scholarly journals Evaluasi Kesesuaian Lahan Untuk Tipe Penggunaan Lahan Tanaman Pangan Lahan Kering Di Daerah Aliran Sungai Wae Batu Merah Kota Ambon Provinsi Maluku

2018 ◽  
Vol 14 (2) ◽  
pp. 81-88
Author(s):  
Daniel Torimtubun ◽  
Ellisa J Gaspersz ◽  
Rafael M Osok ◽  
Silwanus M Talakua
Keyword(s):  
Land Use ◽  
Soil Depth ◽  
Land Suitability ◽  
Limiting Factors ◽  
Synthetic Approach ◽  
Food Crops ◽  
Soil Erodibility ◽  
Slope Steepness ◽  
Covered Area ◽  
Land Use Types

The study was conducted on Wae Batu Merah watershed in Ambon, from July to October 2016, with the covered area of 685,14 ha. The objectives of the study were 1) to determine the limiting factors of land suitability classes of the upland food crops land-use types, and 2) to establish the land suitability classes of the upland food crops land-use types. The study method was surveyed with a synthetic approach and filed data collection was conducted using distanced-flexible observation. The study shows that there are two land sutability classes on the Wae Batu Merah, namely marginal (S3) land sutability class covered area of 116,93 ha or 17,06% and not-suitable (N) land suitability class covered area of 568,21 ha or 82,94%, while there are seven limiting factors, namely effective soil depth, soil texture, soil drainage, slope steepness, soil pH, soil erodibility. The application of terracing, mulching and contour planting are recommended to reduce the effect of slope steepness and soil erodibility. Keywords: Ambon city, land suitability class, wae batu merah watershed   ABSTRAK Penelitian ini dilaksanakan di DAS Wae Batu Merah Kota Ambon Provinsi Maluku pada bulan Juli sampai Oktober 2016 dengan luas lokasi penelitian 685,14 ha. Penelitian ini dilaksankan dengan tujuan : 1) Menetapkan faktor-faktor pembatas tingkat kesesuaian lahan untuk tipe penggunaan lahan tanaman pangan lahan kering di DAS Wae Batu Merah Kota Ambon, 2) Menetapkan kesesuaian lahan untuk tipe penggunaan lahan tanaman pangan lahan kering di DAS Wae Batu Merah Kota Ambon, Metode penelitian yang digunakan adalah metode survey dengan pola pendekatan sintetik dan jarak observasi fleksibel mengikuti perubahan bentuk fisiografi dan penggunaan lahan. Berdasarkan hasil pengamatan lapangan dengan evaluasi lahan, hasil yang di temukan adalah: 1) terdapat 2 kelas kesesuaian lahan pada Das Wae Batu Merah yaitu, kelas kesesuaian lahan S3 terdapat pada area seluas 116.93 Ha atau 17.06%, dan kelas kesesuaian N terdapat pada area seluas 568.21 Ha atau 82.94%, 2) Berdasarkan hasil evaluasi lahan maka terdapat 7 faktor pembatas yaitu kedalaman efektif, tekstur tanah, drainase, kemiringan lereng, pH tanah, erodibilitas, zona agroklimat. Kelas kesesuaian lahan potensial setelah dilakukan perbaikan dari S3 menjadi S2 dengan faktor pembatas pH tanah, lereng, dan erodibilitas. untuk faktor pembatas drainase dapat diatasi dengan pembuatan saluran drainase, untuk lereng dan erodibilitas dapat diatasi dengan pembuatan teras, dan penanaman sejajar kontor dan penanaman tanaman penutup tanah. Kata kunci: daerah aliran sungai wae batu merah, evaluasi lahan, kota Ambon

Anti-soil erodibility of different land use types in Northwest Guangxi Karst Regions

2012 ◽  
Vol 20 (1) ◽  
pp. 105-110 ◽  
Author(s):  
Jia CHEN ◽  
Hong-Song CHEN ◽  
Teng FENG ◽  
Ke-Lin WANG ◽  
Wei ZHANG
Keyword(s):  
Land Use ◽  
Soil Erodibility ◽  
Land Use Types

scholarly journals DEGRADASI LAHAN PADA KEBUN CAMPURAN DAN TEGALAN DI KABUPATEN DHARMASRAYA

