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Journal of Theoretical Biology 307 (2012) 96–103 Contents lists available at SciVerse ScienceDirect Journal of Theoretical Biology journal homepage: www.elsevier.com/locate/yjtbi Impact of maximum sustainable yield on competitive community Sunčana Geček, Tarzan Legović n R. Bošković Institute, POB 180, Bijenička 54, HR-10002 Zagreb, Croatia H I G H L I G H T S c c c A system of n competing populations under proportional harvesting strategy is analyzed. When harvesting is selective, before reaching MSY, probably some species will disappear. In case of nonselective harvesting, before reaching MSY, species with r r eopt will disappear. a r t i c l e i n f o a b s t r a c t Article history: Received 16 August 2010 Received in revised form 18 April 2012 Accepted 20 April 2012 Available online 8 May 2012 A system of n competing logistical species of the Volterra type under proportional harvesting strategy is analyzed. In case of selective harvesting, when the effort is adjusted to each species, the optimum effort may result in the total maximum sustainable yield (TMSY1). When it exists, reaching TMSY1 does not affect the system stability character, but it does affect the state, and hence some populations may reach too small a value to persist in nature. If competition is strong, species with smaller biotic potential may be driven to extinction. In case the system is harvested with a common harvesting effort, such as in trawler fishery, the total maximum sustainable yield (TMSY2) is smaller than TMSY1, and all the species with lower or equal biotic potential to the optimum harvesting effort will be driven to extinction. In this case a call for implementation of the MSY is equivalent to a call for the extermination of some species and it runs directly against the Convention on Biological Diversity (CBD, 1992). Therefore, all legal documents advocating MSY in ecosystems starting with the Johannesburg Plan of Implementation (JPI, 2002) must be urgently retracted and replaced with adaptive management which will respect CBD. & 2012 Elsevier Ltd. All rights reserved. Keywords: Harvesting Competition model System of competitive populations 1. Introduction Schaefer (1954) defined the maximum sustainable yield (MSY) for one isolated logistic population in a peaceful environment under proportional harvesting. Since then, harvesting of one population has been investigated in random (Beddington and May, 1977; Ludwig, 1979; Abakuks and Prajneshu, 1981; Rotenberg, 1987; Jensen, 2005; Bousquet et al., 2008) and periodic environment (Legović and Perić, 1984). The consensus is that in nature the MSY will be smaller than in the peaceful environment. This result is expected to have even greater consequences for systems of populations. Namely, random and periodic perturbations affect populations directly and propagate through the system, affecting other populations indirectly. Larkin (1977) was the first to heavily criticize the application of the MSY concept to populations of organisms in ecosystems. May et al. (1979) showed that a great caution is needed before the n Corresponding author. Tel.:þ 385 1 46 80 230; fax: þ385 1 46 80 242. E-mail address: [email protected] (T. Legović). 0022-5193/$ - see front matter & 2012 Elsevier Ltd. All rights reserved. http://dx.doi.org/10.1016/j.jtbi.2012.04.027 concept is applied to ecosystems. In the Lotka–Volterra preypredator system (where the prey population obeys Mathusian growth) there is no MSY when a common harvesting effort is applied to prey and predator (Legović, 2003). Instead, the yield increases until the predator population is extinct. Using food web models Matsuda and Abrams (2005) and Walters et al. (2005) have shown that some species may go to extinction if MSY is applied to an ecosystem carelessly. Legović (2008) has shown that ten out of sixteen groups of demersal fish in the Adriatic Sea have been harvested beyond MSY (i.e., overfished) and that fishing prey and predator populations with the same harvesting effort to MSY may lead to extinction of predators. In a food chain or a cascade of food cycles Legović et al. (2010) have shown that harvesting any trophic level or a combination of trophic levels to MSY, except the top one, may lead to extinction of at least one species. Finally, indiscriminate harvesting of a system of independent populations to MSY is likely to cause extinction of species with lower biotic potentials (Jensen, 1991; Legović and Geček, 2010). The system of n competing populations has been investigated since the seminal work by Volterra (1931). The stability conditions which lead to persistence of all competing populations have S. Geček, T. Legović / Journal of Theoretical Biology 307 (2012) 96–103 been given by Strobeck (1973). In two competitors McClanahan (1995) found that when a superior competitor is harvested while the inferior one is left unharvested, the superior competitor is driven to extinction by the inferior competitor once harvesting raises the shared resource to a level that the inferior competitor can survive. He has also shown that the MSY of the superior competitor in the presence of the inferior competitor increases with the difference between their biotic potentials. Furthermore, when