Articles | Volume 17, issue 2
https://doi.org/10.5194/bg-17-441-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-17-441-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Estimates of mean residence times of phosphorus in commonly considered inorganic soil phosphorus pools
Julian Helfenstein
CORRESPONDING AUTHOR
Institute of Agricultural Sciences, ETH Zurich, Lindau 8315,
Switzerland
now at: Agroscope, Zurich 8046, Switzerland
Chiara Pistocchi
CORRESPONDING AUTHOR
Eco&Sols, Montpellier SupAgro, University of Montpellier, CIRAD,
INRA, IRD, 34060 Montpellier, France
Astrid Oberson
Institute of Agricultural Sciences, ETH Zurich, Lindau 8315,
Switzerland
Federica Tamburini
Institute of Agricultural Sciences, ETH Zurich, Lindau 8315,
Switzerland
Daniel S. Goll
Le Laboratoire des Sciences du Climat et de l'Environnement, IPSL-LSCE
CEA/CNRS/UVSQ Saclay, Gif-sur-Yvette, France
now at: Institute of Geography, University of Augsburg, Augsburg, Germany
Emmanuel Frossard
Institute of Agricultural Sciences, ETH Zurich, Lindau 8315,
Switzerland
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Lina Teckentrup, Martin G. De Kauwe, Andrew J. Pitman, Daniel S. Goll, Vanessa Haverd, Atul K. Jain, Emilie Joetzjer, Etsushi Kato, Sebastian Lienert, Danica Lombardozzi, Patrick C. McGuire, Joe R. Melton, Julia E. M. S. Nabel, Julia Pongratz, Stephen Sitch, Anthony P. Walker, and Sönke Zaehle
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Alexander J. Winkler, Ranga B. Myneni, Alexis Hannart, Stephen Sitch, Vanessa Haverd, Danica Lombardozzi, Vivek K. Arora, Julia Pongratz, Julia E. M. S. Nabel, Daniel S. Goll, Etsushi Kato, Hanqin Tian, Almut Arneth, Pierre Friedlingstein, Atul K. Jain, Sönke Zaehle, and Victor Brovkin
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Satellite observations since the early 1980s show that Earth's greening trend is slowing down and that browning clusters have been emerging, especially in the last 2 decades. A collection of model simulations in conjunction with causal theory points at climatic changes as a key driver of vegetation changes in natural ecosystems. Most models underestimate the observed vegetation browning, especially in tropical rainforests, which could be due to an excessive CO2 fertilization effect in models.
Yuanyuan Huang, Phillipe Ciais, Maurizio Santoro, David Makowski, Jerome Chave, Dmitry Schepaschenko, Rose Z. Abramoff, Daniel S. Goll, Hui Yang, Ye Chen, Wei Wei, and Shilong Piao
Earth Syst. Sci. Data, 13, 4263–4274, https://doi.org/10.5194/essd-13-4263-2021, https://doi.org/10.5194/essd-13-4263-2021, 2021
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Roots play a key role in our Earth system. Here we combine 10 307 field measurements of forest root biomass worldwide with global observations of forest structure, climatic conditions, topography, land management and soil characteristics to derive a spatially explicit global high-resolution (~ 1 km) root biomass dataset. In total, 142 ± 25 (95 % CI) Pg of live dry-matter biomass is stored belowground, representing a global average root : shoot biomass ratio of 0.25 ± 0.10.
Wolfgang A. Obermeier, Julia E. M. S. Nabel, Tammas Loughran, Kerstin Hartung, Ana Bastos, Felix Havermann, Peter Anthoni, Almut Arneth, Daniel S. Goll, Sebastian Lienert, Danica Lombardozzi, Sebastiaan Luyssaert, Patrick C. McGuire, Joe R. Melton, Benjamin Poulter, Stephen Sitch, Michael O. Sullivan, Hanqin Tian, Anthony P. Walker, Andrew J. Wiltshire, Soenke Zaehle, and Julia Pongratz
Earth Syst. Dynam., 12, 635–670, https://doi.org/10.5194/esd-12-635-2021, https://doi.org/10.5194/esd-12-635-2021, 2021
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We provide the first spatio-temporally explicit comparison of different model-derived fluxes from land use and land cover changes (fLULCCs) by using the TRENDY v8 dynamic global vegetation models used in the 2019 global carbon budget. We find huge regional fLULCC differences resulting from environmental assumptions, simulated periods, and the timing of land use and land cover changes, and we argue for a method consistent across time and space and for carefully choosing the accounting period.
