2017
DOI: 10.5194/bg-14-2055-2017
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Spatiotemporal dynamics of soil phosphorus and crop uptake in global cropland during the 20th century

Abstract: Abstract. Phosphorus (P) plays a vital role in global crop production and food security. In this study, we investigate the changes in soil P pool inventories calibrated from historical countrywide crop P uptake, using a 0.5-by-0.5° spatially explicit model for the period 1900–2010. Globally, the total P pool per hectare increased rapidly between 1900 and 2010 in soils of Europe (+31 %), South America (+2 %), North America (+15 %), Asia (+17 %), and Oceania (+17 %), while it has been stable in Africa. Simulated… Show more

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Cited by 51 publications
(60 citation statements)
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“…It implies that P may not be the major growth limiting factor in our simulations, but rather N (Kvakić et al, 2018;. However, it is still important to increase P inputs in the P limited regions to maintain soil fertility especially under a continuous cultivation (Ringeval et al, 2014;Zhang et al, 2017).…”
Section: Discussionmentioning
confidence: 89%
“…It implies that P may not be the major growth limiting factor in our simulations, but rather N (Kvakić et al, 2018;. However, it is still important to increase P inputs in the P limited regions to maintain soil fertility especially under a continuous cultivation (Ringeval et al, 2014;Zhang et al, 2017).…”
Section: Discussionmentioning
confidence: 89%
“…For example, Figueira et al (2016) determined changes in inputs, outputs, and soil N stock using natural 15 N enrichment in the soils sampled from a chronosequence of soybean fields in Brazil. A simplified two-pool (labile and stable pools) P model, the Dynamic Phosphorus Pool Simulator (DPPS), has been developed to estimate P legacies from regional to global scales (Lun et al, 2018;Mogollón et al, 2018;Zhang et al, 2017). Other researchers used soil P dynamics models with more than two P pools (Goll et al, 2012;Ringeval et al, 2017;Wang et al, 2009;Yang et al, 2013) to study the distribution of soil P. Due to lack of data and understanding, it is difficult to compare and validate soil P pool estimates from different models.…”
Section: 1029/2018gb006060mentioning
confidence: 99%
“…In order to calculate the long-term evolution and geographical origin of cropland and grassland soil P stocks, we coupled the GRAFS approach (Le Noë et al 2018) and the DPPS model (by Wolf et al 1987, Sattari et al 2012, Zhang et al 2017. Hereafter, we briefly describe the hypotheses, input data and coupling of the two models (figure 1); further details are provided in supplementary online material 1 and 2 (SOM 1, 2) (stacks.iop.org/ERL/15/064022/mmedia) and the whole model calculations are available in the form of an excel workbook in SOM 3.…”
Section: Model Descriptionmentioning
confidence: 99%
“…Internal processes of P exchange between the labile and stable P pools are represented by first order rate kinetics for both processes. The constant rate for the transfer from labile to stable P (k L-S ) is fixed at 0.2 yr −1 (Wolf et al 1987, Zhang et al 2017, while the rate constant for stable P conversion into labile P (k S-L ) is one order of magnitude higher, and is calibrated for each region based on observed values of Olsen P for the 1995-2004 and 2005-2014 periods reported by Gouny et al (2016). The best fit values of k S-L of each region ranges between 0.005 and 0.1 yr −1 , with a mean value of 0.02 yr −1 .…”
Section: Model Descriptionmentioning
confidence: 99%