two competitors are harvested with the same effort, as effort intensifies a minor competitor with a smaller carrying capacity may become dominant if its biotic potential is higher (Legović, 2008). An ecosystem approach requires that sustainability of all species is ensured. On the other hand, MSY maintains only the sustainability of the yield at the maximum level. Since the two concepts may be contradictory to each other, the question is: What consequences do we expect from applying MSY to a system of n competing populations of the Volterra type? The equation of a logistic population dynamics subject to proportional harvesting (Schaefer’s model, 1954) is ð1Þ where r is the biotic potential (per capita birth rate minus death rate when N 5K), K is the carrying capacity, e is the harvesting effort. Harvesting effort is computed from the efficiency of harvesting tools, numbers of tools and the time they spend harvesting. The yield is : Y ¼ eN: The solution to N(t¼ 0)¼ N0 40 is ð2Þ the Eq. (1) with the initial NðtÞ ¼ AK=½1þ ðAK=N 0 1Þexp ðArtÞ condition ð3Þ where A¼(1 e/r). The solution approaches positive equilibrium value Nn ¼ Kð1e=rÞ ð4Þ when t-N (for every N0) if and only if the harvesting effort is smaller than the biotic potential (eor). The yield in the equilibrium is a quadratic function of e Y n ¼ eKð1e=rÞ: 2 2 3. A system of n competing populations and its stability First consider the system of two competing species of the Volterra type with population numbers N1 and N2: dN 1 =dt ¼ r 1 N 1 ð1ðN1 þ aN2 Þ=K 1 Þ ð6Þ dN 2 =dt ¼ r 2 N 2 ð1ðN2 þ bN 1 Þ=K 2 Þ ð7Þ where r1 and r2 are biotic potentials, K1 and K2 are the carrying capacities of the first and the second species respectively. Coefficients a and b are the per capita competition parameters of the second species on the first and of the first species on the second, respectively. The competition is of the interference type (Kot, 2001). The system has four equilibrium values a) b) c) d) n n ¼0, N2(1) ¼0; total extinction of both N1 and N2: N1(1) n n extinction of N1: N1(2) ¼0, N2(2) ¼K2; n n extinction of N2: N1(3) ¼K1, N2(3) ¼0; n n persistence of N1 and N2: N1(4) ¼(K1 aK2 )/F, N2(4) ¼(K2 bK1 )/F where F ¼1 ab. It is well known (Kot, 2001) that the necessary and sufficient n n conditions for (N1(4) , N2(4) ) to be a stable node are 2. A review of MSY of one isolated population in peaceful environment dN=dt ¼ rNð1N=KÞeN, 97 ð5Þ Since d Y/de o0, it has the maximum at e¼eopt ¼r/2, when Y ¼rK/4¼MSY. The MSY is obtained when the population arrives at Nn ¼K/2. If the population drops below K/2 we call it an overfished population or an overharvested stock. Of course, one may harvest with a greater harvesting effort than r/2, but then the yield will tend to a value which is smaller than MSY and the population will tend to an equilibrium value Nn oK/2, that is, to an overfished stock. Finally, as e approaches r, Nn approaches zero, i.e., the population tends to extinction. In an area of interest, fishing may be limited according to two different strategies: limiting fishing effort, as discussed above (i.e., limiting the number of fishing tools and the time interval when fishing is performed) or limiting the yield (often called quota). In case of limiting the quota, the MSY does not exist because the resulting Nn ¼K/2 is unstable. Hence, although often used, this strategy is eliminated from further consideration. K 1 aK 2 4 0 and K 2 bK 1 4 0: ð8Þ The conditions (8) imply: F ¼1 ab 40. To interpret the conditions (8), let us examine why would N2 in a system characterized by a ¼ b ¼0.5, (K1 ¼300)/(K2 ¼100) 4 (a ¼0.5) but (K2 ¼100)/(K1 ¼300) o(b ¼0.5) tend towards extinction? With a coefficient b, N1 suppresses N2 and hence with sufficiently large K1 with respect to K2, the impact of competition of N1 on N2 is too intense and N2 tends to extinction because dN2/ dt o0, while N1-Nn1 ¼K1. Note 1) In the above model of two competitive logistic species the niches of the two species do not overlap entirely, i.e., the competition is not complete. If that were the case, then a ¼ b ¼1 and the competitive exclusion of one species would occur. 2) Competition intensity is not the only factor which determines whether one species will be forced to extinction. The first and the second condition in (8) state that the environment plays a crucial role too (i.e., the ratio of K1 to K2). Consider a general system of n competing populations of the Volterra type 2 0 1 3 n X ð9Þ dN i =dt ¼ r i N i 41@ aij N j A=K i 5,i ¼ 1,. . .,n j¼1 where aii ¼1; r1,y,rn and K1,y,Kn are biotic potentials and carrying capacities of the n species, respectively; aij (iaj) is the competition coefficient of the j-th species on the i-th species. 3.1. Equilibrium states The system (9) can have at most 2n equilibrium states. One total extinction state and n states where only one equilibrium population is greater than zero always exist, there may be at most n!/(2!(n 2)!) combinations of equilibrium states where only two populations are greater than zero, n!/(3!