Zichong Chen, Junjie Liu, Daven K. Henze, Deborah N. Huntzinger, Kelley C. Wells, Stephen Sitch, Pierre Friedlingstein, Emilie Joetzjer, Vladislav Bastrikov, Daniel S. Goll, Vanessa Haverd, Atul K. Jain, Etsushi Kato, Sebastian Lienert, Danica L. Lombardozzi, Patrick C. McGuire, Joe R. Melton, Julia E. M. S. Nabel, Benjamin Poulter, Hanqin Tian, Andrew J. Wiltshire, Sönke Zaehle, and Scot M. Miller
Atmos. Chem. Phys., 21, 6663–6680, https://doi.org/10.5194/acp-21-6663-2021, https://doi.org/10.5194/acp-21-6663-2021, 2021
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NASA's Orbiting Carbon Observatory 2 (OCO-2) satellite observes atmospheric CO2 globally. We use a multiple regression and inverse model to quantify the relationships between OCO-2 and environmental drivers within individual years for 2015–2018 and within seven global biomes. Our results point to limitations of current space-based observations for inferring environmental relationships but also indicate the potential to inform key relationships that are very uncertain in process-based models.
Yan Sun, Daniel S. Goll, Jinfeng Chang, Philippe Ciais, Betrand Guenet, Julian Helfenstein, Yuanyuan Huang, Ronny Lauerwald, Fabienne Maignan, Victoria Naipal, Yilong Wang, Hui Yang, and Haicheng Zhang
Geosci. Model Dev., 14, 1987–2010, https://doi.org/10.5194/gmd-14-1987-2021, https://doi.org/10.5194/gmd-14-1987-2021, 2021
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We evaluated the performance of the nutrient-enabled version of the land surface model ORCHIDEE-CNP v1.2 against remote sensing, ground-based measurement networks and ecological databases. The simulated carbon, nitrogen and phosphorus fluxes among different spatial scales are generally in good agreement with data-driven estimates. However, the recent carbon sink in the Northern Hemisphere is substantially underestimated. Potential causes and model development priorities are discussed.
Yuan Zhang, Ana Bastos, Fabienne Maignan, Daniel Goll, Olivier Boucher, Laurent Li, Alessandro Cescatti, Nicolas Vuichard, Xiuzhi Chen, Christof Ammann, M. Altaf Arain, T. Andrew Black, Bogdan Chojnicki, Tomomichi Kato, Ivan Mammarella, Leonardo Montagnani, Olivier Roupsard, Maria J. Sanz, Lukas Siebicke, Marek Urbaniak, Francesco Primo Vaccari, Georg Wohlfahrt, Will Woodgate, and Philippe Ciais
Geosci. Model Dev., 13, 5401–5423, https://doi.org/10.5194/gmd-13-5401-2020, https://doi.org/10.5194/gmd-13-5401-2020, 2020
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We improved the ORCHIDEE LSM by distinguishing diffuse and direct light in canopy and evaluated the new model with observations from 159 sites. Compared with the old model, the new model has better sunny GPP and reproduced the diffuse light fertilization effect observed at flux sites. Our simulations also indicate different mechanisms causing the observed GPP enhancement under cloudy conditions at different times. The new model has the potential to study large-scale impacts of aerosol changes.
