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ABSTRACT<br />
Effects of elevated greenhouse gasses (GG: O3, CO2, CO2+O3, and control) on aspen<br />
leafminer oviposition were studied. Most eggs were found on leaves from the control and<br />
fewest on those from elevated O3 but treatment effect on oviposition was not significant.<br />
Epicuticular wax components differed among aspen clones. Elevated O3 increased<br />
deposition of wax and raised the amounts of alkyl esters. Numbers of leafminer eggs<br />
declined with increasing amounts of fatty acids and primary alcohols in the leaf wax.<br />
Leaves from the treatments used in an oviposition-preference experiment did not differ in<br />
wax composition and no preference for any treatment was detected. Epicuticular wax on<br />
leaves from elevated O3 (and somewhat less from the other GGs) was dense and<br />
amorphous, lacking the crystalline configuration and plate-like structures seen in the<br />
control. The leafminer preferred to lay eggs in larger leaves and those with crystalline<br />
wax with low amounts of alkanes.
There have been many people and organizations that provided me with valuable<br />
assistance and advice throughout the completion of my thesis. I am grateful to my cosupervisors<br />
Drs. Kevin Percy, Canadian Forest Service (CFS), Atlantic Forestry Center<br />
and Marek Krasowski, University of New Brunswick Faculty of Forestry and<br />
Environmental Management. I am also grateful for Professor Dan Quiring’s support as<br />
member of my advisory committee. I also appreciate the advice and support of Dr.<br />
William Mattson, United States Forest Service (USFS). I sincerely thank the CFS for my<br />
stipend and facilities for laboratory analysis and office space.<br />
I thank Professor Miloslav Nosal, University of Calgary Division of Statistics and<br />
Actuarial Science and Dr. Peter Ott, Government of British Columbia, Ministry of<br />
Forests for their careful and thorough statistical guidance.<br />
I<br />
cannot express more sincerely, my appreciation towards Mr. Jaak Sober and Ms.<br />
Wendy Jones at the Aspen-FACE site in Harshaw, Wisconsin. Gratitude is also extended<br />
to Ms. Joanne Lund and all the staff at the USFS Research Station in Rhinelander,<br />
Wisconsin who offered support and services. I would also like to thank Mr. Gerry Bance<br />
at the UNB Microscopy Unit, and Mr. Gary Henderson, Ms. Gretta Goodine, Mr. John<br />
Malcolm and Dr. Gaetan Moreau at the CFS.<br />
Thanks to Mr. R.C. Johns for his earlier reviews and feedback. Dr. Caroline<br />
Awmack provided motivating energy in the early days of my research therefore, I am<br />
grateful for the time and enthusiasm she offered.<br />
And, of course, my warmest acknowledgements towards my family and all my<br />
friends.
ABSTRACT........................................................................................................................ ii<br />
ACKNOWLEDGEMENTS..............................................................................................iii<br />
TABLE OF CONTENTS.................................................................................................. iv<br />
LIST OF TABLES..............................................................................................................v<br />
LIST OF FIGURES............................................................................................................vi<br />
1.0 INTRODUCTION........................................................................................................ 1<br />
2.0 METHODS AND MATERIALS............................................................................... 10<br />
2.1 Study Overview................................................................................................10<br />
2.1.1 Site location and experimental design...........................................10<br />
2.1.2 Fumigation.........................................................................................12<br />
2.2 FACE Ring Population Survey......................................................................13<br />
2.2.1 Leafminer Density............................................................................ 13<br />
2.2.2 Leaf Epicuticular Wax Production and<br />
Chemical Composition.....................................................................14<br />
2.2.3 Statistical Analysis...........................................................................16<br />
2.3 Leafminer Preference..................................................................................... 17<br />
2.3.1 Leafminer Egg Density....................................................................17<br />
2.3.2 Leaf Epicuticular W ax....................................................................19<br />
2.3.3 Epicuticular Wax Structure........................................................... 19<br />
2.3.4 Statistical Analysis...........................................................................21<br />
3.0 RESULTS...................................................................................................................... 23<br />
3.1 FACE Ring Population Survey......................................................................23<br />
3.1.1 Leafminer Density............................................................................23<br />
3.1.2 Leaf Epicuticular W ax....................................................................25<br />
3.2 Leafminer Preference Study..........................................................................33<br />
3.2.1 Leafminer Egg Density....................................................................33<br />
3.2.2 Leaf Epicuticular W ax....................................................................35<br />
3.2.3 Leaf Morphology.............................................................................. 38<br />
3.2.4 Dependence of Egg Quantity on Leaf Area and Wax................ 40<br />
4.0 DISCUSSION................................................................................................................42<br />
5.0 LITERATURE CITIED..............................................................................................53<br />
APPENDIX A ...................................................................................................................... 60<br />
CURRICULUM VITAE
1. Summary of number of cages that contained eggs and number of wax samples<br />
collected from leaves with and without eggs in preference tests replicated four<br />
times........................................................................................................................19<br />
2. Results of analysis of variance on effects on egg density in the population<br />
survey. The REML method of the Mixed Procedure of SAS was used to<br />
test effects of the fixed factor. The random statement identified random<br />
factors of the design (Blk; Blk*Treatment) enabling the program to determine<br />
appropriate error terms for testing the effects of the fixed factor. Covariance<br />
parameter estimates are also included, showing percent of variance<br />
(bracketed) attributed to each random factor........................................................24<br />
3. Results of the analysis of variance on leaf epicuticular wax and its constituents<br />
in leaves of clone 271,216,259 used in the population survey........................ 26<br />
4. Results of analysis of variance on the proportions of eggs on leaves of aspen<br />
from the four greenhouse gas treatments in the preference study. The REML<br />
method of the Mixed procedure of SAS was used to test effects of fixed<br />
factors. All random factors were entered into the Random Statement of the<br />
Mixed Procedure enabling the program to use appropriate error terms for<br />
testing the effects of the fixed factor (treatment). Covariance parameter<br />
estimates for random factors are included, indicating percent of random<br />
variation explained by each.................................................................................. 34<br />
5. Results of the analysis of variance on leaf epicuticular wax and its constituents<br />
in leaves of clone 42E used in the leafminer preference experiment (leaves<br />
from test 3 only)..................................................................................................... 36<br />
6 . Best Subsets Regression: Egg quantity versus leaf surface area, total wax<br />
amount, alkanes, fatty acids, alcohols and alkyl esters....................................... 41
1. Temporal distribution of the ontogenic stages of Phyllonorycter apparella.<br />
Adapted from Martin (1956)..................................................................................... 6<br />
2. The Aspen - FACE site in northern Wisconsin, USA. Block (1,2, 3) and rings<br />
(1 = control; 2 = CO2; 3 = O3; 4 = CO2+O3) distribution....................................... 10<br />
3. A typical allocation of tree species in an experimental ring at the Aspen -<br />
FACE site.................................................................................................................11<br />
4. Typical cage set-up, which included three leaves per treatment and four<br />
treatments per cage...................................................................................................18<br />
5. Effect of treatment with elevated greenhouse gases on leaftniner oviposition<br />
preference (Clone 42E) from population survey. Bars marked with the same<br />
letter represent means not significantly different from each other at a = 0.05.<br />
Capped lines represent halves of standard errors...................................................24<br />
6 . Effect of greenhouse gas treatments on leaf epicuticular wax amount averaged<br />
across clones (259, 216, 271) in leaves from the population survey. Bars of<br />
the same color marked by the same letters are not significantly different from<br />
each other at a = 0.05. Capped lines represent halves of standard errors...........27<br />
7. Effect of greenhouse gas treatments on leaf epicuticular wax composition<br />
averaged across clones (259, 216, 271) in leaves from the population survey.<br />
Bars of the same color marked by the same letters are not significantly<br />
different from each other at a = 0.05. Capped lines represent halves of<br />
standard errors.......................................................................................................... 27<br />
8 . Effect of clone on total epicuticular wax amount averaged across treatments (4)<br />
in leaves from the population survey. Bars marked with the same letter<br />
represent means not significantly different from each other at a = 0.05.<br />
Capped lines represent halves of standard errors...................................................28<br />
9. Effect of clone on leaf epicuticular wax alkyl ester amount averaged across<br />
treatments (4) in leaves from the population survey. Bars marked with the<br />
same letter represent means not significantly different from each other at a =<br />
0.05. Capped lines represent halves of standard errors........................................ 29<br />
10. Effect of clone on leaf epicuticular wax alkane amount averaged across<br />
treatments (4) in leaves from the population survey. Bars marked with the<br />
same letter represent means not significantly different from each other at a =<br />
0.05. Capped lines represent halves of standard errors......................................... 29
11. Effect of clone on leaf epicuticular wax fatty acid amount averaged across<br />
treatments (4) in leaves from the population survey. Bars marked with the<br />
same letter represent means not significantly different from each other at a =<br />
0.05. Capped lines represent halves of standard errors......................................... 30<br />
12. Effect of clone on leaf epicuticular wax primary alcohol amount averaged<br />
across treatments (4) in leaves from the population survey. Bars marked with<br />
the same letter represent means not significantly different from each other at a<br />
= 0.05. Capped lines represent halves of standard errors..................................... 30<br />
13. Comparison of epicuticular wax amount on unmined and mined leaves<br />
averaged across treatments (4) and clones (3) in leaves from the population<br />
survey. Bars marked with the same letter represent means not significantly<br />
different from each other at p=0.05. Capped lines represent halves of standard<br />
errors........................................................................................................................31<br />
14. Mean amounts of wax constituents (alkyl esters, alkanes, fatty acids and<br />
primary alcohols) on mined and unmined leaves from the population study<br />
averaged across all clones (259,216,271) and treatments. Letters pertain<br />
separately to each pair of bars representing the same compound. Pairs of bars<br />
marked with the same letter represent means not significantly different from<br />
each other at a = 0.05. Capped lines represent halves of standard errors............32<br />
15. Effect of greenhouse gas treatments on leafminer oviposition preference<br />
(Clone 42E was used). Bars marked with the same letter represent means not<br />
significantly different from each other at a = 0.05. Capped lines represent<br />
halves of standard errors..........................................................................................34<br />
16. Effect of greenhouse gas treatments on leafminer oviposition preference<br />
(Clone 42E was used) in preference Test 4. Bars marked with the same letter<br />
represent means not significantly different from each other at a = 0.05.<br />
Capped lines represent halves of standard errors...................................................35<br />
17. Effect of greenhouse gas treatments on epicuticular wax composition of<br />
leaves from clone 42E used in the leafminer preference experiment. Bars of<br />
the same color marked by the same letters are not significantly different from<br />
each other at a = 0.05. Capped lines represent halves of standard errors...........37<br />
18. Mean amounts of wax constituents (alkyl esters, alkanes, fatty acids and<br />
primary alcohols) on leaves (clone 42E used) with and without eggs from the<br />
preference study. Letters pertain separately to each pair of bars representing<br />
the same compound. Pairs of bars marked with the same letter represent<br />
means not significantly different from each other at a = 0.05. Capped lines<br />
represent halves of standard errors.........................................................................37
19. Impacts of elevated CO2 and O3 on abaxial leaf epicuticular wax structure<br />
shown in scanning electron micrographs from aspen clone 42E grown under<br />
a) control, b) elevated CO2, c) elevated O3 and d) elevated CO2 + O3. Arrows<br />
indicate wax features. “S” indicates location of stomata.................................... 40
1.0 - Introduction<br />
Since the mid 18 century, atmospheric concentrations of greenhouse gases<br />
(GHG’s) such as CO2 and O3 have increased by 30-35% (IPCC, 2001). Exposure to<br />
elevated O3 is detrimental to forest health (Percy et al., 2003). The increasing release of<br />
CO2 and O3 into the atmosphere affects both climate and the structure and functioning of<br />
ecological communities on local and/or global scales (IPCC, 2001). Many experiments<br />
evaluating the ecological impacts of climate change on forest ecosystems have focused<br />
on its effects on plant growth (eg. Chappelka and Samuelson, 1998; Isebrands et al.,<br />
2001; Kamosky et al., 2003) and the preference and performance of individual<br />
phytophagous insects (eg. Awmack et al., 1996; Bezemer and Jones, 1998; Coviella and<br />
Trumble, 1999; Heagle et al., 1994; Lindroth et al., 1993; Percy et al., 2002; Watt et<br />
al.,1995; Kopper and Lindroth, 2003). Of relevance to this study, it has been reported<br />
that elevated CO2 reduces foliar nitrogen concentration and increases synthesis of carbonbased<br />
defensive metabolites (Wilsey, 1996).<br />
In trembling aspen (Populus tremuloides Michx.), CO2 increases height, diameter<br />
and volume growth, (Isebrands et al., 2001). As well, there are increases in root biomass,<br />
phenolic glycosides and in the carbon-nitrogen ratio (Lindroth et al., 2001; King et al.,<br />
2001; Kopper and Lindroth, 2003). Elevated CO2 also increases foliar consumption by<br />
herbivorous insects, resulting in reduced performance and high mortality rates (Hughes<br />
and Bazzaz, 1997; Stiling et al., 1999). Some herbivore species, particularly aphids, show<br />
increased fecundity at elevated CO2 (Awmack et al., 1997; Goverde et al., 2002; and<br />
Stacey and Fellowes, 2002), although these benefits to insects may be offset by increases<br />
in vulnerability to natural enemies due to a decrease in aphid response to alarm<br />
pheromones (Percy et al., 2002; Stiling et al., 1999).
