Saturday, April 18, 2015

REVIEW- Must have books for neotropical wasp identification

Books I have used for identifying wasps to families.

Hymenoptera of the World
Goulet and Huber
Is this kosher? Found a link online: Hymenoptera of the World

Good for beginners when you're identifying your specimens to families. This book has these beautiful, drawn pictures. Love the glossary in the beginning and love the gorgeous and detailed pictures of different families. Would just buy to look at the pictures.

An example page from Hymenoptera of the World

Hymenoptera of Costa Rica
Hanson and Gauld
Amazon link: Hymenoptera of Costa Rica

I just want to warn you. While this guide have pages dedicated to ants and bees, this guide focuses more on parasitoid wasps (as seen in the Amazon review). I have used the key to identify bee specimens to families with success though.

The book has actual photographs of the body parts (black and white) and hand drawn images as well. However, the dichotomous key references to pictures that are on different pages. Can be frustrating as you have to flip back and forth (not the case for Hymenoptera of the World) In my opinion, using this key was a bit faster. It was a lot more straightforward than the Hymenoptera of the World. Also if you're interested in any specimens belonging to the family Ichenumoidea, it goes in depth with like two pages dedicated to the venation on the forewings.

Suggestion:
Whichever you pick, they're both fantastic keys. I would lean a bit more for the Hymenoptera of the World, however.

What I used it for:
Parasitoid wasps in Mexico and in Puerto Rico.



Friday, April 10, 2015

ggpairs- Thoughts


When it works, it's really useful and the graphs are beautiful.
But there are times when I'm banging my head against the wall. Changing the font size of the diagonal plot... is impossible or I'm stupid (I Googled for hours though the latter is a lot more likely).

Here is the important part of the code (excluding some of the appearance sections):


ggpairs(pairwise.dat,axisLabels='internal',title = "Ecosystem Services",colour = "Shade",
###(put the data you want to look at, if you want the name of the variables in the diagonal plots then use- 'axisLabels = 'internal', if you don't have this 'axisLabels = 'internal' then the variable names are on the outside and the diagonal shows the distribution of each variable- can be turned into a histogram)
lower=list(continuous="points", params=list(size= 2.2),axisLabels = 'show'),=
###(lower means the graphs below the diagonal plots) 
upper=list(params=list(corSize=20)))
###(upper means the graphs above the diagonal plots)

Examples:



Tuesday, April 7, 2015

In the Deep End! Reading: Recurrent insect outbreaks caused by temperature-driven changes in system stability


Recurrent insect outbreaks caused by temperature-driven changes in system stability
Authors: William A. Nelson, Ottar N. Bjørnstad, Takehiko Yamanaka


Introduction:

The effect of temperature on individual life-cycles has been well documented but its effect on population dynamics is less clear. For multivoltine* insects (having multiple broods in a year), the effect of temperature contribute to their outbreak "early in the season when climate has helped synchronize the population stage-structure either through induction of diapause (7,8) or differential winter mortality" (Other words: Synchronize the population due to climate change being a stimuli for the induction of diapause OR changing the mortality of the population during winter times) 

The smaller tea-tortrix is a multivoltine insect with outbreaks being 100-4000 folds higher than their troughs. The summer outbreaks are most consistent with intraspecific mechanisms. However, outbreaks are strongly variable throughout a season with outbreaks occurring in the warmer months (May to September) and relatively rare in winter months.

"The classic explanation for such a pattern is that cool winter temperatures synchronize population stage-structure, which leads to transient generation cycles*. This mechanism generally results in cohort synchrony and outbreak amplitudes that are greatest at the start of the season, and decay through time. The decay in cohort synchrony through time is observed in other structured systems (16), and occurs because developmental plasticity and environmental variability cause development to become increasingly uncorrelated."

However, the smaller tea-tortrix's developmental synchrony is further enhanced than eroded.

Method: 


The model utilized for this study utilized coupled integral delay-differential equations with parameters coming from laboratory, experimental work.

