The University of Chicago Models of Status-Correlated Bias in Offspring Sex Ratio Author(s): Michael Altmann and Jeanne Altmann Reviewed work(s): Source: The American Naturalist, Vol. 137, No. 4 (Apr., 1991), pp. 542-555 Published by: The University of Chicago Press for The American Society of Naturalists Stable URL: http://www.jstor.org/stable/2462380 . Accessed: 19/10/2012 15:56 Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at . http://www.jstor.org/page/info/about/policies/terms.jsp . JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected]. . The University of Chicago Press, The American Society of Naturalists, The University of Chicago are collaborating with JSTOR to digitize, preserve and extend access to The American Naturalist. http://www.jstor.org Vol. 137, No. 4 The AmericanNaturalist MODELS OF STATUS-CORRELATED April 1991 BIAS IN OFFSPRING SEX RATIO MICHAEL ALTMANN AND JEANNE ALTMANN Division of Health ComputerSciences, Box 511 UMHC, 420 Delaware StreetSE, Universityof Minnesota, Minneapolis, Minnesota 55455; Departmentof Ecology and Evolution, Universityof Chicago, Chicago, Illinois 60637 and Departmentof ConservationBiology, Chicago Zoological Society, Brookfield,Illinois 60513 SubmittedJuly3, 1989; Accepted January19, 1990 Abstract.-We study a simple model describingthe genealogic structureof a population in varies witha parent'spositionin a social hierarchy.This model whichthe sex ratioof offspring is based on species in which one sex disperses and in whichrank in a stable social hierarchy of thatsex. We findthatbiased productionof forthe othersex is "inherited" by the offspring offspringin such a social systemhas importantimplicationsforgroup-sizeregulation,for the genetic relationshipsamong individualsat any given time and across generations,and for the The general experiencedby a parentand its offspring. disparitybetweenthe social environment model predictsthatgroupsize is tightlyregulatedand thatgroupsize is unstablein groups with mothers.We thenfurtherexamine the particularcase of the underproductionby high-ranking parents. In model in which the nondispersingsex (females) is overproducedby higher-ranking this case, we findthat females are unusuallyclosely related; all females in a group have a commonfemaleancestor5-10 generationsback. Moreover,daughtersof mothersin the middle of the hierarchyexperience the largestintergenerational disparity.In contrastto daughtersof high-and low-rankingfemales,theyoccupy ranksmuch lower thantheirmothers'. Sex biases in offspring productionmayevolve, althoughoverallparentalinvestof the two sexes will be one to one in diploidorganisms(Fisher mentin offspring facultativeadjustmentof offspring sex ratio 1958; Hamilton 1967). Furthermore, ratioswithinpopulations. In the may resultin systematicvariabilityin offspring sex ratios has fobiological literature,attentionon facultativelybiased offspring cused on questions of the ultimateevolutionaryresult(e.g., Triversand Willard 1973; Clark 1978; Clutton-Brocket al. 1981; Clutton-Brockand lason 1986) and, to a lesser extent,on proximatemechanismsthat would produce facultatively biased primarysex ratios(e.g., James1971, 1983; Myers 1978; Myerset al. 1985). efHowever, biased offspringproductionhas several strikingintergenerational fects,and any selective advantage of biased ratios mustpersistover a sufficient numberof generationsforthe evolutionaryconsequences to be realized or maintained. It is surprising,therefore,thatevolutionarymodels of behaviorand social structurerarelyfocus on effectsover the timecourse of several generations,and we know of no such examinationin thecase of offspring biases. In thisarticle,we consequences througha simple mathematical investigatethese intergenerational model that was initiallymotivatedby the demographyand social structureof cercopithecineprimates.A mathematicalapproach is particularlyusefulforlongAm. Nat. 1991. Vol. 137, pp. 542-555. ? 1991 by The Universityof Chicago. 0003-0147/91/3704-0006$02.00. All rightsreserved. BIAS IN OFFSPRING SEX RATIO 543 lived, slowly maturingspecies such as primatesbecause empiricaldata are available for at most a single generationfor such animals, and even then only for a few species. Almostall cercopithecineprimateslive in permanentsemiclosedand matrilocal social groups: females remain withintheir natal group and reproduce there, whereas males disperse as adults and, iftheyare successful,reproducein one or moregroupsin the subsequentyears (reviewin Pusey and Packer 1987). Females can be orderedin clear dominancehierarchiesthatare usually stable throughout adulthood, and as a daughtermaturesshe assumes her mother'srelativedominance rank. Even if the relativerankrelationshipamong females stays constant throughouttheirlives, however,theabsolute rankof a female,by whichwe mean one more than the numberof females above her in the hierarchy,changes as females mature and others die. Female rank sometimes, some higher-ranking thoughnot invariably,confersreproductiveadvantagethroughearlierage of first