(n 3)!) combinations of equilibrium states where only three populations are greater than zero, etc., n equilibrium states where all except one population are greater than zero and finally one equilibrium state where all 98 S. Geček, T. Legović / Journal of Theoretical Biology 307 (2012) 96–103 3.2. Extinction in a competition model populations are greater than zero. This last state is called the total persistence state. The total persistence state exists when the solution to the following system of linear equations: If the coefficients of the competition model between n ¼2 species satisfy inequalities K ¼ AN n K 1 aK 2 40 ð10Þ and K 2 bK 1 o 0, i.e., N n ¼ A1 K exists and has all components positive. In the above then for any system solution (N1(t), N2(t)) with N1(t0)40 and N2(t0)40 for some t0 40, N n ¼ ½N n1 ,. . .,Nnn T ,K ¼ ½K 1 ,. . .,K n T ðN 1 ðtÞ,N 2 ðtÞÞ-ðK 1 ,0Þ and A ¼ ½aij : If the matrix A is invertible, the equilibrium value for the i-th species is given by Cramer’s rule Nni ¼ det Ai =det A, i ¼ 1,. . .,n where Ai is the matrix formed by replacing the i-th column of A by the column vector K. The necessary and sufficient conditions that the system (9) has a stable equilibrium with all the Ni 40 are: det Ai 40 and n 2 additional conditions arising from Routh–Hurwitz Criterion for the characteristic polynomial of the Jacobian matrix J¼ diag (ri Nni /Ki) A to have all roots with negative real part (Strobeck, 1973). The conditions det Ai 40 imply det A40 (Strobeck 1973, Appendix A). In general, the criteria for n species to coexist together depend on the values ri, Ki, and aij, but there are some cases where only conditions on Ki and aij are needed. If the matrix A is symmetric and positive definite, then the Jacobian matrix will be stable. Therefore, in that case, requirements det Ai 40 establish the set of sufficient conditions. An example of a symmetric positive definite matrix is the competition matrix arising from the ecological niche theory (May and MacArthur, 1972). According to May and MacArthur, the one-dimensional resource spectrum sustains a series of species, each of which has a preferred position in the spectrum and a characteristic variance about the mean, as given by the utilization function. If all species utilization functions are the usual bell-shaped Gaussian curves with constant width w and separation d along the resource continuum, and if the resource spectrum is such that at the equilibrium all populations are equal, then the competition matrix ^2 A¼[a(i j) ] is symmetric and positive definite for all 0o a ¼ 2 exp( d /4w2)o1. This means that that the stability sets no limit to the species packing. But, the smallest eigenvalue of A (lmin E4Op (w/d) exp( p2w2/d2)), which determines the stability character, can be very narrow. In case of substantial niche overlap, lmin tends to zero faster than any finite power. This results in long damping times for the perturbed trajectory. In a more general case, if the utilization function of the i-th species is described by the probability density distribution fi(x) with the mean x0,i (center of the niche) and variance s2i (niche breadth), then the coefficient of competition between i-th and j-th species Z aij ¼ f i ðxÞf j ðxÞ dx characterizes the degree of the niche overlap. The quadratic form !2 Z X Z n n n X X aij yi yj ¼ f i ðxÞyi f j ðxÞyj dx ¼ f i ðxÞyi dx i,j ¼ 1 i,j ¼ 1 as t-N. Ahmad and Lazer (1996, 1998) studied the extension of this phenomenon to the case n42. They have shown that if the coefficients satisfy certain inequalities, then given a solution with positive initial values, the n-th component of the solution approaches zero, while the rest approach the solution to a smaller system. More specifically, Ahmad and Lazer (1996) proved that if the system coefficients satisfy Ki 4 n X aij K j ,1 r ir n1 j¼1 j ai then there exists a solution N1 ¼Nn1,y, Nn 1 ¼Nnn 1 to the system of linear equations Ki ¼ n1 X aij N j j¼1 with Nn1,y, Nnn 1 4 0. In addition, if det A 40 and the relation Kn o n1 X anj Nnj ð11Þ j¼1 holds, then for any system solution (N1(t), N2(t),y, Nn 1(t), Nn(t)) with Ni(t0)40, 1ri rn for some t0 40 ðN 1 ðtÞ,N 2 ðtÞ,. . .,N n1 ðtÞ,N n ðtÞÞ-ðN n1 ,Nn2 ,. . .,Nnn1 ,0Þ as t-N. Later, Ahmad and Lazer (1998) showed that det A40 is not the necessary condition, but that the inequality (11) is almost necessary and sufficient for the n-th species to approach extinction in the sense that if the condition (11) is changed to Kn 4 n1 X anj Nnj j¼1 then for any system solution (N1(t), N2(t),y, Nn 1(t), Nn(t)) with Ni(t0)40, 1ri rn for some t0 4 0 inf t Z t0 N i ðtÞ 4 0,1 ri r n and the persistence of all species is maintained. 4. MSY for a system of two competing populations If the two populations are subjected to their own proportional harvesting effort, e1 and e2 respectively (i.e., the selective harvesting), the equations become dN 1 =dt ¼ r 1 N 1 ½1ðN 1 þ aN2 Þ=K 1 e1 N1 ð12Þ dN 2 =dt ¼ r 2 N 2 ½1ðN 2 þ bN 1 Þ=K 2 e2 N2 : ð13Þ i¼1 is always positive definite, and the system (9) is dissipative in the sense of Volterra (Svirezhev and Logofet, 1983). For dissipative systems, the existence of the total persistence state is necessary and sufficient condition for its stability throughout the positive orthant (Volterra, 1931; Svirezhev and Logofet, 1983; Hofbauer and Sigmund, 1998; Logofet, 1993). The only equilibrium point in which both populations may be positive is Nn1 ¼ ½CaD=F ð14Þ Nn2 ¼ ½DbC=F ð15Þ where C ¼K1 (1 e1/r1) and D ¼K2(1 e2/r2), F ¼1 