Access the full text.
Sign up today, get DeepDyve free for 14 days.
R. Conant, J. Six, K. Paustian (2003)
Land use effects on soil carbon fractions in the southeastern United States. I. Management-intensive versus extensive grazingBiology and Fertility of Soils, 38
D. Schimel, B. Braswell, E. Holland, R. Mckeown, D. Ojima, T. Painter, W. Parton, A. Townsend (1994)
Climatic, edaphic, and biotic controls over storage and turnover of carbon in soilsGlobal Biogeochemical Cycles, 8
P. Reich, D. Tilman, J. Craine, D. Ellsworth, M. Tjoelker, J. Knops, D. Wedin, S. Naeem, Dan Bahauddin, Jenny Goth, Wendy Bengtson, Tali Lee (2001)
Do species and functional groups differ in acquisition and use of C, N and water under varying atmospheric CO2 and N availability regimes? : a field test with 16 grassland speciesNew Phytologist, 150
W. Post, K. Kwon (2000)
Soil carbon sequestration and land‐use change: processes and potentialGlobal Change Biology, 6
Z. Tan, R. Lal (2005)
Carbon sequestration potential estimates with changes in land use and tillage practice in Ohio, USAAgriculture, Ecosystems & Environment, 111
K. Paustian, G. Robertson, E. Elliott (1995)
Management Impacts on Carbon Storage and Gas Fluxes (C0 2 , CH.Jin Mid-Latitude Cropland
T. Loveland, T. Sohl, S. Stehman, A. Gallant, K. Sayler, D. Napton (2002)
A Strategy for Estimating the Rates of Recent United States Land-Cover ChangesPhotogrammetric Engineering and Remote Sensing, 68
(1994)
State Soil Geographic (STATSGO) Data Base: Data use information, Misc. Publ. 1492, 110 pp
Z. Tan, R. Lal, N. Smeck, F. Calhoun (2004)
Relationships between surface soil organic carbon pool and site variablesGeoderma, 121
H. Jenny (1983)
The soil resource. Origin and behaviorVegetatio, 57
S. Ogle, F. breidt, M. Eve, K. Paustian (2003)
Uncertainty in estimating land use and management impacts on soil organic carbon storage for US agricultural lands between 1982 and 1997Global Change Biology, 9
Tan Tan, Lal Lal, Smeck Smeck, Calhoun Calhoun, Parkinson Parkinson, Gehring Gehring (2004)
Relationships between soil organic carbon pool and site variables in OhioGeoderma, 121
(1998)
Spatial patterns in soil organic carbon pool size in the northwestern United States, in Soil Processes and the Carbon Cycle
W. Parton, J. Scurlock, D. Ojima, T. Gilmanov, R. Scholes, D. Schimel, T. Kirchner, J. Menaut, T. Seastedt, E. Moya, A. Kamnalrut, J. Kinyamario (1993)
Observations and modeling of biomass and soil organic matter dynamics for the grassland biome worldwideGlobal Biogeochemical Cycles, 7
K. Paustian, G. Robertson, E. Elliott (1995)
Management impacts on carbon storage and gas fluxes (CO2, CH4) in mid-latitude cropland ecosystems
J. Dieleman, D. Mortensen, D. Buhler, C. Cambardella, T. Moorman (2000)
Identifying associations among site properties and weed species abundance. I. Multivariate analysis, 48
J. Six, R. Conant, E. Paul, K. Paustian (2002)
Stabilization mechanisms of soil organic matter: Implications for C-saturation of soilsPlant and Soil, 241
V. Dale (1997)
THE RELATIONSHIP BETWEEN LAND‐USE CHANGE AND CLIMATE CHANGEEcological Applications, 7
T. Tóth, S. Matsumoto, R. Mao, Yanfeng Yin (1995)
PRECISION OF PREDICTING SOIL SALINITY BASED ON VEGETATION CATEGORIES OF ABANDONED LANDSSoil Science, 160
J. Jastrow, R. Miller (1996)
Soil aggregate stabilization and carbon sequestration: Feedbacks through organomineral associations
Z. Tan, R. Lal, N. Smeck, F. Calhoun, R. Gehring, B. Parkinson (2003)
IDENTIFYING ASSOCIATIONS AMONG SOIL AND SITE VARIABLES USING CANONICAL CORRELATION ANALYSISSoil Science, 168
J. Dieleman, D. Mortensen, D. Buhler, R. Ferguson (2000)
Identifying associations among site properties and weed species abundance. II. Hypothesis generation, 48
