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Titel |
Ignoring detailed fast-changing dynamics of land use overestimates regional terrestrial carbon sequestration |
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 ; 6, no. 8 ; Nr. 6, no. 8 (2009-08-12), S.1647-1654 |
Datensatznummer |
250003953
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Publikation (Nr.) |
copernicus.org/bg-6-1647-2009.pdf |
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Zusammenfassung |
Land use change is critical in determining the distribution, magnitude and
mechanisms of terrestrial carbon budgets at the local to global scales. To
date, almost all regional to global carbon cycle studies are driven by a
static land use map or land use change statistics with decadal time
intervals. The biases in quantifying carbon exchange between the terrestrial
ecosystems and the atmosphere caused by using such land use change
information have not been investigated. Here, we used the General Ensemble
biogeochemical Modeling System (GEMS), along with consistent and spatially
explicit land use change scenarios with different intervals (1 yr, 5 yrs,
10 yrs and static, respectively), to evaluate the impacts of land use change
data frequency on estimating regional carbon sequestration in the
southeastern United States. Our results indicate that ignoring the detailed
fast-changing dynamics of land use can lead to a significant overestimation
of carbon uptake by the terrestrial ecosystem. Regional carbon sequestration
increased from 0.27 to 0.69, 0.80 and 0.97 Mg C ha−1 yr−1 when
land use change data frequency shifting from 1 year to 5 years, 10 years
interval and static land use information, respectively. Carbon removal by
forest harvesting and prolonged cumulative impacts of historical land use
change on carbon cycle accounted for the differences in carbon sequestration
between static and dynamic land use change scenarios. The results suggest
that it is critical to incorporate the detailed dynamics of land use change
into local to global carbon cycle studies. Otherwise, it is impossible to
accurately quantify the geographic distributions, magnitudes, and mechanisms
of terrestrial carbon sequestration at the local to global scales. |
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