Item talk:Q265324

From geokb

{

 "USGS Publications Warehouse": {
   "@context": "https://schema.org",
   "@type": "CreativeWork",
   "additionalType": "Book Chapter",
   "name": "Fish assemblages",
   "identifier": [
     {
       "@type": "PropertyValue",
       "propertyID": "USGS Publications Warehouse IndexID",
       "value": "70192567",
       "url": "https://pubs.usgs.gov/publication/70192567"
     },
     {
       "@type": "PropertyValue",
       "propertyID": "USGS Publications Warehouse Internal ID",
       "value": 70192567
     },
     {
       "@type": "PropertyValue",
       "propertyID": "DOI",
       "value": "10.1016/B978-0-12-416558-8.00016-0",
       "url": "https://doi.org/10.1016/B978-0-12-416558-8.00016-0"
     },
     {
       "@type": "PropertyValue",
       "propertyID": "ISBN",
       "value": "9780124165588"
     }
   ],
   "inLanguage": "en",
   "datePublished": "2017",
   "dateModified": "2018-01-26",
   "abstract": "Methods to sample fishes in stream ecosystems and to analyze the raw data, focusing primarily on assemblage-level (all fish species combined) analyses, are presented in this chapter. We begin with guidance on sample site selection, permitting for fish collection, and information-gathering steps to be completed prior to conducting fieldwork. Basic sampling methods (visual surveying, electrofishing, and seining) are presented with specific instructions for estimating population sizes via visual, capture-recapture, and depletion surveys, in addition to new guidance on environmental DNA (eDNA) methods. Steps to process fish specimens in the field including the use of anesthesia and preservation of whole specimens or tissue samples (for genetic or stable isotope analysis) are also presented. Data analysis methods include characterization of size-structure within populations, estimation of species richness and diversity, and application of fish functional traits. We conclude with three advanced topics in assemblage-level analysis: multidimensional scaling (MDS), ecological networks, and loop analysis.",
   "description": "33 p.",
   "publisher": {
     "@type": "Organization",
     "name": "Academic Press"
   },
   "editor": [
     {
       "@type": "Person",
       "name": "Hauer, F. Richard",
       "givenName": "F. Richard",
       "familyName": "Hauer"
     },
     {
       "@type": "Person",
       "name": "Lamberti, G. A.",
       "givenName": "G. A.",
       "familyName": "Lamberti"
     }
   ],
   "author": [
     {
       "@type": "Person",
       "name": "McGarvey, Daniel J.",
       "givenName": "Daniel J.",
       "familyName": "McGarvey"
     },
     {
       "@type": "Person",
       "name": "Li, Hiram W.",
       "givenName": "Hiram W.",
       "familyName": "Li"
     },
     {
       "@type": "Person",
       "name": "Li, Judith",
       "givenName": "Judith",
       "familyName": "Li"
     },
     {
       "@type": "Person",
       "name": "Falke, Jeffrey A. jfalke@usgs.gov",
       "givenName": "Jeffrey A.",
       "familyName": "Falke",
       "email": "jfalke@usgs.gov",
       "identifier": {
         "@type": "PropertyValue",
         "propertyID": "ORCID",
         "value": "0000-0002-6670-8250",
         "url": "https://orcid.org/0000-0002-6670-8250"
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       "affiliation": [
         {
           "@type": "Organization",
           "name": "Coop Res Unit Seattle",
           "url": "https://www1.usgs.gov/coopunits/unit/Washington"
         }
       ]
     }
   ],
   "funder": [
     {
       "@type": "Organization",
       "name": "Coop Res Unit Seattle",
       "url": "https://www1.usgs.gov/coopunits/unit/Washington"
     }
   ]
 }

}