reproduction,shorterinterbirth intervals(i.e., higherbirthrates), or lower infant mortality.Althoughmale dominancerankoftencorrelateswithreproductivesuccess in the short term,males, in contrastto females, change dominance rank oftenduringadulthood,and mother'srankseems littlerelatedto initialor lifetime differencesin rank or reproductivesuccess (review in Fedigan 1983; Silk 1987; Waltersand Seyfarth1987; but see Meikle et al. 1984). THE MODEL Below, we model mathematicallythe relationshipsbetween maternaldominance rankand offspring sex ratioand theintergenerational consequences of such relationships.The model focuses on the female componentof a group that is assumed to have the followingbiologicalcharacteristics:(1) a femalestays in her natal group and reproducesthere; (2) a daughterassumes her mother'srelative positionin the social hierarchy,or, ifher motheris alive, she occupies a position directlybelow her mother(the orderingamong sistersis immaterialforour purposes); and (3) the numberof maturedaughtersproduced by a female depends on the numberof femalesabove herin thehierarchy.This could arise in a variety of ways; the rank-relateddifferencescould arise fromsecondarysex ratios (i.e., in numberof offspring. throughdifferential mortality)or fromdifferences Equivathata femaleproduces could be independentof lently,the numberof offspring her rank, but with the sex ratio of the offspringdependenton the numberof females above her in the hierarchy.It is the terminologyfor this last situation thatwe use forthe remainderof our explorations. We reporton the simpleststochasticmodel forthe situationdescribed above: we break time into discrete generations,and at each generation,a female is replaced by a randomnumberof daughters,who are all consideredthe same age. These numbersare independentfordifferent females and different generations. Our investigationthen focuses on threeaspects of the system.Specifically,we firstask whatare theimplicationsforgroupsize of different relationshipsbetween sex ratio; thatis, is group-sizeregulationaffected dominancerank and offspring is an increasingor a decreasing by whetherthe proportionof female offspring 544 THE AMERICAN NATURALIST functionof dominance rank? Next, using the results of this examination,we restrictsubsequent investigationsto the case in which the proportionof female offspringdecreases with decreasingdominance rank, and we ask several questionsabout the numberand identityof theoriginalmatrilinesthatare represented in the group in subsequent generations.Finally, we examine the relationship between the absolute rankof a motherand her daughters. We take a functionf1,k thatgives the probabilitythata femaleof rank i leaves k daughtersin the nextgeneration.The values of thisfunctioncompletelyspecify our model. Note that,followingthe conventionin the biological literature,the individualis assigned rank numberone, rank two is assigned to highest-ranking the nexthighest-ranking individual,and so on. We thendefineRi as the expected numbersof adult daughtersleftby a femaleof ranki: Ri =Ekfi,k =Z kR GROUP-SIZE REGULATION We show thatfora species in whichdominancerankis passed frommotherto mothersoverproduce daughter,group size is tightlyregulatedifthe high-ranking daughters,and group size is unstableiftheyoverproducesons. Suppose thereare initiallys femalesin a group. The ith produces an average of Ri daughterssuch thatAs, the average change in the group size afterthe next generation,is /s As= \ Ri -s, where here, and elsewhere, the size of the group means the numberof females in the group. By definitionAs,is positive when the group is expanding and is negativewhen the groupis shrinking(see fig.1). The sizes at whichthe graphof A crosses the horizontalaxis (A = 0) are the stationarygroupsizes; thatis, there is no change in groupsize between successive generations,and a stationarysize is stable under small perturbationsif the graphcrosses the axis witha negative slope. If the group declines slightlyfromthe stationarysize, then A is positive and the group increases in the next generation;if the groupgrows slightly,then A is negativeand the group shrinksback towardthe stationarypoint (see fig. 1). situationoccurs ifhigh-ranking mothersleave relativelyfewer Quite a different daughters(and, therefore,relativelymore sons) thando low-rankingmothers.In thiscase, A is negativeforsmall s, and A would cross the axis frombelow at its firstcrossing (see the inset to fig. 1). This implies that the nonzero stationary would tendto move the group size away groupsize is unstable; any perturbation fromthe stationarysize, eitherdown to extinctionor up to infinity (realistically, otherbiological processes such as groupfissioningwould probablyoccur). females disproportionConsequently, offspringbiases in which high-ranking ately produce sons and low-rankingones disproportionately produce daughters 545 SEX RATIO BIAS IN OFFSPRING unstable U I 6 change in group size 4 2 group * 5 10 group . expands * I 0-0~~~~~~~~~~~ l -2 stable groupsize * shrinks * l I 15 20 I 25. 