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Conserv., 115, 101, 10.1016\u002FS0006-3207(03)00098-3\nStutchbury, 2001\nTan, 2022, Does bird photography affect nest predation and feeding frequency?, Avian Res., 13, 10.1016\u002Fj.avrs.2022.100036\nThompson, 2004, Differences in predators of artificial and real songbird nests: evidence of bias in artificial nest studies, Conserv. Biol., 18, 373, 10.1111\u002Fj.1523-1739.2004.00167.x\nVetter, 2013, A meta-analysis of tropical forest edge effects on bird nest predation risk: edge effects in avian nest predation, Biol. Conserv., 159, 382, 10.1016\u002Fj.biocon.2012.12.023\nVincze, 2017, Does urbanization affect predation of bird nests? A meta-analysis, Front. Ecol. Evol., 5, 29, 10.3389\u002Ffevo.2017.00029\nZanette, 2002, What do artificial nests tells us about nest predation?, Biol. Conserv., 103, 323, 10.1016\u002FS0006-3207(01)00143-4",{"EN":368},"Investigating how different classes of nest predators respond to the playback of the begging calls of nestling birds",{"VOID":370},"10.1016\u002Fj.avrs.2022.100044","2025-02-02T23:50:23.881+00:00","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS2053716622000408",[374,391,403,415],{"id":375,"sortIndex":221,"researcher":18,"roles":376,"affiliations":377,"properties":388},"efcb9706-bf46-431c-a283-4b7021bdab1f",[170],[378],{"id":18,"sortIndex":19,"affiliation":379,"properties":18},{"id":380,"createTime":381,"updateTime":382,"relativeEntities":383,"slug":384,"properties":385,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"d3a6a1d1-10c2-44c3-8535-a00efae8ba0c","2023-12-12T06:47:32.957+00:00","2024-09-24T21:08:31.709+00:00",[],"Guangxi-Key-Laboratory-of-Forest-Ecology-and-Conservation-College-of-Forestry-Guangxi-University-Nanning-530004-China",{"title":386},{"VI":387},"Guangxi Key Laboratory of Forest Ecology and Conservation, College of Forestry, Guangxi University, Nanning 530004, China",{"title":389},{"VI":390},"Aiwu Jiang",{"id":392,"sortIndex":187,"researcher":18,"roles":393,"affiliations":394,"properties":400},"5fe220db-7cb2-4a6b-9349-4ea1735975fd",[170],[395],{"id":18,"sortIndex":19,"affiliation":396,"properties":18},{"id":380,"createTime":381,"updateTime":382,"relativeEntities":397,"slug":384,"properties":398,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":399},{"VI":387},{"title":401},{"VI":402},"Eben Goodale",{"id":404,"sortIndex":19,"researcher":18,"roles":405,"affiliations":406,"properties":412},"0a1a0e63-9d00-4484-bb86-edc254813128",[170],[407],{"id":18,"sortIndex":19,"affiliation":408,"properties":18},{"id":380,"createTime":381,"updateTime":382,"relativeEntities":409,"slug":384,"properties":410,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":411},{"VI":387},{"title":413},{"VI":414},"Shilong Liu",{"id":416,"sortIndex":168,"researcher":18,"roles":417,"affiliations":418,"properties":424},"37ef6d8a-70ea-4486-a2b2-74b916a9b8da",[170],[419],{"id":18,"sortIndex":19,"affiliation":420,"properties":18},{"id":380,"createTime":381,"updateTime":382,"relativeEntities":421,"slug":384,"properties":422,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":423},{"VI":387},{"title":425},{"VI":426},"Qiao Xie",{"url":372,"publisher":428,"properties":455},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":429,"slug":10,"properties":430,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":433,"manageAffiliations":434,"indexDatabases":435,"url":18,"thumbnailPath":18,"statistic":450,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"eissn":431,"title":432},{"VOID":13},{"EN":15},[],[],[436,443],{"id":81,"indexDatabase":437,"url":96,"indexYears":18,"academicFieldIds":442,"indexDatabaseRanking":18},{"id":83,"createTime":84,"updateTime":85,"relativeEntities":438,"label":439,"description":440,"key":92,"publicationTags":441,"standard":18},[],{"EN":88,"VI":88},{"VI":90,"EN":91},[94,95],[98],{"id":61,"indexDatabase":444,"url":74,"indexYears":75,"academicFieldIds":449,"indexDatabaseRanking":79},{"id":63,"createTime":64,"updateTime":65,"relativeEntities":445,"label":446,"description":447,"key":71,"publicationTags":448,"standard":18},[],{"EN":68,"VI":68},{"EN":68,"VI":70},[73],[77,78],{"impactFactor":19,"impactFactorByYear":451,"i10Index":110,"i10IndexLast5Year":48,"totalPublication":111,"totalPublicationByYear":452,"totalCitation":123,"totalCitationByYear":453,"totalCitationPerPublication":133,"totalCitationPerPublicationByYear":454,"hindexLast5Year":143,"hindex":143},{"2015":101,"2016":102,"2017":103,"2018":104,"2019":105,"2020":106,"2021":107,"2022":108,"2023":109},{"2014":113,"2015":114,"2016":115,"2017":116,"2018":117,"2019":118,"2020":119,"2021":120,"2022":121,"2023":122},{"2014":125,"2015":126,"2016":127,"2017":128,"2018":129,"2019":130,"2020":131,"2021":132},{"2014":135,"2015":136,"2016":137,"2017":138,"2018":139,"2019":140,"2020":141,"2021":142},{"volume":456,"pages":457},{"VOID":275},{"VOID":458},"100044",{"id":460,"createTime":461,"updateTime":462,"relativeEntities":463,"slug":464,"properties":465,"entityType":161,"verifyStatus":162,"verifyTime":462,"verifyNote":163,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":474,"fullTextUrl":18,"authors":475,"publicationType":244,"publisherRelationship":506,"citationCount":18,"citationInfo":18,"publishDate":539,"publishYear":540,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":280},"adeac974-ae1e-4b0d-916c-ff37316a672c","2024-02-19T23:47:14.901+00:00","2024-12-28T23:50:21.834+00:00",[],"The-phylogeny-of-francolins-Francolinus-Dendroperdix-Peliperdix-and-Scleroptila-and-spurfowls-Pternistis-based-on-chick-plumage-Galliformes-Phasianidae-",{"references":466,"abstract":468,"title":470,"doi":472},{"VOID":467},"Berruti A. The AGRED guide to gamebird management in South Africa. Houghton: AGRED; 2011.\nBertelli S, Norberto PG, Golobof PA. A phylogeny of the tinamous (Aves: Palaeognathiformes) based on integumentary characters. Syst Biol. 2002;51:959–79.\nBloomer P, Crowe TM. Francolin phylogenetics: molecular, morphobehavioral, and combined evidence. Mol Phylogenet Evol. 1998;9:236–54.\nCaro T. Antipredator deception in terrestrial vertebrates. Curr Zool. 2014;60:16–25.\nCrowe TM, Little RM. Francolins, partridges and spurfowls: what’s in a name? Ostrich. 2004;75:199–203.\nCrowe TM, Keith GS, Brown LH. Galliformes in birds of Africa, vol. ii. London: Academic Press; 1986.\nCrowe TM, Harley EH, Jakutowicz MB, Komen J, Crowe AA. Phylogenetic, taxonomic and biogeographical implications of genetic, morphological, and behavioural variation in francolins (Phasianidae: Francolinus). Auk. 1992;109:24–42.\nCrowe TM, Bowie RCK, Bloomer P, Mandiwana TG, Hedderson TAJ, Randi E, Pereira SL, Wakeling J. Phylogenetics, biogeography and classification of, and character evolution in, gamebirds (Aves: Galliformes): Effects of character exclusion, data partitioning and missing data. Cladistics. 2006;22:1–38.\nFelsenstein J. Confidence limits on phylogenies: an approach using the Bootstrap. Evolution. 1985;39:783–91.\nFrost PGH. The systematic position of the Madagascan Partridge Magaroperdix madagascariensis (Scopoli). Bull Br Ornithol Club. 1975;95:64–8.\nGill F, Donsker D, editors. IOC world bird list (v 7.2); 2017. https:\u002F\u002Fdoi.org\u002F10.14344\u002Fioc.ml.7.2.\nHall BP. The francolins, a study in speciation. Bull Br Mus. 1963;10:107–204.\nJehl JR. The colour patterns of downy young ratites and tinamous. Trans Soc Nat Hist San Diego. 1971;16:291–302.\nJohnsgard PA. Molts and plumages. Grouse and quails of North America. Papers in the Biological Sciences. Lincoln: University of Nebraska; 2008.\nKomen J. Preliminary observations of the social patterns, behaviour and vocalisation of Hartlaub’s Francolin. S Afr J Wildl Res Suppl. 1987;1:82–6.