Analysis of Soil Quality for Hydrological Disaster Mitigation in Sub-Watershed of Krueng Jreue, Aceh Besar Regency-Indonesia (original) (raw)

Mapping Soil Quality in Various Land Uses as a Basis for Soil Management in Wonogiri, Indonesia

2020

Soil quality is closely related to environment because soil is not only viewed as a growing media for plants but also encompasses various environmental and health functions. It is important to know the quality of soil in order to keep it healthy, productive, and optimally functioning. This research aims to evaluate soil quality status in various land uses and to learn the land factors that are related to soil quality. Soil quality index (SQI) represents the soil quality status. SQI will then be used as the basis for soil management. A descriptive explorative research study was carried out in the Giritontro Sub-district, Wonogiri District, Indonesia. SQI indicators were obtained from 12 existing Land Mapping Units (LMU). SQI was obtained by determining the Minimum Data Set (MDS) with a Principal Component Analysis (PCA) test. Then SQI was mapped and statistically analyzed to determine the influence of land use and the determinant factors of SQI. Results showed that SQI in all area is...

Soil Function Analysis in Determining the Soil Quality Index of Paddy Fields in Salassae Village, Bulukumba Regency, South Sulawesi Province, Indonesia

Agricultural Science Digest, Volume 43 Issue 1: 40-45 (February 2023), 2023

Background: The quality of the function of paddy fields in Indonesia is strongly influenced by the high intensity of the level of management. Degradation of soil quality with improper management practice result in the loss of land resources and functions in the long term. Methods: This study uses survey methods and the determination of soil quality index is calculated based on the criteria of Mausbach and Seybold (1998) modified. Result: This research shows that the overall soil quality at the research location is still quite good. Locations 1,2,3 and 4 indicated a soil quality index with reasonable criteria, while location five indicated a decrease in soil quality index by 0.1% with moderate criteria. The decline in soil quality shown at location five was due to the level of management behavior in giving compost using only local knowledge. The results of this study indicate the main limiting level of soil quality at the research site is the availability of nitrogen and C-organic in the soil.

Impact of Watershed Restoration Based Agroforestry on Soil Quality in the Sub-Watershed Keduang, Wonogiri, Indonesia

Journal of Sustainable Development, 2014

The upper Solo Wonogiri Watersheed size of the catchment is 135,000 hectares. It is divided into six sub watershed, i.e. the Keduang, Temon, Alang, Wuryantoro, Wiroko, and Upper Solo. The fact that occur in areas upper Solo watershed the zone of distric Wonogiri Central of Java, is currently large (> 90%) is the cultivation of seasonal crops with crops such as cassava, peanuts and not cultivation techniques cropping (Supriyadi, 2007). The implementation of restoration in subwatershed is one of several of cultivation system method that consider the importance of land sustainability. The objective of this research was to identify appropriate indicators for assessing the impact of longterm agroforestry systems on soil quality in areas upper Solo watershed the zone of distric Wonogiri Central of Java, Indonesia. The research was based on descriptive explorative through land surveys, while to know the value of the soil quality in Keduang subwatershed takes the point sample deliberately (purposive sampling). The Soil Quality Index (SQI) is determined by collecting data on indicators that have been selected for each soil function or Minimum Data Set (MDS). Assessment of soil quality using a scoring method data on every indicator. Soil quality index for the retoration in Keduang sub-watershed were 26,67-27,78 for native forest; 24,44-25,56 for agroforestry; and 23,33-26,67 for dry land. The average value of soil quality index in native forest is 27,04; in agroforestry is 24,81 and dry land is 24,07. In native forest value of soil quality is the highest than agroforestry and dry land. The result showed that according to soil quality index, the types of management of landuse could improve soil quality. The better the soil quality, the higher the SQI. Land utiliser foe native forest had better soil quality than agroforestry and dry land, while land utilised for dry land had significant different compossed to the agroforestry system.

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

Journal of Ecological Engineering

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.

The Effect of Flood to Quality Index of Soil Physical Properties at the Downstream of Kuranji River Watershed, Padang City

International Journal of GEOMATE

The downstream of the Kuranji watershed of Padang City is vulnerable to flood due to the changes of land use into settlements area. Land use changes have changed the soil physical properties and its infiltration. The inundation has changed soil physical properties, such as layers, textures, volume weight, pores, permeability, and soil organic matters. The objective of this research is to analyze the quality index of soil physical properties due to flood at the watershed of the downstream area of Kuranji River of Padang City. Research methodology adopted is by conducting a field survey. Location of the soil sample is selected by purposive random sampling and was analyzed at the Department of Soil Science Andalas University. Soil physical properties data was arranged as minimum data sets (MDS) to be analyzed with principal component analysis to identify the main factors most affected by the flood. The results show that the main soil physical properties influenced by the flood are texture and soil organic matter. Based on the calculation of selected values from the MDS data, the quality of the downstream Kuranji watershed is moderate to good.

