Importance of frequent storm flow data for evaluating changes in stream water chemistry following clear-cutting in Japanese headwater catchments

Oda, Takayuki; Ohte, Nobuhito; Suzuki, Masatoshi

doi:10.1016/j.foreco.2011.06.032

Cited by 12 publications

(5 citation statements)

References 35 publications

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“…Antecedent rainfall events might also impact water chemistry. However, in the two catchments, the fluctuations of water chemistry were usually small, even 1-2 days after rainfall events of 100 mm (Oda et al, 2011, for Inokawa; Figure S3 for Oborasawa) and at least 4 days passed between large rainfall events and our observations. The influence of rainfall events on the water chemistry results was thus assumed to be negligible, but this might still be a source of uncertainty.…”

Section: Influence Of Antecedent Rainfall Events On Stream Discharge ...mentioning

confidence: 50%

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Contrasting Patterns in the Decrease of Spatial Variability With Increasing Catchment Area Between Stream Discharge and Water Chemistry

Egusa

Kumagai

Oda

et al. 2019

Water Resources Research

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Understanding how spatial variability in stream discharge and water chemistry decrease with increasing catchment area is required to improve our ability to predict hydrological and biogeochemical processes in ungauged basins. We investigated differences in this decrease of variability with increasing catchment area among catchments and among specific discharge (Qs) and water chemistry parameters. We defined the slope of the decrease in the variability with increasing catchment area as the rate of decrease in the standard deviation and coefficient of variation (δSD and δCV, respectively), both of which are −0.5 for the simple mixing of random variables (random mixing). All δSD and δCV values of Qs were less than −0.5, while those of most water chemistry values were greater than −0.5, indicating that with increased catchment area the spatial variability of Qs decreased more steeply than for random mixing, while for water chemistry they decreased less steeply. δSD and δCV had linear relationships with both the spatial dissimilarity index and relative changes in parameters' mean values with increasing catchment area. It suggested that differences in δSD or δCV for Qs and water chemistry can be explained by the different spatial structures, where dissimilar values of Qs and similar values of water chemistry, respectively, are located close together in space. Differences in δSD and δCV according to Qs and water chemistry should significantly affect the determination of representative elementary area and therefore need to be considered when predicting representative elementary area from spatial variability of low‐order streams.

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Section: Influence Of Antecedent Rainfall Events On Stream Discharge ...mentioning

confidence: 50%

“…Recently, the importance of direct runoff periods for quantifying annual chemical flux has been recognized (Oda et al, 2011;Raymond & Saiers, 2010;Zarnetske et al, 2018). The study of REA began with investigations of the spatial variability in rainfall-runoff responses using a hydrological model.…”

Section: Water Resources Researchmentioning

confidence: 99%

Contrasting Patterns in the Decrease of Spatial Variability With Increasing Catchment Area Between Stream Discharge and Water Chemistry

Egusa

Kumagai

Oda

et al. 2019

Water Resources Research

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“…Nitrogen is a vital element for forest productivity and thus a commonly reported solute in previous studies of forest disturbance. Excess nitrogen leaching, mainly as nitrate, usually occurs following forest disturbance (Likens et al, 1970), and increased nitrate leaching has been documented in response to cutting (Bormann & Likens, 1979;Cummins & Farrell, 2003;Martin et al, 2000;Mupepele & Dormann, 2017;Oda et al, 2011;Reynolds et al, 1995), fire (Knoepp & Swank, 1993;Meixner et al, 2003;Riggan et al, 1994), and insect defoliation and disease (Eshleman et al, 1998;Swank et al, 1981;Tokuchi et al, 2004). The initial nitrate concentration increase has been correlated to disturbance intensity (Wang et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Stream Runoff and Nitrate Recovery Times After Forest Disturbance in the USA and Japan