ab. S. Geček, T. Legović / Journal of Theoretical Biology 307 (2012) 96–103 The necessary and sufficient conditions that the system (12)–(13) has a stable equilibrium with Nn1 40 and Nn2 40 are C 40,D 4 0,CaD 4 0,DbC 4 0: ð16Þ The conditions (16) imply F ¼det A ¼1 ab 40. Now, in addition to the ratio of K1 to K2, the persistence of populations will depend on e1, r1, e2, r2, i.e., in general, the region where the persistence of both populations is guaranteed is reduced because more conditions on independent parameters need to be satisfied. However, there are cases when the competitive system cannot persist because conditions (8) are not satisfied, but with moderate harvesting of either or both species (depending on values K1, K2, r1 and r2), the community persistence is possible. The total yield in equilibrium is a quadratic function in both e1 and e2 Y t ¼ fe1 ½CaD þe2 ½DbCg=F: ð17Þ The total maximum sustainable yield is obtained when Yt is maximized with respect to e1 and e2. From qYt/qe1 ¼0 and qYt/ qe2 ¼0, and under the condition that the matrix of second derivatives (the Hessian) is negative definite, Yt is maximized when e1opt ¼ ðR H þ P LÞ=ðG LH2 Þ and e2opt ¼ ðP H þ R GÞ=ðG LH2 Þ, ð18Þ where G ¼ 2K 1 =r 1 ,H ¼ aK 2 =r 2 þ bK 1 =r 1 ,L ¼ 2K 2 =r 2 ,P ¼ K 1 aK 2 , R ¼ K 2 bK 1 : In case GL H2 40, the Hessian matrix of Yt (i.e., the matrix of second derivatives) is negative definite, the harvesting efforts e1opt and e2opt are positive, and Yt attains the maximum at (e1opt, e2opt). If, additionally, Nn1(e1opt, e2opt) and Nn2( e1opt, e2opt) are positive, then TMSY exists TMSY ¼ e1opt ½Cðe1opt ÞaDðe2opt Þ þ e2opt ½Dðe2opt ÞbCðe1opt Þ =F: ð19Þ In case both a and b tend to zero and hence the species are becoming independent, the condition holds and we have e1optr1/2, e2opt-r2/2 and TMSY-(r1K1 þ r2K2)/4. In case both a and b tend to one, and hence it is becoming increasingly unlikely for species to persist even without harvesting, the condition obviously does not hold and TMSY does not exist. In between the two above extremes lies a parameter region where unique e1opt and e2opt produce the TMSY. However, since 99 conditions on the existence of the maximal value of Yt are external, they do not necessarily imply Nni 40, i¼1,2 nor the stability of the equilibrium. When r1 ¼r2, K1 ¼K2 and a ¼ b, the TMSY exists and it is the global maximum (Fig. 1a and b). As the competition coefficients increase, the area of species coexistence narrows and the TMSY value decreases toward the MSY of one population. In the next example (Fig. 2) we investigate how TMSY affects populations characterized by a considerable difference in biotic potential (r1 ¼1, r2 ¼5). For a relatively small value of ab (ab ¼0.06) TMSY is obtained (Fig. 2a), both populations are positive and stable. When the competition intensity on the second species increases from b ¼0.1 to b ¼0.4, the expression (18) gives positive eopt values but there is no TMSY such that both populations are positive (Fig. 2b). Instead MSY of the second species (with a higher biotic potential) is obtained. For a ¼0.6, b ¼ 0.8 the expression (18) gives negative values for e1opt and e2opt. Obviously, TMSY has turned into MSY of the second population for which eopt ¼2.5 (Fig. 2c). The above examples show that TMSY exists if species have similar biotic potentials, carrying capacities and competition coefficients and if they do not compete intensively. All of these conditions are hardly ever met in nature. With the difference among parameters increasing, TMSY may become smaller than MSY of one of the populations or it may not even exist. 4.1. Equal harvesting efforts (e1 ¼e2 ¼e) In this case, which resembles trawler fishing and hunting where hunters shoot at both competitors whenever they have a chance, the harvesting effort on both populations is the same. The maximization of Yt given by (17) is obtained when eopt ¼ 1=2ðA þ BÞ=ðA=r 1 þ B=r 2 Þ where ð20Þ A ¼ K 1 ð1bÞ,B ¼ K 2 ð1aÞ: If the value of eopt ends up contradicting conditions (16), one of the two species will tend to extinction. This is because increasing harvesting effort moves the equilibrium point toward one of the axes, i.e., toward extinction of one population. On the other hand, the system does not admit a limiting cycle if the only equilibrium inside the positive quadrant has moved to one of the axes. Suppose r1 ¼r2 ¼r. Then eopt ¼ r/2 and conditions (16) reduce to conditions (8). In this case, the stability character of the system of two competitive species is unaffected by harvesting. However, the rate of return to the equilibrium is smaller. As the Fig. 1. The yield (Y) as a function of the harvesting efforts (e1, e2) for r1 ¼ r2 ¼1, K1 ¼ K2 ¼ 100 and equal competition coefficients: (a) a ¼ b ¼ 0.2 and (b) a ¼ b ¼0.6. Solid lines border the area where both Nn1 and Nn2 are positive (K1(1 e1/r1) 4 aK2(1 e2/r2) and K2(1 e2/r2) 4 bK1(1 e1/r1)). The pair (Nn1(e1opt, e2opt), Nn2(e1opt, e2opt)) is a stable equilibrium point. At the TMSY, neither N1 nor N2 are overfished. For smaller competition coefficients, TMSY value is higher and the equilibrium population is positive for larger domain of harvesting efforts (e1, e2). For higher competition coefficients the value of TMSY ¼rK/(2(1 þ a)) is closer to a single population MSY ¼rK/4. 