UAV-LIDAR and RGB imagery reveal intraspecific variability of morphometric traits in two Mediterranean pines
We evaluate the potential of LiDAR and RGB imagery obtained through unmanned aerial vehi-cles (UAVs) as high-throughput phenotyping tools for the characterization of tree growth and crown structure in two representative Mediterranean pine species (P. nigra and P. halepensis). Both UAV-based methods...
| Autores: | , , , , , , |
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| Formato: | conjunto de datos |
| Fecha de publicación: | 2022 |
| País: | España |
| Recursos: | Consorci de Serveis Universitaris de Catalunya (CSUC) |
| Repositorio: | CORA.Repositori de Dades de Recerca |
| OAI Identifier: | oai:dnet:cora.rdr____::3c81b9ad660a22729dec77a05a1457bc |
| Acesso em linha: | https://doi.org/10.34810/DATA561 |
| Access Level: | acceso abierto |
| Palavra-chave: | Earth and Environmental Sciences Pinus halepensis Pinus nigra Crown Acclimatization Intraspecific variability LiDAR Remote sensing RGB |
| Resumo: | We evaluate the potential of LiDAR and RGB imagery obtained through unmanned aerial vehi-cles (UAVs) as high-throughput phenotyping tools for the characterization of tree growth and crown structure in two representative Mediterranean pine species (P. nigra and P. halepensis). Both UAV-based methods were then tested for their accuracy to detect genotypic differentiation among Pinus nigra and Pinus halepensis populations and their subspecies (black pine) or ecotypes (Aleppo pine). We investigated the possible relation between intraspecific variation of morphometric traits and life-history strategies of populations by correlating traits to climate factors at origin of pop-ulations. Finally, we investigated which traits distinguished better among black pine subspecies or Aleppo pine ecotypes. The data included raw values of morphometric traits derived from LiDAR and RGB-UAVs and measured in situ, populations means of statistically relevant morphometric traits and climate variables at site, and subspecies (P. nigra) and ecotypes (P. halepensis) means of statistically significant morphometric traits. |
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