Modeling natural mortality for different plant densities in dendroenergetic trials
Mortality was modelled for three species (Acacia melanoxylon, Eucalyptus camaldulensis, Eucalyptus nitens) at three plantation densities (5000, 7500, and 10000 trees ha-1) in an trial of biomass production for purposes of dendroenergetic. One modelling based on individual tree level and two mortalit...
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| Formato: | Online |
| Lenguaje: | eng |
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Facultad de Ciencias Agrarias-UNCuyo
2021
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| Acceso en línea: | https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/3494 |
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I11-R107article-3494 |
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Universidad Nacional de Cuyo |
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Revistas en línea |
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Revistas en línea |
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Revista de la Facultad de Ciencias Agrarias |
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Revista de la Facultad de Ciencias Agrarias |
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I-11 |
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R-107 |
| language |
eng |
| format |
Online |
| author |
Sandoval, Simon Acuña, Eduardo Cancino, Jorge Rubilar, Rafael |
| spellingShingle |
Sandoval, Simon Acuña, Eduardo Cancino, Jorge Rubilar, Rafael Modeling natural mortality for different plant densities in dendroenergetic trials Modelos de probabilidad de supervivencia ecuaciones en diferencia tasa de mortalidad relativa dendroenergía Survival probability models difference equations relative mortality rate dendroenergetic |
| author_facet |
Sandoval, Simon Acuña, Eduardo Cancino, Jorge Rubilar, Rafael |
| author_sort |
Sandoval, Simon |
| title |
Modeling natural mortality for different plant densities in dendroenergetic trials |
| title_short |
Modeling natural mortality for different plant densities in dendroenergetic trials |
| title_full |
Modeling natural mortality for different plant densities in dendroenergetic trials |
| title_fullStr |
Modeling natural mortality for different plant densities in dendroenergetic trials |
| title_full_unstemmed |
Modeling natural mortality for different plant densities in dendroenergetic trials |
| title_sort |
modeling natural mortality for different plant densities in dendroenergetic trials |
| description |
Mortality was modelled for three species (Acacia melanoxylon, Eucalyptus camaldulensis, Eucalyptus nitens) at three plantation densities (5000, 7500, and 10000 trees ha-1) in an trial of biomass production for purposes of dendroenergetic. One modelling based on individual tree level and two mortality modelling alternatives were evaluated: four survival probability equations and eight difference equations. The individual tree survival modelling considered a logistic model, is a linear combination of variables to individual tree at current time and the previous time as estimator, being the main variables the variation of the competition index and the variation of basal area growth between the current growth period and the previous growth period. The survival probability alternative used state variables of the stand (age, dominant height, average square diameter) as predictors, whereas the difference equations were adjusted according to age-based changes only. The models to stand levels showed better result than individual tree models, and in general, the mortality models based on difference equations presented better indicators of precision and parsimony. The rate of relative mortality was constant, i.e., (dN/dE)/N, and varied between species, revealing greater mortality, consecutively, in E. nitens, A. melanoxylon, and E. camaldulensis. Although mortality tended to be higher at greater plantation densities, stand density did not significantly affect the parameters of the adjusted models.
Highlights
The mortality stand level models showed better results than the individual tree models for dendroenergetic crops, and in general, the mortality models based on difference equations presented better precision indicators and parsimony.
The survival probability alternative involved state variables of the stand like age, dominant height, and average square diameter as predictors, while the difference equations were fitted according to age-based changes only.
Mortality tended to be higher at greater plantation densities, however stand density did not significantly affect the parameters of the mortality equations.
