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Data from: Current and projected cumulative impacts of fire, drought and insects on timber volumes across Canada
- 负责人:
- DOI:
- doi:10.5061/dryad.2qh132f
- 摘要:
- on forest. This study aims at projecting future cumulative effects of four main natural disturbances – fire, mountain pine beetle, spruce budworm and drought
Data from: Wildfire provides refuge from local extinction but is an unlikely driver of outbreaks by mountain pine beetle
- 负责人:
- DOI:
- doi:10.5061/dryad.vk7sr8tr
- 摘要:
- whether fire injury increased susceptibility of lodgepole pines (Pinus contorta) to mountain pine beetle (Dendroctonus ponderosae Hopkins
Data from: Multi-temporal analysis reveals that predictors of mountain pine beetle infestation change during outbreak cycles
- 负责人:
- DOI:
- doi:10.5061/dryad.t788c
- 摘要:
- Over the past two decades, severe mountain pine beetle (MPB) outbreaks have affected several million hectares of forest in western North America
Data from: Polygamy and an absence of fine-scale structure in Dendroctonus ponderosae (Hopk.) (Coleoptera: Curcilionidae) confirmed usi
- 负责人:
- DOI:
- doi:10.5061/dryad.kb418
- 摘要:
- h as Dendroctonus ponderosae (mountain pine beetle). Here we used genome-wide single-nucleotide polymorphisms to assess the fine-scale genetic structure and mating system
Data from: Reproductive isolation and environmental adaptation shape the phylogeography of mountain pine beetle (Dendroctonus ponderosae)
- 负责人:
- DOI:
- doi:10.5061/dryad.vf8sm
- 摘要:
- Chromosomal rearrangement can be an important mechanism driving population differentiation and incipient speciation. In the mountain pine beetle (MPB
Data from: Consequences of climate change for biotic disturbances in North American forests
- 负责人:
- DOI:
- doi:10.5061/dryad.cq1r1
- 摘要:
- by recent epidemics of spruce beetles in Alaska, mountain pine beetle in high-elevation five-needle pine forests of the Rocky Mountains
Data from: Quantifying ecological and social drivers of ecological surprise
- 负责人:
- DOI:
- doi:10.5061/dryad.2c8f32s
- 摘要:
- , connectivity), management variables (e.g. quotas, restrictions, monitoring), resource use behaviours (e.g. harvesting), and the resource unit (e.g. trees, fish