Scaling an Instantaneous Model of Tundra NEE to the Arctic Landscape
We scale a model of net ecosystem CO 2 exchange (NEE) for tundra ecosystems and assess model performance using eddy covariance measurements at three tundra sites. The model, initially developed using instantaneous (seconds-minutes) chamber flux (~m 2) observations, independently represents ecosystem...
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ftcarletonunivir:oai:carleton.ca:5358 2023-05-15T14:57:16+02:00 Scaling an Instantaneous Model of Tundra NEE to the Arctic Landscape Loranty, M.M. (Michael M.) Goetz, S.J. (Scott J.) Rastetter, E.B. (Edward B.) Rocha, A.V. (Adrian V.) Shaver, G.R. (Gaius R.) Humphreys, E. (Elyn) Lafleur, P.M. (Peter M.) 2011-01-01 https://ir.library.carleton.ca/pub/5358 https://doi.org/10.1007/s10021-010-9396-4 en eng https://ir.library.carleton.ca/pub/5358 doi:10.1007/s10021-010-9396-4 Ecosystems vol. 14 no. 1, pp. 76-93 arctic carbon exchange CO 2 flux modeling NEE tundra upscaling info:eu-repo/semantics/article 2011 ftcarletonunivir https://doi.org/10.1007/s10021-010-9396-4 2022-02-06T21:51:44Z We scale a model of net ecosystem CO 2 exchange (NEE) for tundra ecosystems and assess model performance using eddy covariance measurements at three tundra sites. The model, initially developed using instantaneous (seconds-minutes) chamber flux (~m 2) observations, independently represents ecosystem respiration (ER) and gross primary production (GPP), and requires only temperature (T), photosynthetic photon flux density (I 0), and leaf area index (L) as inputs. We used a synthetic data set to parameterize the model so that available in situ observations could be used to assess the model. The model was then scaled temporally to daily resolution and spatially to about 1 km 2 resolution, and predicted values of NEE, and associated input variables, were compared to observations obtained from eddy covariance measurements at three flux tower sites over several growing seasons. We compared observations to modeled NEE calculated using T and I 0 measured at the towers, and L derived from MODIS data. Cumulative NEE estimates were within 17 and 11% of instrumentation period and growing season observations, respectively. Predictions improved when one site-year experiencing anomalously dry conditions was excluded Article in Journal/Newspaper Arctic Tundra Carleton University's Institutional Repository Arctic Ecosystems 14 1 76 93 |
institution |
Open Polar |
collection |
Carleton University's Institutional Repository |
op_collection_id |
ftcarletonunivir |
language |
English |
topic |
arctic carbon exchange CO 2 flux modeling NEE tundra upscaling |
spellingShingle |
arctic carbon exchange CO 2 flux modeling NEE tundra upscaling Loranty, M.M. (Michael M.) Goetz, S.J. (Scott J.) Rastetter, E.B. (Edward B.) Rocha, A.V. (Adrian V.) Shaver, G.R. (Gaius R.) Humphreys, E. (Elyn) Lafleur, P.M. (Peter M.) Scaling an Instantaneous Model of Tundra NEE to the Arctic Landscape |
topic_facet |
arctic carbon exchange CO 2 flux modeling NEE tundra upscaling |
description |
We scale a model of net ecosystem CO 2 exchange (NEE) for tundra ecosystems and assess model performance using eddy covariance measurements at three tundra sites. The model, initially developed using instantaneous (seconds-minutes) chamber flux (~m 2) observations, independently represents ecosystem respiration (ER) and gross primary production (GPP), and requires only temperature (T), photosynthetic photon flux density (I 0), and leaf area index (L) as inputs. We used a synthetic data set to parameterize the model so that available in situ observations could be used to assess the model. The model was then scaled temporally to daily resolution and spatially to about 1 km 2 resolution, and predicted values of NEE, and associated input variables, were compared to observations obtained from eddy covariance measurements at three flux tower sites over several growing seasons. We compared observations to modeled NEE calculated using T and I 0 measured at the towers, and L derived from MODIS data. Cumulative NEE estimates were within 17 and 11% of instrumentation period and growing season observations, respectively. Predictions improved when one site-year experiencing anomalously dry conditions was excluded |
format |
Article in Journal/Newspaper |
author |
Loranty, M.M. (Michael M.) Goetz, S.J. (Scott J.) Rastetter, E.B. (Edward B.) Rocha, A.V. (Adrian V.) Shaver, G.R. (Gaius R.) Humphreys, E. (Elyn) Lafleur, P.M. (Peter M.) |
author_facet |
Loranty, M.M. (Michael M.) Goetz, S.J. (Scott J.) Rastetter, E.B. (Edward B.) Rocha, A.V. (Adrian V.) Shaver, G.R. (Gaius R.) Humphreys, E. (Elyn) Lafleur, P.M. (Peter M.) |
author_sort |
Loranty, M.M. (Michael M.) |
title |
Scaling an Instantaneous Model of Tundra NEE to the Arctic Landscape |
title_short |
Scaling an Instantaneous Model of Tundra NEE to the Arctic Landscape |
title_full |
Scaling an Instantaneous Model of Tundra NEE to the Arctic Landscape |
title_fullStr |
Scaling an Instantaneous Model of Tundra NEE to the Arctic Landscape |
title_full_unstemmed |
Scaling an Instantaneous Model of Tundra NEE to the Arctic Landscape |
title_sort |
scaling an instantaneous model of tundra nee to the arctic landscape |
publishDate |
2011 |
url |
https://ir.library.carleton.ca/pub/5358 https://doi.org/10.1007/s10021-010-9396-4 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Tundra |
genre_facet |
Arctic Tundra |
op_source |
Ecosystems vol. 14 no. 1, pp. 76-93 |
op_relation |
https://ir.library.carleton.ca/pub/5358 doi:10.1007/s10021-010-9396-4 |
op_doi |
https://doi.org/10.1007/s10021-010-9396-4 |
container_title |
Ecosystems |
container_volume |
14 |
container_issue |
1 |
container_start_page |
76 |
op_container_end_page |
93 |
_version_ |
1766329359304491008 |