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Application of Multinomial Regression for Analysis Influencing-factors of Infiltration Capacity in Agroforestry at Serayu Watershed
Ngadisih(a*), Hatma Suryatmojo(b), Prasetyo Nugroho (c), Meilyta Z. Sutyaningtyas (d), and Aulia Novindasari (d)

(a) Department of Agricultural and Biosystem Engineering, Faculty of Agricultural Technology, Universitas Gadjah Mada, Jl. Flora Bulaksumur, Yogyakarta, INDONESIA
*ngadisihugm[at]gmail.com, ngadisih[at]ugm.ac.id
(b) Laboratory of Watershed Management, Faculty of Forestry, Universitas Gadjah Mada, Jl. Agro No. 1 Bulaksumur, Yogyakarta, INDONESIA
(c) Vocational College, Universitas Gadjah Mada, Sekip Unit 1, Catur Tunggal, Yogyakarta, INDONESIA
(d) Undergraduate Student, Faculty of Forestry, Universitas Gadjah Mada, Jl. Agro No. 1 Bulaksumur, Yogyakarta, INDONESIA


Abstract

Serayu is the most risky catchment to landslide and soil erosion in Indonesia due to extreme geo-morphological and climatic conditions and dense population with intensive farming. Hence, integrated agriculture-forestry system (agroforestry) as a method for maintaining ecosystem is an important initial step for sustainable development in Serayu catchment. Landslide and soil erosion are strongly influenced by soil moisture content through the role of infiltration. A higher soil infiltration capacity reduces the volume of surface run-off and consequently soil erosion could be minimized while the susceptibility to landslide would increase. Till date, the literature less explore the influencing-factors of infiltration capacity. Mostly, the discussions are focusing on the role of agroforestry to soil properties, micro-climate, and land productivity. Analysis on factors-influencing infiltration capacity is required for mitigating the susceptibility of landslide and soil erosion. This study was aimed to analyze the influencing-factors of infiltration capacity in integrated agriculture-forestry system at Serayu watershed by using multinomial regression. Two micro-catchments at upper part of Serayu watershed were employed which represent agroforestry and intensive farming. Characteristic of climate, hydrology and vegetation were collected from each micro-catchment. The variables of multinomial regression were involved soil texture, structure, bulk density, particle density, soil moisture content, soil organic matter, root density, and infiltration rate.

Keywords: Multinomial regression; Infiltration capacity; Integrated agriculture-forestry system; Serayu Watershed

Topic: Land and water resources engineering

Link: https://ifory.id/abstract/xQbPrp2LDczJ

Conference: The 3rd International Symposium on Agricultural and Biosystem Engineering (ISABE 2019)

Plain Format | Corresponding Author (Putri Kultsum Van Tando)

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