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Data from: Estimating demographic contributions to effective population size in an age-structured wild population experiencing environmental
- 负责人：
- Trask, Amanda
- 关键词：
- Conservation genetics Evolutionary potential Life-history variation Population connectivity Population management Iteroparity Reproductive skew
- DOI：
- doi:10.5061/dryad.68kk0
- 摘要：
- e dynamic age-structure. 2.A sophisticated demographic method of estimating Ne/N, which uses Fisher's reproductive value to account for dynamic age
Estimates of walleye abundance for Oneida Lake, NY (1957-2008)
- 负责人：
- 关键词：
- Fish Lakes Community structure Oneida Lake, New York Onondaga County, New York Oswego County, New York Oneida County, New York Madison County, New York Walleye
- DOI：
- doi:10.5063/aa/datastar.14.27
- 摘要：
- 1957 to the present. This dataset reports the CBFS estimates of walleye abundance at different stage and age groups in Oneida Lake. These estimates ar
Estimates of walleye abundance for Oneida Lake, NY (1957-2008)
- 负责人：
- 关键词：
- Fish Lakes Community structure Oneida Lake, New York Onondaga County, New York Oswego County, New York Oneida County, New York Madison County, New York Walleye
- DOI：
- doi:10.5063/aa/datastar.14.1
- 摘要：
- Oneida Lake and spanning 1957 to the present. This dataset reports the CBFS estimates of walleye abundance at different stage and age groups in Oneida Lake
Estimates of walleye abundance for Oneida Lake, NY (1957-2008)
- 负责人：
- 关键词：
- Fish Lakes Community structure Oneida Lake, New York Onondaga County, New York Oswego County, New York Oneida County, New York Madison County, New York Walleye
- DOI：
- doi:10.5063/aa/datastar.14.26
- 摘要：
- 1957 to the present. This dataset reports the CBFS estimates of walleye abundance at different stage and age groups in Oneida Lake. These estimates ar
Estimates of walleye abundance for Oneida Lake, NY (1957-2008)
- 负责人：
- 关键词：
- Fish Lakes Community structure Oneida Lake, New York Onondaga County, New York Oswego County, New York Oneida County, New York Madison County, New York Walleye
- DOI：
- doi:10.5063/aa/datastar.14.22
- 摘要：
- Oneida Lake and spanning 1957 to the present. This dataset reports the CBFS estimates of walleye abundance at different stage and age groups in Oneida Lake
Estimates of walleye abundance for Oneida Lake, NY (1957-2008)
- 负责人：
- 关键词：
- Fish Lakes Community structure Oneida Lake, New York Onondaga County, New York Oswego County, New York Oneida County, New York Madison County, New York Walleye
- DOI：
- doi:10.5063/aa/datastar.14.25
- 摘要：
- 1957 to the present. This dataset reports the CBFS estimates of walleye abundance at different stage and age groups in Oneida Lake. These estimates ar
Estimates of walleye abundance for Oneida Lake, NY (1957-2008)
- 负责人：
- 关键词：
- Fish Lakes Community structure Oneida Lake, New York Onondaga County, New York Oswego County, New York Oneida County, New York Madison County, New York Walleye
- DOI：
- doi:10.5063/aa/datastar.14.23
- 摘要：
- Oneida Lake and spanning 1957 to the present. This dataset reports the CBFS estimates of walleye abundance at different stage and age groups in Oneida Lake
Estimates of walleye abundance for Oneida Lake, NY (1957-2008)
- 负责人：
- 关键词：
- Fish Lakes Community structure Oneida Lake, New York Onondaga County, New York Oswego County, New York Oneida County, New York Madison County, New York Walleye
- DOI：
- doi:10.5063/aa/datastar.14.24
- 摘要：
- Oneida Lake and spanning 1957 to the present. This dataset reports the CBFS estimates of walleye abundance at different stage and age groups in Oneida Lake
Data from: The prevalence of MS in the United States: a population-based estimate using health claims data
- 负责人：
- 关键词：
- DOI：
- doi:10.5061/dryad.pm793v8
- 摘要：
- .6) for men (female:male ratio 2.8). The estimated 2010 prevalence of MS was highest in the 55- to 64-year age group. A US north-south decreasing prevalence gradient
Data from: Epigenetic estimation of age in humpback whales
- 负责人：
- DOI：
- doi:10.5061/dryad.h4b48
- 摘要：
- s to population structure five decades earlier. This is the first epigenetic age estimation method for a wild animal species and the approach we took for developing