Jurnal Solum ◽  
2007 ◽  
Vol 4 (1) ◽  
pp. 5
Author(s):  
Syafrimen Yasin ◽  
Gusnidar Gusnidar ◽  
Dedy Iskandar
Keyword(s):  
Land Use ◽  
Soil Depth ◽  
Soil Surface ◽  
Soil Samples ◽  
Imperata Cylindrica ◽  
Undisturbed Soil ◽  
Fertility Status ◽  
Land Use Types ◽  
Bulk Volume ◽  
Soil Fertility Status

A research conducted in Sungai Rumbai, Dharmasraya Regency and in Soil Laboratory Andalas university was aimed to evaluate soil fertility status on the depth below 0-20 cm from several land use types , especially under Mixed Garden and annual cultivated dryland soil.  Soil samples were taken on Ultisol at 0-8% slope (late-waving soil surface).  Land use types evaluated were forest, annual cultivated dryland, bush land, rangeland covered by Imperata cylindrica and mixed garden.  Composite soil samples for soil chemical analysis were taken on the 0-20 cm soil depth with four replications, and 5 drillings for each replication.  Undisturbed soil samples by using sample ring were used to analyze sol bulk volume.  The data resulted were compared to the criteria and were statistically tested using Analysis of Variance and then were continued by LSD at 5% level.  From the results of analyses could be concluded that land use  for mixed garden had the higher Organic Carbon (OC) content and the lower bulk volume (BV) than those for annual cultivated dryland soil.Key Words: Degradasi Lahan, Kebun Campuran, Tegalan

Spatial variability of soil organic carbon in a typical watershed in the source area of the middle Dan River, China

Soil Research ◽  
2013 ◽  
Vol 51 (1) ◽  
pp. 41 ◽  
Author(s):  
Guo-Ce Xu ◽  
Zhan-Bin Li ◽  
Peng Li ◽  
Ke-Xin Lu ◽  
Yun Wang
Keyword(s):  
Land Use ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Spatial Variability ◽  
Spatial Heterogeneity ◽  
Spatial Variation ◽  
Soil Depth ◽  
Source Area ◽  
Soil Layers ◽  
Land Use Types

Soil organic carbon (SOC) plays an important role in maintaining and improving soil fertility and quality, in addition to mitigating climate change. Understanding SOC spatial variability is fundamental for describing soil resources and predicting SOC. In this study, SOC content and SOC mass were estimated based on a soil survey of a small watershed in the Dan River, China. The spatial heterogeneity of SOC distribution and the impacts of land-use types, elevation, slope, and aspect on SOC were also assessed. Field sampling was carried out based on a 100 m by 100 m grid system overlaid on the topographic map of the study area, and samples were collected in three soil layers to a depth of 40 cm. In total, 222 sites were sampled and 629 soil samples were collected. The results showed that classical kriging could successfully interpolate SOC content in the watershed. Contents of SOC showed strong spatial heterogeneity based on the values of the coefficient of variation and the nugget ratio, and this was attributed largely to the type of land use. The range of the semi-variograms increased with increasing soil depth. The SOC content in the soil profile decreased as soil depth increased, and there were significant (P < 0.01) differences among the three soil layers. Land use had a great impact on the SOC content. ANOVA indicated that the spatial variation of SOC contents under different land use types was significant (P < 0.05). The SOC mass of different land-use types followed the order grassland > forestland > cropland. Mean SOC masses of grassland, forestland, and cropland at a depth of 0–40 cm were 5.87, 5.61, and 5.07 kg m–2, respectively. The spatial variation of SOC masses under different land-use types was significant (P < 0.05). ANOVA also showed significant (P < 0.05) impact of aspect on SOC mass in soil at 0–40 cm. Soil bulk density played an important role in the assessment of SOC mass. In conclusion, carbon in soils in the source area of the middle Dan River would increase with conversion from agricultural land to forest or grassland.

scholarly journals Land Suitability Classification for Current Land Use in Akkar Plain- Tartous Governorate

2018 ◽  
Vol 27 (2) ◽  
pp. 89-105
Author(s):  
Safwan A. Mohammed Safwan A. Mohammed
Keyword(s):  
Land Use ◽  
Cation Exchange ◽  
Soil Texture ◽  
Cation Exchange Capacity ◽  
Soil Analysis ◽  
Exchange Capacity ◽  
Land Suitability ◽  
Land Evaluation ◽  
Limiting Factors ◽  
Physical Factors

