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BEYOND POTENTIAL VEGETATION: COMBINING LIDAR DATA AND A HEIGHT‐STRUCTURED MODEL FOR CARBON STUDIES
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| Zeitschriftentitel: | Ecological Applications |
|---|---|
| Personen und Körperschaften: | , , , , , , |
| In: | Ecological Applications, 14, 2004, 3, S. 873-883 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Wiley
|
| Schlagwörter: |
| author_facet |
Hurtt, George C. Dubayah, Ralph Drake, Jason Moorcroft, Paul R. Pacala, Stephen W. Blair, J. Bryan Fearon, Matthew G. Hurtt, George C. Dubayah, Ralph Drake, Jason Moorcroft, Paul R. Pacala, Stephen W. Blair, J. Bryan Fearon, Matthew G. |
|---|---|
| author |
Hurtt, George C. Dubayah, Ralph Drake, Jason Moorcroft, Paul R. Pacala, Stephen W. Blair, J. Bryan Fearon, Matthew G. |
| spellingShingle |
Hurtt, George C. Dubayah, Ralph Drake, Jason Moorcroft, Paul R. Pacala, Stephen W. Blair, J. Bryan Fearon, Matthew G. Ecological Applications BEYOND POTENTIAL VEGETATION: COMBINING LIDAR DATA AND A HEIGHT‐STRUCTURED MODEL FOR CARBON STUDIES Ecology |
| author_sort |
hurtt, george c. |
| spelling |
Hurtt, George C. Dubayah, Ralph Drake, Jason Moorcroft, Paul R. Pacala, Stephen W. Blair, J. Bryan Fearon, Matthew G. 1051-0761 1939-5582 Wiley Ecology http://dx.doi.org/10.1890/02-5317 <jats:p>Carbon estimates from terrestrial ecosystem models are limited by large uncertainties in the current state of the land surface. Natural and anthropogenic disturbances have important and lasting influences on ecosystem structure and fluxes that can be difficult to detect or assess with conventional methods. In this study, we combined two recent advances in remote sensing and ecosystem modeling to improve model carbon stock and flux estimates at a tropical forest study site at La Selva, Costa Rica (10°25′ N, 84°00′ W). Airborne lidar remote sensing was used to measure spatial heterogeneity in the vertical structure of vegetation. The ecosystem demography model (ED) was used to estimate the consequences of this heterogeneity for regional estimates of carbon stocks and fluxes. Lidar data provided substantial constraints on model estimates of both carbon stocks and net carbon fluxes. Lidar‐initialized ED estimates of aboveground biomass were within 1.2% of regression‐based approaches, and corresponding model estimates of net carbon fluxes differed substantially from bracketing alternatives. The results of this study provide a promising illustration of the power of combining lidar data on vegetation height with a height‐structured ecosystem model. Extending these analyses to larger scales will require the development of regional and global lidar data sets, and the continued development and application of height structured ecosystem models.</jats:p> BEYOND POTENTIAL VEGETATION: COMBINING LIDAR DATA AND A HEIGHT‐STRUCTURED MODEL FOR CARBON STUDIES Ecological Applications |
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Wiley, 2004 |
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Ecological Applications |
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49 |
| title |
BEYOND POTENTIAL VEGETATION: COMBINING LIDAR DATA AND A HEIGHT‐STRUCTURED MODEL FOR CARBON STUDIES |
| title_unstemmed |
BEYOND POTENTIAL VEGETATION: COMBINING LIDAR DATA AND A HEIGHT‐STRUCTURED MODEL FOR CARBON STUDIES |
| title_full |
BEYOND POTENTIAL VEGETATION: COMBINING LIDAR DATA AND A HEIGHT‐STRUCTURED MODEL FOR CARBON STUDIES |
| title_fullStr |
BEYOND POTENTIAL VEGETATION: COMBINING LIDAR DATA AND A HEIGHT‐STRUCTURED MODEL FOR CARBON STUDIES |
| title_full_unstemmed |
BEYOND POTENTIAL VEGETATION: COMBINING LIDAR DATA AND A HEIGHT‐STRUCTURED MODEL FOR CARBON STUDIES |
| title_short |
BEYOND POTENTIAL VEGETATION: COMBINING LIDAR DATA AND A HEIGHT‐STRUCTURED MODEL FOR CARBON STUDIES |
| title_sort |
beyond potential vegetation: combining lidar data and a height‐structured model for carbon studies |
| topic |
Ecology |
| url |
http://dx.doi.org/10.1890/02-5317 |
| publishDate |
2004 |
| physical |
873-883 |
| description |
<jats:p>Carbon estimates from terrestrial ecosystem models are limited by large uncertainties in the current state of the land surface. Natural and anthropogenic disturbances have important and lasting influences on ecosystem structure and fluxes that can be difficult to detect or assess with conventional methods. In this study, we combined two recent advances in remote sensing and ecosystem modeling to improve model carbon stock and flux estimates at a tropical forest study site at La Selva, Costa Rica (10°25′ N, 84°00′ W). Airborne lidar remote sensing was used to measure spatial heterogeneity in the vertical structure of vegetation. The ecosystem demography model (ED) was used to estimate the consequences of this heterogeneity for regional estimates of carbon stocks and fluxes. Lidar data provided substantial constraints on model estimates of both carbon stocks and net carbon fluxes. Lidar‐initialized ED estimates of aboveground biomass were within 1.2% of regression‐based approaches, and corresponding model estimates of net carbon fluxes differed substantially from bracketing alternatives. The results of this study provide a promising illustration of the power of combining lidar data on vegetation height with a height‐structured ecosystem model. Extending these analyses to larger scales will require the development of regional and global lidar data sets, and the continued development and application of height structured ecosystem models.</jats:p> |
