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Behavioral Ecology Vol. 13 No. 1: 75-82
© 2002 International Society for Behavioral Ecology

Modeling spawning strategy for sex change under social control in haremic angelfishes

Yuka Hamaguchia, Yoichi Sakaib, Fugo Takasua and Nanako Shigesadaa

a Department of Information and Computer Sciences, Nara Women's University, Kita-Uoya Nishimachi, Nara 630-8506, Japan b Kyushu International University, Hirano, Yahata-Higashi-ku, Kitakyushu 805-8512, Japan

Address correspondence to N. Shigesada. E-mail: sigesada{at}ics.nara-wu.ac.jp . Y. Sakai is now at the Faculty of Applied Biological Science, Hiroshima University, Higashi-Hiroshima, Hiroshima 739-8528, Japan.

Received 1 May 2000; revised 22 March 2001; accepted 22 March 2001.


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 RESULTS
 DISCUSSION
 APPENDIX A
 APPENDIX B
 REFERENCES
 
In haremic angelfishes where protogynous (female to male) sex change is favored, females have been reported to adopt several tactics for earlier sex change on the basis of a trade-off between reproduction and growth, or survivorship. A recent field study on Centropyge ferrugatus revealed that females reduce spawning frequency in competition with similar-sized neighbors for social dominance. To evaluate the optimal spawning strategy taken by haremic fishes, we developed an evolutionarily stable strategy model that focuses on their life history and social structure based on field data of C. ferrugatus. The results of the analysis predict that the spawning frequency will be low when the mortality rate of females is high compared with males, the harem size is large, and there is a moderate degree of social control. Our model further predicts conditions under which females completely stop spawning, as if they have become bachelors. Thus, the regulated spawning frequency may be taken as a strategy to optimize the reproductive success of an individual in response to the available choices for sex change, social control, and environmental conditions. Social control would also play an important role in sex change in many other haremic species.

Key words: angelfish, bachelor sex change, Centropyge ferrugatus, harem-fission sex change, social control, spawning frequency, takeover sex change.


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 RESULTS
 DISCUSSION
 APPENDIX A
 APPENDIX B
 REFERENCES
 
Sequential hermaphroditism (sex change) has been widely observed in marine fishes (Sadovy and Shapiro, 1987Go; Yogo, 1987Go). In particular, protogynous (female to male) sex change has been reported in many haremic fishes with polygynous mating systems (Moyer, 1990Go; Robertson and Warner, 1978Go, Ross, 1990Go; Warner and Robertson, 1978Go). According to the size advantage model, small males of haremic fish should have a low fitness because they seldom would be able to acquire females in competition with larger males (Charnov, 1982Go; Ghiselin, 1969Go; Warner, 1978Go, 1988bGo). In contrast, each individual could maximize its fitness if it participates in reproduction first as a female while it is small and later as a dominant male after it becomes large enough. Thus, protogynous strategy would be selectively favored in haremic fishes. However, more complex life-history pathways in relation to sex change have recently been reported in many sequentially hermaphroditic fishes (Aldenhoven, 1986Go; Charnov, 1982Go; Kuwamura and Nakashima, 1998Go; Warner, 1984bGo, 1988aGo).

In marine fish harems, females often exhibit a body size-based linear dominance relationship, which is closely reflected in the spatial pattern of their home ranges (Hoffman, 1985Go; Kuwamura, 1984Go; Sakai and Kohda, 1997Go). For example, individuals of a similar body size aggressively compete with each other to develop territorial relationships, while individuals of different body sizes could cohabit in such a way that the home ranges of smaller individuals are hierarchically included in those of larger ones. Kuwamura (1984Go) has noted two types of harems with slightly different spatial relationships: a "linear harem" composed of one male and multiple females whose home ranges overlap each other, and a "branching harem" composed of two or more linear harems (subgroups) of females, each of which occupies a separate range within the territory of one male (for terminology, see Kuwamura, 1984Go; see also Sakai and Kohda, 1997Go). Sex change in these harems is generally under social control by the male (Robertson, 1972Go; Ross, 1990Go; Warner, 1988bGo), so that the dominant female can become a male and take over the harem only when the male disappears ("takeover sex change"; Moyer, 1991Go; Moyer and Nakazono, 1978Go; Robertson, 1972Go; Sakai, 1997Go).

