The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Density‐dependent vulnerability of forest ecosystems to drought
Open accessAbstract
Summary: Climate models predict increasing drought intensity and frequency for many regions, which may have negative consequences for tree recruitment, growth and mortality, as well as forest ecosystem services. Furthermore, practical strategies for minimizing vulnerability to drought are limited. Tree population density, a metric of tree abundance in a given area, is a primary driver of competitive intensity among trees, which influences tree growth and mortality. Manipulating tree population density may be a mechanism for moderating drought‐induced stress and growth reductions, although the relationship between tree population density and tree drought vulnerability remains poorly quantified, especially across climatic gradients. In this study, we examined three long‐term forest ecosystem experiments in two widely distributed North American pine species, ponderosa pine P inus ponderosa (Lawson & C. Lawson) and red pine P inus resinosa (Aiton), to better elucidate the relationship between tree population density, growth and drought. These experiments span a broad latitude and aridity range and include tree population density treatments that have been purposefully maintained for several decades. We investigated how tree population density influenced resistance (growth during drought) and resilience (growth after drought compared to pre‐drought growth) of stand‐level growth during and after documented drought events. Our results show that relative tree population density was negatively related to drought resistance and resilience, indicating that trees growing at lower densities were less vulnerable to drought. This result was apparent in all three forest ecosystems, and was consistent across species, stand age and drought intensity. Synthesis and applications. Our results highlighted that managing pine forest ecosystems at low tree population density represents a promising adaptive strategy for reducing the adverse impacts of drought on forest growth in coming decades. Nonetheless, the broader applicability of our findings to other types of forest ecosystems merits additional investigation.
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R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
Vicente-Serrano, S. M., Beguería, S., & López-Moreno, J. I. (2010) · Journal of Climate · doi:10.1175/2009jcli2909.1 · Cited by 9,493
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
Catastrophic shifts in ecosystems
Scheffer, M., Carpenter, S., Foley, J. A., Folke, C., & Walker, B. (2001) · Nature · doi:10.1038/35098000 · Cited by 7,510
(1983) · UA Campus Repository (The University of Arizona) · Cited by 4,873
Increasing drought under global warming in observations and models
Dai, A. (2013) · Nature Climate Change · doi:10.1038/nclimate1633 · Cited by 4,762
McDowell, N., Pockman, W. T., Allen, C. D., Breshears, D. D., Cobb, N., Kolb, T., Plaut, J., Sperry, J., West, A., Williams, D. G., et al. (2008) · New Phytologist · doi:10.1111/j.1469-8137.2008.02436.x · Cited by 4,472
Europe-wide reduction in primary productivity caused by the heat and drought in 2003
Ciais, P., Reichstein, M., Viovy, N., Granier, A., Ogée, J., Allard, V., Aubinet, M., Buchmann, N., Bernhofer, C., Carrara, A., et al. (2005) · Nature · doi:10.1038/nature03972 · Cited by 4,146
Global convergence in the vulnerability of forests to drought
Choat, B., Jansen, S., Brodribb, T. J., Cochard, H., Delzon, S., Bhaskar, R., Bucci, S. J., Feild, T. S., Gleason, S. M., Hacke, U. G., et al. (2012) · Nature · doi:10.1038/nature11688 · Cited by 2,779
Drought-Induced Reduction in Global Terrestrial Net Primary Production from 2000 Through 2009
Zhao, M., & Running, S. W. (2010) · Science · doi:10.1126/science.1192666 · Cited by 2,674
Cited by
Weiskopf, S. R., Rubenstein, M. A., Crozier, L. G., Gaichas, S., Griffis, R., Halofsky, J. E., Hyde, K. J. W., Morelli, T. L., Morisette, J. T., Muñoz, R. C., et al. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.137782 · Cited by 1,262
Reviewing the Use of Resilience Concepts in Forest Sciences
Nikinmaa, L., Lindner, M., Cantarello, E., Jump, A. S., Seidl, R., Winkel, G., & Muys, B. (2020) · Current Forestry Reports · doi:10.1007/s40725-020-00110-x · Cited by 205
Human augmentation of historical red pine fire regimes in the Boundary Waters Canoe Area Wilderness
Kipfmueller, K. F., Larson, E. R., Johnson, L. B., & Schneider, E. A. (2021) · Ecosphere · doi:10.1002/ecs2.3673 · Cited by 25
Metadata
- Authors
- Bottero, A., D'Amato, A. W., Palik, B. J., Bradford, J. B., Fraver, S., Battaglia, M. A., & Asherin, L. A.
- Venue
- Journal of Applied Ecology
- Publisher
- Wiley
- Published
- 2017-01-24
- Volume
- 54
- Issue
- 6
- Pages
- 1605-1614
- ISSN
- 0021-8901 (ISSN-L)
- 1365-2664
- OpenAlex
- W2560303966
- Cited by
- 312
- References
- 50
- FWCI
- 11.21
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Bottero, A., D'Amato, A. W., Palik, B. J., Bradford, J. B., Fraver, S., Battaglia, M. A., & Asherin, L. A. (2017). Density‐dependent vulnerability of forest ecosystems to drought. Journal of Applied Ecology. https://doi.org/10.1111/1365-2664.12847
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