30 -4 current numberof females FIG. 1. A, The changein groupsize (numberoffemales)afterone generation,as a function of currentgroup size. Calculationsforthe maingraphused the baseline reproductivevalues. Hor-izontalarrows,thedirectionof changein groupsize. Verticalarrow,the stationarygroup size, which is stable in this case. The inset shows that the horizontalarrows would be mothersunderproduceddaughters,makingthe stationarysize unreversed if high-ranking stable. lead to a much higherdegree of instabilityof group size and impermanenceof groupsthanwould unbiased offspring productionwithstochasticvariability(Cohen 1969). Conversely, if high-ranking females leave more daughtersthan do sex-ratiobiases providean indirectmechlow-ranking females,thenrank-specific anism for the regulationof group size, withoutany implicationthat the stable size is itselfadaptive. This resultinvitesa numberof novel analyses and future research investigations,some of whichwe returnto in the discussion. On the basis of this findingregardinginstabilityin group size in the case of male-biasedratiosforhigh-ranking forthe females,we develop the model further females leave fewerdaughters.Indeed, this is the case in which lower-ranking situationin a groupof savanna baboons, Papio cynocephalus,in Amboseli Park, Kenya (Altmannet al. 1988), the site of a longitudinalstudythat has produced natalityand mortalitydata thatare used forillustrativepurposes below. We conducted a series of three sets of numericalsimulationsto investigate intergenerational changes in matrilinealstructurearisingfromstatus-correlated offspring production.In each set of simulations,an exponentialdistributionwas used to model the distribution of survivingdaughtersat each rank.In mathematical terms,f1k = ti(I- _t)k, whereoi is a parameter thatdependson i; this was in different each set of simulations. The choice of an exponential dependence distributionwas motivatedby evidence fromthe Amboseli population that per annummortalityand fertility are fairlyconstantformost of a female's reproductive career (Altmannet al. 1988). As our baseline, we chose oi accordingto the 546 THE AMERICAN NATURALIST survival.This data set provides Amboseli data on sex ratioat birthand offspring an example withquite a strongcorrelationbetweenrankand sex ratio. We additionallyconsideredhypotheticalpopulationsin whichthecorrelationwas reduced to 50% and 33% of the baseline. This reduction,which can be thoughtof as A by a constant,maintainsthe same stable group size but decreases multiplying the correlationbetween rankand numberof survivingdaughters. CONSOLIDATION Computer simulationsdemonstratedthat the entiregroup will be descended froma single ancestral motherwithina small numberof generations.We refer to this process as consolidation, and we consider here several aspects of the consolidationprocess. IfRi is decreasingin i-that is, productionof daughtersis a decreasingfunction of rank-then eventuallythe entiregroupwill be descended froma singlefemale because the females at the top of the hierarchyare more than replacingthemselves and thustheirfemaledescendantsoccupy a largerportionof the hierarchy than they did. We fix some generationas the beginningof time and treateach female in this generationas the progenitorof a distinctfamilytree. We say that the descendantsof the femaleof ranki in thisoriginalgenerationare all members of the ith matriline.The picturethe reader should have is that each generation of females is subdivided into distinctmatrilinesand that aftera period of time one of the matrilines,usually one descended froma high-ranking ancestor, consolidates the entiregroup. We defineQi as the probabilitythatthe ithmatrilineconsolidatesthe group, Ti as the average time untilconsolidation,conditionedon the ith matrilinetaking over, and M,, + 1 as the average numberof distinctmatrilinespresent aftern generations.(We defineM,,thisway because thereis always at least one matriline present; M,, measures the numberof excess matrilines.)We present numerical resultsfor the behavior of Qi, Ti, and Mn and also show thatit is fairlyeasy to calculate Qi by solving a systemof linear equations. Notice that Qi is the only quantityconsidered in this articlethattrulydepends on the stochasticnatureof our model. One could consider Ai,Ti, and Mn even fora deterministic model and arriveat comparable results. The Number of Matrilinesas a Functionof Elapsed Generations The simplestway to quantifythe consolidationprocess and the consequential loss in geneticvariabilitythroughthe maternalline is to count the within-group numberof distinctmatrilinesthat are present in each generation.Because Ri decreases in i, thematrilinesat thebottomofthehierarchyhave a highprobability of becoming "extinct" (no remainingfemale descendants), and thus we would expect Mnto approach zero quite quickly.Simulationsshowed thatMndecreases exponentiallyas n increases. For thevalues thatwe used fromthe Amboseli data, computersimulationsshowed thatM,,decreased by a factorof about 2.4 in each generation(fig.2). This means thatonly about 40% of the femalesin the present BIAS IN OFFSPRING SEX RATIO 547 100 10 * baseline (Amboseli E * * 1 excess matrilines o 0. 