Soil Quality under Agroforestry Trees Pattern in Upper Citarum Watershed, Indonesia

• Autorzy: Mulyono Asep , Suriadikusumah Abraham , Harriyanto Rachmat , Djuwansah Muhammad Rahman

Identyfikatory

DOI

10.12911/22998993/93942

• Języki publikacji: EN

Abstrakty

EN

This paper discusses the setting up of a multivariate statistical method in selecting the useful soil quality indicators for soil quality assessment under agroforestry pattern. The of soil quality has been recognized as a tool to determine the sustainability of land resources, especially in agroforestry development. The study was carried out at Upper Citarum Watershed of Bandung district, West Java province, Indonesia. The soil samples were taken with purposive sampling under agroforestry pattern. Principal component analysis (PCA) was used as the multivariate statistical method to identify the minimum data set (MDS); scoring of each indicator, and data integration in the index of soil quality. The MDS consisted of four soil chemical indicators and represented 83.6% of the variability of data, i.e., pH, and exchangeable Calcium (exch Ca), organic Carbon (org C), and exchangeable Natrium (exch Na) respectively. The soil quality index (SQI) was categorized under agroforestry pattern as moderate. The artificial agroforestry-based coffee with an intercropping system (timber woods, multi purpose trees and horticultures) provides better soil quality.

Słowa kluczowe

EN

soil quality; agroforestry; multivariate assessment; PCA; upper citarum watershed

• Wydawca: Polskie Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology
• Czasopismo: Journal of Ecological Engineering
• Rocznik: 2019
• Tom: Vol. 20, nr 1
• Strony: 203--213
• Opis fizyczny: Bibliogr. 52 poz., rys., tab.

Twórcy

autor

Mulyono Asep

• Soil Science and Land Resources Department, Faculty of Agriculture, Padjadjaran University, Sumedang, 45363, West Java, Indonesia
• Research Center for Geotechnology, Indonesian Institute of Sciences, Bandung, 40135, West Java, Indonesia

autor

Suriadikusumah Abraham

• Soil Science and Land Resources Department, Faculty of Agriculture, Padjadjaran University, Sumedang, 45363, West Java, Indonesia

autor

Harriyanto Rachmat

• Soil Science and Land Resources Department, Faculty of Agriculture, Padjadjaran University, Sumedang, 45363, West Java, Indonesia

autor

Djuwansah Muhammad Rahman

• Research Center for Geotechnology, Indonesian Institute of Sciences, Bandung, 40135, West Java, Indonesia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).