microlepidoptera). These trees were analyzed for their comple- ment of phylogenetic diversity (PD) as measured in Conserve IV (v1.4.0b2) [71,72] for each year for each collection site. The food web was visualized pre- and post-barcoding using the program FoodWeb3D [73]. Supporting Information Figure S1 All specimen Neighbour-Joining tree from BOLD with Sample ID, Host, and BIN number. Specimens identification remains as in Eveleigh et al [9] to emphasize the positive effect that barcoding can have on identifying clerical errors, misidentifica- tions, problematic taxonomy and contamination. As corrections are made - these will be reflected in BOLD and GenBank. Found at: doi:10.1371/journal.pone.0014424.s001 (PDF) Table S1 All specimen information (collection locality, date, host information), BOLD and GenBank accessions for all specimens and all genetic markers. Found at: doi:10.1371/journal.pone.0014424.s002 (XLS) Table S2 Those presumed to be polyphagous species that became specialists after barcoding. Found at: doi:10.1371/journal.pone.0014424.s003 (XLS) Table S3 CO1 MOTU groups and their degree of support from corroborative markers (28S-D2, ITS2). References 1. Royama T (1992) Analytical Population Dynamics. Population and Community Biology U.K Chapman & Hall. 372 p. 2. Canada H (2005) Principles of Spruce Budworm Integrated Pest Management (IPM). wwwpmra-arlagcca/english/pdf/spm/ipmsprucebudworm-epdf ISBN: 0-662-36361-2. 3. Canada NR (2009) State of Canada’s Forests: Annual Report 2009. http:// dsp-psdpwgscgcca/collection_2009/nrcan/Fo1-6-2009Epdf.. 4. MacLean DA, Erdle TA, MacKinnon WE, Porter KB, Beaton KP, et al. (2001) The Spruce Budworm Decision Support System: forest protection planning to sustain long-term wood supply. Canadian Journal of Forestry Research 31: 1742–1757. 5. 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