\nLewis PO. A likelihood approach to estimating phylogeny from discrete morphological character data. Syst Biol. 2001;50:913–25.\nLittle R. Terrestrial gamebirds & snipes of Africa. Johannesburg: Jacana Media; 2016.\nLittle RM, Crowe TM. The use of morphometrics and development of plumage in estimating the growth patterns and age of greywing francolin Francolinus africanus. Ostrich. 1992;63:172–9.\nLittle R, Crowe T. Gamebirds of Southern Africa. Cape Town: Struik; 2011.\nLivezey BC. A phylogenetic analysis and classification of recent dabbling ducks (tribe Anatini) based on comparative morphology. Auk. 1991;108:471–507.\nMaddison DR. The discovery and importance of multiple islands of most parsimonious trees. Syst Biol. 1991;40:315–28.\nMaddison WP and Maddison DR. Mesquite: a modular system for 3.2. http:\u002F\u002Fmesquiteproject.org. 2017. Accessed 11 Sept 2017.\nMadge S, McGowan P. Pheasants, partridges and grouse. London: Christopher Helm; 2002.\nMandiwana-Neudani TG, Kopuchian C, Louw G, Crowe TM. A study of gross morphological and histological syringeal features of true francolins (Galliformes: Francolinus, Scleroptila, Peliperdix and Dendroperdix spp.) and spurfowls (Pternistis spp.) in a phylogenetic context. Ostrich. 2011;82:115–27.\nMandiwana-Neudani TG, Bowie RCK, Hausberger M, Henry LM, Crowe TM. Taxonomic and phylogenetic utility of variation in advertising calls of francolins and spurfowls (Galliformes: Phasianidae). Afr Zool. 2014;49:54–82.\nMerilaita S, Lind J. Background-matching and disruptive coloration, and the evolution of cryptic coloration. Proc R Soc B. 2005;2005(272):665–70.\nMills MG, Patterson LB. Not just white and black: pigment pattern development and evolution in vertebrate. Semin Cell Dev Biol. 2009;20:72–81.\nMilstein P le S, Wolff SW. The oversimplification of our francolins. S Afr J Wildl Res. 1987;1:58–65.\nPaxton EH. The utility of plumage coloration for taxonomic and ecological studies. Open Ornithol J. 2009;2:17–23.\nPeichel CL. Genetics of phenotypic evolution. In: Losos J, editor. Guide to evolution. Princeton: Princeton University Press; 2014. p. 452–7.\nShort LL Jr. A review of the genera of grouse (Aves, Tetraoninae). American Museum novitates; No. 2289. New York: American Museum of Natural History; 1967.\nStevens M, Merilaita S. Animal camouflage: current issues and new perspectives. Phil Trans R Soc B. 2008;364:423–7.\nSwofford DL. PAUP*: analysis using parsimony. Version 4. Sunderland: Sinaeur Associates; 2002.\nVan Niekerk JH. Vocal structure behaviour and partitioning of all 23 Pternistis spp. into homologous sound (and monophyletic) groups. Chin Birds. 2013;4:210–31.\nVázquez DP, Gittleman JL. Biodiversity conservation: does phylogeny matter? Curr Biol. 1998;8:379–81.\nWhetherbee DK. Natal plumages and downy pteryloses of passerine birds of North America. Bull Am Mus Nat Hist. 1957;113:343–436.",{"EN":469},"This paper describes the chick plumage of spurfowl (Pternistis) and francolin (Francolinus, Dendroperdix, Peliperdix and Scleroptila) chicks, tests its significance for phylogenetic relationships and also explores the patterns of character evolution in the francolin and spurfowl lineages. Previously regarded as monophyletic, the two evolutionarily distant clades are now divided into five genera. Questions considered were whether chick plumage supports the dichotomy between spurfowls and francolins and what role habitat matching plays. The study was based mainly on photographs of chick skins from the American Museum of Natural History and the Natural History Museum at Tring. Eight plumage characters were selected for comparative scoring, summarised in a matrix. These characters were subsequently analysed phylogenetically and their evolution was traced on the existing molecular phylogeny using a parsimony approach. Based on chick plumage the phylogeny of species groups among francolins and spurfowls, was largely unresolved possibly ascribed to a high degree of symplesiomorphy inherent among the Phasianids. This possibly could have resulted in a high degree of polytomy particularly among the spurfowls and francolins. Furthermore, the ancestral state reconstructions revealed high prevalence of symplesiomorphic states and reversals which do not help in the classification of groups. Although the differences are described that separate some African francolins from spurfowls, other francolins (in Asia and Africa) share remarkably similar characteristics with spurfowls. Plain dark dorsal plumage is probably advantageous for avoiding detection by predators in forests, while facial stripes optimise the breaking of body shapes in dense grass cover (as in Scleroptila spp.) and semi-striped faces are advantageous for stationary camouflage under tree and bush cover (as in Pternistis spp.). Although symplesiomorphy is a hereditary explanation for downy colours and patterns, the traits relevant for habitat matching are combined in a manner which is determined (adaptation) by natural selection.",{"EN":471},"The phylogeny of francolins (Francolinus, Dendroperdix, Peliperdix and Scleroptila) and spurfowls (Pternistis) based on chick plumage (Galliformes: Phasianidae)",{"VOID":473},"10.1186\u002Fs40657-017-0093-2","https:\u002F\u002Favianres.biomedcentral.com\u002Farticles\u002F10.1186\u002Fs40657-017-0093-2",[476,491],{"id":477,"sortIndex":168,"researcher":18,"roles":478,"affiliations":479,"properties":488},"14cf7d0b-26d9-4b4c-b90d-7e706a4c1632",[170],[480],{"id":18,"sortIndex":19,"affiliation":481,"properties":18},{"id":482,"createTime":483,"updateTime":483,"relativeEntities":484,"slug":18,"properties":485,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"ebdfa44d-5a22-4ace-8c3f-ea30f73a7ce0","2023-12-19T07:08:26.899+00:00",[],{"title":486},{"VI":487},"Department of Biodiversity, University of Limpopo, Sovenga, South Africa",{"title":489},{"VI":490},"Tshifhiwa G. Mandiwana-Neudani",{"id":492,"sortIndex":19,"researcher":18,"roles":493,"affiliations":494,"properties":503},"77719058-fdbe-4923-857f-9e3558038404",[170],[495],{"id":18,"sortIndex":19,"affiliation":496,"properties":18},{"id":497,"createTime":498,"updateTime":498,"relativeEntities":499,"slug":18,"properties":500,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"3568e03a-9a09-4cf4-b98c-fd5b8ebceb6f","2024-02-19T23:47:14.924+00:00",[],{"title":501},{"VI":502},"Department of Environmental Sciences, College of Agriculture and Environmental Science, University of South Africa, Pretoria, South Africa",{"title":504},{"VI":505},"Johann H. van Niekerk",{"url":474,"publisher":507,"properties":534},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":508,"slug":10,"properties":509,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":512,"manageAffiliations":513,"indexDatabases":514,"url":18,"thumbnailPath":18,"statistic":529,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"eissn":510,"title":511},{"VOID":13},{"EN":15},[],[],[515,522],{"id":81,"indexDatabase":516,"url":96,"indexYears":18,"academicFieldIds":521,"indexDatabaseRanking":18},{"id":83,"createTime":84,"updateTime":85,"relativeEntities":517,"label":518,"description":519,"key":92,"publicationTags":520,"standard":18},[],{"EN":88,"VI":88},{"VI":90,"EN":91},[94,95],[98],{"id":61,"indexDatabase":523,"url":74,"indexYears":75,"academicFieldIds":528,"indexDatabaseRanking":79},{"id":63,"createTime":64,"updateTime":65,"relativeEntities":524,"label":525,"description":526,"key":71,"publicationTags":527,"standard":18},[],{"EN":68,"VI":68},{"EN":68,"VI":70},[73],[77,78],{"impactFactor":19,"impactFactorByYear":530,"i10Index":110,"i10IndexLast5Year":48,"totalPublication":111,"totalPublicationByYear":531,"totalCitation":123,"totalCitationByYear":532,"totalCitationPerPublication":133,"totalCitationPerPublicationByYear":533,"hindexLast5Year":143,"hindex":143},{"2015":101,"2016":102,"2017":103,"2018":104,"2019":105,"2020":106,"2021":107,"2022":108,"2023":109},{"2014":113,"2015":114,"2016":115,"2017":116,"2018":117,"2019":118,"2020":119,"2021":120,"2022":121,"2023":122},{"2014":125,"2015":126,"2016":127,"2017":128,"2018":129,"2019":130,"2020":131,"2021":132},{"2014":135,"2015":136,"2016":137,"2017":138,"2018":139,"2019":140,"2020":141,"2021":142},{"volume":535,"pages":537},{"VOID":536},"9",{"VOID":538},"1-18","2018-01-08",2018,{"id":542,"createTime":543,"updateTime":543,"relativeEntities":544,"slug":18,"properties":545,"entityType":161,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":554,"fullTextUrl":18,"authors":555,"publicationType":244,"publisherRelationship":646,"citationCount":18,"citationInfo":18,"publishDate":679,"publishYear":680,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":280},"4b2d2387-6fcc-4565-b982-829d2f26a2bb","2023-12-19T23:41:44.548+00:00",[],{"references":546,"abstract":548,"title":550,"doi":552},{"VOID":547},"Akcakaya HR, Sjögren-Gulve P. 