Soil and stream water acidification in a forested catchment in central Japan

Nakahara, Osamu; Takahashi, Masamichi; Sase, Hiroyuki; Yamada, Toshiro; Matsuda, Kazuhide; Ohizumi, Tsuyoshi; Fukuhara, Haruo; Inoue, Takanobu; Takahashi, Akiomi; Kobayashi, Hiroyasu; Hatano, Ryusuke; Hakamata, Tomoyuki

doi:10.1007/s10533-009-9362-4

Cited by 44 publications

(32 citation statements)

References 70 publications

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“…Due to increasing NO 3 À leaching from progressive N saturation, the greater affinity of protons for cation exchange sites in the soil will displace base cations. As base cation saturation is decreased, increased leaching of protons or mobilized aluminum with ensue leading to stream water acidification (Fang et al, 2011;Nakahara et al, 2010). In temperate catchments as well as in subtropical forests of southern China, $10.7 kg N ha À1 yr À1 of anthropogenic N input has been suggested as an N-saturation threshold Swaney et al, 2012;Zhang et al, 2013).…”

Section: Efficacy and Implications Of The N Budget-riverine Tn Flux Mmentioning

confidence: 99%

Modeling forest/agricultural and residential nitrogen budgets and riverine export dynamics in catchments with contrasting anthropogenic impacts in eastern China between 1980–2010

Chen

Guo

et al. 2016

Agriculture, Ecosystems & Environment

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A B S T R A C TThis study quantified the long-term response of riverine total nitrogen (TN) export to changes in net anthropogenic nitrogen inputs to forest/agricultural (NANI FA ) and residential (NANI R ) systems across three catchments affected by low (LD), medium (MD), and high (HD) human impacts in eastern China. Annual NANI FA increased by 63-87% in 1980-1999, followed by 0% (LD), À23% (MD) and À40% (HD) changes of NANI FA in 2000-2010, resulting in a net increase of 56-78% in NANI FA in 1980-2010. Annual NANI R increased by 101-152% in the three catchments in 1980-2010. Land-use showed a 58-65% increase in developed land area (D%) and a 96-108% increase in agricultural lands with improved drainage systems (AD%) over the study period. In response to changes in NANI FA , NANI R and land-use, riverine TN flux continuously increased 3.0-to 6.1-fold in the three catchments over the past 31 years. For each catchment, an empirical model incorporating annual NANI FA , NANI R , water discharge, D%, and AD% was developed (R 2 = 0.93 À 0.97) for predicting and quantifying sources of annual riverine TN fluxes. The model estimated that NANI FA , NANI R and other N sources (e.g., natural background, legacy, and industrial N sources) contributed 27-90%, 0-45%, and 10-28% of riverine TN fluxes, respectively. Model results were consistent with spatio-temporal changes of riverine chloride, ammonium, nitrate, dissolve oxygen and pH, as well as changes in available N levels in agricultural soils. In terms of N source management, reduction of NANI FA in catchment LD and NANI R in catchment HD would have the greatest impact on reducing riverine TN fluxes. Furthermore, changes in land use and climate as well as legacy N should be considered in developing N pollution control strategies.

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Section: Efficacy and Implications Of The N Budget-riverine Tn Flux Mmentioning

confidence: 99%

Modeling forest/agricultural and residential nitrogen budgets and riverine export dynamics in catchments with contrasting anthropogenic impacts in eastern China between 1980–2010

Chen

Guo

et al. 2016

Agriculture, Ecosystems & Environment

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“…The high-risk areas in the maps also included some study sites at which surface water has been reported for the past several years. Surface water acidification in Lake Sawanoike (Yoshikawa et al 2000), Lake Yashagaike (MOEJ 2014), and some rivers in the north of Niigata Prefecture (Matsubara et al 2008) was assigned a relative risk category of IV or V. The areas corresponding to category V risk included the Lake Ijira watershed, a site where the effects of acid deposition on the significant water acidification have been reported (Yamada et al 2007;Nakahara et al 2010). Thus, the map of case F may serve as a risk map for surface water acidification.…”

Section: Relative Risk Maps and Their Sensitivities To Different Weightsmentioning

confidence: 99%

“…Thus, the map of case F may serve as a risk map for surface water acidification. The soil acidification risk was also evaluated at two sites, Gifu and Ishikawa, where long-term soil acidification has been recorded (Nakahara et al 2010 andMOEJ 2014, respectively). As a result, the sites fall into high-risk categories in maps A and E, which corroborates the idea that soil acidification is more closely related to soil sensitivity than to bedrock sensitivity.…”

Section: Relative Risk Maps and Their Sensitivities To Different Weightsmentioning

confidence: 99%

“…The seasonal Mann-Kendall test (P \ 0.05) was applied to the 638 observation points in the water quality database for public water bodies (https://www.nies.go.jp/ igreen/). *1 River water in Niigata (Matsubara et al 2008), *2 Lake Yashagaike (MOEJ 2014), *3 surface water in the Leke Ijira watershed (Yamada et al 2007 andNakahara et al 2010), *4 Lake Sawanoike (Yoshikawa et al 2000) …”

