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Journal articles on the topic 'Life-history data'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Juan-Jordá, Maria José, Iago Mosqueira, Juan Freire, Elena Ferrer-Jordá, and Nicholas K. Dulvy. "Global scombrid life history data set." Ecology 97, no. 3 (2016): 809. http://dx.doi.org/10.1890/15-1301.1.

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2

Eerola, Mervi, and Satu Helske. "Statistical analysis of life history calendar data." Statistical Methods in Medical Research 25, no. 2 (2012): 571–97. http://dx.doi.org/10.1177/0962280212461205.

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3

Mesquita, Daniel O., Guarino R. Colli, Gabriel C. Costa, et al. "Life history data of lizards of the world." Ecology 96, no. 2 (2015): 594. http://dx.doi.org/10.1890/14-1453.1.

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4

McGraw, James B., and Hal Caswell. "Estimation of Individual Fitness from Life-History Data." American Naturalist 147, no. 1 (1996): 47–64. http://dx.doi.org/10.1086/285839.

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5

Patrick, Wesley S., Jason M. Cope, and James T. Thorson. "Validating and Improving Life History Data in FishBase." Fisheries 39, no. 4 (2014): 173–76. http://dx.doi.org/10.1080/03632415.2014.891504.

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6

Vaupel, James W. "Relatives' risks: Frailty models of life history data." Theoretical Population Biology 37, no. 1 (1990): 220–34. http://dx.doi.org/10.1016/0040-5809(90)90037-v.

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7

Munholland, Patricia L., and John D. Kalbfleisch. "A Semi-Markov Model for Insect Life History Data." Biometrics 47, no. 3 (1991): 1117. http://dx.doi.org/10.2307/2532663.

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8

Johnson, Devin S., Ronald P. Barry, and R. Terry Bowyer. "ESTIMATING TIMING OF LIFE-HISTORY EVENTS WITH COARSE DATA." Journal of Mammalogy 85, no. 5 (2004): 932–39. http://dx.doi.org/10.1644/bfw-009.

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9

Scott, Marc A., Kaushik Mohan, and Jacques‐Antoine Gauthier. "Model‐based clustering and analysis of life history data." Journal of the Royal Statistical Society: Series A (Statistics in Society) 183, no. 3 (2020): 1231–51. http://dx.doi.org/10.1111/rssa.12575.

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10

Kalbfleisch, John D., and Jianguo Sun. "Missouri workshop on methods for life history data analysis." Lifetime Data Analysis 16, no. 2 (2010): 155–56. http://dx.doi.org/10.1007/s10985-010-9155-z.

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11

Jivraj, Stephen, Alissa Goodman, George B. Ploubidis, and Cesar de Oliveira. "Testing Comparability Between Retrospective Life History Data and Prospective Birth Cohort Study Data." Journals of Gerontology: Series B 75, no. 1 (2017): 207–17. http://dx.doi.org/10.1093/geronb/gbx042.

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Abstract Objectives To determine whether comparable prospective and retrospective data present the same association between childhood and life course exposures and mid-life wellbeing. Method Prospective data is taken from the 1958 UK National Child Development Study at age 50 in 2008 and earlier sweeps (n = 8,033). Retrospective data is taken from the English Longitudinal Study of Ageing at ages 50–55 from a life history interview in 2007 (n = 921). Results There is a high degree of similarity in the direction of association between childhood exposures that have been prospectively collected in

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12

Kyoung Hee Ma and soonmi lee. "Life History Calendar as a Methodology of Data Collecting for Life Course Research." Locality and Globality: Korean Journal of Social Sciences 36, no. 2 (2012): 271–92. http://dx.doi.org/10.33071/ssricb.36.2.201212.271.

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13

Hartzog, Molly. "Life Out of Sequence: A Data-Driven History of Bioinformatics." Science & Technology Studies 27, no. 3 (2014): 118–20. http://dx.doi.org/10.23987/sts.55320.

