Philosophy:Fecundity
Fecundity is defined in two ways; in human demography, it is the potential for reproduction of a recorded population as opposed to a sole organism, while in population biology, it is considered similar to fertility,[1][2][3] the natural capability to produce offspring,[4] measured by the number of gametes (eggs), seed set, or asexual propagules.
Human demography
Human demography considers only human fecundity, at its culturally differing rates, while population biology studies all organisms. The term fecundity in population biology is often used to describe the rate of offspring production after one time step (often annual). In this sense, fecundity may include both birth rates and survival of young to that time step. While levels of fecundity vary geographically, it is generally a consistent feature of each culture. Fecundation is another term for fertilization.
In obstetrics and gynecology, fecund-ability is the probability of being pregnant in a single menstrual cycle, and fecundity is the probability of achieving a live birth within a single cycle.[5]
Population ecology
In ecology, fecundity is a measure of the reproductive capacity of an individual or population, typically restricted to the reproductive individuals. It can be equally applied to sexual and asexual reproduction, as the purpose of fecundity is to measure how many new individuals are being added to a population.[6] Fecundity may be defined differently for different ecological studies to explain the specific data the study examined. For example, some studies use apparent fecundity to describe that their data looks at a particular moment in time rather than the species' entire life span. In other studies, these definitions are changed to better quantify fecundity for the organism in question. This need is particularly true for modular organisms, as their modular organization differs from the more typical unitary organism, in which fecundity is best defined through a count of offspring.[7]
Life history patterns (parity)
Parity is the organization of fecundity into two distinct types, semelparity, and iteroparity.
Semelparity occurs when an organism reproduces only once in its lifetime, with death being a part of its reproductive strategy. These species produce many offspring during their one reproductive event, giving them a potential advantage when it comes to fecundity, as they are producing more offspring.
Iteroparity is when a species reproduces multiple times over its lifetime. This species' strategy is to protect against the unpredictable survivability of their offspring, in which if their first litter of offspring dies, they can reproduce again and replace the dead offspring. It also allows the organism to care for its offspring, as they will be alive during their development.[8]
Factors affecting fecundity
There are a multitude of factors that potentially affect the rates of fecundity. For example: ontogeny, population density and latitude.
Ontogeny
Fecundity in iteroparous organisms often increases with age but can decline at older ages. Several hypotheses have been proposed to explain this relationship. For species with declining growth rates after maturity, the suggestion is that as the organism's growth rate decreases, more resources can be allocated to reproduction. Other possible explanations exist for this pattern for organisms that do not grow after maturity. These explanations include: increased competence of older individuals; less fit individuals have already died off; or since life expectancy decreases with age, older individuals may allocate more resources to reproduction at the expense of survival.[6] In semelparous species, age is frequently a poor predictor of fecundity. In these cases, size is likely a better predictor.[9]
Population density
Population density is often observed to negatively affect fecundity, making fecundity density-dependent. The reasoning behind this observation is that once an area is overcrowded, fewer resources are available for each individual. Thus there may be insufficient energy to reproduce in high numbers when offspring survival is low. Occasionally high density can stimulate the production of offspring, particularly in plant species, because if there are more plants, there is food to lure pollinators, who will then spread that plant's pollen and allow for more reproduction.[6]
Latitude
There are many different hypotheses to explain the relationship between latitude and fecundity. One claimed that fecundity increases predictably with increasing latitude. Reginald Morean proposed this hypothesis, the explanation being that there is higher mortality in seasonal environments.[citation needed]
A different hypothesis by David Lack attributed the positive relationship to the change in daylight hours found with changing latitudes. These differing daylight hours, in turn, change the hours in which a parent can collect food. He also accounts for a drop in fecundity at the poles due to their extreme amounts of day lengths, which can exhaust the parent.[10]
Fecundity intensity due to seasonality is a hypothesis proposed by Phillip Ashmole. He suggests latitude affects fecundity due to seasonality increasing with increasing latitudes. This theory relies on the mortality concept proposed by Moreau but focuses on how seasonality affects mortality and, in turn, population densities. Thus in places with higher mortality, there is more food availability, leading to higher fecundity. Another hypothesis claims that seasonality affects fecundity due to varying lengths of breeding seasons. This idea suggests that shorter breeding seasons select a larger clutch size to compensate for the reduced reproduction frequency, thus increasing those species' fecundity.[10]
Fecundity and fitness
Fecundity is a significant component of fitness. Fecundity Selection builds on that idea. This idea claims that the genetic selection of traits that increase an organism's fecundity is, in turn, advantageous to an organism's fitness.[10]
Fecundity Schedule
Fecundity Schedules are data tables that display the patterns of birth amongst individuals of different ages in a population. These are typically found in life tables under the columns Fx and mx.