1 - values) o * * E * 50% of baseline bias 33% of baseline bias o 0.01 - 0.001 0 2 Il 4 l 6 l l Il 8 10 12 1 4 16 1 8 20 generation FIG. 2. -Number of matrilinesin excess oftheone thatconsolidatesthegroupas a function of time. Results shown forthreelevels of correlationbetweenrankand sex ratio. generationcould be expected to leave any female offspring.Afterfive generations, Mn dropped below 0.5, which says that with an initialpopulation of 25 females,only one female in most simulationshad any descendants in the group afterfivegenerations.Our simulationswithreduced sex-ratiobias showed qualitativelysimilarresults(fig.2). In all threesets, a negativeexponentialfunction fitMnwithan R2 of at least 0.997. When the bias was reduced to 33% of baseline, 18% of the transientmatrilinesdisappeared in each generation. Variationin the Time untilConsolidation The resultsof the precedingsectionindicatethatthe consolidationprocess can be extremelyrapid, on the order of five generations.Because those analyses did not consider potentialvariabilityin consolidationtime,dependingon which matrilinetook over, we now turnto a considerationof Ti,the conditionalaverage timeuntilconsolidation,conditionedon the ithmatrilinetakingover. Intuitively, we would not expect Ti to depend stronglyon i. If an initiallylow-rankingmatriline (large i) is going to consolidate, all the highermatrilinesmust die off.The most likelyway for this to happen is forall the higher-ranking matrilinesto die offin the firstone or two generations;otherwisethey will probably grow too much. Once the higher-ranking matrilineshave died off,the low-rankingone is top rankingand thereforebehaves in the same way as a matrilinethatwas initially high-ranking. Therefore,we expect that the time untilconsolidation should be only slightlylongerforconsolidationby low-rankingmatrilines.This expectation is borne out forall threesets of simulations.The mean timesuntilconsolidation forthe baseline amountof correlationand for50% and 33% of baseline bias were 6.3, 9.9, and 14 generations,respectively.The coefficientsof variationfor the threesets of simulationswere 0.091, 0.073, and 0.083. Again, we see that for the baseline set, the group typicallyhas a common THE AMERICAN NATURALIST 548 ancestor five generationsback, independentof the rank of that ancestor. This provides a nice single index of the rate of genetic homogenizationthat can be groups. used to compare two otherwise-similar For the sake of completeness,we note that Ti is also a functionof the size of the initialgeneration.However, this dependence is extremelyslightbecause stabilizationof groupsize proceeds even morerapidlythandoes theconsolidation we always set the initialsize as the process. Aftersome initialexperimentation, we believe that other initialconditions and size for our simulations, stationary would have a very small effecton our conclusions. The Probabilityof Consolidation Finally,we estimateQi, the probabilityforeach originalfemalethather matriline consolidates the group. Althoughcomputersimulationsagain provide good estimatesof the quantities,theycan also be estimatedby analyticalmethods,the details of which are available fromthe firstauthor. Figure 3 shows that across all ranks the probabilityof consolidationby any rank is a constantfractionof thatforthe next higherrank; that is, exponential decay in Qi is a characteristicof all threesets of simulations(all threeR2 values For rank4 and exceeded 0.97), althoughthe decay constantsare quite different. below (higherranknumber),thereis less thana 10% chance of any one matriline consolidatingthe group,but the sets differmarkedlyin the probabilityof consolidation by the higherrankingmatriline;compare a 64% chance of consolidation for rank 1 in the baseline with 28% for rank 1 in the set with 33% of baseline correlationbetweenrankand sex ratio.As thecorrelationincreases,the disparity between high-and low-rankingfemalesincreases. Withoutgoinginto details, we note that this exponentialdecay also arises for continuous-timemodels, where we can show that the decay constantis almost entirelydeterminedby the sexratiobias at the highestranks. DOMINANCE RANK OF MOTHERS AND THEIR DAUGHTERS: THE GENERATION GAP A considerable empiricalliteratureassessing the stabilityof dominance rank, especially in baboons and macaques, has been reviewedby Silk (1987). In addition, Hausfater et al. (1987) have examined the effectsof variabilityin demographicparameterson dominancestructurewithinoverlappinggenerations.Here, changesin absolutedominancerankbetweensucceswe investigatewithin-family sive generationswhen transmissionof relativerankis perfect.Even ifgroup size dominance rank is stable, and relative rank is peris stable, within-generation fectlytransferablebetweengenerationsfrommotherto daughter,overproduction femalesof the various ranksresultsin a difference of daughtersby high-ranking betweenabsolute ranksof mothersand daughters.An importantconsequence of the kind of rank-specificsex-ratiobias that we have been investigatingis that some daughters have an absolute rank that is very close to their mother's, fromtheirmother's.This differwhereas othershave ranksthatare quitedifferent ence can be quantifiedas follows. BIAS IN OFFSPRING SEX RATIO 549 o El 0.1 -*.o consolidation probability * baseline (Amboseli values) * 0.01 - U 0.001 0.0001 E 50% of baseline bias * El * 33% of baseline bias El - - 0 _ 2 4 6 8 10 12 14 16 18 20 matriline FIG. 3.