FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2173902562> ?p ?o ?g. }

• W2173902562 endingPage "1503" @default.
• W2173902562 startingPage "1499" @default.
• W2173902562 abstract "Survival is a major determinant of animal population size and trend, and survival estimation has received considerable attention from population and conservation biologists seeking to understand patterns of abundance and numerical change in ecological systems. Although researchers commonly consider survival to be a population parameter, it is an attribute of individual animals. Because genetic, demographic, ecological, and environmental factors act upon individuals to influence survival, the objective of modern survival analysis is to quantify the role of such factors on mortality risk. In recent years, survival has been a prevalent topic of study in the Journal of Wildlife Management compared to other demographic attributes like productivity and dispersal (Fig. 1). However, survival tends to be more difficult to estimate properly than other demographic parameters (McCallum 2000, Fox 2001), especially among free-ranging animals where cryptic behavior patterns and difficulties in marking and monitoring often lead to small sample sizes and a high proportion of subjects succumbing to an unknown fate. These problems can limit the amount and quality of survival data obtained from ecological studies, and the challenge for researchers is to apply robust methodology that will make effective use of survival information obtained under sometimes constraining field conditions. Survival estimation has its early roots in human medicine and epidemiology (Oakes 2001), but in recent decades, considerable effort has focused on the development of reliable survival methods for application with free-ranging animals (Brownie et al. 1985, Burnham et al. 1987, Pollock et al. 1990, Lereton et al. 1992). In the last 20 years, substantial improvements have been made in this arena, both in terms of capture, marking, and monitoring techniques facilitating comprehensive survival assessment for free-ranging animals (Krebs 1999, Kenward 2001, Millspaugh and Marzluff 2001), and in the development of software programs allowing for the analysis of complex survival functions (Williams et al. 2002). Together, these changes have elicited a flurry of innovative survival research in animal ecology (Lebreton et al. 1992, Cam et al. 2002, DelGiudice et al. 2002, Dinsmore et al. 2002). These recent advances notwithstanding, there remains significant interest in the current state of survival estimation in wildlife research, particularly in terms of basic assumptions that may be difficult to meet in many research studies, or in the application of specialized analytical techniques requiring particular specification (Krebs 1999, Williams et al. 2002, Zens and Peart 2003, Rotella et al. 2004). Thus, a general review of current methodology and new developments in wildlife survival estimation should be timely and beneficial." @default.
• W2173902562 created "2016-06-24" @default.
• W2173902562 creator A5007748122 @default.
• W2173902562 creator A5024143178 @default.
• W2173902562 date "2006-12-01" @default.
• W2173902562 modified "2023-09-27" @default.
• W2173902562 title "Wildlife Survival Estimation: Recent Advances and Future Directions" @default.
• W2173902562 cites W1559139062 @default.
• W2173902562 cites W1573540321 @default.
• W2173902562 cites W1976824697 @default.
• W2173902562 cites W1985112723 @default.
• W2173902562 cites W1986219968 @default.
• W2173902562 cites W1995402880 @default.
• W2173902562 cites W1995540414 @default.
• W2173902562 cites W1998697484 @default.
• W2173902562 cites W2007054398 @default.
• W2173902562 cites W2011415756 @default.
• W2173902562 cites W2014317435 @default.
• W2173902562 cites W2014699296 @default.
• W2173902562 cites W2016076098 @default.
• W2173902562 cites W2045216925 @default.
• W2173902562 cites W2046137041 @default.
• W2173902562 cites W2047495451 @default.
• W2173902562 cites W2047810995 @default.
• W2173902562 cites W2051352734 @default.
• W2173902562 cites W2084734423 @default.
• W2173902562 cites W2092482339 @default.
• W2173902562 cites W2134286754 @default.
• W2173902562 cites W2136819644 @default.
• W2173902562 cites W2175301299 @default.
• W2173902562 cites W2178184438 @default.
• W2173902562 cites W2324452306 @default.
• W2173902562 cites W2333357124 @default.
• W2173902562 cites W2801033025 @default.
• W2173902562 cites W3024778285 @default.
• W2173902562 cites W3143017305 @default.
• W2173902562 cites W96282743 @default.
• W2173902562 cites W2740125304 @default.
• W2173902562 doi "https://doi.org/10.2193/0022-541x(2006)70[1499:wseraa]2.0.co;2" @default.
• W2173902562 hasPublicationYear "2006" @default.
• W2173902562 type Work @default.
• W2173902562 sameAs 2173902562 @default.
• W2173902562 citedByCount "31" @default.
• W2173902562 countsByYear W21739025622012 @default.
• W2173902562 countsByYear W21739025622013 @default.
• W2173902562 countsByYear W21739025622014 @default.
• W2173902562 countsByYear W21739025622015 @default.
• W2173902562 countsByYear W21739025622017 @default.
• W2173902562 countsByYear W21739025622019 @default.
• W2173902562 countsByYear W21739025622020 @default.
• W2173902562 countsByYear W21739025622021 @default.
• W2173902562 countsByYear W21739025622022 @default.
• W2173902562 crossrefType "journal-article" @default.
• W2173902562 hasAuthorship W2173902562A5007748122 @default.
• W2173902562 hasAuthorship W2173902562A5024143178 @default.
• W2173902562 hasConcept C127413603 @default.
• W2173902562 hasConcept C18903297 @default.
• W2173902562 hasConcept C201995342 @default.
• W2173902562 hasConcept C205649164 @default.
• W2173902562 hasConcept C29376679 @default.
• W2173902562 hasConcept C86803240 @default.
• W2173902562 hasConcept C96250715 @default.
• W2173902562 hasConceptScore W2173902562C127413603 @default.
• W2173902562 hasConceptScore W2173902562C18903297 @default.
• W2173902562 hasConceptScore W2173902562C201995342 @default.
• W2173902562 hasConceptScore W2173902562C205649164 @default.
• W2173902562 hasConceptScore W2173902562C29376679 @default.
• W2173902562 hasConceptScore W2173902562C86803240 @default.
• W2173902562 hasConceptScore W2173902562C96250715 @default.
• W2173902562 hasIssue "6" @default.
• W2173902562 hasLocation W21739025621 @default.
• W2173902562 hasOpenAccess W2173902562 @default.
• W2173902562 hasPrimaryLocation W21739025621 @default.
• W2173902562 hasRelatedWork W137308321 @default.
• W2173902562 hasRelatedWork W1920312846 @default.
• W2173902562 hasRelatedWork W2131333479 @default.
• W2173902562 hasRelatedWork W2133441669 @default.
• W2173902562 hasRelatedWork W228806841 @default.
• W2173902562 hasRelatedWork W2520363979 @default.
• W2173902562 hasRelatedWork W2594342091 @default.
• W2173902562 hasRelatedWork W2949766402 @default.
• W2173902562 hasRelatedWork W4236312651 @default.
• W2173902562 hasRelatedWork W4311627026 @default.
• W2173902562 hasVolume "70" @default.
• W2173902562 isParatext "false" @default.
• W2173902562 isRetracted "false" @default.
• W2173902562 magId "2173902562" @default.
• W2173902562 workType "article" @default.