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Context dependent pollinator limitation Carol C. Horvitz 1, Johan Ehrlén 2 and David Matlaga 1 1 University of Miami, Coral Gables, FL 33124 USA 2 Stockholm University, SE-106 91 Stockholm, SWEDEN Evolutionary Ecology of Multispecific Interactions in Changing Environments ATBC 2007, Morelia, Michoacan, MEXICO
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Issue Supplemental pollination = higher plant fitness?
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Contexts Demographic, biotic, abiotic variability in the environment Ecological, evolutionary and conservation consequences of pollen limitation e.g. Ashman et al. 2004
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Candidate currencies for measuring fitness oFitness components oReproduction oSurvival oGrowth oPopulation growth rate oStochastic growth rate
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Demographic transitions and fitness in a constant world o N(t+1) = A N(t) o A is a population projection matrix o Transitions and contributions between stages, a ij = fitness components o λ = population growth rate
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o N(t+1) = X(t) N(t) o X(t) is a random variable A 1, A 2, A 3 …A K, K environmental states o Transitions and contributions in each environment, a ijβ o λ S = stochastic growth rate Tuljapurkar 1982, 1990 Demographic transitions and fitness in a variable world
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In a variable world: sequences, frequencies and new sensitivities o Environmental dynamics o sequences along sample paths o an expected long run stationary distribution o λ s is sensitive to perturbations of means, variances, and transitions in particular environmental states o E δ, E μ, E β and others… o Tuljapurkar et al. 2003 Am Nat o Horvitz et al. 2005 Ecology
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Lathyrus vernus Long lived perennial forest herb Ranges from central and northern Europe to Siberia Particularly well- studied example http://caliban.mpiz-koeln.mpg.de/~stueber/thome/band3/tafel_135_small.jpg
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not exactly tropical… Tullgarnsnäset SW of Stockholm 58º6’ N, 17º4’ E Deciduous forest Quercus, Fraxinus, Betula Quercus, Fraxinus, Betula
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Players Bombus (pollinator) Bruchus (seed predator) Demographic costs of seeds and beetles
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Field experiment Supplemental pollen increased seed set within the year BUT Next year’s flower production and growth reduced λ was negatively affected Ehrlen and Eriksson 1995, Ecology 69:652-656
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End of story? NO! o Changing the demographic context can offset costs to λ o In variable environments o the currency for measuring the effects is λ s o frequency and sequence of high pollination years relative to other kinds of years determine outcome
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Stages seeds seedlings small intermediate large vegetative large flowering dormant rhizome http://www.paghat.com/vetch.html Ehrlen and Eriksson 1995, Ecology 69:652-656
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Open-pollinated
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Ehrlen and Eriksson 1995, Ecology 69:652-656 Hand-pollinated
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Costs to fates of large flowering plants and to λ Shrink Go Dormant Flower Less More seeds Data in Ehrlen and Eriksson 1995, Ecology 69:652-656
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But 53% of seeds had been lost to beetles (both open and hand pollinated plants) Observed seeds = “Gross Seeds” - Beetles Beetles cost as much as seeds… Observed fates really for “Gross Seeds” Data in Ehrlen and Eriksson 1995, Ecology 69:652-656
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Elimination of seed predators lessens negative effect on λ Data in Ehrlen and Eriksson 1995, Ecology 69:652-656
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Demographic context: single constant environment (All simulations that follow use the predator-absent scenario)
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Higher seed survival can compensate for cost
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Higher germination can compensate for cost
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Higher seedling survival can NOT compensate for cost
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Demographic context: multiple environmental states (All simulations that follow use the predator-absent scenario)
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2-state model for variable environment Env at time t Env at time t+1 Probability rules that generate environmental sequences Columns sum to 1 Dot size indicates probability Color coded for environmental state to which the system transitions
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2-state IID models Increasing probability of going to a of going to a high pollination year high pollination year
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Variable environments: Increasing frequency of high pollination year decreases fitness
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Focus on world with 70% high, 30% low pollination What is the outcome of adding some high germination years among the low pollination years?
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Now there are three environments Low pollination (as before) High pollination (as before) Low pollination accompanied by High (9x) germination λ = 1.063 λ = 1.055 λ = 1.157
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3-state IID models High germination any time
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3-state Markov models High germination only after high pollination
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Variable environments: increasing frequency of high germination years increases fitness Sequence matters
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Conclusions Changing the demographic context can offset costs to λ In variable environments the currency for measuring the effects is λ s frequency and sequence of high pollination years relative to other kinds of years determine outcome
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Thanks o Rodolfo and John o 2006-08 NSF OPUS o Uppsala University o Stockholm University
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