A global dataset of tree hydraulic and structural traits imputed from phylogenetic relationships.
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PubMed
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| Format: | Artículo científico |
| Langue: | en |
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Scientific data
2024
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| _version_ | 1868266265821315072 |
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| author | Knighton, James Sanchez-Martinez, Pablo Anderegg, Leander |
| author_facet | Knighton, James Sanchez-Martinez, Pablo Anderegg, Leander Knighton, James Sanchez-Martinez, Pablo Anderegg, Leander |
| collection | PubMed - marine biology |
| contents | A global dataset of tree hydraulic and structural traits imputed from phylogenetic relationships. Knighton, James Sanchez-Martinez, Pablo Anderegg, Leander Trees Phylogeny Plant Leaves Water Photosynthesis Xylem We present a dataset of plant hydraulic and structural traits imputed for 55,779 tree species based on TRY plant trait dataset observations and phylogenetic relationships. We collected plant trait values for maximum stomatal conductance (gs), xylem pressure at 12%, 50%, and 88% conductance loss (P12, P50, P88), maximum observed rooting depth (rd), photosynthetic Water Use Efficiency (WUE), maximum plant height (height), Specific Leaf Area (SLA), and leaf Nitrogen content (LeafN). We demonstrated that each of these traits exhibited remarkably large phylogenetic signals across all land plants. Based on the strength of this signal we then developed random forest (RF) models trained on TRY trait data to impute the traits of previously unstudied tree species using Phylogenetic Eigenvector Maps. We quantified imputed trait uncertainty by fitting RF model test dataset residuals to skew exponential power distributions accounting for heteroscedasticity, demonstrating encouraging lack of biases in the imputed dataset. The resulting dataset of imputed trait values can support global analyses of plant trait variations and species-level parameterization of earth systems models. |
| format | Artículo científico |
| id | pubmed_39695137 |
| institution | PubMed |
| language | en |
| publishDate | 2024 |
| publisher | Scientific data |
| record_format | pubmed |
| spellingShingle | A global dataset of tree hydraulic and structural traits imputed from phylogenetic relationships. Knighton, James Sanchez-Martinez, Pablo Anderegg, Leander Trees Phylogeny Plant Leaves Water Photosynthesis Xylem A global dataset of tree hydraulic and structural traits imputed from phylogenetic relationships. Knighton, James Sanchez-Martinez, Pablo Anderegg, Leander Trees Phylogeny Plant Leaves Water Photosynthesis Xylem We present a dataset of plant hydraulic and structural traits imputed for 55,779 tree species based on TRY plant trait dataset observations and phylogenetic relationships. We collected plant trait values for maximum stomatal conductance (gs), xylem pressure at 12%, 50%, and 88% conductance loss (P12, P50, P88), maximum observed rooting depth (rd), photosynthetic Water Use Efficiency (WUE), maximum plant height (height), Specific Leaf Area (SLA), and leaf Nitrogen content (LeafN). We demonstrated that each of these traits exhibited remarkably large phylogenetic signals across all land plants. Based on the strength of this signal we then developed random forest (RF) models trained on TRY trait data to impute the traits of previously unstudied tree species using Phylogenetic Eigenvector Maps. We quantified imputed trait uncertainty by fitting RF model test dataset residuals to skew exponential power distributions accounting for heteroscedasticity, demonstrating encouraging lack of biases in the imputed dataset. The resulting dataset of imputed trait values can support global analyses of plant trait variations and species-level parameterization of earth systems models. |
| title | A global dataset of tree hydraulic and structural traits imputed from phylogenetic relationships. |
| topic | Trees Phylogeny Plant Leaves Water Photosynthesis Xylem |
| url | https://pubmed.ncbi.nlm.nih.gov/39695137/ |