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14

Horswill, Cat, Andrea Manica, Francis Daunt, et al. "Improving assessments of data‐limited populations using life‐history theory." Journal of Applied Ecology 58, no. 6 (2021): 1225–36. http://dx.doi.org/10.1111/1365-2664.13863.

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15

Freedman, Deborah, Arland Thornton, Donald Camburn, Duane Alwin, and Linda Young-DeMarco. "The Life History Calendar: A Technique for Collecting Retrospective Data." Sociological Methodology 18 (1988): 37. http://dx.doi.org/10.2307/271044.

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16

Leonelli, Sabina. "Life out of sequence: a data-driven history of bioinformatics." New Genetics and Society 35, no. 4 (2015): 416–18. http://dx.doi.org/10.1080/14636778.2015.1025127.

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17

Chen, Pai-Lien, and Pranab Kumar Sen. "A piecewise transition model for analyzing multistate life history data." Journal of Statistical Planning and Inference 78, no. 1-2 (1999): 385–400. http://dx.doi.org/10.1016/s0378-3758(98)00226-2.

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18

Mix, Lucas John. "Philosophy and data in astrobiology." International Journal of Astrobiology 17, no. 2 (2017): 189–200. http://dx.doi.org/10.1017/s1473550417000192.

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AbstractCreating a unified model of life in the universe – history, extent and future – requires both scientific and humanities research. One way that humanities can contribute is by investigating the relationship between philosophical commitments and data. Making those commitments transparent allows scientists to use the data more fully. Insights in four areas – history, ethics, religion and probability – demonstrate the value of careful, astrobiology-specific humanities research for improving how we talk and think about astrobiology as a whole. First, astrobiology has a long and influential

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19

Borries, Carola, Adam D. Gordon, and Andreas Koenig. "Beware of Primate Life History Data: A Plea for Data Standards and a Repository." PLoS ONE 8, no. 6 (2013): e67200. http://dx.doi.org/10.1371/journal.pone.0067200.

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20

Rudd, Merrill B., James T. Thorson, and Skyler R. Sagarese. "Ensemble models for data-poor assessment: accounting for uncertainty in life-history information." ICES Journal of Marine Science 76, no. 4 (2019): 870–83. http://dx.doi.org/10.1093/icesjms/fsz012.

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Abstract Length measurements from fishery catch can be used in data-limited assessments to estimate important population parameters to guide management, but results are highly sensitive to assumptions about biological information. Ideally, local life history studies inform biological parameters. In the absence of reliable local estimates, scientists and managers face the difficult task of agreeing on fixed values for life-history parameters, often leading to additional uncertainty unquantified in the assessment or indecision defaulting to status-quo management. We propose an ensemble approach

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21

Charruau, Pierre, Aníbal H. Díaz de la Vega Pérez, and Fausto R. Méndez de la Cruz. "Reptiles of Banco Chinchorro: Updated List, Life History Data, and Conservation." Southwestern Naturalist 60, no. 4 (2015): 299–312. http://dx.doi.org/10.1894/0038-4909-60.4.299.

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22

임장혁. "Systematization of Data on Japanese life history and its Building Archives." 영남학 ll, no. 14 (2008): 129–62. http://dx.doi.org/10.36034/yncdoi.2008..14.129.

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23

Oli, Madan K. "Hamilton goes empirical: estimation of inclusive fitness from life-history data." Proceedings of the Royal Society of London. Series B: Biological Sciences 270, no. 1512 (2003): 307–11. http://dx.doi.org/10.1098/rspb.2002.2227.

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24

Yu, Yue, Emily J. Smith, and Carter T. Butts. "Retrospective Network Imputation from Life History Data: The Impact of Designs." Sociological Methodology 50, no. 1 (2020): 131–67. http://dx.doi.org/10.1177/0081175020905624.