In general, increased concentrations of O3 have been associated with high<br />
frequency of insect attack (Dahlsten et al., 1997), increases in enzyme activity associated<br />
with general plant defence mechanisms (Kangasjarvi et al., 1994) and potentially with an<br />
increase in insect fecundity (Percy et al., 2002). Specifically, elevated levels of O3 have<br />
been shown to increase pupal weight of forest tent caterpillars (Percy et al., 2002).<br />
Our knowledge about the combined effects of CO2 and O3 on herbivore<br />
performance is limited (Lindroth et al., 1993; Bezmer and Jones, 1998; Isebrands et al.,<br />
2001; Percy et al., 2002), yet we need to investigate combined effects of the two<br />
pollutants interacting with living organisms before we can reliably predict their future<br />
impacts on terrestrial ecosystems (Heagle et al., 1994; Coviella and Trumble, 1999; Watt<br />
et al., 1995; Kopper and Lindroth, 2003). Only one study (Kopper and Lindroth, 2003)<br />
has examined the combined effects of CO2 and O3 on herbivore oviposition preference<br />
and performance, investigating the colonization rates and survivorship of the herbivore.<br />
Although studies have shown individual effects of greenhouse gases, CO2 and O3, on<br />
plant tissue composition and plant-herbivore relationships (preference), no study has<br />
directly investigated the interactions of both gases on leaf surface quality and their<br />
resultant changes in behavioral and reproductive strategies of herbivorous insects.<br />
Insect preference and performance are determined by both plant quality and the<br />
insect’s vulnerability to natural enemies. Plant nutritional status and defensive<br />
mechanisms both affect the preference and performance of individual herbivores<br />
(Awmack and Leather, 2002a). They may be affected by changes in their nutrition, their<br />
defences, and susceptibility to their natural enemies. These factors may all be affected by<br />
both the biotic and abiotic environment (Awmack and Leather, 2002a,b). Although
changes in plant tissue quality caused by elevated CO2 and O3 have been investigated<br />
(Lindroth et al., 2001; Kangasjarvi et al., 1994; Kamosky et al., 2002), less is known<br />
about how these changes affect host preference by herbivorous insects (Awmack et al.,<br />
1996).<br />
Leaf epicuticular waxes influence herbivory directly or indirectly through various<br />
cues including chemical, morphological and visual stimuli (Bemays and Chapman, 1994;<br />
Dutton et al., 2000; Eigenbrode and Espelie, 1995). However, these influences are only<br />
partly understood (Eigenbrode and Espelie, 1995). Leaf epicuticular waxes are located<br />
on the outermost layer of the plant cuticle and comprised of long-chain, saturated<br />
aliphatic molecules (Baker, 1982). The most common types of aliphatic compounds are<br />
alkanes, alkyl esters, primary alcohols, fatty acids and aldehydes (Barthlott et al., 1998).<br />
Chemical composition of epicuticular waxes determines their morphology (Baker, 1982;<br />
Barthlott et al., 1998; Holloway, 1982; Jeffree, 1994). Many plant species can be<br />
identified based on wax morphology and chemistry. Most epicuticular wax studies have<br />
involved plants such as wheat, cabbage and other crop species (Baker, 1974; Baker and<br />
Jeffree, 1981; Eigenbrode and Espelie, 1995). Some studies have investigated the<br />
characteristics of epicuticular waxes of trees such as Eucalyptus sp. (Neinhuis et al.,<br />
2001) and Prunus sp. (Jetter et al., 2000; Jetter and Schaffer, 2001) and Populus sp.<br />
(Kamosky et al., 1999; Percy et al., 2002).<br />
The main function of epicuticular waxes is providing protection against insects,<br />
diseases, and pollutants. They also act as barriers against excessive water loss<br />
(Holloway, 1994). Chemical wax components are biosynthesized by the plant epidermal<br />
cells (Kolattukudy, 1996). Chemical components of epicuticular waxes move within the
cuticular water current to the site of their disposition in a process similar to steam<br />
distillation (Neinhuis et al., 2001). Leaf epicuticular wax morphology and chemistry<br />
vary with changing environmental conditions (Baker, 1982). Air pollutants, such as CO2<br />
and/or O3, alter epicuticular wax composition through direct modification of wax<br />
biosynthesis (Kamosky et al., 1999; Kamosky et al., 2002; Kamosky et al., 2003; Percy<br />
et al., 1994; Percy et al., 2002). Epidermal cells are sensitive to environmental factors;<br />
therefore, the biosynthetic process of wax formation also responds to environmental<br />
factors (Kolattukudy, 1996) such as changes in concentrations of CO2 and O3. Kamosky<br />
et al. (2 0 0 2 ) determined an increase of alkane homologue ratio, increased wax amount,<br />
and a change in wax structure from a crystallite to an amorphous form as a result of<br />
exposure of trembling aspen to elevated O3 and CO2. These alterations to leaf-surface<br />
chemistry and morphology may affect the preference and performance of phytophagous<br />
insects (Eigenbrode and Espelie, 1995) and those of their enemies. The chemical cues<br />
used by the parasitoid to locate its concealed host after landing on an infested area are<br />
plant-derived, as in other tri-trophic systems and not insect-derived (Dutton et al., 2000).<br />
Relevant to this study, Phyllonorycter spp. has been shown to rely on plant-derived<br />
semiochemicals (chemical signals) for host location and ovipositional preference (Dutton<br />
et al., 2 0 0 0 ).<br />
Herbivore population dynamics may be affected by food quality and quantity, by their<br />
natural enemies (Price, 1992), and by changes in the abiotic environment. Bottom-up and<br />
top-down population regulation may both be affected by changes in atmospheric<br />
composition (Awmack and Leather, 2002b). Food webs may be directly impacted via<br />
changes in the relative strength of this dynamic, determined by changes in specific
mechanisms in response to abiotic factors (eg. greenhouse gases) (Price, 1992). The<br />
relationship between oviposition preference and the subsequent performance of offspring<br />
is one of the most important aspects in the evolution of associations between herbivores<br />
and host plants (Thompson, 1988). Some studies have shown a positive relationship<br />
between preferred oviposition and larval performance (McClure et al., 1998). However,<br />
others have provided evidence that some insects show no relationship between<br />
oviposition preference and offspring fitness (Kopper and Lindroth, 2003). As elevated<br />
levels of greenhouse gases affect plant quality, herbivore oviposition preferences may<br />
change and natural selection should favor those females that lay on hosts with best<br />
nutritional status (Quiring and McNeil, 1987). This might be expected, providing they<br />
obtain the correct cues and are not choosing oviposition sites to avoid natural-enemy<br />
attack. Plant nutritional quality is not the only factor determining a female insect’s choice<br />
of oviposition sites since higher-trophic level interactions must also be considered. Plant<br />
quality may affect tri- trophic relationships either via prey/host food source modification<br />
or by the provision of refiigia allowing prey to avoid predators and parasitoids (Awmack<br />
and Leather, 2002a). In other words, herbivores may select poorer quality hosts, in order<br />
to decrease risk of attack by natural enemies.<br />
This study is a part of the world’s largest international FACE (Free Air Carbon<br />
Dioxide Enrichment) project examining the effects of increased levels of carbon dioxide<br />
and ozone on trembling aspen ecosystems (http://aspenface.rntu.edu). Independent and<br />
interacting effects of elevated CO2 and O3 on the preference and performance of aspen<br />
blotch leafminer (Phyllonorycter apparella Herrich-Schaffer (Gracillariidae)) will be<br />
examined.
