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

  • Héctor A. Bahamonde(corresponding author)
    ,
  • Guillermo Martínez Pastur
    ,
  • María V. Lencinas
    ,
  • Rosina Soler
    ,
  • Yamina M. Rosas
    ,
*Corresponding author for this work
  • CC 332
    ,
  • Universidad Nacional de la Patagonia Austral (UNPA)
    ,
  • Centro Austral de Investigaciones Científicas (CADIC) – CONICET
    ,
  • CADIC
    ,
  • ,
  • University of New South Wales
Research Output:
Contribution to journal
Article
Peer-review

Open access

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Article number

45

Journal (Volume, Issue Number)

Annals of Forest Science (Volume 75, Issue 2)

Publication milestones

  • Published - 01/06/2018

Publication status

Published - 01/06/2018

ISSN

1286-4560

Publication IDs

  • Scopus: 85044725054

Abstract

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.

Funding Details

This research has been partially financed by Instituto Nacional de Tecnología Agropecuaria (INTA) and Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina. 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
FundersFunding numbers
Argentinean National Research Council
-
CONICET
-
INTA
-

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