Precipitation, not CO2 enrichment, drives insect herbivore frass deposition and subsequent nutrient dynamics in a mature Eucalyptus woodland
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Background and aims
Herbivorous insects are important nutrient cyclers that produce nutrient-rich frass. The impact of elevated atmospheric [CO2] on insect-mediated nutrient cycling, and its potential interaction with precipitation and temperature, is poorly understood and rarely quantified. We tested these climatic effects on frass deposition in a nutrient-limited mature woodland.
Frass deposition by leaf-chewing insects and its chemical composition was quantified monthly over the first 2 years at the Eucalyptus free-air CO2 enrichment experiment and contrasted with leaf nitrogen concentration, rainfall and temperature.
Leaf-chewing insects produced yearly between 160 and 270 kg ha−1 of frass depositing 2 to 4 kg ha−1 of nitrogen. Frass quantity and quality were influenced by rainfall and average maximum temperatures. In contrast, elevated CO2 did not impact nitrogen concentrations in fully expanded leaves and frass deposition to the woodland floor.
Two years of elevated CO2 did not alter nutrient transfer by leaf-chewing insects. This may be due to the low nutrient status of this ecosystem, duration of CO2 fumigation or climatic conditions. However, rainfall co-occurring with seasonally higher temperatures exerted strong effects on nutrient cycling, potentially through shifts in leaf phenology with consequences for insect population dynamics and insect-mediated nutrient transfer.
KeywordsClimate change Eucalypt EucFACE Nutrient cycling Insects
We thank Goran Lopaticki, David Ellsworth and Jeff Powell for their help in emptying baskets. We also thank Jeff Powell, David Ellsworth, Jeffrey Walck and three reviewers for comments. EucFACE is supported by the Australian Commonwealth Government in collaboration with Western Sydney University. EucFACE was built as an initiative of the Australian Government as part of the Nation-building Economic Stimulus Package. Furthermore, this research was supported by an Australian Postgraduate Award to A.N.G. and Australian Research Council Discovery Projects granted to M.R. (DP1095972) and David Ellsworth (DP110105102).
- Barton K (2015) MuMIn: multi-model inference. R package version 1.15.1.Google Scholar
- Couture JJ, Meehan TD, Kruger EL, Lindroth RL (2015) Insect herbivory alters impact of atmospheric change on northern temperate forests. Nat Plants 1:150–160Google Scholar
- Development Core Team R (2015) R: a language and environment for statistical computing. R Foundation for Statistical Computing, ViennaGoogle Scholar
- Dickson RE, Lewin KF, Isebrands JG, Coleman MD, Heilman WE, Riemenschneider DE, Sober J, Host GE, Zak DR, Hendrey GR (2000) Forest atmosphere carbon transfer and storage (FACTS-II) the aspen Free-air CO2 and O3 Enrichment (FACE) project: an overview. US Department of Agriculture, St PaulGoogle Scholar
- Heatwole H, Lowman MD, Donovan C, McCoy M (1997) Phenology of leaf-flushing and macroarthropod abundances in canopies of Eucalyptus saplings. Selbyana 18:200–214Google Scholar
- Nahrung HF, Duffy MP, Lawson SA, Clarke AR (2008) Natural enemies of Paropsis atomaria Olivier (Coleoptera: Chrysomelidae) in south-eastern Queensland eucalypt plantations. Aust J Ecol 47:188–194Google Scholar
- Pinheiro J, Bates D, DebRoy S, Sarkar D (2015) nlme: linear and nonlinear mixed effects models. R Package Version 3.1-122.Google Scholar
- Reynolds BC, Hunter MD, Crossley DA Jr (2000) Effects of canopy herbivory on nutrient cycling in a northern hardwood forest in western North Carolina. Selbyana 21:74–78Google Scholar
- Ryan GD, Rasmussen S, Newman JA (2010) Global atmospheric change and trophic interactions: are there any general responses? In: Baluska F, Ninkovic V (eds) Plant Communication from an Ecological Perspective. Springer, BerlinGoogle Scholar
- Schowalter TD (2000) Insect ecology: an ecosystem approach. Academic, San DiegoGoogle Scholar
- Tozer M (2003) The native vegetation of the Cumberland plain, western Sydney: systematic classification and field identification of communities. Cunninghamia 8:1–75Google Scholar