scholarly journals PENETAPAN KELAS KEMAMPUAN LAHAN DAS WAE BATU MERAH KOTA AMBON PROVINSI MALUKU

2017 ◽  
Vol 13 (1) ◽  
pp. 17
Author(s):  
Dhanang Supriadi ◽  
Rafael M Osok ◽  
Silwanus M Talakua

A research had been held from July till October 2016 in Wae Batu Merah Watershed, at Ambon City Maluku, Maluku Province with area covered 685,14 ha including in the area of Batu Merah Village and a part of Soya Village. The aim of the research were to: 1) determine land capability class; 2) determine land capability class with different topographyc classes, soil types and land use types; and 3) determine land use direction corresponding to each land capability class. The research method was a survey method with a pattern of synthetic and analytical approach using a flexible range of observation following the change in shape of physiography and land use. The results showed that: 1) The Wae Batu Merah Watershed has 6 land capability classes, i.e class II, III, IV, VI, VII, VIII, 2) Based on the different topography classses, soil types, and land use types it was found that land capability class with limiting factors were influenced of the three, 3) The direction of land use in the Wae Batu Merah Watershed were: intensive, middle and limited agricultural with agroforestry system, middle and limited pastural with agroforestry system, protected forest area, forest, resettlement cropping, biopore, and organic matter.


2018 ◽  
Vol 10 (10) ◽  
pp. 3477 ◽  
Author(s):  
Fuqiang Dai ◽  
Zhiqiang Lv ◽  
Gangcai Liu

Ecologically fragile cropland soils and intensive agricultural production are characteristic of the valley area of the Tibetan Plateau. A systematic assessment of soil quality is necessary and important for improving sustainable cropland management in this area. This study aims to establish a minimum data set (MDS) for soil quality assessment and generate an integrated soil quality index for sustainable cropland management in the Tibetan Plateau. Soil samples were collected from the 0–20 cm depths of agricultural land in the middle and lower reaches of the Lhasa River. These samples were analyzed by routine laboratory methods. Significant differences were identified via statistical test between different soil types and land use types for each soil property. Principal component analysis was used to define a MDS of indicators that determine soil quality. Consequently, effective porosity, pH, total organic C, total N, available P, and catalase were identified as the final MDS. The soil quality index was obtained by the fuzzy-set membership function and the linear weighted additive method. The soil quality index differed significantly between the soil types and land use types. The soil quality can be ranked based on their indices in the following order: 1. Grain land with meadow soils, 2. Grain land with steppe soils, 3. Greenhouse vegetable land with fluvo-aquic soils, 4. Grain land with fluvo-aquic soils. The soils with higher soil quality indices exhibited better soil structure, higher nutrient contents, and superior resistance to water and nutrient loss. While the intensive tillage practices associated with vegetable production could reduce the values for effective porosity, pH and catalase, the application of appropriate fertilizers increased the values for total organic C, total N and available P. Therefore, the MDS method is an effective and useful tool to identify the key soil properties for assessing soil quality, and provides guidance on adaptive cropland management to a variety of soil types and land use types.



Author(s):  
Ni Made Ayu Ratna Sari ◽  
I Wayan Sandi Adnyana ◽  
I Nyoman Merit

Erosion in the watershed generally occurs due to land use that ignores the rules of soil and water conservation. There is much activity carried out by people living on land in the Yeh Leh watershed area, which makes the level of dependence is very enormous.The erosion forecast is using the USLE (Universal Soil Loss Equation) to estimate the erosion swift occurs and to obtain illustration in determining the precise soil and water measures in a region. The determination of land capability classification is using Arsyad’s method (1989) in which to classify the land ability by classifying the land ability class based on the value of land limiting factors, which then adjusted to the criteria of classification of land capability. The land use directional determination is applying the scoring method where combining field slope factor, soil sensitivity to erosion and daily rainfall intensity. The erosion level of the YehLeh watershed area is categorized as mild to very severe. A very light erosion level as large as 515 ha (21.01%), with the land use in the form of irrigated rice field and forest. The severe erosion level as large as 990.02 ha (40.40%) with land use in the form of plantations. The very heavy erosion level as large as 945.82 ha (38.59%) with land use in the form of plantations. The classification of land capability in the YehLeh watershed area consists of 5 classes of land abilities: class II of 115, 22 ha (4.70%), class III of 533.95 ha (21.79%), class IV of 423.61 (17.28%), Class VI of 1,102.03 ha (44.97%), and Class VII of 276.03 ha (11.26%), with some limiting factors for instance, soil texture, erosion and drainage. Proposed land use in the YehLeh watershed area use for forest areas is as protected forest of 456.49 ha (18.63%). Proposed land use outside of the forest area consist of 58.51 ha (2.39%) of seasonal crops, annual cultivation area of 990.02 ha (40.40%) and buffer area of 945.82 (38.59%). Keywords: watershed, erosion, land capability classification, proposed land use.