Land evaluation is one of the most important tools for integrated land use management for sustainable agricultural and land use planning. The aim of this study is to evaluate the land suitability for current land use in akkar plain- Tartous Governorate. Depending on the elevation and land use, nine soil profiles representing the main physiographic units have been chosen. Soil samples were collected for conducting some chemical and physical analyses such as: soil texture (sand%, silt% and clay%), the content of organic matter OM, Cation Exchange Capacity CEC (cmol(+)/kg -1clay). The results of the soil analysis showed that the soil texture was Clay, and the pH values were between 7.13-8.5. Furthermore, The cation exchange capacity were ranging from (12-33) (cmol(+)/kg -1clay). Results of land evaluation showed that the limiting factors either fertility factors such as high pH in the villages of Beit-kamouna, Majdaloun-albaher and Dier-hbash, or physical factors such as shallowness depth of soil. The study concluded that the suitability class ranged from S2 to N2, which emphasis the importance of reconsidering the type of land use in the study area.

scholarly journals A GIS-Based Multicriteria Analysis of Land Suitability for Groundnut Crop in Nghe An Province, Vietnam

2021 ◽  
pp. 85-95
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Soil Texture ◽  
Soil Type ◽  
Agricultural Land ◽  
Soil Depth ◽  
Land Suitability ◽  
Agricultural Land Use ◽  
Total Rainfall ◽  
Average Temperature

This study focuses on identifying the potential lands for growing groundnut in Dien Chau district of Nghe An province (Vietnam), where groundnut is one of the major crops and brings high income for farmers. Based on the ecological requirements of groundnut, six criteria, including Soil Type, Soil Texture, Soil Depth, Slope, Average Temperature, and Average Total Rainfall in the planting season, were used. The Analytic Hierarchy Process method, commonly used in agricultural land use planning, was utilized to determine each criterion's weights via experts’ opinions. A pairwise comparison matrix was established to support this assessment process. The results revealed that Soil Texture showed the highest weight (0.31727) for groundnut farming, which was followed by Average Temperature (0.21131), Soil Type (0.17426), and Soil Depth (0.13982). Slope and Average Total Rainfall were the lowest weight factors, with 0.08122 and 0.07612, respectively. The weighted sum overlay analysis was implemented by ArcGIS software to generate the spatial distribution of land suitability of groundnut. The land suitability map indicated that 6830.07 ha (22.26%) of the studied area was highly suitable (S1), 10413.85 ha (33.95%) was moderately suitable (S2), 4336.76 ha (14.14%) was marginally suitable (S3), and 424.99 ha (1.39%) was not suitable (N). The total area of constrained area, including Waterbody and Built-up Land, was 8671.39 ha, accounting for 28.27% of the total area. Finally, the proposed land for groundnut cultivation was 12928.69 ha. The outcomes of this study may be regarded as a good reference for local government in agricultural land use planning.

scholarly journals IMPLEMENTASI FUZZY TSUKAMOTO DALAM PENENTUAN KESESUAIAN LAHAN UNTUK TANAMAN KARET DAN KELAPA SAWIT

2017 ◽  
Vol 4 (2) ◽  
pp. 233
Author(s):  
Maya Yusida ◽  
Dwi Kartini ◽  
Radityo Adi Nugroho ◽  
Muliadi Muliadi
Keyword(s):  
Expert System ◽  
Palm Oil ◽  
Soil Depth ◽  
Land Suitability ◽  
Organic N ◽  
Food Crops ◽  
Research Institute

