The Experts below are selected from a list of 46245 Experts worldwide ranked by ideXlab platform

Hannah L. Dugdale - One of the best experts on this subject based on the ideXlab platform.

  • age specific Breeding Success in a wild mammalian population selection constraint restraint and senescence
    Molecular Ecology, 2011
    Co-Authors: Hannah L. Dugdale, Lisa C. Pope, Chris Newman, David W. Macdonald, Terry Burke
    Abstract:

    The Selection, Constraint, Restraint and Senescence Hypotheses predict how Breeding Success should vary with age. The Selection Hypothesis predicts between-individual variation arising from quality differences; the other hypotheses predict within-individual variation due to differing skills or physiological condition (Constraint), residual reproductive lifespan (Restraint), or somatic and reproductive investment (Senescence). Studies tend to focus on either the initial increase in Breeding Success or later decrease; however, both require consideration when unravelling the underlying evolutionary processes. Additionally, few studies present genetic fitness measures and rarely for both sexes. We therefore test these four hypotheses, which are not mutually exclusive, in a high-density population of European badgers Meles meles. Using an 18-year data set (including 22 microsatellite loci), we show an initial improvement in Breeding Success with age, followed by a later and steeper rate of reproductive senescence in male than in female badgers. Breeding Success was skewed within age-classes, indicating the influence of factors other than age-class. This was partly attributable to selective appearance and disappearance of badgers (Selection Hypothesis). Individuals with a late age of last Breeding showed a concave-down relationship between Breeding Success and experience (Constraint Hypothesis). There was no evidence of abrupt terminal effects; rather, individuals showed a concave-down relationship between Breeding Success and residual reproductive lifespan (Restraint Hypothesis), with an interaction with age of first Breeding only in female badgers. Our results demonstrate the importance of investigating a comprehensive suite of factors in age-specific Breeding Success analyses, in both sexes, to fully understand evolutionary and population dynamics.

  • Age-specific Breeding Success in a wild mammalian population: selection, constraint, restraint and senescence: AGE-SPECIFIC Breeding Success IN BADGERS
    Molecular Ecology, 2011
    Co-Authors: Hannah L. Dugdale, Lisa C. Pope, Chris Newman, David W. Macdonald, Terry Burke
    Abstract:

    The Selection, Constraint, Restraint and Senescence Hypotheses predict how Breeding Success should vary with age. The Selection Hypothesis predicts between-individual variation arising from quality differences; the other hypotheses predict within-individual variation due to differing skills or physiological condition (Constraint), residual reproductive lifespan (Restraint), or somatic and reproductive investment (Senescence). Studies tend to focus on either the initial increase in Breeding Success or later decrease; however, both require consideration when unravelling the underlying evolutionary processes. Additionally, few studies present genetic fitness measures and rarely for both sexes. We therefore test these four hypotheses, which are not mutually exclusive, in a high-density population of European badgers Meles meles. Using an 18-year data set (including 22 microsatellite loci), we show an initial improvement in Breeding Success with age, followed by a later and steeper rate of reproductive senescence in male than in female badgers. Breeding Success was skewed within age-classes, indicating the influence of factors other than age-class. This was partly attributable to selective appearance and disappearance of badgers (Selection Hypothesis). Individuals with a late age of last Breeding showed a concave-down relationship between Breeding Success and experience (Constraint Hypothesis). There was no evidence of abrupt terminal effects; rather, individuals showed a concave-down relationship between Breeding Success and residual reproductive lifespan (Restraint Hypothesis), with an interaction with age of first Breeding only in female badgers. Our results demonstrate the importance of investigating a comprehensive suite of factors in age-specific Breeding Success analyses, in both sexes, to fully understand evolutionary and population dynamics.

Silke Bauer - One of the best experts on this subject based on the ideXlab platform.

