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Soil Organic Carbon Modeling with th...

Le, Kieu Ngoc.

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Soil Organic Carbon Modeling with the EPIC Model for Conservation Agriculture and Conservation Tillage Practices in Cambodia.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Soil Organic Carbon Modeling with the EPIC Model for Conservation Agriculture and Conservation Tillage Practices in Cambodia./
作者:	Le, Kieu Ngoc.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	161 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-10(E), Section: B.
Contained By:	Dissertation Abstracts International78-10B(E).
標題:	Environmental studies. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10277376
ISBN:	9781369851441

Soil Organic Carbon Modeling with the EPIC Model for Conservation Agriculture and Conservation Tillage Practices in Cambodia.
Le, Kieu Ngoc.

Soil Organic Carbon Modeling with the EPIC Model for Conservation Agriculture and Conservation Tillage Practices in Cambodia. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 161 p.

Source: Dissertation Abstracts International, Volume: 78-10(E), Section: B.

Thesis (Ph.D.)--North Carolina Agricultural and Technical State University, 2017.

In this study, the Environmental Policy Integrated Climate (EPIC) model was used to evaluate the impact of conservation agriculture (CA) and conservation tillage (CT) on crop yields and soil organic carbon (SOC) in tropical conditions for unique sets of upland rice, soybean, and cassava cropping systems in Cambodia. New parameters were developed and tested for banana, cassava, sesame, sunn hemp, stylo, and congo grass. Results showed that EPIC successfully replicated crop yields of soybean, upland rice, maize, and cassava with R2 statistics ranging from 0.62 to 0.88 (p < 0.001) and all the PBIAS values less than 10%. The R2 of the simulated biomass for all the crops (including cover crops) versus the measured biomass was 0.86 (p < 0.001). SOC sequestration was successfully simulated for each rice, soybean, and cassava system as evidenced by reasonable prediction values (PBIAS less than 13%), and a strong relationship (overall R2 was 0.96 for CT and 0.73 for CA treatments) when compared with the measured values. However, the model tended to underestimate SOC in the CT treatments and overestimate SOC in the primary crops -- maize rotated treatments. Furthermore, impact of future climate change on SOC was analyzed by forcing the well calibrated EPIC model with bias-corrected future climatic data (2046-2064 and 2081-2100) of GFDL CM2.1 model. The average SOC reduced by 0.3%, 1.8% and 2.3% under rice, soybean and cassava cropping systems, respectively with the two future climatic data compared to the baseline after 100 years of simulation. Only SOC under CA continuous rice treatments increased 2.2% on the average of the two future climatic data. The impacts of cropping systems and crop rotations on SOC were higher than the impact of projected future climate. The rice cropping systems overall could sequester additional 25% SOC while the cassava and soybean systems overall released 4% and 10% SOC, respectively in the course of 100 years with the baseline climate. The CA treatments with maize rotation increase the greatest amount of SOC compared to CA continuous primary crop.

ISBN: 9781369851441Subjects--Topical Terms:

2122803
Environmental studies.

Soil Organic Carbon Modeling with the EPIC Model for Conservation Agriculture and Conservation Tillage Practices in Cambodia.
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