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Evol Appl. 2018;11:2040–53.",{"EN":549},"One of the most challenging tasks in wildlife conservation and management is clarifying which and how external and intrinsic factors influence wildlife demography and long-term viability. The wild population of the Crested Ibis (Nipponia nippon) has recovered to approximately 4400, and several reintroduction programs have been carried out in China, Japan and Korea. Population viability analysis on this endangered species has been limited to the wild population, showing that the long-term population growth is restricted by the carrying capacity and inbreeding. However, gaps in knowledge of the viability of the reintroduced population and its drivers in the release environment impede the identification of the most effective population-level priorities for aiding in species recovery. The field monitoring data were collected from a reintroduced Crested Ibis population in Ningshan, China from 2007 to 2018. An individual-based VORTEX model (Version 10.3.5.0) was used to predict the future viability of the reintroduced population by incorporating adaptive patterns of ibis movement in relation to catastrophe frequency, mortality and sex ratio. The reintroduced population in Ningshan County is unlikely to go extinct in the next 50 years. The population size was estimated to be 367, and the population genetic diversity was estimated to be 0.97. Sensitivity analysis showed that population size and extinction probability were dependent on the carrying capacity and sex ratio. The carrying capacity is the main factor accounting for the population size and genetic diversity, while the sex ratio is the primary factor responsible for the population growth trend. A viable population of the Crested Ibis can be established according to population viability analysis. Based on our results, conservation management should prioritize a balanced sex ratio, high-quality habitat and low mortality.",{"EN":551},"Can we reestablish a self-sustaining population? 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Physiol., 79, 105, 10.1007\u002FBF00697766\nMontoya, 2010, Synchronization of daily rhythms of locomotor activity and plasma glucose, cortisol and thyroid hormones to feeding in Gilthead seabream (Sparus aurata) under a light-dark cycle, Physiol. Behav., 101, 101, 10.1016\u002Fj.physbeh.2010.04.019\nMosher, 1978, Falcon temperature regulation, Auk, 95, 80, 10.2307\u002F4085497\nOshima, 1989, Pineal and retinal melatonin is involved in the control of circadian locomotor activity and body temperature rhythms in the pigeon, J. Comp. Physiol., 166, 217\nPandey, 2011, Circadian and seasonal responses in Indian weaver bird: subjective interpretation of day and night depends upon both light intensity and contrast between illuminations, Chronobiol. Int., 28, 758, 10.3109\u002F07420528.2011.603873\nPlano, 2017, Circadian and metabolic effects of light: implications in weight homeostasis and health, Front. Neurol., 8, 558, 10.3389\u002Ffneur.2017.00558\nPorcu, 2018, Photoperiod-induced neuroplasticity in the circadian system, Neural Plast, 2018, 10.1155\u002F2018\u002F5147585\nPrabhat, 2020, Developmental effects of constant light on circadian behaviour and gene expressions in zebra finches: insights into mechanisms of metabolic adaptation to aperiodic environment in diurnal animals, J. Photochem. Photobiol. B, 211, 10.1016\u002Fj.jphotobiol.2020.111995\nRamkisoensing, 2015, Synchronization of biological clock neurons by light and peripheral feedback systems promotes circadian rhythms and health, Front. Neurol., 6, 128, 10.3389\u002Ffneur.2015.00128\nRavikumar, 1990, Photo refractoriness and its termination in the subtropical house sparrow, Passer domesticus: involvement of circadian rhythm, Chronobiol. Int., 7, 187, 10.3109\u002F07420529009056974\nRefinetti, 1992, The circadian rhythm of body temperature, Physiol. Behav., 51, 613, 10.1016\u002F0031-9384(92)90188-8\nRegas, 1998\nSpoelstra, 2018, Artificial light at night shifts daily activity patterns but not the internal clock in the great tit (Parus major), Proc. Biol. Sci., 285\nStenvers, 2016, Dim light at night disturbs the daily sleep-wake cycle in the rat, Sci. Rep., 6, 10.1038\u002Fsrep35662\nTosini, 1995, Circadian rhythm of body temperature in an ectotherm (Iguana iguana), J. Biol. Rhythm., 10, 248, 10.1177\u002F074873049501000307\nTrivedi, 2005, Differential responses of the photoperiodic clock in two passerine birds possessing a strongly self-sustained circadian system, Chronobiol. Int., 22, 801, 10.1080\u002F07420520500263151\nUnderwood, 1999, Effects of fasting on the circadian body temperature rhythm of Japanese quail, Physiol. Behav., 66, 137, 10.1016\u002FS0031-9384(98)00287-X\nvan Jaarsveld, 2019, Locomotor activity and body temperature rhythms in the Mahali mole-rat (Cryptomys hottentotus mahali): the effect of light and ambient temperature variations, J. Therm. Biol., 79, 24, 10.1016\u002Fj.jtherbio.2018.11.013\nWang, 2022, Seasonal variations in gonad morphology and hypothalamic GnRH-I and GnIH in Eurasian Tree Sparrow, a multi-brooded passerine, Avian Res., 13, 10.1016\u002Fj.avrs.2022.100037\nWest, 2017, Misalignment with the external light environment drives metabolic and cardiac dysfunction, Nat. Commun., 8, 417, 10.1038\u002Fs41467-017-00462-2\nWideman, 2009, Constant light induces alterations in melatonin levels, food intake, feed efficiency, visceral adiposity, and circadian rhythms in rats, Nutr. Neurosci., 12, 233, 10.1179\u002F147683009X423436\nWyse, 2011, Circadian desynchrony and metabolic dysfunction; did light pollution make us fat?, Med. Hypotheses, 77, 1139, 10.1016\u002Fj.mehy.2011.09.023\nYamada, 1988, Loss of the circadian rhythms of locomotor activity, food intake, and plasma melatonin concentration induced by constant bright light in the pigeon (Columba livia), J. Comp. Physiol., 163, 459, 10.1007\u002FBF00604900\nZhang, 2019, Intensity dependent disruptive effects of light at night on activation of the HPG axis of tree sparrows (Passer montanus), Environ. 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Migration routes and strategies in a highly aerial migrant, the common swift Apus apus, revealed by light-level geolocators. PLoS ONE. 2012;7:e41195. https:\u002F\u002Fdoi.org\u002F10.1371\u002Fjournal.pone.0041195.\nBächler E, Hahn S, Schaub M, Arlettaz R, Jenni L, Fox JW, et al. Year-round tracking of small trans-Saharan migrants using light-level geolocators. PLoS ONE. 2010;5:e9566. https:\u002F\u002Fdoi.org\u002F10.1371\u002Fjournal.pone.0009566.\nBates D, Mächler M, Bolker B, Walker S. Fitting linear mixed-effects models using lme4. J Stat Softw. 