waterfowl. Most of these structures are privately built and owned, with no centralized, public record, which makes it difficult to assess ecosystem impacts. We use deep learning tools in ArcGIS Pro 3.2 to identify impoundments installed within the Chesapeake Bay coastal zone (0 - 5 m above sea level). We trained a Mask Region-based Convolutional Neural Network (R-CNN) model to detect impoundments using a dataset of slope generated from the U.S. Geological Survey (USGS) Coastal National Elevation Database (CoNED) high resolution (1 m cell width) Topobathymetric Digital Elevation Model (TBDEM). Training samples were delineated in Somerset County, Maryland because of the extensive and rapid salinization of coastal farmland which has led to the widespread installation of waterfowl impoundments. The final set of training samples contained 3,900 images (512 x 512 m cell chip size), of which 90% were used for training and 10% were set aside for validation. The final model selected for impoundment detection had a precision score of 0.9609, which suggested that it performed well over the training area, and was then applied to the entire study region. We conducted extensive post-processing and visual examination of identified impoundments to account for any errors associated with applying the model to a broader region. The final dataset contained 1,684 impoundments which cover 6.6 km^2 (1,627 acres). The CoNED TBDEM was published in 2016, making these results a conservative estimate of impoundments in the Chesapeake Bay today.
Characteristics of the Marsh-Forest Boundary within Chesapeake Bay Region Coastal Watersheds
Sea level rise is leading to the rapid landward migration of marshes into coastal forests and other terrestrial ecosystems. Although complex biophysical interactions likely govern these ecosystem transitions, projections of sea level driven land conversion commonly rely on a simplified delineation of the marsh-upland boundary based on tidal datums alone. To determine the influence of biophysical drivers on the elevation of the marsh-forest transition, and their implication for land conversion, we examined almost 100,000 high-resolution marsh-forest boundary elevation points, determined independently from tidal datums, alongside 14 environmental variables in the Chesapeake Bay, the largest estuary in the United States.
Marsh migration land use inferred from historical T-Sheets of the Chesapeake Bay
Detailed methods are listed in the associated publication (Schieder et al., 2018 https://doi.org/10.1007/s12237-017-0336-9). Briefly, we compared the spatial distribution of marshes in nineteenth-century maps to modern aerial photographs for the areas included in 40 NOS topographic sheets ("T-sheets") that included information on simple land types (e.g., marsh, farmland, forests) from the tidal portions of the Chesapeake Bay. Tidal marsh extent was digitized by hand by tracing the boundary between marsh and open water and the boundary between marsh and upland. The marsh-forest boundary was identified as the line between the dense tree canopy and marsh, the marsh-agriculture boundary was identified as the line between agriculture and marsh, and the marsh-water boundary was identified as the line between open water and adjacent land excluding beaches. The areas of agricultural land converted to marsh, forestland converted to marsh, and total upland conversion to marsh were summarized for each T-Sheet.
Temperature, pH and conductivity of tidal creeks in the Chesapeake Bay and Atlantic Coasts of Northampton County, VA 1991
This data was submitted in 4 individual files. These have been merged as 'all.prn' and the original files are available in the orig_data subdirectory. Spreadsheet readable (tab-delimited ASCII and Excel) versions are in the 'spreadsheets' directory.
