Modeling the terrestrial N processes in a small mountain catchment through INCA-N: A case study in Taiwan

Meng Chang Lu, Chung Te Chang, Teng Chiu Lin, Lih Jih Wang, Chiao Ping Wang, Ting Chang Hsu, Jr Chuan Huang

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Riverine dissolved inorganic nitrogen (DIN) is an important indicator of trophic status of aquatic ecosystems. High riverine DIN export in Taiwan, ~ 3800 kg-N km− 2 yr− 1, which is ~ 18 times higher than the global average, urges the need of thorough understanding of N cycling processes. We applied INCA-N (Integrated Nitrogen Catchment Model) to simulate riverine DIN export and infer terrestrial N processes using weekly rainwater and streamwater samples collected at the Fushan Experimental Forest (FEF) of northern Taiwan. Results showed that the modeled discharge and nitrate export are in good agreement with observations, suggesting the validity of our application. Based on our modeling, the three main N removal processes, in the order of descending importance, were plant uptake, riverine N transport and denitrification at FEF. The high plant uptake rate, 4920 kg-N km− 2 yr− 1, should have led to accumulation of large biomass but biomass at FEF was relatively small compared to other tropical forests, likely due to periodic typhoon disruptions. The low nitrate concentration but high DIN export highlights the importance of hydrological control over DIN export, particularly during typhoons. The denitrification rate, 750 kg-N km− 2 yr− 1, at FEF was also low compared to other tropical forest ecosystems, likely resulting from quick water drainage through the coarse-loamy top soils. The high DIN export to atmospheric deposition ratio, 0.45, suggests that FEF may be in advanced stages of N excess. This simulation provides useful insights for establishing monitoring programs and improves our understanding N cycling in subtropical watersheds.

Original languageEnglish
Pages (from-to)319-329
Number of pages11
JournalScience of the Total Environment
Volume593-594
DOIs
Publication statusPublished - 2017 Sep 1

Fingerprint

dissolved inorganic nitrogen
Catchments
Nitrogen
catchment
mountain
nitrogen
modeling
Denitrification
denitrification
Nitrates
Biomass
nitrate
streamwater
trophic status
biomass
typhoon
drainage water
Aquatic ecosystems
atmospheric deposition
rainwater

Keywords

  • Denitrification
  • Dissolved inorganic nitrogen (DIN)
  • Fushan Experimental Forest
  • Plant uptake
  • Subtropical catchment

ASJC Scopus subject areas

  • Environmental Engineering
  • Environmental Chemistry
  • Waste Management and Disposal
  • Pollution

Cite this

Modeling the terrestrial N processes in a small mountain catchment through INCA-N : A case study in Taiwan. / Lu, Meng Chang; Chang, Chung Te; Lin, Teng Chiu; Wang, Lih Jih; Wang, Chiao Ping; Hsu, Ting Chang; Huang, Jr Chuan.

In: Science of the Total Environment, Vol. 593-594, 01.09.2017, p. 319-329.

Research output: Contribution to journalArticle

Lu, Meng Chang ; Chang, Chung Te ; Lin, Teng Chiu ; Wang, Lih Jih ; Wang, Chiao Ping ; Hsu, Ting Chang ; Huang, Jr Chuan. / Modeling the terrestrial N processes in a small mountain catchment through INCA-N : A case study in Taiwan. In: Science of the Total Environment. 2017 ; Vol. 593-594. pp. 319-329.
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AB - Riverine dissolved inorganic nitrogen (DIN) is an important indicator of trophic status of aquatic ecosystems. High riverine DIN export in Taiwan, ~ 3800 kg-N km− 2 yr− 1, which is ~ 18 times higher than the global average, urges the need of thorough understanding of N cycling processes. We applied INCA-N (Integrated Nitrogen Catchment Model) to simulate riverine DIN export and infer terrestrial N processes using weekly rainwater and streamwater samples collected at the Fushan Experimental Forest (FEF) of northern Taiwan. Results showed that the modeled discharge and nitrate export are in good agreement with observations, suggesting the validity of our application. Based on our modeling, the three main N removal processes, in the order of descending importance, were plant uptake, riverine N transport and denitrification at FEF. The high plant uptake rate, 4920 kg-N km− 2 yr− 1, should have led to accumulation of large biomass but biomass at FEF was relatively small compared to other tropical forests, likely due to periodic typhoon disruptions. The low nitrate concentration but high DIN export highlights the importance of hydrological control over DIN export, particularly during typhoons. The denitrification rate, 750 kg-N km− 2 yr− 1, at FEF was also low compared to other tropical forest ecosystems, likely resulting from quick water drainage through the coarse-loamy top soils. The high DIN export to atmospheric deposition ratio, 0.45, suggests that FEF may be in advanced stages of N excess. This simulation provides useful insights for establishing monitoring programs and improves our understanding N cycling in subtropical watersheds.

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