Jolanda E. Reusser, René Verel, Daniel Zindel, Emmanuel Frossard, and Timothy I. McLaren
Biogeosciences, 17, 5079–5095, https://doi.org/10.5194/bg-17-5079-2020, https://doi.org/10.5194/bg-17-5079-2020, 2020
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Inositol phosphates (IPs) are a major pool of organic P in soil. However, information on their diversity and abundance in soil is limited. We isolated IPs from soil and characterised them using solution nuclear magnetic resonance (NMR) spectroscopy. For the first time, we provide direct spectroscopic evidence for the existence of a multitude of lower-order IPs in soil extracts previously not detected with NMR. Our findings will help provide new insight into the cycling of IPs in ecosystems.
Cited articles
Achat, D. L., Pousse, N., Nicolas, M., Brédoire, F., and Augusto, L.:
Soil properties controlling inorganic phosphorus availability: general
results from a national forest network and a global compilation of the
literature, Biogeochemistry, 127, 255–272,
https://doi.org/10.1007/s10533-015-0178-0, 2016.
Barrow, N. J. and Debnath, A.: Effect of phosphate status on the sorption
and desorption properties of some soils of northern India, Plant Soil,
378, 383–395, https://doi.org/10.1007/s11104-014-2042-8, 2014.
Blake, L., Johnston, A. E., Poulton, P. R., and Goulding, K. W. T.: Changes
in soil phosphorus fractions following positive and negative phosphorus
balances for long periods, Plant Soil, 254, 245–261,
https://doi.org/10.1023/A:1025544817872, 2003.
Blake, R. E., O'Neil, J. R., and Surkov, A. V.: Biogeochemical cycling of
phosphorus: Insights from oxygen isotope effects of phosphoenzymes, Am. J.
Sci., 305, 596–620, https://doi.org/10.2475/ajs.305.6-8.596, 2005.
Borda, T., Celi, L., Bunemann, E. K., Oberson, A., Frossard, E., and
Barberis, E.: Fertilization strategies affect phosphorus forms and release
from soils and suspended solids, J. Environ. Qual., 43, 1024–1031,
https://doi.org/10.2134/jeq2013.11.0436, 2014.
Buehler, S., Oberson, A., Rao, I. M., Friesen, D. K., and Frossard, E.:
Sequential Phosphorus Extraction of a 33P-Labeled Oxisol under Contrasting
Agricultural Systems, Soil Sci. Soc. Am. J., 66, 868–877,
https://doi.org/10.2136/sssaj2002.8680, 2002.
Buehler, S., Oberson, A., Sinaj, S., Friesen, D. K., and Frossard, E.:
Isotope methods for assessing plant available phosphorus in acid tropical
soils, Eur. J. Soil Sci., 54, 605–616,
https://doi.org/10.1046/j.1365-2389.2003.00542.x, 2003.
Bünemann, E., Marschner, P., McNeill, A., and McLaughlin, M.: Measuring
rates of gross and net mineralisation of organic phosphorus in soils, Soil
Biol. Biochem., 39, 900–913, https://doi.org/10.1016/j.soilbio.2006.10.009, 2007.
Bünemann, E. K.: Assessment of gross and net mineralization rates of
soil organic phosphorus – A review, Soil Biol. Biochem., 89, 82–98,
https://doi.org/10.1016/j.soilbio.2015.06.026, 2015.
Bünemann, E. K., Steinebrunner, F., Smithson, P. C., Frossard, E., and
Oberson, A.: Phosphorus dynamics in a highly weathered soil as revealed by
isotopic labeling techniques, Soil Sci. Soc. Am. J., 68, 1645–1655,
https://doi.org/10.2136/sssaj2004.1645, 2004.
Bünemann, E. K., Oberson, A., Liebisch, F., Keller, F., Annaheim, K. E.,
Huguenin-Elie, O., and Frossard, E.: Rapid microbial phosphorus
immobilization dominates gross phosphorus fluxes in a grassland soil with
low inorganic phosphorus availability, Soil Biol. Biochem., 51, 84–95,
https://doi.org/10.1016/j.soilbio.2012.04.012, 2012.
Bünemann, E. K., Augstburger, S., and Frossard, E.: Dominance of either
physicochemical or biological phosphorus cycling processes in temperate
forest soils of contrasting phosphate availability, Soil Biol. Biochem.,
101, 85–95, https://doi.org/10.1016/j.soilbio.2016.07.005, 2016.
