Lecture # November2017 Direct versus Indirect Interactions

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Presentation transcript:

Lecture # 21 14 November2017 Direct versus Indirect Interactions Exploitation vs. Interference competition Apparent Competition Competitive Mutualism Facilitation Food Chain Mutualism Trophic Cascades (top-down, bottom up) Complex Population Interactions (Colwell’s Plant-Pollinator System) Mutualisms Euglossine bees and orchids Heliconius butterflies (larval nitrogen reserves) Cattle Egret Commensalism Lecture # 21 14 November2017

Interspecific Competition leads to Niche Diversification Two types of Interspecific Competition: Exploitation competition is indirect, occurs when a resource is in short supply by resource depression Interference competition is direct and occurs via antagonistic encounters such as interspecific territoriality or production of toxins Lecture # 21 14 November2017

As part of UT's Core Curriculum, this course must meet standards and objectives of the Texas Higher Education Coordinating Board for Natural Science and Technology: o Communication Skills: effective development, interpretation and 
expression of ideas through written, oral and visual communication. 
 o Critical Thinking Skills: creative thinking, innovation, 
inquiry, and analysis, evaluation and synthesis of information. 
 o Teamwork: ability to consider different points of view and to work effectively with others to support a shared purpose or goal. 
 o Empirical and Quantitative Skills: manipulation and analysis of numerical data or observable facts resulting in informed conclusions. High School Mathematics: Algebra

Competitive Exclusion Georgii F. Gause

Coexistence of two species of Paramecium G. F. Gause

Outcome of Competition Between Two Species of Flour Beetles _______________________________________________________________ Relative Temp. Humidity Single Species (°C) (%) Climate Numbers Mixed Species (% wins) confusum castaneum _______________________________________________________________________________ 34 70 Hot-Moist confusum = castaneum 0 100 34 30 Hot-Dry confusum > castaneum 90 10 29 70 Warm-Moist confusum < castaneum 14 86 29 30 Warm-Dry confusum > castaneum 87 13 24 70 Cold-Moist confusum <castaneum 71 29 24 30 Cold-Dry confusum >castaneum 100 0 _______________________________________________________________________________ Thomas Park

Thomas Park

Recall the Verhulst-Pearl Logistic Equation dN/dt = rN [(K – N)/K] = rN {1– (N/K)} dN/dt = rN – rN (N/K) = rN – {(rN2)/K} dN/dt = 0 when [(K – N)/K] = 0 [(K – N)/K] = 0 when N = K dN/dt = rN – (r/K)N2

Inhibitory effect of each individual on its own population growth is 1/K Assumes linear response to crowding, instant response (no lag), r and K are fixed constants

S - shaped sigmoidal population growth Verhulst-Pearl Logistic K O 2

Sigmoidal population growth

Lotka-Volterra Competition Equations. competition coefficient Lotka-Volterra Competition Equations competition coefficient aij = per capita competitive effect of one individual of species j on the rate of increase of species i dN1 /dt = r1 N1 ({K1 – N1 – a12 N2 }/K1) dN2 /dt = r2 N2 ({K2 – N2 – a21 N1 }/K2) Isoclines: (K1 – N1 – a12 N2 )/K1 = 0 when N1 = K1 – a12 N2 (K2 – N2 – a21 N1 )/K2 = 0 when N2 = K2 – a21 N1 Alfred Lotka Vito Volterra

Intercepts: N1 = K1 – a12 N2 if N2 = K1 / a12, then N1 = 0 N2 = K2 – a21 N1 if N1 = K2 / a21, then N2 = 0

_1 _ / / \ r1 No competitors N1 K1 K competitors 2a N2 K1 competitors

Zero isocline for species 1 N1* = K1 – a12 N2

Four Possible Cases of Competition. Under the Lotka–Volterra Four Possible Cases of Competition Under the Lotka–Volterra Competition Equations _____________________________________________________________________ Species 1 can contain Species 1 cannot contain Species 2 (K2/a21 < K 1) Species 2 (K2/a21 > K 1) ______________________________________________________________________ Species 2 can contain Case 3: Either species Case 2: Species 2 Species 1 (K1/a12 < K2) can win always wins ______________________________________________________________________ Species 2 cannot contain Case 1: Species 1 Case 4: Neither species Species 1 (K1/a12 > K2) always wins can contain the other; stable coexistence ______________________________________________________________________ Vito Volterra Alfred Lotka