Data supplementing article "Transport of riverine material from multiple rivers in the Chesapeake Bay: important control of estuarine circulation on the material distribution" under review at the Journal of Geophysical Research - Biogeoscience
<p>These data supplement the article: Du, J. and J. Shen, Transport of riverine material from multiple rivers in the Chesapeake Bay: important control of estuarine circulation on the material distribution, under review at the Journal Of Geophysical Research: Biogeoscience</p> <p>contact: Jiabi Du, jiabi@vims.edu</p> <p>Below are descriptions of the data files included here:</p> <p>1. Monthly mean tracer output [1985-2014]</p> <p>-netCDF format results for monthly mean tracer concentrations from different sources (Susquehanna, Potomac, Rappahannock, York, James Rivers, and Coastal Ocean)</p> <p>-grid information are also included</p> <p>2. Matlab Scripts For Plotting.zip:</p> <p>-Matlab scripts used to plot the horizontal map, the vertical profile for the along channel section, the vertical profile for cross-channel sections. The script enables users to define the period and section no to plot. </p> <p>3. tracer influx and outflux ratio at 9 cross-section.xls:</p> <p>-an excel file contains the bottom tracer influx ratio and surface tracer outflux ratio for different rivers at different sections. </p>
Chesapeake Bay and Baltic Sea phytoplankton sample metadata
<p>We analyze the relationship between species richness, salinity and resource use efficiency from 10712 summer (June to September) surface phytoplankton samples from the Chesapeake Bay (n=3967) and the Baltic Sea (n=6745). As sample species richness (alpha diversity) has a U-shape distribution along an estuarine salinity gradient and species richness is known to scale with resource use efficiency – an important ecosystem function, we hypothesized that the ecosystem function can be predicted from salinity.</p>
Fig. 6 in New Miocene Monachinae From The Western Shore Of The Chesapeake Bay (Maryland, Usa)
Fig. 6. Humeri. Left humerus of Leptophoca lenis from Maryland, USA (USNM 412115) in A — medial; B — cranial; and C — caudal views. Incomplete left humeri of Terranectes magnus (holotype, CMM-V-4710) in D — medial; E — lateral; F — caudal and G — cranial views; and T. parvus (CMM-V-4688) in H — medial; I — cranial and J — caudal views. Scale bars equal 5 cm/2 inches.
Fig. 12 in New Miocene Monachinae From The Western Shore Of The Chesapeake Bay (Maryland, Usa)
Fig. 12. Pes. Phalanges of Recent spotted seal (Phoca largha; UAM 11634) in A — hindfoot and B — forefoot. C — incomplete, reconstructed left hindfoot of Terranectes parvus (CMM-V-4691-4700). Metatarsal bones found separate and placement of some phalanges uncertain. Astragalus of T. parvus (CMM-V-4682) in D — cranial and E — lateral views.
Fig. 1 in New Miocene Monachinae From The Western Shore Of The Chesapeake Bay (Maryland, Usa)
Fig. 1. Phocid dispersal map. World map showing the likely origin of seals in the Paratethyan / Mediterranean basin (gray outline) and their westward dispersal. Both Phocinae (Leptophoca amphiatlantica, ~16 Ma) and Monachinae (Terranectes, ~ 11 Ma) crossed the Atlantic Ocean and settled on the western shore of the North Atlantic (black arrow with asterisks). The black rectangle indicates the Chesapeake group, the location of the oldest known phocine and monachine extinct seals in North America.
Fig. 4 in New Miocene Monachinae From The Western Shore Of The Chesapeake Bay (Maryland, Usa)
Fig. 4. Atlas and skull. Atlas (C1) of Leptophoca lenis from Maryland, USA (USNM 411889) in A — dorsal; B — ventral; C — caudal and D — cranial views. Skull fragment of Terranectes magnus (CMM-V-4680) in E — lateral view; and T. parvus (CMM-V-4679) in F — lateral and G, medial views. Atlas of T. magnus (CMM- V-4677) in H — cranial and I — caudal views. Cervical vertebra of T. magnus (CMM-V-4676) in J, ventral; K — dorsal, and L — caudal views.