Martin (1956) was the first to describe the life history of Phyllonorycter apparella.<br />
The distribution of ontogeny stages is shown in Fig. 1. Phyllonorycter apparella is a<br />
univoltine leaf-mining moth that has a wide native distribution in North America (Martin,<br />
1956). The adult moth prefers to oviposit on trembling aspen as oviposition sites, but<br />
also will lay eggs on Populus grandidentata Michx. and Populus balsamifera L.<br />
(Auerbach, 1991). The overwintering adult oviposits on the margins of the abaxial<br />
(underside) surface of leaves in late May until mid-June. Adult moth wings are small and<br />
slender with bronzy-brown forewings, which range from 3.6 to 4.8mm in length (Davis<br />
and Deschka, 2001). There are five larval instars, the timing of which is shown in Figure<br />
1 .<br />
Stage April May June July August September<br />
Egg<br />
1st Instar<br />
2nd Instar<br />
—<br />
3rd Instar<br />
4th Instar<br />
5th Instar<br />
Pupa<br />
Adult<br />
(overwintering)<br />
Figure 1. Temporal distribution of onto genic stages of Phyllonorycter apparella.<br />
Adapted from Martin (1956).<br />
The following description of the ontogenic stages of the aspen blotch leafminer is<br />
based on Martin (1956). The first instar larva feed on the spongy mesophyll by moving<br />
its head from side to side, in a fan shape, advancing towards the mid-vein of the leaf.<br />
The mine width is approximately 3mm after the initial instar. In the second instar, the<br />
larva continues to feed in the same way as the first (Martin, 1956). The larva begins to<br />
form the mine in a circular shape and the mine reaches a diameter of approximately 6 mm.<br />
The third instar larva continues to feed on the mesophyll forming a more oblong mine.
Larva frass, which is black and round, is quite apparent around the edges of the mine. In<br />
the fourth instar, the larva undergoes the most obvious changes. The body becomes<br />
cylindrical, opaque and yellowish, while the mouthparts are extending ventrally, allowing<br />
the larva to feed into the upper palisade mesophyll layer. During the latter stages of this<br />
instar, the larva begins to spin silk webbing in the mine, which attaches the upper mine<br />
surface with the lower surface.<br />
By the fifth instar, the mine is completely woven with silk. Some feeding continues<br />
with the larva avoiding the vascular bundles. Unique identifying feature of this stage is<br />
the appearance of the body, which is dark yellowish-brown, and of the frass, which has<br />
been piled neatly and attached to the upper epidermal wall. At this stage, the mine has<br />
attained an oval shape and reaches its maximum size, averaging 17 mm long and 1 2 mm<br />
wide.<br />
During late-July and early August, the larva pupates within the mine. The fifth and<br />
sixth abdominal segments remain exposed, which permits the pupa a great deal of<br />
movement within the mine. Immediately before adult emergence in mid-August, the<br />
pupa pierces a hole through the lower epidermis and the pupal case remains in this<br />
protruding position for a few weeks.<br />
Only a small percent of individuals reach the adult stage of development due to<br />
predators and parasites (Martin, 1956). From the period of emergence until<br />
overwintering, male and female moths mate. Overwintering sites are located in the<br />
cervices of bark of coniferous trees such as Pinus strobus L., Pinus resinosa Ait., and<br />
Pinus bankisana Lamb.
At high density, leafminers can cause premature browning of the foliage (Martin,<br />
1956). Information regarding economic impacts at times of severe infestations is not<br />
available. Since trembling aspen is the most important deciduous species in the North<br />
American boreal forest (Hogg, 2001), any reduction to its growth and yield may have a<br />
significant economic impact. The leafminer was chosen as a model species for this study<br />
for four reasons: 1) its presence on the research site at endemic population levels; 2 )<br />
ability to identify this species based on mine size. Mine size has been shown to vary in<br />
other Phyllonorycter spp. under CO2 treatments (Stiling et al., 1999); 3) observed<br />
differences in oviposition behavior on different aspen clones reared at elevated CO2<br />
and/or O3 (Kopper and Lindroth, 2003); and 4) leafminers are ideal experimental subjects<br />
because the larvae spend their entire lives inside mines that they form within leaves<br />
(Hesman, 2000); therefore, one can accurately determine population behavior. There is<br />
evidence of larval presence whether the herbivore is living or dead (from parasitoid) or<br />
has emerged (leaving behind frass and the pupal case) (Awmack, unpublished data,<br />
2001).<br />
Natural enemies of P. apparella include parasitoids from the family Braconidae (eg.<br />
Apanteles sp. and Pholetesor salicifliella), Eulophidae (eg. Chrysocharis sp., Cirrospilus<br />
sp., Pediobius sp., Pnigalio sp., Sympiesis sp.), Ichneumonidae (eg. Alophosterum<br />
foliicola, Diadegma sp., Scambus decorus) and Pteromalidae (Davis and Deschka, 2001).<br />
The main objective of this study was to link the changes in aspen leaf epicuticular<br />
wax chemical composition and morphology, due to exposure to elevated levels of CO2<br />
and/or O3, with aspen blotch leafminer oviposition site selection. This was the first study
to use population and bioassay studies to examine this link for aspen blotch leafminer.<br />
This objective was addressed by developing the following hypotheses:<br />
1 - If ovipositing leafininers prefer leaves with higher amounts of alkanes and<br />
fatty acids in epicuticular wax (Eigenbrode and Espelie, 1995), and these amounts are<br />
increased by the individual and combined effects of elevated CO2 and O3 levels<br />
(Kamosky et al., 2002; Percy et al., 2002), then colonization should be highest on leaves<br />
exposed to elevated CO2 and O3. Furthermore, on clones more sensitive to O3, alkane<br />
and fatty-acid amounts should increase more than in less sensitive clones (Kamosky et<br />
al., 1999).<br />
2 - If ovipositing leafininers prefer leaves with amorphous epicuticular wax surface<br />
structure (Eigenbrode and Espelie, 1995), and structure type changes from crystallite to<br />
amorphous by the individual and combined effects of elevated CO2 and O3 levels<br />
(Kamosky et al., 2002), then colonization should be highest on leaves exposed to<br />
elevated CO2 and O3 treatments.<br />
Based on these two hypotheses, it is predicted that colonization will be higher on<br />
clones more sensitive to O3. Furthermore, a critical component of defining the linkage<br />
between leaf surface properties and aspen blotch leafminer oviposition is to verify that<br />
leaf surface chemistry and morphology of aspen change in response to additive and/or<br />
interacting effect of CO2 and O3, as shown in previous studies (Kamosky et al., 2002;<br />
Percy et al., 2002).
2.1 Study Overview<br />
2.1.1 Site location and experimental design<br />
The Aspen-FACE (Free Air Carbon Enrichment) site (Fig. 2) is located near<br />
Rhinelander in northern Wisconsin, USA (45 .06 N; 89 .071W), on the Harshaw<br />
Experimental Farm (32ha) of the USDA Forest Service. The experiment established in<br />
1997 on the site comprises three randomized blocks each containing four 30-m diameter<br />
FACE rings, each randomly assigned to one of four treatments (control, elevated CO2,<br />
elevated O3 and elevated CO2+ O3). Rings are spaced at least 100 m apart to exclude<br />
ring-to-ring air drift.<br />
Figure 2. The Aspen - FACE site in northern Wisconsin, USA. Block (1, 2, 3)<br />
and rings (1 = control; 2 = C 02; 3 = 0 3; 4 = C 0 2 + 0 3) distribution.
Spaced at 1 m x 1 m, 760 trees were planted in each ring. Half of each ring<br />
contains trembling aspen (Populus tremuloides Michx.; 5 genotypes). The other half<br />
consists of two quarters: one quarter has white birch (Betula papyrifera Marsh.) mixed<br />
with trembling aspen and the other has sugar maple (Acer saccharum Marsh.) with<br />
trembling aspen (Fig. 3). Samples for this study were taken exclusively from the pure<br />
aspen communities.<br />
Figure 3. A typical allocation of tree species in an experimental ring at the<br />
Aspen - FACE site.
2.1.2 Fumigation<br />
In 2003, ambient levels in the control rings for CO2 and O3 were 362 ppm and<br />
38.4 ppb, respectively. In 2004, they were 373 ppm and 34.9 ppb, respectively. Elevated<br />
levels of CO2 and O3 were based on concentrations predicted for the year 2050 in the<br />
Great Lakes region (Dickson et al., 2000). Trees inside the CO2 rings were fumigated<br />
from dawn until twilight (i.e. when the sun elevation angle exceeded 6 ° from the<br />
horizon).<br />
During 2003, elevated CO2 levels were 537 ppm (averaged across three rings)<br />
from May to October for 145 days. During 2004, elevated CO2 levels were 512 ppm<br />
(averaged across three rings) from May to October for 150 days.<br />
During 2003, the O3 elevated hourly average levels were 51.4 ppb, that is, 1.34 X<br />
ambient (averaged across three rings). During 2004, the O3 elevated hourly average<br />
levels were 41.1 ppb, that is, 1.18 X ambient (averaged across three rings). Elevated<br />
levels of O3 were aimed at 1.34 -1.4 times that of ambient levels. The intended<br />
concentrations were based on a daily-alternating exposure that followed a diurnal<br />
ambient profile based on actual O3 data (Kamosky et al., 1999). Depending on<br />
meteorological conditions and forecasts, during both years, O3 maximum hourly average<br />
concentrations ranged from 46 ppb (on cool, cloudy days) to 85 ppb (on hot, sunny days).<br />
Trees fumigated with CO2 + O3 were exposed to a combination of the elevated levels.
