Data from: Food availability and predation risk, rather than intrinsic attributes are the main factors shaping the reproductive decisions of a long-lived predator ...
Deciphering the causes of variation in reproductive success is a fundamental issue in ecology, as the number of offspring produced is an important driver of individual fitness and population dynamics. Little is known however, about how different factors interact to drive variation in reproduction, s...
Main Authors: | , , , , |
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Format: | Dataset |
Language: | English |
Published: |
Dryad
2017
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Subjects: | |
Online Access: | https://dx.doi.org/10.5061/dryad.6n579 https://datadryad.org/stash/dataset/doi:10.5061/dryad.6n579 |
Summary: | Deciphering the causes of variation in reproductive success is a fundamental issue in ecology, as the number of offspring produced is an important driver of individual fitness and population dynamics. Little is known however, about how different factors interact to drive variation in reproduction, such as whether an individual's response to extrinsic conditions (e.g. food availability or predation) varies according to its intrinsic attributes (e.g. age, previous allocation of resources towards reproduction). We used 29 years of reproductive data from marked female tawny owls and natural variation in food availability (field vole) and predator abundance (northern goshawk) to quantify the extent to which extrinsic and intrinsic factors interact to influence owl reproductive traits (breeding propensity, clutch size and nest abandonment). Extrinsic and intrinsic factors appeared to interact to affect breeding propensity (which accounted for 83% of the variation in owl reproductive success). Breeding propensity ... : Juvenile surivalThe input file used for the juvenile survival analysis first individual covariate is the standardized connectivity to goshawk nest sites, and the second individual covariate is the standardized distance to the nearest goshawk nest sitefempuli8513CI49andngos.txtTemporal covariates for juvenile survival analysisTemporal covariates for juvenile survival analysis. The first covariate is the standardized autumn vole density, The second is the standardized local goshawk abundance. The third is the standardized total goshawk abundance. The 4th is the interaction between the 1st and 2nd covariates. The 5th is the interaction between the 1st and 3rd covariate.8513autvolelocalgostotalgosi.txtbreeding propensity analysis data filebreeding propensity analysis.pdfClutch size and nest abandonment analysis datafileClutch size and nest abandonment analysis.pdf ... |
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