2014;67:1–48. https:\u002F\u002Fdoi.org\u002F10.18637\u002Fjss.v067.i01.\nBonaparte EB, Ibarra JT, Cockle KL. Conserving nest trees used by cavity-nesting birds from endangered primary Atlantic forest to open farmland: increased relevance of excavated cavities in large dead trees on farms. For Ecol Manag. 2020;475:118440. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foreco.2020.118440.\nBurnham H, Cruz-Bernate L. Parental investment does not directly affect reproductive success in the saffron finch. J Avian Biol. 2020. https:\u002F\u002Fdoi.org\u002F10.1111\u002Fjav.02489.\nBurger J, Niles LJ, Porter RR, Dey AD. Using geolocator data to reveal incubation periods and breeding biology in Red Knots Calidris canutus rufa. Wader Stud Group Bull. 2012;119:26–36. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ajog.2004.10.607.\nCarere C, Alleva E. Sex differences in parental care in the common swift (Apus apus): effect of broad size and nestling age. Can J Zool. 1998;76:1382–7. https:\u002F\u002Fdoi.org\u002F10.1139\u002Fz98-073.\nde Moraes PZ, Diniz P, Macedo RH. Sex-specific effects of predation risk on parental care in a sexually dichromatic Neotropical songbird. J Avian Biol. 2020. https:\u002F\u002Fdoi.org\u002F10.1111\u002Fjav.02483.\nGosbell K, Minton C, Fox J. Geolocators reveal incubation and re-nesting characteristics of Ruddy Turnstones Arenaria interpres and Eastern Curlews Numenius madagascariensis. Wader Stud Group Bull. 2012;119:160–71.\nHedenström A, Klaassen RHG, Åkesson S. Migration of the Little Ringed Plover Charadrius dubius breeding in South Sweden tracked by geolocators. Bird Study. 2013;60:466–74. https:\u002F\u002Fdoi.org\u002F10.1080\u002F00063657.2013.843635.\nHiguchi H, Ozaki K, Fujita G, Minton J, Ueta M, Soma M, et al. Satellite tracking of White-naped Crane migration and the importance of the Korean demilitarized zone. Conserv Biol. 1996;10:806–12. https:\u002F\u002Fdoi.org\u002F10.1046\u002Fj.1523-1739.1996.10030806.x.\nLi P, Martin TE. Nest-site selection and nesting success of cavity-nesting birds in high elevation forest drainages. Auk. 1991;108:405–18. https:\u002F\u002Fdoi.org\u002F10.1093\u002Fauk\u002F108.2.405.\nLisovski S, Hewson CM, Klaassen RHG, Korner-Nievergelt F, Kristensen MW, Hahn S. Geolocation by light: accuracy and precision affected by environmental factors. Methods Ecol Evol. 2012;3:603–12. https:\u002F\u002Fdoi.org\u002F10.1111\u002Fj.2041-210X.2012.00185.x.\nMartin TE. Evolutionary determinants of clutch size in cavity-nesting birds: nest predation or limited breeding opportunities? Am Nat. 1993;142:937–46. https:\u002F\u002Fdoi.org\u002F10.1086\u002F285582.\nMartin TE, Li P. Life history traits of open-vs. cavity-nesting birds. Ecology. 1992;73:579–92. https:\u002F\u002Fdoi.org\u002F10.2307\u002F1940764.\nR Core Team. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. 2020. https:\u002F\u002Fwww.R-project.org\u002F.\nvan de Hoek Y, Gaona GV, Martin K. The diversity, distribution and conservation status of the tree-cavity-nesting birds of the world. Divers Distrib. 2017;23:1120–31. https:\u002F\u002Fdoi.org\u002F10.1111\u002Fddi.12601.\nVerhoeven MA, Loonstra AHJ, McBride AD, Macias P, Kaspersma W, Hooijmeijer JCEW, et al. Geolocators lead to better measures of timing and renesting in black-tailed godwits and reveal the bias of traditional observational methods. J Avian Biol. 2020;51:e02259. https:\u002F\u002Fdoi.org\u002F10.1111\u002Fjav.02259.\nWang XT. The primary study on the ecology of “Beijing Swifts” in Lanzhou. Bull Biol. 1958;7:15–8 (in Chinese).",{"EN":844},"The Beijing Swift (Apus apus pekinensis) is a typical cavity-nesting bird that often nests inside holes and crevices in old architectures. Direct observation of their breeding behaviour is challenging and their breeding ecology is thus poorly studied. In this study, we analysed light-level geolocation data collected from six Beijing Swifts for the first time. Our results showed that geolocators can make comprehensive inference of their incubation period and behaviour. As a cost-effective and non-invasive method, geolocators can not only facilitate discovering migration routes, but also can be widely applied in the study of avian reproductive behaviour, especially in cavity-nesting bird species. We further discussed the characteristics and merits of this method and compared with other conventional nest-monitoring methods in recording birds.",{"EN":846},"Using light-level geolocations to monitor incubation behaviour of a cavity-nesting bird Apus apus pekinensis",{"VOID":848},"10.1186\u002Fs40657-021-00245-w","https:\u002F\u002Favianres.biomedcentral.com\u002Farticles\u002F10.1186\u002Fs40657-021-00245-w",[851,866,878],{"id":852,"sortIndex":168,"researcher":18,"roles":853,"affiliations":854,"properties":863},"e77453bd-cc21-4d52-ba0c-f1317357c1e2",[170],[855],{"id":18,"sortIndex":19,"affiliation":856,"properties":18},{"id":857,"createTime":858,"updateTime":858,"relativeEntities":859,"slug":18,"properties":860,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"6c15be5f-3120-4bb6-bc7d-23f70bfd235f","2024-01-20T07:09:00.187+00:00",[],{"title":861},{"VI":862},"State Key Laboratory of Biocontrol, School of Ecology\u002FSchool of Life Sciences, Sun Yat-Sen University, Guangzhou, China",{"title":864},{"VI":865},"Yanyan Zhao",{"id":867,"sortIndex":221,"researcher":18,"roles":868,"affiliations":869,"properties":875},"74be6e6d-17aa-4c79-abc7-c0c892e4cf65",[170],[870],{"id":18,"sortIndex":19,"affiliation":871,"properties":18},{"id":857,"createTime":858,"updateTime":858,"relativeEntities":872,"slug":18,"properties":873,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":874},{"VI":862},{"title":876},{"VI":877},"Yang Liu",{"id":879,"sortIndex":19,"researcher":18,"roles":880,"affiliations":881,"properties":887},"d07f6d91-c686-41cd-a232-5c59f0fec16f",[170],[882],{"id":18,"sortIndex":19,"affiliation":883,"properties":18},{"id":857,"createTime":858,"updateTime":858,"relativeEntities":884,"slug":18,"properties":885,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":886},{"VI":862},{"title":888},{"VI":889},"Xiao Huang",{"url":849,"publisher":891,"properties":918},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":892,"slug":10,"properties":893,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":896,"manageAffiliations":897,"indexDatabases":898,"url":18,"thumbnailPath":18,"statistic":913,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"eissn":894,"title":895},{"VOID":13},{"EN":15},[],[],[899,906],{"id":81,"indexDatabase":900,"url":96,"indexYears":18,"academicFieldIds":905,"indexDatabaseRanking":18},{"id":83,"createTime":84,"updateTime":85,"relativeEntities":901,"label":902,"description":903,"key":92,"publicationTags":904,"standard":18},[],{"EN":88,"VI":88},{"VI":90,"EN":91},[94,95],[98],{"id":61,"indexDatabase":907,"url":74,"indexYears":75,"academicFieldIds":912,"indexDatabaseRanking":79},{"id":63,"createTime":64,"updateTime":65,"relativeEntities":908,"label":909,"description":910,"key":71,"publicationTags":911,"standard":18},[],{"EN":68,"VI":68},{"EN":68,"VI":70},[73],[77,78],{"impactFactor":19,"impactFactorByYear":914,"i10Index":110,"i10IndexLast5Year":48,"totalPublication":111,"totalPublicationByYear":915,"totalCitation":123,"totalCitationByYear":916,"totalCitationPerPublication":133,"totalCitationPerPublicationByYear":917,"hindexLast5Year":143,"hindex":143},{"2015":101,"2016":102,"2017":103,"2018":104,"2019":105,"2020":106,"2021":107,"2022":108,"2023":109},{"2014":113,"2015":114,"2016":115,"2017":116,"2018":117,"2019":118,"2020":119,"2021":120,"2022":121,"2023":122},{"2014":125,"2015":126,"2016":127,"2017":128,"2018":129,"2019":130,"2020":131,"2021":132},{"2014":135,"2015":136,"2016":137,"2017":138,"2018":139,"2019":140,"2020":141,"2021":142},{"volume":919,"pages":920},{"VOID":676},{"VOID":921},"1-6","2021-03-06",{"id":924,"createTime":925,"updateTime":926,"relativeEntities":927,"slug":928,"properties":929,"entityType":161,"verifyStatus":162,"verifyTime":926,"verifyNote":163,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":938,"fullTextUrl":18,"authors":939,"publicationType":244,"publisherRelationship":1058,"citationCount":18,"citationInfo":18,"publishDate":1090,"publishYear":680,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":280},"bd754f2c-7e11-4312-a7f2-b20897d16c6e","2024-01-20T13:16:53.012+00:00","2025-02-04T22:52:23.637+00:00",[],"Performance-comparison-of-different-microbial-DNA-extraction-methods-on-bird-feces",{"references":930,"abstract":932,"title":934,"doi":936},{"VOID":931},"Berlow M, Kohl KD, Derryberry EP. Evaluation of non-lethal gut microbiome sampling methods in a passerine bird. Ibis. 2020;162:911–23.\nBolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, Al-Ghalith GA, et al. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat Biotechnol. 2019;8:852–7.\nBurin G, Kissling WD, Guimarães PR, Şekercioğlu ÇH, Quental TB. Omnivory in birds is a macroevolutionary sink. Nat Commun. 2016;7:1–10.\nCostea PI, Zeller G, Sunagawa S, Pelletier E, Alberti A, Levenez F, et al. Towards standards for human fecal sample processing in metagenomic studies. Nat Biotechnol. 2017;35:1069–76.\nDarwin C. The origin of species. 6th ed. London: John Murray Press; 1859.\nDeJong TM. A comparison of three diversity indices based on their components of richness and evenness. Oikos. 1975;26:222–7.\nDeSantis TZ, Hugenholtz P, Keller K, Brodie EL, Larsen N, Piceno YM, et al. NAST: a multiple sequence alignment server for comparative analysis of 16SrRNA genes. Nucleic Acids Res. 2006;34:394–9.\nDi Rienzi SC, Britton RA. Adaptation of the gut microbiota to modern dietary sugars and sweeteners. Adv Nutr. 2020;11:616–29.\nEriksson P, Mourkas E, González-Acuna D, Olsen B, Ellström P. Evaluation and optimization of microbial DNA extraction from fecal samples of wild Antarctic bird species. Infect Ecol Epidemiol. 2017;7:1386536.\nFiedorová K, Radvanský M, Němcová E, Grombiříková H, Bosák J, Černochová M, et al. The impact of DNA extraction methods on stool bacterial and fungal microbiota community recovery. Front Microbiol. 2019;10:821.\nFuertes A, Pérez-Burillo S, Apaolaza I, Vallès Y, Francino MP, Rufián-Henares JÁ, et al. Adaptation of the human gut microbiota metabolic network during the first year after birth. Front Microbiol. 2019;10:848.\nFujimoto S, Nakagami Y, Kojima F. Optimal bacterial DNA isolation method using bead-beating technique. Memoirs Kyushu Univ Dep Of Health Scis Of Medical Sch. 2004;3:33–8.\nGill F, Donsker D. IOC World Bird List (v 6.4). 2016. http:\u002F\u002Fwww.worldbirdnames.org. Accessed 31 Dec 2016.\nHighlander S. Mock community analysis. In: Nelson K, editor. Encyclopedia of metagenomics. New York: Springer Press; 2014. p. 1–7.\nHuseyin CE, Rubio RC, O’Sullivan O, Cotter PD, Scanlan PD. The fungal frontier: a comparative analysis of methods used in the study of the human gut mycobiome. Front Microbiol. 2017;8:1432.\nKnudsen BE, Bergmark L, Munk P, Lukjancenko O, Prieme A, Aarestrup FM, et al. Impact of sample type and DNA isolation procedure on genomics inference of microbiome composition. mSystems. 2016;5:e00095-16.\nLi J, Jia H, Cai X, Zhong H, Feng Q, Sunagawa S, et al. An integrated catalog of reference genes in the human gut microbiome. Nat Biotechnol. 2014;32:834–41.\nLim MY, Song EJ, Kim SH, Lee J, Nam YD. Comparison of DNA extraction methods for human gut microbial community profiling. Syst Appl Microbiol. 2018;41:151–7.\nRintala A, Pietilä S, Munukka E, Eerola E, Pursiheimo JP, Laiho A, et al. Gut microbiota analysis results are highly dependent on the 16SrRNA gene target region, whereas the impact of DNA extraction is minor. JBT. 2017;28:19–30.\nYang N, Yan W, Sun C, Zheng J, Wen C, Ji C, et al. Efficacy of fecal sampling as a gut proxy in the study of chicken gut microbiota. Front Microbiol. 2019;10:2126.",{"EN":933},"As an important player during food digestion, gut microbiota has attracted much attention in diet adaptation studies in birds. Microbiota extracted from feces has been widely used as a proxy for gut microbiota. Although several methods have been developed for microbial DNA extraction, their performances in the bird feces have not been systematacially evaluated yet. In this study, we applied three DNA extraction methods (Qiagen, MoBio and Bead) to extract DNA from feces of three avian dietary guilds (granivore, omnivore and carnivore), sequenced V4 region of 16S rRNA gene for each extract and evaluated the performances of DNA yield, DNA integrity, microbial composition, cell lysis capacity and alpha diversity for the three methods on each dietary guild. Bead method was the best on the performance of both DNA yield and DNA integrity regardless of dietary guild. In granivore, microbial relative abundance at both species and phylum levels, alpha diversity and cell lysis capacity were comparable among all methods. In omnivore, Qiagen had the best performance on alpha diversity, followed by Bead and MoBio. There were small variations on microbial relative abundance at both species and phylum levels among different extraction methods. MoBio exhibited the best performance on cell lysis capacity. In carnivore, considerable variations were found on microbial relative abundance at both species and phylum levels. Qiagen had the best performance on alpha diversity, followed by MoBio and Bead. MoBio had the highest cell lysis capacity. DNA yield and integrity have no obvious impact on microbial composition, alpha diversity or cell lysis capacity. The microbiota results (e.g., microbial composition, cell lysis capacity, alpha diversity) obtained from different methods are comparable in granivorous avian species but not in omnivorous or carnivorous birds. Either method could be used in granivore microbiota studies. For omnivores and carnivores, we recommend Qiagen method when the research purpose is microbial diversity and MoBio when gram-positive bacteria is the research target.",{"EN":935},"Performance comparison of different microbial DNA extraction methods on bird feces",{"VOID":937},"10.1186\u002Fs40657-021-00254-9","https:\u002F\u002Favianres.biomedcentral.com\u002Farticles\u002F10.1186\u002Fs40657-021-00254-9",[940,965,984,1015,1046],{"id":941,"sortIndex":221,"researcher":18,"roles":942,"affiliations":943,"properties":962},"9557235c-c78f-4eb7-867b-ecad136cecee",[170],[944,954],{"id":945,"sortIndex":168,"affiliation":946,"properties":953},"0ab4f0a6-ec60-4aea-b424-c1c9e27a9fc2",{"id":947,"createTime":948,"updateTime":948,"relativeEntities":949,"slug":18,"properties":950,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"224d8036-1851-4486-b0e1-cc17c80bb4dd","2024-01-08T05:00:32.267+00:00",[],{"title":951},{"VI":952},"Cardiff University-Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, Beijing, China",{},{"id":18,"sortIndex":19,"affiliation":955,"properties":18},{"id":956,"createTime":957,"updateTime":957,"relativeEntities":958,"slug":18,"properties":959,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"179c79f3-4519-463b-b284-d3837838d398","2024-01-04T13:59:25.230+00:00",[],{"title":960},{"VI":961},"Key Lab of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China",{"title":963},{"VI":964},"Zhenzhen 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of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China",{"title":1013},{"VI":1014},"Xian 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A, Hackert R, Herbin M, Libourel PA, Lambert F, Gioanni H, et al. Bird terrestrial locomotion as revealed by 3D kinematics. Zoology. 