Understanding and modelling the dynamics of data point clouds of relative growth rate and plant size

Primer Autor
Pommerening, Arne
Co-autores
Trincado, Guillermo
Salas-Eljatib, Christian
Burkhart, Harold
Título
Understanding and modelling the dynamics of data point clouds of relative growth rate and plant size
Editorial
ELSEVIER
Revista
FOREST ECOLOGY AND MANAGEMENT
Lenguaje
en
Resumen
Relative growth rates (RGR) have both intrigued and irritated many plant scientists since they were proposed as characteristics of growth performance in the early 20th century. Particularly, the common trend of RGR to decrease with increasing size, also referred to as ontogenetic drift, has given rise to many debates and much criticism. In this study, we showed that, with plants that germinated at the same time, it is common to obtain a linear relationship between RGR and size for each survey year which - when pulled together in one graph - eventually form a system of cascading elliptical point clouds over time. This system of data point clouds reflects the well-known exponential decline of RGR with size, the aforementioned ontogenetic drift. Using 12 individual -tree time series of Pinus radiata in Chile we studied the ontogenetic drift based on a new spatially explicit explanatory model allowing the reconstruction of individual-tree RGR trajectories. Favourable environmental conditions enforced the RGR decline over size and accelerated growth dynamics. Less favourable environmental conditions reduced the strength of the ontogenetic drift and slowed down growth. We also found that the model parameter estimates were more precise the stronger the RGR decline over size. Both, interpretable model pa-rameters and evaluation characteristics, described the ontogenetic drift well. Interestingly, the slopes of the semi -major axes of the RGR-size data ellipses changed signs precisely at the time when smaller trees ceased to dominate population growth and larger trees started to contribute disproportionately to the overall growth processes.
Fecha Publicación
2023
Tipo de Recurso
artículo original
Derecho de Acceso
acceso abierto
doi
10.1016/j.foreco.2022.120652
Formato Recurso
PDF
Palabras Claves
Plant development and life-history traits
Ontogenetic drift
Elliptic data clouds
Spatially-explicit model
Growth analysis
Growth dominance
Ubicación del archivo
Categoría OCDE
Silvicultura
Materias
Desarrollo de plantas y rasgos de historia de vida
Deriva ontogenética
Nubes de datos elípticas
Modelo espacialmente explícito
Análisis de crecimiento
Dominio del crecimiento
Ubicación geográfica
Chile
Identificador del recurso (Mandatado-único)
artículo original
Versión del recurso (Recomendado-único)
versión publicada
License
CC BY 4.0
Condición de la licencia (Recomendado-repetible)
CC BY 4.0
Derechos de acceso
acceso abierto
Access Rights
acceso abierto
Id de Web of Science
WOS:000896950900008
ISSN
0378-1127
Tipo de ruta
Verde# Hibrido
Categoría WOS
Silvicultura
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