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| DOI | 10.1002/ESP.5030 | ||||
| Año | 2021 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
The importance of monitoring and analysing wood fluxes in mountain environments is widely recognized. However, there is a lack of information related to the long-term fluctuations in wood load and associated to the changes in large wood (LW) characteristics. The main aims of the research were to analyse (i) changes in wood characteristics, (ii) fluctuations in wood load, and (iii) the relationship between wood load and sub-reach settings, proposing an ad hoc roughness index (RI). Repeated field surveys to measure wood load and LW characteristics during a 13-year period were conducted within a 2.2 km-long reach of the Rio Toro (Chile), which flows through the Malleco Forest National Reserve that was affected by wildfires in 2002 and 2015. Two spatial scales (i.e. study reach and sub-reach) were considered. Irrespective of the adopted scale wood load fluctuated considerably, in both number and volume, with significant changes in LW characteristics (i.e. mean diameter and length). Moreover, a clear tendency to the aggregation in wood jams (WJs) was observed within the entire study reach. Based on our results, we conclude that 17 years after the first wildfire wood recruitment has started in the upper parts of the basin. Moreover, Generalized Linear Mixed Models (GLMM) analyses were carried out to investigate the relationship between RI and both number and volume of LW. Both models are characterized by high adjusted R-2 of 74.9% and 72.8% for volume and number, respectively. This demonstrated that the RI can characterize the reaches in terms of tendency to deposition and trapping of wood. These results are promising, particularly in improving the knowledge related to potential deposition areas that can control wood load fluctuations, also permitting its management to be improved. (c) 2020 John Wiley & Sons, Ltd.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Picco, L. | Hombre |
Univ Padua - Italia
Universidad Austral de Chile - Chile Università degli Studi di Padova - Italia |
| 2 | Scalari, Cordelia | Mujer |
Univ Padua - Italia
Università degli Studi di Padova - Italia |
| 3 | IROUME-ARRAU, ANDRES BERNARDO | Hombre |
Universidad Austral de Chile - Chile
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| 4 | Mazzorana, Bruno | Hombre |
Universidad Austral de Chile - Chile
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| 5 | ANDREOLI-BRASCA, ANDREA | Mujer |
Free Univ Bozen Bolzano - Italia
Free University of Bozen-Bolzano - Italia |
| Agradecimiento |
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| This research was conducted within the framework of the Projects FONDECYT 1170413, and CONICYT/ITAL170004. Bruno Mazzorana's participation was made possible by FONDECYT Project Nr. 1200091 'Unravelling the dynamics and impacts of sediment-laden flows in urban areas in southern Chile as a basis for innovative adaptation' (SEDIMPACT). The authors want to thank two anonymous reviewers, Dr Daniel N. Scott, and the editors Prof. S. Lane and Prof. E. Wohl for their useful comments and suggestions, permitting us to improve the clarity, quality and scientific value of our research. Alison Garside is acknowledged for revising the English language. Many thanks also to Prof. Carlo Schievano for his help, permitting us to greatly improve the statistical analyses. |
| This research was conducted within the framework of the Projects FONDECYT 1170413, and CONICYT/ITAL170004. Bruno Mazzorana's participation was made possible by FONDECYT Project Nr. 1200091 ‘Unravelling the dynamics and impacts of sediment-laden flows in urban areas in southern Chile as a basis for innovative adaptation’ (SEDIMPACT). The authors want to thank two anonymous reviewers, Dr Daniel N. Scott, and the editors Prof. S. Lane and Prof. E. Wohl for their useful comments and suggestions, permitting us to improve the clarity, quality and scientific value of our research. Alison Garside is acknowledged for revising the English language. Many thanks also to Prof. Carlo Schievano for his help, permitting us to greatly improve the statistical analyses. |