Investigation of the changes in the status of soil salinity using multivariable analysis

Revista Brasileira de Engenharia Agrícola e Ambiental

Alexandre, Deborah M. B.¹  Andrade, Eunice M.³  Palácio, Helba A. Q.²  Lima, Cleene A.²  Meireles, Ana. C. M.³ 

[1] COGERH, Fortaleza;IFCE, Iguatu;UFC, Fortaleza

关键词: salinity;    semiarid;    cluster analysis;    irrigation-impact    INTRODUÇÃONo início da Era Cristã ocorreu o declínio das áreas agrícolas irrigadas nos vales dos rios Tigre e Eufrates;    em decorrência da salinidade do solo;    tornando terras férteis em áreas improdutivas;   

DOI  :  10.1590/S1415-43662011000400013

学科分类：农业科学（综合）

来源: Universidade Federal de Campina Grande * Centro de Ciencias e Tecnologia

【 摘 要 】

This work was carried out to investigate the multivariable statistics/cluster analysis as a tool to identify the similarity of irrigated fields. The investigation was conducted in three areas. One was an undisturbed native area (MN) and the others, two irrigated field in the Irrigated District of Jaguaribe-Apodi (DIJA) situated in the municipality of Limoeiro do Norte and Quixeré, Ceará State, Brazil. Soil was sampled monthly, from December/1999 to December/2000, and also from September to December of 2001 in the depths of 0-30, 30-60 cm. The attributes considered in this study were: EC (electric conductivity of soil solution), Ca2+ + Mg2+, Cl-, Na+ and k+ and SAR (sodium adsorption ratio). The Cluster Analysis application identified the similarity of studied attributes and three homogeneous groups were identified. The studied attributes values from MN were statistically different (p < 0.001) from those of irrigated fields. According to the results, Cluster Analysis showed up as a suitable tool to define the similarity independent of sample position in time and space. This fact expresses that Cluster Analysis technique can be applied to identify the similarity in areas with high or little salinization risk.

【 授权许可】

CC BY-NC