@@ -146,24 +146,7 @@ analytical approach, wrote the computer code and performed analyses.

![**Figure 1 Assessing competitive interactions at global scale.****a,** Precipitation-temperature space occupied by the natural forest communities studied. Biomes follow the definition of Whittaker [@ricklefs_economy_2001]:

tropical rainforest. **b,** Sampled patches vary in the density of

competitors from species $c$ around individuals from a focal species

$f$. For each tree we record the stem diameter $D_i$ across multiple

censuses, and link this with records for the traits of the focal and

competitor species, $t_f$ and $t_c$ respectively. **c,** We use a

neighbourhood modelling framework to model the effects of the traits

and the total basal area ($B_c$) and traits of competitor species on

growth of the focal tree. These effects can be broken down into those

influencing potential growth rate (maximum growth red) and reductions in growth per unit basal area of competitor (blue), $\alpha_{c,f}$. Trait value of focal tree ($t_f$) can influences the tree growth without competition (maximum growth, $m_1$). The trait value of the focal tree can influences its tolerance to competition ($t_f \,\alpha_r$) and the trait values of the competitors can influence their competitive impact ($t_c \,\alpha_i$). Finally, the trait similarity between the focal tree and its competitors can influences competitive interactions ($\alpha_s \,\vert t_c-t_f \vert$) (see extended methods). The parameters $m_1, \alpha_0, \alpha_i, \alpha_r$ and $\alpha_s$ are fitted from data. \label{ilustr}](image/fig1eb.pdf)

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**OR**

![**Figure 1 Assessing competitive interactions at global scale.****a,** Precipitation-temperature space occupied by the natural forest communities studied. Biomes follow the definition of Whittaker [@ricklefs_economy_2001]:

![**Assessing competitive interactions at global scale.****a,** Precipitation-temperature space occupied by the natural forest communities studied (NFI data : national forest Inventories, LPP data : large permanent plots) . Biomes follow the definition of Whittaker [@ricklefs_economy_2001]:

tropical rainforest. **b,** Sampled patches vary in the density of

...

...

@@ -174,13 +157,9 @@ analytical approach, wrote the computer code and performed analyses.

neighbourhood modelling framework to model the effects of the traits

and size of the focal tree, and the total basal area ($B_c$) and

traits of competitor species on growth of the focal tree. These

effects can be broken down into those influencing potential growth

rate (maximum growth red) and reductions in growth per unit basal area of competitor (blue), $\alpha_{c,f}$. Trait value of focal tree ($t_f$) can influences the tree growth without competition (maximum growth, $m_1$). The trait value of the focal tree can influences its tolerance to competition ($t_f \,\alpha_r$) and the trait values of the competitors can influence their competitive impact ($t_c \,\alpha_i$). Finally, the trait similarity between the focal tree and its competitors can influences competitive interactions ($\alpha_s \,\vert t_c-t_f \vert$) (see extended methods). The parameters $m_0, m_1, \gamma, \alpha_0, \alpha_i, \alpha_r$ and $\alpha_s$ are fitted from data. \label{ilustr2}](image/fig1e.pdf)

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effects can be broken down into those influencing maximum growth

rate (red) and those influencing reduction in growth per unit basal area of competitor (blue), $\alpha_{c,f}$. Trait value of focal tree ($t_f$) can influences the tree growth without competition (maximum growth, $m_1$). The trait value of the focal tree can influences its tolerance to competition ($t_f \,\alpha_r$) and the trait values of the competitors can influence their competitive impact ($t_c \,\alpha_i$). Finally, the trait similarity between the focal tree and its competitors can influences competitive interactions ($\alpha_s \,\vert t_c-t_f \vert$) (see extended methods). The parameters $m_1, \gamma, \alpha_0, \alpha_i, \alpha_r$ and $\alpha_s$ are fitted from data. \label{ilustr2}](image/fig1e.pdf)

**COMMENT: NOT SURE THE BLACK ELLIPSE ARE THE BEST WAY TO REPRESENT THE DATA. May be have different colors per ellipse per data set?? such as the one in the follwing figure**

![**Data set in colors](../../figs/biomesnumbercol.pdf)