From 81ecf87eef5ac2cf9bdaeded8e534b7af9179c6a Mon Sep 17 00:00:00 2001 From: mabarbour Date: Wed, 18 Sep 2019 14:30:03 +0200 Subject: [PATCH] update repo for Evolutionary Letters submission --- analyses/MV_landscapes.pdf | Bin 440922 -> 440922 bytes analyses/UV_landscapes.pdf | Bin 2932832 -> 2932832 bytes analyses/complex_simple_foodwebs_v4.jpeg | Bin 0 -> 190876 bytes analyses/delta_evolvability.pdf | Bin 5505 -> 5505 bytes analyses/larvalptoid_delta_evolvability.pdf | Bin 5409 -> 5409 bytes analyses/reproduce_analyses.html | 34 +- analyses/reproduce_analyses.knit.md | 2 +- analyses/reproduce_analyses.utf8.md | 2 +- .../figure-html/Delta evolvability-1.png | Bin 16481 -> 16481 bytes .../Egg-Parasitoid-Selection-1.png | Bin 420438 -> 420438 bytes .../Figure-Multivariate-Landscapes-1.png | Bin 211678 -> 211678 bytes ...arval vs Original delta evolvability-1.png | Bin 18066 -> 18066 bytes .../Long-term delta evolvability-1.png | Bin 16985 -> 16985 bytes .../figure-html/Multivariate_QQ-1.png | Bin 23730 -> 23730 bytes .../Plot Univariate RF Landscapes-1.png | Bin 530215 -> 530215 bytes .../Plot egg vs. egg ptoid coefficients-1.png | Bin 51267 -> 51267 bytes .../Plot egg vs. egg ptoid gradients-1.png | Bin 50802 -> 50802 bytes .../Plot egg vs. larval ptoid gradients-1.png | Bin 71765 -> 71765 bytes .../Plot egglarval coefficients-1.png | Bin 73945 -> 73945 bytes .../Plot food-web coefficients-1.png | Bin 74966 -> 74966 bytes .../figure-html/Plot food-web gradients-1.png | Bin 76152 -> 76152 bytes .../Plot long-term food-web gradients-1.png | Bin 77007 -> 77007 bytes .../Univariate-Fitness-Landscapes-1.png | Bin 533920 -> 533920 bytes .../figure-html/Univariate_histograms-1.png | Bin 54230 -> 54230 bytes analyses/selection_on_Platygaster.pdf | Bin 501917 -> 501917 bytes ...t.pdf => 201909-EvolutionLetters-Main.pdf} | Bin 4250511 -> 4241042 bytes ...volutionLetters-SupplementaryMaterial.pdf} | Bin 66969 -> 66981 bytes manuscript/manuscript.Rmd | 54 +-- manuscript/manuscript.log | 120 +++--- manuscript/manuscript.tex | 365 +++++------------- manuscript/supplementary_material.Rmd | 5 +- manuscript/supplementary_material.tex | 10 +- 32 files changed, 195 insertions(+), 397 deletions(-) create mode 100644 analyses/complex_simple_foodwebs_v4.jpeg rename manuscript/{manuscript.pdf => 201909-EvolutionLetters-Main.pdf} (93%) rename manuscript/{supplementary_material.pdf => 201909-EvolutionLetters-SupplementaryMaterial.pdf} (96%) diff --git a/analyses/MV_landscapes.pdf b/analyses/MV_landscapes.pdf index b806be3da1db0865c1739e770016cda0a3479238..96f1af5eef330b3dd708b30315348221223502f6 100644 GIT binary patch delta 49 zcmcchMe5cUsRp!gnULG+BmD9})xbf4=p_W8L-neZ4Mqx0!; z3I4qyF^Nk;l9H0NWF#v&$xA_sQj)S%q$)M3OGBCxNK4w%k*@TlF9R9MNX9aesmx?9 T3t7ra*0PbU>}3Dqka~Xs)EG4F diff --git a/analyses/complex_simple_foodwebs_v4.jpeg b/analyses/complex_simple_foodwebs_v4.jpeg new file mode 100644 index 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dcmZ3ewNPt<1)GJTp^2%{L_0AkYh%=L5ddpX2cQ4| delta 27 dcmZ3ewNPt<1)G_nnUR6vL_0AkYh%=L5ddoA2bKT; diff --git a/analyses/reproduce_analyses.html b/analyses/reproduce_analyses.html index feaff53..d0bcc9e 100644 --- a/analyses/reproduce_analyses.html +++ b/analyses/reproduce_analyses.html @@ -12,7 +12,7 @@ - + Consumer extinctions constrain phenotypic evolution in the resulting food web @@ -51,7 +51,7 @@

Consumer extinctions constrain phenotypic evolution in the resulting food web

Supplementary information

Code author: Matthew A. Barbour

-

2019-09-16

+

2019-09-18

@@ -526,14 +526,14 @@

Multivariate normality of phenotypic traits

Histograms of each phenotypic trait after transformation. The red line illustrates a normal distribution.

-Histograms of each phenotypic trait after transformation. The red line illustrates a normal distribution. +Histograms of each phenotypic trait after transformation. The red line illustrates a normal distribution.

Note also that in the multivariate quantile-quantile (Q-Q) plot, most points fall along the expected line, suggesting that our transformations provide a reasonable approximation of a multivariate normal distribution.

Multivariate quantile-quantile (Q-Q) plot to assess deviations from multivariate normality (black line).

-Multivariate quantile-quantile (Q-Q) plot to assess deviations from multivariate normality (black line). +Multivariate quantile-quantile (Q-Q) plot to assess deviations from multivariate normality (black line).

 

@@ -1223,7 +1223,7 @@

Selection surfaces for the gall midge: food-web treatments

Plot of larval survival and selection surfaces in each food-web treatment.

-Plot of larval survival and selection surfaces in each food-web treatment. +Plot of larval survival and selection surfaces in each food-web treatment.

 

@@ -2028,7 +2028,7 @@

Selection gradients for the gall midge: food-web treatments

Plot of standardized selection gradients acting on gall midges in each food-web treatment.

-Plot of standardized selection gradients acting on gall midges in each food-web treatment. +Plot of standardized selection gradients acting on gall midges in each food-web treatment.

 

@@ -3033,7 +3033,7 @@

Long-term selection gradients for the gall midge: food-web treatments

Plot of long-term standardized selection gradients acting on gall midges in each food-web treatment.

-Plot of long-term standardized selection gradients acting on gall midges in each food-web treatment. +Plot of long-term standardized selection gradients acting on gall midges in each food-web treatment.

 

@@ -3453,7 +3453,7 @@

Selection surface for the gall midge: egg vs. larval parasitoids

Plot of gall survival and standardized selection surfaces imposed by egg and larval parasitoids.

-Plot of gall survival and standardized selection surfaces imposed by egg and larval parasitoids. +Plot of gall survival and standardized selection surfaces imposed by egg and larval parasitoids.

 

@@ -3816,7 +3816,7 @@

Selection gradients for the gall midge: egg vs. larval parasitoids

Plot of selection gradients imposed by egg and larval parasitoids on gall midges.

-Plot of selection gradients imposed by egg and larval parasitoids on gall midges. +Plot of selection gradients imposed by egg and larval parasitoids on gall midges.
# Get mean estimates for directional selection gradients
 egglarval_original_mean_sc.Diam <- filter(tidy_egglarval_grads, type == "Original", term == "sc.Diam")$mean
@@ -4296,7 +4296,7 @@ 

Reproduce Figure 2 in main text

Adaptive landscapes of gall midge phenotypes in the original food web and with the extinction of larval parasitoids.