  • identifying drivers of Breeding Success in a long distance migrant using structural equation modelling
    Oikos, 2018
    Co-Authors: Guillaume Souchay, Rien E Van Wijk, Michael Schaub, Silke Bauer
    Abstract:

    In migrant animals, conditions encountered at various times and places through- out their annual cycle may affect Breeding Success. Yet, most studies so far have only investigated the effect of specific parts of the annual cycle, despite the importance to understand how different stages can interact and how these stages compare to intrinsic quality to properly modulate Breeding Success. Using a structural equation model- ling approach, we investigated drivers of Breeding Success (migration cycle, individual quality, Breeding conditions) in hoopoes Upupa epops, a long-distant migrant. Our causal framework explained 75% of the variation in Breeding Success. The effect of the migration schedule was negligible, whereas the previous Breeding attempt strongly influenced current Breeding Success. We suggest that the interplay of individual qual- ity and environmental conditions during both previous and current Breeding season may be more important drivers of Breeding Success than migration schedules, even in a long-distance migrant. We conclude that structural equation modeling is a promising tool to investigate causal relationships. Applied to hoopoes, we demonstrated that cur- rent Breeding Success is strongly linked to previous Breeding Success. Complementary analysis integrating weather and climate conditions during migration and the Breeding season may provide a deeper and wider overview of the annual cycle of hoopoes and additional insights into the existence of carry-over effects in Breeding Success.

  • Identifying drivers of Breeding Success in a long‐distance migrant using structural equation modelling
    Oikos, 2017
    Co-Authors: Guillaume Souchay, Rien E Van Wijk, Michael Schaub, Silke Bauer
    Abstract:

    In migrant animals, conditions encountered at various times and places through- out their annual cycle may affect Breeding Success. Yet, most studies so far have only investigated the effect of specific parts of the annual cycle, despite the importance to understand how different stages can interact and how these stages compare to intrinsic quality to properly modulate Breeding Success. Using a structural equation model- ling approach, we investigated drivers of Breeding Success (migration cycle, individual quality, Breeding conditions) in hoopoes Upupa epops, a long-distant migrant. Our causal framework explained 75% of the variation in Breeding Success. The effect of the migration schedule was negligible, whereas the previous Breeding attempt strongly influenced current Breeding Success. We suggest that the interplay of individual qual- ity and environmental conditions during both previous and current Breeding season may be more important drivers of Breeding Success than migration schedules, even in a long-distance migrant. We conclude that structural equation modeling is a promising tool to investigate causal relationships. Applied to hoopoes, we demonstrated that cur- rent Breeding Success is strongly linked to previous Breeding Success. Complementary analysis integrating weather and climate conditions during migration and the Breeding season may provide a deeper and wider overview of the annual cycle of hoopoes and additional insights into the existence of carry-over effects in Breeding Success.

Terry Burke - One of the best experts on this subject based on the ideXlab platform.

  • age specific Breeding Success in a wild mammalian population selection constraint restraint and senescence
    Molecular Ecology, 2011
    Co-Authors: Hannah L. Dugdale, Lisa C. Pope, Chris Newman, David W. Macdonald, Terry Burke
    Abstract:

    The Selection, Constraint, Restraint and Senescence Hypotheses predict how Breeding Success should vary with age. The Selection Hypothesis predicts between-individual variation arising from quality differences; the other hypotheses predict within-individual variation due to differing skills or physiological condition (Constraint), residual reproductive lifespan (Restraint), or somatic and reproductive investment (Senescence). Studies tend to focus on either the initial increase in Breeding Success or later decrease; however, both require consideration when unravelling the underlying evolutionary processes. Additionally, few studies present genetic fitness measures and rarely for both sexes. We therefore test these four hypotheses, which are not mutually exclusive, in a high-density population of European badgers Meles meles. Using an 18-year data set (including 22 microsatellite loci), we show an initial improvement in Breeding Success with age, followed by a later and steeper rate of reproductive senescence in male than in female badgers. Breeding Success was skewed within age-classes, indicating the influence of factors other than age-class. This was partly attributable to selective appearance and disappearance of badgers (Selection Hypothesis). Individuals with a late age of last Breeding showed a concave-down relationship between Breeding Success and experience (Constraint Hypothesis). There was no evidence of abrupt terminal effects; rather, individuals showed a concave-down relationship between Breeding Success and residual reproductive lifespan (Restraint Hypothesis), with an interaction with age of first Breeding only in female badgers. Our results demonstrate the importance of investigating a comprehensive suite of factors in age-specific Breeding Success analyses, in both sexes, to fully understand evolutionary and population dynamics.