In several haremic fishes, however, females may change sex even in the presence of the dominant male, which has been called "early sex change" in the general sense (Moyer and Zaiser, 1984Go). Two contexts of early sex change can be distinguished. One is the "bachelor sex change," whereby a female becomes a bachelor male and spends a reproductively inactive period to wait for a territory vacancy (Aldenhoven, 1984Go, 1986Go; Moyer, 1987Go; Moyer and Zaiser, 1984Go; Warner, 1988aGo, 1991Go). The second is "harem-fission sex change" (Aldenhoven, 1986Go; Lutnesky, 1994Go; Moyer, 1991Go; Robertson, 1974Go; Sakai, 1997Go) as observed with angelfish Centropyge ferrugatus. Angelfish usually form a linear harem, where only the takeover sex change occurs. Occasionally, however, angelfish also form a branching harem when the male disappears from one of two adjacent harems. Then the two dominant females in the newly formed branching harem begin to engage in direct competition, and one of them eventually changes to male (Sakai, 1997Go). This harem-fission sex change is presumed to take place because the single preoccupant male would not be able to maintain sufficient social control over the expanded harem. In the process of such sex change, females of C. ferrugatus in adjacent harems tend to spawn less frequently and grow faster than those in isolated harems, as though they make a trade-off between reproduction and growth so as to gain competitive advantage. A similar trade-off has generally been observed in other fishes (Schultz and Warner, 1991Go; Warner, 1984aGo; Wootton, 1990Go). Thus, these alternative spawning tactics may be developed for acquiring territories and achieving mating success in the harem system.

In this study, we constructed mathematical models based on field data of Sakai (1997Go) to evaluate the reproductive success of primary females in the mode of the harem-fission sex change and to determine the spawning frequency at an evolutionarily stable state (ESS). Then we extended the model to a more generalized one to explain the occurrence of other sex change modes and discuss the plasticity of sex change tactics, based on data on several species.

Harem structure and spawning tactics of angelfish, C. ferrugatus
Sakai (1997Go) studied harems of C. ferrugatus at a coral reef on Sesoko Island, Okinawa, and recognized two types of distribution of harems. One type contains two or three harems adjacent to each other ("adjacent harems") and the other consists of single harems spatially isolated about 10 m from the nearest harem ("isolated harems"). In either distribution, the most common type was the linear harem, in which the females' home ranges hierarchically overlap each other. In the isolated harems, takeover sex change occurred exclusively in all cases observed. In adjacent harems, in contrast, upon disappearance of one male, the remaining male expanded his territory to occupy the vacated harem, thereby forming a branching harem (Figure 1a,b). Subsequently, one of the dominant females changed sex despite the presence of the occupant male, presumably because the expanded harem was too large for a single male to maintain sufficient social control. The newly converted male immediately went on to acquire one of the subgroups of females (harem-fission sex change). Consequently, each branching harem was reformed into two adjacent linear harems (Figure 1c). Thus, the branching harem is taken to represent a transitory phase in the re-formation of adjacent linear harems: the mean duration of branching harems (39 days) is much shorter than that of linear harems (213 days).



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Figure 1 The process of harem-fission sex change in Centropyge ferrugatus. The white symbols indicate the focal female, and the black symbols indicate the opponent female and the males. Thick and thin lines indicate the territories of the male and the home ranges of each female, respectively. (a) There are two linear harems adjacent to each other. (b) A male dies and a branching harem is formed. (c) The focal female changes to male and takes over one half of the branching harem, thereby reestablishing two linear harems.

 

Mortality rates did not significantly differ either between males and females or among females with different spawning rates (ca. 0.387/year). Recruitment of males was rarely seen. Females spawn at around sunset, and the number of eggs per spawning is not correlated with the female's body size. The spawning frequency of females in adjacent harems (percentage of days on which spawning is observed = 79.6% ± 25.2 SD, n = 18) was lower than that in isolated harems (97.6% ± 5.8 SD, n = 12). In particular, females with neighbors similar in size tended to spawn less frequently. Furthermore, there was an inverse correlation between the spawning frequency of a female and her growth rate.

In the light of these observations, Sakai reasoned that females in adjacent harems might be driven to compete for a prospective vacancy in advance. This competition would be especially severe among similar-sized females, resulting in reduced spawning frequency. In the next section, we discuss optimal spawning tactics in the harem society of C. ferrugatus that involves a branching harem. We then extend the model to the case in which a male keeps the branching harem for a long time under his strict social control and examine how such control affects the spawning frequency.

