Global importance, patterns, and controls of dissolved silica retention in lakes and reservoirs

Harrison, John; Frings, Patrick J.; Beusen, Arthur; Conley, Daniel J.; McCrackin, Michelle L.

doi:10.1029/2011gb004228

Cited by 51 publications

(47 citation statements)

References 62 publications

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“…Our approach differs from SiRReLa (Harrison et al 2012) in two key ways. Firstly, our results are not spatially explicit.…”

Section: Lake Si Accumulation: Uncertainties and Implications For Thementioning

confidence: 99%

“…The only attempt to date (Harrison et al 2012) used 27 Si mass balances, including 24 of those compiled here (different inclusion criteria) to calibrate the SiRReLa model, but did not explore the use of AR BSi or C BSi data or potential links between catchment processes and Si accumulation. Our analysis demonstrates that core-based accumulation rates are unsuitable for upscaling (''BSi accumulation rates''), that surface sediment BSi concentrations are unrelated to accumulation rates (''Si surface sediment concentrations'') and that inclusion of catchment parameters does not help create scalable models, so only 30 mass-balance based sedimentation rates (''Si mass-balance studies'') remain.…”

Section: Lake Si Accumulation: Uncertainties and Implications For Thementioning

confidence: 99%

“…Lakescale Si mass-balances suggest the Si sink can be a substantial fraction of inflowing Si (Hofmann et al 2002;Muvundja et al 2009), so a global scale study of the magnitude and location of the lake Si sink will help to diagnose shifts in the build-up or depletion of Si in the continental reservoirs. Harrison et al (2012) used a spatially explicit global model 'Silica Retention in Reservoirs and Lakes' (SiRReLa) to calculate retention efficiency (% of inflowing Si retained) as a function of lake trophic state (classified from the NEWS-DIP-HD phosphorus loading model; Harrison et al 2010) and the ratio of water input to unit lake area, a surrogate for residence time (from Fekete et al 2002 andDoll 2004, respectively). Combined with an estimate of DSi input from the NEWS-DSi model (Beusen et al 2009), SiRReLa produces an estimate of absolute retention rates (mean 21.7 g m -2 year -1 ) of Si in lentic systems.…”

Section: Lake and Reservoir Si Accumulation: A Metaanalysismentioning

confidence: 99%

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Lack of steady-state in the global biogeochemical Si cycle: emerging evidence from lake Si sequestration

et al. 2014

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Weathering of silicate minerals releases dissolved silicate (DSi) to the soil-vegetation system. Accumulation and recycling of this DSi by terrestrial ecosystems creates a pool of reactive Si on the continents that buffers DSi export to the ocean. Human perturbations to the functioning of the buffer have been a recent research focus, yet a common assumption is that the continental Si cycle is at steadystate. However, we have no good idea of the timescales of ecosystem Si pool equilibration with their environments. A review of modelling and geochemical considerations suggests the modern continental Si cycle is in fact characterised in the longterm by an active accumulation of reactive Si, at least partially attributable to lakes and reservoirs. These lentic systems accumulate Si via biological conversion of DSi to biogenic silica (BSi). An analysis of new and published data for nearly 700 systems is presented to assess their contribution to the accumulating continental pool. Surface sediment BSi concentrations (n = 692) vary between zero and [60 % SiO 2 by weight, apparently independently of lake size, location or water chemistry. Using sediment core BSi accumulation rates (n = 109), still no relationships are found with lake or catchment parameters. However, issues associated with single-core accumulation rates should in any case preclude their use in elemental accumulation calculations. Based on lake/reservoir mass-balances (n = 34), our best global-scale estimate of combined lake and reservoir Si retention is 1.53 TMol year -1 , or 21-27 % of river DSi export. Again, no scalable relationships are apparent, suggesting Si retention is a complex process that varies from catchment to catchment. The lake Si sink has implications for estimation of weathering flux generation from river chemistry. The size of the total continental Si pool is poorly constrained, as is its accumulation rate, but lakes clearly contribute substantially. A corollary to this emerging understanding is that the flux and isotopic composition of DSi delivered to the ocean has likely varied over time, partly mediated by a fluctuating continental pool, including in lakes.

