scholarly journals ANALISIS BAHAN ORGANIK DENGAN KUALITAS TANAH TERHADAPUKURAN DAUN BAKAU (Rhizopora mucronata Lamk) DI HUTAN MANGROVE DESA MOJO, ULUJAMI, PEMALANG (Analisis of Organic Matter and Soil Quality on the Size of Mangrove Leaf at Mojo Village, Ulujami Pemalang)

2017 ◽  
Vol 12 (2) ◽  
pp. 134
Author(s):  
Untung Ismoyo ◽  
Boedi Hendrarto ◽  
Suryanti Suryanti
Keyword(s):  
Soil Quality ◽  
Organic Material ◽  
Mangrove Forest ◽  
Computer Software ◽  
Digital Camera ◽  
Chemical Properties ◽  
Mangrove Species ◽  
High Positive Correlation ◽  
Software Analysis ◽  
The Relationship

ABSTRAK Bakau (Rhizopora mucronata) merupakan salah satu jenis mangrove yang terdapat pada kawasan rehabilitasi hutan mangrove Desa Mojo, Kabupaten Pemalang.Jenis mangrove ini ditanam karena bibitnya mudah diperoleh dan disemai sehingga mendominasi pada kawasan tersebut.Untuk mengetahui faktor-faktor yang berkaitan dengan pertumbuhan mangrove, maka telah dilakukanpenelitian tentang hubungan antara kualitas tanahdengan luasan helai daun mangrove.Jumlah sampel yang digunakan adalah405helai daun yang dipilih dengan kondisi yang sama dan berasal dari 9 stasiun penelitian. Dalam stasion yangsama dilakukan pula pengambilan sampel tanah sampai kedalaman 50 cm, untuk dianalisis kandungan bahan organik dan sifat fisik-kimia.  Sampel daun yang diperoleh kemudian diproses dalam photo studio mini buatan untuk diambil gambarnya menggunakan kamera digital beresolusi tinggi dalam jarak 30 cm dan dihitung luasannya denganperangkat lunak komputer Corel Draw X7.Analisis data menggunakan PCA dan hasilnya menunjukkan, bahwa dari semua variabel yang diukur dari tanah, maka hanya faktorbahan organik saja yang memiliki korelasi positif tinggi dengan luasan daunR. mucronata. Kata kunci: Pohon Bakau, Luasan Daun, Hutan Mangrove Desa Mojo ABSTRACT Mangrove (Rhizopora mucronata) is one of the mangrove species found in the rehabilitation area of mangrove forest of Mojo Village, Pemalang Regency. This type of mangrove is grown because the seeds are easy to obtain and sowing so as to dominate in the area. To know the factors related to the growth of mangroves, so has been conducted research on the relationship between soil quality with the extent of mangrove leaves. The number of samples used is 405 leaf blades selected under the same conditions and derived from 9 research stations. In the same station, soil sampling is done up to 50 cm depth, to analyze organic material content and physical-chemical properties. The leaf samples were then processed in an artificial mini studio photo to be photographed using a high resolution digital camera within 30 cm and calculated the extent of Corel Draw X7 computer software. Analysis of data using PCA and the results show, that of all variables measured from the soil, then only the factor of organic material alone has a high positive correlation with the leaf area of R. mucronata. Keywords: Mangrove, Leaf Extents, Mojo Village’s Mangrove Forest 

scholarly journals Relationship between chemical properties of the soil and the occurrence of Bacillus thuringiensis

2009 ◽  
Vol 39 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Ricardo Antonio Polanczyk ◽  
José Cola Zanúncio ◽  
Sérgio Batista Alves
Keyword(s):  
Bacillus Thuringiensis ◽  
Integrated Pest Management ◽  
Pest Management ◽  
Soil Ph ◽  
Negative Correlation ◽  
Chemical Properties ◽  
High Positive Correlation ◽  
Positive Correlation ◽  
High Negative Correlation ◽  
The Relationship

The soil and other substrates such as mushroom compounds are the main sources of new Bacillus thuringiensis (Bt) isolates for Integrated Pest Management programs. This study describes the relationship between chemical properties of the soil (pH, OM, P3+, K1+, Ca2+, Mg2+, H1++Al3+, B3+, Cu2+, Fe2+, Mn2+ and Zn2+) and the occurrence of Bt in Brazil. A total of 1,197 bacterial colonies were obtained, being 512 of them identified as Bt. The Bt index (iBt), which is the relation between Bt colonies and bacterial counts ranged from 0.18 to 0.86. The iBt may be expressed with the formula: iBt= -0.4 + 0.6Ca2+ + 0.07Cu2+ + 0.009Fe2+ - 0.53Mg2+ -0.12Mn2+ + 1.26Zn2+. A cluster of samples with fewer colonies and a high negative correlation (antagonism) between Mn2+ and Ca2+; Mg2+ and Ca2+; Mg2+ and Zn2+; Mn2+ and Zn2+ and a high positive correlation (synergism) between Mn2+ and Mg2+; Zn2+ and Ca2+ was observed. The relationship between these elements and their effect on the Bt presence are discussed.