A basic model
Here we focus on a simple case in which two harems are adjacent to each other and each consists of one male and n females. The primary females in the two harems spawn infrequently when they are similar in size. We shall hereafter call one of the primary females the "focal female" and the other the "opponent." In contrast to the primary females, subordinate females spawn every day. We call these females "normal females."

Let {phi}f denote the focal female's spawning rate (fertility) per unit time, and {phi}o that of the opponent. Meanwhile, the normal female's fertility per unit time, {phi}n, is assumed to be constant, independent of body size (Sakai, 1996Go). Once the primary females begin to have lower spawning rates, they continue to keep those rates. The mortality rate of a male, {delta}m, is assumed to be constant, and that of a female, {delta}f, to be independent of her social ranking.

When the primary females reject courtship, the energy saved by the reduced spawning can be reinvested in their growth at rates proportional to {Delta}{phi}f = {phi}n - {phi}f and {Delta}{phi}o = {phi}n - {phi}o, respectively. When one of the males in two adjacent harems disappears, the focal female and the opponent immediately start a lottery competition in which their winning rates are assumed to be proportional to the invested energies in their growths to the power of {gamma}: {Delta}{phi}f{gamma} and {Delta}{phi}o{gamma}, respectively. Thus, the winning probability of the focal female is given by,

(1)

We call {gamma} (>0) the winning efficiency because, as {gamma} increases, the focal female's competitive ability is more effectively enhanced by restrained spawning. Figure 2 illustrates the dependency of the winning probability on {Delta}{phi}f for {gamma} = 0.5, 1 and 2, where {Delta}{phi}o is fixed. When {gamma} = 1, the winning probability, {rho}({phi}f, {phi}o), increases as a parabolic function of {Delta}{phi}f. When {gamma} > 1, {rho}({phi}f, {phi}o) rises in a sigmoidal curve with increasing {Delta}{phi}f. Conversely, when {gamma} < 1, the two females have a close game, in spite of the difference between their spawning frequency. In two special situations, the winning rate becomes independent of {gamma}: 0.5 at {Delta}{phi}f = {Delta}{phi}o, where two females adopt the same tactics, and zero at {Delta}{phi}f = 0, where the focal female always spawns.



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Figure 2 The dependency of the focal female's winning probability on {Delta}{phi}f for fixed {gamma}. The energy of the focal female invested in growth is {Delta}{phi}f = {phi}n - {phi}f and that of the opponent is {Delta}{phi}o = {phi}n - {phi}o. The vertical axis represents the winning probability of the focal female, {rho}({phi}f, {phi}o), and the horizontal axis indicates the invested energy of the focal female, {Delta}{phi}f.

 

In the case where the primary female in a harem dies or undergoes sex change, the normal females in the harem are promoted by one rank each, and a new female is recruited for the lowest rank. The new primary female is assumed to spawn at rate {phi}o, according to the formality of the subsequent ESS analysis in which all the dominant females except the focal female have the same spawning rate. Because a male reproduces with both the primary female and n - 1 normal females, the reproductive rate of the focal female after sex change, {phi}m, is given by

(2)
If the opponent dies or changes sex before the focal female becomes male, the focal female will invariably win in the next lottery competition because of her seniority.

Given these basic assumptions, we now consider the possible life history of the focal female starting with two complete adjacent harems as diagrammatically illustrated in Figure 3. At time t = 0, the focal female and the opponent are assumed to start a game by reducing their spawning rates to {phi}f and {phi}o, respectively. First, one of the males or one of the primary females will disappear, after which the whole system will move along one of the six possible routes shown in Figure 3. On each route, the system progressively changes its state with the death of one individual at a time. The game is over when the focal female dies.



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Figure 3 A possible life-history diagram of the focal female. The white symbols indicate the focal female and the black symbols indicate the opponent or the males. The circles represent harems. The X marks signify the death of that individual. Subordinate females are omitted for simplicity.

 

When one of the males dies at first, the focal female may change sex to male either by outcompeting the opponent at the initial chance (route 1) or taking the next chance of automatically succeeding the death of the second male after her initial defeat by the opponent (route 2). Or else, the focal female dies in vain before that next chance comes, resulting in the end of the game (route 3). Route 4 is the case when the opponent and one male die successively, after which the focal female automatically changes to male. In route 5 or route 6, the focal female dies either second after the opponent or first among all, respectively.