-Adaptive landscapes of gall midge phenotypes in the original food web and with the extinction of larval parasitoids. +Adaptive landscapes of gall midge phenotypes in the original food web and with the extinction of larval parasitoids.
@@ -4334,7 +4334,7 @@

Reproduce Figure 3 in main text

Two dimensional view of adaptive landscapes of gall midge phenotypes in the original food web and with the extinction of larval parasitoids. Dotted lines denote fitness for the mean phenotype. Arrows represent the vector of directional selection gradients acting on each phenotype.

-Two dimensional view of adaptive landscapes of gall midge phenotypes in the original food web and with the extinction of larval parasitoids. Dotted lines denote fitness for the mean phenotype. Arrows represent the vector of directional selection gradients acting on each phenotype. +Two dimensional view of adaptive landscapes of gall midge phenotypes in the original food web and with the extinction of larval parasitoids. Dotted lines denote fitness for the mean phenotype. Arrows represent the vector of directional selection gradients acting on each phenotype.
@@ -4638,7 +4638,7 @@

Slope and curvature of the adaptive landscape of gall traits

Change in evolvability for r n_Gmats random G-matrices using our best (mean) estimates of the curvature matrix.

-Change in evolvability for `r n_Gmats` random G-matrices using our best (mean) estimates of the curvature matrix. +Change in evolvability for `r n_Gmats` random G-matrices using our best (mean) estimates of the curvature matrix.
## Use same random G-matrices as above 
 
@@ -4678,7 +4678,7 @@ 

Slope and curvature of the adaptive landscape of gall traits

Change in evolvability for 1,000 random G-matrices using our best (mean) estimates of the curvature matrix over the long term.

-Change in evolvability for 1,000 random G-matrices using our best (mean) estimates of the curvature matrix over the long term. +Change in evolvability for 1,000 random G-matrices using our best (mean) estimates of the curvature matrix over the long term.

Now we look at the curvature effects of larval parasitoids compared to the original food web.

# Extinction
@@ -4712,7 +4712,7 @@ 

Slope and curvature of the adaptive landscape of gall traits

Change in evolvability for 10,000 random G-matrices using our best (mean) estimates of the curvature matrix for larval parasitoids vs original food web.

-Change in evolvability for 10,000 random G-matrices using our best (mean) estimates of the curvature matrix for larval parasitoids vs original food web. +Change in evolvability for 10,000 random G-matrices using our best (mean) estimates of the curvature matrix for larval parasitoids vs original food web.

 

@@ -4947,7 +4947,7 @@

Selection surfaces for the egg parasitoid

Plot of selection surfaces acting on egg parasitoids.

-Plot of selection surfaces acting on egg parasitoids. +Plot of selection surfaces acting on egg parasitoids.

 

@@ -5138,7 +5138,7 @@

Selection gradients for the egg parasitoid

Plot of standardized selection gradients acting on egg parasitoids.

-Plot of standardized selection gradients acting on egg parasitoids. +Plot of standardized selection gradients acting on egg parasitoids.
@@ -5154,7 +5154,7 @@

Reproduce Figure 4 in main text

Selection imposed by larval parasitoids on egg parasitoids (Platygaster sp.).

