Mountain ranges, climate and weathering. Do orogens strengthen or weaken the silicate weathering carbon sink?☆
Introduction
The continental topography is a key component of the Earth climate regulation. Large mountain ranges are thought to increase the weatherability of continental surfaces through enhanced physical erosion and sediment production. These processes promote chemical weathering and associated CO2 consumption either in ranges or in the lowlands located at their feet (West et al., 2005, Moquet et al., 2011, Lupker et al., 2012, Goddéris et al., 2017). Mountain ranges would thus strengthen the negative feedback between silicate rock weathering and climate, avoiding extreme fluctuations in the atmospheric CO2 concentrations (Maher and Chamberlain, 2014). In addition, enhanced erosion and sedimentation rates increase the efficiency of organic carbon burial (Galy et al., 2007, Bouchez et al., 2014), promoting further cooling.
The absence of mountains also exerts a topographic control on the global carbon cycle. Flattening of the continents is thought to decrease the global continental weatherability and the strength of the weathering feedback, allowing CO2 to accumulate in the atmosphere and climate to warm, as it might have been the case in the early Eocene (Goddéris et al., 2008, Carretier et al., 2014, Froelich and Misra, 2014, Maher and Chamberlain, 2014, Vigier and Goddéris, 2015). The progressive shift from an Eocene world with potentially flat continents towards the present-day steeper topography is commonly invoked to explain the global climatic cooling of the Cenozoic.
However, this paradigm, linking the Cenozoic cooling to the uplift of large orogens, is still debated (Willenbring and von Blanckenburg, 2010, Norton and Schlunegger, 2017). Those contributions point towards a weak impact of mountain ranges on the global weathering and erosion rates. Mountains may also act as CO2 producers, through the release of sulfuric acid by pyrite oxidation that will accelerate carbonate dissolution (Torres et al., 2016) and the metamorphic decarbonation (Girault et al., 2014). Furthermore, the impact of mountain building on global climate also requires knowledge of the size of the area covered by the uplifted domains, on the nature of the rocks exposed in the orogen (Brault et al., 2017), and on their latitudinal position (Goddéris et al., 2017).
In a simplified description of the world composed of flat and mountainous areas, can we quantify the contribution of mountains to the overall CO2 consumption by silicate rock weathering? The answer to this question remains unclear. Mountains modify the local physical erosion, but mountain ranges are also impacting the atmospheric and oceanic global circulation. For instance, the presence of mountain ranges is one of the triggers of the Atlantic meridional overturning cell (Schmittner et al., 2011, Sinha et al., 2012, Maffre et al., 2018) and modern mountain ranges have been shown to lead to an aridification of continents interiors (Broccoli and Manabe, 1992, Kutzbach et al., 1993). The mountains heavily modify the global climatic pattern (including rainfall), and hence the weathering fluxes everywhere on Earth. Additionally, the response of weathering to continental surfaces may depend on our ability to simulate the climate and on the formalism chosen to describe the coupling between physical erosion and weathering. The response of weathering to the presence or absence of mountains will also depend on the quality of the available database for weathering that can be used for model calibration.
To address this issue, we focus on two end-members: the modern geography and an idealized mountain-free geography. We investigate how global weathering changes when the continents are assumed to be flat using a numerical modeling method designed for Earth's global scale. By comparing the true CO2 consumption with that simulated for a flat world, we estimate the contribution of present-day mountain ranges.
Section snippets
General framework
The aim of this study is to provide constraints on the behavior of the global carbon uptake by silicate weathering in a globally flat world. Given that silicate weathering is a complex function of climate and physical erosion, a cascade of large-scale models describing the climatic conditions, the physical erosion, and the chemical weathering must be set up.
Our general methodology can be summarized as follows: a mathematical law linking chemical weathering to physical erosion and climate is
Weathering model performances at high resolution
In this section, we evaluate the performances of the weathering model (Eq. (1)) at present-day. To avoid any bias from other models, eq. (1) is applied to fields of temperature, runoff and erosion as close as possible to real ones. Runoff and temperature are thus taken from the Climate Research Unit (CRU) database. They were computed from 100 yr climate reanalysis. Such a database does no exist for erosion. We use the erosion chart of Ludwig and Probst (1998), which is a model locally corrected
Results
In this section, we first give details about the main results of the IPSL-CM5 climate simulations. We then use these outputs to calculate erosion rates for both CTRL and FLAT simulations. Finally, we quantify and compare the resulting global weathering rates using each of the different calibrations detailed in Section 3.
Discussion
A number of caveats might affect these results and are worth detailing:
Conclusions
In this contribution, we use an IPCC-class climate model and up to date formulations linking continental weathering rates to climate and to physical erosion, in order to explore the response of continental silicate weathering to a general flattening of the continents. We constrain the parameters of the models with published riverine geochemical data. Our results support a predominant effect of erosion, with globally lower weathering in a world without mountains. Nevertheless, the available data
Acknowledgments
This work notably relies on the model developed by Joshua West, and benefits from some conversations with him. Handling of geographic data (watersheds contours) was done with the help of Vincent Regard. We also thank Yannick Donnadieu for the proofreading.
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Abbreviations: CRU: Climate Research Unit; SPIM: Stream Power Incision Model; IPSL-CM5: Institut Pierre Simon Laplace Climate Model v. 5; LEM: Landscape Elevation Model; CTRL: Control experiment; FLAT: Flat Earth experiment; SRTM: Shuttle Radar Topography Mission.