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To examine in detail the geographic distribution of reproductive endocrinology and infertility (REI) fellowships in the United States.
The temporal distribution of reproductive opportunities also influenced male monopolization potential.
Specifically, we hypothesized that the ability of males to monopolize access to females is affected by both the spatial distribution of females and the temporal distribution of reproductive opportunities (i.e., the patchiness of females in space and time).
If the temporal distribution of reproductive opportunities affects the number of males in primate groups, then we predicted that the number of males in a group (iii) increases with increasing estrous overlap [10].
Thus, as originally posed by Emlen and Oring [1], both the spatial and temporal distribution of reproductive opportunities determines the ability of males to monopolize access to fertile females.
The spatial distribution of females and the temporal distribution of reproductive opportunities exert a powerful influence upon male reproductive strategies and are key determinants of animal mating and social systems [11].
Similar(32)
To evaluate the geographic distribution of assisted reproductive technology (ART) clinics and the number of ART clinics within U.S. Census metropolitan areas and to estimate the number of reproductive-age women who have geographic access to ART services in the United States.
To describe the spatial distribution of assisted reproductive technology (ART) centers and male infertility specialists by location, driving distance from ART center, and potential male population in need of these resources.
Also in our model, the competitive hierarchy was based on varying the spatial distribution of the reproductive parameter while keeping mortality constant as in [12].
Additional data file 2 shows the distribution of demographic, reproductive, and lifestyle factors in the LACE and Pathways Studies separately.
Women with missing values for educational level were compared to those with such information in terms of their area-level socioeconomic variables, mammographic readings and distribution of anthropometric, reproductive and lifestyle variables.
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