Eelgrass (Zostera marina L.) in the Chesapeake Bay Region of Mid-Atlantic Coast of the USA: Challenges in Conservation and Restoration

2009 ◽  
Vol 33 (1) ◽  
pp. 139-150 ◽  
Author(s):  
Robert J. Orth ◽  
Scott R. Marion ◽  
Kenneth A. Moore ◽  
David J. Wilcox
2015 ◽  
Vol 30 (2) ◽  
pp. 93-116 ◽  
Author(s):  
Nina Desianti ◽  
Marina Potapova ◽  
Jennifer Beals
Keyword(s):  

2013 ◽  
Vol 4 (1) ◽  
pp. 178-198 ◽  
Author(s):  
E. D. Silverman ◽  
D. T. Saalfeld ◽  
J. B. Leirness ◽  
M. D. Koneff

Abstract Although monitoring data for sea ducks (Tribe Mergini) are limited, current evidence suggests that four of the most common species wintering along the eastern coast of the United States—long-tailed duck Clangula hyemalis, white-winged scoter Melanitta fusca, surf scoter Melanitta perspicillata, and black scoter Melanitta americana—may be declining, while the status of American common eider Somateria mollissima dresseri is uncertain. The apparent negative trends, combined with the fact that sea duck life histories are among the most poorly documented of North American waterfowl, have led to concerns for these species and questions about the impacts of human activities, such as hunting, as well as catastrophic events and environmental change. During winter, thousands of sea ducks are found along the U.S. Atlantic coast, where they may be affected by proposed wind-power development, changes to marine traffic, aquaculture practices, sand mining, and other coastal development. Possible impacts are difficult to quantify because traditional winter waterfowl surveys do not cover many of the marine habitats used by sea ducks. Thus, the U.S. Fish and Wildlife Service conducted an experimental survey of sea ducks from 2008 to 2011 to characterize their winter distributions along the U.S. Atlantic coast. Each year, data were collected on 11 species of sea ducks on >200 transects, stretching from Maine to Florida. In this paper, we describe distribution of common eider, long-tailed duck, white-winged scoter, surf scoter, and black scoter. Densities of the two species with the most northerly distribution, white-winged scoter and common eider, were highest near Cape Cod and Nantucket. Long-tailed duck was most abundant around Cape Cod, Nantucket Shoals, and in Chesapeake Bay. Surf scoter also concentrated within Chesapeake Bay; however, they were additionally found in high densities in Delaware Bay, and along the Maryland–Delaware outer coast. Black scoter, the most widely distributed species, occurred at high densities along the South Carolina coast and the mouth of Chesapeake Bay. Spatial patterns of high-density transects were consistent among years for all species except black scoter, which exhibited the most interannual variation in distribution. The distance from land, depth, and bottom slope where flocks were observed varied among species and regions, with a median distance of 3.8 km from land along the coastal transects and 75% of flocks observed over depths of <16 m. Common eider and long-tailed duck were observed closer to shore and over steeper ocean bottoms than were the three scoter species. Our results represent the first large-scale quantitative description of winter sea duck distribution along the U.S. Atlantic coast, and should guide the development of sea duck monitoring programs and aid the assessment of potential impacts of ongoing and proposed offshore development.


EcoHealth ◽  
2020 ◽  
Vol 17 (3) ◽  
pp. 270-279
Author(s):  
Federico Castro Monzon ◽  
Mark-Oliver Rödel ◽  
Jonathan M. Jeschke

AbstractInfection records of Batrachochytrium dendrobatidis (Bd), a pathogen that has devastated amphibian populations worldwide, have rapidly increased since the pathogen’s discovery. Dealing with so many records makes it difficult to (a) know where, when and in which species infections have been detected, (b) understand how widespread and pervasive Bd is and (c) prioritize study and management areas. We conducted a systematic review of papers and compiled a database with Bd infection records. Our dataset covers 71 amphibian families and 119 countries. The data revealed how widespread and adaptable Bd is, being able to infect over 50% of all tested amphibian species, with over 1000 confirmed host species and being present in 86 countries. The distribution of infected species is uneven among and within countries. Areas where the distributions of many infected species overlap are readily visible; these are regions where Bd likely develops well. Conversely, areas where the distributions of species that tested negative overlap, such as the Atlantic Coast in the USA, suggest the presence of Bd refuges. Finally, we report how the number of tested and infected species has changed through time, and provide a list of oldest detection records per country.


2010 ◽  
Vol 18 (4) ◽  
pp. 501-513 ◽  
Author(s):  
Rebecca R. Golden ◽  
Kathryn E. Busch ◽  
Lee P. Karrh ◽  
Thomas A. Parham ◽  
Mark J. Lewandowski ◽  
...  

2017 ◽  
Vol 23 (9) ◽  
pp. 3474-3483 ◽  
Author(s):  
Jonathan S. Lefcheck ◽  
David J. Wilcox ◽  
Rebecca R. Murphy ◽  
Scott R. Marion ◽  
Robert J. Orth

2006 ◽  
Vol 4 (1) ◽  
pp. 68-80 ◽  
Author(s):  
Pavlina Simeonova ◽  
Costel Sarbu ◽  
Thomas Spanos ◽  
Vasil Simeonov ◽  
Stefan Tsakovski

AbstractThe present paper deals with the application of classical and fuzzy principal components analysis to a large data set from coastal sediment analysis. Altogether 126 sampling sites from the Atlantic Coast of the USA are considered and at each site 16 chemical parameters are measured. It is found that four latent factors are responsible for the data structure (“natural”, “anthropogenic”, “bioorganic”, and “organic anthropogenic”). Additionally, estimating the scatter plots for factor scores revealed the similarity between the sampling sites. Geographical and urban factors are found to contribute to the sediment chemical composition. It is shown that the use of fuzzy PCA helps for better data interpretation especially in case of outliers.


Author(s):  
Mark R. Collins ◽  
S. Gordon Rogers ◽  
Theodore I.J. Smith
Keyword(s):  

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