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Retrospective life history designs are among the few practical approaches for collecting longitudinal network information from large populations, particularly in the context of relationships like sexual partnerships that cannot be measured via digital traces or documentary evidence. While all such designs afford the ability to “peer into the past” vis-à-vis the point of data collection, little is known about the impact of the specific design parameters on the time horizon over which such information is useful. In this article, we investigate the effect of two different survey designs on retros

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25

Hirsch, Gertrude. "Biography and teacher identity: a typological analysis of life‐history data." International Journal of Qualitative Studies in Education 6, no. 1 (1993): 67–83. http://dx.doi.org/10.1080/0951839930060106.

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26

Benton, Michael J., and Rebecca Hitchin. "Congruence between phylogenetic and stratigraphic data on the history of life." Proceedings of the Royal Society of London. Series B: Biological Sciences 264, no. 1383 (1997): 885–90. http://dx.doi.org/10.1098/rspb.1997.0123.

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27

Strier, Karen B., Jeanne Altmann, Diane K. Brockman, et al. "The Primate Life History Database: a unique shared ecological data resource." Methods in Ecology and Evolution 1, no. 2 (2010): 199–211. http://dx.doi.org/10.1111/j.2041-210x.2010.00023.x.

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28

Munholland, Patricia L., and Brian Dennis. "Biological Aspects of a Stochastic Model for Insect Life History Data." Environmental Entomology 21, no. 6 (1992): 1229–38. http://dx.doi.org/10.1093/ee/21.6.1229.

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29

Arrigoni, Massimo, Piero Manfredi, Simone Panigada, Lorenzo Bramanti, and Giovanni Santangelo. "Life-history tables of the Mediterranean fin whale from stranding data." Marine Ecology 32 (April 2011): 1–9. http://dx.doi.org/10.1111/j.1439-0485.2011.00437.x.

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30

Banks, James, Agar Brugiavini, and Giacomo Pasini. "The powerful combination of cross-country comparisons and life-history data." Journal of the Economics of Ageing 16 (June 2020): 100206. http://dx.doi.org/10.1016/j.jeoa.2019.100206.

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31

Roberts, Miles, and Frank Kohn. "A technique for obtaining early life history data in pouched marsupials." Zoo Biology 10, no. 1 (1991): 81–86. http://dx.doi.org/10.1002/zoo.1430100111.

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32

Manu, Mieke Yen, Friandry W. Thoomaszen, and Asri Tanggu Hana. "Life History Study on Witchcraft Victims." Analisa: Journal of Social Science and Religion 9, no. 1 (2024): 57–74. http://dx.doi.org/10.18784/analisa.v9i1.2106.

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This study aimed to investigate the stories of witchcraft victims in depth. With the case study method in the form of a life history study, research data is reported using thematic analysis to answer research questions. The source of the research data is an informant who is domiciled in the city of Kupang and fits the criteria that have been established. Christian theology provides the primary basis for discussing the research results, while psychology contributes as a complementary viewpoint. The findings indicated that the informants are subjected to a physical ailment accompanied by psychol

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33

Grimm, Annegret, Ramírez Ana María Prieto, Sylvain Moulherat, Julie Reynaud, and Klaus Henle. "Life-history trait database of European reptile species." Nature Conservation 9 (December 19, 2014): 45–67. https://doi.org/10.3897/natureconservation.9.8908.

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Life-history data are essential for providing answers to a wide range of questions in evolution, ecology, and conservation biology. While life history data for many species, especially plants, are available online, life history traits of European reptiles are available only widely scattered in different languages and primarily in printed media. For this reason, we generated a comprehensive trait database covering all European reptile species. Data were compiled by searching the peer-reviewed and non-peer-reviewed literature. The database covers the whole of Europe and neighbouring Asian and Af

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34

Doolittle, W. Ford. "Biochemical Evolution and the History of Life." Short Courses in Paleontology 1 (1988): 138–45. http://dx.doi.org/10.1017/s2475263000000738.

