The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Twelve testable hypotheses on the geobiology of weathering
Abstract
Critical Zone (CZ) research investigates the chemical, physical, and biological processes that modulate the Earth’s surface. Here, we advance 12 hypotheses that must be tested to improve our understanding of the CZ: (1) Solar‐to‐chemical conversion of energy by plants regulates flows of carbon, water, and nutrients through plant‐microbe soil networks, thereby controlling the location and extent of biological weathering. (2) Biological stoichiometry drives changes in mineral stoichiometry and distribution through weathering. (3) On landscapes experiencing little erosion, biology drives weathering during initial succession, whereas weathering drives biology over the long term.(4) In eroding landscapes, weathering‐front advance at depth is coupled to surface denudation via biotic processes.(5) Biology shapes the topography of the Critical Zone.(6) The impact of climate forcing on denudation rates in natural systems can be predicted from models incorporating biogeochemical reaction rates and geomorphological transport laws.(7) Rising global temperatures will increase carbon losses from the Critical Zone.(8) Rising atmospheric P CO2 will increase rates and extents of mineral weathering in soils.(9) Riverine solute fluxes will respond to changes in climate primarily due to changes in water fluxes and secondarily through changes in biologically mediated weathering.(10) Land use change will impact Critical Zone processes and exports more than climate change. (11) In many severely altered settings, restoration of hydrological processes is possible in decades or less, whereas restoration of biodiversity and biogeochemical processes requires longer timescales.(12) Biogeochemical properties impart thresholds or tipping points beyond which rapid and irreversible losses of ecosystem health, function, and services can occur.
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Cites
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“Although climate change may not have been the biggest driver to date in determining changing erosion patterns, this hypothesis probes whether ongoing changes in temperature and precipitation (Canadell et al., 2007; IPCC, 2007) will be more or less important to CZ fluxes than changes in land use and cover.”
BackgroundInfluentialCarbon losses from all soils across England and Wales 1978–2003
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Cited by
Carbon mineralization: From natural analogues to engineered systems
Power, I. M., Harrison, A. L., Dipple, G. M., Wilson, S., Kelemen, P. B., Hitch, M., & Southam, G. (2013) · Reviews in Mineralogy and Geochemistry · doi:10.2138/rmg.2013.77.9 · Cited by 299
Dahl, T. W., & Arens, S. K. M. (2020) · Chemical Geology · doi:10.1016/j.chemgeo.2020.119665 · Cited by 160
Bouissonnié, A., Daval, D., Guyot, F., & Ackerer, P. (2020) · The Journal of Physical Chemistry C · doi:10.1021/acs.jpcc.9b10824 · Cited by 16
Metadata
- Authors
- BRANTLEY, S. L., MEGONIGAL, J. P., SCATENA, F. N., BALOGH‐BRUNSTAD, Z., BARNES, R. T., BRUNS, M. A., VAN CAPPELLEN, P., DONTSOVA, K., HARTNETT, H. E., HARTSHORN, A. S., HEIMSATH, A., HERNDON, E., JIN, L., KELLER, C. K., LEAKE, J. R., MCDOWELL, W. H., MEINZER, F. C., MOZDZER, T. J., PETSCH, S., PETT‐RIDGE, J., PREGITZER, K. S., RAYMOND, P. A., RIEBE, C. S., SHUMAKER, K., SUTTON‐GRIER, A., WALTER, R., & YOO, K.
- Venue
- Geobiology
- Publisher
- Wiley
- Published
- 2011-01-14
- Volume
- 9
- Issue
- 2
- Pages
- 140-165
- ISSN
- 1472-4669 (ISSN-L)
- 1472-4677
- OpenAlex
- W2151569302
- Cited by
- 199
- References
- 13
- FWCI
- 21.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- BRANTLEY, S. L., MEGONIGAL, J. P., SCATENA, F. N., BALOGH‐BRUNSTAD, Z., BARNES, R. T., BRUNS, M. A., VAN CAPPELLEN, P., DONTSOVA, K., HARTNETT, H. E., HARTSHORN, A. S., HEIMSATH, A., HERNDON, E., JIN, L., KELLER, C. K., LEAKE, J. R., MCDOWELL, W. H., MEINZER, F. C., MOZDZER, T. J., PETSCH, S., . . . YOO, K. (2011). Twelve testable hypotheses on the geobiology of weathering. Geobiology. https://doi.org/10.1111/j.1472-4669.2010.00264.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.