Literature DB >> 19302320

Patterns of mortality for each life-history stage in a population of the endangered New Zealand stitchbird.

Matthew Low1, Tomas Pärt.   

Abstract

1. Using data from 396 breeding attempts over an 8-year period, we investigated age- and stage-specific survival rates and their modifying factors in a closed island population of the New Zealand stitchbird (or hihi, Notiomystis cincta Du Bus). 2. Survival probability generally increased over time; however, at each life-history transition, survival in the new stage started lower than at the end of the previous stage, creating a 'saw-tooth' function of age-related survival. 3. The probability of an egg hatching was low (0.73 +/- 0.01): most likely a consequence of genetic bottlenecks previously endured by this population. There was strong support for a positive relationship between hatching rate and the subsequent survival of the female parent, and hatching success declining for females > 4 years old. 4. Nestling survival probability increased as a function of brood size and days since hatching, and decreased relative to daily maximum ambient temperature and hatching date. Support for models including ambient temperature was greater than for other covariates, with the majority of this temperature-mediated survival effect being restricted to the early nestling stage. 5. Fledglings had low survival rates in the first two weeks after leaving the nest, with post-fledging survival related to the fledgling's mass. Two months after fledging, juvenile survival probability plateaued and remained relatively constant for the following autumn, winter and spring/summer breeding season. There was no effect of sex or season on adult survival probability. However, there was strong support for age-specific variation in adult survival, with survival likelihood increasing during the first four years before showing evidence of a senescence decline. 6. Within-stage survival increases were likely related to stage-specific selection pressures initially weeding out individuals of poorer phenotypes for the environment specific to each life-history stage. Such a mechanism explains the initial high mortality at life-history transitions; a well-adapted phenotype for one stage may not necessarily be so well adapted for subsequent stages. These patterns are not only valuable for examining life-history theory, but also for understanding the regulation of vital rates in an endangered species and providing a basis from which better population management models and harvesting regimes can be derived.

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Year:  2009        PMID: 19302320     DOI: 10.1111/j.1365-2656.2009.01543.x

Source DB:  PubMed          Journal:  J Anim Ecol        ISSN: 0021-8790            Impact factor:   5.091


  9 in total

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2.  Climate and weather have differential effects in a high latitude passerine community.

Authors:  Jeremy D Mizel; Joshua H Schmidt; Carol L Mcintyre
Journal:  Oecologia       Date:  2021-01-13       Impact factor: 3.225

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4.  Rainfall during parental care reduces reproductive and survival components of fitness in a passerine bird.

Authors:  Meit Öberg; Debora Arlt; Tomas Pärt; Ane T Laugen; Sönke Eggers; Matthew Low
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5.  Equal nonbreeding period survival in adults and juveniles of a long-distant migrant bird.

Authors:  Martin U Grüebler; Fränzi Korner-Nievergelt; Beat Naef-Daenzer
Journal:  Ecol Evol       Date:  2014-02-17       Impact factor: 2.912

6.  Contrasting patterns of larval mortality in two sympatric riverine fish species: a test of the critical period hypothesis.

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Journal:  PLoS One       Date:  2014-10-09       Impact factor: 3.240

7.  Unhatched eggs represent the invisible fraction in two wild bird populations.

Authors:  Nicola Hemmings; Simon Evans
Journal:  Biol Lett       Date:  2020-01-08       Impact factor: 3.703

8.  Determinants of male floating behaviour and floater reproduction in a threatened population of the hihi (Notiomystis cincta).

Authors:  Patricia Brekke; John G Ewen; Gemma Clucas; Anna W Santure
Journal:  Evol Appl       Date:  2015-07-28       Impact factor: 5.183

9.  Estimation of chimpanzee age based on DNA methylation.

Authors:  Hideyuki Ito; Toshifumi Udono; Satoshi Hirata; Miho Inoue-Murayama
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  9 in total

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