Decadal Stabilization of Soil Inorganic Nitrogen as a Benchmark for Global Land Models
Abstract Global land models are now routinely incorporating the nitrogen (N) cycle into simulations, but the identification of its benchmarks has lagged behind. An important variable in these models is the soil inorganic N (SIN) which is the resultant of different input and output N processes. Howev...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
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American Geophysical Union (AGU)
2019-04-01
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Series: | Journal of Advances in Modeling Earth Systems |
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Online Access: | https://doi.org/10.1029/2019MS001633 |
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doaj-f7a681c7d645422a9092d949f11c6347 |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ning Wei Erqian Cui Kun Huang Zhenggang Du Jian Zhou Xiaoni Xu Jing Wang Liming Yan Jianyang Xia |
spellingShingle |
Ning Wei Erqian Cui Kun Huang Zhenggang Du Jian Zhou Xiaoni Xu Jing Wang Liming Yan Jianyang Xia Decadal Stabilization of Soil Inorganic Nitrogen as a Benchmark for Global Land Models Journal of Advances in Modeling Earth Systems benchmarking analysis biogeochemistry global land model soil inorganic nitrogen terrestrial nitrogen cycle |
author_facet |
Ning Wei Erqian Cui Kun Huang Zhenggang Du Jian Zhou Xiaoni Xu Jing Wang Liming Yan Jianyang Xia |
author_sort |
Ning Wei |
title |
Decadal Stabilization of Soil Inorganic Nitrogen as a Benchmark for Global Land Models |
title_short |
Decadal Stabilization of Soil Inorganic Nitrogen as a Benchmark for Global Land Models |
title_full |
Decadal Stabilization of Soil Inorganic Nitrogen as a Benchmark for Global Land Models |
title_fullStr |
Decadal Stabilization of Soil Inorganic Nitrogen as a Benchmark for Global Land Models |
title_full_unstemmed |
Decadal Stabilization of Soil Inorganic Nitrogen as a Benchmark for Global Land Models |
title_sort |
decadal stabilization of soil inorganic nitrogen as a benchmark for global land models |
publisher |
American Geophysical Union (AGU) |
series |
Journal of Advances in Modeling Earth Systems |
issn |
1942-2466 |
publishDate |
2019-04-01 |
description |
Abstract Global land models are now routinely incorporating the nitrogen (N) cycle into simulations, but the identification of its benchmarks has lagged behind. An important variable in these models is the soil inorganic N (SIN) which is the resultant of different input and output N processes. However, whether and how the SIN pool and its spatiotemporal variation can be used as benchmarks for models remains unclear. Here we first constructed a database of measured SIN at 756 sites from 1980 to 2010 across China, one of the regions that has been experiencing the highest external N input. Although there was great spatial variability of the measured SIN pool, no significant changes were detected across China during 1980–2010 based on a bootstrapping approach. The medians of the measured SIN across China were 63, 70, and 65 mg/kg during the 1980s, 1990s, and 2000s, respectively. Then, we used the regional SIN database to evaluate two versions of the Community Land Model (i.e., CLM4.5 and CLM5.0). In comparison with the observation (median 75 mg/kg) at grid‐cell scale, both CLM4.5 (median 0.70 mg/kg) and CLM5.0 (median 0.79 mg/kg) underestimated the SIN pools across China. Although the drivers of such modeling biases are difficult to identify at the current stage, improved representations of both input and output processes of the SIN pool in the models are highly recommended. These findings suggest that a decadal stabilization of the SIN pool in terrestrial ecosystems and the spatial distribution of the SIN pool may be a useful benchmark for global biogeochemical models. |
topic |
benchmarking analysis biogeochemistry global land model soil inorganic nitrogen terrestrial nitrogen cycle |
url |
https://doi.org/10.1029/2019MS001633 |
work_keys_str_mv |
AT ningwei decadalstabilizationofsoilinorganicnitrogenasabenchmarkforgloballandmodels AT erqiancui decadalstabilizationofsoilinorganicnitrogenasabenchmarkforgloballandmodels AT kunhuang decadalstabilizationofsoilinorganicnitrogenasabenchmarkforgloballandmodels AT zhenggangdu decadalstabilizationofsoilinorganicnitrogenasabenchmarkforgloballandmodels AT jianzhou decadalstabilizationofsoilinorganicnitrogenasabenchmarkforgloballandmodels AT xiaonixu decadalstabilizationofsoilinorganicnitrogenasabenchmarkforgloballandmodels AT jingwang decadalstabilizationofsoilinorganicnitrogenasabenchmarkforgloballandmodels AT limingyan decadalstabilizationofsoilinorganicnitrogenasabenchmarkforgloballandmodels AT jianyangxia decadalstabilizationofsoilinorganicnitrogenasabenchmarkforgloballandmodels |