  • Age-specific Breeding Success in a wild mammalian population: selection, constraint, restraint and senescence: AGE-SPECIFIC Breeding Success IN BADGERS
    Molecular Ecology, 2011
    Co-Authors: Hannah L. Dugdale, Lisa C. Pope, Chris Newman, David W. Macdonald, Terry Burke
    Abstract:

    The Selection, Constraint, Restraint and Senescence Hypotheses predict how Breeding Success should vary with age. The Selection Hypothesis predicts between-individual variation arising from quality differences; the other hypotheses predict within-individual variation due to differing skills or physiological condition (Constraint), residual reproductive lifespan (Restraint), or somatic and reproductive investment (Senescence). Studies tend to focus on either the initial increase in Breeding Success or later decrease; however, both require consideration when unravelling the underlying evolutionary processes. Additionally, few studies present genetic fitness measures and rarely for both sexes. We therefore test these four hypotheses, which are not mutually exclusive, in a high-density population of European badgers Meles meles. Using an 18-year data set (including 22 microsatellite loci), we show an initial improvement in Breeding Success with age, followed by a later and steeper rate of reproductive senescence in male than in female badgers. Breeding Success was skewed within age-classes, indicating the influence of factors other than age-class. This was partly attributable to selective appearance and disappearance of badgers (Selection Hypothesis). Individuals with a late age of last Breeding showed a concave-down relationship between Breeding Success and experience (Constraint Hypothesis). There was no evidence of abrupt terminal effects; rather, individuals showed a concave-down relationship between Breeding Success and residual reproductive lifespan (Restraint Hypothesis), with an interaction with age of first Breeding only in female badgers. Our results demonstrate the importance of investigating a comprehensive suite of factors in age-specific Breeding Success analyses, in both sexes, to fully understand evolutionary and population dynamics.

Rien E Van Wijk - One of the best experts on this subject based on the ideXlab platform.

  • identifying drivers of Breeding Success in a long distance migrant using structural equation modelling
    Oikos, 2018
    Co-Authors: Guillaume Souchay, Rien E Van Wijk, Michael Schaub, Silke Bauer
    Abstract:

    In migrant animals, conditions encountered at various times and places through- out their annual cycle may affect Breeding Success. Yet, most studies so far have only investigated the effect of specific parts of the annual cycle, despite the importance to understand how different stages can interact and how these stages compare to intrinsic quality to properly modulate Breeding Success. Using a structural equation model- ling approach, we investigated drivers of Breeding Success (migration cycle, individual quality, Breeding conditions) in hoopoes Upupa epops, a long-distant migrant. Our causal framework explained 75% of the variation in Breeding Success. The effect of the migration schedule was negligible, whereas the previous Breeding attempt strongly influenced current Breeding Success. We suggest that the interplay of individual qual- ity and environmental conditions during both previous and current Breeding season may be more important drivers of Breeding Success than migration schedules, even in a long-distance migrant. We conclude that structural equation modeling is a promising tool to investigate causal relationships. Applied to hoopoes, we demonstrated that cur- rent Breeding Success is strongly linked to previous Breeding Success. Complementary analysis integrating weather and climate conditions during migration and the Breeding season may provide a deeper and wider overview of the annual cycle of hoopoes and additional insights into the existence of carry-over effects in Breeding Success.