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Molecular biology has contributed to the construction of the neoDarwinian synthesis, as it is articulated in the 1980's, in two ways. First, it has provided a nearly complete understanding of the processes of DNA replication and expression, and mutation. We know in detail how genotypes are passed on and how random mutation can provide the variation which must be present in populations if natural selection is to “cause” evolution. (We do not yet understand in detail how genotype determines phenotype in any complex multicellular organism, but there is probably no barrier other than complexity in

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35

Herwig, Jade N., Martial Depczynski, John D. Roberts, Jayson M. Semmens, Monica Gagliano, and Andrew J. Heyward. "Using Age-Based Life History Data to Investigate the Life Cycle and Vulnerability of Octopus cyanea." PLoS ONE 7, no. 8 (2012): e43679. http://dx.doi.org/10.1371/journal.pone.0043679.

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36

CASPI, AVSHALOM, TERRIE E. MOFFITT, ARLAND THORNTON, et al. "THE LIFE HISTORY CALENDAR: A RESEARCH AND CLINICAL ASSESSMENT METHOD FOR COLLECTING RETROSPECTIVE EVENT‐HISTORY DATA." International Journal of Methods in Psychiatric Research 6, no. 2 (1996): 101–14. http://dx.doi.org/10.1002/(sici)1234-988x(199607)6:2<101::aid-mpr156>3.3.co;2-e.

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37

Heard, Matthew J. "Using Life History Data to Examine Trade-Offs in Body Size and Reproductive Ability." American Biology Teacher 80, no. 1 (2018): 53–55. http://dx.doi.org/10.1525/abt.2018.80.1.53.

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Life history trade-offs provide an opportunity for students to learn about concepts in ecology, evolutionary biology, and natural history. Here I present a simple activity that I created to help students use data from museums and online life history databases to explore the relationship between body size and reproductive ability in birds. This activity, which guides students in hypothesis development and testing, data collection, and statistical analysis, is applicable to students at the high school and undergraduate levels. In addition, although I focused on birds, this activity can also be a

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38

Coulson, T., T. H. G. Ezard, F. Pelletier, et al. "ESTIMATING THE FUNCTIONAL FORM FOR THE DENSITY DEPENDENCE FROM LIFE HISTORY DATA." Ecology 89, no. 6 (2008): 1661–74. http://dx.doi.org/10.1890/07-1099.1.

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39

PINEDA, H., Y. J. BORRELL, I. MCCARTHY, E. VÁZQUEZ, J. A. SÁNCHEZ, and G. BLANCO. "Timing of first feeding and life-history strategies in salmon: genetic data." Hereditas 139, no. 1 (2003): 41–48. http://dx.doi.org/10.1111/j.1601-5223.2003.01532.x.

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40

Lawson, J. M., S. J. Foster, A. C. O. Lim, V. C. Chong, and A. C. J. Vincent. "Novel life-history data for threatened seahorses provide insight into fishery effects." Journal of Fish Biology 86, no. 1 (2014): 1–15. http://dx.doi.org/10.1111/jfb.12527.

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41

Martínez-Ibarra, J. Alejandro, Tzintli Meraz-Medina, Benjamin Nogueda-Torres, María E. Villagrán-Herrera, and Jose A. de Diego-Cabrera. "Life-History Data of a Mexican Population of Triatoma nitida (Hemiptera: Reduviidae)." Journal of Medical Entomology 57, no. 1 (2019): 33–38. http://dx.doi.org/10.1093/jme/tjz163.

