Forest biometric systems in Mexico a systematic review of available models
Biometric systems are the basis of forest management and consist of a set of equations that describe the relationships between forest attributes and dendrometric variables. A systematic review of the state of the art of biometric systems in Mexico was carried out by a Mexican consortium (10 researchers), covering a period of 50 years ca (1970–2019), using the main scientific literature delivered by a systematic search (WoS, Scopus, Scielo, Redalyc) and a targeted search (theses, technical reports, etc.). A single selection criterion was established for the inclusion of information in the analysis: the document had to present at least one of the equations of interest. We found 376 documents containing 2524 equations for volume (69%), diameter (11%), height (9%) and site index (11%). These equations were developed for forest species mainly from temperate regions (88%), such as pine (66%) and oak (9%). Consequently, the Mexican states with the highest number of equations were Durango (28%), Chihuahua (17%), Hidalgo (13%) and Oaxaca (8%). Although large, the number of equations identified concentrated on a relatively small number of models: Schumacher & Hall and Fang et al. for volume; Chapman-Richards and Schumacher for site index and diameter; and Chapman-Richards and the allometric equation for height. An analysis of model fit, measured through R², showed that, on average, the volume, diameter and site index models show high fit (R² = 0.96), although this pattern was more consistent in the volume models. Publication bias was evaluated by means of a funnel plot analysis, with no apparent bias identified. A limitation of our study is that the information obtained is not updated to the present year; however, the 50-year trends allow us to assume that no recent significant changes in the patterns exist. Finally, we highlight the need to assess the predictive ability of the models to ensure accurate estimates to support better forest management decisions.
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Subjects: | Ecosistemas forestales, Ordenación forestal, |
Online Access: | https://www.mdpi.com/1999-4907/13/5/649 |
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México |
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Ecosistemas forestales Ordenación forestal Ecosistemas forestales Ordenación forestal |
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Ecosistemas forestales Ordenación forestal Ecosistemas forestales Ordenación forestal López Martínez, Jorge Omar Doctor autor 12315 Vargas Larreta, Benedicto autor 15120 González, Edgar J. autor Corral Rivas, José Javier Doctor autor 15121 Aguirre Calderón, Oscar Alberto autor 15205 Treviño Garza, Eduardo Javier autor 15361 De los Santos Posada, Héctor Manuel autor 15210 Martínez Salvador, Martin autor Zamudio Sánchez, Francisco José autor 15362 Aguirre Calderón, Cristóbal Gerardo autor Forest biometric systems in Mexico a systematic review of available models |
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Biometric systems are the basis of forest management and consist of a set of equations that describe the relationships between forest attributes and dendrometric variables. A systematic review of the state of the art of biometric systems in Mexico was carried out by a Mexican consortium (10 researchers), covering a period of 50 years ca (1970–2019), using the main scientific literature delivered by a systematic search (WoS, Scopus, Scielo, Redalyc) and a targeted search (theses, technical reports, etc.). A single selection criterion was established for the inclusion of information in the analysis: the document had to present at least one of the equations of interest. We found 376 documents containing 2524 equations for volume (69%), diameter (11%), height (9%) and site index (11%). These equations were developed for forest species mainly from temperate regions (88%), such as pine (66%) and oak (9%). Consequently, the Mexican states with the highest number of equations were Durango (28%), Chihuahua (17%), Hidalgo (13%) and Oaxaca (8%). Although large, the number of equations identified concentrated on a relatively small number of models: Schumacher & Hall and Fang et al. for volume; Chapman-Richards and Schumacher for site index and diameter; and Chapman-Richards and the allometric equation for height. An analysis of model fit, measured through R², showed that, on average, the volume, diameter and site index models show high fit (R² = 0.96), although this pattern was more consistent in the volume models. Publication bias was evaluated by means of a funnel plot analysis, with no apparent bias identified. A limitation of our study is that the information obtained is not updated to the present year; however, the 50-year trends allow us to assume that no recent significant changes in the patterns exist. Finally, we highlight the need to assess the predictive ability of the models to ensure accurate estimates to support better forest management decisions. |
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Ecosistemas forestales Ordenación forestal |
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López Martínez, Jorge Omar Doctor autor 12315 Vargas Larreta, Benedicto autor 15120 González, Edgar J. autor Corral Rivas, José Javier Doctor autor 15121 Aguirre Calderón, Oscar Alberto autor 15205 Treviño Garza, Eduardo Javier autor 15361 De los Santos Posada, Héctor Manuel autor 15210 Martínez Salvador, Martin autor Zamudio Sánchez, Francisco José autor 15362 Aguirre Calderón, Cristóbal Gerardo autor |
author_facet |
