Uncertainty propagation in a global biogeochemical model driven by leaf area data
Satellite-observed leaf area index (LAI) is often used to depict vegetation canopy structure and photosynthesis processes in terrestrial biogeochemical models. However, it remains unclear how the uncertainty of LAI among different satellite products propagates to the modeling of carbon (C), nitrogen...
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ftdoajarticles:oai:doaj.org/article:bfb18ec14fd44285b5eba38ac2f81e69 2023-05-15T18:40:35+02:00 Uncertainty propagation in a global biogeochemical model driven by leaf area data Chenyu Bian Jianyang Xia 2023-02-01T00:00:00Z https://doi.org/10.3389/fevo.2023.1105832 https://doaj.org/article/bfb18ec14fd44285b5eba38ac2f81e69 EN eng Frontiers Media S.A. https://www.frontiersin.org/articles/10.3389/fevo.2023.1105832/full https://doaj.org/toc/2296-701X 2296-701X doi:10.3389/fevo.2023.1105832 https://doaj.org/article/bfb18ec14fd44285b5eba38ac2f81e69 Frontiers in Ecology and Evolution, Vol 11 (2023) ecosystem modeling leaf area index nitrogen cycle phosphorus cycle traceability analysis uncertainty propagation Evolution QH359-425 Ecology QH540-549.5 article 2023 ftdoajarticles https://doi.org/10.3389/fevo.2023.1105832 2023-02-26T01:32:15Z Satellite-observed leaf area index (LAI) is often used to depict vegetation canopy structure and photosynthesis processes in terrestrial biogeochemical models. However, it remains unclear how the uncertainty of LAI among different satellite products propagates to the modeling of carbon (C), nitrogen (N), and phosphorus (P) cycles. Here, we separately drive a global biogeochemical model by three satellite-derived LAI products (i.e., GIMMS LAI3g, GLASS, and GLOBMAP) from 1982 to 2011. Using a traceability analysis, we explored the propagation of LAI-driven uncertainty to modeled C, N, and P storage among different biomes. The results showed that the data uncertainty of LAI was more considerable in the tropics than in non-tropical regions, whereas the modeling uncertainty of C, N, and P stocks showed a contrasting biogeographic pattern. The spread of simulated C, N, and P storage derived by different LAI datasets resulted from assimilation rates of elements in shrubland and C3 grassland but from the element residence time (τ) in deciduous needle leaf forest and tundra regions. Moreover, the assimilation rates of elements are the main contributing factor, with 67.6, 93.2, and 93% of vegetated grids for the modeled uncertainty of C, N, and P storage among the three simulations. We further traced the variations in τ to baseline residence times of different elements and the environmental scalars. These findings indicate that the data uncertainty of plant leaf traits can propagate to ecosystem processes in global biogeochemical models, especially in non-tropical forests. Article in Journal/Newspaper Tundra Directory of Open Access Journals: DOAJ Articles Frontiers in Ecology and Evolution 11 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
ecosystem modeling leaf area index nitrogen cycle phosphorus cycle traceability analysis uncertainty propagation Evolution QH359-425 Ecology QH540-549.5 |
spellingShingle |
ecosystem modeling leaf area index nitrogen cycle phosphorus cycle traceability analysis uncertainty propagation Evolution QH359-425 Ecology QH540-549.5 Chenyu Bian Jianyang Xia Uncertainty propagation in a global biogeochemical model driven by leaf area data |
topic_facet |
ecosystem modeling leaf area index nitrogen cycle phosphorus cycle traceability analysis uncertainty propagation Evolution QH359-425 Ecology QH540-549.5 |
description |
Satellite-observed leaf area index (LAI) is often used to depict vegetation canopy structure and photosynthesis processes in terrestrial biogeochemical models. However, it remains unclear how the uncertainty of LAI among different satellite products propagates to the modeling of carbon (C), nitrogen (N), and phosphorus (P) cycles. Here, we separately drive a global biogeochemical model by three satellite-derived LAI products (i.e., GIMMS LAI3g, GLASS, and GLOBMAP) from 1982 to 2011. Using a traceability analysis, we explored the propagation of LAI-driven uncertainty to modeled C, N, and P storage among different biomes. The results showed that the data uncertainty of LAI was more considerable in the tropics than in non-tropical regions, whereas the modeling uncertainty of C, N, and P stocks showed a contrasting biogeographic pattern. The spread of simulated C, N, and P storage derived by different LAI datasets resulted from assimilation rates of elements in shrubland and C3 grassland but from the element residence time (τ) in deciduous needle leaf forest and tundra regions. Moreover, the assimilation rates of elements are the main contributing factor, with 67.6, 93.2, and 93% of vegetated grids for the modeled uncertainty of C, N, and P storage among the three simulations. We further traced the variations in τ to baseline residence times of different elements and the environmental scalars. These findings indicate that the data uncertainty of plant leaf traits can propagate to ecosystem processes in global biogeochemical models, especially in non-tropical forests. |
format |
Article in Journal/Newspaper |
author |
Chenyu Bian Jianyang Xia |
author_facet |
Chenyu Bian Jianyang Xia |
author_sort |
Chenyu Bian |
title |
Uncertainty propagation in a global biogeochemical model driven by leaf area data |
title_short |
Uncertainty propagation in a global biogeochemical model driven by leaf area data |
title_full |
Uncertainty propagation in a global biogeochemical model driven by leaf area data |
title_fullStr |
Uncertainty propagation in a global biogeochemical model driven by leaf area data |
title_full_unstemmed |
Uncertainty propagation in a global biogeochemical model driven by leaf area data |
title_sort |
uncertainty propagation in a global biogeochemical model driven by leaf area data |
publisher |
Frontiers Media S.A. |
publishDate |
2023 |
url |
https://doi.org/10.3389/fevo.2023.1105832 https://doaj.org/article/bfb18ec14fd44285b5eba38ac2f81e69 |
genre |
Tundra |
genre_facet |
Tundra |
op_source |
Frontiers in Ecology and Evolution, Vol 11 (2023) |
op_relation |
https://www.frontiersin.org/articles/10.3389/fevo.2023.1105832/full https://doaj.org/toc/2296-701X 2296-701X doi:10.3389/fevo.2023.1105832 https://doaj.org/article/bfb18ec14fd44285b5eba38ac2f81e69 |
op_doi |
https://doi.org/10.3389/fevo.2023.1105832 |
container_title |
Frontiers in Ecology and Evolution |
container_volume |
11 |
_version_ |
1766229968830857216 |