We examine how frequently these routes occur and to what extent they contribute to the reproductive success of the focal female. Thus we obtain the average reproductive success, wi, for each of the six routes as below (see Appendix A for derivation).

(3a)

(3b)

(3c)

(3d)

(3e)

(3f)
where we put

The spawning rates of the focal female and the opponent relative to that of the normal female are {phi}f and {phi}o, respectively. D is the ratio of the male's mortality relative to that of female, and T is the normal female's spawning rate divided by its mortality. Summing up all wi, we have the total reproductive success of the focal female as

(4)
If the opponent adopts an ESS tactic, {phi}*, W({phi}f, {phi}*) should have a maximum when {phi}f = {phi}* (Bulmer, 1994Go; Maynard Smith, 1982Go). Therefore, {phi}* that satisfies the following equation may be an ESS frequency:

(5)

Because Equation 5 includes parameters D, T, n, {gamma}, and {phi}*, {phi}* should be given as a function of D, T, n and {gamma}. However, T is irrelevant to the calculation of Equation 5, as W({phi}f, {phi}*) linearly depends on T. Therefore, {phi}* can be reduced to a function of three parameters, D, n, and {gamma}. We performed numerical calculations of {phi}* for various values of these parameters and confirmed that the resultant solutions for {phi}* indeed give optimal values of W({phi}f, {phi}*).


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 RESULTS
 DISCUSSION
 APPENDIX A
 APPENDIX B
 REFERENCES
 
We examined how the relative spawning rate at the ESS, {phi}*, depends on the male's mortality relative to that of female, D. Figure 4a shows {phi}* plotted against D for the cases of n = 3, 6, and 9, when {gamma} = 1. The larger is D, the higher becomes {phi}*. Thus, when the male's mortality is high, it should be more advantageous for females to remain females and to directly invest in reproduction by spawning frequently. Figure 4a also indicates that {phi}* decreases with increases in the harem size, n, because the focal female could expect a large reproductive gain by sex change. For n = 9, in particular, the focal female does not spawn at all when D < 0.6. In contrast, {phi}* increases to the maximum limit, {phi}* = 1, when D > 3 at n = 3.



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Figure 4 The relative spawning rate {phi}* at evolutionarily stable state as a function of the male's mortality relative to that of female, D. (a) The winning efficiency and harem size are chosen as {gamma} = 1 and n = 3, 6, 9, respectively. (b) The solid lines show the result for n = 3, and the broken lines for n = 6. The winning efficiency is fixed at {gamma} = 0.5, 1, and 2.

 

The mortality dependency of {phi}* for various combinations of {gamma} = 0.5, 1, 2 and n = 3 and 6 is illustrated in Figure 4b. When D is small, {phi}* becomes smaller with increases in {gamma}. This means that females tend to invest in growth when the winning efficiency is high. However, when D becomes large enough (D >= 2.9 for n = 3 and D >= 6 for n = 6), {phi}* converges to 1 regardless of {gamma}. The result predicts that the best strategy for females is to spawn at the maximal rate when the male's mortality is sufficiently high.

Figure 5 illustrates the relationship between {phi}* and harem size, n, for {gamma} = 0.5, 1, 2 at D = 1. {phi}* linearly decreases with n, and the rate of decrease becomes higher as {gamma} increases. For example, with every increment of 1 in n, {phi}* decreases by about 0.2, 0.1, and 0.05 for {gamma} = 2, 0.1, and 0.5, respectively. Incidentally, the harem size of C. ferrugatus is 2.3, and the average spawning frequency of females in adjacent harems is 0.723. These data fit well with the theoretical prediction for {gamma} = 2, as shown in Figure 5.



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Figure 5 The harem size dependency of {phi}* for {gamma} = 0.5, 1, and 2 at D = 1. The X indicates field data of C. ferrugatus after Sakai (1997Go).

 

A generalized model
In this section, we extend the previous model to a more general one that can be applied to other species in addition to C. ferrugatus. The number of females that can be controlled by a male varies with haremic species (e.g., Aldenhoven, 1984Go; Robertson, 1974Go; Warner, 1988aGo, 1991Go). The primary female in a harem will be able to change sex when the harem is too big for the male to control. In fact, sex change has been induced by artificial addition of females to isolated harems (Lutnesky, 1994Go). Conversely, if a male imposes strict social control, he would be able to maintain even a branching harem, which holds twice as many females as a linear harem.