Oda

Green

Urakawa

et al. 2018

Water Resources Research

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To understand mechanisms of long‐term hydrological and biogeochemical recovery after forest disturbance, it is important to evaluate recovery times (i.e., time scales associated with the return to baseline or predisturbance conditions) of stream runoff and nitrate concentration. Previous studies have focused on either the response of runoff or nitrate concentration, and some have specifically addressed recovery times following disturbance. However, controlling factors have not yet been elucidated. Knowing these relationships will advance our understanding of each recovery process. The objectives of this study were to explore the relationship between runoff and nitrate recovery times and identify potential factors controlling each. We acquired long‐term runoff and stream water nitrate concentration data from 20 sites in the USA and Japan. We then examined the relationship between runoff and nitrate recovery times at these multiple sites and use these relationships to discuss the ecosystem dynamics following forest disturbance. Nitrate response was detected at all study sites, while runoff responses were detected at all sites with disturbance intensities greater than 75% of the catchment area. The runoff recovery time was significantly correlated with the nitrate recovery time for catchments that had a runoff response. For these catchments, hydrological recovery times were slower than nitrate recovery times. The relationship between these two recovery times suggests that forest regeneration was a common control on both recovery times. However, the faster recovery time for nitrate suggests that nitrogen was less available or less mobile in these catchments than water.

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“…In cedar plantation forests located in central Japan, stream water NO 3 − concentrations increased dramatically after clear cutting (around 0.7 mgN l −1 ) and decreased after several years (Tokuchi and Fukushima, ). Oda et al () reported NO 3 − concentration increased (around 3.9 mgN l −1 ) after clear cutting of a mixed plantation of cedar and cypress ( Cryptomeria japonica and Chamaecyparis obtusa ). In the present study, the increases in DTN and TN between before and after thinning were calculated to be 0.34 and 0.46 mg l −1 , respectively (Table ).…”

Section: Discussionmentioning

confidence: 99%

“…Because storm flow could affect downstream water quality as well as that of baseflow (Zhang et al , ; Oda et al , ), two kinds of water samples were collected in 500‐ml clean polyethylene bottles: baseflow and rainfall period samples. Baseflow samples were taken from stream water and ground water at an interval of about 2 weeks (sometimes 1 week to 1 month intervals) under a relatively low‐flow condition excluding the periods when there were heavy rainfalls within around 3 days before sampling.…”

Section: Methodsmentioning

confidence: 99%

Influence of strip thinning on nutrient outflow concentrations from plantation forested watersheds

Fukushima

Tei

Arai

et al. 2015

Hydrological Processes

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Nutrient concentrations in stream water, rainfall, throughfall, stemflow, surface flow and ground water were compared before, during and after strip thinning (intensive 50%) in plantation forested watersheds in Tochigi, Japan. Influences were evaluated comparing four thinning-applied and two reference basins for 1 year before, 6 months during and 1 year after the thinning. Results show that this strip thinning significantly increased dissolved total phosphorus, total phosphorus and dissolved organic carbon (0.01, 0.04 and 0.53 mg l À1 , respectively) during the thinning period and dissolved total nitrogen and total nitrogen (0.34 and 0.46 mg l À1 , respectively) after the thinning in stream waters relative to the unthinned basins. The increased phosphorus during thinning indicated ground disturbances by the strip thinning, with a concomitant increase in dissolved organic carbon. Changes in biotic and abiotic conditions resulted in increased nitrogen after the thinning, particularly in the dissolved pool. Changes in hydrological processes due to thinning, for example, a change in flow distributions (less high nutrient stemflow and more low nutrient throughfall) and an increase in water discharge in stream water, possibly weakened the direct influences of thinning on nutrient concentrations.

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Importance of frequent storm flow data for evaluating changes in stream water chemistry following clear-cutting in Japanese headwater catchments

Cited by 12 publications

References 35 publications

Contrasting Patterns in the Decrease of Spatial Variability With Increasing Catchment Area Between Stream Discharge and Water Chemistry

Contrasting Patterns in the Decrease of Spatial Variability With Increasing Catchment Area Between Stream Discharge and Water Chemistry

Stream Runoff and Nitrate Recovery Times After Forest Disturbance in the USA and Japan

Influence of strip thinning on nutrient outflow concentrations from plantation forested watersheds

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