2011;114:360–8.\nAlexander RM. Principles of animal locomotion. Princeton: Princeton University Press; 2003.\nAlexander RM, Jayes AS, Maloiy GMO, Wathuta EM. Allometry of the limb bones of mammals from shrews (Sorex) to elephant (Loxodonta). J Zool. 1979a;189:305–14.\nAlexander RM, Maloiy GMO, Njau R, Jayes AS. Mechanics of running of the ostrich (Struthio camelus). J Zool. 1979b;187:169–78.\nAlexander RM, Ker RF, Bennett MB. Optimum stiffness for leg bones. J Zool. 1990;222:471–8.\nArias-Moreno AJ, Ito K, van Rietbergen B. Accuracy of beam theory for estimating bone tissue modulus and yield stress from 3-point bending tests on rat femora. J Biomech. 2020;101:109654.\nBiewener AA. Bone strength in small mammals and bipedal birds: do safety factors change with body size? J Exp Biol. 1982;98:289–301.\nBiewener AA. Scaling body support in mammals: limb posture and muscle mechanics. Science. 1989;245:45–8.\nBiewener AA. Biomechanical consequences of scaling. J Exp Biol. 2005;208:1665–76.\nBiewener AA, Taylor CR. Bone strain: a determinant of gait and speed? J Exp Biol. 1986;123:383–400.\nBiewener AA, Swartz SM, Bertram JE. Bone modeling during growth: dynamic strain equilibrium in the chick tibiotarsus. Calcif Tissue Int. 1986;39:390–5.\nBishop PJ, Hocknull SA, Clemente CJ, Hutchinson JR, Barrett RS, Lloyd DG. Cancellous bone and theropod dinosaur locomotion Part II—a new approach to inferring posture and locomotor biomechanics in extinct tetrapod vertebrates. PeerJ. 2018;6:e5779.\nCarrier DR. Ontogenetic limits on locomotor performance. Physiol Zool. 1996;69:467–88.\nCarrier DR, Auriemma J. A developmental constraint on the fledging time of birds. Biol J Linn Soc. 1992;47:61–77.\nCarrier DR, Leon LR. Skeletal growth and function in the California gull (Larus californicus). J Zool. 1990;222:375–89.\nCarter DR. Mechanical loading histories and cortical bone remodeling. Calcif Tissue Int. 1984;36(Suppl 1):S19-24.\nCarter DR, Fyhrie DP, Whalen RT. Trabecular bone density and loading history: regulation of connective tissue biology by mechanical energy. J Biomech. 1987;20:785–94.\nClark J, Alexander RM. Mechanics of running by quail (Coturnix). J Zool. 1975;176:87–113.\nCosman MN, Britz HM, Rolian C. Selection for longer limbs in mice increases bone stiffness and brittleness, but does not alter bending strength. J Exp Biol. 2019. https:\u002F\u002Fdoi.org\u002F10.1242\u002Fjeb.203125.\nCracraft JL. The functional morphology of the hind limb of the domestic pigeon, Columba livia. Bull Am Mus Nat Hist. 1971;144:171–268.\nCrawford RP, Cann CE, Keaveny TM. Finite element models predict in vitro vertebral body compressive strength better than quantitative computed tomography. Bone. 2003;33:744–50.\nCurrey JD. What determines the bending strength of compact bone? J Exp Biol. 1999;202:2495–503.\nCurrey JD. Bones: structure and mechanics. Princeton: Princeton University Press; 2002.\nCurrey JD. How well are bones designed to resist fracture. J Bone Miner Res. 2003;18:591–8.\nDial KP, Greene E, Irschick DJ. Allometry of behavior. Trends Ecol Evol. 2008;23:394–401.\nDoblaré M, Garcı́a JM, Gómez MJ. Modelling bone tissue fracture and healing: a review. Eng Fract Mech. 2004;71:1809–40.\nDoube M, Kłosowski MM, Arganda-Carreras I, Cordelières FP, Dougherty RP, Jackson JS, et al. BoneJ: free and extensible bone image analysis in ImageJ. Bone. 2010;47:1076–9.\nDumont ER, Grosse IR, Slater GJ. Requirements for comparing the performance of finite element models of biological structures. J Theor Biol. 2009;256:96–103.\nEberle S, Göttlinger M, Augat P. Individual density-elasticity relationships improve accuracy of subject-specific finite element models of human femurs. J Biomech. 2013;46:2152–7.\nErickson GM, Catanese J III, Keaveny TM. Evolution of the biomechanical material properties of the femur. Anat Rec. 2002;268:115–24.\nGatesy SM. Guineafowl hind limb function. I: cineradiographic analysis and speed effects. J Morphol. 1999;240:115–25.\nGere JM. Mechanics of materials. Pacific Grove: Brooks\u002FCole Thomson Learning; 2001.\nGoetz JE, Derrick TR, Pedersen DR, Robinson DA, Conzemius MG, Baer TE, et al. Hip joint contact force in the emu (Dromaius novaehollandiae) during normal level walking. J Biomech. 2008;41:770–8.\nHedenström A, Rosén M. Predator versus prey: on aerial hunting and escape strategies in birds. Behav Ecol. 2001;12:150–6.\nHelgason B, Perilli E, Schileo E, Taddei F, Brynjólfsson S, Viceconti M. Mathematical relationships between bone density and mechanical properties: a literature review. Clin Biomech. 2008;23:135–46.\nHerrel A, Gibb AC. Ontogeny of performance in vertebrates. Physiol Biochem Zool. 2006;79:1–6.\nJepsen KJ, Silva MJ, Vashishth D, Guo XE, van der Meulen MC. Establishing biomechanical mechanisms in mouse models: practical guidelines for systematically evaluating phenotypic changes in the diaphyses of long bones. J Bone Miner Res. 2015;30:951–66.\nMain RP, Biewener AA. Skeletal strain patterns and growth in the emu hindlimb during ontogeny. J Exp Biol. 2007;210:2676–90.\nMorgan EF, Bouxsein ML. Use of finite element analysis to assess bone strength. BoneKEy-Osteovision. 2005;2:8–19.\nOlea G, Hernando A, Lombardo D. Heterochronic events in the ontogeny of Columba livia, Coturnix coturnix and Gallus gallus domesticus. Rev Colomb Cienc Pecu. 2016;29:274–82.\nPelker RR, Friedlaender GE, Markham TC, Panjabi MM, Moen CJ. Effects of freezing and freeze-drying on the biomechanical properties of rat bone. J Orthop Res. 1984;1:405–11.\nRayfield EJ. Finite element analysis and understanding the biomechanics and evolution of living and fossil organisms. Annu Rev Earth Planet Sci. 2007;35:541–76.\nRayfield EJ. What does musculoskeletal mechanics tell us about evolution of form and function in vertebrates? In: Bels V, Whishaw I, editors. Feeding in vertebrates. Berlin: Springer; 2019. p. 45–70.\nRicklefs RE. Adaptation, constraint, and compromise in avian postnatal development. Biol Rev Camb Philos Soc. 1979a;54:269–90.\nRicklefs RE. Patterns of growth in birds. V. A comparative study of development in the starling, common tern, and Japanese quail. Auk. 1979b;96:10–30.\nRuff CB, Holt B, Trinkaus E. Who’s afraid of the big bad Wolff?: “Wolff’s law” and bone functional adaptation. Am J Phys Anthropol. 2006;129:484–98.\nStoessel A, Fischer MS. Comparative intralimb coordination in avian bipedal locomotion. J Exp Biol. 2012;215:4055–69.\nWang L, Wei XS, Liang XX, Zhang ZH. Ontogenetic changes of hindlimb muscle mass in Cabot’s tragopan (Galliformes, Phasianidae) and their functional implications. Anat Rec. 2021. https:\u002F\u002Fdoi.org\u002F10.1002\u002Far.24609.\nWei X, Zhang Z. Ontogenetic changes of geometrical and mechanical characteristics of the avian femur: a comparison between precocial and altricial birds. J Anat. 2019;235:903–11.