scholarly journals IDENTIFIKASI POTENSI HUTAN MANGROVE SEBAGAI PENGUAT KAWASAN EKOWISATA DI PESISIR BALE-BALE

Jurnal IPTA ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 25
Author(s):  
Wenang Anugoro ◽  
Muhammad Zainuddin ◽  
Andi Andi
Keyword(s):  
Mangrove Forest ◽  
Vegetation Index ◽  
Marine Biota ◽  
Mangrove Forests ◽  
Vegetation Density ◽  
Mangrove Species ◽  
Dominant Type ◽  
Technological Advances ◽  
Potential Condition ◽  
The Relationship

Technological advances in UAV (Unmanned Arial Vehicle) photogrammetry have been more efficient and accurate in the field of mapping and monitoring surveys. This study aims to determine the level of potential mangrove forests seen from the density of its vegetation, mangrove species and know how the relationship to marine biota contained in coastal areas bale-bale Batam. The recording data was taken on 26-08-2017. The method used to determine the density is the transformation of the NDVI vegetation index combined with the field transect. the field transect was conducted to see the species and biota of its association contained in each type of mangrove forest vegetation. The results of this study indicate that mangrove in coastal bale-bale has an area of 4.915 Ha, with the potential of mangrove forest area is still in potential condition seen from the extraction vegetation density from the transformation of vegetation index used and with the identification of mangrove species that is Avecennia and Rhizopora, relationship with the type of biota association Ocypodidae, Coenobitadae, and Gobiidae especially for Rhizopora mangrove species, it is because rhizopora is the most dominant type of mangrove in the research location.

Physico-Chemical Properties of Soil Collected from Chandrabhaga River in Kalmeshwar, Nagpur, Maharashtra

2020 ◽  
Vol 07 (02) ◽  
pp. 1-3
Author(s):  
Amita M Watkar ◽  
Keyword(s):  
Organic Matter ◽  
Soil Quality ◽  
Agricultural Land ◽  
Organic Matter Content ◽  
Chemical Properties ◽  
Matter Content ◽  
Soil Attributes ◽  
Essential Components ◽  
Agricultural Land Management ◽  
Physical And Chemical

Soil, itself means Soul of Infinite Life. Soil is the naturally occurring unconsolidated or loose covering on the earth’s surface. Physical properties depend upon the amount, size, shape, arrangement, and mineral composition of soil particles. It also depends on the organic matter content and pore spaces. Chemical properties depend on the Inorganic and organic matter present in the soil. Soils are the essential components of the environment and foundation resources for nearly all types of land use, besides being the most important component of sustainable agriculture. Therefore, assessment of soil quality and its direction of change with time is an ideal and primary indicator of sustainable agricultural land management. Soil quality indicators refer to measurable soil attributes that influence the capacity of a soil to function, within the limits imposed by the ecosystem, to preserve biological productivity and environmental quality and promote plant, animal and human health. The present study is to assess these soil attributes such as physical and chemical properties season-wise.

scholarly journals Simple empirical method for estimating lava-effusion rate using nighttime Himawari-8 1.6-µm infrared images

2021 ◽  
Vol 73 (1) ◽  
Author(s):  
Takayuki Kaneko ◽  
Atsushi Yasuda ◽  
Toshitsugu Fujii
Keyword(s):  
Lava Flow ◽  
Estimation Method ◽  
Simulation Software ◽  
Spectral Radiance ◽  
Effusion Rate ◽  
Actual Distribution ◽  
High Positive Correlation ◽  
Low Viscosity ◽  
Lava Effusion ◽  
The Relationship

