Abstract

VASQUEZ-BAUTISTA, Nehemías; ZAMUDIO-SANCHEZ, Francisco J.; ALVARADO-SEGURA, Arturo A.  and  ROMO-LOZANO, José L.. Forest biometric models in Hidalgo, Mexico: state of the art. Rev. Chapingo ser. cienc. for. ambient [online]. 2016, vol.22, n.3, pp.351-367. ISSN 2007-4018.  https://doi.org/10.5154/r.rchscfa.2015.09.043.

Historically, logging has been the main reason for encouraging forest research. Since 2000, searching information about carbon capture and content has increased through the use of biometric models and remote sensing technology. The aim of this paper was to compile, systematize, and analyze scientific and technological reports related to biometric models that have been used in forest management in a region of central Mexico (Hidalgo). A total of 32 research studies were published from 1976 to 2015 reporting 289 models. These researches emphasize the use of growth, volume, biomass, carbon, site index, density, and mortality models. The growth models have been the most studied models while biomass and carbon models have consistently increased since 2007. Pinus has been the most studied genus, but research on Quercus was practically not found. Five species do not have fitted models, despite their economic importance: Pinus leiophylla, P. michoacana, P. oocarpa, Cupressus lindleyi, and Arbutus xalapensis. The reliability of all published models is based in statistical criteria, but it has not been reported if they have satisfied final user’s demand.

Keywords : Volume; logging; biomass; carbon..

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