2020 ◽  
Author(s):  
Liqun Tang ◽  
Zhijie Shan ◽  
Yang Yu

<p>Re-vegetation has been widely carried out to prevent land degradation, reduce soil erosion, and improve soil quality. In order to investigate the characteristics of soil nutrients content in different land use types of karst gabin basin, soil organic matter, soil total nitrogen, soil total phosphorus, soil total potassium, soil pH, and soil texture in woodland, agricultural land, orchard, and grassland were surveyed in Mengzi Gabin Basin, Southwest of China. The difference of soil indicators between vegetation types was analyzed, and soil fertility quality of four land use types was comprehensively evaluated by the soil quality index (SQI). The results showed that land use significantly affected soil organic matter content. Soil organic matter content was the highest in grassland, followed by agricultural land and forest land, while orchard was lowest. There was a significant difference in soil total nitrogen content between different land uses. The total nitrogen content in farmland soil was the highest, followed by grassland and woodland, and the lowest in the orchard. Woodand had the highest total potassium content and the lowest total phosphorus content. The grassland soil had the highest total phosphorus content and the lowest total potassium content. pH value in the four land use types was acidic, ranged from 5.82 to 6.67. The soil quality index showed that woodland had the highest soil fertility quality. The results of the study could provide the basis of soil nutrients variation and status in Gabin basin, and also provides support for evaluating the soil improvements during vegetation restoration in fragile Karst ecosystems.</p>



2020 ◽  
Author(s):  
Klaus Jarosch ◽  
Luis Carlos Colocho Hurtarte ◽  
Konstantin Gavazov ◽  
Aleksander Westphal Muniz ◽  
Christoph Müller ◽  
...  

<p>The conversion of tropical forest for cassava cultivation is widely known to decrease the soil organic matter (OM) and nutrient contents of highly weathered soils in the tropics. Amazonian Dark Earth (ADE) might be affected less due to their historical anthropogenic amelioration with e.g. charcoal, ceramics and bones, leading to higher soil OM and nutrient concentrations. In this study, we analysed the effect of land use change on the OM dynamics and its composition under tropical conditions, using ADE and an adjacent Acrisol (ACR) as model systems. Soil samples were obtained south of Manaus (Brazil), from a secondary forest and an adjacently located 40-year-old cassava plantation. The land use change induced a severe decrease of organic carbon (OC) concentrations in ADE (from 35 to 15 g OC kg<sup>‑1</sup>) while OC in the adjacent ACR was less affected (18 to 16 g OC kg<sup>‑1</sup>). Soils were analysed by <sup>13</sup>C NMR spectroscopy to obtain information on how the conversion of secondary forest to cassava affected the chemical composition of OM. Our results show that land use change induces differences in the OM composition: The OM in ADE changes to a more decomposed state (increase of alkyl:O/N-alkyl ratio) whereas the OM in ACR changes to a less decomposed state (decrease of alkyl:O/N-alkyl ratio). According to a molecular mixing model, land use change influenced mostly the proportion of lipids, which might be related with a change of the plant input. The incubation of the soils with <sup>13</sup>C glucose enabled resolving how soil microorganisms were affected by land use change. In both soil types ADE and ACR, land use change caused a reduction of the total <sup>13</sup>C glucose respiration by approximately one third in a 7-days incubation, implying lower microbial activity. Microorganisms in both soil types appear to be more readily active in soils under forest, since we observed a distinct lag time between <sup>13</sup>C glucose addition and respiration under cassava planation. This indicated differences in microbial community structure, which we will assess further by determining the <sup>13</sup>C label uptake by the microbial biomass and the microbial community structure using <sup>13</sup>C PLFA analysis. Preliminary results from synchrotron-based STXM demonstrate a distinct arrangement of OM at fine-sized charcoal-particle interfaces. Samples of soils receiving <sup>13</sup>C label will be further analysed by NanoSIMS with the hypothesis that charcoal interfaces foster nutrient dynamics at the microscale. Despite the high loss of OC in the ameliorated ADE through land use change, the remaining OM might improve the nutrient availability thanks to charcoal interactions compared to the ACR. Our results contribute to a better understanding of the sensitivity of OM upon land use change and how the microbial community is responding to land use change in highly weathered tropical soils.</p>



Agrologia ◽  
2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Jeheskel Manuputty ◽  
Elia Y Gaspersz ◽  
Selwanus M Talakua

Tina Wai watershed area 48,132 ha, located in the South Buru and serves as a provider of water for the local community. Land Capability Evaluation and Tina Wai Watershed Land Use in South Buru, Maluku Province, has been performed in order to determine the land capability classification level, and determine the direction and pattern of land use in accordance with their respective land capability class. The research method is a survey method with a pattern of synthetic and analytical approach with a flexible range of observation following the change in shape of physiographic and land use. The results found that Tina has 6 Wai watershed land capability class, ie class III, IV, V, VI, VII, and VIII with factor inhibiting dominated by undulating slopes to very steep, erosion rates to very heavy weight, medium texture soil, permeability rather fast to slow, moderate sensitivity to erosion, rock gravel of moderate-to-many, and the threat of flooding rather frequently. Land capability class has the most extensive is the fourth grade with an area of 24.636 ha, or 51.19%. Referrals for agricultural land use is 29,184.75 ha or 61.89; for plantations, livestock and forest production by 8396.75 ha or 17.38%; for the protected forest of 6,941.25 ha or 14.42%; and for the nature reserves of 3036.00 ha or 6.31%.



