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 research...
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| Veröffentlicht in: | Forests 2022-05, Vol.13 (5), p.649 |
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| creator | López-Martínez, Jorge Omar Vargas-Larreta, Benedicto González, Edgar J. Corral-Rivas, José Javier Aguirre-Calderón, Oscar A. Treviño-Garza, Eduardo J. De los Santos-Posadas, Héctor M. Martínez-Salvador, Martin Zamudio-Sánchez, Francisco J. Aguirre-Calderón, Cristóbal Gerardo |
| description | 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. |
| doi_str_mv | 10.3390/f13050649 |
| format | Article |
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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.</description><identifier>ISSN: 1999-4907</identifier><identifier>EISSN: 1999-4907</identifier><identifier>DOI: 10.3390/f13050649</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Bias ; Biometrics ; Brochures ; Diameters ; Dissertations & theses ; Documents ; Forest management ; Forests ; Height ; Mathematical models ; Metadata ; Search engines ; Site index ; State-of-the-art reviews ; Systematic review ; Timber ; Trees ; Variables</subject><ispartof>Forests, 2022-05, Vol.13 (5), p.649</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c292t-8cf2c2b60fc85a96fd5a78522381dcab1cdb90c537265ef691003274f3f4cc7b3</citedby><cites>FETCH-LOGICAL-c292t-8cf2c2b60fc85a96fd5a78522381dcab1cdb90c537265ef691003274f3f4cc7b3</cites><orcidid>0000-0002-2679-5070 ; 0000-0003-1176-7330 ; 0000-0001-9113-1070 ; 0000-0001-7903-8498 ; 0000-0002-2851-7517</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27902,27903</link.rule.ids></links><search><creatorcontrib>López-Martínez, Jorge Omar</creatorcontrib><creatorcontrib>Vargas-Larreta, Benedicto</creatorcontrib><creatorcontrib>González, Edgar J.</creatorcontrib><creatorcontrib>Corral-Rivas, José Javier</creatorcontrib><creatorcontrib>Aguirre-Calderón, Oscar A.</creatorcontrib><creatorcontrib>Treviño-Garza, Eduardo J.</creatorcontrib><creatorcontrib>De los Santos-Posadas, Héctor M.</creatorcontrib><creatorcontrib>Martínez-Salvador, Martin</creatorcontrib><creatorcontrib>Zamudio-Sánchez, Francisco J.</creatorcontrib><creatorcontrib>Aguirre-Calderón, Cristóbal Gerardo</creatorcontrib><title>Forest Biometric Systems in Mexico: A Systematic Review of Available Models</title><title>Forests</title><description>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. 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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. 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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. 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| subjects | Bias Biometrics Brochures Diameters Dissertations & theses Documents Forest management Forests Height Mathematical models Metadata Search engines Site index State-of-the-art reviews Systematic review Timber Trees Variables |
| title | Forest Biometric Systems in Mexico: A Systematic Review of Available Models |
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