Chen, C. R., Sinaj, S., Condron, L. M., Frossard, E., Sherlock, R. R., and
Davis, M. R.: Characterization of phosphorus availability in selected New
Zealand grassland soils, Nutr. Cycl. Agroecosys., 65, 89–100,
https://doi.org/10.1023/a:1021889207109, 2003.
Cross, A. F. and Schlesinger, W. H.: A literature review and evaluation of
the Hedley fractionation: Applications to the biogeochemical cycle of soil
phosphorus in natural ecosystems, Geoderma, 64, 197–214,
https://doi.org/10.1016/0016-7061(94)00023-4, 1995.
Daroub, S. H., Pierce, F. J., and Ellis, B. G.: Phosphorus fractions and fate
of phosphorus-33 in soils under plowing and no-tillage, Soil Sci. Soc. Am.
J., 64, 170–176, https://doi.org/10.2136/sssaj2000.641170x, 2000.
Demaria, P., Sinaj, S., Flisch, R., and Frossard, E.: Soil properties and
phosphorus isotopic exchangeability in cropped temperate soils, Commun. Soil
Sci. Plant Anal., 44, 287–300, https://doi.org/10.1080/00103624.2013.741896,
2013.
Fardeau, J. C.: Le phosphore assimilable des sols?: sa représentation
par un modèle fonctionnel à plusieurs compartiments, Agronomie,
13, 317–331, 1993.
Fardeau, J. C.: Dynamics of phosphate in soils. An isotopic outlook, Fertil.
Res., 45, 91–100, https://doi.org/10.1007/bf00790658, 1996.
Fardeau, J.-C., Morel, C., and Boniface, R.: Phosphate ion transfer from soil
to soil solution: kinetic parameters, Agronomie, 11, 787–797, 1991.
Feng, J., Turner, B. L., Lü, X., Chen, Z., Wei, K., Tian, J., Wang, C.,
Luo, W., and Chen, L.: Phosphorus transformations along a large-scale
climosequence in arid and semiarid grasslands of northern China, Global
Biogeochem. Cy., 30, 1264–1275, https://doi.org/10.1002/2015gb005331, 2016.
Fox, J. and Monette, G.: Generalized collinearity diagnostics, J. Am. Stat.
Assoc., 87, 178–183, https://doi.org/10.1080/01621459.1992.10475190, 1992.
Frossard, E., Morel, J. L., Fardeau, J. C., and Brossard, M.: Soil
isotopically exchangeable phosphorus: A comparison between E and L values,
Soil Sci. Soc. Am. J., 58, 846–851,
https://doi.org/10.2136/sssaj1994.03615995005800030031x, 1994.
Frossard, E., Brossard, M., Hedley, M. J., and Metherell, A.: Reactions
controlling the cycling of P in soils, in: Phosphorus in the Global
Environment: Transfers, Cycles, and Management, edited by: Tiessen, H.,
John Wiley & Sons, Ltd., 107–138, 1995.
Frossard, E., Sinaj, S., and Dufour, P.: Phosphorus in Urban Sewage Sludges
as Assessed by Isotopic Exchange, Soil Sci. Soc. Am. J., 60, 179–182,
https://doi.org/10.2136/sssaj1996.03615995006000010029x, 1996.
Frossard, E., Skrabal, P., Sinaj, S., Bangerter, F., and Traore, O.: Forms
and exchangeability of inorganic phosphate in composted solid organic
wastes, Nutr. Cycl. Agroecosys., 62, 103–113,
https://doi.org/10.1023/A:1015596526088, 2002.
Frossard, E., Achat, D. L., Bernasconi, S. M., Fardeau, J., Jansa, J.,
Morel, C., Randriamanantsoa, L., Sinaj, S., and Oberson, A.: The use of
tracers to investigate phosphate cycling in soil–plant systems, in:
Phosphorus in Action, edited by: Bünemann, E. K., Springer,
Heidelberg, 59–91, 2011.
