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Dryad

Data from: The mountain pine beetle in a marginal boreal landscape: Cross-scale collapse triggered by population removal

Data files

May 20, 2026 version files 2.33 GB

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Abstract

Mountain pine beetle (MPB) outbreaks exhibit nonlinear dynamics and are driven by positive density-dependent feedbacks that link fast behavioural processes to slow, landscape-level environmental change. Intrinsic density-dependent factors include beetle pressure measured at the attack site on the stem, attacks up the height of the stem, and the density of attacked trees in the surrounding cluster. Extrinsic environmental drivers operating at the landscape scale include winter temperatures, drought, pine volumes, and pine ancestry. Although this feedback loop typically fuels rapid irruption, it can be reversed through sustained population removal, and we demonstrate such outbreak collapse in Alberta's commercial pine forests in Alberta (2006–2023). Although millions of trees were freshly attacked between 2009–2012, the outbreak did not expand because the removal of those freshly infested trees disrupted the positive feedback linking brood production to landscape-level spread. Cold winters in 2018–2020 contributed to the final collapse, but the decisive factor was the earlier disruption of density-dependent feedback through green-tree removal, which limited population growth and tree mortality from 2010–2017 and prevented any rebound after 2020.

These datasets provides the quantitative evidence for the reversal of the mountain pine beetle (MPB) outbreak in Alberta’s commercial pine stands from 2006–2023:

  • Microsoft Access database tables each year (2006–2023), providing spatial records of fine‑scale, field‑derived estimates of beetle pressure and stand attributes, used to evaluate seasonal recruitment (r) and inter‑annual expansion (R) dynamics;
  • Raster and vector layers of overstory and understory lodgepole pine volume (m³/ha) derived from the most recent Mountain Pine Beetle Risk Assessment (Bleiker 2019);
  • Estimated proportion lodgepole‑jack pine hybrid introgression (Q) from Cullingham et al. (2012);
  • Stand Susceptibility Index (Shore & Safranyik, 1992) spatial polygon layers (2008, 2016, and 2023);
  • Annual summary of aerial and ground‑based red‑tree surveys and control efforts (2006–2022).