2.2 FACE Ring Population Survey<br />
2.2.1 Leafminer Density<br />
Aspen clone 216 was intended for use in the population survey of leafminer<br />
density and leafminer preference study in order to maintain consistency with the wax<br />
analysis in the population survey. However, in the spring of 2004, the FACE site<br />
suffered from an outbreak of the pathogen, Venturia sp. Aspen clone 216 was particularly<br />
susceptible to this fungus. Although it does not induce tree mortality, it significantly<br />
affected crown form and leaf surface quality. Hence, aspen clone 42E (moderate<br />
sensitivity to O3) was used in leafminer density assessment because it was relatively<br />
unaffected by the pathogen. Leaves affected by the fungus were not selected. Fiftycentimeter<br />
branch segments were sampled from the middle of the upper tree canopy<br />
(approx. 4-5 m above ground). Branch segments were excised from full-sun laterals<br />
using a pole pruner. In order to reach live-leaf crowns in the CO2 rings, which began at<br />
approximately three meters height, a ladder was used. One segment was sampled from<br />
each of five haphazardly selected trees in each of the twelve FACE rings. On average,<br />
there were 73 leaves per branch segment. In total, 4400 leaves were examined for<br />
presence of eggs or early mines.<br />
The total number of leaves per segment was tallied. The proportion of the<br />
leafminer was expressed as a number of eggs or mines per leaf. Parasitized eggs (i.e.<br />
collapsed-dome shaped and no mine present) and parasitized mines (i.e. light brownish<br />
and/or with a tear/hole) were included in the count because they included a chosen<br />
oviposition site. These criteria were used because the survey was carried out during the
second week of June 2004 when moth oviposition was already ending and egg hatch and<br />
mine initiation began.<br />
2.2.2 Leaf Epicuticular Wax Production and Chemical Composition<br />
Leaves for wax analysis were collected in spring 2003, before the Venturia sp.<br />
outbreak. Aspen clones 259,216 and 271 (in decreasing sensitivity to O3) were used in<br />
epicuticular wax analysis. Leaves were selected based on the leaf plastachron index (LPI)<br />
system. The LPI is a method used to identify the physiological age of a leaf on a plant<br />
shoot (Percy, pers. com.). Leaves from LPI 6 - 8 located on full-sun, first order laterals<br />
were removed. Trees were selected based on average height and diameter in a ring,<br />
within 5m of the ring center. There were 215 samples collected; three leaves per clone<br />
(one tree), three clones per ring, twelve rings, and two levels of leafminer damage (mined<br />
or unmined). Leaf epicuticular wax was collected on the site by rinsing the adaxial and<br />
abaxial leaf surfaces with 3ml of CHCL3 using a glass syringe. Mined leaves were cut<br />
with a razor blade into mined and unmined portions. Wax was collected only from the<br />
unmined portion. Leaf surface area was measured (± 1cm2) at the USDA Forest Service<br />
lab in Rhinelander, Wisconsin using a leaf surface area meter (Type LI-3050A/2, Lambda<br />
Instrument Corporation, Lincoln, NB, USA).<br />
The solvent/wax solution was filtered, solvent evaporated, and wax weighed to<br />
the nearest ±10 ng and expressed as p,g cm'2 leaf area. Wax samples were analyzed using<br />
a Varian 3410 (Varian Incorporated, Walnut Creek, CA, USA) gas chromatograph (GC).<br />
Retention times were determined on a DB1-HT capillary column (15 m; 0.32 mm inner<br />
diameter [i.d.]) with methyl silicone liquid phase (0.1 |xm film thickness). Carrier gas<br />
(He) flow was 7.5 mL/min. Column programming was 70°C to 120°C at 20°C m in 1;
121°C to 390°C at 6 °C min'1. The septum programmable injector was programmed at<br />
75°C to 125°C at 18°C min'1; 126-395°C at 12°C min'1; hold 15min. The flame<br />
ionization detector (FID) was operated at 400°C. Wax samples were silylated with n-<br />
trimethylsilylacetimide (TMSI) at 35°C for 30 min. The homologue assignments and<br />
peak integration were determined with Varían version 6.0 Workstar (Varían Incorporated,<br />
Walnut Creek, CA, USA) software and injection of pure reference homologues and<br />
reference wax mixtures.<br />
A Hewlett-Packard 5989 GC-MS (Hewlett Packard - Palo Alto, CA, USA mass<br />
spectrometer was used in final confirmation of homologue assignments. A DBH1-HT<br />
column (15m; 0.32mm i.d.; 0.1 jim film thickness) was temperature programmed from<br />
70°C to 345 at 12°C m in _1 (hold 30 min). Helium carrier gas flow rate was 1.0 mL'1.<br />
Injection was on-column at 250°C. The electron impact (El) mass spectra were searched<br />
against Wiley, NIST and CFS pure homologue libraries. Ion source and quadrupole<br />
temperatures were 275°C and 100°C, respectively.<br />
The number of counts, associated with each homologue was combined into<br />
classes (alkanes, fatty acids, primary alcohols, and alkyl esters; 98% of resolved peaks).<br />
Homologue class value was expressed as a percentage of the total amount of wax per unit<br />
leaf surface area (ng/cm2). The counts for each sample were then normalized to account<br />
for the FID efficiency response by multiplying all values by a previously determined ratio<br />
for each homologue class.
2.2.3 Statistical Analysis<br />
The analyses of variance (ANOVA) were done using the REML method of the<br />
Mixed Procedure (PROC MIX) of SAS© (Version 8.2 for Windows - The SAS Institute<br />
Inc., Cary, NC, USA). The ANOVA was performed according to the completely<br />
randomized block design. In all analyses of variance in the thesis, differences between<br />
means were compared using the Least Square Means option.<br />
The analysis of leafminer egg density was performed on the average number of<br />
eggs per sample. In the analysis, the random statement was used (here and in other<br />
analyses made in Mixed Procedure of SAS) listing the random factors (i.e. block and<br />
block*treatment) enabling SAS to use correct error terms for testing the fixed variable(s)<br />
(here, the treatment). Analysis of leaf wax was performed on the total amount of wax and<br />
on each of its constituents; alkyl esters, alkanes, fatty acids, and primary alcohols. The<br />
elements of experimental design included three blocks; four treatments (CO2, O3, CO2 +<br />
O3 and control); three clones (259,216,271); and the presence of damage from leafminer<br />
(mined or unmined).<br />
Residuals in the analyses of variance were tested for normality of distribution<br />
using the Univariate Procedure of SAS. Where the data were found not to be normally<br />
distributed, the Box-Cox option of SAS’ Transreg Procedure was used to determine the<br />
most appropriate transformation of the data for normalization of their distribution. Then,<br />
the Box-Cox transformation was applied to the data. A transformation was required for<br />
the leafminer egg density analysis but not for the wax data. All data shown in the thesis<br />
are untransformed, even when transformation was used for their analyses. This approach
to testing and transformation of continuous data requiring normalization of distribution is<br />
consistently applied throughout this thesis.<br />
2.3 Leafminer Preference<br />
2.3.1 Leafminer Egg Density<br />
Female moths were collected from the surface of trunks of mature softwood trees (i.e.<br />
white pine, red pine, Abies balsamea (L.) Mill., Picea glauca (Moench) Voss and Picea<br />
mariana (P. Mill.) B.S.P.). Moths were removed from trunks using an aspirator and<br />
placed into 30 ml clear plastic vials. Moths were refrigerated for no longer than 48 hours<br />
at 2°C before the beginning of the experiment. After refrigeration, one female moth was<br />
added to each vial.<br />
Leaves were collected in 2004 from aspen clone 42E, from all FACE rings.<br />
Leaves from L P I6 - 8 on full-sun, main laterals were removed with attention not to<br />
damage the petiole. To ensure maximum leaf turgidity, petioles of excised leaves were<br />
placed in water sprigs. Three leaves on one shoot of each ring were placed in each water<br />
sprig. Leaves were transported to the United States Forest Service (USFS) greenhouse<br />
located near the site, in Rhinelander, Wisconsin. Mean temperature within the<br />
greenhouse was 25.4°C daytime and 19.3°C night time. Mean relative humidity was<br />
40.8% daytime and 60.9% night time. One sprig per treatment (i.e. 3 leaves/treatment)<br />
was inserted into a stryofoam base and covered in a 0.5 mm white mesh cage held in<br />
place by a metal cage (Fig. 4).
Figure 4. Typical cage set-up, which included three leaves per treatment and four<br />
treatments per cage.<br />
The cage was a conical structure, approximately 50 cm in height. Moths were removed<br />
from cool storage to adjust to greenhouse temperature. One live female was added to<br />
each cage. After 24 hours, eggs laid on each leaf were counted. Egg position on the leaf<br />
and the status of the female moth (i.e. dead or alive) was also recorded because some<br />
moths were found dead.<br />
This experiment was carried out at four different times over a 20-day period.<br />
Cages without eggs were not used in preference analysis. Where the female moth was<br />
found dead, it was assumed it died before it could oviposit. When no eggs were found,<br />
but the female was alive, it was assumed she did not have any eggs to lay. The numbers<br />
of cages from which data were gathered are given in Table 1.