Fig. 8 in New Miocene Monachinae From The Western Shore Of The Chesapeake Bay (Maryland, Usa)
Fig. 8. Fossil innominata. Innominate bones in lateral view: A — Terranectes magnus (L., incomplete, CMM- V-4708); B — Terranectes parvus (L., incomplete, CMM-V-4683); C — Homiphoca capensis (L., incomplete, South African Museum PQ-L30236; Muizon and Hendey 1980, fig. 12); D — Callophoca obscura (Ơ, incomplete, USNM 425886, from Lee Creek Mine, USA; Koretsky and Ray 2008, fig. 33); E — Acrophoca longirostris (L., incomplete, SAS 563; Muizon 1981a, pl.11, fig. 1); F — Piscophoca pacifica (R., SAS 682; Muizon 1981a, pl.5, fig.1). In medial view: G — T. magnus (L., incomplete, CMM-V-4708) and H — T. parvus (L., incomplete, CMM-V-4683). T. magnus (L., incomplete, CMM-V-4708) in I — cranial and J — caudal views. T. parvus (L., incomplete, CMM-V-4683) in K — caudal and L — cranial views.
Fig. 7 in New Miocene Monachinae From The Western Shore Of The Chesapeake Bay (Maryland, Usa)
Fig. 7. Modern and fossil innominate bones. Left innominate of Leptophoca lenis from Maryland, USA (USNM 263648) in A — lateral (reversed) and B — medial views. Innominate of Recent Phoca vitulina (CMM-O-399, L. and R.) in C — lateral and D — medial views.
Fig. 5 in New Miocene Monachinae From The Western Shore Of The Chesapeake Bay (Maryland, Usa)
Fig. 5. Sacrum. Sacrum of Leptophoca lenis from Maryland, USA (USNM 23231) in A — dorsal; B — ventral and C — cranial views.Sacrum of Terranectes magnus (CMM-V-4703) in D — lateral; E — ventral, and F — medial views.
Fig. 3 in New Miocene Monachinae From The Western Shore Of The Chesapeake Bay (Maryland, Usa)
Fig. 3. Stratigraphic correlation of the Chesapeake Group. Site #PQ-BH9812, in southern Southampton County, Virginia, near the North Carolina border, exposes beds of the Eastover Formation.
Data from Diel Studies of the vertical migration of Margalefidinium polykrikoides in a lower Chesapeake Bay tributary.
<p>This dataset is in support of the publication "Diel vertical migration rates of the harmful algal bloom dinoflagellate species <em>Margalefidinium polykrikoides</em> in a lower Chesapeake Bay tributary." published in Frontiers in Aquatic Microbiology. The paper provides field-derived estimates of <em>M. polykrikoides’</em> diel vertical migration (DVM) rates have been made in the Chesapeake Bay. In this study, we conducted four targeted field experiments to investigate the DVM of M. polykrikoides in the Lafayette River, a sub-tributary of the Chesapeake Bay. Vertical profiles of chlorophyll a fluorescence collected at least every 2 h over diel periods were used to track the DVM of M. polykrikoides during blooms. Here we provide two supporting data files: 1) vertical profile data collected during the diel studies; and 2) cell counts for vertically migrating dinoflagellate species present during the first three diel studies.</p>
Figure 2. Paraprionospio alata collected from Chesapeake Bay. A, 1 in A revision of the genus Paraprionospio Caullery (Polychaeta: Spionidae)
Figure 2. Paraprionospio alata collected from Chesapeake Bay. A, 1st lamella from the base of right branchia on setiger 1 in cross-section, seen from top; B, 2nd lamella of the same branchia in cross-section, seen from top; C, 5th lamella of the same branchia in cross-section, seen from top; D, middle region of the same branchia in cross-section, seen from top; E, distal region of the same branchia in cross-section, seen from top; F, distal end of the same branchia, seen from the side; G, 1st parapodium, in anterior view; H, 2nd parapodium, in anterior view; I, 3rd parapodium, in anterior view; J, 4th parapodium, in anterior view; K, 5th parapodium, in anterior view; L, 6th parapodium, in anterior view; M, 7th parapodium, in anterior view; N, 8th parapodium, in anterior view; O, 9th parapodium, in anterior view; P, 15th parapodium, in anterior view; Q, 36th parapodium, in anterior view.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.