Evaluation of modeling strategies for assessing self-thinning behavior and carrying capacity
| Primer Autor |
Salas-Eljatib, Christian
|
| Co-autores |
Weiskittel, Aaron R.
|
| Título |
Evaluation of modeling strategies for assessing self-thinning behavior and carrying capacity
|
| Editorial |
WILEY
|
| Revista |
ECOLOGY AND EVOLUTION
|
| Lenguaje |
en
|
| Resumen |
Self-thinning and site maximum carrying capacity are key concepts for understanding and predicting ecosystem dynamics as they represent the outcome of several fundamental ecological processes (e.g., mortality and growth). Relationships are often derived using alternative modeling strategies, depending on the statistical approach, model formulation, and underlying data with unclear implications of these various assumptions. In this analysis, the influence of contrasting modeling strategies for estimating the self-thinning relationship and maximum carrying capacity in long-term, permanent plot data (n = 130) from the mixed Nothofagus forests in southern Chile was assessed and compared. Seven contrasting modeling strategies were used including ordinary least squares, quantile, and nonlinear regression that were formulated based on static (no remeasurements) or dynamic data (with remeasurements). Statistically distinct differences among these seven approaches were identified with mean maximum carrying capacity ranging from 1,050 to 1,912 stems/ha depending on the approach. The population-level static approach based on quantile regression produced an estimate closest to the overall mean with site-level carrying capacity depending on tree species diversity and climate. Synthesis and applications. Overall, the findings highlight strong variability within and between contrasting methods of determining self-thinning and site maximum carry capacity, which may influence ecological inferences.
|
| Tipo de Recurso |
Artículo original
|
| Description |
Fondo Nacional de Desarrollo Cientifico y Tecnologico (FONDECYT), Grant/Award Number: 1151495
Fondo Nacional de Desarrollo Científico y Tecnológico (FONDECYT), Número de subvención/adjudicación: 1151495
|
| doi |
10.1002/ece3.4525
|
| Formato Recurso |
pdf
|
| Palabras Claves |
competition# density trajectories# density-dependent# mixed-effects models# mortality# negative binomial model# quantile regression
|
| Ubicación del archivo |
http://dx.doi.org/10.1002/ece3.4525
|
| Categoría OCDE |
Ecology# Evolutionary Biology
|
| Materias |
competencia# trayectorias de densidad# dependiente de la densidad# modelos de efectos mixtos# mortalidad# modelo binomial negativo# regresión cuantil
|
| Disciplinas de la OCDE |
Silvicultura
Ecología
Estadísticas y Probabilidades
|
| Id de Web of Science |
WOS:000451611000012
|
| Título de la cita (Recomendado-único) |
Evaluation of modeling strategies for assessing self-thinning behavior and carrying capacity
|
| Identificador del recurso (Mandatado-único) |
Artículo original
|
| Versión del recurso (Recomendado-único) |
version publicada
|
| Editorial |
WILEY
|
| Revista/Libro |
ECOLOGY AND EVOLUTION
|
| Categoría WOS |
Ecología# Biología Evolutiva
|
| ISSN |
2045-7758
|
| Idioma |
en
|
| Referencia del Financiador (Mandatado si es aplicable-repetible) |
ANID FONDECYT 1151495
|
| Descripción |
Fondo Nacional de Desarrollo Cientifico y Tecnologico (FONDECYT), Grant/Award Number: 1151495
|
| Formato |
pdf
|
| Tipo de ruta |
hibrida#verde
|
| Access Rights |
acceso abierto
|
| Derechos de acceso |
acceso abierto
|
| License |
CC BY 4.0
|
| Página de inicio (Recomendado-único) |
182
|
| Página final (Recomendado-único) |
186
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