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USGS · 5221583

Factors affecting waterfowl breeding density and productivity estimates in the Northeast

J. R. Longcore·J.K. Ringelman
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Abstract

During 1977-79, information useful for making breeding pair and brood surveys was obtained while studying black duck (Anas rubripes) habitat selection and productivity in south-central Maine. Surveys should be initiated in relation to sunrise and sunset time. Morning versus evening counts, familiarity with the survey area, wetland dynamics of the study area, wetland surface water area, and allotment of relative survey effort are discussed as they affect the conduct and results of brood surveys.

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Transactions of the Northeast Section of the Wildlife Society, Annual Fish and Wildlife ConferenceArticle

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BibTeXRIS

J. R. Longcore, J.K. Ringelman. 1980. Factors affecting waterfowl breeding density and productivity estimates in the Northeast. https://pubs.usgs.gov/publication/5221583

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USGS1980

Computer simulation models as tools for identifying research needs: A black duck population model

Existing data on the mortality and production rates of the black duck (Anas rubripes) were used to construct a WATFIV computer simulation model. The yearly cycle was divided into 8 phases: hunting, wintering, reproductive, molt, post-molt, and juvenile dispersal mortality, and production from original and renesting attempts. The program computes population changes for sex and age classes during each phase. After completion of a standard simulation run with all variable default values in effect, a sensitivity analysis was conducted by changing each of 50 input variables, 1 at a time, to assess the responsiveness of the model to changes in each variable. Thirteen variables resulted in a substantial change in population level. Adult mortality factors were important during hunting and wintering phases. All production and mortality associated with original nesting attempts were sensitive, as was juvenile dispersal mortality. By identifying those factors which invoke the greatest population change, and providing an indication of the accuracy required in estimating these factors, the model helps to identify those variables which would be most profitable topics for future research.

Transactions of the Northeast Section of the Wildl↗