2020
DOI: 10.1002/esp.4858
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Long‐term large wood load fluctuations in two low‐order streams in Southern Chile

Abstract: The eco‐hydrogeomorphic significance of large wood (LW) and its potential for increasing downstream hazards during extreme floods have been widely recognized. We used LW data collected for a 10‐year period from the two low‐order streams of Pichún (Pi) and Vuelta de Zorra (VZ) in Southern Chile to (a) determine if the abundance and dimensions of individual LW pieces change with time, (b) quantify wood load fluctuations during the 10‐year period, and (c) assess the role of LW recruitment from the riparian forest… Show more

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Cited by 12 publications
(17 citation statements)
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“…Our results also suggest that high discharge events (e.g., >1.5 times mean discharge) are more important than mean discharge when active channel dimensions are less than log dimensions. A similar but shorter study in a shallow Chilean stream, but with a width and discharge higher than our study streams, also found that wood was not mobilized until a major discharge event (Iroumé et al, 2020). In larger systems, however, log mobilization during even more frequent floods may be a significant consideration for wood addition or other restoration activities (Wohl et al, 2016).…”
Section: Implications For Stream Managementsupporting
confidence: 63%
“…Our results also suggest that high discharge events (e.g., >1.5 times mean discharge) are more important than mean discharge when active channel dimensions are less than log dimensions. A similar but shorter study in a shallow Chilean stream, but with a width and discharge higher than our study streams, also found that wood was not mobilized until a major discharge event (Iroumé et al, 2020). In larger systems, however, log mobilization during even more frequent floods may be a significant consideration for wood addition or other restoration activities (Wohl et al, 2016).…”
Section: Implications For Stream Managementsupporting
confidence: 63%
“…Main forest types in the Erlenbach torrent (coniferous) and VZ (broadleaved) are perennial, and litterfall rates, which significantly contribute to CPOM yields (Findlay et al ., 1997), are almost identical (0.36–0.37 kg CPOM per m 2 and year). LW load was not very different in both streams and accounted for 7.9 m 3 /100 m in the Swiss Erlenbach (Jochner et al ., 2015) and between 6.2 and 11.6 m 3 /100 m after three surveys spanning 10 years in the VZ (Iroumé et al ., 2020). We can assume that the contribution of comparable LW loads to CPOM in terms of OM retention and smaller logs floating downstream, or the deteriorating rates of wood pieces into CPOM‐size particles (Vera et al ., 2014; Bunte et al ., 2016), might not be too different between these two streams, with similar wet and temperate climatic conditions.…”
Section: Discussionmentioning
confidence: 99%
“…Annual and decadal CPOM loads were normalized by forested catchment area (in this case, the entire catchment) and by the area of a seam along the stream banks together with the stream surface. For the seam along the stream banks we arbitrarily set a 10.6 m buffer for the width of the active channel (which is the mean width of the 1557 m segment used in this stream to study LW dynamics, see Iroumé et al ., 2020) plus 25 m along both banks for third‐order stream segments, and 3 m per channel width plus the same 25 m each side for first‐ and second‐order stream segments. With these assumptions, the area of a seam along the stream banks plus the stream surface was calculated to be 21 ha.…”
Section: Methods and Analysesmentioning
confidence: 99%
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“…The DW is recruited (a) from forested and wooded hillslopes notably from debris flows and landsides (e.g., Benda and Sias, 2003), (b) from the river-banks and (c) from previously deposited DW across the floodplain, and the recruitment is often related to planform changes due to high-energy event erosion such as flashfloods (e.g., Lucia et al, 2018). Often, it is not a linear process, and the drifted wood will have variable residence and delivery time in the catchment depending on the hydro-geomorphologic and landcover characteristics of a catchment (e.g., Iroume et al, 2020).…”
Section: Introductionmentioning
confidence: 99%