2017
DOI: 10.1002/jpln.201600578
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Estimating soil carbon dynamics in intercrop and sole crop agroecosystems using the Century model

Abstract: Using process‐based models to predict changes in carbon (C) stocks enhances our knowledge on the long‐term dynamics of soil organic carbon (SOC) in various land management systems. The objective of this study was to apply the Century model to evaluate temporal SOC dynamics in two temperate intercrop systems [1:2 (one row of maize and two rows of soybeans); 2:3 intercrop (two rows of maize and three rows of soybean)] and in a maize and soybean sole crop. Upon initiation of intercropping, SOC increased by 47% af… Show more

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Cited by 13 publications
(8 citation statements)
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“…We used Century version 4.0 because it is widely adopted to simulate changes in soil organic carbon under different agroecosystem management practices and environmental conditions (Smith et al 2007;Oelbermann et al 2017). We calibrated Century using data collected from the field site.…”
Section: Century Model Parameterizationmentioning
confidence: 99%
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“…We used Century version 4.0 because it is widely adopted to simulate changes in soil organic carbon under different agroecosystem management practices and environmental conditions (Smith et al 2007;Oelbermann et al 2017). We calibrated Century using data collected from the field site.…”
Section: Century Model Parameterizationmentioning
confidence: 99%
“…However, Dynarski et al (2020) noted that a lack of knowledge exists on the longevity and permanence of carbon in soil from the organic matter supplied by biobased residues under conventional and conservation agroecosystem management practices. This knowledge gap can be addressed with the aid of process-based models (e.g., Century, DNDC and RothC) that predict long-term changes in soil organic carbon dynamics under continuous cropping and crop rotation (Oelbermann et al 2017;Singh and Benbi 2020).…”
Section: Introductionmentioning
confidence: 99%
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“…To date, empirical and process-based crop models are only able to simulate a limited number of interactions within an intercropped or relay-cropped system (Gaudio et al 2019;Tanveer et al 2017). This often leads to modelling crops independently and not as a part of a cropping system (Oelbermann et al 2017), therefore overlooking synergic and competitive effects between species and their combined effect on the soil biogeochemistry. This is the case when the models are employed in this study to estimate N-related field emissions.…”
Section: Modelling Limitations In Relay-cropped Systemsmentioning
confidence: 99%
“…Agricultural activity can be paradoxical, from soil exploitation that results in increased greenhouse gas emissions to the search for maintaining soil organic C, which is seen as an opportunity to mitigate climate change. The adverse effects of land misuse result in a decrease in C stocks and the acceleration of soil degradation, which can compromise ecosystems that are essential to human welfare and the preservation of nature (Oelbermann et al, 2017;Althoff et al, 2018).…”
Section: Introductionmentioning
confidence: 99%