Table 1. Summary of the number of cages that contained eggs and number of<br />
wax samples collected from leaves with and without eggs in preference<br />
tests replicated four times.<br />
Replicate Number of Cages Wax Samples<br />
With Eggs Without Eggs With Eggs Without Eggs<br />
1 48 45 0 0<br />
2 25 11 0 0<br />
3 2 0 16 39 1 0 1<br />
4 24 1 2 37 6 6<br />
2.3.2 Leaf Epicuticular Wax<br />
Epicuticular wax was removed from leaves from replicates three and four (Table<br />
1). Leaf wax was collected from abaxial sides of leaves with or without eggs (Table 1)<br />
using 3 mL of CHCL3 dispensed with a syringe. The wax samples were labeled for<br />
identification (including the treatment from which the leaves were originally collected,<br />
the cage, and the replicate number). The solvent/wax solution was filtered, solvent<br />
evaporated, and wax weighed to the nearest ± 1 0 |ig and expressed as ^g cm' 2 leaf area.<br />
Wax was analyzed using GC-MS from replicate three only. Time constraints did<br />
not permit wax samples from replicate four to be analyzed. Thirty-two and thirty-six<br />
samples were analyzed from leaves with eggs and without eggs respectively. The<br />
procedure for epicuticular wax analysis was that used in the population survey described<br />
in section 2 .2 .2 .<br />
2.3.3 Epicuticular Wax Structure<br />
Leaves for scanning electron microscopy (SEM) analysis were collected from<br />
FACE and stored in coolers to maintain leaf turgidity. In order to maintain consistency<br />
with the preference experiment, leaves were removed from full-sun, main lateral
anches at L P I6 -8 . Leaves from the same LPI were presumed to be at the same stage of<br />
wax development, based on Baker (1982). One day after leaf excision, leaves were<br />
viewed and photographed under cryo-scanning electron microscopy. Only turgid leaves<br />
were viewed. Surfaces of twelve leaves were examined (i.e. one leaf/treatment/block).<br />
The University of Minnesota Hitachi S-3500N SEM with Quartz PCI digital<br />
imaging, photo CRT recording camera, environmental secondary electron detector<br />
(ESED) and Windows NT operating system was used. Optimum SEM operating<br />
conditions were: 5kV-accelerating voltage and 12mm detector working distance. The<br />
SEM was adapted cryogenically with the Emitech K-l 150 Cryogenic System, including a<br />
cryo-preparation unit, airlock interface to SEM and sputter coater. The liquid nitrogen<br />
reservoir for the cryo-SEM system was frequently replenished during specimen<br />
preparation and viewing to maintain low temperatures in the devices.<br />
Square sections approximately 1cm2 were removed from the mid-section of the<br />
leaves using a scalpel and razor blade. Care was taken not to abrade or damage the<br />
epicuticular wax structure by specimen handling. Each specimen was mounted onto a<br />
bronze stub with the abaxial surface exposed for viewing. Non-conductive, self-sticking<br />
adhesive tabs were used to mount the section to the stub. Conductive carbon paint was<br />
then applied to the edges of the leaf section. The stub was then placed on the transfer rod<br />
and slowly plunged into liquid nitrogen slush under vacuum. Upon freezing, the<br />
specimen stub was transferred under vacuum to the cryo-SEM preparation chamber. The<br />
preparation stage was pre-cooled with liquid nitrogen to -1 83°C. Any ice or frost that
was present was removed using sublimation by heating (to the maximum of -75°C) the<br />
stub from below and above. Stub temperature was lowered again to -183°C.<br />
The specimen was then transferred to the coating area of the cryo-SEM system<br />
preparation chamber. The specimen stub was sputter coated twice for two minutes at a<br />
sputtering current of 35mA. The gold-coated sample was then available for examination<br />
under the SEM. Leaf surface characteristics that were deemed to be representative of the<br />
viewed leaf surface were photographed over a consistent set of magnifications.<br />
2.3.4 Statistical Analysis<br />
The analysis of variance on leafminer egg density and leaf wax data were done<br />
using the REML method of the Mixed Procedure of SAS© (Version 8.2 for Windows -<br />
The SAS Institute Inc., Cary, NC, USA). Egg density was expressed as a proportion of<br />
eggs on leaves from the four treatments. The ANOVA on leafminer egg density was<br />
performed according to split-split plot with treatment being the main plot, test the splitplot,<br />
and the bench as the split-split plot. The analysis was performed on proportions of<br />
eggs whereby eggs in each treatment per cage were expressed as a proportion of the total<br />
number of eggs in that cage. The model random statement was used listing the random<br />
factors (i.e. bench*replicate, bench*treatment, replicate*treatment, bench*replicate*<br />
treatment). In terms of experimental design, “bench” is considered a replicate.<br />
The ANOVA on leaf wax data was performed according to the split-plot design with the<br />
main plot being the treatment, leaf-damage status as the split-plot. The bench was treated<br />
as a replicate and was the only random factor. The random statement was used again<br />
specifying the random factor and its interactions with the fixed factors. Leaf wax total
amount and its constituents; alkane, fatty acid, primary alcohol and alkyl ester were<br />
analyzed separately in this way. All data were found to be normally distributed and no<br />
transformations were required.<br />
Residuals for both analyses were tested for normality using the Univariate<br />
Procedure of SAS. Regression analysis in MINITAB® was used to examine the<br />
relationship between leafminer preference, as indicated by the number of leafminer eggs<br />
and epicuticular wax composition. In addition to total wax amount and composition, leaf<br />
surface area was included as a predictor variable. Best subsets regression is an efficient<br />
method used for building a best-fitting regression model with as few predictor variables<br />
as possible (MINITAB® Release 14.1). The strength of this model was then determined<br />
based on p- and R-squared values for different predictor variables.<br />
The predictors were selected based on Best Subsets Regression (BSR) analysis<br />
that results in the best model. The best model is determined by the minimum number of<br />
parameters (p) with the highest R-squared (R2) adjusted value, while taking standard<br />
deviation (S) and the C-p into account. The C-p is the measure of the difference of a<br />
fitted regression model from a true model, along with the random error. The objective<br />
was to select a model with a C-p of (p+1) or below.
3.0 - Results<br />
3.1 FACE Ring Population Survey<br />
Egg density was assessed in the spring of 2003, however data collected did not<br />
accurately reflect the status of the population due to extremely low numbers of eggs<br />
surveyed on leaves. Therefore, improved sampling techniques were employed in spring<br />
2004. Moths were observed flying at the FACE site May 25,2004. This date was later<br />
than in previous years (Kopper, pers. com.) due to spring meteorological conditions (i.e.<br />
cool, wet weather).<br />
The first flight of leafminer moths corresponded with leaf expansion. They were<br />
observed flying during twilight hours. The beginning of flight appeared to be<br />
synchronized among the majority of moths, as also perceived by others (Kopper, pers.<br />
com.; Auerbach, pers. com.). Upon landing on an aspen branch, leafminer moths were<br />
observed rapidly walking to leaves. When reaching the leaf, moths did not appear to<br />
encounter difficulty walking on either adaxial or abaxial surfaces. However, the act of<br />
oviposition was not observed.<br />
3.1.1 Leafminer Density<br />
Density was assessed in mid-June, 2004 and egg density was not significantly<br />
affected by treatment (Table 2). Differences in least squares means comparison between<br />
the control treatment and the O3 treatment revealed that density was marginally not<br />
significantly (p=0.055) greater on leaves from the control (Fig. 5). Egg density tended to<br />
be greater in the control and least in the O3 treatment (Fig. 5).
0.8<br />
co<br />
^ 0.6-<br />
(O<br />
o> 0.5<br />
a><br />
* 0.4-<br />
X<br />
X<br />
X<br />
X<br />
«<br />
1 0 .3 -<br />
©<br />
Q 0.2-<br />
O)<br />
u? 0.1<br />
0 -<br />
Control C02 03 C02+03<br />
T reatment<br />
Figure 5. Effect of treatment with elevateci greenhouse gases on leafminer<br />
oviposition preference (Clone 42E) from population survey. Bars marked<br />
with the same letter represent means not significantly different from each<br />
other at a = 0.05. Capped lines represent halves of standard errors.<br />
Among the random factors, the least of variation was explained by block (Table<br />
2). The greater density of eggs was in block 3, followed in decreasing order by block 1<br />
and block 2. Block*treatment explained almost one fifth of the random variation (Table<br />
2 ), indicating inconsistent distribution of eggs in treatments in different blocks.<br />
Table 2. Results of analysis of variance on effects on egg density in the population<br />
survey. The REML method of the Mixed Procedure of SAS was used to test<br />
effects of the fixed factor. The random statement identified random factors of the<br />
design (Blk; Blk*Treatment) enabling the program to determine appropriate error<br />
terms for testing the effects of the fixed factor. Covariance parameter estimates<br />
are also included, showing percent of variance (bracketed) attributed to each<br />
random factor.<br />
Dependent<br />
Variable<br />
Sources of<br />
Variation<br />
Num<br />
df<br />
Den<br />
df<br />
F-<br />
value<br />
P-<br />
value<br />
Covariate<br />
Parameter<br />
Estimate<br />
Eggs Treatment 3 6 2.04 0.20<br />
Block<br />
Block*Trt<br />
Residual<br />
Total<br />
0.0028 (7.2%)<br />
0.0075 (19.4%)<br />
0.0284 (73.4%)<br />
0.0387 (100%)<br />
Block: 1,2, 3; Treatment: 1- control, 2-C02, 3-03, 4-C02+ 0 3; df=degrees of freedom,<br />
Num = numerator, Den = denominator
3.1.2 Leaf Epicuticular Wax<br />
ANOVA are presented in Table 3. Results are described following the source of<br />
variation effects on different wax constituents. Averaged across clones 271,216, and<br />
259, total wax amount was significantly (p
Table 3. Results of the analysis of variance on leaf epicuticular wax and its<br />
constituents in leaves of clone 271,216,259 used in the population survey<br />
Dependent Sources o f Variation Num Den F P-value<br />
Variable df df<br />
Total Wax Treatment 3 6 7.52
Treatment<br />
Figure 6. Effect of greenhouse gas treatments on leaf epicuticular wax amount<br />
averaged across clones (259, 216, 271) in leaves from the population<br />
survey. Bars marked with the same letter represent means not significantly<br />
different from each other at p = 0.05. Capped lines represent halves of<br />
standard errors.<br />
Eo<br />
a><br />
o<br />
E<br />
<<br />
Control<br />
Alkyl Ester<br />
Alkane<br />
Fatty Acid<br />
Primary Alcohol<br />
C 0 2<br />
Treatment<br />
C O 2 + O 3<br />
Figure 7. Effect of greenhouse gas treatments on leaf epicuticular wax<br />
composition averaged across clones (259, 216, 271) in leaves from the<br />
population survey. Bars of the same color marked by the same letters are<br />
not significantly different from each other at a = 0.05. Capped lines<br />
represent halves of standard errors.
Clones varied significantly in the total amount of wax and the differences were<br />
consistent across treatments (no interaction) (Table 3). Leaves from clone 259 had a<br />
significantly larger amount of total wax than leaves from clones 271 and 216 (Fig. 8).<br />
Clones varied significantly in alkyl ester amount and the differences were consistent<br />
across treatments (no interaction) (Table 3). Leaves from clone 259 had a significantly<br />
larger amount of alkyl esters than leaves from clones 271 and 216 (Fig. 9) corresponding<br />
with decreasing 0 3 -sensitivity in clones as reported by Kamosky et al. (1999). The effect<br />
of clone on alkyl esters was significant (Table 3). Wax from leaves of clone 271 had<br />
significantly more alkanes compared to clones 216 and 259 (Table 3, Fig. 10). The<br />
amounts of fatty acids on leaves from clone 271 were greater than in clones 216 and 259<br />
(Fig. 11), but the clone effect was not significant (Table 3). The amounts of primary<br />
alcohols were not significantly affected by clone (Table 3) even though the mean of clone<br />
259 was the smallest (Fig. 12).<br />
D)<br />
3<br />
C<br />
O<br />
3<br />
X<br />
CO<br />
CO<br />
•+-»<br />
o<br />
Figure 8. Effect of clone on total epicuticular wax amount averaged across<br />
treatments (4) in leaves from the population survey. Bars marked with the<br />
same letter represent means not significantly different from each other at a<br />
0.05. Capped lines represent halves of standard errors.
E<br />
o<br />
~Q)<br />
3<br />
<br />
CD<br />
-*-»<br />
0)<br />
LU<br />
Figure 9. Effect of clone on leaf epicuticular wax alkyl ester amount averaged<br />
across treatments (4) in leaves from the population survey. Bars marked<br />
with the same letter represent means not significantly different from each<br />
other at a = 0.05. Capped lines represent halves of standard errors.<br />
271<br />
e<br />
O<br />
O)<br />
D<br />
<br />
© C(0<br />
216<br />
259<br />
C lone<br />
Figure 10. Effect of clone on leaf epicuticular wax alkane amount averaged<br />
across treatments (4) in leaves from the population survey. Bars marked<br />
with the same letter represent means not significantly different from each<br />
other at a - 0.05. Capped lines represent halves of standard errors.
