Nothofagus pumilio and N. antarctica: The Most Widely Distributed and Cold-Tolerant Southern Beeches in Patagonia

Soliani, Carolina; Marchelli, Paula; Mondino, Victor Alejandro; Pastorino, Mario J.; Mattera, M. Gabriela; Gallo, Leonardo; Aparicio, Alejandro; Torres, Ana D.; Tejera, Luis; Casares, Teresa Schinelli

doi:10.1007/978-3-030-56462-9_5

Cited by 1 publication

(1 citation statement)

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“…In the second proposals, forests with similar species composition will be included in the same category, e.g. monodominant N. antarctica or N. pumilio forests growing from Tierra del Fuego (56° SL) to Neuquén provinces (33° SL) [81,82]. In our analyses, the different forest regions presented different trends according a latitude and climate gradients.…”

Section: Discussionmentioning

confidence: 99%

Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy-Cover Composition by Tree Species

Martínez Pastur,

Loto,

Rodríguez-Souilla

et al. 2024

Preprint

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Modern forestry systems are based upon typologies of forest types (FT). Many proposals were developed in Argentina, but without following unified criteria. The objective was to compare different approaches based on (i) functional forests (phenoclusters), and (ii) forest canopy-cover composition by tree species. We employed data of National Forest Inventories, forest models and climate data, comparing the proposals using univariate analyses. We test the performance of phenoclusters to differentiate the variability of native forests (proxy: forest structure), biodiversity (proxy: indicator species) and environment (proxies: soil carbon stock, elevation, climate). We proposed a simple forest type classification methodology based on species composition, considering basal area of tree species. Finally, we compared the performance of both proposals. In regions where monospecific forests are predominant, the classifications based on forest canopy-cover composition are feasible, but phenoclusters allowing to increase the complexity at landscape level. In those regions were predominant multi-specific stands, the classifications based on forest canopy-cover composition are useless, and phenoclusters allowing to decrease the complexity at landscape level. These results allowing to harmonize national FT classifications by using criteria and indicators to achieve sustainable forest management and conservation proposals.

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Section: Discussionmentioning

confidence: 99%