-The probabilitythata matrilineconsolidatesthe group. Results shown forthree levels of correlationbetween rank and sex ratio. THEOREM: The expected difference in rank between a motherof rank i and a randomlyselected daughteris approximatelyAi,withan errortermthatis small formost choices off]k PROOF: If the mothersin ranks 1 throughi - 1 produce D daughters,and the motherof rank i produces d daughters,thenthese d daughtersoccupy ranks D + 1, D + 2, .. . , D + d. Therefore, a randomly selectedone ofthesedaughters has rankD + (d + 1)/2,and the differencebetweenthatand the maternalrank is D + (d + 1)/2 - i. It is not hardto see thatthe means of D and d (conditioned on d beinggreaterthanzero so thatthereis a daughterto select) are ILz Rr and Ril(l - jfo). Some algebrashowsthattheaveragerankdifference is E (D d + I) 2 -1 + + Ai 2 ~2(1 Ri7ft, (I -J>,)V If it were not forthe factorof 1/(1 - io) in the conditionalexpectationof d, the right-handside of equation (1) would be exactly equal to interpolatingAXat a midpointbetween i - 1 and i. The amountby whichthe average rankdifference deviates from(Ai + Ai-1)/2,the second termon the rightof equation (1), could in theorybe large,butformostreasonable choices Offk, it stays small. The error is small because fi0 is usually small forthe values of i forwhichRi is large, and, when 1 - J0 is small,Ri is also small. rank differThus, when the errortermis small, the average daughter-mother ence is approximately/v,and this rank differenceis thereforegreatestnear the rankwhereA\is greatest.This can be understoodintuitively because thedaughters of middle-ranking females are pushed veryfar down the hierarchyby the large mothers.High-ranking overproductionof daughtersfromhigher-ranking daughters do not experience as much disparitysimplybecause thereare few higher- 550 THE AMERICAN NATURALIST rankingmothers,and low-rankingdaughtersare not displaced far because the mothersis almostbalanced by underprooverproductionamong the high-ranking ductionby mid-to low-rankingmothers. females overUnder our assumptionthatRi is decreasingin i (higher-ranking produce daughters),we know that A\has the shape shown in the main part of figure1. The firstzero of A\is the stable groupsize, and A\peaks near the middle of the group. We can thereforeconclude thatdaughtersof mid-ranking mothers findthe greatestdisparitybetween theirranksand theirmothers'ranks. For the parametervalues in our examples, the errorneverexceeds halfa rank. The rank differenceis greatestat i = 11, about halfwaydown the hierarchy.Daughtersof a rank 11 motherare, on the average, about nine and a half positions lower in the hierarchythan was theirmother. DISCUSSION The present investigationhas departed frommost earlier discussions in the evolutionaryliteratureby modelingdemographicand behavioralconsequences of biased offspringsex ratios that vary systematicallywithininternallystructured groups.The effectswe have examined,moreover,are ones thatare realized after only a few generations,changingthe social environment,and thus the context forevolution,withinand among groups. Our models consider species in which thefemalesof a groupformordered,stable dominancehierarchies,relativedominance is passed frommotherto daughter,offspringsex ratios are a monotonic functionof maternaldominancerank,and males, but not females,disperse from theirgroupsof birthby adulthood. One of the most strikingresultswas the instabilityof group size formodels in whichhigh-ranking mothersoverproducesons. In sharpcontrast,overproduction of daughtersconstitutesan indirectmechanismfor stabilizinggroup size. Differingdirectionsof bias or the absence of systematicbias in offspring sex ratios are reflectedin the size distributionof groups withina populationat any given time and of individual groups over a number of generations. Consequently, group-sizedistributionscan provide a test of the priorhistoryof offspringsexratiobias in a population.Appropriatetests,however,mustbe based on elaborations of existingmodels of group-sizedistributions(Cohen 1969, 1971, 1972) to incorporateoffspring bias. These tests should be designedto use data fromsingle groupsover timeand fromgroup censuses withinmultigrouppopulations. Does it matterifgroup size is unstable?The size of a grouphas consequences forday ranges, social coordination,minimalrequirementsforresources such as sleepingsites, and so on. If the group size or structurethatan individualexperiences duringmaturationis a poor predictorof the characteristicsof the group thatthe