\nWen Z, Zheng G. Artificial raising and breeding of Cabot’s Tragopan (Tragopan caboti). Chin J Zool. 1998;33:22–7 (in Chinese).",{"EN":1101},"As the major load-bearing structures, bones exhibit various properties related to mechanical performance to adapt to different locomotor intensities. The habits and ontogenetic changes of locomotion in animals can, thus, be explored by assessing skeletal mechanical performance. In this study, we investigated the growing femoral mechanical performance in an ontogenetic series of Cabot’s Tragopans (Tragopan caboti) and Pigeons (Columba livia domestica). Micro-computed tomography-based finite element analysis was conducted to evaluate the stress, strain, and strain energy density (SED) of femora under axial and radial loading. Femora deflected medio-laterally and dorso-ventrally under axial and radial loading, respectively. Femora deformed and tensed more severely under radial loading than axial loading. In adult individuals, Cabot’s Tragopans had lower strain and SED than pigeons. During ontogeny, the strain and SED of pigeons decreased sharply, while Cabot’s Tragopans showed moderately change. The structural properties of hatchling pigeons are more robust than those of hatchling Cabot’s Tragopans. Limb postures have dominant effect on skeletal deformation. The erect posture is preferred by large mammals and birds to achieve a high safety factor of bones during locomotion. Adult Cabot’s Tragopans have stronger femora than pigeons, reflecting a better bone adaption to the terrestrial locomotion of the studied pheasant species. Changes in strain and SED during growth reflect the marked difference in locomotor ability between precocial and altricial hatchlings. The femora of hatchling Cabot’s Tragopans were built with better energy efficiency than deformation resistance, enabling optimized mechanical performance. In contrast, although weak in mechanical function at the time of hatching, pigeon femora were suggested to be established with a more mature structural design as a prerequisite for rapid growth. These results will be helpful for studies regarding developmental patterns of fossil avian species.",{"EN":1103},"Femoral mechanical performance of precocial and altricial birds: a simulation study",{"VOID":1105},"10.1186\u002Fs40657-021-00253-w","https:\u002F\u002Favianres.biomedcentral.com\u002Farticles\u002F10.1186\u002Fs40657-021-00253-w",[1108,1125],{"id":1109,"sortIndex":168,"researcher":18,"roles":1110,"affiliations":1111,"properties":1122},"a97b650c-c0e7-49b7-a5a0-c7c4b0ffeb0f",[170],[1112],{"id":18,"sortIndex":19,"affiliation":1113,"properties":18},{"id":1114,"createTime":1115,"updateTime":1116,"relativeEntities":1117,"slug":1118,"properties":1119,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"4b397707-8fac-4876-8951-2a06d5aa05d1","2024-02-18T05:30:08.368+00:00","2024-09-25T07:41:07.924+00:00",[],"College-of-Life-Sciences-Capital-Normal-University-Beijing-China",{"title":1120},{"VI":1121},"College of Life Sciences, Capital Normal University, Beijing, China",{"title":1123},{"VI":1124},"Zihui Zhang",{"id":1126,"sortIndex":19,"researcher":18,"roles":1127,"affiliations":1128,"properties":1134},"9bb2c55c-bbcb-4aed-ae52-260147d68b64",[170],[1129],{"id":18,"sortIndex":19,"affiliation":1130,"properties":18},{"id":1114,"createTime":1115,"updateTime":1116,"relativeEntities":1131,"slug":1118,"properties":1132,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":1133},{"VI":1121},{"title":1135},{"VI":1136},"Xinsen Wei",{"url":1106,"publisher":1138,"properties":1165},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1139,"slug":10,"properties":1140,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":1143,"manageAffiliations":1144,"indexDatabases":1145,"url":18,"thumbnailPath":18,"statistic":1160,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"eissn":1141,"title":1142},{"VOID":13},{"EN":15},[],[],[1146,1153],{"id":81,"indexDatabase":1147,"url":96,"indexYears":18,"academicFieldIds":1152,"indexDatabaseRanking":18},{"id":83,"createTime":84,"updateTime":85,"relativeEntities":1148,"label":1149,"description":1150,"key":92,"publicationTags":1151,"standard":18},[],{"EN":88,"VI":88},{"VI":90,"EN":91},[94,95],[98],{"id":61,"indexDatabase":1154,"url":74,"indexYears":75,"academicFieldIds":1159,"indexDatabaseRanking":79},{"id":63,"createTime":64,"updateTime":65,"relativeEntities":1155,"label":1156,"description":1157,"key":71,"publicationTags":1158,"standard":18},[],{"EN":68,"VI":68},{"EN":68,"VI":70},[73],[77,78],{"impactFactor":19,"impactFactorByYear":1161,"i10Index":110,"i10IndexLast5Year":48,"totalPublication":111,"totalPublicationByYear":1162,"totalCitation":123,"totalCitationByYear":1163,"totalCitationPerPublication":133,"totalCitationPerPublicationByYear":1164,"hindexLast5Year":143,"hindex":143},{"2015":101,"2016":102,"2017":103,"2018":104,"2019":105,"2020":106,"2021":107,"2022":108,"2023":109},{"2014":113,"2015":114,"2016":115,"2017":116,"2018":117,"2019":118,"2020":119,"2021":120,"2022":121,"2023":122},{"2014":125,"2015":126,"2016":127,"2017":128,"2018":129,"2019":130,"2020":131,"2021":132},{"2014":135,"2015":136,"2016":137,"2017":138,"2018":139,"2019":140,"2020":141,"2021":142},{"volume":1166,"pages":1167},{"VOID":676},{"VOID":1168},"1-12","2021-04-24",{"id":1171,"createTime":1172,"updateTime":1172,"relativeEntities":1173,"slug":18,"properties":1174,"entityType":161,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":1183,"fullTextUrl":18,"authors":1184,"publicationType":244,"publisherRelationship":1242,"citationCount":18,"citationInfo":18,"publishDate":1274,"publishYear":1275,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":280},"200c1e55-c4f1-4e98-b7bb-d06d8a487bb3","2024-01-26T22:48:52.925+00:00",[],{"references":1175,"abstract":1177,"title":1179,"doi":1181},{"VOID":1176},"Abbott CE. Bone repair in ducks. Auk. 1943;60:447 (plus Plate 12).\nAbourachid A. Kinematic parameters of terrestrial locomotion in cursorial (ratites), swimming (ducks), and striding birds (quail and guinea fowl). Comp Biochem Physiol A. 2001;131:113–9.\nAlexander RM. Optimum strengths for bones liable to fatigue and accidental fracture. J Theor Biol. 1984;109:621–36.\nAlexander RM. A theory of mixed chains applied to safety factors in biological systems. J Theor Biol. 1997;184:247–52.\nAtherton S, Brothwell D, David R, McKnight L. A healed femoral fracture of Threkiornis aethiopicus (Sacred Ibis) from the animal cemetery at Abydos, Egypt. Int J Paleopathol. 2012;2:45–7.\nBennett RA, Kuzma AB. Fracture management in birds. J Zoo Wildl Med. 1992;23:5–38.\nBergman G. Der Steinwälzer, Arenaria i. interpres (L.), in seiner Beziehung zur Umwelt. Acta Zool Fennica. 1946;47:1–151.\nBrandwood A, Jayes AS, Alexander RM. Incidence of healed fracture in the skeletons of birds, molluscs and primates. J Zool Lond. 1986;208:55–62.\nDillon OW. Recovery of a crippled Gadwall. Auk. 1961;78:273–4.\nGatesy SM. Guineafowl hind limb function. I: cineradiographic analysis and speed effects. J Morphol. 1999;240:115–25.\nGatesy SM, Biewener AA. Bipedal locomotion: effects of speed, size and limb posture in birds and humans. J Zool Lond. 1991;224:127–47.\nGoodman SM, Glynn C. Comparative rates of natural osteological disorders in a collection of Paraguayan birds. J Zool Lond. 1988;214:167–77.\nHouston DC. The incidence of healed fractures to wing bones of White-backed and Rüppell’s Griffon vultures (Gyps africanus and G. rueppelli) and other birds. Ibis. 1993;135:468–75.\nHudson GE. Studies on the muscles of the pelvic appendage in birds. Am Midl Nat. 1937;18:1–108.\nKambic RE, Roberts TJ, Gatesy SM. Long-axis rotation: a missing degree of freedom in avian bipedal locomotion. J Exp Biol. 2014;217:2770–82.\nLambrecht K. Handbuch der Palaeornithologie. Berlin: Gebrüder Borntraeger; 1933.\nLidauer RM. Knochenfrakturen bei Stadtamseln (Turdus merula). Ökol Vögel. 1983;5:111–26.\nMlíkovský J, Lukáš J. Osteological disorders in late Pleistocene birds from the Schusterlucke, Lower Austria. Ann Nat Mus Wien. 1991;92:101–3.\nNudds RL, Gardiner JD, Tickle PG, Codd JR. Energetics and kinematics of walking in the barnacle goose (Branta leucopsis). Comp Biochem Physiol A. 2010;156:318–24.\nNyakatura JA, Andrada E, Grimm N, Weise H, Fischer MS. Kinematics and center of mass mechanics during terrestrial locomotion in northern Lapwings (Vanellus vanellus, Charadriiformes). J Exp Zool. 2012;317A:580–94.\nParmalee PW. Avian bone pathologies from Arikara sites in South Dakota. Wilson Bull. 1977;89:628–32.