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| publisher |
Facultad de Ciencias Agrarias-UNCuyo |
| publishDate |
2021 |
| url |
https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/3494 |
| topic |
Modelos de probabilidad de supervivencia ecuaciones en diferencia tasa de mortalidad relativa dendroenergía Survival probability models difference equations relative mortality rate dendroenergetic |
| topic_facet |
Modelos de probabilidad de supervivencia ecuaciones en diferencia tasa de mortalidad relativa dendroenergía Survival probability models difference equations relative mortality rate dendroenergetic |
| work_keys_str_mv |
AT sandovalsimon modelingnaturalmortalityfordifferentplantdensitiesindendroenergetictrials AT acunaeduardo modelingnaturalmortalityfordifferentplantdensitiesindendroenergetictrials AT cancinojorge modelingnaturalmortalityfordifferentplantdensitiesindendroenergetictrials AT rubilarrafael modelingnaturalmortalityfordifferentplantdensitiesindendroenergetictrials |
| _version_ |
1800220921015828480 |
| spelling |
I11-R107article-34942022-02-16T18:25:29Z Modeling natural mortality for different plant densities in dendroenergetic trials Modeling natural mortality for different plant densities in dendroenergetic trials Sandoval, Simon Acuña, Eduardo Cancino, Jorge Rubilar, Rafael Modelos de probabilidad de supervivencia ecuaciones en diferencia tasa de mortalidad relativa dendroenergía Survival probability models difference equations relative mortality rate dendroenergetic Mortality was modelled for three species (Acacia melanoxylon, Eucalyptus camaldulensis, Eucalyptus nitens) at three plantation densities (5000, 7500, and 10000 trees ha-1) in an trial of biomass production for purposes of dendroenergetic. One modelling based on individual tree level and two mortality modelling alternatives were evaluated: four survival probability equations and eight difference equations. The individual tree survival modelling considered a logistic model, is a linear combination of variables to individual tree at current time and the previous time as estimator, being the main variables the variation of the competition index and the variation of basal area growth between the current growth period and the previous growth period. The survival probability alternative used state variables of the stand (age, dominant height, average square diameter) as predictors, whereas the difference equations were adjusted according to age-based changes only. The models to stand levels showed better result than individual tree models, and in general, the mortality models based on difference equations presented better indicators of precision and parsimony. The rate of relative mortality was constant, i.e., (dN/dE)/N, and varied between species, revealing greater mortality, consecutively, in E. nitens, A. melanoxylon, and E. camaldulensis. Although mortality tended to be higher at greater plantation densities, stand density did not significantly affect the parameters of the adjusted models. Highlights The mortality stand level models showed better results than the individual tree models for dendroenergetic crops, and in general, the mortality models based on difference equations presented better precision indicators and parsimony. The survival probability alternative involved state variables of the stand like age, dominant height, and average square diameter as predictors, while the difference equations were fitted according to age-based changes only. Mortality tended to be higher at greater plantation densities, however stand density did not significantly affect the parameters of the mortality equations. Mortality was modelled for three species (Acacia melanoxylon, Eucalyptus camaldulensis, Eucalyptus nitens) at three plantation densities (5000, 7500, and 10000 trees ha-1) in an trial of biomass production for purposes of dendroenergetic. One modelling based on individual tree level and two mortality modelling alternatives were evaluated: four survival probability equations and eight difference equations. The individual tree survival modelling considered a logistic model, is a linear combination of variables to individual tree at current time and the previous time as estimator, being the main variables the variation of the competition index and the variation of basal area growth between the current growth period and the previous growth period. The survival probability alternative used state variables of the stand (age, dominant height, average square diameter) as predictors, whereas the difference equations were adjusted according to age-based changes only. The models to stand levels showed better result than individual tree models, and in general, the mortality models based on difference equations presented better indicators of precision and parsimony. The rate of relative mortality was constant, i.e., (dN/dE)/N, and varied between species, revealing greater mortality, consecutively, in E. nitens, A. melanoxylon, and E. camaldulensis. Although mortality tended to be higher at greater plantation densities, stand density did not significantly affect the parameters of the adjusted models. Highlights The mortality stand level models showed better results than the individual tree models for dendroenergetic crops, and in general, the mortality models based on difference equations presented better precision indicators and parsimony. The survival probability alternative involved state variables of the stand like age, dominant height, and average square diameter as predictors, while the difference equations were fitted according to age-based changes only. Mortality tended to be higher at greater plantation densities, however stand density did not significantly affect the parameters of the mortality equations. Facultad de Ciencias Agrarias-UNCuyo 2021-12-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/3494 10.48162/rev.39.048 Revista de la Facultad de Ciencias Agrarias UNCuyo; Vol. 53 No. 2 (2021): July-December; 143-156 Revista de la Facultad de Ciencias Agrarias UNCuyo; Vol. 53 Núm. 2 (2021): Julio-Diciembre; 143-156 1853-8665 0370-4661 eng https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/3494/3921 Derechos de autor 2018 Revista de la Facultad de Ciencias Agrarias UNCuyo https://creativecommons.org/licenses/by-nc-sa/3.0/deed.es |
