The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Tree mortality in the eastern and central United States: patterns and drivers
Abstract
Substantial uncertainty surrounds how forest ecosystems will respond to the simultaneous impacts of multiple global change drivers. Long-term forest dynamics are sensitive to changes in tree mortality rates; however, we lack an understanding of the relative importance of the factors that affect tree mortality across different spatial and temporal scales. We used the US Forest Service Forest Inventory and Analysis database to evaluate the drivers of tree mortality for eastern temperate forest at the individual-level across spatial scales from tree to landscape to region. We investigated 13 covariates in four categories: climate, air pollutants, topography, and stand characteristics. Overall, we found that tree mortality was most sensitive to stand characteristics and air pollutants. Different functional groups also varied considerably in their sensitivity to environmental drivers. This research highlights the importance of considering the interactions among multiple global change agents in shaping forest ecosystems.
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The worldwide leaf economics spectrum
Wright, I. J., Reich, P. B., Westoby, M., Ackerly, D. D., Baruch, Z., Bongers, F., Cavender-Bares, J., Chapin, T., Cornelissen, J. H. C., Diemer, M., et al. (2004) · Nature · doi:10.1038/nature02403 · Cited by 9,021
Allen, C. D., Macalady, A. K., Chenchouni, H., Bachelet, D., McDowell, N., Vennetier, M., Kitzberger, T., Rigling, A., Breshears, D. D., Hogg, E. H. (., et al. (2010) · Forest Ecology and Management · doi:10.1016/j.foreco.2009.09.001 · Cited by 7,763
BEVEN, K. J., & KIRKBY, M. J. (1979) · Hydrological Sciences Bulletin · doi:10.1080/02626667909491834 · Cited by 6,670
Nitrogen cycles: Past, present, and future
Galloway, J. N., Dentener, F. J., Capone, D. G., Boyer, E. W., Howarth, R. W., Seitzinger, S. P., Asner, G. P., Cleveland, C. C., Green, P. A., Holland, E. A., et al. (2004) · Biogeochemistry · doi:10.1007/s10533-004-0370-0 · Cited by 5,315
Widespread increase of tree mortality rates in the western United States
van Mantgem, P. J., Stephenson, N. L., Byrne, J. C., Daniels, L. D., Franklin, J. F., Fulé, P. Z., Harmon, M. E., Larson, A. J., Smith, J. M., Taylor, A. H., et al. (2009) · Science · doi:10.1126/science.1165000 · Cited by 1,799
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Self-citationClark, J. S., Iverson, L., Woodall, C. W., Allen, C. D., Bell, D. M., Bragg, D. C., D'Amato, A. W., Davis, F. W., Hersh, M. H., Ibanez, I., et al. (2016) · Global Change Biology · doi:10.1111/gcb.13160 · Cited by 606
Long-term climate and competition explain forest mortality patterns under extreme drought
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McDowell, N. G., Fisher, R. A., Xu, C., Domec, J. C., Hölttä, T., Mackay, D. S., Sperry, J. S., Boutz, A., Dickman, L., Gehres, N., et al. (2013) · New Phytologist · doi:10.1111/nph.12465 · Cited by 420
Metadata
- Authors
- Dietze, M. C., & Moorcroft, P. R.
- Venue
- Global Change Biology
- Publisher
- Wiley
- Published
- 2011-07-15
- Volume
- 17
- Issue
- 11
- Pages
- 3312-3326
- ISSN
- 1354-1013 (ISSN-L)
- OpenAlex
- W2140657790
- Cited by
- 198
- References
- 5
- FWCI
- 10.36
- Type
- journal article
- Language
- en
- Open access
- closed
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- Dietze, M. C., & Moorcroft, P. R. (2011). Tree mortality in the eastern and central United States: patterns and drivers. Global Change Biology. https://doi.org/10.1111/j.1365-2486.2011.02477.x
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