Gallet, A., Flisch, R., Ryser, J.-P., Frossard, E., and Sinaj, S.: Effect of
phosphate fertilization on crop yield and soil phosphorus status, J. Plant
Nutr. Soil Sci., 166, 568–578, https://doi.org/10.1002/jpln.200321081, 2003.
Gérard, F.: Clay minerals, iron/aluminum oxides, and their contribution
to phosphate sorption in soils – A myth revisited, Geoderma, 262,
213–226, https://doi.org/10.1016/j.geoderma.2015.08.036, 2016.
Goll, D. S., Brovkin, V., Parida, B. R., Reick, C. H., Kattge, J., Reich, P.
B., van Bodegom, P. M., and Niinemets, Ü.: Nutrient limitation reduces
land carbon uptake in simulations with a model of combined carbon, nitrogen
and phosphorus cycling, Biogeosciences, 9, 3547–3569,
https://doi.org/10.5194/bg-9-3547-2012, 2012.
Goll, D. S., Vuichard, N., Maignan, F., Jornet-Puig, A., Sardans, J.,
Violette, A., Peng, S. S., Sun, Y., Kvakic, M., Guimberteau, M., Guenet, B.,
Zaehle, S., Penuelas, J., Janssens, I., and Ciais, P.: A representation of
the phosphorus cycle for ORCHIDEE (revision 4520), Geosci. Model Dev.,
10, 3745–3770, https://doi.org/10.5194/gmd-10-3745-2017, 2017.
Gross, A. and Angert, A.: Use of 13C- and phosphate 18O-labeled substrate
for studying phosphorus and carbon cycling in soils: a proof of concept,
Rapid Commun. Mass Sp., 31, 969–977, https://doi.org/10.1002/rcm.7863, 2017.
Guidry, M. W. and Mackenzie, F. T.: Experimental study of igneous and
sedimentary apatite dissolution: Control of pH, distance from equilibrium,
and temperature on dissolution rates, Geochim. Cosmochim. Ac., 67,
2949–2963, https://doi.org/10.1016/S0016-7037(03)00265-5, 2003.
Guo, F., Yost, R. S., Hue, N. V., Evensen, C. I., and Silva, J. A.: Changes
in phosphorus fractions in soils under intensive plant growth, Soil Sci.
Soc. Am. J., 64, 1681–1689, https://doi.org/10.2136/sssaj2000.6451681x, 2000.
Hamon, R. E., Bertrand, I., and McLaughlin, M. J.: Use and abuse of isotopic
exchange data in soil chemistry, Soil Res., 40, 1371–1381,
https://doi.org/10.1071/SR02046, 2002.
Hedley, M. J., Stewart, J. W. B., and Chauhan, B. S.: Changes in inorganic
and organic soil phosphorus fractions induced by cultivation practices and
by laboratory incubations, Soil Sci. Soc. Am. J., 46, 970–976,
https://doi.org/10.2136/sssaj1982.03615995004600050017x, 1982.
Helfenstein, J., Tamburini, F., von Sperber, C., Massey, M., Pistocchi, C.,
Chadwick, O., Vitousek, P., Kretzschmar, R., and Frossard, E.: Combining
spectroscopic and isotopic techniques gives a dynamic view of phosphorus
cycling in soil, Nat. Commun., 9, 3226, https://doi.org/10.1038/s41467-018-05731-2, 2018a.
Helfenstein, J., Jegminat, J., McLaren, T. I., and Frossard, E.: Soil
solution phosphorus turnover: derivation, interpretation, and insights from
a global compilation of isotope exchange kinetic studies, Biogeosciences,
15, 105–114, https://doi.org/10.5194/bg-15-105-2018, 2018b.
Hengl, T., Mendes de Jesus, J., Heuvelink, G. B., Ruiperez Gonzalez, M.,
Kilibarda, M., Blagotic, A., Shangguan, W., Wright, M. N., Geng, X.,
Bauer-Marschallinger, B., Guevara, M. A., Vargas, R., MacMillan, R. A.,
Batjes, N. H., Leenaars, J. G., Ribeiro, E., Wheeler, I., Mantel, S., and
Kempen, B.: SoilGrids250m: Global gridded soil information based on machine
learning, PLoS One, 12, e0169748, https://doi.org/10.1371/journal.pone.0169748, 2017.
