{"@context": "https://schema.org", "@type": "CreativeWork", "additionalType": "USGS Numbered Series", "name": "Faunal and vegetation monitoring in response to harbor dredging in the Port of Miami", "identifier": [{"@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "ofr20181052", "url": "https://pubs.usgs.gov/publication/ofr20181052"}, {"@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70196458}, {"@type": "PropertyValue", "propertyID": "DOI", "value": "10.3133/ofr20181052", "url": "https://doi.org/10.3133/ofr20181052"}], "inLanguage": "en", "isPartOf": [{"@type": "CreativeWorkSeries", "name": "Open-File Report"}], "datePublished": "2018", "dateModified": "2018-04-12", "abstract": "Seagrasses are highly productive ecosystems. A before-after-control-impact (BACI) design was used to examine effects of dredging on seagrasses and the animals that inhabit them. The control site North Biscayne Bay and the affected site Port of Miami had seagrass densities decrease during both the before, Fish and Invertebrate Assessment Network 2006-2011, and after, Faunal Monitoring in Response to Harbor Dredging 2014-2016, studies. Turbidity levels increased at North Biscayne Bay and Port of Miami basins during the Faunal Monitoring in Response to Harbor Dredging study, especially in 2016. Animal populations decreased significantly in North Biscayne Bay and Port of Miami in the Faunal Monitoring in Response to Harbor Dredging study compared to the Fish and Invertebrate Assessment Network study. Predictive modeling shows that numbers of animal populations will likely continue to decrease if the negative trends in seagrass densities continue unabated. There could be effects on several fisheries vital to the south Florida economy. Additional research could determine if animal populations and seagrass densities have rebounded or continued to decrease.", "description": "Report: viii, 38 p.; Data Release", "publisher": {"@type": "Organization", "name": "U.S. Geological Survey"}, "author": [{"@type": "Person", "name": "Daniels, Andre", "givenName": "Andre", "familyName": "Daniels", "identifier": {"@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0003-4172-2344", "url": "https://orcid.org/0000-0003-4172-2344"}, "affiliation": [{"@type": "Organization", "name": "Wetland and Aquatic Research Center", "url": "https://www.usgs.gov/centers/wetland-and-aquatic-research-center"}]}, {"@type": "Person", "name": "Stevenson, Rachael", "givenName": "Rachael", "familyName": "Stevenson", "affiliation": [{"@type": "Organization", "name": "Nova Southeastern University"}]}, {"@type": "Person", "name": "Smith, Erin", "givenName": "Erin", "familyName": "Smith", "affiliation": [{"@type": "Organization", "name": "Nova Southeastern University"}]}, {"@type": "Person", "name": "Robblee, Michael", "givenName": "Michael", "familyName": "Robblee", "affiliation": [{"@type": "Organization", "name": "USGS (emeritus)"}]}], "funder": [{"@type": "Organization", "name": "Wetland and Aquatic Research Center", "url": "https://www.usgs.gov/centers/wetland-and-aquatic-research-center"}], "spatialCoverage": [{"@type": "Place", "additionalType": "country", "name": "United States", "url": "https://geonames.org/6252001"}, {"@type": "Place", "additionalType": "state", "name": "Florida", "url": "https://geonames.org/4155751"}, {"@type": "Place", "additionalType": "unknown", "name": "North Biscayne Bay"}, {"@type": "Place", "additionalType": "unknown", "name": "Port of Miami", "url": "https://geonames.org/4169186"}, {"@type": "Place", "geo": [{"@type": "GeoShape", "additionalProperty": {"@type": "PropertyValue", "name": "GeoJSON", "value": {"type": "FeatureCollection", "features": [{"type": "Feature", "properties": {}, "geometry": {"type": "Polygon", "coordinates": [[[-80.20774841308594, 25.723209559418265], [-80.11505126953125, 25.723209559418265], [-80.11505126953125, 25.9117325831107], [-80.20774841308594, 25.9117325831107], [-80.20774841308594, 25.723209559418265]]]}}]}}}, {"@type": "GeoCoordinates", "latitude": 25.817471071264485, "longitude": -80.1613998413086}]}]}