Agrologia ◽  
2018 ◽  
Vol 7 (1) ◽  
Author(s):  
Rafael M Osok ◽  
Silwanus M Talakua ◽  
Dhanang Supriadi

Land use planning requires a proper consideration, so that the function of land can take place continuously and sustainably. The objectives of the research were to establish the land capability class of Wai Batu Merah watershed its land use management in accordance with each land capability class. The research method was survey with synthetic and analytical approaches, and  flexible observation distance following physiographic change, soil type and land use within landunits. The results of the study showed that Wai Batu Merah watershed has 6 class and 12 sub-class land capability of II.B,KE3,e1, III.e2,  III.C, IV.b2, IV.D,b2, IV.D, VI.e4, VI.E, VII.e5, VII.F,e5, VII.F, and VIII.t5 with limiting factors of  slope steepness, erosion sensitivity, percentage of gravel and rock, and soil texture. Land use management planning  in the Wai Batu Merah watershed includes intensive, medium, and limited agriculture, intermediate and limited grazing, agroforestry, protection forest, forest, home garden, biopores and organic materials.Keywords: Land Capability Class, Wai Batu Merah Watershed



Jurnal Solum ◽  
2020 ◽  
Vol 17 (1) ◽  
pp. 12
Author(s):  
Anandyawati Anandyawati ◽  
Merlian Zikri ◽  
Eko Sumartono ◽  
Ridha Rizki Novanda ◽  
Amir Husaini Karim Amrullah ◽  
...  

The great potential in coastal sandy lands is followed by various problems and limiting factors that cause the acceleration of land use for agricultural purpose run very slowly. To overcome these limiting factors, appropriate modification and implementation of innovation is needed, namely the providing of soil conditioning materials, such as organic matter. One source of organic material that is still very rarely used, affordable, easy and cheap and simple in its application is the waste of coconut powder and human waste which we call biococotin. Providing of biococotin in coastal sandy lands decreases basic pH near neutral, increasing levels of N, P, K, C-Organic and cation exchange capacity has decreased from 7.20 to 6.40%. N levels increased from 0.021% to 0.17%, P-available increased from 2.52 ppm to 20.13 ppm, K levels increased from 2.52 cmol (+) to 9.35 cmol (+) and CEC increased from 4, 04 cmol (+) / kg becomes 7.07 cmol (+) / kg. The best growth parameters (plant height, number of leaves, longest leaf length and longest leaf width) are shown by treatment 2 which is half the dose of NPK and biococotin. The best average planting weight and yield per ha is shown by treatment 2, which is half the dose of NPK and biococotin, which is 44.03 grams / plant and 26.41 tons / ha bicocotin. Keywords : Biococotin, Coastal area, Cocopeat



AGROFOR ◽  
2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Abdel Kader EL HAJJ ◽  
Soha OLEIK ◽  
Oxana BAGHDADI ◽  
Nour TAHA ◽  
Vera TALJ ◽  
...  

Soil is the major factor determining saffron yield. Although saffron tolerates different soil types, some soils with specific characteristics perform better than others. This work was conducted to evaluate the performance of saffron crop on different soil types under homogeneous environmental conditions. Four soil types sampled from different regions were tested: Rendzic Leptosols, Anthropic Regosols, Hypercalcaric Fluvisol and Eutric Cambisols. Soil samples were put in large plastic pots (radius=0.27 m, height=0.44 m) and organized in complete block design with four replicates. Combined analysis for four years revealed significant differences between soil types regarding most yield parameters. Saffron corms performed better on calcareous clayey Rendzic Leptosols soil with respect to plant height(PL), flowers per plot, flowers per corm cluster, total stigmas fresh and dry weights, fresh and dry weight of single stigmas and total number of corms. Corms grown on Hypercalcaric Fluvisol soil produced the largest content of Crocin, Picrocrocin and Safranal. A regression analysis was used to evaluate the performance of soil types on the number of flowers per mother corm through four years of the study. In this regard, a positive significant higher slope was obtained for Rendzic Leptosols (y = 4.23x - 8514.3, R²= 0.69, p.0001). Quantitative yield attributes such number of flowers per corm cluster was significantly correlated with organic matter t (r = .60, p=.016) and calcium (r =.52,p.041) contents. Correlation analysis showed that the soil parameters most attributed to the saffron yield were organic matter, phosphorus, potassium and calcium. For soils with limiting factors (Eutric cambisols and anthropic regosols) further studies should focus on improving their performance under saffron crop.



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