-Selection imposed by larval parasitoids on egg parasitoids (*Platygaster* sp.). +Selection imposed by larval parasitoids on egg parasitoids (*Platygaster* sp.).
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author; e-mail: matthew.barbour@ieu.uzh.ch \bigskip -*Keywords*: adaptive landscape, ecological networks, eco-evolutionary dynamics, natural selection, host-parasitoid, complexity, biodiversity, community context. +*Keywords*: adaptive landscape, ecological networks, eco-evolutionary dynamics, natural selection, host-parasitoid, community context, extinction. \bigskip @@ -77,7 +77,7 @@ $^\ast$ Corresponding author; e-mail: matthew.barbour@ieu.uzh.ch \bigskip -*Total Word Count*: `r wordcountaddin::word_count("manuscript.Rmd") - 587` +*Total Word Count*: `r wordcountaddin::word_count("manuscript.Rmd") - 527` \bigskip @@ -118,12 +118,12 @@ We found that the loss of predators increased the number of prey traits under se The adaptive landscape provides a powerful framework for understanding how natural selection has shaped the evolution of biodiversity ---from genes to phenotypes to species [@Wright1931; @Simpson1944; @Arnold2001]. More than a metaphor, the adaptive landscape links quantitative genetic and phenotypic variation to evolution by natural selection [@Lande1979; @Arnold1984applications; @Arnold1984theory], giving insight to the direct and indirect effects of selective constraints [@Arnold1992]. Ecological interactions often play a key role in shaping selective constraints, as evidenced by the role of antagonistic and mutualistic interactions in driving evolutionary change [@Schluter2000; @Abrams2000; @Bronstein2006]. Although there is clear evidence that species interactions can shape the adaptive landscape, we still have a poor understanding of how the adaptive landscape is shaped by a community of interacting species [@McPeek2017; @terHorst2018]. Resolution on how change in ecological communities shape phenotypic evolution is urgently needed though, given the rapid losses of biodiversity we are observing in the Anthropocene [@Scheffers2016]. -Ecological networks, such as food webs describing who-eats-whom, provide an explicit representation of the direct and indirect effects that emerge in a community of interacting species [@Bascompte2014; @McCann2012]. Here, we integrate ecological networks and adaptive landscapes to understand how ecological communities constrain evolutionary change. The direct and indirect effects of natural selection can be inferred by quantifying the slope and curvature of the adaptive landscape [@Arnold1992]. For example, the slope is determined by directional selection gradients acting on each phenotypic trait and influences the trajectory of evolutionary change [@Lande1979;@Arnold1992]. Selective constraints on evolution increase with the number of traits under directional selection, as this diminishes the number of optimal solutions [@Arnold2003]. The curvature of the adaptive landscape is governed by nonlinear selection gradients and acts to indirectly constrain evolution through its effect on genetic constraints [@Arnold1992; @Hansen2008]. Genetic constraints are largely governed by a population's **G**-matrix ---the additive genetic variances and covariances between traits [@Hansen2008]. Stabilizing selection acts to erode genetic variance in traits, which can impose a constraint on the ability of those traits to respond to future selection [@Hansen2008]. Correlational selection may alter the genetic covariance between traits, which may facilitate or hinder future adaptation depending on pattern of selection on those traits [@Hansen2008]. If we want to predict how ecological communities shape phenotypic evolution, we must understand how ecological networks shape the adaptive landscape. +Ecological networks, such as food webs describing who-eats-whom, provide an explicit representation of the direct and indirect effects that emerge in a community of interacting species [@Bascompte2014; @McCann2012]. Here, we integrate ecological networks and adaptive landscapes to understand how ecological communities constrain evolutionary change. The direct and indirect effects of natural selection can be inferred by quantifying the slope and curvature of the adaptive landscape [@Arnold1992]. For example, the slope is determined by directional selection gradients acting on each phenotypic trait and influences the trajectory of evolutionary change [@Lande1979;@Arnold1992]. Selective constraints on evolution increase with the number of traits under directional selection, as this diminishes the number of optimal solutions [@Arnold2003]. The curvature of the adaptive landscape is governed by nonlinear selection gradients and acts to indirectly constrain evolution through its effect on genetic constraints [@Arnold1992; @Hansen2008]. Genetic constraints are largely governed by a population's G-matrix ---the additive genetic variances and covariances between traits [@Hansen2008]. Stabilizing selection acts to erode genetic variance in traits, which can impose a constraint on the ability of those traits to respond to future selection [@Hansen2008]. Correlational selection may alter the genetic covariance between traits, which may facilitate or hinder future adaptation depending on the pattern of selection on those traits [@Hansen2008]. If we want to predict how ecological communities shape phenotypic evolution, we must understand how ecological networks shape the adaptive landscape. -The loss of biodiversity is altering the structure of ecological networks, which may influence evolutionary constraints in a number of ways. For example, in a food web, if different consumers impose directional selection on different traits of a shared resource, then a more diverse consumer community may constrain evolution by increasing the number of traits under selection. Alternatively, if consumers impose selection on different values of a trait, then their selective effects would cancel each other out in more diverse communities. To examine these different possibilities, we conducted a field experiment that removed a consumer guild that directly and indirectly impacts fitness of an abundant insect herbivore (*Iteomyia salicisverruca*, Family Cecidomyiidae; fig. \ref{fig:Conceptual}). The larvae of this herbivore induce tooth-shaped galls when they feed on the developing leaves of willow trees [*Salix* sp., @Russo2006]. These galls protect larva from attack by generalist predators (e.g. ants, spiders), but they suffer high mortality from egg and larval parasitoids [@Barbour2016]. We manipulated food-web structure by either removing larval parasitoids (removal food web) or allowing both egg and larval parasitoids to impose selection on gall midge traits (original food web, fig. \ref{fig:Conceptual}). Larval parasitoids also impose indirect effects on gall midge fitness through intraguild predation on the egg parasitoid (fig. \ref{fig:Conceptual}). We applied modern statistical methods to quantify how changes in food-web structure altered the slope and curvature of the gall midge's adaptive landscape. Taken together, our study gives insight to how the loss of biodiversity may constrain the evolution of interacting populations. +The loss of biodiversity is altering the structure of ecological networks, which may influence evolutionary constraints in a number of ways. For example, in a food web, if different consumers impose directional selection on different traits of a shared resource, then a more diverse consumer community may constrain evolution by increasing the number of traits under selection. Alternatively, if consumers impose selection on different values of a trait, then their selective effects would cancel each other out in more diverse communities. To examine these different possibilities, we conducted a field experiment that removed a consumer guild that directly and indirectly impacts fitness of an abundant insect herbivore (*Iteomyia salicisverruca*, Family Cecidomyiidae; fig. \ref{fig:Conceptual}). The larvae of this herbivore induce tooth-shaped galls when they feed on the developing leaves of willow trees [*Salix* sp., @Russo2006]. These galls protect larva from attack by generalist predators (e.g. ants, spiders), but they suffer high mortality from egg and larval parasitoids [@Barbour2016]. We manipulated food-web structure by either removing larval parasitoids (removal food web) or allowing both egg and larval parasitoids to impose selection on gall midge traits (original food web, fig. \ref{fig:Conceptual}). The relative abundance of these larval parasitoids is much lower than the egg parasitoid [@Barbour2016], and thus represents a plausible extinction scenario for this system. Larval parasitoids also impose indirect effects on gall midge fitness through intraguild predation on the egg parasitoid (fig. \ref{fig:Conceptual}). We applied modern statistical methods to quantify how changes in food-web structure altered the slope and curvature of the gall midge's adaptive landscape. Taken together, our study gives insight to how the loss of biodiversity may constrain the evolution of interacting populations. ```{r Conceptual, echo=FALSE, fig.pos="h", fig.cap="\\label{fig:Conceptual}Experimental manipulation of food-web structure associated with a leaf-galling midge (*Iteomyia salicisverruca*) feeding on the willow *Salix hookeriana*. Black arrows denote the flow of energy in this network of trophic interactions. In the original food web, we allowed the full suite of egg and larval parasitoids to impose selection. In the removal food web, we used mesh bags to exclude the guild of larval parasitoids, only allowing the egg parasitoid (*Platygaster* sp.) to impose selection. Note that larval parasitoids also impose indirect effects on gall midge fitness through intraguild predation on the egg parasitoid. Larval parasitoids include the following species (from left to right): *Mesopolobus* sp. (Family: Pteromalidae); *Tetrastichus* sp. (Family: Eulophidae); and *Torymus* sp. (Family: Torymidae)."