A growth and yield projection system for a tropical rainforest in the Central Amazon, Brazil
The aim of this study was to develop and apply an implicit yield model based on the Weibull probability density function for the predictions of yield by diameter class for a logged tropical rainforest located in the center of Amazon. The study area is located in the Tropical Forest Experimental Stat...
| Autor principal: | Nascimento, Rodrigo Geroni Mendes |
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| Outros Autores: | Machado, Sebastião do Amaral, Figueiredo Filho, Afonso, Higuchi, Niro |
| Grau: | Artigo |
| Idioma: | English |
| Publicado em: |
Forest Ecology and Management
2020
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| Assuntos: | |
| Acesso em linha: |
https://repositorio.inpa.gov.br/handle/1/17595 |
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oai:repositorio:1-17595 |
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oai:repositorio:1-17595 A growth and yield projection system for a tropical rainforest in the Central Amazon, Brazil Nascimento, Rodrigo Geroni Mendes Machado, Sebastião do Amaral Figueiredo Filho, Afonso Higuchi, Niro Computer Simulation Method Of Moments Probability Density Function Tropics Weibull Distribution Diameter Distributions Experimental Stations Growth Simulation Kolmogorov-smirnov Test Quadratic Mean Diameter Size Class Structural Characteristics Tropical Rain Forest Growth And Yield Forestry Abundance Basal Area Diameter Forest Inventory Forest Management Forestry Modeling Growth Modeling Growth Rate Prediction Rainforest Size Tropical Forest Weibull Theory Yield Probability Density Function Tropical Region Yield Response Growth Simulation Statistical Distribution Tropics Amazonas Brasil Manaus Amazon River The aim of this study was to develop and apply an implicit yield model based on the Weibull probability density function for the predictions of yield by diameter class for a logged tropical rainforest located in the center of Amazon. The study area is located in the Tropical Forest Experimental Station, 90. km from the urban center of Manaus, AM, Brazil. The data came from 12 permanent 1. ha plots, logged at three levels of basal area removal intensities. In each plot all individuals with DBH. ≥. 10. cm between 1990 and 2009 were measured annually. Functions were used to describe the dynamics of tree abundance (recruitment and mortality), basal area, summed diameters per hectare, and a new statistic for classification of forest yield, in order to estimate the sample moments of minimum, average and quadratic mean diameter in 2009. The Weibull diameter distribution was fitted using the method of moments and validated by data collected in 2009. The inclusion of variables that reflect the productive potential in the proposed model facilitates the evaluation of forests that have undergone changes in its structural characteristics in the different sites. The use of an alternative technique for classification led to a better understanding of the management regimes applied to the forests under analysis. The proposed model proved efficient by the Kolmogorov-Smirnov test, and thus may be used in updating inventory statistics, calculations of annual cut and in planning forest by companies that work in uneven aged and mixed forests in different sites of the Amazon. © 2014 Elsevier B.V. 2020-06-15T21:48:26Z 2020-06-15T21:48:26Z 2014 Artigo https://repositorio.inpa.gov.br/handle/1/17595 10.1016/j.foreco.2014.05.007 en Volume 327, Pags. 201-208 Restrito Forest Ecology and Management |
| institution |
Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional |
| collection |
INPA-RI |
| language |
English |
| topic |
Computer Simulation Method Of Moments Probability Density Function Tropics Weibull Distribution Diameter Distributions Experimental Stations Growth Simulation Kolmogorov-smirnov Test Quadratic Mean Diameter Size Class Structural Characteristics Tropical Rain Forest Growth And Yield Forestry Abundance Basal Area Diameter Forest Inventory Forest Management Forestry Modeling Growth Modeling Growth Rate Prediction Rainforest Size Tropical Forest Weibull Theory Yield Probability Density Function Tropical Region Yield Response Growth Simulation Statistical Distribution Tropics Amazonas Brasil Manaus Amazon River |
| spellingShingle |
Computer Simulation Method Of Moments Probability Density Function Tropics Weibull Distribution Diameter Distributions Experimental Stations Growth Simulation Kolmogorov-smirnov Test Quadratic Mean Diameter Size Class Structural Characteristics Tropical Rain Forest Growth And Yield Forestry Abundance Basal Area Diameter Forest Inventory Forest Management Forestry Modeling Growth Modeling Growth Rate Prediction Rainforest Size Tropical Forest Weibull Theory Yield Probability Density Function Tropical Region Yield Response Growth Simulation Statistical Distribution Tropics Amazonas Brasil Manaus Amazon River Nascimento, Rodrigo Geroni Mendes A growth and yield projection system for a tropical rainforest in the Central Amazon, Brazil |
| topic_facet |
Computer Simulation Method Of Moments Probability Density Function Tropics Weibull Distribution Diameter Distributions Experimental Stations Growth Simulation Kolmogorov-smirnov Test Quadratic Mean Diameter Size Class Structural Characteristics Tropical Rain Forest Growth And Yield Forestry Abundance Basal Area Diameter Forest Inventory Forest Management Forestry Modeling Growth Modeling Growth Rate Prediction Rainforest Size Tropical Forest Weibull Theory Yield Probability Density Function Tropical Region Yield Response Growth Simulation Statistical Distribution Tropics Amazonas Brasil Manaus Amazon River |
| description |
The aim of this study was to develop and apply an implicit yield model based on the Weibull probability density function for the predictions of yield by diameter class for a logged tropical rainforest located in the center of Amazon. The study area is located in the Tropical Forest Experimental Station, 90. km from the urban center of Manaus, AM, Brazil. The data came from 12 permanent 1. ha plots, logged at three levels of basal area removal intensities. In each plot all individuals with DBH. ≥. 10. cm between 1990 and 2009 were measured annually. Functions were used to describe the dynamics of tree abundance (recruitment and mortality), basal area, summed diameters per hectare, and a new statistic for classification of forest yield, in order to estimate the sample moments of minimum, average and quadratic mean diameter in 2009. The Weibull diameter distribution was fitted using the method of moments and validated by data collected in 2009. The inclusion of variables that reflect the productive potential in the proposed model facilitates the evaluation of forests that have undergone changes in its structural characteristics in the different sites. The use of an alternative technique for classification led to a better understanding of the management regimes applied to the forests under analysis. The proposed model proved efficient by the Kolmogorov-Smirnov test, and thus may be used in updating inventory statistics, calculations of annual cut and in planning forest by companies that work in uneven aged and mixed forests in different sites of the Amazon. © 2014 Elsevier B.V. |
| format |
Artigo |
| author |
Nascimento, Rodrigo Geroni Mendes |
| author2 |
Machado, Sebastião do Amaral Figueiredo Filho, Afonso Higuchi, Niro |
| author2Str |
Machado, Sebastião do Amaral Figueiredo Filho, Afonso Higuchi, Niro |
| title |
A growth and yield projection system for a tropical rainforest in the Central Amazon, Brazil |
| title_short |
A growth and yield projection system for a tropical rainforest in the Central Amazon, Brazil |
| title_full |
A growth and yield projection system for a tropical rainforest in the Central Amazon, Brazil |
| title_fullStr |
A growth and yield projection system for a tropical rainforest in the Central Amazon, Brazil |
| title_full_unstemmed |
A growth and yield projection system for a tropical rainforest in the Central Amazon, Brazil |
| title_sort |
growth and yield projection system for a tropical rainforest in the central amazon, brazil |
| publisher |
Forest Ecology and Management |
| publishDate |
2020 |
| url |
https://repositorio.inpa.gov.br/handle/1/17595 |
| _version_ |
1787142105700761600 |
| score |
11.755432 |