The relative importance of soil properties and regional climate as drivers of productivity in southern Patagonia’s Nothofagus antarctica forests
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The relative importance of soil properties and regional climate as drivers of productivity in southern Patagonia’s Nothofagus antarctica forests. / Bahamonde, Héctor A.; Pastur, Guillermo Martínez; Lencinas, María V.; Soler, Rosina; Rosas, Yamina M.; Ladd, Brenton; Guardia, Sandra Duarte; Peri, Pablo L.
In: Annals of Forest Science, Vol. 75, No. 2, 45, 2018.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - The relative importance of soil properties and regional climate as drivers of productivity in southern Patagonia’s Nothofagus antarctica forests
AU - Bahamonde, Héctor A.
AU - Pastur, Guillermo Martínez
AU - Lencinas, María V.
AU - Soler, Rosina
AU - Rosas, Yamina M.
AU - Ladd, Brenton
AU - Guardia, Sandra Duarte
AU - Peri, Pablo L.
N1 - Funding Information: This research has been partially financed by Instituto Nacional de Tecnología Agropecuaria (INTA) and Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina. Funding Information: Data availability This study was financed by CONICET (Argentinean National Research Council) project. According to their specifications, at the end of the project and after Publisher Copyright: © 2018, INRA and Springer-Verlag France SAS, part of Springer Nature.
PY - 2018
Y1 - 2018
N2 - Key message: Soil texture and temperature-related variables were the variables that most contributed toNothofagus antarcticaforest 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.
AB - Key message: Soil texture and temperature-related variables were the variables that most contributed toNothofagus antarcticaforest 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.
KW - Carbon sequestration
KW - Native forest
KW - Nothofagus antarctica
KW - South America
KW - Trees
KW - ñire
U2 - 10.1007/s13595-018-0725-7
DO - 10.1007/s13595-018-0725-7
M3 - Journal article
AN - SCOPUS:85044725054
VL - 75
JO - Annals of Forest Science
JF - Annals of Forest Science
SN - 1286-4560
IS - 2
M1 - 45
ER -
ID: 339245934