scholarly journals Evaluasi Kesesuaian Lahan Untuk Tanaman Kopi Arabika (Coffea Arabica) di Kecamatan Pollung Kabupaten Humbang Hasundutan

2018 ◽  
Vol 5 (1) ◽  
pp. 61-60
Author(s):  
Irvan Selamat Purba ◽  
Posma Marbu ◽  
Fauzi

The aims of this study was to evaluate the suitability of land for Arabica coffee crops in Pollung District of Humbang Hasundutan Regency. There are sixteen land map units (SPL) determined based on the soil type map, slope map and altitude map resulting from topographic map with scale of 1: 50.000, then grounding on soil type map data, slope map, and altitude map (overlay). Assessment of land suitability class based on the criteria from Bogor Land Research Center. The land evaluation method is the matching method. The results showed that the highest potential land suitability class on Arabica coffee plant was SPL 7 very suitable (S1) and SPL 3, 4, 5, 8, 9, 10, 12, 15, 16 suitable with marginal condition with limit factor is rooting medium (S3rc)

2020 ◽  
Vol 8 (1) ◽  
pp. 231-238
Author(s):  
Fitra Syawal Harahap ◽  
R Rahmaniah ◽  
Simon Haholongan Sidabuke ◽  
Muhammad Zuhirsyan

Sorghum has great potential to be cultivated and developed commercially because it has wide adaptability, high productivity, is resistant to plant pests and is more resistant to marginal conditions. Land evaluation is useful as a basis for sector development in an area that is useful for reorganizing the existing land use to assist in making land use planning decisions. This study that was aimed to evaluate land suitability for sorghum was conducted descriptively using the survey method. The sampling method used was based on a land map unit with a free grid system. The land evaluation was carried out by matching and comparing land characteristics with land suitability class criteria to obtain land suitability classes for sorghum plants in Bilah Barat District, Labuhanbatu Regency. There were six soil sample points collected at a depth of 0-60 cm to determine the value of soil characteristics. The results showed that the cultivated sorghum in Bilah Barat District, Labuhanbatu Regency of 12,829 ha which has the actual land suitability class for sorghum is Nwa with the potential land suitability class is S2tcwa.


2021 ◽  
Vol 306 ◽  
pp. 04008
Author(s):  
Afrizal Malik ◽  
Widia Siska ◽  
Heppy Suci Wulanningtyas ◽  
Merlin K. Rumbarar ◽  
Adhe Poppy Wira Etikha ◽  
...  

Cacao is a primary commodity in the Keerom Regency, but production has been decreasing in recent years. Cacao cultivation on unsuitable land and without cutting-edge technology would impede efforts to increase its productivity. The study aimed to evaluate land suitability for cacao in Keerom Regency, Papua, and to suggest site-specific technologies. The study was carried out in the Keerom Regency of Papua in 2015. Land suitability assessment was carried out by matching data on land characteristics (climate, slope, soil type, and soil fertility) with land use requirements for cacao cultivation. The data was analyzed using geographic information systems. The result showed that 78.077 ha (8.60%) of the studied area were highly suitable for cacao cultivation, 123.645 ha (13.63%) was moderately suitable, and 389.603 ha (42.94%) was marginally suitable. About 316.082 ha (34,83%) of the studied area was classified as not-suitable. The recommendation technology for increasing cacao yields were fertilization, pruning, shade management, and individual terraces. Cultivation on suitable land and the application of technological innovations are expected to increase cacao production in Keerom Regency, Papua. The findings of this study could be used as a reference for policymakers to establish cacao development in the future.


2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Chaula Lutfia S ◽  
Fauzul Azhimah

Land resources are natural resources that are very important for human survival because natural resources are needed in every life. Land evaluation is an estimate of suitability for a particular land use in order to optimize the existing land in an area. This study aims to assess the suitability class of rubber plantations in environmental conservation efforts in Giri Nanto Village, Seluma Regency. The study was conducted in 2015 with a free survey method, analyzed descriptively qualitatively and quantitatively through an analysis approach to environmental impact and mapped through analysis using Arc.Gis software 10.0, land map units, and rubber land suitability criteria with a map scale of 1: 85,000. The results showed that the total area of potential land in the Giri Village area would later be 1,185 ha. The distribution of potential land suitability classes for  rubber plants was mostly S2 land classes (quite suitable) covering 622.82 ha (8.9%), S3 class (marginal suit) covering 526.4 ha (7.5%), and land classes N (incompatible) covers 35.68 ha (0.5%) .The limiting factor for the potential S3 land suitability class (according to marginal) is 16-30% slope, and class N (not suitable), namely rough soil texture. Allowing closed land to slope> 40%, and the texture of coarse soil as a protected forest area are expected to function as an alternative to sustainable land conservation for environmental conservation.


