Representation of the phosphorus cycle in the Joint UK Land Environment Simulator (vn5.5_JULES-CNP)
<p>Most land surface models (LSMs), i.e. the land components of Earth system models (ESMs), include representation of nitrogen (N) limitation on ecosystem productivity. However, only a few of these models have incorporated phosphorus (P) cycling. In tropical ecosystems, this is likely to be im...
| Main Authors: | , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2022-07-01
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| Series: | Geoscientific Model Development |
| Online Access: | https://gmd.copernicus.org/articles/15/5241/2022/gmd-15-5241-2022.pdf |
| _version_ | 1818466193100505088 |
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| author | M. A. Nakhavali L. M. Mercado L. M. Mercado I. P. Hartley S. Sitch F. V. Cunha R. di Ponzio L. F. Lugli C. A. Quesada K. M. Andersen K. M. Andersen K. M. Andersen S. E. Chadburn A. J. Wiltshire A. J. Wiltshire D. B. Clark G. Ribeiro L. Siebert A. C. M. Moraes J. Schmeisk Rosa R. Assis J. L. Camargo |
| author_facet | M. A. Nakhavali L. M. Mercado L. M. Mercado I. P. Hartley S. Sitch F. V. Cunha R. di Ponzio L. F. Lugli C. A. Quesada K. M. Andersen K. M. Andersen K. M. Andersen S. E. Chadburn A. J. Wiltshire A. J. Wiltshire D. B. Clark G. Ribeiro L. Siebert A. C. M. Moraes J. Schmeisk Rosa R. Assis J. L. Camargo |
| author_sort | M. A. Nakhavali |
| collection | DOAJ |
| description | <p>Most land surface models (LSMs), i.e. the land components of Earth system models
(ESMs), include representation of nitrogen (N) limitation on ecosystem
productivity. However, only a few of these models have incorporated phosphorus
(P) cycling. In tropical ecosystems, this is likely to be important as N
tends to be abundant, whereas the availability of rock-derived elements, such as
P, can be very low. Thus, without a representation of P cycling, tropical
forest response in areas such as Amazonia to rising atmospheric CO<span class="inline-formula"><sub>2</sub></span>
conditions remain highly uncertain. In this study, we introduced P dynamics
and its interactions with the N and carbon (C) cycles into the Joint UK Land
Environment Simulator (JULES). The new model (JULES-CNP) includes the
representation of P stocks in vegetation and soil pools, as well as key
processes controlling fluxes between these pools. We develop and evaluate
JULES-CNP using in situ data collected at a low-fertility site in the
central Amazon, with a soil P content representative of 60 % of soils
across the Amazon basin, to parameterize, calibrate, and evaluate JULES-CNP.
Novel soil and plant P pool observations are used for parameterization and
calibration, and the model is evaluated against C fluxes and stocks and
those soil P pools not used for parameterization or calibration. We then
evaluate the model at additional P-limited test sites across the Amazon and in
Panama and Hawaii, showing a significant improvement over the C- and CN-only
versions of the model. The model is then applied under elevated
CO<span class="inline-formula"><sub>2</sub></span> (600 ppm) at our study site in the central Amazon to quantify the impact
of P limitation on CO<span class="inline-formula"><sub>2</sub></span> fertilization. We compare our results against the
current state-of-the-art CNP models using the same methodology that was used
in the AmazonFACE model intercomparison study. The model is able to
reproduce the observed plant and soil P pools and fluxes used for evaluation
under ambient CO<span class="inline-formula"><sub>2</sub></span>. We estimate P to limit net primary productivity
(NPP) by 24 % under current CO<span class="inline-formula"><sub>2</sub></span> and by 46 % under elevated
CO<span class="inline-formula"><sub>2</sub></span>. Under elevated CO<span class="inline-formula"><sub>2</sub></span>, biomass in simulations accounting for CNP
increase by 10 % relative to contemporary CO<span class="inline-formula"><sub>2</sub></span> conditions, although it
is 5 % lower compared to CN- and C-only simulations. Our results
highlight the potential for high P limitation and therefore lower CO<span class="inline-formula"><sub>2</sub></span> fertilization capacity in the Amazon rainforest with low-fertility soils.</p> |
| first_indexed | 2024-04-13T20:55:59Z |
| format | Article |
| id | doaj.art-0a2d65f9cdc847c08e782c68db4b0623 |
| institution | Directory Open Access Journal |
| issn | 1991-959X 1991-9603 |
| language | English |
| last_indexed | 2024-04-13T20:55:59Z |
| publishDate | 2022-07-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Geoscientific Model Development |
| spelling | doaj.art-0a2d65f9cdc847c08e782c68db4b06232022-12-22T02:30:20ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032022-07-01155241526910.5194/gmd-15-5241-2022Representation of the phosphorus cycle in the Joint UK Land Environment Simulator (vn5.5_JULES-CNP) M. A. Nakhavali0L. M. Mercado1L. M. Mercado2I. P. Hartley3S. Sitch4F. V. Cunha5R. di Ponzio6L. F. Lugli7C. A. Quesada8K. M. Andersen9K. M. Andersen10K. M. Andersen11S. E. Chadburn12A. J. Wiltshire13A. J. Wiltshire14D. B. Clark15G. Ribeiro16L. Siebert17A. C. M. Moraes18J. Schmeisk Rosa19R. Assis20J. L. Camargo21College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4QE, United KingdomCollege of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4QE, United KingdomUK Centre for Ecology and Hydrology, Wallingford, OX10 8BB, United KingdomCollege of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4QE, United KingdomCollege of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4QE, United KingdomCoordination of Environmental Dynamics, National Institute of Amazonian Research, Manaus, AM 69060-062, BrazilCoordination