Lotka-Volterra Competition Equations. competition coefficient Lotka-Volterra Competition Equations competition coefficient aij = per capita competitive effect of one individual of species j on the rate of increase of species i dN1 /dt = r1 N1 ({K1 – N1 – a12 N2 }/K1) dN2 /dt = r2 N2 ({K2 – N2 – a21 N1 }/K2) Solve for Isoclines by setting dN/dt‘s equal to zero: (K1 – N1 – a12 N2 )/K1 = 0 when N1 = K1 – a12 N2 (K2 – N2 – a21 N1 )/K2 = 0 when N2 = K2 – a21 N1 Alfred Lotka Vito Volterra

Resultant Vectors

Saddle Point Point Attractor

Lotka-Volterra Competition Equations. for n species (i = 1, n): Lotka-Volterra Competition Equations for n species (i = 1, n): dNi /dt = riNi ({Ki – Ni – S aij Nj}/Ki) Ni* = Ki – S aij Nj where the summation is over j from 1 to n, excluding i Diffuse Competition S aij Nj Robert H. MacArthur

Lotka-Volterra Competition Equations. for 3 species: Lotka-Volterra Competition Equations for 3 species: dN1 /dt = r1 N1 ({K1 – N1 – a12 N2 – a13 N3 }/K1) dN2 /dt = r2 N2 ({K2 – N2 – a21 N1 – a23 N3 }/K2) dN3 /dt = r3 N3 ({K3 – N3 – a31 N1 – a32 N2 }/K3) Isoclines: dN/dt = 0 {curly brackets, above} (K1 – N1 – a12 N2 – a13 N3 ) = 0 when N1 = K1 – a12 N2 – a13 N3 (K2 – N2 – a21 N1 – a23 N3 ) = 0 when N2 = K2 – a21 N1 – a23 N3 (K3 – N3 – a31 N1 – a32 N2 ) = 0 when N3 = K3 – a31 N1 – a32 N2

Lotka-Volterra Competition Equations for n species. (i = 1, n): Lotka-Volterra Competition Equations for n species (i = 1, n): dNi /dt = riNi ({Ki – Ni – S aij Nj}/Ki) Ni* = Ki – S aij Nj where the summation is over j from 1 to n, excluding i Diffuse Competition S aij Nj

Alpha matrix of competition coefficients a11 a12 a13 . . . a1n a21 a22 a23 . . . a2n a31 a32 a33 . . . a3n . . . . . . . an1 an2 an3 . . . ann Self damping elements on the diagonal aii equal 1.

Mutualism Equations (Chapter 11) dN1/dt = r1N1 ({X1 – N1 + g12 N2} / X1) dN2/dt = r2N2 ({X2 – N2 + g21N1} / X2) N1* = X1 + g12 N2 N2* = X2 + g21N1

Evidence of Competition in Nature. often circumstantial. 1 Evidence of Competition in Nature often circumstantial 1. Resource partitioning among closely-related sympatric congeneric species (food, place, and time niches) Complementarity of niche dimensions 2. Character displacement, Hutchinsonian ratios 3. Incomplete biotas: niche shifts 4. Taxonomic composition of communities

Resource Matrix (m x n) Major Foods (Percentages) of Eight Species of Cone Shells, Conus, on Subtidal Reefs in Hawaii _____________________________________________________________ Gastro- Entero- Tere- Other Species pods pneusts Nereids Eunicea belids Polychaetes ______________________________________________________________ flavidus 4 64 32 lividus 61 12 14 13 pennaceus 100 abbreviatus 100 ebraeus 15 82 3 sponsalis 46 50 4 rattus 23 77 imperialis 27 73 Alan J. Kohn Radula

MacArthur’s Warblers (Dendroica) Robert H. MacArthur

Time of Activity Seasonal changes in activity times Ctenotus calurus Ctenophorus isolepis

Complementarity of Niche Dimensions, page 276 Anolis Thomas W. Schoener

Prey size versus predator size

Galápagos Finches Peter R. Grant David Lack “Darwin’s Finches”

Character Displacement in Hydrobia mud snails in Denmark (Thomas Fenchel) Snail shell length, mm