100 S. Geček, T. Legović / Journal of Theoretical Biology 307 (2012) 96–103 Fig. 2. The yield (Y) as a function of the harvesting efforts for r1 ¼ 1, r2 ¼5, K1 ¼ K2 ¼ 100 and different competition coefficients. Solid lines border the area where both Nn1 and Nn2 are positive. (a) For a ¼ 0.6, b ¼0.1 the yield attains the global maximum and the pair (Nn1(e1opt, e2opt), Nn2(e1opt, e2opt)) is a stable equilibrium point (e1opt ¼0.4763, e2opt ¼2.5120). (b) For a ¼ 0.6, b ¼0.4 there is no optimal harvesting effort such that both species persist. The optimal harvesting efforts estimated from (18) are e1opt ¼0.8912 and e2opt ¼2.6586. The Hessian matrix is negative definite and Y attains a maximum, but at that maximum, the population Nn1 with smaller r has gone to extinction. (c) For a ¼ 0.6, b ¼ 0.8, the expression (18) gives negative values for e1opt and e2opt. difference between r1 and r2 increases, eopt moves toward the larger of the two biotic potentials and the equilibrium population of the species with lower biotic potential decreases more than in the previous case. It is clear that if eopt Zmin {r1,r2} the species with smaller biotic potential tends to extinction. However, examination of conditions (16) shows that for increasing competition between species, extinction occurs even if eopt is smaller than min {r1,r2}. For example, if K1 ¼K2, r1 ¼1, r2 ¼2 and a ¼ b ¼0.5, the optimum harvesting effort which produces TMSY is eopt ¼0.666. It turns out that with this effort, condition C/D4 a is not satisfied and N1 tends to extinction. Hence, TMSY becomes MSY of the second population and then eopt is not given by the expression (20) but it is simply eopt ¼r2/2¼1. In case K1 ¼200 and K2 ¼100 or a ¼ b r0.4 both species persist while TMSY is reached. Hence, for species which differ in biotic potentials for a factor of two and with approximately the same carrying capacities, it is already possible that the optimum harvesting effort, which gives TMSY, induces extinction of the population with a lower biotic potential. In continuation to the example in Fig. 2, we investigate the coexistence of two species which differ considerably in biotic potentials and competition coefficients. In case of selective harvesting when the effort is adjusted to each species, the total maximum sustainable yield (TMSY1) is attained at (e1opt,e2opt) and both species are preserved (Fig. 2a). In case the system is harvested with a common harvesting effort, the TMSY does not exist (Fig. 3). Instead, the MSY of the second species is obtained when the first species has already gone to extinction. In the next case, species with the same biotic potential, different carrying capacity and a small value of ab ¼0.04 (a ¼ b ¼ 0.2) are investigated. TMSY exists and (Nn1(eopt), Nn2(eopt)) is a stable equilibrium point (Fig. 4). Populations do not switch dominance and at the TMSY point, neither N1 nor N2 are overfished. Consider an example with even smaller value of ab ¼0.02, but where the effect of the second population on the first has decreased to a ¼0.1. Biotic potential of the first population is smaller but its carrying capacity is higher. TMSY exists and (Nn1(eopt), Nn2(eopt)) is a stable equilibrium point (Fig. 5). Populations switch their dominance as e increases toward eopt. Now the MSY of the second population is higher than TMSY when both populations are present. In case carrying capacities are the same (K1 ¼K2 ¼100), biotic potentials differ r1 ¼1, r2 ¼2, and a ¼ b ¼0.2, TMSY exists and (Nn1(eopt), Nn2(eopt)) is a stable equilibrium point (Fig. 6a). An increase in competition to a ¼ b ¼0.4, still produce TMSY but Fig. 3. The equilibrium population values (Nn1 and Nn2) and the yield (Y) as functions of the common harvesting effort (e) for r1 ¼ 1, K1 ¼ 100, r2 ¼5, K2 ¼ 100, a ¼0.6, b ¼0.1. The yield starts as an increasing function of the harvesting effort, and when Nn1 has gone to zero, it continues as a parabola. There is no optimal harvesting effort, because for eopt ¼0.6633, estimated from (20), the population Nn1 with smaller r tends to extinction. The MSY ¼r2 K2/4¼ 125 is composed of Nn2 only. it will not be recognized in practice because it is smaller than MSY of the second population. In case the competition is asymmetric (a ¼0.2 and b ¼1) the optimum harvesting effort results in MSY of the second population which has the higher biotic potential (Fig. 6c). Obviously, given the same effort, the yield decreases with increasing competition among species (compare Fig. 6a and b). If the competition is strong enough, TMSY may turn into the MSY of one population (Fig. 6b). In case biotic potentials, carrying capacities, or competition coefficients differ considerably, even if it exists, TMSY may not be the global maximum. Instead, MSY of one population (when the other species is extinct) may be higher. 