Consider a situation in which a branching harem could persist for a certain duration until it is terminated by one of two alternative events: (1) one of the females undergoes sex change to male, resulting in harem-fission (see Figure 6), or (2) either the male or one of the dominant females dies (see Figure 6). Note that the previous model assumed that only case 1 occurs immediately. In case 1, the focal female and the opponent engage in a lottery competition. Here we assume that the rates of takeover by the focal female and the opponent per unit time, a and a*, are proportional to the {gamma}th power of the energies invested in their growth, respectively:

(6)

(7)
where {sigma} represents the strength of social control by the male and is referred to as the "social control strength." When {sigma} is large enough, takeover does not occur. However, as {sigma} becomes smaller, the rate of sex change increases. When {sigma} goes to 0, the present model is reduced to the previous one, in which takeover occurs instantaneously, where the focal female wins at the probability {rho}({phi}f, {phi}o) as given by Equation 1. Note, however, that the social control strength, {sigma}, characterizes the situation specific to a branching harem, in which the resident male has to control two dominant females. Therefore even when {sigma} becomes 0, a male can sufficiently control the single dominant female in a linear harem regardless of the total number of females.



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Figure 6 Possible fates of a branching harem in the generalized model. White symbols indicate the focal female or its sexual transition to male, and black symbols indicate the opponent female or the resident male. The branching harem will shift its state by one of two alternative events: one of the females changes to male, resulting in harem-fission (1, 2), or either the male or one of the dominant females dies (3, 4, 5). The X marks signify the death of an individual, and arrows indicate sex changes.

 

If such diverging pathways for a branching harem are taken into account at each corresponding step in the basic model shown in Figure 3, there are 20 possible routes. For this generalized model, we calculate the reproductive success of the primary female at the ESS in the same way as in the previous model (see Appendix B for how to derive the probabilities of occurrence of the five alternative events in Figure 6).

We first examine how the social control strength, {sigma}, relates to {Phi}*. Figure 7 shows {Phi}* plotted against {sigma} for all combinations of {gamma} = 1, 2 and n = 2, 3, 6, when D = 1. When {sigma} is zero, {Phi}* coincides with the results from the basic model as expected. As {sigma} increases, {Phi}* decreases at first and then turns to increase monotonically until it reaches unity at a certain social control strength. The initial decrease is enhanced with increase in either n or {gamma}. Note, however, that for the special case of n = 6 and {gamma} = 2, {Phi}* starts with 0 so that there is no minimum. The state of {Phi}* = 1 reached at large values of {sigma} means that the female spawns maximally. The occurrence of this state is readily understandable because, if social control strength is sufficiently large, a female has scarce chances for takeover, so that she could optimize her reproductive success by spawning at the maximal rate. But why there is an initial decrease in {Phi}* as the level of social control rises above zero? The likely reason may be that as social control increases, so too does the expected reproductive success of becoming a male, since the male has the opportunity to maintain a branching harem. In addition, the generalized model includes an extra state (marked as 4 in Figure 6), at which a current decrease in spawning of the focal female will open the way to greater reproductive success by subsequent sex change. Furthermore, the enhanced initial decrease in {Phi}* with increases in n or {gamma} is explainable by the fact that sex change should be advantageous because of a high reproductive rate as male or a high winning efficiency, respectively.



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Figure 7 Relationship between social control strength, {sigma}, and {Phi}* for D = 1. The solid lines and broken lines indicate the results for {gamma} = 1 and 2, respectively. At {sigma} = 0, {Phi}* corresponds to the results from the basic model.

 

Figure 8 illustrates the mortality dependency of {Phi}* for n = 3 and 6, when {sigma} = 0.05 and {gamma} = 1, the conditions under which a moderate degree of social control is present. For comparison, the broken lines in Figure 8 show the corresponding results from the basic model, which is equivalent to the extreme case in the generalized model for {sigma} = 0 (no social control). Changes of {Phi}* with D when {sigma} = 0.05 are more marked than in the case of {sigma} = 0. More specifically, {Phi}* is smaller in the generalized model than in the basic model when D is below a certain value, but that relation becomes reversed at higher D. This difference may again be explained by the same argument as above: Although social control increases the benefit of becoming male, it simultaneously increases the cost of competing, as it delays the opportunity for sex change. When D is low, the benefit dominates to facilitate sex change. Conversely, when D is high, the cost is more important, resulting in repressed sex change.



