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Appendix S4: Sources of parameter values used for the reference plant

In this Appendix I explain how the model parameters for the reference plant were

derived from empirical studies. I considered a hypothetical tree species in the tropics

as the reference plant species. Plant trait and environmental parameter values were

thus obtained mainly from literature data reported from the tropical forest ecosystem.

Plant Reproduction rate (r) and seedling mortality rate (m ) was derived from S

the study of Augspurger (1983) and Bell et al. (2006). Both studies focused on one

dominant tree species, Platypodium elegans and Sebastiana longicuspis, respectively,

and provided data for germinating seedling density and natural mortality. I assumed

the reference plant species to have parameter values between the two plant species, so

that trait values can fall within a realistic range when conducting simulations.

The living plant biomass was reported to be 133 Mg C ha-1 for an Amazonian

forest (Pyle et al., 2008). Under the assumption that at steady state one hectare can support the living of 1000 adult individual, the biomass of adults (BA) was set as

130000 g C for one adult. The biomass of one seedling individual (BS) was assumed

to be 10 g C as Markesteijn & Poorter (2009) reported that seedling biomass after one

growing season is between 1 to 35 g for 62 tree species in an Amazonian forest.

The value of plant C:N ratio is adapted from the study of Cernusak et al. (2010).

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The study showed that leaf N:C ratio lies between 20 to 60 (mg N g-1 C) for 13 plant

species. I assumed a C:N ratio (JP) value of 40 (g C g-1 N), which corresponds to a

value within their reported range.

Seedling biomass growth rate was estimated from aboveground wood

productivity, which is reported to lie between 2.11 to 4.33 Mg C ha-1 year-1 for

tropical forests (Pyle et al., 2008; Malhi et al., 2009). Under the assumed adult biomass and plant C:N ratio, I used 9ͪ10-7 g N-1 m2 day-1 as the growth parameter. For

the adult mortality rate, it was estimated that 0.02 adult individuals dies per year

(King et al., 2006). Therefore, I assumed an adult mortality rate (m ) of 5ͪ10A -5 day-1.

The value of litter decomposition rate is based on the study by Kurokawa &

Nakashizuka (2008), which reported that the litter decomposition rate for 40 tree

species in Malaysian tropical forest lie between 0.67 to 4.85 year-1. I thus assumed a

decomposition rate ( dec ) of 0.006 day-1 for the reference species. Litter production

rate of adults per unit N uptake (l) was estimated from litterfall data from tropical

forests (Clark et al., 2001; Malhi et al., 2009), which estimated that the magnitude of

this flux is between 3.4 to 7.3 Mg C ha-1 year-1. I set the trait value as 0.008 g C g N-1

day-1 ind.-1 such that the modeled flux has the same order of magnitude.

I adapted the value of pathogen infection efficiency (DS) from Augspurger (1983)

and Bell et al. (2006). It was documented that 58.25% of Platypodium elegans

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seedlings died due to pathogen infection within three months, while 50% of

Sebastiana longicuspis seedlings died across five weeks. Similar to previous traits, I

assumed the reference plant species to have trait values between the two plant species.

The pathogens infection efficiency of adult (D ) is assumed to be much smaller A

compared to those of seedlings (i.e. DSͪ10-4). I assumed the pathogen assimilation

ratio (b ) of the reference plant as 0.6 following other theoretical studies (Miki et al., P

2010), which is a reasonable value since my model considered nitrogen flux instead of

carbon. The value of litter return ratio ( f ) is set to 0.35 as I assumed 5% of plant P

nitrogen will directly return to the soil N pool after pathogen infection.

For the pathogen mortality rate (GP), Hancock (1981) observed that the decline

of Pythium ultimum in the field follows exponential decay with a half-life of

approximately 30 days, yielding a decay rate around 0.02 day-1. For the case of

mycorrhiza, an experiment by Staddon et al. (2003) showed that some fraction of

mycorrhizal hyphae have a turnover time up to 30 days (i.e. mortality rate equal to

0.03 day-1). Here, I assumed a slightly smaller pathogen mortality rate with the value

0.01 day-1 to fulfill mathematical conditions from Appendix S3. I assumed the same

value for mycorrhiza mortality rate (G ). M

For the parameter value of carbon transfer ratio (Cmax), Bryla and Eissenstat

(2005) suggested that the total cost of plant-mycorrhiza associations ranges from 3 to

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36% of the carbon fixed by photosynthesis. Whereas among the carbon allocated to

mycorrhizal associations, more than 40% is consumed by respiration (Bryla &

Eissenstat, 2005). Therefore, I set the value of carbon transfer ratio as 0.2 and the

mycorrhiza carbon assimilation ratio (eM) as 0.6.