5. MSY for a general system of competitive populations When the system of n competing species of the Volterra type is subjected to a proportional harvesting, population Eq. (9) become 2 0 1 3 n X 4 @ A dN i =dt ¼ r i N i 1 aij N j =K i 5ei Ni ,i ¼ 1,. . .,n: ð21Þ j¼1 S. Geček, T. Legović / Journal of Theoretical Biology 307 (2012) 96–103 Fig. 4. The equilibrium population values (Nn1 and Nn2) and the yield (Y) as functions of the harvesting effort (e) for r1 ¼ r2 ¼ 1, K1 ¼100, K2 ¼50, a ¼ b ¼0.2. (Nn1(eopt), Nn2(eopt)) is a stable equilibrium point. Populations do not switch dominance. At the TMSY, neither N1 nor N2 are overfished. Constants e1,y,en are harvesting efforts on respective populations. There may be again at most 2n equilibria of which there may be only one total persistence state 1 n N ¼A B ð22Þ T where B¼[K1(1 e1/r1), y, Kn(1 en/rn)] . The total yield in equilibrium is Yt ¼ n X ei N ni ð23Þ i¼1 From the n normal equations qYt/qei ¼0, i¼1,y,n and if the Hessian is negative definite, one can find eopt when Yt is maximized. The new equilibrium is Nn(ei,opt) and the total maximum sustainable yield is TMSY ¼ n X ei,opt N ni ðei,opt Þ: 101 Fig. 5. The equilibrium population values (Nn1 and Nn2) and the yield (Y) as functions of the harvesting effort (e) for r1 ¼ 1, K1 ¼100, r2 ¼4, K2 ¼ 50, a ¼0.1, b ¼ 0.2. The yield starts as an increasing function of the harvesting effort, and when Nn1 has gone to zero, it continues as a quadratic function of only Nn2 population. (Nn1(eopt), Nn2(eopt)) is a stable equilibrium point. Populations switch dominance as e increases. TMSY is achieved when both populations persist. If the global MSY is enforced, the first population goes to extinction, while the second persists at Nn2 ¼ K2/2. The relevant question is: will harvesting the system of n competing populations with eopt (when the yield will tend to TMSY) ensure Nni (eopt)40, for all i¼1, y, n? If (ri, Ki) are approximately the same as (rj, Kj), for all i a j, and all the competition coefficients are approximately the same (which is rarely the case in nature), the stability character of the system of n populations is unlikely to change. Otherwise, there exists a possibility that at least the population with the smallest biotic potential, carrying capacity, or both will be driven to extinction. Since in nature species differ widely in their ri and Ki parameters, there is a high probability of having more than a few species driven to extinction as a consequence of enforcing TMSY. ð24Þ i¼1 Even if all equilibrium populations are positive and if the equilibrium is stable, due to harvesting some populations may decrease dramatically. Populations that were already small before harvesting, may become too small to persist in nature because of demographic stochasticity. More often, however, at least one equilibrium population will turn to be zero or negative. Namely, if there exist a species with low r and K values (hence contributing little to Yt but affecting through competition a species with higher biotic potential), Yt may be higher if this species is eliminated and therefore eopt will be adjusted to a value that drives this species to extinction. 5.1. Equal harvesting efforts (e1 ¼e2 ¼y¼en ¼e) In this case Yt ¼ e n X 6.1. Prospect of adjusting the quota to TMSY In this paper only the impact of proportional harvesting strategy on a competitive community to achieve TMSY is analyzed. Adjusting quota to TMSY is not analyzed because it is well known that this strategy does not admit a stable MSY even in a single population governed by the logistic growth (Beddington and May, 1977). Hence, for adjusting quota to reach the value equivalent to TMSY using proportional strategy, the conclusion would have been trivial: no population in a competitive community would persist. 6.2. Harvesting to TMSY and extinction of species Nni ðeÞ ð25Þ i¼1 2 2 Since Yt is a quadratic function in e, if q Yt/qe o0, only one maximum will exist. The maximum can be obtained from setting qYt/qe¼0 and solving the corresponding linear equation for eopt. The resulting total maximum sustainable yield is TMSY ¼ eopt 6. Discussion n X i¼1 Nni ðeopt Þ: ð26Þ A competitive community is characterized with smaller population values than in the case without competition. Harvesting further diminishes the populations. Harvesting to TMSY means adjusting harvesting effort to the most productive species. If the resulting eopt is higher than, or equal to, the biotic potential of, say m( on) species in the community, certainly these m species will be driven to extinction. In addition, there may be species whose biotic potential is higher than eopt and which would also be driven to extinction due to existing competition of other species. 102 S. Geček, T. Legović / Journal of Theoretical Biology 307 (2012) 96–103 Fig. 6. The equilibrium population values (Nn1 and Nn2) and the yield (Y) as functions of the harvesting effort (e) for r1 ¼ 1, K1 ¼ K2 ¼ 100, r2 ¼2 with different combinations of competition coefficients: (a) for a ¼ b ¼ 0.2, (Nn1 (eopt), Nn2 (eopt)) is a stable equilibrium point. The yield starts as an increasing function of the harvesting effort, and when Nn1 has gone to zero, it continues as a parabola of only Nn2 population. While e is increasing toward eopt, switching does not occur. The global TMSY is achieved while both populations persist. For e4 8/9, Nn1 goes to zero. At the TMSY, Nn1 is overfished. (b) For a ¼ b ¼ 0.4, (Nn1 (eopt), Nn2 (eopt)) is a stable equilibrium point. While e is increasing, switching does not occur. TMSY exists where both populations persist, but this TMSY will not be recognized in practice, since soon after the first population has gone to extinction, the yield increases toward a global MSY which is composed of the second population only. (c) For a ¼ 0.2, b ¼ 1 the optimal harvesting effort is eopt ¼ r2/2 ¼ 1 but it does not correspond to both positive equilibrium population values. For e48/9 the population Nn1 with smaller r goes to extinction. While e is increasing the dominance is switched. The MSY is composed of the second population only (Nn2 ¼ K2/2). 