Fx lists the total number of young produced by each age class, and mx is the mean number of young produced, found by finding the number of young produced per surviving individual. For example, if you have 12 individuals in an age class and they produced 16 surviving young, the Fx is 16, and the mx is 1.336.[9]
Infecundity
Infecundity is a term meaning "inability to conceive after several years of exposure to the risk of pregnancy." This usage is prevalent in medicine, especially reproductive medicine, and in demographics. Infecundity would be synonymous with infertility, but in demographic and medical use fertility (and thus its antonym infertility) may refer to quantity and rates of offspring produced, rather than any physiological or other limitations on reproduction.[11]
Additional information
Additionally, social trends and societal norms may influence fecundity, though this influence tends to be temporary. Indeed, it is considered impossible to cease reproduction based on social factors, and fecundity tends to rise after a brief decline.
Fecundity has also been shown to increase in ungulates with relation to warmer weather.[citation needed]
In sexual evolutionary biology, especially in sexual selection, fecundity is contrasted to reproductivity.
See also
References
- ↑ Etienne van de Valle and Louis Henry (1982). "Fecundity". Multilingual demographic dictionary, English section, second edition. Demopaedia.org, International Union for the Scientific Study of Population. p. 621-1. http://en-ii.demopaedia.org/wiki/Fecundity.
- ↑ Eugene Grebenik (1959). "Fecundity". Multilingual demographic dictionary, English section. Prepared by the Demographic Dictionary Committee of the International Union for the Scientific Study of Population. Demopaedia.org, United Nations Department of Economic and Social Affairs (DESA). p. 621-1. http://en-i.demopaedia.org/wiki/Fecundity.
- ↑ Habbema, J.D.F. (2004-07-01). "Towards less confusing terminology in reproductive medicine: a proposal". Human Reproduction (Oxford University Press (OUP)) 19 (7): 1497–1501. doi:10.1093/humrep/deh303. ISSN 1460-2350. PMID 15220305.
- ↑ Zegers-Hochschild, Fernando; Adamson, G. David; Dyer, Silke; Racowsky, Catherine; de Mouzon, Jacques; Sokol, Rebecca; Rienzi, Laura; Sunde, Arne et al. (2017). "The International Glossary on Infertility and Fertility Care, 2017". Fertility and Sterility (Elsevier BV) 108 (3): 393–406. doi:10.1016/j.fertnstert.2017.06.005. ISSN 0015-0282. PMID 28760517.
- ↑ Berek JS and Novak E. Berek & Novak's gynecology. 14th ed. 2007, Philadelphia: Lippincott Williams & Wilkins. Pg. 1186
- ↑ 6.0 6.1 6.2 Bradshaw, C. J. A.; McMahon, C. R. (2008-01-01), Jørgensen, Sven Erik; Fath, Brian D., eds. (in en), Fecundity, Oxford: Academic Press, pp. 1535–1543, ISBN 978-0-08-045405-4, https://www.sciencedirect.com/science/article/pii/B9780080454054006455, retrieved 2022-11-08
- ↑ Ramirez Llodra, Eva (2002-01-01) (in en). Fecundity and life-history strategies in marine invertebrates. Advances in Marine Biology. 43. pp. 87–170. doi:10.1016/S0065-2881(02)43004-0. ISBN 9780120261437. https://www.sciencedirect.com/science/article/abs/pii/S0065288102430040.
- ↑ "4: Semelparity versus Iteroparity" (in en). 2022-01-06. https://bio.libretexts.org/Courses/Gettysburg_College/01%3A_Ecology_for_All/08%3A_Life_Histories/04%3A_Semelparity_versus_Iteroparity.
- ↑ 9.0 9.1 Begon, Michal; Howarth, Robert W.; Townsend, Colin R. (2014). Essentials of Ecology (4th ed.). John Wiley & Sons. pp. 87,132–135. ISBN 9780470909133.
- ↑ 10.0 10.1 10.2 Pincheira-Donoso, Daniel; Hunt, John (February 2017). "Fecundity selection theory: concepts and evidence: Fecundity selection" (in en). Biological Reviews 92 (1): 341–356. doi:10.1111/brv.12232. PMID 26526765. https://onlinelibrary.wiley.com/doi/10.1111/brv.12232.
- ↑ Rutstein, Shea O. and Iqbal H. Shah. 2004. Infecundity, Infertility, and Childlessness in Developing Countries. DHS Comparative Reports No. 9. Calverton, Maryland, USA: ORC Macro and the World Health Organization https://dhsprogram.com/publications/publication-cr9-comparative-reports.cfm
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