Modelling of land nutrient cycles: recent progress and future development

Wang, Ying‐Ping; Goll, Daniel S.

doi:10.12703/r/10-53

Cited by 10 publications

(8 citation statements)

References 36 publications

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“…Our estimated maximum P uptake, which represents the actual available P for plant uptake (Wang and Goll, 2021), for both ambient and eCO2 conditions, is highly correlated with the plant P demand (R 2 = 0.96 and 0.52 respectively). The plant P demand depends on the GPP changes which are reflected by the WUE (Hatfield and Dold, 2019).…”

Section: Evaluation Of Model Performance Against Observationsmentioning

confidence: 86%

Representation of phosphorus cycle in Joint UK Land Environment Simulator (vn5.5_JULES-CNP)

Nakhavali

Mercado

Hartley

et al. 2021

Preprint

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Abstract. Most Land Surface Models (LSMs), the land components of Earth system models (ESMs), include representation of N limitation on ecosystem productivity. However only few of these models have incorporated phosphorus (P) cycling. In tropical ecosystems, this is likely to be particularly important as N tends to be abundant but the availability of rock-derived elements, such as P, can be very low. Thus, without a representation of P cycling, tropical forest response in areas such as Amazonia to rising atmospheric CO2 conditions remains highly uncertain. In this study, we introduced P dynamics and its interactions with the N and carbon (C) cycles into the Joint UK Land Environment Simulator (JULES). The new model (JULES-CNP) includes the representation of P stocks in vegetation and soil pools, as well as key processes controlling fluxes between these pools. We evaluate JULES-CNP at the Amazon nutrient fertilization experiment (AFEX), a low fertility site, representative of about 60 % of Amazon soils. We apply the model under ambient CO2 and elevated CO2. The model is able to reproduce the observed plant and soil P pools and fluxes under ambient CO2. We estimate P to limit net primary productivity (NPP) by 24 % under current CO2 and by 46 % under elevated CO2. Under elevated CO2, biomass in simulations accounting for CNP increase by 10 % relative to at contemporary CO2, although it is 5 % lower compared with CN and C-only simulations. Our results highlight the potential for high P limitation and therefore lower CO2 fertilization capacity in the Amazon forest with low fertility soils.

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Section: Evaluation Of Model Performance Against Observationsmentioning

confidence: 86%

Representation of phosphorus cycle in Joint UK Land Environment Simulator (vn5.5_JULES-CNP)

Nakhavali

Mercado

Hartley

et al. 2021

Preprint

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“…( 2013 ). With the improved global data set and implementation of soil inorganic P model into global land models, a significant advance can be made in modeling of terrestrial biogeochemical cycles globally (see Wang & Goll, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

“…The representation of soil P in global models at present is largely based on the conceptual model developed by McGill and Cole ( 1981 ) who emphasized the importance of soil enzymes for soil P bioavailability, and the partitioning of different soil P pools based on Hedley fractions (Cross & Schlesinger, 1995 ; Yang et al., 2013 ). Because of scarcity of global observational data, model equations for soil P dynamics were largely derived from a conceptual understanding with the model parameters chosen arbitrarily, or assumed to be globally constant (Wang & Goll, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Toward a Global Model for Soil Inorganic Phosphorus Dynamics: Dependence of Exchange Kinetics and Soil Bioavailability on Soil Physicochemical Properties

Wang

Huang

Augusto

et al. 2022

Global Biogeochemical Cycles

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The representation of phosphorus (P) cycling in global land models remains quite simplistic, particularly on soil inorganic phosphorus. For example, sorption and desorption remain unresolved and their dependence on soil physical and chemical properties is ignored. Empirical parameter values are usually based on expert knowledge or data from few sites with debatable global representativeness in most global land models. To overcome these issues, we compiled from data of inorganic soil P fractions and calculated the fraction of added P remaining in soil solution over time of 147 soil samples to optimize three parameters in a model of soil inorganic P dynamics. The calibrated model performed well (r2 > 0.7 for 122 soil samples). Model parameters vary by several orders of magnitude, and correlate with soil P fractions of different inorganic pools, soil organic carbon and oxalate extractable metal oxide concentrations among the soil samples. The modeled bioavailability of soil P depends on, not only, the desorption rates of labile and sorbed pool, inorganic phosphorus fractions, the slope of P sorbed against solution P concentration, but also on the ability of biological uptake to deplete solution P concentration and the time scale. The model together with the empirical relationships of model parameters on soil properties can be used to quantify bioavailability of soil inorganic P on various timescale especially when coupled within global land models.

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“…Dynamics of forest structure and tree mortality are not resolved in most phosphorus‐enabled biosphere models (Fleischer et al ., 2019; Wang & Goll, 2021), but have been shown to affect carbon sinks and drive continental differences in trends during recent decades (Hubau et al ., 2020). In particular, droughts are discussed as an important factor for tree mortality in tropical ecosystems (Yang et al ., 2018).…”

Section: Discussionmentioning

confidence: 99%

Atmospheric phosphorus deposition amplifies carbon sinks in simulations of a tropical forest in Central Africa

et al. 2022

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Spatial redistribution of nutrients by atmospheric transport and deposition could theoretically act as a continental-scale mechanism which counteracts declines in soil fertility caused by nutrient lock-up in accumulating biomass in tropical forests in Central Africa. However, to what extent it affects carbon sinks in forests remains elusive.Here we use a terrestrial biosphere model to quantify the impact of changes in atmospheric nitrogen and phosphorus deposition on plant nutrition and biomass carbon sink at a typical lowland forest site in Central Africa.We find that the increase in nutrient deposition since the 1980s could have contributed to the carbon sink over the past four decades up to an extent which is similar to that from the combined effects of increasing atmospheric carbon dioxide and climate change. Furthermore, we find that the modelled carbon sink responds to changes in phosphorus deposition, but less so to nitrogen deposition.The pronounced response of ecosystem productivity to changes in nutrient deposition illustrates a potential mechanism that could control carbon sinks in Central Africa. Monitoring the quantity and quality of nutrient deposition is needed in this region, given the changes in nutrient deposition due to human land use.

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Modelling of land nutrient cycles: recent progress and future development

Cited by 10 publications

References 36 publications

Representation of phosphorus cycle in Joint UK Land Environment Simulator (vn5.5_JULES-CNP)

Representation of phosphorus cycle in Joint UK Land Environment Simulator (vn5.5_JULES-CNP)

Toward a Global Model for Soil Inorganic Phosphorus Dynamics: Dependence of Exchange Kinetics and Soil Bioavailability on Soil Physicochemical Properties

Atmospheric phosphorus deposition amplifies carbon sinks in simulations of a tropical forest in Central Africa

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