The relative importance of soil properties and regional climate as drivers of productivity in southern Patagonia’s Nothofagus antarctica forests

Soil texture and temperature-related variables were the variables that most contributed to Nothofagus antarctica forest height in southern Patagonia. This information may be useful for improving forest management, for instance related to the establishment of silvopastoral systems or selection of sui...

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Bibliographic Details
Published in:Annals of Forest Science
Main Authors: Bahamonde, Héctor Alejandro, Martínez Pastur, Guillermo José, Lencinas, María Vanessa, Soler Esteban, Rosina Matilde, Rosas, Yamina Micaela, Ladd, Brenton, Duarte Guardia, Sandra, Peri, Pablo Luis
Format: Article in Journal/Newspaper
Language:English
Published: 2018
Subjects:
Nothofagus
Clima
Productividad
Bosques
Soil Properties
Climate
Productivity
Forests
Nothofagus antarctica
Propiedades del Suelo
Región Patagónica
Antarc*
Antarctica
Online Access:https://hdl.handle.net/20.500.12123/2341
https://link.springer.com/article/10.1007/s13595-018-0725-7
https://doi.org/10.1007/s13595-018-0725-7
Description
Summary:Soil texture and temperature-related variables were the variables that most contributed to Nothofagus antarctica forest height in southern Patagonia. This information may be useful for improving forest management, for instance related to the establishment of silvopastoral systems or selection of suitable sites for forest reforestation in southern Patagonia. Context: Changes in forest productivity result from a combination of climate, topography, and soil properties. Aims: The relative importance of edaphic and climatic variables as drivers of productivity in Nothofagus antarctica forests of southern Patagonia, Argentina, was evaluated. Methods: A total of 48 mature stands of N. antarctica were selected. For each study site, we measured the height of three mature dominant trees, as an indicator of productivity. Seven soil, five spatial, and 19 climatic features were determined and related to forest productivity. Through partial least squares regression analyses, we obtained a model that was an effective predictor of height of mature dominant trees in the regional data set presented here. Results: The four variables that most contributed to the predictive power of the model were altitude, temperature annual range, soil texture, and temperature seasonality. Conclusion: The information gathered in this study suggested that the incidence of the soil and temperature-related variables on the height of dominant trees, at the regionally evaluated scale, was higher than the effect of water-related variables. EEA Santa Cruz Fil: Bahamonde, Héctor Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Universidad Nacional de la Patagonia Austral; Argentina Fil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Centro Austral de Investigaciones Cientificas; Argentina Fil: Lencinas, María Vanessa. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Centro Austral de ...

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