Item talk:Q227167

{

 "@context": "http://schema.org/",
 "@type": "WebPage",
 "additionalType": "Research",
 "url": "https://www.usgs.gov/centers/chesapeake-bay-activities/science/agricultural-best-management-practices-can-improve-water",
 "headline": "Agricultural best management practices can improve water quality and conditions for fisheries in the Chesapeake Bay Watershed",
 "datePublished": "December 21, 2022",
 "author": [
   {
     "@type": "Person",
     "name": "Stephanie Gordon",
     "url": "https://www.usgs.gov/staff-profiles/stephanie-gordon",
     "identifier": {
       "@type": "PropertyValue",
       "propertyID": "orcid",
       "value": "0000-0002-6292-2612"
     }
   }
 ],
 "description": [
   {
     "@type": "TextObject",
     "text": "BMPs known to improve water quality were chosen to generate a BMP intensity metric, quantified as acres of BMPs per acres of agricultural land cover. Statistical modeling was used to evaluate the potential effects of landscape and climate factors on estrogenic activity concentrations."
   },
   {
     "@type": "TextObject",
     "text": "The analysis determined key relationships between BMP intensity and type, agricultural landuse, and estrogenic activity. Some of the major findings were:"
   },
   {
     "@type": "TextObject",
     "text": "Issue"
   },
   {
     "@type": "TextObject",
     "text": "The study focused on gaining a greater understanding of the role of BMPs and other important variables potentially linked to lower levels of estrogenic activity concentrations in agricultural watersheds \nof the region."
   },
   {
     "@type": "TextObject",
     "text": "The study provides managers with a broader perspective on the importance of BMPs, especially in agricultural watersheds, to achieve healthier waters."
   },
   {
     "@type": "TextObject",
     "text": "Estrogenic activity concentrations were compiled to create a spatially and temporally robust dataset containing 244 unique sites (841 total samples) collected from 211 NHDPlus version 2.1 catchments across the Chesapeake Bay Watershed (CBW). Sites were characterized based on landscape data representing known and potential sources of estrogenic activity and matched to sampling dates for analysis (figure 2)."
   },
   {
     "@type": "TextObject",
     "text": "Partners in the Chesapeake Bay Program (CBP) are implementing best management practices (BMPs) to prevent nutrient and sediment from entering waterways across the Chesapeake watershed and reduce loads to the Bay. In addition to reducing nutrients, CBP partners want to better understand how BMPs can provide additional benefits for addressing toxic contaminants, such as pesticides, hormones, and pathogens. Agricultural land use and activities (manure application, pesticides use, phytoestrogens in crops) are known to contribute compounds to surface waters that disrupt normal hormone function in organisms. High levels of estrogenic activity have been observed to adversely affect fish and are linked to effects including intersex in male fish, increased susceptibility to immunosuppression and parasites or lesions, and potential population-level effects. An effects-based threshold of 1.0 ng/L has been used to categorize low and high levels of estrogenic activity in relation to fish health."
   }
 ],
 "funder": {
   "@type": "Organization",
   "name": "Chesapeake Bay Activities",
   "url": "https://www.usgs.gov/centers/chesapeake-bay-activities"
 },
 "about": [
   {
     "@type": "Thing",
     "name": "Science Technology"
   },
   {
     "@type": "Thing",
     "name": "Gordon"
   },
   {
     "@type": "Thing",
     "name": "Freshwater Fish and Habitats"
   },
   {
     "@type": "Thing",
     "name": "Information Systems"
   },
   {
     "@type": "Thing",
     "name": "Chesapeake Bay"
   },
   {
     "@type": "Thing",
     "name": "Methods and Analysis"
   },
   {
     "@type": "Thing",
     "name": "Factors Affecting Water Quality"
   },
   {
     "@type": "Thing",
     "name": "Fish and Wildlife Disease"
   },
   {
     "@type": "Thing",
     "name": "Geology"
   },
   {
     "@type": "Thing",
     "name": "Fish, Streams, and Water Quality"
   },
   {
     "@type": "Thing",
     "name": "Water"
   },
   {
     "@type": "Thing",
     "name": "Energy"
   },
   {
     "@type": "Thing",
     "name": "Disease and Environmental Stress"
   },
   {
     "@type": "Thing",
     "name": "Environmental Health"
   },
   {
     "@type": "Thing",
     "name": "Endocrine Disruption"
   },
   {
     "@type": "Thing",
     "name": "Fish and Wildlife Disease Investigation and  Surveillance"
   }
 ]

}