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Abstract This study reports the third collection of Triatoma nitida Usinger in Mexico, with a brief description of the collection area and an investigation of parameters related to its vectorial capacity. Whether a triatomine (Hemiptera: Reduviidae) species is a primary or secondary vector is determined by factors that include vectorial capacity, anthropophilic habits, geographic distribution, and capacity to invade and colonize human dwellings. However, when the primary vectors are removed, secondary vectors, such as T. nitida, can become important transmitters of Trypanosoma cruzi Chagas to

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42

Draye, Xavier, and Frédéric A. Lints. "Geographic variations of life history strategies in Drosophila melanogaster III. New data." Experimental Gerontology 31, no. 6 (1996): 717–33. http://dx.doi.org/10.1016/s0531-5565(96)00073-3.

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43

Gamelon, Marlène, Jean-Michel Gaillard, Olivier Gimenez, Tim Coulson, Shripad Tuljapurkar, and Eric Baubet. "Linking demographic responses and life history tactics from longitudinal data in mammals." Oikos 125, no. 3 (2015): 395–404. http://dx.doi.org/10.1111/oik.02582.

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44

Manzoni, Anna. "In and out of employment: Effects in panel and life-history data." Advances in Life Course Research 17, no. 1 (2012): 11–24. http://dx.doi.org/10.1016/j.alcr.2011.11.001.

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45

Wood, Simon N. "How to Estimate Life History Stage Durations from Stage Structured Population Data." Journal of Theoretical Biology 163, no. 1 (1993): 61–76. http://dx.doi.org/10.1006/jtbi.1993.1107.

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46

Bhat, Mohd Shafi, Anusuya Chinsamy, and John Parkington. "Long bone histology of Chersina angulata : Interelement variation and life history data." Journal of Morphology 280, no. 12 (2019): 1881–99. http://dx.doi.org/10.1002/jmor.21073.

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47

Draye, X., and F.A. Lints. "Geographic variations of life history strategies in Drosophila melanogaster. III. New data." Experimental Gerontology 31 (June 5, 1996): 717–33. https://doi.org/10.5281/zenodo.10742999.

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48

Nadon, Marc O., and Jerald S. Ault. "A stepwise stochastic simulation approach to estimate life history parameters for data-poor fisheries." Canadian Journal of Fisheries and Aquatic Sciences 73, no. 12 (2016): 1874–84. http://dx.doi.org/10.1139/cjfas-2015-0303.

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Coastal fisheries are typically characterized by species-rich catch compositions and limited management resources, which typically leads to notably data-poor situations for stock assessment. Some parsimonious stock assessment approaches rely on cost-efficient size composition data, but these also require estimates of life history parameters associated with natural mortality, growth, and maturity. These parameters are unavailable for most exploited stocks. Here, we present a novel approach that uses a local estimate of maximum length and statistical relationships between key life history parame

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49

McTavish, Emily Jane. "Linking Biodiversity Data Using Evolutionary History." Biodiversity Information Science and Standards 3 (June 21, 2019): e36207. https://doi.org/10.3897/biss.3.36207.

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All life on earth is linked by a shared evolutionary history. Even before Darwin developed the theory of evolution, Linnaeus categorized types of organisms based on their shared traits. We now know these traits derived from these species' shared ancestry. This evolutionary history provides a natural framework to harness the enormous quantities of biological data being generated today. The Open Tree of Life project is a collaboration developing tools to curate and share evolutionary estimates (phylogenies) covering the entire tree of life (Hinchliff et al. 2015, McTavish et al. 2017). The tree

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50

Williams, D. Dudley. "LIFE HISTORY TRAITS OF AQUATIC ARTHROPODS IN SPRINGS." Memoirs of the Entomological Society of Canada 123, S155 (1991): 63–87. http://dx.doi.org/10.4039/entm123155063-1.

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AbstractSprings are especially useful for examining questions related to life history because they are widespread, and because they include not only the most predictable of freshwater habitats but also the most adverse (hot springs). Permanent springs tend to be stable environments, particularly in terms of temperature, discharge, and substrate. Extreme habitats such as hot springs can be ideal for studying biotic responses to environmental features because they vary little in certain factors and so do not conceal the mechanisms at work. This paper reviews the known life history and associated

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