 "The model predicts that the population dynamics should be strongly temperature-dependent with decay to extinction at low temperatures, transient fluctuations around a stable equilibrium at intermediate temperatures and sustained generation cycles at higher temperatures"

To see if temperature drives these dynamics, two testable predictions were made:

"The model provides two testable predictions if the dynamics are driven by temperature-dependent destabilization: (i) cycle amplitude should show a threshold response to temperature, and (ii) above the threshold the cycle amplitude should increase roughly proportionally to temperature"

The study also utilized wavelet analysis*. They concluded that there were two dominant patterns looking at the 51 year time series from Japan: A strong and stational signal which reflect an annual cycle and a more pronounced and punctuated non-signals that reflect 4-6 outbreak cycles.

To test the predictions of the ‘classical’ seasonal hypothesis versus the new temperature induced destabilization hypothesis, we regressed outbreak amplitude against temperature using a mixed-effects linear and thresholded piecewise linear model. 

The paper concludes that:

 "The analysis thus strongly supports the hypothesis that temperature destabilizes population dynamics and sustains recurrent outbreaks in this system"

Jargons Jargons Jargons:

voltinism: Voltinism is the number of broods or generations of an organism within a year. Different types of voltinism exists and describe whether an organism has one, two or many broods a year.SOURCE

induction of diapause: 
Diapause, when referencing animal dormancy, is the delay in development in response to regularly and recurring periods of adverse environmental conditions. (Wiki).

Diapause is induced in advance of the advent of the environmental adversity. Diapause-inducing stimuli (or cues) are perceived during a fixed and specific sensitive period, which is genetically determined, and it ranges from various periods within the parental generation through different stages of embryonal, larval and pupal development to the adult individual. The inducing cues are signalling for the coming deterioration of environmental conditions, and the term token stimuli ( Lees, 1955) is used in the literature to distinguish them from direct effects of other environmental factors on the rate of physiological processes. (Vladimír Koštál

transient generation cycles: What is this? Don't know- Google doesn't help.

delay-differential equations: 
The delays or lags can represent gestation times, incubation periods, transport delays, or can simply lump complicated biological processes together, accounting only for the time required for these processes to occur. A great source

Wavelet analysis: A great source


Sunday, April 5, 2015

Wasp Families: Encyrtidae. The Biocontrol Family.

Of the superfamily Chalcidoidea, the family Encyrtidae is one of the easiest to identify. Encyrtids have enlarged mesopleurons (Figure 1 and Figure 2). Mesopleurons is the lateral side of the mesothorax which bears the second pair of legs. The family is also identifiable for its short marginal veins (Figure 1). Finally, the wasps have the distortion of the tergites which creates this U shaped pattern shown in Figure 1, Figure 3, and in Figure 4. They're fairly easy to identify and in the field sampling done in Mexican coffeefarm, this was the largest and most diverse family.




Figure 1. Some rough sketches when I was keying (Drawing: Damie Pak)



Figure 2. The enlarged mesopleuron (Photograph: Damie Pak)



Figure 3. The distortion in the metasoma (Photograph: Damie Pak)



Figure 4. The Anatomy of an Encyrtidae Wasp
http://www.asturnatura.com/familia/encyrtidae.html

The Encyrtidae is widely studied due to its effectiveness in biological control; half of the species are known to control borers and other hemipterans. Some species utilizes lepidopterans for hosts and there are even some Encyrtids that parasitize other wasp families.



Great resources for looking at Encyrtidaes:
http://www.nhm.ac.uk/research-curation/research/projects/chalcidoids/encyrtidae.html

Annotated Keys to the Genera of Nearctic Chalcidoidea (Hymenoptera) ::Genera of Encyrtidae

Saturday, April 4, 2015

How to- Pairwise Comparison Graphs


Haha!
I love this little package!
Package: GGally

Basically I have 6 vectors of different ecological services. I need to look for the correlation coefficient and want to visualize it. I set up a data frame of the services I want to look and call it pairwise.dat.

ggpairs(pairwise.dat,lower=list(continuous="smooth", params=c(colour="blue")),upper=list(params=list(corSize=13)), axisLabels='show')+theme_bw()+theme(legend.position = "none", panel.grid.major = element_blank(), axis.ticks = element_blank(), panel.grid.minor = element_blank(),panel.border = element_rect(linetype = "dashed", colour = "black", fill = NA))





The lower shows the comparisons between two services
The diagonal shows the distribution of a service 
The upper shows the correlation coefficients.