This Zenodo repository contains the code and the processed dataset used in the research paper titled "Tropical tree ectomycorrhiza are distributed independently of soil nutrients" published in Nature Ecology & Evolution. In this study, we investigate the distribution and abundance of ectomycorrhizal (EcM) trees in lowland tropical forests and their relationship with soil quality.Key Finding: EcM-associated trees' distribution and abundance in lowland tropical forests are independent of soil quality.Contents:Code (CODE_COARSE_SCALE.R and CODE_FINE_SCALE.R): Contains the R scripts used for data analysis.Processed Dataset (PCs_prop_EcM.csv): Includes the processed data for the fine-scale analysis.README: Provides detailed information on how to use the code, interpret the dataset, and access additional required information.Data Access Information:To perform the full analyses, please request additional data from the Principal Investigators (PIs) of the plots.ForestGEO plot data can be obtained upon request through the ForestGEO portal at http://ctfs.si.edu/datarequest/.Refer to Extended Data Table 1 in the manuscript for a comprehensive list of data sources.

This Zenodo repository contains the code and the processed dataset used in the research paper titled "Tropical tree ectomycorrhiza are distributed independently of soil nutrients" published in Nature Ecology & Evolution. In this study, we investigate the distribution and abundance of ectomycorrhizal (EcM) trees in lowland tropical forests and their relationship with soil quality.Key Finding: EcM-associated trees' distribution and abundance in lowland tropical forests are independent of soil quality.Contents:Code (CODE_COARSE_SCALE.R and CODE_FINE_SCALE.R): Contains the R scripts used for data analysis.Processed Dataset (PCs_prop_EcM.csv): Includes the processed data for the fine-scale analysis.README: Provides detailed information on how to use the code, interpret the dataset, and access additional required information.Data Access Information:To perform the full analyses, please request additional data from the Principal Investigators (PIs) of the plots.ForestGEO plot data can be obtained upon request through the ForestGEO portal at http://ctfs.si.edu/datarequest/.Refer to Extended Data Table 1 in the manuscript for a comprehensive list of data sources.

1. Tropical forest productivity is often thought to be limited by soil phosphorus (P) availability. Phosphorus availability might therefore constrain potential increases in growth as the atmospheric CO2 concentration increases, yet there is little experimental evidence with which to evaluate this hypothesis. We hypothesized that while all species would respond more strongly to elevated CO2 when supplied with extra P, individual species’ responses would also depend on their habitat associations with either high- or low-P soils. We further hypothesized that this effect would be exacerbated by a reduction in transpiration rate under elevated CO2, as transpiration may aid in P acquisition. 2. We used a pot experiment to test the effects of P addition on the physiological and growth response to elevated CO2 of eight tropical tree species with contrasting distributions across a soil P gradient in Panamanian lowland forests. Seedlings were grown in an ambient (400 ppm) or elevated (800 ppm) CO2-controlled glasshouse in either a high or low P treatment to quantify the effects of P limitation on relative growth rate, transpiration, maximum photosynthetic rate, and foliar nutrients. 3. We found evidence of limitation by P and CO2 on growth, photosynthesis, foliar nutrients, and transpiration. However, species’ P affinities did not predict relative growth rate or transpiration responses to elevated CO2 in either the low P or high P treatments. 4. Transpiration rates decreased under elevated CO2, but foliar P was greater for some species under elevated CO2, suggesting a greater capacity for upregulation of P acquisition in species associated with low P soils. 5. Our results show that tropical forest responses to elevated CO2 will be species-specific and not necessarily explained by P affinities based on distribution, which poses challenges for predictions of community-wide responses.

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A table showing top BLAST matches (in GenBank) for ITS genotypes of fungi isolated from seeds of four Cecropia species following incubation for five months in the forest understory beneath four crowns of C. insignis.

A table showing top BLAST matches (in GenBank) for ITS genotypes of fungi isolated from seeds of four Cecropia species following incubation for five months in the forest understory beneath four crowns of C. insignis.