Abstract

POMPA-GARCIA, Marín et al. Kawí Tamiruyé: A permanent research forest plot in the Sierra Tarahumara. Rev. mex. de cienc. forestales [online]. 2024, vol.15, n.86, pp.123-143.  Epub Mar 03, 2025. ISSN 2007-1132.  https://doi.org/10.29298/rmcf.v15i86.1496.

Periodic and continuous monitoring is an appropriate strategy to identify information needs for the planning and management of forest resources. The aim of this work was to characterizes the dasometric and structural parameters of a permanent research plot in Northern Mexico. From a census-based methodology, 2 165 trees (n) were recorded in an area of 1.4 ha-1 and, through the application of various sampling schemes, dasometric variables, and diversity indices were estimated for comparison with the census of a reference plot. As result, we estimated the following dasometric measurements: Quadratic Mean Diameter (QMD)=12.16 cm, Crown Area (CA)=61.6 %, Reineke's Stand Density Index (SDI)=668 individuals, Basimetric Area (BA)=25.16 m2, Total Volume (Vol)=158.83 m3 ha-1, aboveground biomass (AGB)=142.78 Mg ha-1, and Carbon (C)=71.39 Mg ha-1. Ecologically, the species with the highest Importance Value Index (IVI) were P. engelmannii and J. deppeana (50.8 and 35 %, respectively). The Simpson's dominance index (δ)=0.39 and diversity (λ)=0.61 were low, as was the Shannon-Wiener index of diversity (H')=1.3, which is in agreement with the Margalef index (DMG)=1.04. The value of Pielou's evenness (J')=0.53 confirmed low abundance. Equidistant systematic sampling at 40 m was closer to the reference census, presenting lower values in the mean and variance estimators compared to the other sampling methods. This plot represents an important source of information for develop adaptative strategies in management portfolios to improve decision-making, in the face of forest stand dynamics. Although further studies on site size, inclusion of additive indices, and operational costs are required.

Keywords : Diversity indices; ecosystem structure; forest monitoring; permanent plots; sampling strategies; UAV monitoring.

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