López Martínez, Jorge Omar Doctor autor 12315 Vargas Larreta, Benedicto autor 15120 González, Edgar J. autor Corral Rivas, José Javier Doctor autor 15121 Aguirre Calderón, Oscar Alberto autor 15205 Treviño Garza, Eduardo Javier autor 15361 De los Santos Posada, Héctor Manuel autor 15210 Martínez Salvador, Martin autor Zamudio Sánchez, Francisco José autor 15362 Aguirre Calderón, Cristóbal Gerardo autor |
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López Martínez, Jorge Omar Doctor autor 12315 |
title |
Forest biometric systems in Mexico a systematic review of available models |
title_short |
Forest biometric systems in Mexico a systematic review of available models |
title_full |
Forest biometric systems in Mexico a systematic review of available models |
title_fullStr |
Forest biometric systems in Mexico a systematic review of available models |
title_full_unstemmed |
Forest biometric systems in Mexico a systematic review of available models |
title_sort |
forest biometric systems in mexico a systematic review of available models |
url |
https://www.mdpi.com/1999-4907/13/5/649 |
work_keys_str_mv |
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KOHA-OAI-ECOSUR:625842024-03-11T15:22:47ZForest biometric systems in Mexico a systematic review of available models López Martínez, Jorge Omar Doctor autor 12315 Vargas Larreta, Benedicto autor 15120 González, Edgar J. autor Corral Rivas, José Javier Doctor autor 15121 Aguirre Calderón, Oscar Alberto autor 15205 Treviño Garza, Eduardo Javier autor 15361 De los Santos Posada, Héctor Manuel autor 15210 Martínez Salvador, Martin autor Zamudio Sánchez, Francisco José autor 15362 Aguirre Calderón, Cristóbal Gerardo autor textengBiometric systems are the basis of forest management and consist of a set of equations that describe the relationships between forest attributes and dendrometric variables. A systematic review of the state of the art of biometric systems in Mexico was carried out by a Mexican consortium (10 researchers), covering a period of 50 years ca (1970–2019), using the main scientific literature delivered by a systematic search (WoS, Scopus, Scielo, Redalyc) and a targeted search (theses, technical reports, etc.). A single selection criterion was established for the inclusion of information in the analysis: the document had to present at least one of the equations of interest. We found 376 documents containing 2524 equations for volume (69%), diameter (11%), height (9%) and site index (11%). These equations were developed for forest species mainly from temperate regions (88%), such as pine (66%) and oak (9%). Consequently, the Mexican states with the highest number of equations were Durango (28%), Chihuahua (17%), Hidalgo (13%) and Oaxaca (8%). Although large, the number of equations identified concentrated on a relatively small number of models: Schumacher & Hall and Fang et al. for volume; Chapman-Richards and Schumacher for site index and diameter; and Chapman-Richards and the allometric equation for height. An analysis of model fit, measured through R², showed that, on average, the volume, diameter and site index models show high fit (R² = 0.96), although this pattern was more consistent in the volume models. Publication bias was evaluated by means of a funnel plot analysis, with no apparent bias identified. A limitation of our study is that the information obtained is not updated to the present year; however, the 50-year trends allow us to assume that no recent significant changes in the patterns exist. Finally, we highlight the need to assess the predictive ability of the models to ensure accurate estimates to support better forest management decisions.Biometric systems are the basis of forest management and consist of a set of equations that describe the relationships between forest attributes and dendrometric variables. A systematic review of the state of the art of biometric systems in Mexico was carried out by a Mexican consortium (10 researchers), covering a period of 50 years ca (1970–2019), using the main scientific literature delivered by a systematic search (WoS, Scopus, Scielo, Redalyc) and a targeted search (theses, technical reports, etc.). A single selection criterion was established for the inclusion of information in the analysis: the document had to present at least one of the equations of interest. We found 376 documents containing 2524 equations for volume (69%), diameter (11%), height (9%) and site index (11%). These equations were developed for forest species mainly from temperate regions (88%), such as pine (66%) and oak (9%). Consequently, the Mexican states with the highest number of equations were Durango (28%), Chihuahua (17%), Hidalgo (13%) and Oaxaca (8%). Although large, the number of equations identified concentrated on a relatively small number of models: Schumacher & Hall and Fang et al. for volume; Chapman-Richards and Schumacher for site index and diameter; and Chapman-Richards and the allometric equation for height. An analysis of model fit, measured through R², showed that, on average, the volume, diameter and site index models show high fit (R² = 0.96), although this pattern was more consistent in the volume models. Publication bias was evaluated by means of a funnel plot analysis, with no apparent bias identified. A limitation of our study is that the information obtained is not updated to the present year; however, the 50-year trends allow us to assume that no recent significant changes in the patterns exist. Finally, we highlight the need to assess the predictive ability of the models to ensure accurate estimates to support better forest management decisions.Ecosistemas forestalesOrdenación forestalForestshttps://www.mdpi.com/1999-4907/13/5/649Acceso en línea sin restricciones |