} -knitr::include_graphics("../analyses/complex_simple_foodwebs_v3.jpeg") +knitr::include_graphics("../analyses/complex_simple_foodwebs_v4.jpeg") ``` # Methods @@ -192,9 +192,9 @@ All analyses and visualizations were conducted in R [@R2018]. Unless otherwise n # Results -## Consumer loss increases selective constraints +## Consumer removal increases selective constraints -\indent We found that the removal of larval parasitoids increased the number of gall midge traits under directional selection (3 of 3) relative to the original food web (1 of 3)(table \ref{Table:Gradients}). For example, we observed directional selection for smaller clutch sizes when we excluded larval parasitoids, but there was no evidence of selection acting on this trait in the original food web (table \ref{Table:Gradients}; fig. \ref{fig:UV_Landscape}C). This absence of selection appeared to be a result of conflicting selection pressures imposed by each guild of parasitoids. Specifically, when we subset our data to focus on differences between parasitoid guilds, we found that larval parasitoids actually impose directional selection for larger clutch sizes (larval parasitoids $\beta_{\text{Clutch}}$= +\indent We found that the removal of larval parasitoids increased the number of gall midge traits under directional selection (3 of 3) relative to the original food web (1 of 3)(table \ref{Table:Gradients}). For example, we observed directional selection for smaller clutch sizes when we removed larval parasitoids, but there was no evidence of selection acting on this trait in the original food web (fig. \ref{fig:UV_Landscape}A). This absence of selection appeared to be a result of conflicting selection pressures imposed by each guild of parasitoids. Specifically, when we subset our data to focus on differences between parasitoid guilds, we found that larval parasitoids actually impose directional selection for larger clutch sizes (larval parasitoids $\beta_{\text{Clutch}}$= `r round(filter(tidy_egglarval_grads, type=="Original", term=="sc.log.Clutch")$mean,2)` [`r round(filter(tidy_egglarval_grads, type=="Original", term=="sc.log.Clutch")$conf.low,2)`, `r round(filter(tidy_egglarval_grads, type=="Original", term=="sc.log.Clutch")$conf.high,2)`]). This conflicting selection is likely due to trait differences between guilds, as larger clutches may be easier targets for egg parasitoids to find, but the more complex gall structure may be more difficult for larval parasitoids to oviposit through. @@ -336,7 +336,7 @@ $\gamma_{\text{Clutch:Pref}}$ & \end{table} -We also observed clear evidence of directional selection for midges to avoid ovipositing on plants with high densities of conspecifics when we excluded larval parasitoids (table \ref{Table:Gradients}; fig. \ref{fig:UV_Landscape}B); however, the overall magnitude of selection did not differ between treatments (table \ref{Table:Gradients}). Still, there was no clear evidence of directional selection on oviposition in the original food web (table \ref{Table:Gradients}). Chamber diameter experienced positive directional selection in both food-web treatments (fig. \ref{fig:UV_Landscape}A). Although the magnitude of selection on chamber diameter was relatively higher in the original food web (table \ref{Table:Gradients}), this was not due to any difference in the relationship between chamber diameter and survival Chamber diameter experienced positive directional selection in both food-web treatments (fig. \ref{fig:UV_Landscape}C). Although the magnitude of selection on chamber diameter was relatively higher in the original food web (table \ref{Table:Gradients}), this was not due to any difference in the relationship between chamber diameter and survival +\bigskip -```{r Evolvability, echo=FALSE, fig.pos="h", fig.cap="\\label{fig:Evolvability}Change in average evolvability for 10,000 random G-matrices using our best (mean) estimate of the curvature matrix for each food-web treatment. We found that the curvature of the removal food web decreased evolvability in 71% of the G-matrices (i.e. the change in evolvability was negative for 71% of the simulations), suggesting that the loss of consumers tended to decrease evolutionary potential of traits in our study."} +```{r Evolvability, echo=FALSE, fig.pos="h", fig.cap="\\label{fig:Evolvability}Change in average evolvability for 10,000 random G-matrices using our best (mean) estimate of the curvature matrix for each food-web treatment. We found that the curvature of the removal food web decreased evolvability in 71% of the G-matrices (i.e. the change in evolvability was negative for 71% of the simulations), suggesting that the removal of consumers tended to decrease evolutionary potential of traits in our study."} knitr::include_graphics("../analyses/delta_evolvability.pdf") ``` +\bigskip ## Selection on egg parasitoids -The removal of larval parasitoids not only had direct effects on gall midge fitness, but also imposed indirect effects that would be felt in the next generation. For example, the removal of larval parasitoids altered the relationship between gall midge preference and the probability of observing egg parasitoids (`r round(filter(tidy_eggegg_grads, type=="Diff", term=="I(sc.sqrt.Pref^2)")$mean,2)` [ +The removal of larval parasitoids not only had direct effects on gall midge fitness, but also imposed indirect effects that would be felt in the next generation. For example, the removal of larval parasitoids altered the relationship between gall midge preference and the probability of observing egg parasitoids ($\gamma_{\text{Pref:Pref}}$=`r round(filter(tidy_eggegg_grads, type=="Diff", term=="I(sc.sqrt.Pref^2)")$mean,2)` [ `r round(filter(tidy_eggegg_grads, type=="Diff", term=="I(sc.sqrt.Pref^2)")$conf.low,2)`, -`r round(filter(tidy_eggegg_grads, type=="Diff", term=="I(sc.sqrt.Pref^2)")$conf.high,2)`] }, Appendix A), such that the impact of larval parasitoids increased nonlinearly with higher gall midge densities (fig. \ref{fig:EggPtoid_Selection}). +`r round(filter(tidy_eggegg_grads, type=="Diff", term=="I(sc.sqrt.Pref^2)")$conf.high,2)`], table S1), such that the impact of larval parasitoids increased nonlinearly with higher gall midge densities (fig. \ref{fig:EggPtoid_Selection}). +\bigskip ```{r EggPtoid_Selection, echo=FALSE, fig.pos="h", fig.cap="\\label{fig:EggPtoid_Selection}Selection imposed by larval parasitoids on egg parasitoids (*Platygaster* sp.). The bold line represents the average difference in the probability of observing the egg parasitoid (original minus removal of larval parastioids) as a function of gall midge oviposition preference. Thin lines represent bootstrapped replicates to show the uncertainty in selection. For clarity, we only display 100 bootstraps even though inferences are based on 1,000 replicates. The decrease in the probability of observing egg parasitoids at high gall-midge densities indicate that larval parasitoids impose nonlinear selection on egg parasitoids."} knitr::include_graphics("../analyses/selection_on_Platygaster.pdf") ``` +\bigskip # Discussion -We found that the removal of larval parasitoids constrained phenotypic evolution in gall midges in two key ways. First, more traits contributed to the slope of the adaptive landscape in the absence of larval parasitoids, suggesting greater constraints on the trajectory of phenotypic evolution. Second, excluding larval parasitoids altered the curvature of the adaptive landscape in such a way that tended to decrease the evolvability of associated traits. Assuming these traits have other ecological functions, then this decrease in evolvability could constrain the gall midge's adaptive potential in the face of novel selection pressures. Our experiment also revealed evidence of indirect selection pressures, suggesting that the loss of consumers may have complex effects on the trajectories of phenotypic evolution. Taken together, our study provides experimental evidence from the field that the loss of consumers may constrain the adaptive potential of remaining populations. +We found that the removal of larval parasitoids constrained phenotypic evolution in gall midges in two key ways. First, more traits contributed to the slope of the adaptive landscape in the absence of larval parasitoids, suggesting greater constraints on the trajectory of phenotypic evolution. Second, removing larval parasitoids altered the curvature of the adaptive landscape in such a way that tended to decrease the evolvability of associated traits. Assuming these traits have other ecological functions, then this decrease in evolvability could constrain the gall midge's adaptive potential in the face of novel selection pressures. Our experiment also revealed evidence of indirect selection pressures, suggesting that the loss of consumers