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“…Our approach differs from SiRReLa (Harrison et al 2012) in two key ways. Firstly, our results are not spatially explicit.…”

Section: Lake Si Accumulation: Uncertainties and Implications For Thementioning

confidence: 99%

Section: Lake Si Accumulation: Uncertainties and Implications For Thementioning

confidence: 99%

Section: Lake and Reservoir Si Accumulation: A Metaanalysismentioning

confidence: 99%

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Lack of steady-state in the global biogeochemical Si cycle: emerging evidence from lake Si sequestration

et al. 2014

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“…For instance, scientific AEMs can help to close mass balances of essential elements such as carbon, nitrogen and phosphorus and thereby allow quantifying the role of aquatic systems in national and global carbon and nutrient budgets (Robson et al 2008;Harrison et al 2012). Keeping track of mass balances can also provide help in answering stoichiometric questions (Giordani et al 2008;Li et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Exploring, exploiting and evolving diversity of aquatic ecosystem models: a community perspective

et al. 2015

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Here, we present a community perspective on how to explore, exploit and evolve the diversity in aquatic ecosystem models. These models play an important role in understanding the functioning of aquatic ecosystems, filling in observation gaps and developing effective strategies for water quality management. In this spirit, numerous models have been developed since the 1970s. We set off to explore model diversity by making an inventory among 42 aquatic ecosystem modellers, by categorizing the resulting set of models and by analysing them for diversity. We then focus on how to exploit model diversity by comparing and combining different aspects of existing models. Finally, we discuss how model diversity came about in the past and could evolve in the future. Throughout our study, we use Handling Editor: Piet Spaak.Electronic supplementary material The online version of this article (doi:10.1007/s10452-015-9544-1) contains supplementary material, which is available to authorized users. 123Aquat ) 49:513-548 DOI 10.1007 analogies from biodiversity research to analyse and interpret model diversity. We recommend to make models publicly available through open-source policies, to standardize documentation and technical implementation of models, and to compare models through ensemble modelling and interdisciplinary approaches. We end with our perspective on how the field of aquatic ecosystem modelling might develop in the next 5-10 years. To strive for clarity and to improve readability for non-modellers, we include a glossary.

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“…Classical colloid studies on model systems, summarized in the discussion section below, have shown significant adsorption of aluminium species on titania surfaces at these concentrations [8][9][10][11] and this paper considers the influence on photocatalytic activity of hydrous oxides of aluminium deliberately deposited on the TiO 2 surface. Silica, also, may be present in freshwater [12], often as a silica-alumina species [13]. Therefore, the effects of adsorbed silica are compared with those of adsorbed alumina.…”

Section: Introduction and Scopementioning

confidence: 99%

The Influence of Surface Alumina and Silica on the Photocatalytic Degradation of Organic Pollutants

Egerton

2013

Catalysts

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Practical photocatalysis for degradation of organic pollutants must take into account the influence of other chemicals. Significant Al deposition on titania can occur at naturally occurring concentrations of dissolved Al. This paper reviews the author's work on the influence of deliberately deposited hydrous oxides of aluminium on the behavior of a ~130 m 2 g −1 rutile TiO 2 , and then compares the behavior of deposited alumina with that of deposited silica. On rutile some adsorbed nitrogen is infrared-active. Alumina and silica deposited on the rutile reduce, and ultimately eliminate, this infrared-active species. They also reduce photocatalytic oxidation of both propan-2-ol and dichloroacetate ion and the photocatalytic reduction of diphenyl picryl hydrazine. The surface oxides suppress charge transfer and may also reduce reactant adsorption. Quantitative measurement of TiO 2 photogreying shows that the adsorbed inorganics also reduce photogreying, attributed to the capture of photogenerated conduction band electrons by Ti 4+ to form Ti 3+ . The influence of adsorbed phosphate on photocatalysis is briefly considered, since phosphate reduces photocatalytic disinfection. In the context of classical colloid studies, it is concluded that inorganic species in water can significantly reduce photoactivity from the levels that measured in pure water.

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Global importance, patterns, and controls of dissolved silica retention in lakes and reservoirs

Cited by 51 publications

References 62 publications

Lack of steady-state in the global biogeochemical Si cycle: emerging evidence from lake Si sequestration

Lack of steady-state in the global biogeochemical Si cycle: emerging evidence from lake Si sequestration

Exploring, exploiting and evolving diversity of aquatic ecosystem models: a community perspective

The Influence of Surface Alumina and Silica on the Photocatalytic Degradation of Organic Pollutants

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