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| author | Hurtt, George C., Dubayah, Ralph, Drake, Jason, Moorcroft, Paul R., Pacala, Stephen W., Blair, J. Bryan, Fearon, Matthew G. |
| author_facet | Hurtt, George C., Dubayah, Ralph, Drake, Jason, Moorcroft, Paul R., Pacala, Stephen W., Blair, J. Bryan, Fearon, Matthew G., Hurtt, George C., Dubayah, Ralph, Drake, Jason, Moorcroft, Paul R., Pacala, Stephen W., Blair, J. Bryan, Fearon, Matthew G. |
| author_sort | hurtt, george c. |
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| container_title | Ecological Applications |
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| description | <jats:p>Carbon estimates from terrestrial ecosystem models are limited by large uncertainties in the current state of the land surface. Natural and anthropogenic disturbances have important and lasting influences on ecosystem structure and fluxes that can be difficult to detect or assess with conventional methods. In this study, we combined two recent advances in remote sensing and ecosystem modeling to improve model carbon stock and flux estimates at a tropical forest study site at La Selva, Costa Rica (10°25′ N, 84°00′ W). Airborne lidar remote sensing was used to measure spatial heterogeneity in the vertical structure of vegetation. The ecosystem demography model (ED) was used to estimate the consequences of this heterogeneity for regional estimates of carbon stocks and fluxes. Lidar data provided substantial constraints on model estimates of both carbon stocks and net carbon fluxes. Lidar‐initialized ED estimates of aboveground biomass were within 1.2% of regression‐based approaches, and corresponding model estimates of net carbon fluxes differed substantially from bracketing alternatives. The results of this study provide a promising illustration of the power of combining lidar data on vegetation height with a height‐structured ecosystem model. Extending these analyses to larger scales will require the development of regional and global lidar data sets, and the continued development and application of height structured ecosystem models.</jats:p> |
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| imprint | Wiley, 2004 |
| imprint_str_mv | Wiley, 2004 |
| institution | DE-D275, DE-Bn3, DE-Brt1, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229 |
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| physical | 873-883 |
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| series | Ecological Applications |
| source_id | 49 |
| spelling | Hurtt, George C. Dubayah, Ralph Drake, Jason Moorcroft, Paul R. Pacala, Stephen W. Blair, J. Bryan Fearon, Matthew G. 1051-0761 1939-5582 Wiley Ecology http://dx.doi.org/10.1890/02-5317 <jats:p>Carbon estimates from terrestrial ecosystem models are limited by large uncertainties in the current state of the land surface. Natural and anthropogenic disturbances have important and lasting influences on ecosystem structure and fluxes that can be difficult to detect or assess with conventional methods. In this study, we combined two recent advances in remote sensing and ecosystem modeling to improve model carbon stock and flux estimates at a tropical forest study site at La Selva, Costa Rica (10°25′ N, 84°00′ W). Airborne lidar remote sensing was used to measure spatial heterogeneity in the vertical structure of vegetation. The ecosystem demography model (ED) was used to estimate the consequences of this heterogeneity for regional estimates of carbon stocks and fluxes. Lidar data provided substantial constraints on model estimates of both carbon stocks and net carbon fluxes. Lidar‐initialized ED estimates of aboveground biomass were within 1.2% of regression‐based approaches, and corresponding model estimates of net carbon fluxes differed substantially from bracketing alternatives. The results of this study provide a promising illustration of the power of combining lidar data on vegetation height with a height‐structured ecosystem model. Extending these analyses to larger scales will require the development of regional and global lidar data sets, and the continued development and application of height structured ecosystem models.</jats:p> BEYOND POTENTIAL VEGETATION: COMBINING LIDAR DATA AND A HEIGHT‐STRUCTURED MODEL FOR CARBON STUDIES Ecological Applications |
| spellingShingle | Hurtt, George C., Dubayah, Ralph, Drake, Jason, Moorcroft, Paul R., Pacala, Stephen W., Blair, J. Bryan, Fearon, Matthew G., Ecological Applications, BEYOND POTENTIAL VEGETATION: COMBINING LIDAR DATA AND A HEIGHT‐STRUCTURED MODEL FOR CARBON STUDIES, Ecology |
| title | BEYOND POTENTIAL VEGETATION: COMBINING LIDAR DATA AND A HEIGHT‐STRUCTURED MODEL FOR CARBON STUDIES |
| title_full | BEYOND POTENTIAL VEGETATION: COMBINING LIDAR DATA AND A HEIGHT‐STRUCTURED MODEL FOR CARBON STUDIES |
| title_fullStr | BEYOND POTENTIAL VEGETATION: COMBINING LIDAR DATA AND A HEIGHT‐STRUCTURED MODEL FOR CARBON STUDIES |
| title_full_unstemmed | BEYOND POTENTIAL VEGETATION: COMBINING LIDAR DATA AND A HEIGHT‐STRUCTURED MODEL FOR CARBON STUDIES |
| title_short | BEYOND POTENTIAL VEGETATION: COMBINING LIDAR DATA AND A HEIGHT‐STRUCTURED MODEL FOR CARBON STUDIES |
| title_sort | beyond potential vegetation: combining lidar data and a height‐structured model for carbon studies |
| title_unstemmed | BEYOND POTENTIAL VEGETATION: COMBINING LIDAR DATA AND A HEIGHT‐STRUCTURED MODEL FOR CARBON STUDIES |
| topic | Ecology |
| url | http://dx.doi.org/10.1890/02-5317 |