\nReichert J, Schellenberg J, Schubert P, Wilke T. 3D scanning as a highly precise, reproducible, and minimally invasive method for surface area and volume measurements of scleractinian corals. Limnol Oceanogr Methods. 2016;14:518–26.\nReichert J, Backes AR, Schubert P, Wilke T. The power of 3D fractal dimensions for comparative shape and structural complexity analyses of irregularly shaped organisms. Methods Ecol Evol. 2017. doi:10.1111\u002F2041-210X.12829.\nReilly SM. Locomotion in the quail (Coturnix japonica): the kinematics of walking and increasing speed. J Morphol. 2000;243:173–85.\nRoggemann H. Untersuchungen über die Heilung von Knochenbrüchen bei Vögeln. Zeitschr Wiss Zool. 1930;137:627–86.\nRubenson J, Heliams DB, Lloyd DG, Fournier PA. Gait selection in the ostrich: mechanical and metabolic characteristics of walking and running with and without an aerial phase. Proc R Soc Lond B. 2004;271:1091–9.\nSerjeantson D. Birds. Cambridge: Cambridge University Press; 2009.\nStoessel A, Fischer MS. Comparative intralimb coordination in avian bipedal locomotion. J Exp Biol. 2012;215:4055–69.\nStolpe M. Physiologisch-anatomische Untersuchungen über die hintere Extremität der Vögel. J Ornithol. 1932;80:161–247.\nTasnádi-Kubacska A. Paläopathologie. Pathologie der vorzeitlichen Tiere. Jena: Gustav Fischer Verlag; 1962.\nTiemeier OW. Repaired bone injuries in birds. Auk. 1941;58:350–9.\nTully TN. Basic avian bone growth and healing. Vet Clin N Am Exotic Anim Pract. 2002;5:23–30.\nTully TN, Martin GS, Haynes PF, Cornick-Seahorn J, Pechman RD. Tarsometatarsal sequestration in an Emu (Dromaius novaehollandiae) and an Ostrich (Struthio camelus). J Zoo Wildl Med. 1996;27:550–6.\nWood HB. Fractures among birds. Bird Band. 1941;12:68–72.\nWortmann B. Zur biologischen Anatomie der Hinterextremität von Limikolen. Zeitschr Wiss Zool. 1972;183:253–349.",{"EN":1178},"Bone fracture frequencies and survival rates are essential parameters in skeleton evolution, but information on the functional consequences of naturally healed fractures is scarce. No leg bone fracture healing in the wild has been reported so far from long-legged Charadriiformes (waders), which depend on bipedal locomotion for feeding. We documented a healed but malaligned tarsometatarsus fracture in a wild Willet (Tringa [Catoptrophorus] semipalmata), and a malaligned tibiotarsus fracture in a Curlew (Numenius arquata) skeleton from a museum collection. Functional consequences of the malalignments were evaluated by kinematic analyses of videos (Willet) and in silico 3D modeling (Curlew). The Willet’s left tarsometatarsus exhibited an angular malalignment of 70°, resulting in a limping gait that was less pronounced at high than at low walking speed. The bird seemed unable to club the toes of the left foot together, apparently a secondary effect of the deformity. The Curlew’s tibiotarsus showed an angular and an axial malalignment, causing the foot to rotate outwards when the intertarsal joint was flexed. Despite the severe effects of their injuries, the birds had survived at least long enough for the fractures to heal completely. Somewhat unexpectedly, leg fractures are not necessarily fatal in long-legged waders, even if deformities occur in the healing process. Bipedal locomotion on vegetated grounds must have been impeded due to the bone malalignments in both analyzed cases. The birds probably alleviated the impact of their handicaps by shifting a larger proportion of their activities to vegetation-free habitats.",{"EN":1180},"Waders (Scolopacidae) surviving despite malaligned leg fractures in the wild: kinematics of bipedal locomotion",{"VOID":1182},"10.1186\u002Fs40657-017-0082-5","https:\u002F\u002Favianres.biomedcentral.com\u002Farticles\u002F10.1186\u002Fs40657-017-0082-5",[1185,1200,1212,1227],{"id":1186,"sortIndex":19,"researcher":18,"roles":1187,"affiliations":1188,"properties":1197},"e23b521e-fe6b-4e5b-96c6-8dad938a78d3",[170],[1189],{"id":18,"sortIndex":19,"affiliation":1190,"properties":18},{"id":1191,"createTime":1192,"updateTime":1192,"relativeEntities":1193,"slug":18,"properties":1194,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"c362f6c9-8658-427e-9d14-94b2ab0a299a","2023-12-13T07:37:00.945+00:00",[],{"title":1195},{"VI":1196},"Department of Animal Ecology and Systematics, Justus Liebig University, Giessen, Germany",{"title":1198},{"VI":1199},"Jessica Reichert",{"id":1201,"sortIndex":221,"researcher":18,"roles":1202,"affiliations":1203,"properties":1209},"b95825e6-cd98-4da6-80ac-3b499c4fee72",[170],[1204],{"id":18,"sortIndex":19,"affiliation":1205,"properties":18},{"id":1191,"createTime":1192,"updateTime":1192,"relativeEntities":1206,"slug":18,"properties":1207,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":1208},{"VI":1196},{"title":1210},{"VI":1211},"Thomas Wilke",{"id":1213,"sortIndex":187,"researcher":18,"roles":1214,"affiliations":1215,"properties":1224},"d261d71c-b1b3-4084-946c-6342702601f4",[170],[1216],{"id":18,"sortIndex":19,"affiliation":1217,"properties":18},{"id":1218,"createTime":1219,"updateTime":1219,"relativeEntities":1220,"slug":18,"properties":1221,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"9e6c07f9-1ab6-4d2e-aed5-717d66ea0f09","2024-01-13T05:03:25.790+00:00",[],{"title":1222},{"VI":1223},"School of Biological Science, Washington State University, Pullman, USA",{"title":1225},{"VI":1226},"Winfried S. Peters",{"id":1228,"sortIndex":168,"researcher":18,"roles":1229,"affiliations":1230,"properties":1239},"b2290f86-1172-42a8-9a9f-2fee335d171a",[170],[1231],{"id":18,"sortIndex":19,"affiliation":1232,"properties":18},{"id":1233,"createTime":1234,"updateTime":1234,"relativeEntities":1235,"slug":18,"properties":1236,"entityType":47,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"485c19aa-48d7-4782-a843-a855b204eb19","2024-01-26T22:48:52.963+00:00",[],{"title":1237},{"VI":1238},"Ornithology Section, Senckenberg Research Institute and Natural History Museum, Frankfurt, Germany",{"title":1240},{"VI":1241},"Gerald Mayr",{"url":1183,"publisher":1243,"properties":1270},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1244,"slug":10,"properties":1245,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":1248,"manageAffiliations":1249,"indexDatabases":1250,"url":18,"thumbnailPath":18,"statistic":1265,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"eissn":1246,"title":1247},{"VOID":13},{"EN":15},[],[],[1251,1258],{"id":81,"indexDatabase":1252,"url":96,"indexYears":18,"academicFieldIds":1257,"indexDatabaseRanking":18},{"id":83,"createTime":84,"updateTime":85,"relativeEntities":1253,"label":1254,"description":1255,"key":92,"publicationTags":1256,"standard":18},[],{"EN":88,"VI":88},{"VI":90,"EN":91},[94,95],[98],{"id":61,"indexDatabase":1259,"url":74,"indexYears":75,"academicFieldIds":1264,"indexDatabaseRanking":79},{"id":63,"createTime":64,"updateTime":65,"relativeEntities":1260,"label":1261,"description":1262,"key":71,"publicationTags":1263,"standard":18},[],{"EN":68,"VI":68},{"EN":68,"VI":70},[73],[77,78],{"impactFactor":19,"impactFactorByYear":1266,"i10Index":110,"i10IndexLast5Year":48,"totalPublication":111,"totalPublicationByYear":1267,"totalCitation":123,"totalCitationByYear":1268,"totalCitationPerPublication":133,"totalCitationPerPublicationByYear":1269,"hindexLast5Year":143,"hindex":143},{"2015":101,"2016":102,"2017":103,"2018":104,"2019":105,"2020":106,"2021":107,"2022":108,"2023":109},{"2014":113,"2015":114,"2016":115,"2017":116,"2018":117,"2019":118,"2020":119,"2021":120,"2022":121,"2023":122},{"2014":125,"2015":126,"2016":127,"2017":128,"2018":129,"2019":130,"2020":131,"2021":132},{"2014":135,"2015":136,"2016":137,"2017":138,"2018":139,"2019":140,"2020":141,"2021":142},{"volume":1271,"pages":1273},{"VOID":1272},"8",{"VOID":1089},"2017-09-04",2017]