_version_ |
1724272873298722816 |
spelling |
doaj-f7a681c7d645422a9092d949f11c63472021-02-12T16:35:44ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662019-04-011141088109910.1029/2019MS001633Decadal Stabilization of Soil Inorganic Nitrogen as a Benchmark for Global Land ModelsNing Wei0Erqian Cui1Kun Huang2Zhenggang Du3Jian Zhou4Xiaoni Xu5Jing Wang6Liming Yan7Jianyang Xia8Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, Shanghai Key Lab for Urban Ecological Processes and Eco‐Restoration, School of Ecological and Environmental Sciences East China Normal University Shanghai ChinaZhejiang Tiantong Forest Ecosystem National Observation and Research Station, Shanghai Key Lab for Urban Ecological Processes and Eco‐Restoration, School of Ecological and Environmental Sciences East China Normal University Shanghai ChinaZhejiang Tiantong Forest Ecosystem National Observation and Research Station, Shanghai Key Lab for Urban Ecological Processes and Eco‐Restoration, School of Ecological and Environmental Sciences East China Normal University Shanghai ChinaZhejiang Tiantong Forest Ecosystem National Observation and Research Station, Shanghai Key Lab for Urban Ecological Processes and Eco‐Restoration, School of Ecological and Environmental Sciences East China Normal University Shanghai ChinaZhejiang Tiantong Forest Ecosystem National Observation and Research Station, Shanghai Key Lab for Urban Ecological Processes and Eco‐Restoration, School of Ecological and Environmental Sciences East China Normal University Shanghai ChinaZhejiang Tiantong Forest Ecosystem National Observation and Research Station, Shanghai Key Lab for Urban Ecological Processes and Eco‐Restoration, School of Ecological and Environmental Sciences East China Normal University Shanghai ChinaZhejiang Tiantong Forest Ecosystem National Observation and Research Station, Shanghai Key Lab for Urban Ecological Processes and Eco‐Restoration, School of Ecological and Environmental Sciences East China Normal University Shanghai ChinaZhejiang Tiantong Forest Ecosystem National Observation and Research Station, Shanghai Key Lab for Urban Ecological Processes and Eco‐Restoration, School of Ecological and Environmental Sciences East China Normal University Shanghai ChinaZhejiang Tiantong Forest Ecosystem National Observation and Research Station, Shanghai Key Lab for Urban Ecological Processes and Eco‐Restoration, School of Ecological and Environmental Sciences East China Normal University Shanghai ChinaAbstract Global land models are now routinely incorporating the nitrogen (N) cycle into simulations, but the identification of its benchmarks has lagged behind. An important variable in these models is the soil inorganic N (SIN) which is the resultant of different input and output N processes. However, whether and how the SIN pool and its spatiotemporal variation can be used as benchmarks for models remains unclear. Here we first constructed a database of measured SIN at 756 sites from 1980 to 2010 across China, one of the regions that has been experiencing the highest external N input. Although there was great spatial variability of the measured SIN pool, no significant changes were detected across China during 1980–2010 based on a bootstrapping approach. The medians of the measured SIN across China were 63, 70, and 65 mg/kg during the 1980s, 1990s, and 2000s, respectively. Then, we used the regional SIN database to evaluate two versions of the Community Land Model (i.e., CLM4.5 and CLM5.0). In comparison with the observation (median 75 mg/kg) at grid‐cell scale, both CLM4.5 (median 0.70 mg/kg) and CLM5.0 (median 0.79 mg/kg) underestimated the SIN pools across China. Although the drivers of such modeling biases are difficult to identify at the current stage, improved representations of both input and output processes of the SIN pool in the models are highly recommended. These findings suggest that a decadal stabilization of the SIN pool in terrestrial ecosystems and the spatial distribution of the SIN pool may be a useful benchmark for global biogeochemical models.https://doi.org/10.1029/2019MS001633benchmarking analysisbiogeochemistryglobal land modelsoil inorganic nitrogenterrestrial nitrogen cycle |