Global maps and factors driving forest foliar elemental composition
Consistent information on the current elemental composition of vegetation at global scale and the variables that determine it is lacking. - To fill this gap, we gathered a total of 30 912 georeferenced records on woody plants foliar concentrations of nitrogen (N), phosphorus (P) and potassium (K) fr...
| Autores: | , , , , , , , , , , |
|---|---|
| Formato: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Recursos: | Universitat Autònoma de Barcelona |
| Repositorio: | Dipòsit Digital de Documents de la UAB |
| Idioma: | inglés |
| OAI Identifier: | oai:ddd.uab.cat:299968 |
| Acesso em linha: | https://ddd.uab.cat/record/299968 https://dx.doi.org/urn:doi:10.1111/nph.17771 |
| Access Level: | acceso abierto |
| Palavra-chave: | Climate change Global map Leaf neural networks Nitrogen Phosphorus Potassium |
| Resumo: | Consistent information on the current elemental composition of vegetation at global scale and the variables that determine it is lacking. - To fill this gap, we gathered a total of 30 912 georeferenced records on woody plants foliar concentrations of nitrogen (N), phosphorus (P) and potassium (K) from published databases, and produced global maps of foliar N, P and K concentrations for woody plants using neural networks at a resolution of 1 km2. We used data for climate, atmospheric deposition, soil and morphoclimatic groups to train the neural networks. - Foliar N, P and K do not follow clear global latitudinal patterns but are consistent with the hypothesis of soil substrate age. We additionally built generalized linear mixed models to investigate the evolutionary history effect together with the effects of environmental effects. In this comparison, evolutionary history effects explained most of the variability in all cases (mostly. |
|---|