FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2129841704> ?p ?o ?g. }

• W2129841704 endingPage "371" @default.
• W2129841704 startingPage "359" @default.
• W2129841704 abstract "Abstract The North Cascades (Nooksack) elk ( Cervus elaphus ) population declined during the 1980s, prompting a closure to state and tribal hunting in 1997 and an effort to restore the herd to former abundance. In 2005, we began a study to assess the size of the elk population, judge the effectiveness of restoration efforts, and develop a practical monitoring strategy. We concurrently evaluated 2 monitoring approaches: sightability correction modeling and mark‐resight modeling. We collected data during February–April helicopter surveys and fit logistic regression models to predict the sightability of elk groups based on group and environmental variables. We used an information‐theoretic criterion to compare 9 models of varying complexity; the best model predicted sightability of elk groups based on 1) transformed (log 2 ) group size, 2) forest canopy cover (%), and 3) a categorical activity variable (active vs. bedded). The sightability model indicated relatively steady and modest herd growth during 2006–2011, but estimates were less than minimum‐known‐alive counts. We also used the logit‐normal mixed effects (LNME) mark‐resight model to generate estimates of total elk population size and the sizes of the adult female and branch‐antlered male subpopulations. We explored 15 LNME models to predict total population size and 12 models to predict subpopulations. Our results indicated individual heterogeneity in resighting probabilities and variation in resighting probabilities across sexes and some years. Model‐averaged estimates of total population size increased from 639 (95% CI = 570–706) in spring 2006 to 1,248 (95% CI = 1,094–1,401) in 2011. We estimated the adult female subpopulation increased from 381 (95% CI = 338–424) in spring 2006 to 573 (95% CI = 507–639) by 2011. The branch‐antlered male subpopulation estimates increased from 87 (95% CI = 54–119) to 180 (95% CI = 118–241) from spring 2006 to spring 2011. The LNME model estimates were greater than sightability model estimates and minimum‐known‐alive counts. We concluded that mark‐resight performed better and was a viable approach for monitoring this small elk population and possibly others with similar characteristics (i.e., small population and landscape scales), but this approach requires periodic marking of elk; we estimated mark‐resight costs would be about 40% greater than sightability model application costs. The utility of sightability‐correction modeling was limited by a high proportion of groups with low detectability on our densely forested landscape. © 2012 The Wildlife Society." @default.
• W2129841704 created "2016-06-24" @default.
• W2129841704 creator A5018054456 @default.
• W2129841704 creator A5018413556 @default.
• W2129841704 creator A5025150737 @default.
• W2129841704 creator A5028636304 @default.
• W2129841704 creator A5035613006 @default.
• W2129841704 creator A5078083091 @default.
• W2129841704 date "2012-08-20" @default.
• W2129841704 modified "2023-10-11" @default.
• W2129841704 title "Mark-resight and sightability modeling of a western Washington elk population" @default.
• W2129841704 cites W156492423 @default.
• W2129841704 cites W1932590463 @default.
• W2129841704 cites W1968051689 @default.
• W2129841704 cites W1969428376 @default.
• W2129841704 cites W1976075926 @default.
• W2129841704 cites W1982512880 @default.
• W2129841704 cites W1990524007 @default.
• W2129841704 cites W1997542592 @default.
• W2129841704 cites W2016196399 @default.
• W2129841704 cites W2033363808 @default.
• W2129841704 cites W2043753646 @default.
• W2129841704 cites W2047164113 @default.
• W2129841704 cites W2058707879 @default.
• W2129841704 cites W2061457836 @default.
• W2129841704 cites W2062767992 @default.
• W2129841704 cites W2062960104 @default.
• W2129841704 cites W2066332484 @default.
• W2129841704 cites W2113024914 @default.
• W2129841704 cites W2114124675 @default.
• W2129841704 cites W2133371793 @default.
• W2129841704 cites W2173802002 @default.