Proposing a suitable soil quality index for natural, secondary and rehabilitated tropical forests in Malaysia

AFRICAN JOURNAL OF BIOTECHNOLOGY, 2012

There are numerous types and categories of soil indices developed for soil fertility and quality evaluation. However, there is still lacking in suitable indices for quantifying the fertility of degraded and rehabilitated forests in the tropics. The objective of this present study was to develop a suitable soil index from the existence soil indices which were suitable for natural, secondary and rehabilitated tropical forest soil known as Tropical Soil Quality Index (TSQI). This study was carried out at Chikus lowland dipterocarp (natural forest and planted S. leprosula plots) and Tapah Hill (enrichment planting and secondary forest plots) Forest Reserves, Perak. Soil samples were collected at 0 to 15 cm and 15 to 30 cm depth with six subplots (20 × 20 m) for each plot. Selected soil parameters include bulk density, coarse fragment, soil acidity, total carbon, total nitrogen, exchangeable magnesium, exchangeable potassium, exchangeable calcium, available phosphorus, sodium saturation, aluminium saturation, and microbial biomass. The proposed Tropical Soil Quality Index (TSQI) incorporates all important properties of soils mainly physical, chemical and biological which are able to give adequate information on the soil fertility status. Results presented in this proposed index were based on the score accumulated from parameters that have been analyzed. This index is suitable to be used for the evaluation of current fertility status of tropical soils by which the techniques used for soil analyses were based on the acidic nature of most soils in the tropics, including Malaysia. From the proposed TSQI, enrichment planting has the same level of 59.09% TSQI with natural forest which prove that rehabilitation of degraded forest land with mix tree after 42 years of planting is similar with undisturbed natural forest. In conclusion, the proposed TSQI incorporates selected soil physical, chemical and biological properties which are crucial for soil fertility evaluation of degraded forest land and this index will helps soil fertility evaluator to study and describe the current fertility status of degraded forest land soil especially for tropical regions.

Assessing Soil Quality in a Semiarid Tropical Watershed Using a Geographic Information System

Soil Science Society of America Journal, 2011

Subsistence agriculture under rainfed conditions and declining or stagnant yields on irrigated farmland has raised concerns about resource management and long-term sustainability in the subtropical, semiarid region of India. Soil quality assessment has been recognized as an important step toward understanding the effects of land management practices within an agricultural watershed. This study addressed the spatial variability ofsoil properties and their quality at the watershed level using geostatistical methods. Soil samples from the 0-to 20-cm depth were collected from i 18 locations on a 100-by 100-m grid across an 88-ha watershed at Sakaliseripalli village in the Nalgonda District in Andhra Pradesh State, India. Geostatistical analysis showed that most ofthe soil parameters were moderately spatially dependent. An assessment framework, including a minimum data set, linear scoring technique, and additive indices, was used to evaluate the soil quality index (SQI). Principal component analysis identified cation exchange capacity, exchangeable Na percentage, DTPA-extractable Zn, available P, available water, and dehydrogenase activity as the most important indicators for evaluating soil quality. A kriged map of SQI was prepared for the watershed. The SQI was higher in irrigated systems (3.01) than under rainfed conditions (2.53), and it was 2.61 and 2.53 in fallow and permanent fallow fields, respectively. In this study, potential soil loss calculated using the Universal Soil Loss Equation and crop yield were identified as the quantifiable management goals; the results indicated that good soils having higher soil quality indices were also productive and less erosion prone.

The Assessment of Soil Quality at Paddy Fields in Merauke, Indonesia

2017

Supriyadi, S., P. Purwanto, A. Sarijan, Y. Mekiuw, R. Ustiatik and R. R. Prahesti, 2017. The assessment of soil quality at paddy fi elds in Merauke, Indonesia. Bulg. J. Agric. Sci., 23 (3): 443–448 Indonesia’s agricultural land has potentials to be expanded. To achieve a food security in Papua, Indonesia’s government has been promoting a program namely Merauke Integrated Food and Energy Estate (MIFEE). The objective of this study is to determine soil quality on several paddy fi elds in Merauke District, Papua. Soil samples were gathered from 9 old paddy fi elds and 1 new paddy fi eld (as the control). This study used the Principal Component Analysis (PCA) to determine the most appropriate indicator to form minimum data set (MDS). MDS was taken to calculate the Soil Quality Index (SQI). Some soil properties were used as indicators which were consist of soil pH, organic carbon (OC), bulk density (BD), particulate organic matter (POM), Available-N (Av-N) and it represented 89.3% of the...

Soil Quality Assessment Model for Critical Land Management Planning

2021

The research purposes were to analyze land use's effect on soil physical properties and measure several lands' soil quality index in the Bulili plateau. Its conducted on three types of land use consisted of a mixed plantation, maize plantation, and forest. Soil sampling at each type of land use was carried out at five different points so that in total, there were 15 locations for soil sampling. Soil samples were taken at a depth of 0-30 cm after removing the organic layer on the soil surface. Observation of soil physical properties, including clay content, bulk density, total porosity, saturated hydraulic conductivity, organic carbon, aggregate stability, and available soil water capacity, were used to design soil quality index models. Root depth was also observed. The results showed a significant effect of land-use change on all observed soil physical properties parameters. The soil quality index for mixed plantation, maize plantation, and forest belonged to the criteria of...

Application of soil and water assessment tool in Indonesia - a review and challenges

DESALINATION AND WATER TREATMENT

Watersheds are increasingly experiencing environmental damage in various parts of the world recently, including in Indonesia. Indonesia, which has approximately 17 thousand watersheds, faces major challenges in watershed management, especially with the increasing pressure on watershed resources. The accuracy of watershed management is very necessary for the era of rapid development and growth. The abilities of Soil and Water Assessment Tool (SWAT) will assist in making the right decisions in watershed management. Although the model has several advantages such as free access and user-friendly, the model still has limitations when applied to watersheds that do not have sufficient observation data. The purpose of this study is to review the uses of this model in Indonesia. The SWAT has been applied in various watersheds reported in 178 publications that have passed peer-review. Most of the applications were found in Java Island, with 112 publications. The availability of climatological and hydrological data was main obstacle for model application. However, remotely sensed data this limitation and challenge can be handled with remote sensing techniques which will make this model very compatible to be applied in Indonesia. The SWAT will expectantly direct its application to regions still less or never been established, such as the Kalimantan and Papua regions.