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@ARTICLE{Dold:888313,
author = {Dold, Christian and Wacha, K. M. and Sauer, T. J. and
Hatfield, J. L. and Prueger, J. H.},
title = {{M}easured and simulated carbon dynamics in {M}idwestern
{US} corn‐soybean rotations},
journal = {Global biogeochemical cycles},
volume = {35},
number = {1},
issn = {1944-9224},
address = {Hoboken, NJ},
publisher = {Wiley},
reportid = {FZJ-2020-04833},
pages = {e2020GB006685},
year = {2021},
abstract = {Corn (Zea mays L.) and soybean (Glycine max [L.] Merr.)
production dominate Midwestern U.S. agriculture and impact
the regional carbon and nitrogen cycles. Sustaining soil
carbon is important for corn‐soybean production (CS);
however, quantifying soil carbon changes requires
long‐term field measurements and/or model simulations. In
this study, changes in soil organic (SOC), inorganic (SIC),
and total (TC) carbon; pH; total nitrogen (TN); and net
ecosystem production (NEP) were measured in a conventional
corn‐soybean rotation in central Iowa. Soil samples (n =
42; 0–120 cm depth) were collected from two adjacent
fields in 2005 and 2016. Eddy‐flux stations set up in the
fields continuously monitored NEP from 2005–2016, and net
biome production (NBP) was calculated using yield records.
The DayCENT model was used to simulate the effects of
conventional management practices on soil carbon and
calibrated with field‐measured NEP and SOC. Measured soil
TC (0–120 cm) decreased by −14.19 ± 6.25 Mg ha−1,
with highest reductions in SOC and SIC (p < 0.05) at 0–15
and 90–120 cm, respectively. Measured TN decreased by
−0.7 ± 0.29 Mg ha−1 with N‐accumulation at 60–90 cm
(p < 0.05). Eddy‐flux NBP decreased by −13.19 ± 0.05 Mg
ha−1. Soil and eddy‐flux records show a carbon reduction
by −1.14 ± 0.63 and −1.20 ± 0.06 Mg ha−1 yr−1,
respectively. The validated DayCENT model suggests that all
SOC pools declined. We postulate that conventional CS
production has adverse effects on C and N dynamics in
Midwestern United States.},
cin = {IBG-3},
ddc = {540},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255) / 2173 - Agro-biogeosystems: controls, feedbacks
and impact (POF4-217)},
pid = {G:(DE-HGF)POF3-255 / G:(DE-HGF)POF4-2173},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000613330700003},
doi = {10.1029/2020GB006685},
url = {https://juser.fz-juelich.de/record/888313},
}