Scaling relations of leaf mass (<i>M</i>_L, Ton/individual) and total biomass (<i>M</i>_T, Ton/individual) in evergreen forest (EF) and deciduous forest (DF).

<p><i>M</i>_T includes leaves, branches, stems and roots. The lines are linear RMA fits to the log-transformed data.</p

Vegetation, climatic characteristics and ages of biomes in Luo (1996).

<p><i>TDCF</i> Temperate Deciduous Coniferous Forest, <i>TECF</i> Temperate Evergreen Coniferous Forest, <i>TDBF</i> Temperate Deciduous Broadleaved Forest, <i>SEBF</i> Subtropical Evergreen Broadleaved Forest, <i>SECF</i> Subtropical Evergreen Cniferous Forest. MAT (°C) stands for Mean Annual Temperature (°C). MAP (mm) stands for Mean Annual Precipitation (mm). PET (mm) stands for Potential Evapotransporation (mm).</p

Allometric scaling relationships of leaf mass and total mass between evergreen and deciduous forests as estimated by standardized Major Axis Estimation and Testing Routines (SMATR).

<p><i>β</i> is the exponent as a consequence of individual <i>M</i>_L (leaf mass, tons/individual) scales with <i>M</i>_T (total mass, tons/individual). 95%CIs and SE are confidence intervals and standard error for <i>β</i> and <i>K</i>, respectively. No. is the number of plots. <i>EF</i> and <i>DF</i> represent Evergreen Forest and Deciduous Forest, respectively.</p

Allometric scaling relationships of leaf mass and total mass between conifer and broadleaved forests as estimated by standardized Major Axis Estimation and Testing Routines (SMATR).

<p><i>β</i> is the exponent as a consequence of individual <i>M</i>_L (leaf mass, tons/individual) scales with <i>M</i>_T (total mass, tons/individual). 95%CIs and SE are confidence intervals and standard error for <i>β</i> and <i>K</i>, respectively. No. is the number of plots. <i>CF</i> and <i>BF</i> represent Conifer Forest and Broadleaved Forest, respectively.</p

Scaling relations of leaf mass (<i>M</i>_L, Ton/individual) and total biomass (<i>M</i>_T, Ton/individual) in conifer forest (CF) and broadleaved forest (BF).

<p><i>M</i>_T includes leaves, branches, stems and roots. The lines are linear RMA fits to the log-transformed data.</p

Allometric scaling relationships of leaf mass and total mass across biomes as estimated by standardized Major Axis Estimation and Testing Routines (SMATR).

<p><i>β</i> is the exponent as a consequence of individual <i>M</i>_L (leaf mass, tons/individual) scales with <i>M</i>_T (total mass, tons/individual). 95%CIs and SE are confidence intervals and standard error for <i>β</i> and <i>K</i>, respectively. No. is the number of plots. <i>TDCF</i>, <i>TECF</i>, <i>TDBF</i>, <i>SEBF</i>, <i>SECF</i> are defined as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0095938#pone-0095938-t001" target="_blank">Table 1</a>.</p

Scaling relations of leaf mass (<i>M</i>_L, Ton/individual) and total biomass (<i>M</i>_T, Ton/individual) in differing forested biomes.

<p><i>M</i>_T includes leaves, branches, stems and roots. The lines are linear RMA fits to the log-transformed data. For each biome, data include dominant trees from stands of variable age: (A) TDCF, (B) TECF, (C) TDBF, (D) SEBF, (E) SECF. All data are pooled in (F).</p

Plant Photosynthesis-Irradiance Curve Responses to Pollution Show Non-Competitive Inhibited Michaelis Kinetics

<div><p>Photosynthesis-irradiance (PI) curves are extensively used in field and laboratory research to evaluate the photon-use efficiency of plants. However, most existing models for PI curves focus on the relationship between the photosynthetic rate (Pn) and photosynthetically active radiation (PAR), and do not take account of the influence of environmental factors on the curve. In the present study, we used a new non-competitive inhibited Michaelis-Menten model (NIMM) to predict the co-variation of Pn, PAR, and the relative pollution index (<i>I</i>). We then evaluated the model with published data and our own experimental data. The results indicate that the Pn of plants decreased with increasing <i>I</i> in the environment and, as predicted, were all fitted well by the NIMM model. Therefore, our model provides a robust basis to evaluate and understand the influence of environmental pollution on plant photosynthesis.</p></div

Effect of a pollutant on the normalized Pn under 1000 μmolphotonm^-2 s^-1 PAR.

<p>a, the normalized Pn of all five species regressed with respect to <i>I</i> using linear, power, exponential, and hyperbolic functions. b, the normalized Pn of each species regressed with respect to <i>I</i> using the hyperbolic function. AIC is Akaike's information criterion. ** means significant at <i>P</i> ≤ 0.01.</p

Data matrix for model establishing.

<p>Data matrix for model establishing.</p