Hinsinger, P.: Bioavailability of soil inorganic P in the rhizosphere as
affected by root-induced chemical changes: a review, Plant Soil, 237,
173–195, https://doi.org/10.1023/a:1013351617532, 2001.
Hou, E., Tan, X., Heenan, M., and Wen, D.: A global dataset of plant
available and unavailable phosphorus in natural soils derived by Hedley
method, Sci. Data, 5, 180166, https://doi.org/10.1038/sdata.2018.166, 2018a.
Hou, E., Chen, C., Luo, Y., Zhou, G., Kuang, Y., Zhang, Y., Heenan, M., Lu,
X., and Wen, D.: Effects of climate on soil phosphorus cycle and availability
in natural terrestrial ecosystems, Glob. Change Biol., 24, 3344–3356,
https://doi.org/10.1111/gcb.14093, 2018b.
Hou, E., Lu, X., Jiang, L., Wen, D., and Luo, Y.: Quantifying soil phosphorus
dynamics: a data assimilation approach, J. Geophys. Res.-Biogeo., 124,
2159–2173, https://doi.org/10.1029/2018JG004903, 2019.
IUSS Working Group WRB: World reference base for soil resources 2014, update
2015: International soil classification system for naming soils and creating
legends for soil maps, FAO, Rome, 144–181, 2015.
Kar, G., Hundal, L. S., Schoenau, J. J., and Peak, D.: Direct chemical
speciation of P in sequential chemical extraction residues using P K-edge
X-ray absorption near-edge structure spectroscopy, Soil Sci., 176,
589–595, https://doi.org/10.1097/SS.0b013e31823939a3, 2011.
Keller, M., Oberson, A., Annaheim, K. E., Tamburini, F., Mäder, P.,
Mayer, J., Frossard, E., and Bünemann, E. K.: Phosphorus forms and
enzymatic hydrolyzability of organic phosphorus in soils after 30 years of
organic and conventional farming, J. Plant Nutr. Soil Sci., 175,
385–393, https://doi.org/10.1002/jpln.201100177, 2012.
Lang, F., Krüger, J., Amelung, W., Willbold, S., Frossard, E.,
Bünemann, E. K., Bauhus, J., Nitschke, R., Kandeler, E., Marhan, S.,
Schulz, S., Bergkemper, F., Schloter, M., Luster, J., Guggisberg, F.,
Kaiser, K., Mikutta, R., Guggenberger, G., Polle, A., Pena, R., Prietzel,
J., Rodionov, A., Talkner, U., Meesenburg, H., von Wilpert, K.,
Hölscher, A., Dietrich, H. P., and Chmara, I.: Soil phosphorus supply
controls P nutrition strategies of beech forest ecosystems in Central
Europe, Biogeochemistry, 136, 5–29, https://doi.org/10.1007/s10533-017-0375-0, 2017.
Lloyd, J., Bird, M., Veenendall, E., and Kruijt, B.: Should phosphorus
availability be constraining moist tropical forest respones to increasing
CO2 concentrations?, in: Global Biogeochemical Cycles in the Climate System,
edited by: Schulze, E.-D., Heimann, M., Harrison, S., Holland, E., Lloyd, J., Prentice, I. C., and Schimel, D. S., Elsevier, New York, 95–114, 2001.
Moir, J. O. and Tiessen, H.: Characterization of Available P by Sequential
Extraction, in: Soil Sampling and Methods of Analysis, edited by:
Carter, M. R., CRC Press, Boca Raton, FL, 293–306, 1993.
Negassa, W. and Leinweber, P.: How does the Hedley sequential phosphorus
fractionation reflect impacts of land use and management on soil phosphorus:
A review, J. Plant Nutr. Soil Sci., 172, 305–325,
https://doi.org/10.1002/jpln.200800223, 2009.