271 216 259<br />
C lone<br />
Figure 11. Effect of clone on leaf epicuticular wax fatty acid amount averaged<br />
across treatments (4) in leaves from the population survey. Bars marked<br />
with the same letter represent means not significantly different from each<br />
other at a - 0.05. Capped lines represent halves of standard errors.<br />
C lone<br />
Figure 12. Effect of clone on leaf epicuticular wax primary alcohol amount<br />
averaged across treatments (4) from the population survey. Bars marked<br />
with the same letter represent means not significantly different from each<br />
other at a = 0.05. Capped lines represent halves of standard errors.
The total wax amount was not significantly different between leaves that were<br />
mined and those that were unmined (Table 3, Fig. 13). The amounts of alkyl esters and<br />
alkanes in mined and unmined leaves were not affected by leafminer presence (LP)<br />
(Table 3, Fig. 14). There was a significant effect of LP on amounts of fatty acids (Table<br />
3) that were smaller in mined than unmined leaves (Fig. 14). Primary alcohol amounts<br />
were also significantly (Table 3) larger in unmined than in mined leaves (Fig. 14).<br />
unmined<br />
mined<br />
Leafminer Presence<br />
Figure 13. Comparison of epicuticular wax amount on unmined and mined leaves<br />
averaged across treatments (4) and clones (3) in leaves from the population<br />
survey. Bars marked with the same letter represent means not significantly<br />
different from each other at a = 0.05. Capped lines represent halves of<br />
standard errors.
20<br />
E<br />
o<br />
15> =3C<br />
3 O<br />
E<br />
<<br />
15<br />
10 -<br />
5 -<br />
a a<br />
Il I.<br />
Ester<br />
Unm ined<br />
Mined<br />
A lkane Fatty Acid Alcohol<br />
Wax Constituent<br />
Figure 14. Mean amounts of wax constituents (alkyl esters, alkanes, fatty acids<br />
and primary alcohols) on mined and unmined leaves from the population<br />
study averaged across all clones (259, 216, 271) and treatments. Letters<br />
pertain separately to each pair of bars representing the same compound.<br />
Pairs of bars marked with the same letter represent means not significantly<br />
different from each other at a = 0.05. Capped lines represent halves of<br />
standard errors.<br />
The only significant (p=0.05) interaction in the analysis of wax constituents was<br />
between treatment and clone for alkyl ester amount. There are different responses in the<br />
amount of alkyl esters to treatments in different clones.
3.2 Leafminer Preference Study<br />
It was challenging to keep moths alive from the period of collection to initiation<br />
of the preference tests. Twice the amount of moths required was collected to ensure a<br />
sufficient number of moths for the tests.<br />
Moths were not observed ovipositing on leaf (clone 42E) surfaces.<br />
Approximately 50% of cages contained leaves with successfully ovipositing moths. Eggs<br />
may not have been laid because female moths either did not have eggs to lay or they died<br />
before laying eggs.<br />
3.2.1 Leafminer Egg Density<br />
Eggs were located on the abaxial surface of aspen leaves, usually towards leaf<br />
margins and were visible with a 10X hand lens (Appendix A, Fig. 1). Analysis was<br />
performed on proportions of eggs whereby eggs in each treatment per cage were<br />
expressed as a proportion of the total number of eggs in that cage. When all tests were<br />
combined for the analysis of variance, egg proportion was not significantly affected by<br />
treatment (Table 4). There was a trend for more eggs on leaves from the control and CO2<br />
(Fig. 15), similar to the population survey. Contribution of random elements of the<br />
experimental design to the overall random variation was very small. They jointly<br />
explained only 8.3% of variation in the distribution of eggs while the unexplained<br />
(residual) random variation accounted for the remaining 91.7% of variance (Table 4).
Table 4. Results of analysis of variance on the proportions of eggs on leaves of aspen<br />
from the four greenhouse gas treatments in the preference study. The REML<br />
method of the Mixed procedure of SAS was used to test effects of fixed factors.<br />
All random factors were entered into the Random Statement of the Mixed<br />
Procedure enabling the program to use appropriate error terms for testing the effects<br />
of the fixed factor (treatment). Covariance parameter estimates for random factors<br />
are included, indicating percent of random variation explained by each.<br />
Dependent<br />
Variable<br />
Sources of<br />
Variation<br />
Num<br />
df<br />
Den<br />
df<br />
F-<br />
value<br />
P-<br />
value<br />
Eggs Treatment 3 6 0.33 0.80<br />
Covariate<br />
Parameter<br />
test<br />
bench<br />
Test*bench<br />
Test*Trt<br />
Bench*Trt<br />
Test*bench*trt<br />
Residual<br />
Estimate<br />
0<br />
0<br />
0<br />
38.70 (3.5%)<br />
49.82 (4.5%)<br />
3.72 (0.3%)<br />
1011.67(91.7%)<br />
Total 1103.91 (100%)<br />
Test: 1,2, 3; Bench: 1,2, 3; Treatment: 1- control, 2-C02, 3-03, 4-C02+ 0 3; df=degrees of freedom,<br />
Num = numerator, Den = denominator<br />
0)<br />
B><br />
RS<br />
.O<br />
IS o> o><br />
d><br />
"rë<br />
c<br />
o<br />
r oaos_<br />
a.<br />
o><br />
O)<br />
LU<br />
Control CO2 O3<br />
Treatment<br />
C02+03<br />
Figure 15. Effect of greenhouse gas treatments on leafminer oviposition<br />
preference (Clone 42E was used). Bars marked with the same letter<br />
represent means not significantly different from each other at a = 0.05.<br />
Capped lines represent halves of standard errors.
When tests were analyzed individually, there were no significant effects of<br />
treatment in first three tests (the earliest tests). However, there was a significant (p=0.03)<br />
effect of treatment on egg proportion in test 4. The egg proportion in the control was<br />
greater than in the CO2, O3 and CO2 + O3 (Fig. 16).<br />
Control C 02 0 3<br />
Treatment<br />
CO2+O3<br />
Figure 16. Effect of greenhouse gas treatments on leafminer oviposition<br />
preference (Clone 42E was used) in preference replicate 4. Bars marked<br />
with the same letter represent means not significantly different from each<br />
other at a = 0.05. Capped lines represent halves of standard errors.<br />
3.2.2 Leaf Epicuticular Wax<br />
There were no statistically significant effects of treatment or leafminer<br />
presence on total wax amount and wax constituent classes (Table 5). Unlike the<br />
population survey, total wax amount was not significantly greater in the O3 treatment<br />
compared to the control, CO2 and CO2 + O3 treatments ( Table 5). As in the population<br />
survey, alkyl esters composed the largest proportion of leaf epicuticular wax deposit (Fig.<br />
17). However, there was not a significant effect of treatment on alkyl ester amount (Table
5). As a matter of fact, there were no significant effects of treatment or leafminer<br />
presence on any wax constitiuents (Table 5). The leaves with eggs tended to have<br />
smaller amounts of alkyl esters than leaves without eggs (Fig. 18), but this trend was not<br />
significant (Table 5).<br />
Table 5. Results of the analysis of variance on leaf epicuticular wax and its constituents<br />
in leaves of clone 42E used in the leafminer preference experiment (leaves from<br />
test 3 only).<br />
Dependent Sources of Num Den F P-value<br />
Variable Variation df df<br />
Total Wax Treatment 3 5 0.40 0.75<br />
LP 1 2 2.36 0.26<br />
Treatment x LP 3 5 2.45 0.17<br />
Error 68<br />
Alkyl Esters Treatment 3 5 0.17 0.91<br />
LP 1 2 3.51 0.20<br />
Treatment x LP 3 5 2.28 0.19<br />
Error 16<br />
Alkanes Treatment 3 5 0.78 0.55<br />
LP 1 2 0.02 0.91<br />
Treatment x LP 3 5 1.68 0.28<br />
Fatty Acids<br />
Error 16<br />
Treatment 3 5 0.20 0.89<br />
LP 1 2 0.31 0.63<br />
Treatment x LP 3 5 1.67 0.28<br />
Error 16<br />
Primary Alcohols Treatment 3 5 0.35 0.79<br />
LP 1 2 1.42 0.35<br />
Treatment x LP 3 5 1.23 0.39<br />
Error 16<br />
♦Treatment: 1- control, 2-C02, 3-03, 4-CO2+O3; LP: 1 - unmined, 2 - mined<br />
+ LP = Leafminer Presence
a<br />
25<br />
I 20<br />
là<br />
§ 15 -<br />
o<br />
E<br />
<<br />
c§ 10 -<br />
5<br />
0<br />
Treatment<br />
Alkyl Ester<br />
Alkane<br />
Fatty Acid<br />
Primary Alcohol<br />
Figure 17. Effect of greenhouse gas treatments on epicuticular wax composition<br />
of leaves from clone 42E used in the leafminer preference experiment. Bars<br />
of the same color marked by the same letters are not significantly different<br />
from each other at a = 0.05. Capped lines represent halves of standard errors.<br />
25<br />
20 -<br />
a<br />
No Eggs<br />
Eggs<br />
Ester Alkane Fatty Acid Alcohol<br />
Wax Constituent<br />
Figure 18. Mean amounts of wax constituents (alkyl esters, alkanes, fatty acids<br />
and primary alcohols) on leaves (clone 42E used) with and without eggs<br />
from the preference study. Letters pertain separately to each pair of bars<br />
representing the same compound. Pairs of bars marked with the same<br />
letter represent means not significantly different from each other at a =<br />
0.05. Capped lines represent halves of standard errors.
3.2.3 Leaf Morphology<br />
Wax production in the control treatment resulted in crystalline and irregular platelike<br />
structures projecting from the leaf surface (Fig. 19a). In the CO2 treatment,<br />
crystalline projections were prevalent, however amorphous surfaces were also present on<br />
the epicuticular ridges (Fig. 19b). Epicuticular wax appeared to be amorphous, with<br />
dense agglomerations lacking irregular plate-like structures projecting from the leaf<br />
surface (Fig. 19c). Leaves from the combined CO2 and O3 treatment had dense wax<br />
structures on the guard cells around the stomata, however the area surrounding the<br />
stomata was covered by a combination of amorphous and agglomerated wax formation<br />
(Fig. 19d).<br />
lOuitl<br />
a) Crystalline and irregular plate-like structures projecting from epicuticular ridges.