AbstractThe effusion rate of lava is one of the most important eruption parameters, as it is closely related to the migration process of magma underground and on the surface, such as changes in lava flow direction or formation of new effusing vents. Establishment of a continuous and rapid estimation method has been an issue in volcano research as well as disaster prevention planning. For effusive eruptions of low-viscosity lava, we examined the relationship between the nighttime spectral radiance in the 1.6-µm band of the Himawari-8 satellite (R1.6Mx: the pixel value showing the maximum radiance in the heat source area) and the effusion rate using data from the 2017 Nishinoshima activity. Our analysis confirmed that there was a high positive correlation between these two parameters. Based on the linear-regression equation obtained here (Y = 0.47X, where Y is an effusion rate of 106 m3 day−1 and X is an R1.6Mx of 106 W m−2 sr−1 m−1), we can estimate the lava-effusion rate from the observation data of Himawari-8 via a simple calculation. Data from the 2015 Raung activity—an effusive eruption of low-viscosity lava—were arranged along the extension of this regression line, which suggests that the relationship is applicable up to a level of ~ 2 × 106 m3 day−1. We applied this method to the December 2019 Nishinoshima activity and obtained an effusion rate of 0.50 × 106 m3 day−1 for the initial stage. We also calculated the effusion rate for the same period based on a topographic method, and verified that the obtained value, 0.48 × 106 m3 day−1, agreed with the estimation using the Himawari-8 data. Further, for Nishinoshima, we simulated the extent of hazard areas from the initial lava flow and compared cases using the effusion rate obtained here and the value corresponding to the average effusion rate for the 2013–2015 eruptions. The former distribution was close to the actual distribution, while the latter was much smaller. By combining this effusion-rate estimation method with real-time observations by Himawari-8 and lava-flow simulation software, we can build a rapid and precise prediction system for volcano hazard areas.

scholarly journals Investigation of the relationship between landform classes and electrical conductivity (EC) of water and soil using a fuzzy model in a GIS environment

Solid Earth ◽  
2016 ◽  
Vol 7 (3) ◽  
pp. 873-880
Author(s):  
Marzieh Mokarram ◽  
Dinesh Sathyamoorthy
Keyword(s):  
Electrical Conductivity ◽  
Fuzzy Model ◽  
Chemical Properties ◽  
Geographical Information ◽  
Fars Province ◽  
Fuzzy Method ◽  
The North ◽  
The Relationship ◽  
Very High ◽  
Soil And Water

Abstract. Soil genesis is highly dependent on landforms as they control the erosional processes and the soil physical and chemical properties. The relationship between landform classification and electrical conductivity (EC) of soil and water in the northern part of Meharloo watershed, Fars province, Iran, was investigated using a combination of a geographical information system (GIS) and a fuzzy model. The results of the fuzzy method for water EC showed 36.6 % of the land to be moderately land suitable for agriculture; high, 31.69 %; and very high, 31.65 %. In comparison, the results of the fuzzy method for soil EC showed 24.31 % of the land to be as not suitable for agriculture (low class); moderate, 11.78 %; high, 25.74 %; and very high, 38.16 %. In total, the land suitable for agriculture with low EC is located in the north and northeast of the study area. The relationship between landform and EC shows that EC of water is high for the valley classes, while the EC of soil is high in the upland drainage class. In addition, the lowest EC levels for soil and water are in the plains class.

The relationship between aggregation and other soil properties in cracking clay soils

Soil Research ◽  
1984 ◽  
Vol 22 (1) ◽  
pp. 59 ◽  
Author(s):  
KJ Coughlan ◽  
RJ Loch
Keyword(s):  
Hydraulic Conductivity ◽  
Salt Content ◽  
Chemical Properties ◽  
Aggregate Size ◽  
Strong Relationship ◽  
Clay Soils ◽  
Coarse Surface ◽  
Seedbed Preparation ◽  
The Relationship ◽  
Dispersion Ratio

This paper explores the processes responsible for clay dispersion, and the formation of large dry aggregates, in cracking clay soils. It also isolates the soil factors causing variations in dry aggregate size using regression analysis. Twelve cracking clay soil samples were selected on visual differences in dry aggregate size distribution following seedbed preparation, and a range of soil structural and chemical properties were measured. The per cent dry aggregates > 5 mm was found to increase with resistance to mechanical abrasion, stability to wet sieving after capillary wetting, and dispersion ratio, indicating that large dry aggregates are formed as a result of binding by dispersed clay. Both raindrop impact and puddling by cultivation may be involved in dispersion. There was a strong relationship between dry aggregate size in the 0-10 cm layer and salt content in the subsurface (60-90 cm) layer. Coarse surface aggregation is explained in terms of limited profile hydraulic conductivity. For the soils studied, the properties of the surface layer appear to be responsible, at least in part, for the limitation in profile hydraulic conductivity. Dry aggregate size in the 0-10 cm layer was not simply correlated with any of the chemical properties of that layer. However, equations containing two (ESP and CEC per gram of clay) or three (ESP, per cent clay and CEC) independent variables were derived to explain variations in dry aggregate size, both for the 12 soils studied and for a wider range of Queensland cracking clay soils.

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