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Figure 8 The mortality dependency of {Phi}* for combinations of n = 3, 6, and {sigma} = 0.05, 0, when {gamma} = 1. The solid lines indicate the results for a moderate degree of social control, {sigma} = 0.05, and broken lines indicate the results for no social control, {sigma} = 0, which corresponds to the basic model (see Figure 4a).

 


    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 RESULTS
 DISCUSSION
 APPENDIX A
 APPENDIX B
 REFERENCES
 
Haremic fishes undergo sex change in three different modes, takeover sex change, harem-fission sex change and bachelor sex change, under various environmental and social contexts. C. ferrugatus has been reported to show variable spawning rates, depending on whether they undergo takeover sex change or harem-fission sex change (Sakai, 1997Go). Here we developed a model to capture the life history of protogynous haremic fish in which two primary females partake in a game to gain the dominant status in the presence of varying social control by the male. By incorporating a new conceptual parameter, {sigma}, the social control strength, this model allows us to quantitatively evaluate the spawning rate at the ESS.

As a general trend, a high spawning rate of the dominant female is favored when the social control strength ({sigma}) is strong, the relative mortality rate of male to that of female (D) is high, the harem size (n) is small, and the winning efficiency ({gamma}) is low (see Figures 4, 5, 7, and 8). If these conditions are satisfied in proper combinations and to sufficient degrees, a female will continue to spawn maximally until a loss of the male opens the chance of takeover sex change. Conversely, she will decrease her spawning rate as these conditions are reversed. The tactics of restrained spawning may be adopted in anticipation of harem-fission sex change in the near future. In extreme cases, a female completely stops spawning in a way analogous to bachelor sex change (Figures 4, 5, 7, and 8). Meanwhile, the model also predicts an intriguing situation where the spawning rate attains a minimum at an intermediate value of {sigma} when the harem size is large (Figure 7).

In the case of harem-fission sex change in C. ferrugatus studied by Sakai (1997Go), the observed spawning frequency fits reasonably well with the theoretical model when the winning efficiency, {gamma}, is assumed to be 2. This implies that the tactics of restrained spawning may efficiently enhance the ability to compete for dominant status. Harem-fission sex change has also been observed in C. interruptus, C. tibicen (Moyer and Zaiser, 1984Go), Labroides dimidiatus (Robertson, 1974Go), and C. ferrugatus at another location (Moyer, 1987Go). Robertson (1974Go) reported that the harem-fission sex change occurred in Labroides dimidiatus when social control by the male was weakened in either of the following situations: the male's home range was shifted away, harem size was so large as to contain more than two branches, and the female reduced interactions with the male by staying on the border of the male's territory. Another example of weakened social control was seen with C. tibicen in Miyake Island (Moyer and Zaiser, 1984Go), where the females' home ranges were sparsely distributed at distances of 20-30 m from each other and the male sequentially visited with females in his harem. There the largest female was found to spawn at a markedly reduced rate of 33%, while medium-sized females spawned at 87%. Furthermore, in enclosure experiments of C. potteri, Lutnesky (1994Go) demonstrated that a larger harem size facilitates sex change in the presence of the male. These observations seem to fit well with the predictions from our theoretical model. The above noted fishes were also reported to undergo bachelor sex change. Our model may be applicable to those cases as well, although sufficient data are not yet available to perform fitting with the model.

Mathematical models for bachelor sex change have previously been proposed from different angles by Aldenhoven (1986Go) and Iwasa (1991Go). Aldenhoven (1986Go) found that C. bicolor on the Great Barrier Reef is apt to undergo bachelor sex change when the harem density is high (i.e., the number of adjacent harems is 5.1), so that bachelors have a short waiting time before acquiring a harem. Aldenhoven proposed a model to evaluate the reproductive value of staying female or becoming a bachelor male under the assumption that bachelor males randomly gain ownership of vacated harems. The study suggested that females assess the number of bachelors and the harem density to decide whether they should change sex. As a result, there is a frequency-dependent equilibrium between takeover sex change and bachelor sex change. On the other hand, bachelor sex change seldom occurs when the number of adjacent harems is less than three, and hence the waiting time becomes long. This situation seemingly resembles that of C. ferrugatus studied by Sakai (1997Go), in which the number of adjacent harems is two to three. Under such conditions, however, females of C. bicolor spawn maximally, unlike C. ferrugatus, which shows restrained spawning. This difference may be related to the fact that the gonad weight of C. bicolor increases with its body size (Aldenhoven, 1984Go), whereas C. ferrugatus does not have such a tendency (Sakai, 1996Go). Therefore, it may be advantageous for a large, dominant female of C. bicolor, but not C. ferrugatus, to maintain her full reproductive activity while she is waiting for the chance of takeover sex change.

