Pan-Arctic modelling of net ecosystem exchange of CO2
Net ecosystem exchange (NEE) of C varies greatly among Arctic ecosystems. Here, we show that approximately 75 per cent of this variation can be accounted for in a single regression model that predicts NEE as a function of leaf area index (LAI), air temperature and photosynthetically active radiation...
| Main Authors: | , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Royal Society
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/34491 |
| _version_ | 1855529357654622208 |
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| author | Shaver, G.R. Rastetter, E.B. Salmon, V. Street, L.E. Weg, M.J. van de Rocha, A. Wijk, Mark T. van Williams, M. |
| author_browse | Rastetter, E.B. Rocha, A. Salmon, V. Shaver, G.R. Street, L.E. Weg, M.J. van de Wijk, Mark T. van Williams, M. |
| author_facet | Shaver, G.R. Rastetter, E.B. Salmon, V. Street, L.E. Weg, M.J. van de Rocha, A. Wijk, Mark T. van Williams, M. |
| author_sort | Shaver, G.R. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Net ecosystem exchange (NEE) of C varies greatly among Arctic ecosystems. Here, we show that approximately 75 per cent of this variation can be accounted for in a single regression model that predicts NEE as a function of leaf area index (LAI), air temperature and photosynthetically active radiation (PAR). The model was developed in concert with a survey of the light response of NEE in Arctic and subarctic tundras in Alaska, Greenland, Svalbard and Sweden. Model parametrizations based on data collected in one part of the Arctic can be used to predict NEE in other parts of the Arctic with accuracy similar to that of predictions based on data collected in the same site where NEE is predicted. The principal requirement for the dataset is that it should contain a sufficiently wide range of measurements of NEE at both high and low values of LAI, air temperature and PAR, to properly constrain the estimates of model parameters. Canopy N content can also be substituted for leaf area in predicting NEE, with equal or greater accuracy, but substitution of soil temperature for air temperature does not improve predictions. Overall, the results suggest a remarkable convergence in regulation of NEE in diverse ecosystem types throughout the Arctic. |
| format | Journal Article |
| id | CGSpace34491 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| publisher | Royal Society |
| publisherStr | Royal Society |
| record_format | dspace |
| spelling | CGSpace344912025-02-19T14:14:31Z Pan-Arctic modelling of net ecosystem exchange of CO2 Shaver, G.R. Rastetter, E.B. Salmon, V. Street, L.E. Weg, M.J. van de Rocha, A. Wijk, Mark T. van Williams, M. environment climate change Net ecosystem exchange (NEE) of C varies greatly among Arctic ecosystems. Here, we show that approximately 75 per cent of this variation can be accounted for in a single regression model that predicts NEE as a function of leaf area index (LAI), air temperature and photosynthetically active radiation (PAR). The model was developed in concert with a survey of the light response of NEE in Arctic and subarctic tundras in Alaska, Greenland, Svalbard and Sweden. Model parametrizations based on data collected in one part of the Arctic can be used to predict NEE in other parts of the Arctic with accuracy similar to that of predictions based on data collected in the same site where NEE is predicted. The principal requirement for the dataset is that it should contain a sufficiently wide range of measurements of NEE at both high and low values of LAI, air temperature and PAR, to properly constrain the estimates of model parameters. Canopy N content can also be substituted for leaf area in predicting NEE, with equal or greater accuracy, but substitution of soil temperature for air temperature does not improve predictions. Overall, the results suggest a remarkable convergence in regulation of NEE in diverse ecosystem types throughout the Arctic. 2013-08-19 2014-02-02T10:24:54Z 2014-02-02T10:24:54Z Journal Article https://hdl.handle.net/10568/34491 en Open Access Royal Society Shaver, G.R., Rastetter, E.B., Salmon, V., Street, L.E, Weg, M.J. van de, Rocha, A., Wijk M.T. van and Williams, M. 2013. Pan-Arctic modelling of net ecosystem exchange of CO2. Philosophical Transaction of the Royal Society B 368(1624) |
| spellingShingle | environment climate change Shaver, G.R. Rastetter, E.B. Salmon, V. Street, L.E. Weg, M.J. van de Rocha, A. Wijk, Mark T. van Williams, M. Pan-Arctic modelling of net ecosystem exchange of CO2 |
| title | Pan-Arctic modelling of net ecosystem exchange of CO2 |
| title_full | Pan-Arctic modelling of net ecosystem exchange of CO2 |
| title_fullStr | Pan-Arctic modelling of net ecosystem exchange of CO2 |
| title_full_unstemmed | Pan-Arctic modelling of net ecosystem exchange of CO2 |
| title_short | Pan-Arctic modelling of net ecosystem exchange of CO2 |
| title_sort | pan arctic modelling of net ecosystem exchange of co2 |
| topic | environment climate change |
| url | https://hdl.handle.net/10568/34491 |
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