individualwill experience duringadulthood,especially when raisingits own offspring, then the potentialadvantages providedby learningduringa long stage of immaturity mightbe dilutedor totallynegatedby thislack of continuity. The wisdom of individualsand of theirrelativesin the group would be of little use in a situationof poor predictability,of moderateuse in a neutralsituation, and of considerableadvantage when variabilityis low. BIAS IN OFFSPRING SEX RATIO 551 fefemales relativeto lower-ranking Overproductionof sons by high-ranking males would probablyproduce additionalreductionin homeostasisof social environmentbeyond that caused by instabilityof group size, because low-ranking ones. This maternallineages will expand withina group relativeto high-ranking would increase the likelihoodthat coalitions of low-rankingrelativeswould be animalsand able to challengesuccessfullythedominancestatusof higher-ranking therebydestabilizethe social structure.The extentof intra-and intergenerational rank stabilityand the consequences of breakdownsin stabilityshould suggest, albeit not provide as directa test as would group sizes, the historyof offspring sex-ratiobiases or absence of persistentbiases in a population.In thefewprimate populationsforwhich thereare appropriatedata, instabilityof the femaledominance hierarchyseems to be rare (reviews in Samuels et al. 1987; Silk 1987), females has not been suggestingthat overproductionof sons by high-ranking persistentor pervasive. The remainingpredictionsof the model that we explored incorporatedthe additional assumption that offspringsex ratios were a decreasing functionof femalesoverproduceddaughtersrather dominancerank,thatis, thathigh-ranking than sons. We found that, althoughdaughtersassume their mothers' relative fromthat dominancestatus,theabsolute rankof daughterscan differsignificantly femalesand the raredaughters of theirmother.Daughtersof the highest-ranking of low-ranking femaleshave dominanceranksclose to those of theirmothers.In contrast,daughtersof mid-rankingfemales will experience a large generation gap. If individualsthatare faced with similarconditionsas adults to those they experiencedas immaturesare at an advantage because theyare betterprepared females will be at an advantage, in this regard, (Fairbanks 1989), high-ranking ones. relativeto all but the rare lowest-ranking In additionalanalyses we exploredtherelationshipbetweentherank-biasstructureand the relatednesswithinthegroupsof a populationusingparametervalues fromdata on baboons in Amboseli. We saw thatin a few generations,the female componentof a group was composed entirelyof membersof the same matriline (i.e., all descendantsof a singlefemale)and thatbeforethat"consolidation," the group experienced approximatelya 60% reductionfromone generationto the nextin the numberof matrilinesrepresented.The commonfemaleancestor was female in the startinggeneration;consolidationwas usually the highest-ranking rarely(14%) by a matrilineotherthanone of the top two; and the identity(rank number)of the consolidatingmatrilinehad littleeffecton the time to takeover. When we examined a hypotheticalexample with a rank-specificsex-ratiobias that was much weaker than in Amboseli, we found an increased variabilityin whichmatrilineconsolidatedthe groupand an increased timeto takeover. Even for the Amboseli model, however-in which consolidationwas usually within fivegenerationsand was by the highest-ranking matrilineover 60% of the timein any one generation,the highest-ranking femaleleftthe most femaleoffspring less than 20% of the time. Calculations such as these are importantto keep in mindwhen implicationsare drawnfromempiricalfindings,and theyare particularlyimportantfortaxa such as primatesforwhichdata rarelyspan a fullgeneration and are usually available for only one group or at most one population. 552 THE AMERICAN NATURALIST Matrilinealaspects of these investigationshave been explored in more detail usingmodels thattreattimeand, to some extent,rankas continuous(M. Altmann 1988). Genetic data have been gatheredfora few primatepopulations(e.g., Duggleby 1978; Melnick 1987), and other studies are underway.These empiricalinvestigationsare usually undertakenprimarilywitha focus on determining paternityor differential reproductionby males, but, ifcombinedwithbehavioraldata, theyshouldbe able to providethedata necessaryforassessing evidence of persistentpriorrelationshipsbetween rankand offspring sex ratios. It is interestingto note thatthe mathematicaltools used in this analysis were originallydeveloped in the contextof a populationin whichreproductionpotentially varied with social status (Galton and Watson 1874, reprintedin Keyfitz and Smith 1977). Galton and Watson were concerned withdetermining whether upper-class English familynames were disappearingbecause of lower fertility amongthe upper class or simplybecause of randomfluctuations.Unfortunately, theyconsideredonlythe nullhypothesisof a homogeneouspopulation,and mathematicalintractability led the subsequentmathematicaltheoryof