) Crystalline projections and amorphous surfaces present on the epicuticular ridges.<br />
lOum<br />
c) Amorphous, dense agglomerations of wax, without irregular plate-like structures.
d) Combination of amorphous and agglomerated wax formation.<br />
Figure 19. Impacts of elevated CO2 and O3 on abaxial leaf epicuticular wax structure<br />
shown in scanning electron micrographs from aspen clone 42E grown under a)<br />
control, b) elevated CO2, c) elevated O3 and d) elevated CO2 + 0 3. The entire leaf<br />
surface was examined before a representative sample area was selected. Arrows<br />
indicate wax features. “S” indicates location of stomata.<br />
3.2.4 Dependence of Egg Quantity on Leaf Area and Wax<br />
The model for predicting leafminer oviposition was optimized when leaf surface<br />
area (p
Table 6. Best Subsets Regression: Egg quantity versus leaf surface area, total wax<br />
amount, alkanes, fatty acids, primary alcohols and alkyl esters.<br />
Vars R2 R2<br />
(adj)<br />
Mallows<br />
C-p<br />
S<br />
Leaf<br />
Surface<br />
Area<br />
Wax<br />
Amount<br />
Alkanes<br />
Fatty<br />
Acids<br />
Primary<br />
Alcohols<br />
1 65.7 64.3 -1.3 0.25205 X<br />
1 25.2 22.1 23.3 0.37249 X<br />
2 68.1 65.4 -0.7 0.24836 X X<br />
2 66.3 63.4 0.4 0.25534 X X<br />
3 70.2 66.2 -0.0 0.24537 X X X<br />
3 69.4 65.1 0.0 0.24549 X X X<br />
4 72.3 67.1 0.7 0.24212 X X X X<br />
4 71.4 65.9 1.3 0.24630 X X X X<br />
5 73.1 66.3 2.3 0.24481 X X X X X<br />
5 73.0 66.3 2.3 0.24501 X X X X X<br />
6 74.1 65.9 3.7 0.24625 X X X X X X<br />
Alkyl<br />
Esters<br />
Each model appears on a different line in the output. “Vars” is the number of<br />
predictor variables used in the model. The R-sq (R2), Adj. R-sq (Adj. R2), C-p and S are<br />
then displayed. The list of possible predictors appears next. If the predictor is included<br />
in that particular model, then an 'X' is placed under the column header for that variable.<br />
For example, the first line tells us that the first model included in the output has a R-sq of<br />
65.7%, an adjusted R-sq of 64.3%, a C-p of-1.3 and s is 0.25205. The only predictor<br />
included in this model is leaf surface area.<br />
Best subset regression analysis determined that the 5th model was optimal. The<br />
results of this model were: R-sq of 70.2%, an adjusted R-sq of 66.2%, a C-p of 0.0 and S<br />
is 0.24537.
In the FACE Ring population survey, aspen blotch leafminer exhibited no<br />
preference for any treatment. Egg density was lowest on O3 leaves but did not differ<br />
significantly from leaves in the other treatments. The preference for leaves in control<br />
treatments may be attributable to specific host-plant characteristics.<br />
These data do not support previous investigations which determined leafminer<br />
egg densities at the FACE site were significantly larger in the control treatment compared<br />
to the CO2 ,0 3 and CO2 + O3 treatments (Kopper and Lindroth, 2003). A distinct<br />
difference between Kopper and Lindroth (2003) and this study at FACE was the overall<br />
leafminer population density. The former data were collected in 1999, when aspen blotch<br />
leafminer populations were more than double 2004 FACE leafminer egg density. Mean<br />
egg density was 0.25 eggs per leaf in 1999 (Kopper and Lindroth, 2003) and 0.12 eggs<br />
per leaf in 2004.<br />
Additionally, in this study, there were significant effects of block and<br />
block/treatment interaction. These effects have not been reported in other publications<br />
from research conducted at the FACE site (eg. Percy et al., 2002; Kamosky et al., 1999;<br />
Kopper and Lindroth, 2003). However, there were no effects of block or block/treatment<br />
interaction in the wax population survey analysis. It is important to point out that egg<br />
density in blocks 1 and 3 responded similarly to the treatment effects and that these two<br />
blocks contained the greatest densities of eggs compared to block 2. In fact, there<br />
appeared to be no effect of treatment on egg density in block 2. As a result, the lack of<br />
treatment effect in block 2, potentially due to lower egg densities, should be considered
as an explanation of not only the block effect but, the influence of treatment in the<br />
present and 1999 investigation.<br />
In the preference study, there was no significant effect of treatment. However,<br />
there did appear to be a trend similar to the population survey in that the control treated<br />
leaves tended to have higher densities of eggs than the O3 treated leaves. In fact, this<br />
trend was significant in the fourth and last test. This study was replicated four times<br />
during a 20-day period. Egg density was significantly greater in the control compared to<br />
the O3 treatment in the fourth test. Although there was subtle variation in the results, egg<br />
quantity on O3 treated leaves were smallest in each replicate. This variation may be due<br />
to the time difference when the replicates took place. Leaves in the last tests were<br />
exposed to O3 for a longer duration, and therefore any deterring qualities of the leaf may<br />
have been augmented by longer exposure to O3. Furthermore, moth age may have been a<br />
factor. Moths used in replicate one emerged earlier from overwintering sites than those<br />
used in replicate four and were therefore younger and potentially carrying more eggs than<br />
moths in replicate four.<br />
The population survey results suggest that O3 treated leaves may have been least<br />
preferred due to phenology of the aspen blotch leafminer. The initiation of aspen blotch<br />
leafminer moth oviposition takes place shortly after P. tremuloides bud burst, when<br />
leaves have flushed (Martin, 1956). O3 delays aspen bud break (Kamosky et al., 1999;<br />
Kamosky et al., 2005). Therefore, while control and CO2 treatments had leaves available<br />
for oviposition, leaves from O3 treatments may not have reached the development stage<br />
corresponding with the timing of leafminer oviposition site selection. However, the<br />
preference study offers evidence that oviposition cues for the aspen blotch leafminer are
plant-based despite the lack of significant results in all but one of the preference tests,<br />
trends indicate that control leaves had higher egg densities and O3 leaves lower densities.<br />
The effects on oviposition are apparently due to O3 and CO2 mediated changes in plant<br />
chemistry and not due to the direct effects of 0 3 and CO2 on the leafminer. This<br />
conclusion is based on the similar trends in the manipulated preference and the<br />
population studies.<br />
Plant epicuticular waxes are typically composed of at least four major chemical<br />
classes of aliphatic compounds; 1) alkyl esters, 2) alkanes, 3) primary alcohols, and 4)<br />
fatty acids (Baker, 1982). GC analysis and MS confirmation confirmed 99% of wax<br />
chemical composition. In both population and preference samples, the epicuticular<br />
waxes of trembling aspen were approximately 50% alkyl esters. Alkanes (24%), fatty<br />
acids (20%) and primary alcohols (5%) composed the remaining total wax amount.<br />
In the population survey, epicuticular wax was significantly affected by CO2, O3<br />
and CO2 + O3 treatments, clones and leafminer presence. Total wax amount was largest in<br />
the O3 treatment. Total wax amount from the O3 sensitive clone 259 was largest<br />
compared to clones 271 and 216 when averaged across all treatments. The effects of<br />
treatment and clone are supported by the findings of others (Kamosky et al., 2002).<br />
Leaves from the O3 treatment produced significantly larger amounts of alkyl esters. The<br />
effect of clone on wax amount may explain some of the variation in these results. Alkyl<br />
esters, which composed the largest proportion of total wax amount, were significantly<br />
larger on leaves from clone 259. Additionally, the interaction between clone and
treatment had a significant effect on alkyl ester amount. The effects of O3 result in an<br />
increased production of alkyl esters on clone 259.<br />
The interaction between clone and treatment was also significant (p=0.03) for<br />
fatty acids. In contrast to alkyl esters, production of fatty acids decreased in the 0 3 -<br />
sensitive clones 216 and 259. This interaction of the tolerant clone 271 and treatment,<br />
suggests that clone 271 may not be predisposed to decreases in fatty acid amount under<br />
elevated levels of O3.<br />
It has been proposed that aspen blotch leafminers least prefer clone 271 leaves<br />
(Kopper and Lindroth, 2003). Wax class amounts, other than alkyl esters and primary<br />
alcohol, were higher from 0 3 -tolerant clone 271. This suggests that greater alkane and<br />
fatty acid amounts would have a negative effect on leafminer oviposition preference<br />
while alkyl esters and primary alcohols would have a positive effect. In fact, mined<br />
leaves had significantly lesser amounts of fatty acids than leaves without eggs.<br />
In the preference study, wax trends corresponded with those from the population<br />
survey (clone 42E), despite the lack of significant effects. Wax production tended to<br />
increase in the O3 treated leaves, which supports Percy et al. (2002). Neither treatment<br />
nor leafminer presence significantly affected wax and its constituents. However, leaves<br />
selected for oviposition that were treated with O3 singly and in combination with CO2<br />
tended to have larger amounts of total wax amount than leaves without eggs.<br />
It is difficult to speculate based on non-significant results, however, leaves upon<br />
which eggs were laid either possessed stimulating oviposition cues or leaves without eggs<br />
possessed deterrent oviposition cues. Leaves without eggs in the O3 treatment had total
wax amounts similar to those in the other treatments (eg. control), which were preferred.<br />
Therefore, total wax amount may not be a critical cue affecting egg lay.<br />
Alkyl ester amounts tended to be larger on leaves with eggs. This suggests that<br />
alkyl esters stimulated oviposition. Although, there was not a significant effect of<br />
leafminer presence on alkyl esters in the population survey, it may suggest that alkyl<br />
esters had a role this plant-insect interaction.<br />
Air pollutants, such as CO2 and/or O3, alter epicuticular wax composition through<br />
direct modification of wax biosynthesis (Percy et al., 1994). Wax chemical composition<br />
influences the formation of epicuticular waxes on plant surfaces (Baker, 1982; Jeffree,<br />
1994). Alkanes and primary alcohols produce plate-like structures while alkyl esters and<br />
fatty acids form an amorphous wax surface.<br />
Here, leaves from the control have morphologically distinct crystalline wax<br />
structure. Amorphous surface features, characterized by agglomeration of waxes on<br />
leaves in the CO2 ,0 3 and CO2 + O3 treatments were prominent, which is supported by<br />
others (Kamosky et al., 1999; Kamosky et al., 2002). The formation of this amorphous<br />
surface was directly influenced by the increase in total wax production in those<br />
treatments. Moreover, it has been shown that morphological leaf characteristics are at<br />
least as important as chemical characteristics as oviposition signals (Eigenbrode and<br />
Espelie, 1995). Therefore, it is suggested that reduced crystalline wax structure<br />
correlates with reductions in aspen blotch leafminer egg density.<br />
