The DOI matches its Crossref record; 105 of the 105 references it cites were found in a registry or an index.
Evaluating theories of drought‐induced vegetation mortality using a multimodel–experiment framework
Open accessAbstract
Summary: Model–data comparisons of plant physiological processes provide an understanding of mechanisms underlying vegetation responses to climate. We simulated the physiology of a piñon pine–juniper woodland (Pinus edulis–Juniperus monosperma) that experienced mortality during a 5 yr precipitation‐reduction experiment, allowing a framework with which to examine our knowledge of drought‐induced tree mortality. We used six models designed for scales ranging from individual plants to a global level, all containing state‐of‐the‐art representations of the internal hydraulic and carbohydrate dynamics of woody plants. Despite the large range of model structures, tuning, and parameterization employed, all simulations predicted hydraulic failure and carbon starvation processes co‐occurring in dying trees of both species, with the time spent with severe hydraulic failure and carbon starvation, rather than absolute thresholds per se, being a better predictor of impending mortality. Model and empirical data suggest that limited carbon and water exchanges at stomatal, phloem, and below‐ground interfaces were associated with mortality of both species. The model–data comparison suggests that the introduction of a mechanistic process into physiology‐based models provides equal or improved predictive power over traditional process‐model or empirical thresholds. Both biophysical and empirical modeling approaches are useful in understanding processes, particularly when the models fail, because they reveal mechanisms that are likely to underlie mortality. We suggest that for some ecosystems, integration of mechanistic pathogen models into current vegetation models, and evaluation against observations, could result in a breakthrough capability to simulate vegetation dynamics. Contents Summary 305 I. Background 305 II. Model–experiment approach 306 III. Simulations of hydraulic failure and carbon starvation 310 IV. On thresholds vs duration of stress as drivers of mortality 311 V. Interdependence of hydraulic failure and carbon starvation 314 VI. Next‐generation, traditional, and empirical models 316 VII. A path forward 317 VIII. Conclusions 318 Acknowledgements 318 References 318
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Cites
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Self-citationTRY – a global database of plant traits
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Cited by
Frank, D., Reichstein, M., Bahn, M., Thonicke, K., Frank, D., Mahecha, M. D., Smith, P., van der Velde, M., Vicca, S., Babst, F., et al. (2015) · Global Change Biology · doi:10.1111/gcb.12916 · Cited by 1,037
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Vegetation demographics in Earth System Models: A review of progress and priorities
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Drivers and mechanisms of tree mortality in moist tropical forests
McDowell, N., Allen, C. D., Anderson‐Teixeira, K., Brando, P., Brienen, R., Chambers, J., Christoffersen, B., Davies, S., Doughty, C., Duque, A., et al. (2018) · New Phytologist · doi:10.1111/nph.15027 · Cited by 597
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Metadata
- Authors
- 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., Limousin, J. M., Macalady, A., Martínez‐Vilalta, J., Mencuccini, M., Plaut, J. A., Ogée, J., Pangle, R. E., Rasse, D. P., Ryan, M. G., Sevanto, S., Waring, R. H., Williams, A. P., Yepez, E. A., & Pockman, W. T.
- Venue
- New Phytologist
- Publisher
- Wiley
- Published
- 2013-09-05
- Volume
- 200
- Issue
- 2
- Pages
- 304-321
- ISSN
- 0028-646X (ISSN-L)
- 1469-8137
- OpenAlex
- W2140982044
- Cited by
- 420
- References
- 105
- FWCI
- 34.50
- Type
- journal article
- Language
- en
- Open access
- bronze
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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., Limousin, J. M., Macalady, A., Martínez‐Vilalta, J., Mencuccini, M., Plaut, J. A., Ogée, J., Pangle, R. E., Rasse, D. P., Ryan, M. G., . . . Pockman, W. T. (2013). Evaluating theories of drought‐induced vegetation mortality using a multimodel–experiment framework. New Phytologist. https://doi.org/10.1111/nph.12465
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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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