COMPETITION (-,-) - Example: two or more annual plants compete for soil resources in spring: Species 2 Species 1 Each population has a negative effect on the other. dN1 dN2 d d N1dt 0 N 2 dt 0 dN2 dN1 Paramecium caudatum Testing the consequences of species interactions: Georgii Frantsevich Gause (b. 1910) Paramecium aurelia Gause’s competitive exclusion principle: Two species competing for the same resources cannot stably coexist if other ecological factors are constant. One of the two competitors will always overcome the other, leading to the extinction of this competitor: Complete competitors cannot coexist. Overcoming Gause’s exclusion principle: If two species utilize sufficiently separate niches, the competitive effects of one species on another decline enough to allow stable coexistence. Chthalamus Balanus The two species live in different sections of rock: Desiccation tolerance limits here Predation tolerance limits here The two species fundamental niche is where each organism can settle and thrive in the absence of the other: Here Balanus outcompetes Chthalamus Here Chthalamus outcompetes Balanus growth rate Balanus larvae settle Chthamalus larvae settle low middle Location in intertidal zone high Balanus alone Balanus fundamental niche growth rate Chthamalus alone Chthamalus fundamental niche low middle Balanus realized niche growth rate high Balanus and Chthamalus together Chthamalus realized niche low middle high Location in intertidal zone Frequency of occurrence (Werner and Platt 1976) Animals trapped as a function of time Diverse community of tropical rodents in Mexico Castro-Arellano & Lacher 2009 Some ants forage at different times. If ants forage at the same times, then not in the same place. 10:30 Coyote (10 – 25 kg) Food: sheep, poultry, mice, rabbits, ground squirrels, other small rodents, insects, reptiles, fruits and berries. Red fox (4 – 8 kg) Food: mice, voles, woodchucks, rabbits, chipmunks, fruits, insects, birds and eggs, carrion, garbage, amphibians, and reptiles. Relative food use Coyote Red Fox insects birds rodents rabbits Food item size young livestock LOTKA AND VOLTERRA (Pioneers of two-species models) Alfred J. Lotka (1880-1949) Chemist, ecologist, mathematician Ukrainian immigrant to the USA Vito Volterra (1860-1940) Mathematical Physicist Italian, refugee of fascist Italy Let’s say, two species are competing for the same limited space: In what ways can the species be different? K1 25 K2 100 The two species might have a different carrying capacities. time time r1 2 per year r2 4 per year The two species might have different maximal rates of growth. When alone each species might follow the logistic growth model: For species 1: K1 N1 dN1 r1 N1 dt K1 For species 2: K2 N2 dN2 r2 N 2 dt K2 How do we express the effect one has on the other? 4 purple squares have the same effect as 1 orange square. The effect of the small purple pecies on the growth rate of the large green species: 1 K1 N1 N 2 dN1 4 r1 N1 dt K1 The effect of the large orange species on the growth rate of the small blue species: K 2 N 2 4 N1 dN2 r2 N 2 dt K2 The Lotka-Volterra two-species competition model: K1 N1 N 2 dN 1 r1 N1 dt K1 K 2 N 2 N1 dN2 r2 N 2 dt K2 Two state variables: N1 and N2, which change in response to one another. 6 parameters: r1, K1, ,r2 ,K2 ,, which stay constant. and are new to us: they are called interspecific competition coefficients. Excel Worksheets: • Two-species competition The Lodka-Volterra Model predicts four outcomes for the competitive interaction: 1. Coexistence, no matter what the initial densities of the two species. 2. Species 1 always wins. 3. Species 2 always wins. 4. Depending on the initial densities, either species 1 or species 2 wins. Zero-growth isocline: The set of all {N1,N2} pairs that make the growth rate of either N1 or N2 equal to zero. K1 N1 N2 N2 K2 N1 This equation tells us where dN1/(N1dt) = 0. It’s called the N1 isocline. This equation tells us where dN2/(N2dt) = 0. It’s called the N2 isocline. ISOCLINES: N2 K1 N1 N2 K1 N2 K2 N1 N1 isocline K2 N2 isocline K1 N1 K2 This is called a state space graph. N2 K1 N1 isocline K2 The equilibrium! N2 isocline K1 N1 K2 The N1 isocline N2 K1 dN1/(N1dt) < 0 dN1/(N1dt) > 0 N1 K1 The N2 isocline N2 K2 dN2/(N2dt) < 0 dN2/(N2dt) > 0 N1 K2 This equilibrium is stable! K1 N2 K2 N1 isocline K1 Test the prediction. N1 N2 isocline K2 N2 K2 N2 isocline Case 2: • an unstable equilibrium • only one of the two species survives • which one survives depends on initial population densities. K1 N1 isocline K2 Test the prediction. N1 K1 Case 3: • no two-species equilibrium • species 1 always wins K1 N2 K2 Test the prediction. N1 K2 K1 Case 4: • no two-species equilibrium • species 2 always wins K2 N2 K1 Test the prediction. N1 K1 K2 K1 N2 Case1 : K2<K1/ and K1<K2/ N2 Case 2: K2>K1/ and K1>K2/ K1 K2 K1 K1 K2 N1 K2 Case 3: K2<K1/ and K1>K2/ K2 K2 K1 N1 Case 4: K2>K1/ and K1<K2/ K1 K2 K2 K1 K1 K2 When makes two species coexist? Each species must be its own worst competitor. Each species must be able to recover from low density, when the other is at carrying capacity. Mathematically: K2 < K1/ and K1<K2/ or if K1 = K2: <1 and <1 Intraspecific competition must exceed interspecific competition. Biologically, what does this mean? The resource requirements of members of the same species must be more similar than those of members of other species. Even when a species is at high density, enough resources are left over for the other species to achieve positive growth rates at low density.