may have complex effects on the trajectories of phenotypic evolution. Taken together, our study provides experimental evidence from the field that the loss of consumers may constrain the adaptive potential of remaining populations. -The generality of our results likely depends on the relative abundance and functional differences between consumers in a community. For example, if consumers do not differ from each other, then we do not expect the loss of consumers to modify selective constraints. Also, many consumers may be at too low of abundances to impose selection on their resources. Rank abundance curves [@Preston1948] and the disproportionate number of weak interactions in diverse communities [@Paine1992] support this notion. This logic suggests that we may not have observed the effects we did if we had only removed one larval parasitoid, because each species had relatively low abundance [@Barbour2016] and they likely share similar ecological roles. When consumers are functionally different and abundant though, the effect of consumer loss will depend on whether different species impose conflicting selection pressures or select for distinct traits. When consumers impose conflicting selection on traits, as in our study and others [@Weis1985; @Abrahamson1997; @Start2016; @Start2018], then consumer diversity acts to neutralize selection and relax selective constraints. On the other hand, different consumers may impose selection on different traits; therefore, a more diverse consumer community may favor a particular combination of traits and increase selective constraints. Examples of this include strong genetic covariances in plant resistance to different insect herbivores [@Maddox1990; @Wise2007; @Wise2013], although there are also examples where these covariances are weak [@Roche1997; @Barbour2015], or vary from year-to-year [@Johnson2007]. We suggest that gaining predictive insight to the evolutionary consequences of food-web disassembly requires an understanding of the mechanisms governing the assembly of trophic interactions [@Bascompte2009]. +The generality of our results likely depends on the relative abundance and functional differences between consumers in a community. For example, if consumers do not differ from each other, then we do not expect the loss of consumers to modify selective constraints. Also, many consumers may be at too low of abundances to impose selection on their resources. Rank abundance curves [@Preston1948] and the disproportionate number of weak interactions in diverse communities [@Paine1992] support this notion. This logic suggests that we may not have observed the effects we did if we had only removed one larval parasitoid, because each species had relatively low abundance [@Barbour2016] and they likely share similar ecological roles. When consumers are functionally different and abundant though, the effect of consumer loss will depend on whether different consumers impose conflicting selection pressures or select for distinct traits. When consumers impose conflicting selection on traits, as in our study and others [@Weis1985; @Abrahamson1997; @Start2016; @Start2018], then consumer diversity acts to neutralize selection and relax selective constraints. On the other hand, different consumers may impose selection on different traits; therefore, a more diverse consumer community may favor a particular combination of traits and increase selective constraints. Examples of this include strong genetic covariances in plant resistance to different insect herbivores [@Maddox1990; @Wise2007; @Wise2013], although there are also examples where these covariances are weak [@Roche1997; @Barbour2015], or vary from year-to-year [@Johnson2007]. We suggest that gaining predictive insight to the evolutionary consequences of food-web disassembly requires an understanding of the mechanisms governing the assembly of trophic interactions [@Bascompte2009]. We also found evidence for a general decrease in trait evolvability when we excluded larval parasitoids due to changes in the curvature of the adaptive landscape. This result was driven by nonlinear selection on gall midge oviposition preference in the original food web, which was due to both increases in intraguild predation and the lower mean survival of gall midges. While these results are intriguing, they still indicate that the indirect effects of selection are contingent on the structure of a population's G-matrix (e.g. consumer removals *increased* evolvability in 29% of the scenarios). This highlights the importance of future studies to characterize the G-matrix in order to accurately predict how changes in network context will alter the evolutionary potential of remaining populations. Indeed, current theory often assumes genetic variances and covariances remain constant over time rather than dynamically changing with the network context [@McPeek2017; @Guimaraes2017]. Our empirical results highlight the need to explore the evolutionary consequences of not only direct effects of selection, but indirect effects on genetic constraints that emerge in a network of interacting species. -An important caveat of our study is that we did not do a factorial manipulation of both parasitoid guilds, making it difficult to conclude whether our results would change if we manipulated the presence/absence of the dominant egg parasitoid. If we assume that higher-order interactions [@Levine2017] are weak between parasitoid guilds, then we can gain insight to how the loss of the egg parasitoid would alter selection by isolating the contribution of larval parasitoids to selection in our original food-web treatment. When we do this, we see the same qualitative effects as we do when we removed larval parasitoids. For example, we see clear evidence of all three traits being under directional selection (i.e. greater selective constraints, Appendix A) as well as a decrease, albeit smaller, in trait evolvability under different G-matrix scenarios (`r round(sum(larvalptoid_random_evolvabilities$Diff < 0) / length(larvalptoid_random_evolvabilities$Diff) * 100,0)`%, Appendix A). This suggests that our results could be robust to this caveat, which was simply not possible to manipulate given the biology of our system (see *Manipulating Food-web Structure* section for explanation). +An important caveat of our study is that we did not do a factorial manipulation of both parasitoid guilds, making it difficult to conclude whether our results would change if we manipulated the presence/absence of the dominant egg parasitoid. If we assume that higher-order interactions [@Levine2017] are weak between parasitoid guilds, then we can gain insight to how the loss of the egg parasitoid would alter selection by isolating the contribution of larval parasitoids to selection in our original food-web treatment. When we do this, we see the same qualitative effects as we do when we removed larval parasitoids. For example, we see clear evidence of all three traits being under directional selection (i.e. greater selective constraints, table S2) as well as a decrease, albeit smaller, in trait evolvability under different G-matrix scenarios (`r round(sum(larvalptoid_random_evolvabilities$Diff < 0) / length(larvalptoid_random_evolvabilities$Diff) * 100,0)`%, fig. S1). This suggests that our results could be robust to this caveat, which was simply not possible to manipulate given the biology of our system (see **Manipulating Food-web Structure** section for explanation). Our results suggest that the loss of consumers may not only directly affect connected species, but also result in indirect evolutionary effects. In our study, this indirect effect arises from egg parasitoids being released from intraguild predation when we excluded larval parasitoids. This release occurs more on trees with high larval densities, which could intensify future selection on gall midge oviposition preference. A growing number of experiments over the past two decades have demonstrated the presence and potential importance of indirect evolutionary effects that emerge in ecological communities [@Pilson1996; @Juenger1998; @Stinchcombe2001; @Lankau2007; @Walsh2008; @Walsh2010; @terHorst2010; @Sahli2011; @Lau2012; @terHorst2015; @Schiestl2018; @Start2019]. If indirect evolutionary effects are common [@Miller1996; @Walsh2013; @Guimaraes2017], then predicting evolutionary trajectories resulting from the loss of consumers will require evolutionary studies to explicitly account for the ecological networks that species are embedded in. @@ -503,7 +509,7 @@ Our study gives insight to how the loss of consumers alters evolutionary constra # Acknowledgements -We thank the staff of Humboldt Bay National Wildlife Refuge (U.S. Fish and Wildlife Service) for facilitating experimental logistics. For assistance with fieldwork, we thank Ruthie Espanol and Andrew MacDonald. For funding support, we thank the University of British Columbia (James Robert Thompson Fellowship and Four-Year Fellowship to M.A. Barbour), NSERC (Discovery grant to Greg Crutsinger), and the Swiss National Science Foundation (grant 31003A_160671 to J. Bascompte). +We thank the staff of Humboldt Bay National Wildlife Refuge (U.S. Fish and Wildlife Service) for facilitating experimental logistics. For assistance with fieldwork, we thank Ruthie Espanol and Andrew MacDonald. For funding support, we thank the University of British Columbia (James Robert Thompson Fellowship and Four-Year Fellowship to M.A. Barbour), NSERC (Discovery grant to Greg Crutsinger), and the Swiss National Science Foundation (grant 31003A_160671 to J. Bascompte). The authors declare no conflict of interest. # Author Contributions @@ -648,7 +654,7 @@ $\alpha_{\text{Clutch,Pref}}$ & \\ {\footnotesize Note: Values in brackets represent 95\% confidence intervals. Bold values indicate that the 95\% CI does not overlap zero. $\alpha_{\text{Diam}}$ has been adjusted for bias.