Watershed-Scale Phosphorus Balance Evaluation Using a Mass Balance Method

Li, Shiyu; Liu, Bin; Yang, Chao; Chen, Guiming; Yuan, Lang; Song, Yangyu; Li, Xiaomei; Cun, Deshou; Hu, Shuang

doi:10.1007/978-3-662-49155-3_72

Cited by 1 publication

(2 citation statements)

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“…With increasing timescale, these annually minor input-output fluxes may amplify to be appreciable in magnitude. For example, in the annual P balance for a 22,360 ha catchment (including a 3160 ha lake), 6.2% of input fluxes were atmospheric deposition and 0.78% of output fluxes were total P discharged via outlets (Li et al, 2016). Accounting for unintentional P export fluxes (i.e., (1) P Inputs = P Outputs + Residual P Illustrating this, in New Zealand pastures receiving fertilizer P as triple superphosphate over 57 years, mass balance calculations that accounted for P losses by irrigation outwash, surface runoff, and leaching (as well as excretal transfer by grazing livestock) led to high verification via soil sampling to quantify soil P stock change: of the 946-1932 kg ha −1 of residual P estimated by mass balances, 97%-99% was recovered in the soil to 100 cm depth (Tian et al, 2019).…”

Section: Mass Balancesmentioning

confidence: 99%

“…With increasing timescale, these annually minor input–output fluxes may amplify to be appreciable in magnitude. For example, in the annual P balance for a 22,360 ha catchment (including a 3160 ha lake), 6.2% of input fluxes were atmospheric deposition and 0.78% of output fluxes were total P discharged via outlets (Li et al., 2016). Accounting for unintentional P export fluxes (i.e., losses) can deliver high accuracy to mass balance approaches to estimate residual P.…”

Section: Estimating Residual Phosphorusmentioning

confidence: 99%

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Missing phosphorus legacy of the Anthropocene: Quantifying residual phosphorus in the biosphere

Margenot,

Zhou,

et al. 2024

Global Change Biology

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A defining feature of the Anthropocene is the distortion of the biosphere phosphorus (P) cycle. A relatively sudden acceleration of input fluxes without a concomitant increase in output fluxes has led to net accumulation of P in the terrestrial‐aquatic continuum. Over the past century, P has been mined from geological deposits to produce crop fertilizers. When P inputs are not fully removed with harvest of crop biomass, the remaining P accumulates in soils. This residual P is a uniquely anthropogenic pool of P, and its management is critical for agronomic and environmental sustainability. Managing residual P first requires its quantification—but measuring residual P is challenging. In this review, we synthesize approaches to quantifying residual P, with emphasis on advantages, disadvantages, and complementarity. Common approaches to estimate residual P are mass balances, long‐term experiments, soil test P trends and chronosequences, with varying suitability or even limitations to distinct spatiotemporal scales. We demonstrate that individual quantification approaches are (i) constrained, (ii) often complementary, and (iii) may be feasible at only certain time–space scales. While some of these challenges are inherent to the quantification approach, in many cases there are surmountable challenges that can be addressed by unifying existing P pool and flux datasets, standardizing and synchronizing data collection on pools and fluxes, and quantifying uncertainty. Though defined as a magnitude, the distribution and speciation of residual P is relatively less understood but shapes its utilization and environmental impacts. The form of residual P will vary by agroecosystem context due to edaphoclimatic‐specific transformation of the accumulated P, which has implications for management (e.g., crop usage) and future policies (e.g., lag times in P loading from non‐point sources). Quantifying the uncertainty in measuring residual P holds value beyond scientific understanding, as it supports prioritization of monitoring and management resources and inform policy.

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Section: Mass Balancesmentioning

confidence: 99%

Section: Estimating Residual Phosphorusmentioning

confidence: 99%