Art
J-GLOBAL ID:202002263336402955   Reference number:20A0261975

Properties and classification of soils in Dedza district, central highlands of Malawi

マラウイの中央高地,Dedza地区における土壌特性と分類
Author (7):
Material:
Volume: 63  Issue:Page: 94-101  Publication year: Dec. 31, 2019 
JST Material Number: F0963A  ISSN: 0031-4064  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: ENGLISH (EN)
Thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.

Semi thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.

JST classification (2):
JST classification
Category name(code) classified by JST.
Tubers(=corms)  ,  Soil formation(=soil genesis,pedogenesis)and classification 
Reference (25):
  • Blakemore, L. C., Seatle, P. L. and Daly, B. K. 1987. Methods for Chemical Analysis of Soils. “New Zealand Soil Bureau Scientific Report 10A”, Department of Scientific and Industrial Research (DSIR), Wellington.
  • Brown, P. and Young, A. 1962. The physical environment of Central Malawi: With special reference to soils and agriculture. Government Print, Zomba.
  • FAO/WFP Crop and Food Supply Assessment Mission to Malawi, 2005. FAO Global Information and Early Warning System on Food and Agriculture World Food Programme. http://www.fao.org/3/J5509e/J5509e00.htm (Accessed on 2019/6/18).
  • FAO, 2017. FAOSTAT. http://www.fao.org/faostat/en/#home (Accessed on 2019/6/18).
  • Hengl, T., Heuvelink, G. B. M., Kempen, B., Leenaars, J. G. B., Walsh, M. G., Shepherd, K. D., Sila, A., MacMillan, R. A., de Jesus, J. M., Tamene, L. and Tondoh, J. E. 2015. Mapping soil properties of Africa at 250 m resolution: Random forests significantly improve current predictions. PLOS ONE, 10(6): e0125814.
more...
Terms in the title (5):
Terms in the title
Keywords automatically extracted from the title.

Return to Previous Page