} \end{table} ---> + # Appendix A @@ -824,8 +830,8 @@ $\gamma_{\text{Clutch:Pref}}$ & {\footnotesize Note: Values in brackets represent 95\% confidence intervals. Bold values indicate that the 95\% CI does not overlap zero. $\beta_{\text{Diam}}$ has been adjusted for bias.} \end{table} - ```{r LarvalPtoid Evolvability, echo=FALSE, fig.pos="h", fig.cap="\\label{fig:LarvalPtoidEvolvability}Change in average evolvability for 10,000 random G-matrices using our best (mean) estimate of the curvature matrix for selection in the absence of egg parasitoids vs. the original food web. We found that the curvature imposed by the loss of egg parasitoids decreased evolvability in 57% of the G-matrices (i.e. the change in evolvability was negative for 57% of the simulations), which is smaller in magnitude, but in the same direction, as the effects of losing larval parasitoids."} knitr::include_graphics("../analyses/larvalptoid_delta_evolvability.pdf") ``` +--> \ No newline at end of file diff --git a/manuscript/manuscript.log b/manuscript/manuscript.log index a6adacf..02bce3b 100644 --- a/manuscript/manuscript.log +++ b/manuscript/manuscript.log @@ -1,4 +1,4 @@ -This is pdfTeX, Version 3.14159265-2.6-1.40.16 (TeX Live 2015/Debian) (preloaded format=pdflatex 2019.2.7) 16 SEP 2019 14:51 +This is pdfTeX, Version 3.14159265-2.6-1.40.16 (TeX Live 2015/Debian) (preloaded format=pdflatex 2019.2.7) 18 SEP 2019 11:45 entering extended mode restricted \write18 enabled. %&-line parsing enabled. @@ -920,13 +920,11 @@ LaTeX Font Info: Try loading font information for T1+cmss on input line 159. 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PDF statistics: - 645 PDF objects out of 1000 (max. 8388607) - 575 compressed objects within 6 object streams - 128 named destinations out of 1000 (max. 500000) - 22711 words of extra memory for PDF output out of 24883 (max. 10000000) + 616 PDF objects out of 1000 (max. 8388607) + 550 compressed objects within 6 object streams + 122 named destinations out of 1000 (max. 500000) + 22698 words of extra memory for PDF output out of 24883 (max. 10000000) diff --git a/manuscript/manuscript.tex b/manuscript/manuscript.tex index f25af12..f1a3003 100644 --- a/manuscript/manuscript.tex +++ b/manuscript/manuscript.tex @@ -135,8 +135,8 @@ \bigskip \emph{Keywords}: adaptive landscape, ecological networks, -eco-evolutionary dynamics, natural selection, host-parasitoid, -complexity, biodiversity, community context. +eco-evolutionary dynamics, natural selection, host-parasitoid, community +context, extinction. \bigskip @@ -144,7 +144,7 @@ \bigskip -\emph{Total Word Count}: 5769 +\emph{Total Word Count}: 5833 \bigskip @@ -241,16 +241,16 @@ \section{Introduction}\label{introduction} curvature of the adaptive landscape is governed by nonlinear selection gradients and acts to indirectly constrain evolution through its effect on genetic constraints \citep{Arnold1992, Hansen2008}. Genetic -constraints are largely governed by a population's \textbf{G}-matrix ----the additive genetic variances and covariances between traits +constraints are largely governed by a population's G-matrix ---the +additive genetic variances and covariances between traits \citep{Hansen2008}. Stabilizing selection acts to erode genetic variance in traits, which can impose a constraint on the ability of those traits to respond to future selection \citep{Hansen2008}. Correlational selection may alter the genetic covariance between traits, which may -facilitate or hinder future adaptation depending on pattern of selection -on those traits \citep{Hansen2008}. If we want to predict how ecological -communities shape phenotypic evolution, we must understand how -ecological networks shape the adaptive landscape. +facilitate or hinder future adaptation depending on the pattern of +selection on those traits \citep{Hansen2008}. If we want to predict how +ecological communities shape phenotypic evolution, we must understand +how ecological networks shape the adaptive landscape. The loss of biodiversity is altering the structure of ecological networks, which may influence evolutionary constraints in a number of @@ -284,7 +284,7 @@ \section{Introduction}\label{introduction} \begin{figure} \centering -\includegraphics{../analyses/complex_simple_foodwebs_v3.jpeg} +\includegraphics{../analyses/complex_simple_foodwebs_v4.jpeg} \caption{\label{fig:Conceptual}Experimental manipulation of food-web structure associated with a leaf-galling midge (\emph{Iteomyia salicisverruca}) feeding on the willow \emph{Salix hookeriana}. Black @@ -342,15 +342,15 @@ \subsection{Manipulating Food-web in the lab for 4 months at room temperature. We then opened galls under a dissecting scope and determined whether larvae survived to pupation (our measure of fitness) or were parasitized. We did not include other -sources of mortality, such as early larval death, as they could -influence the expression of the gall phenotype and confound estimates of -selection. For the food-web treatment that excluded larval parasitoids, -we further restricted our data by removing any incidental instances of -parasitism by a larval parasitoid. This represented less than 3\% of the -observations in this food-web treatment and allowed us to focus our -inferences of selection on those imposed by the egg parasitoid. Our -final dataset contains survival estimates for 1285 larvae from 613 galls -and 111 plants. +sources of mortality in our analyses, such as early larval death, as +they could influence the expression of the gall phenotype and confound +estimates of selection. For the food-web treatment that excluded larval +parasitoids, we further restricted our data by removing any incidental +instances of parasitism by a larval parasitoid. This represented less +than 3\% of the observations in this food-web treatment and allowed us +to focus our inferences of selection on those imposed by the egg +parasitoid. Our final dataset contains survival estimates for 1285 +larvae from 613 galls and 111 plants. \subsection{Measuring Phenotypic Traits}\label{measuring-phenotypic-traits} @@ -564,7 +564,7 @@ \subsection{Adjusting for biased measurements of \(\alpha_{\text{Diam}}\)= 0.36 {[}0.05, 0.67{]}; removal \(\alpha_{\text{Diam}}\)= 0.42 {[}0.01, 0.82{]}), indicating that unadjusted relationships would overestimate the strength of selection on -chamber diameter. To account for this bias, we substracted our mean +chamber diameter. To account for this bias, we subtracted our mean estimates of bias from our estimates with the full dataset prior to calculating chamber diameter's selection surface and directional selection gradient. @@ -602,25 +602,25 @@ \subsection{Measuring selection on egg \section{Results}\label{results} -\subsection{Consumer loss increases selective -constraints}\label{consumer-loss-increases-selective-constraints} +\subsection{Consumer removal increases selective +constraints}\label{consumer-removal-increases-selective-constraints} \indent We found that the removal of larval parasitoids increased the number of gall midge traits under directional selection (3 of 3) relative to the original food web (1 of 3)(table \ref{Table:Gradients}). For example, we observed directional selection for smaller clutch sizes -when we excluded larval parasitoids, but there was no evidence of -selection acting on this trait in the original food web (table -\ref{Table:Gradients}; fig. \ref{fig:UV_Landscape}C). This absence of -selection appeared to be a result of conflicting selection pressures -imposed by each guild of parasitoids. Specifically, when we subset our -data to focus on differences between parasitoid guilds, we found that -larval parasitoids actually impose directional selection for larger -clutch sizes (larval parasitoids \(\beta_{\text{Clutch}}\)= 0.13 -{[}0.04, 0.24{]}). This conflicting selection is likely due to trait -differences between guilds, as larger clutches may be easier targets for -egg parasitoids to find, but the more complex gall structure may be more -difficult for larval parasitoids to oviposit through. +when we removed larval parasitoids, but there was no evidence of +selection acting on this trait in the original food web (fig. +\ref{fig:UV_Landscape}A). This absence of selection appeared to be a +result of conflicting selection pressures imposed by each guild of +parasitoids. Specifically, when we subset our data to focus on +differences between parasitoid guilds, we found that larval parasitoids +actually impose directional selection for larger clutch sizes (larval +parasitoids \(\beta_{\text{Clutch}}\)= 0.13 {[}0.04, 0.24{]}). This +conflicting selection is likely due to trait differences between guilds, +as larger clutches may be easier targets for egg parasitoids to find, +but the more complex gall structure may be more difficult for larval +parasitoids to oviposit through. \bigskip @@ -760,14 +760,14 @@ \subsection{Consumer loss increases selective We also observed