The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Changes in fire regime break the legacy lock on successional trajectories in Alaskan boreal forest
Abstract
Predicting plant community responses to changing environmental conditions is a key element of forecasting and mitigating the effects of global change. Disturbance can play an important role in these dynamics, by initiating cycles of secondary succession and generating opportunities for communities of long‐lived organisms to reorganize in alternative configurations. This study used landscape‐scale variations in environmental conditions, stand structure, and disturbance from an extreme fire year in Alaska to examine how these factors affected successional trajectories in boreal forests dominated by black spruce. Because fire intervals in interior Alaska are typically too short to allow relay succession, the initial cohorts of seedlings that recruit after fire largely determine future canopy composition. Consequently, in a dynamically stable landscape, postfire tree seedling composition should resemble that of the prefire forest stands, with little net change in tree composition after fire. Seedling recruitment data from 90 burned stands indicated that postfire establishment of black spruce was strongly linked to environmental conditions and was highest at sites that were moist and had high densities of prefire spruce. Although deciduous broadleaf trees were absent from most prefire stands, deciduous trees recruited from seed at many sites and were most abundant at sites where the fires burned severely, consuming much of the surface organic layer. Comparison of pre‐ and postfire tree composition in the burned stands indicated that the expected trajectory of black spruce self‐replacement was typical only at moist sites that burned with low fire severity. At severely burned sites, deciduous trees dominated the postfire tree seedling community, suggesting these sites will follow alternative, deciduous‐dominated trajectories of succession. Increases in the severity of boreal fires with climate warming may catalyze shifts to an increasingly deciduous‐dominated landscape, substantially altering landscape dynamics and ecosystem services in this part of the boreal forest.
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Cites
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Turetsky, M. R., Benscoter, B., Page, S., Rein, G., van der Werf, G. R., & Watts, A. (2015) · Nature Geoscience · doi:10.1038/ngeo2325 · Cited by 866
Fire as a fundamental ecological process: Research advances and frontiers
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“…and depth of heat transfer, fire can alter soil in ways that influence vegetation recovery (Brando, Oliveria-Santos, Rocha, Cury, & Coe, 2016; Johnstone, Hollingsworth, Chapin, & Mack, 2010), the structure of invertebrate and microbial communities (Hewitt et al., 2016) and availability of…”
Continued warming could transform Greater Yellowstone fire regimes by mid-21st century
Westerling, A. L., Turner, M. G., Smithwick, E. A. H., Romme, W. H., & Ryan, M. G. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1110199108 · Cited by 629
Anticipating the consequences of climate change for Canada’s boreal forest ecosystems
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Recent acceleration of biomass burning and carbon losses in Alaskan forests and peatlands
Turetsky, M. R., Kane, E. S., Harden, J. W., Ottmar, R. D., Manies, K. L., Hoy, E., & Kasischke, E. S. (2011) · Nature Geoscience · doi:10.1038/ngeo1027 · Cited by 498
Metadata
- Authors
- JOHNSTONE, J. F., HOLLINGSWORTH, T. N., CHAPIN, F. S., & MACK, M. C.
- Venue
- Global Change Biology
- Publisher
- Wiley
- Published
- 2010-02-22
- Volume
- 16
- Issue
- 4
- Pages
- 1281-1295
- ISSN
- 1354-1013 (ISSN-L)
- 1365-2486
- OpenAlex
- W2089955105
- Cited by
- 599
- References
- 73
- FWCI
- 17.68
- Type
- journal article
- Language
- en
- Open access
- closed
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- JOHNSTONE, J. F., HOLLINGSWORTH, T. N., CHAPIN, F. S., & MACK, M. C. (2010). Changes in fire regime break the legacy lock on successional trajectories in Alaskan boreal forest. Global Change Biology. https://doi.org/10.1111/j.1365-2486.2009.02051.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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