Nriagu, J. O.: Phosphate – clay mineral relations in soils and sediments,
Can. J. Earth Sci., 13, 717–736, https://doi.org/10.1139/e76-077, 1976.
Oberson, A. and Joner, E. J.: Microbial turnover of phosphorus in soil, in:
Organic phosphorus in the environment, edited by: Turner, B. L., Frossard, E.,
and Baldwin, D. S., CABI Publishing, p. 133, 2005.
Oberson, A., Friesen, D. K., Tiessen, H., Morel, C., and Stahel, W.:
Phosphorus status and cycling in native savanna and improved pastures on an
acid low-P Colombian Oxisol, Nutr. Cycl. Agroecosys., 55, 77–88,
https://doi.org/10.1023/a:1009813008445, 1999.
Oehl, F., Oberson, A., Probst, M., Fliessbach, A., Roth, H.-R., and Frossard,
E.: Kinetics of microbial phosphorus uptake in cultivated soils, Biol.
Fert. Soils, 34, 31–41, https://doi.org/10.1007/s003740100362, 2001.
Pistocchi, C., Mészáros, É., Tamburini, F., Frossard, E., and
Bünemann, E. K.: Biological processes dominate phosphorus dynamics under
low phosphorus availability in organic horizons of temperate forest soils,
Soil Biol. Biochem., 126, 64–75, https://doi.org/10.1016/j.soilbio.2018.08.013, 2018.
Prietzel, J., Klysubun, W., and Werner, F.: Speciation of phosphorus in
temperate zone forest soils as assessed by combined wet-chemical
fractionation and XANES spectroscopy, J. Plant Nutr. Soil Sci., 179,
168–185, https://doi.org/10.1002/jpln.201500472, 2016.
R Core Team: R: A language and environment for statistical computing,
available at: http://www.r-project.org (last access: 12 May 2019), 2018.
Reed, S. C., Yang, X., and Thornton, P. E.: Incorporating phosphorus cycling
into global modeling efforts: a worthwhile, tractable endeavor, New Phytol.,
208, 324–329, https://doi.org/10.1111/nph.13521, 2015.
Roberts, K., Defforey, D., Turner, B. L., Condron, L. M., Peek, S., Silva,
S., Kendall, C., and Paytan, A.: Oxygen isotopes of phosphate and soil
phosphorus cycling across a 6500 year chronosequence under lowland temperate
rainforest, Geoderma, 257/258, 14–21, https://doi.org/10.1016/j.geoderma.2015.04.010,
2015.
Sakamoto, Y., Ishiguro, M., and Kitagawa, G.: Akaike Information Criterion
Statistics, KTK Scientific Publishers, Tokyo, 1–290 pp., 1986.
Six, J. and Jastrow, J. D.: Organic matter turnover, in: Encyclopedia of Soil
Science, edited by: Lal, R., Marcel Dekker, Inc., New York,
936–942, 2002.
Spohn, M. and Widdig, M.: Turnover of carbon and phosphorus in the microbial
biomass depending on phosphorus availability, Soil Biol. Biochem., 113,
53–59, https://doi.org/10.1016/j.soilbio.2017.05.017, 2017.
Sun, Y., Peng, S., Goll, D. S., Ciais, P., Guenet, B., Guimberteau, M.,
Hinsinger, P., Janssens, I. A., Peñuelas, J., Piao, S., Poulter, B.,
Violette, A., Yang, X., Yin, Y., and Zeng, H.: Diagnosing phosphorus
limitations in natural terrestrial ecosystems in carbon cycle models,
Earth's Futur., 5, 730–749, https://doi.org/10.1002/2016EF000472, 2017.
Syers, J. K., Johnston, A. E., and Curtin, D.: Efficiency of soil and
fertilizer phosphorus use: Reconciling changing concepts of soil phosphorus
behaviour with agronomic information, FAO, Rome, available at:
http://www.fao.org/docrep/010/a1595e/a1595e00.htm (last access: 12 May 2019), 2008.