W. Parton, D. Schimel, C. Cole, D. Ojima (1987)
Analysis of factors controlling soil organic matter levels in Great Plains grasslandsSoil Science Society of America Journal, 51
D. Grigal, L. Ohmann (1992)
Carbon Storage in Upland Forests of the Lake StatesSoil Science Society of America Journal, 56
T. West, W. Post (2002)
Soil organic carbon sequestration rates by tillage and crop rotation : A global data analysisSoil Science Society of America Journal, 66
W. Reiners, S. Liu, K. Gerow, M. Keller, D. Schimel (2002)
Historical and future land use effects on N2O and NO emissions using an ensemble modeling approach: Costa Rica's Caribbean lowlands as an exampleGlobal Biogeochemical Cycles, 16
S. Liua, M. Kair, E. Wooda, O. Dialloc, L. Tieszena (2004)
Impacts of land use and climate change on carbon dynamics in south-central Senegal
Z. Tan, Shuguang Liu, C. Johnston, T. Loveland, L. Tieszen, Jinxun Liu, Rachel Kurtz (2005)
Soil organic carbon dynamics as related to land use history in the northwestern Great PlainsGlobal Biogeochemical Cycles, 19
I. Burke, W. Lauenroth, W. Parton (1997)
REGIONAL AND TEMPORAL VARIATION IN NET PRIMARY PRODUCTION AND NITROGEN MINERALIZATION IN GRASSLANDSEcology, 78
W. Lauenroth, O. Sala (1992)
Long-Term Forage Production of North American Shortgrass Steppe.Ecological applications : a publication of the Ecological Society of America, 2 4
R. Houghton, J. Hackler, K. Lawrence (1999)
The U.S. Carbon budget: contributions from land-Use changeScience, 285 5427
I. Burke, C. Yonker, W. Parton, C. Cole, K. Flach, D. Schimel (1989)
Texture, climate, and cultivation effects on soil organic matter content in U.S. grassland soilsSoil Science Society of America Journal, 53
H. Jenny (1982)
The Soil ResourceJournal of Ecology, 70
Shuguang Liu, T. Loveland, Rachel Kurtz (2004)
Contemporary Carbon Dynamics in Terrestrial Ecosystems in the Southeastern Plains of the United StatesEnvironmental Management, 33
M. Cannell, J. Thornley (1998)
N‐poor ecosystems may respond more to elevated [CO2] than N‐rich ones in the long term. A model analysis of grassland.Global Change Biology, 4
Our ability to forecast the role of ecosystem processes in mitigating global greenhouse effects relies on understanding the driving forces on terrestrial C dynamics. This study evaluated the controls on soil organic C (SOC) changes from 1973 to 2000 in the northwest Great Plains. SOC source‐sink relationships were quantified using the General Ensemble Biogeochemical Modeling System (GEMS) based on 40 randomly located 10 × 10 km2 sample blocks. These sample blocks were aggregated into cropland, grassland, and forestland groups based on land cover composition within each sample block. Canonical correlation analysis indicated that SOC source‐sink relationship from 1973 to 2000 was significantly related to the land cover type while the change rates mainly depended on the baseline SOC level and annual precipitation. Of all selected driving factors, the baseline SOC and nitrogen levels controlled the SOC change rates for the forestland and cropland groups, while annual precipitation determined the C source‐sink relationship for the grassland group in which noticeable SOC sink strength was attributed to the conversion from cropped area to grass cover. Canonical correlation analysis also showed that grassland ecosystems are more complicated than others in the ecoregion, which may be difficult to identify on a field scale. Current model simulations need further adjustments to the model input variables for the grass cover‐dominated ecosystems in the ecoregion.
Global Biogeochemical Cycles – Wiley
Published: Dec 1, 2006
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.