clear evidence of directional selection for midges to avoid ovipositing on plants with high densities of conspecifics when we -excluded larval parasitoids (table \ref{Table:Gradients}; fig. -\ref{fig:UV_Landscape}B); however, the overall magnitude of selection -did not differ between treatments (table \ref{Table:Gradients}). Still, -there was no clear evidence of directional selection on oviposition in -the original food web (table \ref{Table:Gradients}). Chamber diameter -experienced positive directional selection in both food-web treatments -(fig. \ref{fig:UV_Landscape}A). Although the magnitude of selection on -chamber diameter was relatively higher in the original food web (table +removed larval parasitoids (fig. \ref{fig:UV_Landscape}B); however, the +overall magnitude of selection did not differ between treatments (table +\ref{Table:Gradients}). Still, there was no clear evidence of +directional selection on oviposition in the original food web (table +\ref{Table:Gradients}). Chamber diameter experienced positive +directional selection in both food-web treatments (fig. +\ref{fig:UV_Landscape}C). Although the magnitude of selection on chamber +diameter was relatively higher in the original food web (table \ref{Table:Gradients}), this was not due to any difference in the relationship between chamber diameter and survival (selection surfaces: contrast \(\alpha_{\text{Diam}}\)= 0.04 {[}0.55, -0.5{]}), but was @@ -794,15 +794,17 @@ \subsection{Consumer loss increases selective \caption{\label{fig:UV_Landscape}Adaptive landscape of gall midge phenotypes in the original food web and with the removal of larval parasitoids. Each panel corresponds to a different phenotypic trait: -chamber diameter (A); oviposition preference (B); and clutch size (C). +clutch size (A); oviposition preference (B); and chamber diameter (C). Bold lines represent selection experienced in the original (orange) and -removal (blue) food webs (orange). Thin lines represent bootstrapped -replicates to show the uncertainty in selection. For clarity, we only -display 100 bootstraps even though inferences are based on 1,000 -replicates. Note that mean larval survival is plotted on a natural log -scale to reflect the mathematical definition of the adaptive landscape.} +removal (blue) food webs. Thin lines represent bootstrapped replicates +to show the uncertainty in selection. For clarity, we only display 100 +bootstraps even though inferences are based on 1,000 replicates. Note +that mean larval survival is plotted on a natural log scale to reflect +the mathematical definition of the adaptive landscape.} \end{figure} +\bigskip + To visualize the multivariate effects of these selective constraints, we plotted the adaptive landscape for each trait combination in each treatment (fig. \ref{fig:MV_Landscape}). The arrows in fig. @@ -811,9 +813,9 @@ \subsection{Consumer loss increases selective phenotype in each food-web treatment. Notice that arrows point more toward a corner of the adaptive landscape for each combination of traits with the removal of larval parasitoids compared to the original food -web. This indicates that the loss of consumers more strongly favored a -specific combination of traits, rather than allowing for multiple trait -combinations to have comparable fitness. +web. This indicates that the removal of consumers more strongly favored +a specific combination of traits, rather than allowing for multiple +trait combinations to have comparable fitness. \begin{figure} \centering @@ -828,14 +830,16 @@ \subsection{Consumer loss increases selective of the mean phenotype in each food-web treatment. Notice that arrows point more toward a corner of the adaptive landscape for each combination of traits with the removal of larval parasitoids compared to -the original food web. This indicates that the loss of consumers more +the original food web. This indicates that the removal of consumers more strongly favored a specific combination of traits. Note that mean larval survival is plotted on a natural log scale to reflect the mathematical definition of the adaptive landscape.} \end{figure} -\subsection{Consumer loss indirectly increases genetic -constraints}\label{consumer-loss-indirectly-increases-genetic-constraints} +\bigskip + +\subsection{Consumer removal indirectly increases genetic +constraints}\label{consumer-removal-indirectly-increases-genetic-constraints} \indent The curvature of the adaptive landscape indirectly affects genetic constraints and is influenced by directional, quadratic, and @@ -843,20 +847,19 @@ \subsection{Consumer loss indirectly increases genetic correlational selection for any combination of traits in either food-web treatment (table \ref{Table:Gradients}). Similarly, there was no clear evidence of quadratic selection on chamber diameter or clutch size in -either food-web treatment (table \ref{Table:Gradients}; fig. -\ref{fig:UV_Landscape}A,C). In contrast, our food-web treatment did -alter quadratic selection acting on oviposition preference (table -\ref{Table:Gradients}). The negative relationship between oviposition -preference and larval survival dampened at high densities in the -original food web, but not with the exclusion of larval parasitoids -(fig. \ref{fig:UV_Landscape}B). This dampened relationship was partly -due to a trend for nonlinear selection imposed by larval parasitoids -(\(\gamma_{\text{Pref:Pref}}\)= 0.18 {[}-0.02, 0.42{]}), but was also -magnified by the lower average survival in complex food webs. This was -likely a result of larval parasitoids imposing greater mortality on egg -parasitoids at high gall midge densities (see \textbf{Selection on egg -parasitoids} section), and thus a less than additive effect on gall -midges. +either food-web treatment (table \ref{Table:Gradients}). In contrast, +our food-web treatment did alter quadratic selection acting on +oviposition preference (table \ref{Table:Gradients}). The negative +relationship between oviposition preference and larval survival dampened +at high densities in the original food web, but not with the removal of +larval parasitoids (fig. \ref{fig:UV_Landscape}B). This dampened +relationship was partly due to a trend for nonlinear selection imposed +by larval parasitoids (\(\gamma_{\text{Pref:Pref}}\)= 0.18 {[}-0.02, +0.42{]}), but was also magnified by the lower average survival in the +original food web. This was likely a result of larval parasitoids +imposing greater mortality on egg parasitoids at high gall midge +densities (see \textbf{Selection on egg parasitoids} section), and thus +a less than additive effect on gall midges. Using our estimates of directional (\(\beta_i\)), quadratic (\(\gamma_{ii}\)), and correlation selection (\(\gamma_{ij}\)), we @@ -887,7 +890,7 @@ \subsection{Consumer loss indirectly increases genetic 0.11\: [-0.06,0.29] & -0.05\: [-0.21,0.1] & \textbf{-0.17\: [-0.33,-0.01]} \end{pmatrix}\] Interestingly, when we translate the effect of the curvature matrix onto -genetic constraints in the next generation, we see that the loss of +genetic constraints in the next generation, we see that the removal of consumers had a general tendency to decrease evolvability (fig. \ref{fig:Evolvability}). Specifically, the removal food web decreased the average evolvability of 71\% of the random G-matrices in our @@ -898,6 +901,8 @@ \subsection{Consumer loss indirectly increases genetic \(\bar W\)=original \(\bar W\)), then the removal food web decreases the average evolvability in 78\% of the G-matrix scenarios. +\bigskip + \begin{figure} \centering \includegraphics{../analyses/delta_evolvability.pdf} @@ -906,10 +911,12 @@ \subsection{Consumer loss indirectly increases genetic matrix for each food-web treatment. We found that the curvature of the removal food web decreased evolvability in 71\% of the G-matrices (i.e.~the change in evolvability was negative for 71\% of the -simulations), suggesting that the loss of consumers tended to decrease -evolutionary potential of traits in our study.} +simulations), suggesting that the removal of consumers tended to +decrease evolutionary potential of traits in our study.} \end{figure} +\bigskip + \subsection{Selection on egg parasitoids}\label{selection-on-egg-parasitoids} @@ -917,10 +924,12 @@ \subsection{Selection on egg midge fitness, but also imposed indirect effects that would be felt in the next generation. For example, the removal of larval parasitoids altered the relationship between gall midge preference and the -probability of observing egg parasitoids (-0.46 {[} -1.07, -0.02{]} \}, -Appendix A), such that the impact of larval parasitoids increased -nonlinearly with higher gall midge densities (fig. -\ref{fig:EggPtoid_Selection}). +probability of observing egg parasitoids +(\(\gamma_{\text{Pref:Pref}}\)=-0.46 {[} -1.07, -0.02{]}, table S1), +such that the impact of larval parasitoids increased nonlinearly with +higher gall midge densities (fig. \ref{fig:EggPtoid_Selection}). + +\bigskip \begin{figure} \centering @@ -937,13 +946,15 @@ \subsection{Selection on egg parasitoids impose nonlinear selection on egg parasitoids.