Kaveh, A., Mahdian, M., Parvizi, Y., Sokouti Oskuee, R., Masih Abadi, M. (2014). Predicting crop management impact on soil carbon storage capacity in drylands using multivariate analysis techniques. , 5(4), 233-242. doi: 10.22092/ijwmse.2014.101872
Athar Kaveh; Mohammad Hossein Mahdian; Yahya Parvizi; Reza Sokouti Oskuee; Mohammad Hassan Masih Abadi. "Predicting crop management impact on soil carbon storage capacity in drylands using multivariate analysis techniques". , 5, 4, 2014, 233-242. doi: 10.22092/ijwmse.2014.101872
Kaveh, A., Mahdian, M., Parvizi, Y., Sokouti Oskuee, R., Masih Abadi, M. (2014). 'Predicting crop management impact on soil carbon storage capacity in drylands using multivariate analysis techniques', , 5(4), pp. 233-242. doi: 10.22092/ijwmse.2014.101872
Kaveh, A., Mahdian, M., Parvizi, Y., Sokouti Oskuee, R., Masih Abadi, M. Predicting crop management impact on soil carbon storage capacity in drylands using multivariate analysis techniques. , 2014; 5(4): 233-242. doi: 10.22092/ijwmse.2014.101872

Predicting crop management impact on soil carbon storage capacity in drylands using multivariate analysis techniques

مهندسی و مدیریت آبخیز
Article 1, Volume 5, Issue 4, March 2014, Pages 233-242    PDF (750.81 K)
Document Type: Research Paper
DOI: 10.22092/ijwmse.2014.101872
Authors
Athar Kaveh* 1; Mohammad Hossein Mahdian2; Yahya Parvizi3; Reza Sokouti Oskuee4; Mohammad Hassan Masih Abadi5
1PhD Student, Sciences and Researches Unit, Islamic Azad University, Iran,
2Professor, Agricultural Research, Education and Extension Organization, Iran,
3Assistant Professor, Agricultural and Natural Resources Research Center, Kermanshah, Iran,
4Associate Professor, Agriculture and Natural Resources Research Center, Western Azerbaijan, Iran
5Assistant Professor, Sciences and Researches Unit, Islamic Azad University, Iran
Abstract
Carbon storage is one of the assessment criteria of ecosystem sustainability, so land improvement and reclamation can be followed by investigating the effective managerial factors. This study was conducted to investigate the management scenarios and their effects on carbon storage in Sar Firoozabad watershed, Kermanshah province, Iran. Mapping units were prepared with combination of slope and aspect layers. The common management systems in the form of scenarios of residue management, crop rotation, and tillage were investigated and relevant indices were quantified. In the next step, the watershed area was separated into homogeneous zones and soil sampling in the units, was performed using a randomized systematic method. After transporting the samples to laboratory, soil organic carbon storage was calculated by determining their bulk density, texture, and organic carbon. Results of multivariate analysis showed that seven variables of tillage index, cereal sequence, straw burning, manure application, rotation systems, winter fallow and plow direction predict 52 percent of the soil carbon storage variability with 0.724 correlation coefficient and 0.46 modeling efficiency, using the cluster analysis,. In general, it can be concluded that cluster analysis is recommended for investigating carbon storage in soils and rotation and tillage systems are significant examples of soil management components that are certainly very important in terms of carbon storage.
Keywords
cluster analysis; Crop residue management; Crop Rotation; Organic carbon storage; Tillage
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