Tamburini, F., Pfahler, V., Bünemann, E. K., Guelland, K., Bernasconi,
S. M., and Frossard, E.: Oxygen isotopes unravel the role of microorganisms
in phosphate cycling in soils, Environ. Sci. Technol., 46, 5956–5962,
https://doi.org/10.1021/es300311h, 2012.
Tamburini, F., Pistocchi, C., Helfenstein, J., and Frossard, E.: A method to
analyse the isotopic composition of oxygen associated to organic phosphorus
in soil and plant material, Eur. J. Soil Sci., 69, 816–826,
https://doi.org/10.1111/ejss.12693, 2018.
Tiessen, H., Stewart, J. W. B., and Cole, C. V: Pathways of phosphorus
transformations in soils of differing pedogenesis, Soil Sci. Soc. Am. J.,
48, 853–858, https://doi.org/10.2136/sssaj1984.03615995004800040031x, 1984.
von Sperber, C., Stallforth, R., Du Preez, C., and Amelung, W.: Changes in
soil phosphorus pools during prolonged arable cropping in semiarid
grasslands, Eur. J. Soil Sci., 68, 462–471, https://doi.org/10.1111/ejss.12433,
2017.
Vu, D. T., Tang, C., and Armstrong, R. D.: Transformations and availability
of phosphorus in three contrasting soil types from native and farming
systems: A study using fractionation and isotopic labeling techniques, J.
Soils Sediments, 10, 18–29, https://doi.org/10.1007/s11368-009-0068-y, 2010.
Walker, T. W. and Syers, J. K.: The fate of phosphorus during pedogenesis,
Geoderma, 15, 1–19, https://doi.org/10.1016/0016-7061(76)90066-5, 1976.
Wanek, W., Zezula, D., Wasner, D., Mooshammer, M., and Prommer, J.: A novel isotope pool dilution approach to quantify gross rates of key abiotic and biological processes in the soil phosphorus cycle, Biogeosciences, 16, 3047–3068, https://doi.org/10.5194/bg-16-3047-2019, 2019.
Wang, Y. P., Law, R. M., and Pak, B.: A global model of carbon, nitrogen and
phosphorus cycles for the terrestrial biosphere, Biogeosciences, 7,
2261–2282, https://doi.org/10.5194/bg-7-2261-2010, 2010.
Weiner, T., Gross, A., Moreno, G., Migliavacca, M., Schrumpf, M.,
Reichstein, M., Hilman, B., Carrara, A., and Angert, A.: Following the
Turnover of Soil Bioavailable Phosphate in Mediterranean Savanna by Oxygen
Stable Isotopes, J. Geophys. Res.-Biogeo., 123, 1850–1862,
https://doi.org/10.1029/2017jg004086, 2018.
Wu, Y., Prietzel, J., Zhou, J., Bing, H., Luo, J., Yu, D., Sun, S., Liang,
J., and Sun, H.: Soil phosphorus bioavailability assessed by XANES and Hedley
sequential fractionation technique in a glacier foreland chronosequence in
Gongga Mountain, Southwestern China, Sci. China Earth Sci., 57,
1860–1868, https://doi.org/10.1007/s11430-013-4741-z, 2014.
Yang, X., Thornton, P. E., Ricciuto, D. M., and Post, W. M.: The role of
phosphorus dynamics in tropical forests – a modeling study using CLM-CNP,
Biogeosciences, 11, 1667–1681, https://doi.org/10.5194/bg-11-1667-2014, 2014.
Yu, L., Zanchi, G., Akselsson, C., Wallander, H., and Belyazid, S.: Modeling
the forest phosphorus nutrition in a southwestern Swedish forest site, Ecol.
Modell., 369, 88–100, https://doi.org/10.1016/j.ecolmodel.2017.12.018,
2018.
Short summary
In this article we provide estimates of mean residence times of phosphorus in inorganic soil phosphorus pools. These values improve our understanding of the dynamics of phosphorus cycling and can be used to improve global land surface models.
In this article we provide estimates of mean residence times of phosphorus in inorganic soil...
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