  • Identifying drivers of Breeding Success in a long‐distance migrant using structural equation modelling
    Oikos, 2017
    Co-Authors: Guillaume Souchay, Rien E Van Wijk, Michael Schaub, Silke Bauer
    Abstract:

    In migrant animals, conditions encountered at various times and places through- out their annual cycle may affect Breeding Success. Yet, most studies so far have only investigated the effect of specific parts of the annual cycle, despite the importance to understand how different stages can interact and how these stages compare to intrinsic quality to properly modulate Breeding Success. Using a structural equation model- ling approach, we investigated drivers of Breeding Success (migration cycle, individual quality, Breeding conditions) in hoopoes Upupa epops, a long-distant migrant. Our causal framework explained 75% of the variation in Breeding Success. The effect of the migration schedule was negligible, whereas the previous Breeding attempt strongly influenced current Breeding Success. We suggest that the interplay of individual qual- ity and environmental conditions during both previous and current Breeding season may be more important drivers of Breeding Success than migration schedules, even in a long-distance migrant. We conclude that structural equation modeling is a promising tool to investigate causal relationships. Applied to hoopoes, we demonstrated that cur- rent Breeding Success is strongly linked to previous Breeding Success. Complementary analysis integrating weather and climate conditions during migration and the Breeding season may provide a deeper and wider overview of the annual cycle of hoopoes and additional insights into the existence of carry-over effects in Breeding Success.

Michael Schaub - One of the best experts on this subject based on the ideXlab platform.

  • identifying drivers of Breeding Success in a long distance migrant using structural equation modelling
    Oikos, 2018
    Co-Authors: Guillaume Souchay, Rien E Van Wijk, Michael Schaub, Silke Bauer
    Abstract:

    In migrant animals, conditions encountered at various times and places through- out their annual cycle may affect Breeding Success. Yet, most studies so far have only investigated the effect of specific parts of the annual cycle, despite the importance to understand how different stages can interact and how these stages compare to intrinsic quality to properly modulate Breeding Success. Using a structural equation model- ling approach, we investigated drivers of Breeding Success (migration cycle, individual quality, Breeding conditions) in hoopoes Upupa epops, a long-distant migrant. Our causal framework explained 75% of the variation in Breeding Success. The effect of the migration schedule was negligible, whereas the previous Breeding attempt strongly influenced current Breeding Success. We suggest that the interplay of individual qual- ity and environmental conditions during both previous and current Breeding season may be more important drivers of Breeding Success than migration schedules, even in a long-distance migrant. We conclude that structural equation modeling is a promising tool to investigate causal relationships. Applied to hoopoes, we demonstrated that cur- rent Breeding Success is strongly linked to previous Breeding Success. Complementary analysis integrating weather and climate conditions during migration and the Breeding season may provide a deeper and wider overview of the annual cycle of hoopoes and additional insights into the existence of carry-over effects in Breeding Success.

  • Identifying drivers of Breeding Success in a long‐distance migrant using structural equation modelling
    Oikos, 2017
    Co-Authors: Guillaume Souchay, Rien E Van Wijk, Michael Schaub, Silke Bauer
    Abstract:

    In migrant animals, conditions encountered at various times and places through- out their annual cycle may affect Breeding Success. Yet, most studies so far have only investigated the effect of specific parts of the annual cycle, despite the importance to understand how different stages can interact and how these stages compare to intrinsic quality to properly modulate Breeding Success. Using a structural equation model- ling approach, we investigated drivers of Breeding Success (migration cycle, individual quality, Breeding conditions) in hoopoes Upupa epops, a long-distant migrant. Our causal framework explained 75% of the variation in Breeding Success. The effect of the migration schedule was negligible, whereas the previous Breeding attempt strongly influenced current Breeding Success. We suggest that the interplay of individual qual- ity and environmental conditions during both previous and current Breeding season may be more important drivers of Breeding Success than migration schedules, even in a long-distance migrant. We conclude that structural equation modeling is a promising tool to investigate causal relationships. Applied to hoopoes, we demonstrated that cur- rent Breeding Success is strongly linked to previous Breeding Success. Complementary analysis integrating weather and climate conditions during migration and the Breeding season may provide a deeper and wider overview of the annual cycle of hoopoes and additional insights into the existence of carry-over effects in Breeding Success.