6.3. A relationship between TMSY and CBD It is expected that adjusting harvesting effort to one indiscriminative value, characteristic of fishery using trawlers, in order to reach TMSY will be even more devastating for the competitive community than a community of independent populations (Legović and Geček, 2010). Even if TMSY is achieved, less productive species are not likely to be preserved. By becoming extinct from the competitive community, they do not interfere with the most productive species on which TMSY depends. Hence, by achieving TMSY one not only ignores the less productive species, but works directly against their survival and therefore against the CBD (1992). 6.4. Indiscriminative versus selective harvesting practices It has been found earlier (Walters et al., 2005) that nonselective gear (trawling) is harmful to the ecosystem and that one should change fishing towards selective harvesting. This is in partial agreement with our results that selective harvesting to TMSY is less likely to drive species to extinction than a common harvesting effort. 6.5. A comparison of TMSY impact on a competitive community to other ecosystem models Competitive communities are ‘‘horizontally’’ structured (Svirezhev and Logofet, 1983) within one trophic level. While they are present in most ecosystems and at most trophic levels, in addition, ecosystems are structured including several trophic levels, so the question of the comparison between effects of TMSY on competitive community with other ecosystem models arises. Matsuda and Abrams (2005) analyzed a model of six species including five trophic levels and two prey species. They found that reaching TMSY usually causes extinction of species. In a food chain and in a cascade of food cycles, harvesting any species to MSY which is not a top predator, or harvesting a combination of species to TMSY is likely to cause extinction of all species in trophic levels above the lowest harvested species (Legović et al., 2010). Hence we expect that harvesting to TMSY ecosystems with more trophic levels will produce extinction of species similarly to a competitive community. Perhaps the simplest comparison is harvesting to TMSY a competitive community versus a community of independent species. If the optimum harvesting effort required to reach TMSY is greater or equal to the biotic potential of m species (mon, where n is the number of species in the community of independent species), these m species will become extinct. Similar, although somewhat less restrictive result may be expected in a community characterized by facultative mutalistic interactions (Legović and Geček, 2012). In the competitive community with the same distribution of biotic potentials of participating species, generally we expect a greater number of species to end up in extinction. 6.6. Simulation of a competitive community Dynamics of a competitive community may be analyzed using any of the general purpose simulation packages such as R project (odesolve), Scilab, Simile, Stella, Madonna and many others (for a comprehensive list see Legović and Benz, 2009). Since reaching MSY, or more generally TMSY, is a control problem one may use Scilab which includes control system design and analysis modules or a dedicated software written for Matlab, such as GPOPS (Rao et al., 2008). 7. Conclusions There are two extreme cases of proportional harvesting of species in a competitive community: (a) adjusting harvesting effort to each species, i.e., using selective harvesting, and (b) indiscriminate harvesting where the harvesting effort is approximately the same for all the species, like in trawler fishing. In the case (a), TMSY may exist with all species present if competition is weak and Ki/ri ratios are not too different between species. However, these conditions are unlikely to be met in nature, and hence most often some species will be lost. Furthermore, reaching TMSY may threaten the persistence of species whose populations were small before commencement of harvesting. They may diminish to a value which does not allow them to persist in nature, because a critical population level for survival is needed for each species. In the case (b), when TMSY exists, all species will frequently not be present in the yield, i.e., some will be driven to extinction. The most likely candidates for extinction are species with smallest biotic potential or carrying capacity or both. During harvesting, the intensity of competition among species works against the S. Geček, T. Legović / Journal of Theoretical Biology 307 (2012) 96–103 persistence of the system. The analyzed cases considered the difference in biotic potential only for a factor of two to five and have already shown that TMSY does not necessarily mean persistence of species. In nature, the differences in biotic potentials and the carrying capacities of competing