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| Titel |
A spatial resolution threshold of land cover in estimating terrestrial carbon sequestration in four counties in Georgia and Alabama, USA |
| VerfasserIn |
S. Q. Zhao, S. Liu, Z. Li, T. L. Sohl |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1726-4170
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| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 7, no. 1 ; Nr. 7, no. 1 (2010-01-07), S.71-80 |
| Datensatznummer |
250004365
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| Publikation (Nr.) |
 copernicus.org/bg-7-71-2010.pdf |
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| Zusammenfassung |
| Changes in carbon density (i.e., carbon stock per unit area) and land cover
greatly affect carbon sequestration. Previous studies have shown that land
cover change detection strongly depends on spatial scale. However, the
influence of the spatial resolution of land cover change information on the
estimated terrestrial carbon sequestration is not known. Here, we quantified
and evaluated the impact of land cover change databases at various spatial
resolutions (250 m, 500 m, 1 km, 2 km, and 4 km) on the magnitude and
spatial patterns of regional carbon sequestration in four counties in
Georgia and Alabama using the General Ensemble biogeochemical Modeling
System (GEMS). Results indicated a threshold of 1 km in the land cover
change databases and in the estimated regional terrestrial carbon
sequestration. Beyond this threshold, significant biases occurred in the
estimation of terrestrial carbon sequestration, its interannual variability,
and spatial patterns. In addition, the overriding impact of interannual
climate variability on the temporal change of regional carbon sequestration
was unrealistically overshadowed by the impact of land cover change beyond
the threshold. The implications of these findings directly challenge current
continental- to global-scale carbon modeling efforts relying on information
at coarse spatial resolution without incorporating fine-scale land cover
dynamics. |
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