Section: *4mentioning

confidence: 99%

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Mapping the relative risk of surface water acidification based on cumulative acid deposition over the past 25 years in Japan

Yamashita

Sase

Ohizumi

et al. 2016

Journal of Forest Research

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Sensitivity maps of atmospheric acid deposition in Japan have not been updated in 20 years. Here, we propose new relative risk maps of surface water acidification in forests based on a weighted overlay of cumulative potential acid deposition (CPAD) simulated for a 25-year period (1981-2005), including the sensitivities of soil and bedrock to acidification. We assumed that relative acidification risk is high in areas that exhibit high sensitivities of soil and bedrock to acid and have received a large amount of cumulative acid deposition over the past several decades. We aggregated fine soil and bedrock maps into a 20-km mesh for overlay onto an 80-km mesh map of CPAD by considering their spatial structures in Japan. Allocation of the weights among CPAD and soil and bedrock sensitivities was performed based on observational trends in river pH over the past 30 years. The resulting risk map for surface water acidification showed that large areas of western Japan, as well as smaller areas of Hokkaido, Tohoku, Kanto, and Kyushu, are at high risk of surface water acidification. Seventy-seven percent of all rivers for which a declining trend in pH was observed from 2001 to 2009 were also high-risk areas. Acid deposition might be one factor controlling surface water acidification in areas with high bedrock sensitivity, in addition to high CPAD and soil sensitivity, although the risk of soil acidification remains unclear.

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“…Freshwaters continue to suffer from acidification in many parts of the world (e.g., Kowalik et al, 2007;Lawrence et al, 2008;Nakahara et al, 2010) due to a combination of present-day or historic high acid deposition and the occurrence of soils with low buffering capacity, resulting in adverse impacts on the aquatic ecology (Baldigo et al, 2009;Harriman et al, 1987). Surface water acidification is predominantly caused by the transfer of anthropogenically-derived strong acids and acid-forming substances, in particular sulphur dioxide (SO 2 ), nitrogen oxides (NO x ), ammonia (NH 3 ) and the particulate acidifying compounds sulphate (SO 4 ) and nitrate (NO 3 ), from the atmosphere via deposition to the earth's surface (Driscoll et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

Assessing the effect of broadleaf woodland expansion on acidic dry deposition and streamwater acidification

Gagkas

Heal

Vieno

et al. 2011

Forest Ecology and Management

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a b s t r a c tThe study aim was to determine whether enhanced dry deposition of acidic atmospheric pollutants by broadleaf woodland expansion could increase the potential for acidification of surface waters in acid-sensitive areas. Dry sulphur (S) and nitrogen (N) deposition was modelled with the Fine Resolution Atmospheric Multi-pollutant Exchange (FRAME) model using a roughness length value calculated specifically for birchwoods. Two scenarios were investigated for an acid-sensitive area in Scotland where broadleaf woodland expansion, mainly as birchwood, is occurring: (1) 2002 emissions and broadleaf woodland cover of 5.6%; (2) 2020 projected emissions and broadleaf cover of 29%. The roughness length calculated for birch with Raupach's simplified drag-partition model was 0.73 m, lower than the value of 1.0 m for conifers which is the default for forest land cover in FRAME. Modelled dry S and N deposition increased between 2002 and 2020 from 8.7 to 29 Â 10 À3 keq ha À1 year À1 of H + . However, modelled total dry and wet non-marine S and N deposition decreased during the same period from 1070 to 682 Â 10 À3 keq ha À1 year À1 of H + due to the lower projected emissions in 2020 and the dominance of wet deposition in the remote and upland study area (mean annual rainfall 2275 mm). The modelled total non-marine S and N deposition was used to calculate streamwater critical loads exceedance with the First-order Acidity Balance (FAB) model for five catchments in the study area. The modelled deposition for both the 2002 and 2020 scenarios was less than the calculated streamwater critical loads so the catchments were not considered at risk of streamwater acidification under the projected future emissions and increased broadleaf woodland cover. Nevertheless, broadleaf expansion could pose a greater risk of acidification in acid-sensitive areas with lower rainfall, closer to pollutant sources, where dry deposition accounts for a higher proportion of total S and N deposition.

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Soil and stream water acidification in a forested catchment in central Japan

Cited by 44 publications

References 70 publications

Modeling forest/agricultural and residential nitrogen budgets and riverine export dynamics in catchments with contrasting anthropogenic impacts in eastern China between 1980–2010

Modeling forest/agricultural and residential nitrogen budgets and riverine export dynamics in catchments with contrasting anthropogenic impacts in eastern China between 1980–2010

Mapping the relative risk of surface water acidification based on cumulative acid deposition over the past 25 years in Japan

Assessing the effect of broadleaf woodland expansion on acidic dry deposition and streamwater acidification

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