branchingprocesses away fromthe originalidea of socially determinedreproduction.Consequently,fewmodels of populationgrowthhave incorporatedboth social structure and reproductivebehavior. In themodels analyzed here,we assumed thatfemaleshave theabilityto adjust and that they do so based on their facultativelythe sex ratio of theiroffspring social statusrelativeto the higher-ranking females. Facultativeadjustmentof sex ratios is advantageous for species in which thereare conditionaladvantages of producingoffspring of each sex and forwhichthese conditionschange duringthe reproductivespan of a singleindividual,differbetweenparentsand offspring, or differamong siblings.Heritabledifferencesin sensitivityto conditionalcues may be subjectto selection.These cues may arise in several different milieus;ecological stressmightfavora different offspring sex ratiothan social stress. When the cues varyamong closely related species or perhaps even populationsof a single species, it is particularlydifficult to identifythe appropriatelevel foranalysis. Proximally,sex-ratioadjustmentmay be effectedthroughmechanismssuch as behavioraltimingof conceptionor physiologicalchanges thatdifferentially affect male-and female-bearing sperm(e.g., Guerroro1970;James1971, 1983). Whether sex-ratioadjustmentitselfhas been subjectto selectionor whethertheadjustment is a by-productof mechanismsthathave some otherprimaryconsequence is not at all clear. When attentionfirstfocused on the evolutionof facultativeadjustmentof offspringsex ratios,it was arguedthatthe relationshipbetweensex ratioand parental condition or quality "should" be positive (Trivers and Willard 1973), for example, thathigh-ranking females should overproducesons ratherthan daughters.The reasoningwas based on the assumptionthatmanyspecies are relatively polygynous,in which case, males typicallyhave highervariance in reproductive success thando females.The implicitleap was thenmade to conclude thatmothers in good conditioncould, therefore,influencethe reproductivesuccess of their sons morethanthatof theirdaughters,and empiricaldemonstrationof a positive BIAS IN OFFSPRING SEX RATIO 553 relationshipbetween maternalconditionand sex ratio in a populationwas then equated with demonstrationof adaptive sex ratio (but see Clark 1978; Myers 1978). Subsequent authors (e.g., J. Altmann 1980; Silk 1983; van Schaik and van Noordwijk 1983, all focusingon cercopithecineprimates)demonstratedthatthe modelwas muchless generalthanoriginallysupposed. They pointedout thatsex differencesin variabilityof reproductivesuccess were overestimatedby dependence on cross-sectional or short-termempirical studies, and that short-term differencesin male and femalereproductivesuccess were probablyconsiderably greaterthanlifetimeones preciselybecause of the instabilityof male lifehistories relativeto those of females (e.g., Hausfater 1975; Samuels et al. 1987). In addition,even relativelypolygynousspecies oftenexhibitdemographicsystems and formsof social structurein which motherspotentiallyinfluencetheir daughtersmore than theirsons (see, e.g., Silk 1983). The operationof opposing factorscould resultin predictedadaptive relationshipsbetween maternalquality and offspringsex ratio that are positive, negative, or zero, dependingon the particularbiological systemunderconsideration.This calls into question studies in which "tests" of adaptive sex ratios were based on the fallacious assumption that a relationshiphad to be positive to be adaptive and in which a positive relationshipwas taken as primafacie evidence forthe evolutionof adaptive sex ratios. If one wanted to follow the general Trivers-Willardapproach and ask which sex-ratiorelationshipmightbe favored in a given biological system, it would be necessary to evaluate the Trivers-Willardassumptions by obtaining estimatesof the relativeeffectsof motherson theirsons' and daughters'reproductive success (see, e.g., Clutton-Brock1985; Hrdy 1987), data that have in generalbeen unavailable formost species. In the present series of investigations,we have approached the question of adaptive sex ratios froma totallydifferentperspective. We have asked about the consequences of quality-biasrelationshipswithincertaintypes of biological systems,regardlessof whetherthese relationshipsmighton otherbases, such as seem to be of selecpolygynyor sex differencesin maternaleffectson offspring, tive advantage or disadvantage. Despite the apparent ultimateadvantages of a quality-biasrelationship,the relationshipcan persistonly ifit is compatiblewith the otherbehavioral, social, and demographicstructuresof the species. Models of effectson the levels and time scale thatwe have consideredhere are not only of intrihsicinterestforstudies of demographyand social structure,but theyalso address the potentialcontextforevolutionof biased offspring sex ratios. ACKNOWLEDGMENTS The authorswould like to thankJ. Cohen and S. Altmannfortheircomments on earlier draftsand for discussions and supportwhile the manuscriptwas in preparation.We would also like to thankanonymousreviewersfortheirhelpful criticism.Supportwas suppliedby the CourantInstituteat New York University, the SimulationResource at Universityof Minnesota,and grantHD-15007. 