Modeled Carbon Responses of Tundra Ecosystems to Historical and Projected Climate
Summary
This data set contains the model output data of Terrestrial Ecosystem Model (TEM) simulations from 1920-2100 for both moist tundra and polar desert/alpine tundra for the Pan-arctic, compared to output for the Kuparuk River Basin (moist tundra).
TEM simulates C and N fluxes and pools. 5,942 grid cells were used in the Pan-arctic simulation, of which 3,614 were considered polar desert/alpine tundra and 2,328 were considered moist tundra. All 19 grid cells in the Kuparuk simulation were considered moist tundra. The values of several ecosystem variables are compared between the Pan-arctic and Kuparuk.
The results of this study are presented and discussed in McGuire et al. (2000), Modeling carbon responses of tundra ecosystems to historical and projected climate: sensitivity of Pan-arctic carbon storage to temporal and spatial variation in climate. Global Change Biology 6: 141-159.
The simulations use the moist tundra and polar desert/alpine tundra calibrations developed by McGuire et al. (1992), based on data from Toolik Lake, Alaska.
Data access
- download: NSF Arctic Data Center
Additional information
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| Spatial Type | multiple |
| Frequency | other |
| Language | English |
| Grant Code | OPP-9614253 |
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Temporal coverage
| Begin datetime | 1920-01-01 00:00:00 |
| End datetime | 2100-12-31 23:59:59 |
Spatial coverage
Map data from IBCSO, IBCAO, and Global Topography.
Maximum (North) Latitude:
90.00,
Minimum (South) Latitude:
50.00
Minimum (West) Longitude:
-180.00,
Maximum (East) Longitude:
180.00
Primary point of contact information
A. Dave McGuire <ffadm@uaf.edu>
Additional contact information
- author: A. Dave McGuire <ffadm@uaf.edu>
- author: Joy S. Clein <jsclein@alaska.edu>
- originator: A. Dave McGuire <ffadm@uaf.edu>
- pointOfContact: A. Dave McGuire <ffadm@uaf.edu>
Citation
McGuire, A., Clein, J. 2009. Modeled Carbon Responses of Tundra Ecosystems to Historical and Projected Climate. Version 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.5065/D6ZW1J2G. Accessed 23 Dec 2024.
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