} \end{figure} +\bigskip + \section{Discussion}\label{discussion} We found that the removal of larval parasitoids constrained phenotypic evolution in gall midges in two key ways. First, more traits contributed to the slope of the adaptive landscape in the absence of larval parasitoids, suggesting greater constraints on the trajectory of -phenotypic evolution. Second, excluding larval parasitoids altered the +phenotypic evolution. Second, removing larval parasitoids altered the curvature of the adaptive landscape in such a way that tended to decrease the evolvability of associated traits. Assuming these traits have other ecological functions, then this decrease in evolvability @@ -967,7 +978,7 @@ \section{Discussion}\label{discussion} parasitoid, because each species had relatively low abundance \citep{Barbour2016} and they likely share similar ecological roles. When consumers are functionally different and abundant though, the effect of -consumer loss will depend on whether different species impose +consumer loss will depend on whether different consumers impose conflicting selection pressures or select for distinct traits. When consumers impose conflicting selection on traits, as in our study and others \citep{Weis1985, Abrahamson1997, Start2016, Start2018}, then @@ -1003,7 +1014,7 @@ \section{Discussion}\label{discussion} of selection, but indirect effects on genetic constraints that emerge in a network of interacting species. -An important caveat of our study is that we did not due a factorial +An important caveat of our study is that we did not do a factorial manipulation of both parasitoid guilds, making it difficult to conclude whether our results would change if we manipulated the presence/absence of the dominant egg parasitoid. If we assume that higher-order @@ -1014,11 +1025,11 @@ \section{Discussion}\label{discussion} the same qualitative effects as we do when we removed larval parasitoids. For example, we see clear evidence of all three traits being under directional selection (i.e.~greater selective constraints, -Appendix A) as well as a decrease, albeit smaller, in trait evolvability -under different G-matrix scenarios (57\%, Appendix A). This suggests -that our results could be robust to this caveat, which was simply not +table S2) as well as a decrease, albeit smaller, in trait evolvability +under different G-matrix scenarios (57\%, fig. S1). This suggests that +our results could be robust to this caveat, which was simply not possible to manipulate given the biology of our system (see -\emph{Manipulating Food-web Structure} section for explanation). +\textbf{Manipulating Food-web Structure} section for explanation). Our results suggest that the loss of consumers may not only directly affect connected species, but also result in indirect evolutionary @@ -1061,7 +1072,8 @@ \section{Acknowledgements}\label{acknowledgements} For funding support, we thank the University of British Columbia (James Robert Thompson Fellowship and Four-Year Fellowship to M.A.~Barbour), NSERC (Discovery grant to Greg Crutsinger), and the Swiss National -Science Foundation (grant 31003A\_160671 to J. Bascompte). +Science Foundation (grant 31003A\_160671 to J. Bascompte). The authors +declare no conflict of interest. \section{Author Contributions}\label{author-contributions} @@ -1078,193 +1090,6 @@ \section{Data Accessibility}\label{data-accessibility} (\url{https://github.com/mabarbour/complexity_selection}) and have been archived on Zenodo (\url{https://zenodo.org/badge/latestdoi/108833263}). -\section{Appendix A}\label{appendix-a} - -\bigskip - -\begin{table}[h] -\caption{Standardized selection gradients acting on egg parasitoids (\textit{Platygaster} sp.)} -\label{Table:ExtendedGradients} -\centering -\begin{tabular}{lc} -\\ -\hline -\textbf{Selection gradient} & \textbf{Contrast = Original - Removal} \\ -\hline -$\beta_{\text{Diam}}$ & - --0.03 [ --0.3, -0.25] \\ - -$\beta_{\text{Clutch}}$ & - -0.07 [ --0.26, -0.39] \\ - -$\beta_{\text{Pref}}$ & - --0.25 [ --0.64, -0.09] \\ - -$\gamma_{\text{Diam:Diam}}$ & - --0.05 [ --0.43, -0.33] \\ - -$\gamma_{\text{Clutch:Clutch}}$ & - --0.21 [ --0.68, -0.26] \\ - -$\gamma_{\text{Pref:Pref}}$ & - -\textbf{ --0.46 [ --1.07, --0.02] }\\ - -$\gamma_{\text{Diam:Clutch}}$ & - -0 [ --0.29, -0.27] \\ - -$\gamma_{\text{Diam:Pref}}$ & - -0.25 [ --0.04, -0.6] \\ - -$\gamma_{\text{Clutch:Pref}}$ & - --0.18 [ --0.52, -0.12] \\ -\hline -\end{tabular} -\bigskip{} -\\ -{\footnotesize Note: Values in brackets represent 95\% confidence intervals. Bold values indicate that the 95\% CI does not overlap zero. $\beta_{\text{Diam}}$ has been adjusted for bias.} -\end{table} - -\bigskip - -\begin{table}[h] -\caption{Standardized selection gradients imposed by larval parasitoids on gall midges in the original food web. This gives insight to selection acting on gall midges in the absence of the dominant egg parasitoid.} -\label{Table:LarvalGradients} -\centering -\begin{tabular}{lc} -\\ -\hline -\textbf{Selection gradient} & \textbf{Larval Parasitoids} \\ % & \textbf{Original} -\hline -$\beta_{\text{Diam}}$ & -%\textbf{ -%0.34 [ -%0.22, -%0.48] } & -\textbf{ -0.23 [ -0.13, -0.36] } \\ - -$\beta_{\text{Clutch}}$ & -%0.06 [ -%-0.05, -%0.17] & -\textbf{ -0.13 [ -0.04, -0.24] }\\ - -$\beta_{\text{Pref}}$ & -%-0.13 [ -%-0.29, -%0.05] & -\textbf{ --0.17 [ --0.34, --0.03] } \\ - -$\gamma_{\text{Diam:Diam}}$ & -%0.13 [ -%-0.06, -%0.33] & - -0.06 [ --0.07, -0.2] \\ - -$\gamma_{\text{Clutch:Clutch}}$ & -%-0.05 [ -%-0.27, -%0.18] & - -0.01 [ --0.14, -0.15] \\ - -$\gamma_{\text{Pref:Pref}}$ & -%\textbf{ -%0.34 [ -%0.07, -%0.63] }& - -0.18 [ --0.02, -0.42] \\ - -$\gamma_{\text{Diam:Clutch}}$ & -%-0.04 [ -%-0.16, -%0.08] & - -0.02 [ --0.07, -0.11] \\ - -$\gamma_{\text{Diam:Pref}}$ & -%-0.13 [ -%-0.29, -%0.02] & - --0.05 [ --0.18, -0.06] \\ - -$\gamma_{\text{Clutch:Pref}}$ & -%0.03 [ -%-0.1, -%0.18] & - --0.04 [ --0.14, -0.06] \\ -\hline -\end{tabular} -\bigskip{} -\\ -{\footnotesize Note: Values in brackets represent 95\% confidence intervals. Bold values indicate that the 95\% CI does not overlap zero. $\beta_{\text{Diam}}$ has been adjusted for bias.} -\end{table} - -\begin{figure} -\centering -\includegraphics{../analyses/larvalptoid_delta_evolvability.pdf} -\caption{\label{fig:LarvalPtoidEvolvability}Change in average -evolvability for 10,000 random G-matrices using our best (mean) estimate -of the curvature matrix for selection in the absence of egg parasitoids -vs.~the original food web. We found that the curvature imposed by the -loss of egg parasitoids decreased evolvability in 57\% of the G-matrices -(i.e.~the change in evolvability was negative for 57\% of the -simulations), which is smaller in magnitude, but in the same direction, -as the effects of losing larval parasitoids.} -\end{figure} - \bibliography{references} diff --git a/manuscript/supplementary_material.Rmd b/manuscript/supplementary_material.Rmd index ad31751..7aedf80 100644 --- a/manuscript/supplementary_material.Rmd +++ b/manuscript/supplementary_material.Rmd @@ -82,7 +82,8 @@ http://bytesizebio.net/2013/03/11/adding-supplementary-tables-and-figures-in-lat \newpage -\beginsupplement + +\beginsupplement \begin{table}[h] @@ -257,6 +258,6 @@ $\gamma_{\text{Clutch:Pref}}$ & \newpage -```{r LarvalPtoid Evolvability, echo=FALSE, fig.pos="h", fig.cap="\\label{fig:LarvalPtoidEvolvability}Change in average evolvability for 10,000 random G-matrices using our best (mean) estimate of the curvature matrix for selection in the absence of egg parasitoids vs. the original food web. We found that the curvature imposed by the loss of egg parasitoids decreased evolvability in 57% of the G-matrices (i.e. the change in evolvability was negative for 57% of the simulations), which is smaller in magnitude, but in the same direction, as the effects of losing larval parasitoids."} +```{r LarvalPtoid Evolvability, echo=FALSE, fig.pos="h", fig.cap="\\label{fig:LarvalPtoidEvolvability}Change in average evolvability for 10,000 random G-matrices using our best (mean) estimate of the curvature matrix for selection in the absence of egg parasitoids vs. the original food web. We found that the curvature imposed by the simulated removal of egg parasitoids decreased evolvability in 57% of the G-matrices (i.e. the change in evolvability was negative for 57% of the simulations), which is smaller in magnitude, but in the same direction, as the effects of removing larval parasitoids."} knitr::include_graphics("../analyses/larvalptoid_delta_evolvability.pdf") ``` diff --git a/manuscript/supplementary_material.tex b/manuscript/supplementary_material.tex index 9e317a8..bd0c795 100644 --- a/manuscript/supplementary_material.tex +++ b/manuscript/supplementary_material.tex @@ -139,7 +139,7 @@ \newpage -\beginsupplement +\beginsupplement \begin{table}[h] \caption{Standardized selection gradients acting on egg parasitoids (\textit{Platygaster} sp.)} @@ -320,10 +320,10 @@ evolvability for 10,000 random G-matrices using our best (mean) estimate of the curvature matrix for selection in the absence of egg parasitoids vs.~the original food web. We found that the curvature imposed by the -loss of egg parasitoids decreased evolvability in 57\% of the G-matrices -(i.e.~the change in evolvability was negative for 57\% of the -simulations), which is smaller in magnitude, but in the same direction, -as the effects of losing larval parasitoids.} +simulated removal of egg parasitoids decreased evolvability in 57\% of +the G-matrices (i.e.~the change in evolvability was negative for 57\% of +the simulations), which is smaller in magnitude, but in the same +direction, as the effects of removing larval parasitoids.} \end{figure} \bibliography{references}

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