• W2129841704 cites W2174116583 @default.
• W2129841704 cites W2180610624 @default.
• W2129841704 cites W2312300484 @default.
• W2129841704 cites W2313924780 @default.
• W2129841704 cites W2315551490 @default.
• W2129841704 cites W2315802006 @default.
• W2129841704 cites W2316337500 @default.
• W2129841704 cites W2318806192 @default.
• W2129841704 cites W2319325349 @default.
• W2129841704 cites W2324724479 @default.
• W2129841704 cites W2327902929 @default.
• W2129841704 cites W2328221536 @default.
• W2129841704 cites W2329608975 @default.
• W2129841704 cites W2330094102 @default.
• W2129841704 cites W2335208213 @default.
• W2129841704 cites W2488779500 @default.
• W2129841704 doi "https://doi.org/10.1002/jwmg.451" @default.
• W2129841704 hasPublicationYear "2012" @default.
• W2129841704 type Work @default.
• W2129841704 sameAs 2129841704 @default.
• W2129841704 citedByCount "14" @default.
• W2129841704 countsByYear W21298417042013 @default.
• W2129841704 countsByYear W21298417042014 @default.
• W2129841704 countsByYear W21298417042015 @default.
• W2129841704 countsByYear W21298417042016 @default.
• W2129841704 countsByYear W21298417042017 @default.
• W2129841704 countsByYear W21298417042019 @default.
• W2129841704 countsByYear W21298417042022 @default.
• W2129841704 crossrefType "journal-article" @default.
• W2129841704 hasAuthorship W2129841704A5018054456 @default.
• W2129841704 hasAuthorship W2129841704A5018413556 @default.
• W2129841704 hasAuthorship W2129841704A5025150737 @default.
• W2129841704 hasAuthorship W2129841704A5028636304 @default.
• W2129841704 hasAuthorship W2129841704A5035613006 @default.
• W2129841704 hasAuthorship W2129841704A5078083091 @default.
• W2129841704 hasConcept C105795698 @default.
• W2129841704 hasConcept C140331021 @default.
• W2129841704 hasConcept C144024400 @default.
• W2129841704 hasConcept C149923435 @default.
• W2129841704 hasConcept C151956035 @default.
• W2129841704 hasConcept C169733012 @default.
• W2129841704 hasConcept C18903297 @default.
• W2129841704 hasConcept C194775826 @default.
• W2129841704 hasConcept C205649164 @default.
• W2129841704 hasConcept C2908647359 @default.
• W2129841704 hasConcept C2992853004 @default.
• W2129841704 hasConcept C33923547 @default.
• W2129841704 hasConcept C52079815 @default.
• W2129841704 hasConcept C5274069 @default.
• W2129841704 hasConcept C77077793 @default.
• W2129841704 hasConcept C86803240 @default.
• W2129841704 hasConceptScore W2129841704C105795698 @default.
• W2129841704 hasConceptScore W2129841704C140331021 @default.
• W2129841704 hasConceptScore W2129841704C144024400 @default.
• W2129841704 hasConceptScore W2129841704C149923435 @default.
• W2129841704 hasConceptScore W2129841704C151956035 @default.
• W2129841704 hasConceptScore W2129841704C169733012 @default.
• W2129841704 hasConceptScore W2129841704C18903297 @default.
• W2129841704 hasConceptScore W2129841704C194775826 @default.
• W2129841704 hasConceptScore W2129841704C205649164 @default.
• W2129841704 hasConceptScore W2129841704C2908647359 @default.
• W2129841704 hasConceptScore W2129841704C2992853004 @default.
• W2129841704 hasConceptScore W2129841704C33923547 @default.
• W2129841704 hasConceptScore W2129841704C52079815 @default.
• W2129841704 hasConceptScore W2129841704C5274069 @default.
• W2129841704 hasConceptScore W2129841704C77077793 @default.

• next