The value of negative impact coefficient between microbes is calculated from a

study by Sikes et al. (2009), which showed that the percentage colonization of root by

pathogens declined 20 to 40% within five months when growing with mycorrhizas. I

set the negative impact of mycorrhizas on pathogens (EPM) as 0.005 g N-1 m2 day-1 so

that a similar decrease can be realized in the model system. I assumed that the

negative impact of pathogens on mycorrhizas (E ) have the same magnitude. MP

For the environmental parameters, Menge et al. (2009) reported that the

atmospheric N deposition flux is within the order of 10-100 kg N ha-1 year-1 in

polluted ecosystems, while the leaching flux of plant-available inorganic N and

plant-unavailable inorganic N lies between 0.1-10 and 0.2-70 kg N ha-1 year-1,

respectively. I assumed a deposition input (I) equal to 0.005 g N m-2 day-1, which is

adapted from Vitousek & Sanford (1986) from tropical forest studies. This value

corresponds to a flux of 18.25 kg N ha-1 year-1, which is reasonable if I assumed an

ecosystem with low anthropogenic impact. I assumed the leaching rate of inorganic N (Le) and organic N (φ) is 0.0002 day-1 and 0.00008 day-1, respectively. The values of

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these parameters are chosen in a way that the modeled N flux was within the range

reported by Menge et al. (2009).

References

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759-771.

Bell T, Freckleton RP, Lewis OT. 2006. Plant pathogens drive density-dependent seedling mortality in a tropical tree. Ecology letters 9: 569–574.

Pyle EH, Santoni GW, Nascimento HEM, Hutyra LR, Vieira S, Curran DJ, van Haren J, Saleska, SR, Chow VY, Carmago PB et al. 2008. Dynamics of carbon, biomass, and structure in two Amazonian forests. Journal of Geophysical Research 113: 1–20.

Cernusak LA, Winter K, Turner BL. 2010. Leaf nitrogen to phosphorus ratios of tropical trees: experimental assessment of physiological and environmental controls. The New phytologist 185: 770–779.

King DA, Davies SJ, Noor NSM. 2006. Growth and mortality are related to adult tree size in a Malaysian mixed dipterocarp forest. Forest Ecology and

Management 223: 152–158.

Malhi Y, Aragão LEOC, Metacalfe DB, Paiva R, Quesada CA, Almeida S, Anderson L, Brando P, Chambers JQ, da Costa ACL et al. 2009.

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Vitousek PM, Denslow JS. 1986. Nitrogen and phosphorus availability in treefall gaps of a lowland tropical rainforest. Journal of Ecology 74: 1167–1178.

Kurokawa H, Nakashizuka T. 2008. Leaf herbivory and decomposability in a Malaysian tropical rain forest. Ecology 89: 2645–2656.

Hancock JG. 1981. longevity of pythium ultimum in moist soils.pdf. Phytopathology 71: 1033-1037.

Bryla DR, Eissenstat DM. 2005. Respiratory costs of mycorrhizal associations. In:

Lambers H, Ribas-Carbo M, eds. Plant Respiration: From Cell to Ecosystem.

New York, USA: Springer-Verlag, 207-224

Hodge A, Fitter AH. 2010. Substantial nitrogen acquisition by arbuscular mycorrhizal fungi from organic material has implications for N cycling.

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Staddon PL, Ramsey CB, Ostle N, Ineson P, Fitter AH. 2003. Rapid turnover of hyphae of mycorrhizal fungi determined by AMS microanalysis of 14C. Science 300: 1138–1140.

Sikes BA, Cottenie K, Klironomos JN. 2009. Plant and fungal identity determines pathogen protection of plant roots by arbuscular mycorrhizas. Journal of Ecology 97: 1274–1280.

Clark DA, Brown S, Kicklighter DW, Chambers JQ, Thomlinson JR, Ni J, Holland EA. 2001. Net Primary Production in Tropical Forests: An Evaluation and Synthesis of Existing Field Data. Ecological Applications 11: 371-384.

Markesteijn L, Poorter L. 2009. Seedling root morphology and biomass allocation of 62 tropical tree species in relation to drought- and shade-tolerance. Journal of Ecology 97: 311–325.

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Menge DNL, Pacala SW, Hedin LO. 2009. Emergence and maintenance of nutrient limitation over multiple timescales in terrestrial ecosystems. The American naturalist 173: 164–175.

Miki T, Ushio M, Fukui S, Kondoh M. 2010. Functional diversity of microbial decomposers facilitates plant coexistence in a plant-microbe-soil feedback model.

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