<p><em>Land suitability is the suitability of a plot of land for a particular use. In the determination of appropriate plant recommendations on land, the Banjarbaru Swampland Food Crops Research Institute sets out 8 criteria in its assessment. These criteria include Soil Depth (cm), CEC Soil (cmol), Saturation Bases (%), pH (H2O), C-Organic (%), N Total (%), P2O5 (mg / 100g), K2O (mg / 100g). Making this expert system using Fuzzy Tsukamoto method. The results obtained from this expert system in the form of data on land suitability for rubber and palm oil plantations that are prioritized to be planted in a field based on the growing requirements of a plant. </em><br /> <br /><em><strong>Keywords</strong>: Expert System, Land Suitability, Fuzzy Tsukamoto</em></p><p><em>Kesesuaian lahan adalah kecocokan sebidang lahan untuk penggunaan tertentu. Dalam penentuan rekomendasi tanaman yang sesuai terhadap lahan, Balai Penelitian Tanaman Pangan Lahan Rawa Banjarbaru menetapkan 8 kriteria dalam penilaiannya. Kriteria tersebut meliputi Kedalaman Tanah (cm), KTK Tanah (cmol), Kejenuhan Basa (%), pH (H2O), C-Organik (%), N Total (%), P2O5 (mg/100g), K2O (mg/100g). Pembuatan sistem pakar ini menggunakan metode Fuzzy Tsukamoto. Hasil yang didapat dari sistem pakar ini berupa data tingkat kesesuaian lahan untuk tanaman karet dan kelapa sawit yang lebih diprioritaskan untuk ditanam disuatu lahan berdasarkan syarat tumbuh suatu tanaman. </em><br /> <br /><em><strong>Kata Kunci</strong> : Sistem Pakar, Kesesuaian Lahan, Fuzzy Tsukamoto</em></p>

scholarly journals Kajian Metode Evaluasi Kesesuaian Lahan untuk Kakao di Kabupaten Bantaeng

2019 ◽  
Vol 3 (2) ◽  
pp. 85
Author(s):  
Anwar Anwar ◽  
Muliati Galib ◽  
Wahyuni M
Keyword(s):  
Soil Fertility ◽  
Physical Properties ◽  
Soil Depth ◽  
Chemical Properties ◽  
Land Suitability ◽  
Land Evaluation ◽  
Limiting Factors ◽  
Limiting Factor ◽  
Suitability Analysis ◽  
Effective Depth

Land evaluation is an assessment of the potential of land resources. The results of land evaluation will provide information on the best use of it which will lead to expected value of production. This study aimed to determine the level of suitability of the cocoa plantations in Bantaeng Regency using the FAO and Sys methods; make a map of the actual and potential land suitability. The results of the analysis showed that the actual cocoa land suitability of the FAO method was presented in distribution points according to marginal (S3rn) with limiting factor of rooting media and nutrients availability. While the actual land suitability analysis of the cocoa Sys method was not suitable (N1cSf) with climate limiting factors, the soil physical properties and soil fertility. Based on the limiting factors the physical properties of the two methods, there were similarities in effective depth (FAO) and soil depth (Sys), S3 parameters according to FAO and N1 according to Sys. The limiting factor for the soil chemical properties of the two methods was also the same, the availability of S3 (FAO) nutrients, while the (Sys) method was the soil fertility N1.

scholarly journals Variation in Soil Organic Carbon under Different Forest Types in Shivapuri Nagarjun National Park, Nepal

Scientifica ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Jun Shapkota ◽  
Gandhiv Kafle
Keyword(s):  
Land Use ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
National Park ◽  
Soil Depth ◽  
Forest Types ◽  
Land Use Types ◽  
Soc Stock ◽  
Chir Pine ◽  
Level Of Significance

Understanding distribution of soil organic carbon (SOC) in soil profile is important for assessing soil fertility and SOC stock because it varies with soils of different vegetation and land use types. In this context, the objective of this research is that it was conducted to determine key variance in the SOC stock in three different soil layers, 0–20 cm, 20–40 cm, and 40–60 cm of different vegetation covers of Shivapuri Nagarjun National Park of Kathmandu district, Nepal. Overall field measurement was based on standard national methods. We used the dichromate digestion method to analyse SOC concentrations. The highest SOC concentration (%) was recorded as 4.87% in 0–20 cm of oak forest and lowest 0.42% in 40–60 cm of Chir pine forest. Forest types (oak, upper mixed hardwood, lower mixed hardwood, and Chir pine) had SOC stock 149.62, 104.47, 62.5, and 50.85 t/ha, respectively, up to 60 cm depth. However, these values are significantly different ( p = 0.02 ) at 5% level of significance when comparing means between the forest types. The SOC stock was decreased with increased soil depth, though not significantly different at 5% level of significance. Further study with respect to different climate, soil, forest, and land use type is recommended.

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