Epicuticular waxes are considered crucial to oviposition site selection<br />
(Eigenbrode and Espelie, 1995). Leaf epicuticular waxes influence insect movement<br />
(Eigenbrode et al., 1991; Powell et al., 1999), feeding (Adati and Matsuda, 2000) and
oviposition (Cervantes et al., 2002; Ulmer et al., 2002; Kanno and Harris, 2000;<br />
Steinbauer et al., 2004; Muller and Hilker, 2001). Insect oviposition site selection could<br />
be either stimulated (Steinbauer et al., 2004) or deterred (Hagley et al., 1980, Uematsu<br />
and Sakanoshita, 1989, Justus et al., 2000) on plants with large amounts of wax.<br />
The regression analysis showed that increasing wax amount had a negative effect<br />
on egg density. Kamosky et al. (2002) suggested this increased production of<br />
epicuticular waxes may be “.. .an O3 - mediated stimulation of de novo synthesis, which<br />
maybe a protective adaptation..<br />
This implication is supported by the reduction in<br />
leafminer preference for O3 treated leaves. Therefore, we would expect to observe wax<br />
amounts to be smaller from leaves without eggs or mines. However, total wax amount<br />
was larger from leaves with eggs or mines from both population and preference studies.<br />
This suggests the effects of epicuticular wax on the plant-insect interaction are complex<br />
and not well explained by the total amount of wax amount.<br />
One explanation may be that oviposition on O3 treated leaves was due to the<br />
moths maximizing stimulating cues of the leaf epicuticular waxes. These cues are<br />
specific wax classes, that this study suggests leafminers prefer, such as alkyl ester and<br />
primary alcohol, which are increased due to exposure to O3. However, at the population<br />
level, these stimulants are not strong enough to overcome the combined ovipositiondeterring<br />
characteristics of increased total wax amount, decreased leaf surface area and<br />
amorphous leaf surface morphology. In other words, the leafminers that choose O3<br />
treated leaves may make the best of a bad situation.<br />
The results from this study suggest the factors influencing aspen blotch leafminer<br />
oviposition site selection are, at least in part, isolated around leaf surface characteristics,
namely: surface area, epicuticular wax morphology and chemical composition. Of these<br />
characteristics, two factors, surface area and wax chemical composition, could be<br />
modeled on data collected. Modeling determined that leaf surface area, total wax amount<br />
and alkane proportions are strong predictors of egg density. Others have determined<br />
specific chemical wax compounds that affect oviposition (Udayagiri and Mason, 1997,<br />
Muller and Hilker, 2001, Steinbauer et al., 2004, Shepard et al., 1999). Fatty acids have<br />
been shown to positively influence oviposition in some beetles (Parr et al., 1998) and<br />
aphids (Eigenbrode, 1996). Also, alkanes are suggested to stimulate oviposition<br />
(Eigenbrode and Espelie, 1995). Fatty acids and alkanes are both considered to stimulate<br />
host recognition, however based on evidence from this study, we suggest the opposite is<br />
true for aspen blotch leafminer.<br />
These chemical characteristics of epicuticular wax are known to be indicators of<br />
plant quality (Baker, 1982). Plant quality changes (eg. phenolic glycoside, carbonnitrogen<br />
ratio, tannins, starch) when exposed to CO2 and O3 (Kamosky et al., 2003; Percy<br />
et al., 2002) therefore it is likely that moths detect these differences in leaf quality<br />
resulting from epicuticular wax chemical alterations.<br />
A higher number of eggs were observed on leaves with larger surface areas. Leaf<br />
surface area had a significant influence on leafminer egg density, however it is difficult to<br />
separate its effect from those of other factors that are critical to oviposition site selection.<br />
It has been shown that leaf surface area is largest in CO2 treated leaves (Kamosky et al.,<br />
2003). Since leafminers did not prefer CO2 treated leaves, leaf surface area cannot be the<br />
single factor influencing leafminer oviposition preference.
Other studies have shown that larger surfaces areas have a lower amount of<br />
epicuticular wax per unit area (Hagley et al., 1980). Regression analysis also determined<br />
leafminers preferred leaves with lower wax amounts. Leaftniner density results, which<br />
were not statistically significant, exhibited a trend in the population and preference<br />
studies that leaves exposed to CO2 singly or in combination with O3 tended to be<br />
preferred over leaves exposed singly to O3. This suggests that the implications of leaf<br />
surface area on leaftniner oviposition site selection are not fully understood.<br />
This was the first investigation using bioassays to examine if microlepidoptera<br />
exhibit a preference for leaves exposed to elevated levels of CO2 and O3, both singly and<br />
in combination. As a result, there are many suggestions for improved methods to<br />
determine proximate cues for leaftniner oviposition.<br />
Future investigations would involve choice bioassays testing the direct effects of<br />
leaf epicuticular wax. Two experiments are suggested: 1) offer adult gravid female<br />
moths choices between leaves with and without wax. Crystalline waxes can be removed<br />
using cellulose acetate, which does not damage the plant tissue (Baker et al., 1983; Percy<br />
and Baker, 1988). Obtaining images from scanning electron microscopy and comparing<br />
the different treatments would be used in both tests to illustrate the surface morphological<br />
differences of leaves with and without waxes intact; 2) apply waxes to artificial substrate<br />
(eg. glass) from four different treatments. The results of this experiment would<br />
determine the specific effect of epicuticular waxes on aspen blotch leaftniner host-plant<br />
oviposition site selection while minimizing biological influences. Furthermore, specific
chemical compounds could be isolated, both singly and in combination that directly<br />
influence leafminer oviposition site selection.<br />
To further test the effect of leaf surface area on leafminer preference, female<br />
moths could be given a choice of a variation of leaf sizes and ages. Others have shown<br />
that leaf age affects insect behavior (Steinbauer et al., 2004). Generally, the amount of<br />
wax decreases as leaves become older. As amount and composition of epicuticular wax<br />
changes throughout leaf development, leaves of different development stages could be<br />
selected and tested for preference. To this end, as older leaves in this experiment were<br />
used in the fourth test of the preference experiment, and this was the only test in which<br />
leafminer preference was exhibited, then analysis of the wax samples from that test may<br />
have proven useful.<br />
An additional suggestion for future investigations would be to standardize the<br />
status of the number of eggs adult female moths possessed as in Hora and Roessingh<br />
(1999). The moths used in the preference study were selected randomly from pure aspen<br />
stands within a 10km radius of the population survey site. As a result, the complement of<br />
eggs females possessed was unknown. The number of eggs a female moth has often<br />
influences the selectiveness of oviposition site (Singer, 1982). This can be addressed by<br />
standardizing the complement of adult female moth eggs. Rearing female and male<br />
moths together from pupae achieves this, as there is a higher probability females will be<br />
gravid because they are provided the opportunity to copulate and they have not been<br />
exposed to oviposition substrate. Adult female aspen blotch leafminer moths have a<br />
complement of approximately 45 eggs to lay (Auerbach, 1992). In this study, the range<br />
of eggs laid was from 0 to 51, with an average of 10 eggs/female.
It could also be interesting to test the effect of clones on oviposition preference<br />
because clones of varying sensitivity to O3 had significant effects on epicuticular wax.<br />
Therefore, in order to elucidate characteristics, which have a marked influence on<br />
leafminer oviposition, clones (from the same treatment) should be tested in a choice<br />
bioassay.<br />
Eggs were located on the margins of leaves, which supported what others have<br />
reported (Martin, 1956; Auerbach, 1991). It would be useful to analyze waxes from leaf<br />
margins to determine if there are differences in their composition or morphology. Any<br />
differences in wax chemical composition and morphology on leaf margins may be further<br />
linked to oviposition.<br />
Quantifying epicuticular wax crystalline density from different treatments and<br />
clones would be another parameter that could be incorporated into models, which predict<br />
aspen blotch leafminer preference. Systematically measuring epicuticular wax density<br />
could be done with SEM modifications (eg. Cervantes et al., 2002).<br />
The main objective of this research was to link the changes in aspen leaf<br />
epicuticular wax chemical composition and morphology, due to exposure to elevated<br />
levels of CO2 and/or O3, with aspen blotch leafminer oviposition site selection. This was<br />
the first study to offer evidence, using population and bioassay studies, that aspen blotch<br />
leafminer moths assess the suitability of oviposition sites using epicuticular wax cues.<br />
Regression analysis using parameters of wax composition and leaf surface area to<br />
predict egg density, along with wax morphological interpretation, suggest that specific<br />
wax components are involved in plant/insect interactions. These data suggest that
amorphous epicuticular wax morphology, increased total wax amount and alkane amount<br />
had negative effects on leafininer oviposition, however they were not the only factor<br />
affecting leafininer oviposition. Rather, this behavior appears to involve a suite of cues,<br />
including leaf surface areas.<br />
Future investigations could reveal other factors which are involved in aspen<br />
blotch leafininer oviposition site selection. Nevertheless, the results of this study strongly<br />
suggest that epicuticular waxes influence aspen blotch leafininer oviposition. In addition,<br />
these results have improved the understanding of the role of epicuticular waxes in aspen<br />
blotch leafininer oviposition site selection.<br />
Further investigation is recommended on the general effects of leaf surface<br />
epicuticular waxes on aspen blotch leafininer oviposition site selection. These methods<br />
should be incorporated with further leafininer bioassays and leaf physiological responses<br />
to CO2 and/or O3. As a result, our knowledge of epicuticular waxes with respect to<br />
leafininer oviposition and elevated levels of greenhouse gases will be further improved.
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APPENDIX A
200om<br />
Figure 1. Scanning electron micrograph of Phyllonorycter apparella Herrich-Schaffer<br />
egg on abaxial surface of Populus tremuloides Michx.
CURRICULUM VITAE<br />
Candidate's full name: Robert Frank Partridge<br />
Universities attended: University of New Brunswick, 2002, Bachelor of Science in<br />
Forestry<br />
Publications: none<br />
Conference Presentations: University of New Brunswick Graduate Student Association<br />
Conference, February 2005