Iwasa (1991Go) used dynamic programming to analyze the optimal sex change timing without spatial restriction or social control. He showed that bachelor sex change may occur if reproductively active individuals suffer from greater mortality or reduced growth rate and found that there is a sexual difference in fertility increases with size (age). Our result resembles his result despite the difference in the assumed social structure.

The novelty of the present model is that it is a highly mechanistic one which focuses on the life history of the dominant females in flexible haremic structures and thus can estimate the ESS optimal spawning frequency as a continuous variable. With this framework, the model can explain how various modes of sex change arise depending on life-history parameters, the degree of social control, and the harem structure. Although the present model, either the basic model or the generalized version, contains a number of assumptions specific to C. ferrugatus, similar mechanistically based approaches with appropriate modifications would be extendable to a wider variety of haremic species.


    APPENDIX A
 TOP
 ABSTRACT
 INTRODUCTION
 RESULTS
 DISCUSSION
 APPENDIX A
 APPENDIX B
 REFERENCES
 
Derivation of the average reproductive success as given by Equation 3
Here we first describe the detailed procedure for derivation of average reproductive success for route 1 of Figure 3. Let t1 and t2 denote the times of death of one male and the focal female after sex change, respectively. Then the following events occur successively at the respective probabilities indicated: (1) All the individuals (the two males and the focal female and the opponent) survive until t1, exp(-2{delta}mt1) exp(-2{delta}ft1); (2) one of the males dies between t1 and t1+dt1, 2{delta}mdt1; (3) the focal female wins, {rho}({phi}f, {phi}o); (4) the focal female newly converted to male survives until t2, {delta}mexp[-{delta}m(t2 - t1)]; (5) the converted male dies between t2 and t2 + dt2, {delta}mdt2. Multiplying these probabilities yields the overall probability of these events as:

The reproductive success of the focal female during these events is given by {phi}ft1 + {phi}m(t2 - t1), where the first and second terms represent gains as female and male, respectively. Thus, we have the average reproductive success for route 1 by multiplying the overall probability defined above and the corresponding reproductive success followed by integrating the resultant product with respect to t1 and t2 (t2 > t1 >0):

(A1)
In an analogous manner, the reproductive successes for the remaining routes can be derived as follows:

(A2)

(A3)

(A4)

(A5)

(A6)
Straightforward integration of the above equations yields Equation 3 in the text.


    APPENDIX B
 TOP
 ABSTRACT
 INTRODUCTION
 RESULTS
 DISCUSSION
 APPENDIX A
 APPENDIX B
 REFERENCES
 
A brief description of how to derive the probabilities of the five alternative events in Figure 6
In event 1 in Figure 6, the focal female wins and changes to male leading to harem fission. The probability for this event to occur between t and t + dt after formation of the branching harem is given by aexp(-{delta}mt - 2{delta}ft - at - a*t)dt, where the term exp(-{delta}mt - 2{delta}ft - at - a*t) represents the probability that neither takeover nor any death occurs before t, and adt is the probability that the focal female takes over between t and t + dt. In a similar way, the corresponding probability for the opponent to win (event 2) is given by a*exp(-{delta}mt - 2{delta}ft - at - a*t)dt.

In the remaining three events (3, 4, and 5 in Figure 6), death occurs to either the male, the opponent, or the focal female. The probability of these events is given by the product of the mortality rate of each individual, ({delta}mdt, {delta}fdt, or {delta}fdt), and the probability of all three to survive till t, exp(-{delta}mt - 2{delta}ff - at - a*t).


    ACKNOWLEDGEMENTS
 
We are grateful to Y. Iwasa, K. Kawasaki, T. Kuwamura, H. Seno, and S. Takahashi for their fruitful discussions. This work was supported in part by the Grant-in-Aid for Scientific Research Fund from the Japan Ministry of Education, Science, Culture and Sports (no. 08640804 and no. 09NP1501).


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 TOP
 ABSTRACT
 INTRODUCTION
 RESULTS
 DISCUSSION
 APPENDIX A
 APPENDIX B
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