554 THE AMERICAN NATURALIST LITERATURE CITED Altmann,J. 1980. Baboon mothersand infants.Harvard UniversityPress, Cambridge,Mass. Altmann,M. 1988. Controlledbranchingprocess models for linearlystructuredpopulations. Ph.D. diss. New York University,New York. Altmann,J., G. Hausfater,and S. A. Altmann.1988. Determinantsof reproductivesuccess in savannah baboons. Pages 403-418 in T. Clutton-Brock,ed. Reproductivesuccess. Universityof Chicago Press, Chicago. Clark, A. B. 1978. Sex ratioand local resourcecompetitionin a prosimianprimate.Science (Washington, D.C.) 201:163-165. Clutton-Brock,T. H. 1985. Birthsex ratiosand the reproductivesuccess of sons and daughters.Pages 221-236 in P. Greenwood, P. Harvey, and M. Slatkin,eds. Evolution: essays in honourof JohnMaynard Smith.CambridgeUniversityPress, Cambridge. Clutton-Brock,T. H., and G. R. Jason. 1986. Sex ratio variationin mammals.QuarterlyReview of Biology 61:339-374. Clutton-Brock,T. H., S. D. Albon, and F. E. Guinness. 1981. Parentalinvestmentin male and female in polygynousmammals.Nature (London) 289:487-489. offspring Cohen, J. E. 1969. Natural primatetroops and a stochasticpopulationmodel. American Naturalist 103:455-477. 1971. Casual groups of monkeysand men: stochastic models of elemental social systems. Harvard UniversityPress, Cambridge,Mass. 1972. Markov population processes as models of primatesocial and population dynamics. TheoreticalPopulationBiology 3:119-134. Duggleby, C. R. 1978. Blood group antigensand the population genetics of Macaca mulatta on of social groups. American Journalof Physical Cayo Santiago. I. Genetic differentiation Anthropology48:35-40. effectson mother-infant Fairbanks,L. A. 1989.Vervetmonkeygrandmothers: relationships.DevelopmentalPsychobiology22(7):669-681. Fedigan, L. 1983. Dominance and reproductivesuccess in primates.Yearbook of PhysicalAnthropology 26:91-129. Fisher, R. A. 1958. The geneticaltheoryof naturalselection. Dover, New York. Galton, F., and H. W. Watson. 1874. On the probabilityof the extinctionof families.Reprintedin N. Keyfitzand D. Smith,eds. 1977. Mathematicaldemography:selected papers. Springer, New York. Guerroro, R. 1970. Sex ratio: a statisticalassociation with type and time of inseminationin the menstrualcycle. InternationalJournalof Fertility15:221-225. Hamilton,W. D. 1967. Extraordinarysex ratios. Science (Washington,D.C.) 156:477-488. Hausfater,G. 1975. Dominance and reproductionin baboons: a quantitativeanalysis. Karger, Basel. Hausfater,G., S. J. Cairns, and R. N. Levin. 1987. Variabilityand stabilityin the rank relationsof nonhumanprimatefemales:analysisby computersimulation.AmericanJournalof Primatology 12:55-70. Hrdy, S. B. 1987. Sex-biased parental investmentamong primatesand other mammals: a critical evaluationof the Trivers-Willard hypothesis.Pages 97-147 in R. J. Gelles and J. B. Lancaster, eds. Child abuse and neglect:biosocial dimensions.Aldine de Gruyter,New York. James,W. H. 1971. Cycle day of insemination,coital rate and sex ratio. Lancet 1:112-114. 1983. Timingof fertilizationand the sex ratio of offspring.Pages 73-99 in N. Bennett,ed. Sex selection of children.Academic Press, New York. Meikle, D. B., B. L. Tilford,and S. H. Vesey. 1984. Dominance rank, secondary sex ratio, and in polygynousprimates.AmericanNaturalist124:173-188. reproductionof offspring Melnick, D. J. 1987. The geneticconsequences of primatesocial organization:a reviewof macaques, baboons and vervetmonkeys.Genetica 73:117-135. Myers, J. H. 1978. Sex ratio adjustmentunderfood stress: maximizationof quality or numbersof AmericanNaturalist112:381-388. offspring? Myers, P., L. L. Master, and R. A. Garrett.1985. Ambienttemperatureand rainfall:an effecton sex ratio and littersize in deer mice. Journalof Mammalogy66:289-298. BIAS IN OFFSPRING SEX RATIO 555 Pusey, A. E., and C. Packer. 1987. Dispersal and philopatry.Pages 250-266 in B. B. Smuts et al., eds. Primatesocieties. Universityof Chicago Press, Chicago. Samuels, A., J. B. Silk, and J. Altmann.1987. Continuityand change in dominancerelationsamong female baboons. Animal Behaviour 35:785-793. Silk, J. B. 1983. Local resource competitionand facultativeadjustmentof sex ratios in relationto competitiveabilities. AmericanNaturalist121:56-66. 1987. Social behavior in evolutionaryperspective.Pages 318-329 in B. B. Smuts et al., eds. Primatesocieties. Universityof Chicago Press, Chicago. Trivers,R. L., and D. E. Willard. 1973. Natural selectionof parentalabilityto varythe sex ratio of offspring.Science (Washington,D.C.) 179:90-92. van Schaik, C. P., and M. A. van Noordwijk. 1983. Social stressand the sex ratio of neonates and infantsamong non-humanprimates.NetherlandsJournalof Zoology 33:249-265. Walters,J. R., and R. M. Seyfarth.1987. Conflictand cooperation.Pages 306-317 in B. B. Smuts et al., eds. Primatesocieties. Universityof Chicago Press, Chicago.
© Copyright 2026 Paperzz