of Environmental Dynamics, National Institute of Amazonian Research, Manaus, AM 69060-062, BrazilCoordination of Environmental Dynamics, National Institute of Amazonian Research, Manaus, AM 69060-062, BrazilCoordination of Environmental Dynamics, National Institute of Amazonian Research, Manaus, AM 69060-062, BrazilCollege of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4QE, United KingdomSchool of Geosciences, University of Edinburgh, Edinburgh, EH8 9AB, United KingdomAsian School of the Environment, Nanyang Technological University, Singapore, 639798, SingaporeCollege of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter, EX4 4QE, United KingdomCollege of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4QE, United KingdomMet Office Hadley Centre, Exeter, Devon, EX1 3PB, United KingdomUK Centre for Ecology and Hydrology, Wallingford, OX10 8BB, United KingdomCoordination of Environmental Dynamics, National Institute of Amazonian Research, Manaus, AM 69060-062, BrazilCoordination of Environmental Dynamics, National Institute of Amazonian Research, Manaus, AM 69060-062, BrazilCoordination of Environmental Dynamics, National Institute of Amazonian Research, Manaus, AM 69060-062, BrazilCoordination of Environmental Dynamics, National Institute of Amazonian Research, Manaus, AM 69060-062, BrazilCoordination of Environmental Dynamics, National Institute of Amazonian Research, Manaus, AM 69060-062, BrazilCoordination of Environmental Dynamics, National Institute of Amazonian Research, Manaus, AM 69060-062, Brazil<p>Most land surface models (LSMs), i.e. the land components of Earth system models (ESMs), include representation of nitrogen (N) limitation on ecosystem productivity. However, only a few of these models have incorporated phosphorus (P) cycling. In tropical ecosystems, this is likely to be important as N tends to be abundant, whereas the availability of rock-derived elements, such as P, can be very low. Thus, without a representation of P cycling, tropical forest response in areas such as Amazonia to rising atmospheric CO<span class="inline-formula"><sub>2</sub></span> conditions remain highly uncertain. In this study, we introduced P dynamics and its interactions with the N and carbon (C) cycles into the Joint UK Land Environment Simulator (JULES). The new model (JULES-CNP) includes the representation of P stocks in vegetation and soil pools, as well as key processes controlling fluxes between these pools. We develop and evaluate JULES-CNP using in situ data collected at a low-fertility site in the central Amazon, with a soil P content representative of 60 % of soils across the Amazon basin, to parameterize, calibrate, and evaluate JULES-CNP. Novel soil and plant P pool observations are used for parameterization and calibration, and the model is evaluated against C fluxes and stocks and those soil P pools not used for parameterization or calibration. We then evaluate the model at additional P-limited test sites across the Amazon and in Panama and Hawaii, showing a significant improvement over the C- and CN-only versions of the model. The model is then applied under elevated CO<span class="inline-formula"><sub>2</sub></span> (600 ppm) at our study site in the central Amazon to quantify the impact of P limitation on CO<span class="inline-formula"><sub>2</sub></span> fertilization. We compare our results against the current state-of-the-art CNP models using the same methodology that was used in the AmazonFACE model intercomparison study. The model is able to reproduce the observed plant and soil P pools and fluxes used for evaluation under ambient CO<span class="inline-formula"><sub>2</sub></span>. We estimate P to limit net primary productivity (NPP) by 24 % under current CO<span class="inline-formula"><sub>2</sub></span> and by 46 % under elevated CO<span class="inline-formula"><sub>2</sub></span>. Under elevated CO<span class="inline-formula"><sub>2</sub></span>, biomass in simulations accounting for CNP increase by 10 % relative to contemporary CO<span class="inline-formula"><sub>2</sub></span> conditions, although it is 5 % lower compared to CN- and C-only simulations. Our results highlight the potential for high P limitation and therefore lower CO<span class="inline-formula"><sub>2</sub></span> fertilization capacity in the Amazon rainforest with low-fertility soils.</p>https://gmd.copernicus.org/articles/15/5241/2022/gmd-15-5241-2022.pdf |
| spellingShingle | M. A. Nakhavali L. M. Mercado L. M. Mercado I. P. Hartley S. Sitch F. V. Cunha R. di Ponzio L. F. Lugli C. A. Quesada K. M. Andersen K. M. Andersen K. M. Andersen S. E. Chadburn A. J. Wiltshire A. J. Wiltshire D. B. Clark G. Ribeiro L. Siebert A. C. M. Moraes J. Schmeisk Rosa R. Assis J. L. Camargo Representation of the phosphorus cycle in the Joint UK Land Environment Simulator (vn5.5_JULES-CNP) Geoscientific Model Development |
| title | Representation of the phosphorus cycle in the Joint UK Land Environment Simulator (vn5.5_JULES-CNP) |
| title_full | Representation of the phosphorus cycle in the Joint UK Land Environment Simulator (vn5.5_JULES-CNP) |
| title_fullStr | Representation of the phosphorus cycle in the Joint UK Land Environment Simulator (vn5.5_JULES-CNP) |
| title_full_unstemmed | Representation of the phosphorus cycle in the Joint UK Land Environment Simulator (vn5.5_JULES-CNP) |
| title_short | Representation of the phosphorus cycle in the Joint UK Land Environment Simulator (vn5.5_JULES-CNP) |
| title_sort | representation of the phosphorus cycle in the joint uk land environment simulator vn5 5 jules cnp |
| url | https://gmd.copernicus.org/articles/15/5241/2022/gmd-15-5241-2022.pdf |
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