species are much larger, hence species extinction as a consequence of application of TMSY may be widespread. The main message is: the maximum sustainable yield is an external condition which does not hold any guarantee that all the species will persist. To the contrary, calling for application of MSY (which in our case is equivalent to TMSY) is most likely a call for the extermination of species in a competitive community in nature, where the biotic potentials and the carrying capacities differ widely. Therefore, in order to urgently stop the path from overfishing to extinction of species, one must first retract all declarations which call for the application of MSY in ecosystems, and then start applying adaptive management in agreement with the CBD. Acknowledgments This work was funded by the Croatian Ministry for Science, Education and Sport. We are very grateful to the editor and to four excellent reviewers for a number of useful suggestions. References Abakuks, A., Prajneshu, 1981. An optimal harvesting policy for a logistic model in a randomly varying environment. Math. Biosci. 55, 169–177. Ahmad, S., Lazer, A.C., 1996. One species extinction in an autonomous competition model. In: Proceedings of the First World Congress on Nonlinear Analysis, Walter de Gruyter, Berlin. Ahmad, S., Lazer, A.C., 1998. Necessary and sufficient average growth in a Lotka– Volterra system. Nonlinear Anal. 34, 191–228. Beddington, J.R., May, R.M., 1977. Harvesting natural populations in a randomly fluctuating environment. Science 197, 463–465. Bousquet, N., Duchesne, T., Rivest, L.-P., 2008. Redefining the maximum sustainable yield for the Schaefer population model including multiplicative environmental noise. J. Theor. Biol. 254, 65–75. CBD, 1992. Convention on Biological Diversity. UNEP, Nairobi, Kenya. /http://www. cbd.int/S. Hofbauer, J., Sigmund, K., 1998. The Theory of Evolution and Dynamical Systems. Cambridge University Press, Cambridge. 103 Jensen, A.L., 1991. Multiple species fisheries with no ecological interaction: two-species Schaefer model applied to lake trout and lake whitefish. J. Mar. Sci. 48, 167–171. Jensen, A.L., 2005. Harvest in a fluctuating environment and conservative harvest for the Fox surplus production model. Ecol. Model. 182, 1–9. JPI, 2002. Johannesburg Plan of Implementation. /http://www.un.org/esa/sus tdev/documents/WSSD_POI_PD/English/POIToc.htmS. Kot, M., 2001. Elements of Mathematical Ecology. Cambridge University Press, Cambridge. Larkin, P., 1977. An epitaph for the concept of the maximum sustained yield. Trans. Am. Fish. Soc. 106, 1–11. Legović, T., 2003. The exclusive economic zone - a first step toward sustainable management of marine ecosystems. Croatian Int. Relations Rev., 9 Dossier, 35–39. Legović, T., 2008. Adriatic sea: impact of the demersal fishery and evidence of the Volterra principle to the extreme. Ecol. Model. 212, 68–73. Legović, T., Benz, J., 2009. Modelling and Simulation links. /http://ecobas.org/ www-server/mod-info/index.htmlS. Legović, T., Geček, S., 2010. Impact of maximum sustainable yield on independent populations. Ecol. Model. 221, 2108–2111. Legović, T., Geček, S., 2012. Impact of maximum sustainable yield on mutualistic communities. Ecol. Model. 230, 63–72. Legović, T., Klanjšček, J., Geček, S., 2010. Maximum sustainable yield and species extinction in ecosystems. Ecol. Model. 221, 1569–1574. Legović, T., Perić, G., 1984. Harvesting population in a periodic environment. Ecol. Model. 24, 221–229. Logofet, D.O., 1993. Matrices and Graphs: Stability Problems in Mathematical Ecology. CRC Press, Boca Raton. Ludwig, D.A., 1979. Optimal harvesting of a randomly fluctuating resource I: application of perturbation methods. SIAM J. Appl. Math 37, 166–184. Matsuda, H., Abrams, P.A., 2005. Maximal yields from multispecies fisheries systems: rules for systems with multiple trophic levels. Ecol. Appl. 16, 225–237. May, R.M., Beddington, J.R., Clark, C.W., Holt, S.J., Laws, R.M., 1979. Management of multispecies fisheries. Science 205, 267–277. May, R.M., MacArthur, R.H., 1972. Niche overlap as a function of environmental variability. Proc. Natl. Acad. Sci. USA 69, 1109–1113. McClanahan, T.R., 1995. Harvesting in an uncertain world: impact of resource competition on harvesting dynamics. Ecol. Model. 80, 21–26. Rao, A. V., Benson, D. A., Huntington, G. T., Francolin, C., Darby, C.L., Patterson, M.A., 2008. User’s Manual for GPOPS: A MATLAB Package for Dynamic Optimization Using the Gauss Pseudospectral Method, University of Florida Report. Rotenberg, M.., 1987. Effect of certain stochastic parameters on extinction and harvested populations. J. Theor. Biol. 124, 455–471. Schaefer, M.B., 1954. Some aspects of the dynamics of populations important to the management of commercial marine fisheries. Bull. Inter-Am. Trop. Tuna Comm. 1, 25–56. Strobeck, C., 1973. N species competition. Ecology 54, 650–654. Svirezhev, Yu.M., Logofet, D.O., 1983. Stability of Biological Communities. Mir, Moscow. Volterra, V., 1931. Lec-ons sur la Théorie Mathématique de la Lutte pour la Vie. Gauthier-Villars, Paris. Walters, C.J., Christensen, V., Martell, S.J., Kitchell, J.F., 2005. Possible ecosystem impacts of applying MSY policies from single-species assessment. J. Mar. Sci. 62, 558–568.