2002 ◽  
Vol 67 (1) ◽  
pp. 89-101 ◽  
Author(s):  
Tristram R. Kidder

Even though the general configuration of the Poverty Point site has been known for over forty years, the entire site was mapped for the first time in 1999–2000. In this paper we examine how Poverty Point has been portrayed in the archaeological literature. Tracings of stereoscopic aerial photographs were used to construct previous maps of the site. Features that could not be traced because of tree cover were interpolated. Succeeding representations of the site show different features and emphasize the symmetrical form of the site, including the presence of ridges separated by aisles. The 1999–2000 map demonstrates that earlier images of the site overemphasize earthworm symmetry. Our data suggest that the northern aisle does not exist and may have been introduced into earlier maps in order to complete a hypothesized regular site plan. Images of a site like Poverty Point are powerful representations of a perceived reality. For example, existing maps of Poverty Point have been used to bolster claims that the site represents a "great town," with a large population and some kind of centralized leadership. Despite a considerable history of research at Poverty Point map data alone cannot and probably will never provide sufficient evidence to support or reject such a claim. While mapping alone cannot answer questions about the nature of site organization or social behavior, differences between existing images and the current topographic map underscore the need to view maps and pictures of Poverty Point as a means for generating testable hypotheses, rather than an end unto itself.


2021 ◽  
Vol 21 (3) ◽  
Author(s):  
Leonel Lara-Estrada ◽  
Livia Rasche ◽  
Uwe A. Schneider

AbstractCoffee cultivation in Central America provides goods and services at local, national, and international levels. Climate change is likely to affect the magnitude and continuity of these benefits by reducing the land suitability for coffee cultivation. To quantify the impacts of climate change on land suitability, we use the Bayesian network model Agroecological Land Evaluation for Coffea arabica L. (ALECA) and estimate the land suitability for coffee production in 2000, 2050, and 2080 under three climate change scenarios based on relative concentration pathways (RCPs) 2.6, 4.5, and 8.5. Results indicate that even under the less severe climate scenarios, over half of the current coffee area in Central America will experience a decline in its land suitability for coffee production, from excellent or good to moderate and marginal, and that the change will not happen in the more distant future of 2080, but by 2050. Under RCP 8.5, most coffee areas become of marginal and moderate suitability. The findings show that the continuity of coffee cultivation in a large portion of coffee areas in Central America is under threat and that farmers and policy-makers should develop adaptation portfolios for their farms and regions in a timely manner.


2015 ◽  
Vol 15 (1) ◽  
pp. 33-40 ◽  
Author(s):  
Mira Delima ◽  
Abubakar Karim ◽  
M. Yunus

(The study of prospective forage production on existing and potential land use to support increasing livestock population in Aceh Besar) ABSTRACT. The purpose of this research was to find out the width and scattered location of existing land use which its land capability class suitable for pastures; forage production prospective, and land carrying capacity. The combination of survey and evaluation method was used in this study. The primary data were obtained by field observation and compiling documents, while the secondary data were obtained from various sources, including Bappeda Aceh, and Dinas Peternakan Aceh Besar. Land capability classification was defined based on a modified USDA method and land capability class mapping was prepared based on overlay method by geoprocessing of Geographic Information Systems. The attributes delineating land capability classification included slope, erosion potential and soil depth. Spatial and attributes data were processed using ArcGIS 9.3. Interpretation of land use map derived from satellite imagery analysis results. Brachiaria humidicola green production (tons/year) was determined by assumption-based on obtaining data from various sources. Present livestock population and increasing of population target up to 2017 were obtained from Dinas Peternakan Aceh Besar. The results showed that the existing land use area was 28,632.23 ha (59.03 %), whereas the potential land use area was 19,875.73 ha (40.97%). Land use area for pastures in the district of Aceh Besar, both existing and potential, were sufficient to support the achievement of livestock population increasing program.


2020 ◽  
Vol 4 (2) ◽  
pp. 108
Author(s):  
Dimas Prakoswo Widayani ◽  
Kresna Shifa Usodri

Mount Arjuna is a mountainous area with forests and several cultivated plants located in Malang Regency, East Java. The forest is a complex area that is used as a protected area, research and production forest for agricultural commodities. The complex is located in the forest resulted in highly varied environmental conditions. The forest consists of several areas, namely protected forest, production forest, coffee plantation, and seasonal plantations. The Arjuna mountain area has several stands including pine and mahogany, but most of it is filled with pines by 90% and mahogany trees around 10%. Most of the coffee plants found in the Arjuna mountain forest area are Arabica coffee, while the rest is robusta coffee. This research was conducted on the slopes of Mount Arjuna, located in Sumbersari Village, Karangploso District, Malang Regency, East Java. This research was conducted from July to October 2017. This research employed a survey method by taking several sample points that represent the coffee plants in the area. Several sampling plots for land suitability analysis were identified in the area: The observation stages were carried out by taking air temperature data using a thermohygrometer by taking the minimum and maximum temperature data, taking air humidity using a thermohigrometer as well as minimum and maximum data and light intensity data using lux meters, taking soil samples to measure nutrients and soil fertility, and measuring the height and slope of the land. The results of the observations that have been made will be analyzed using the land suitability analysis method, by adjusting the area's data with the land suitability level for robusta and arabica coffee plants.Gunung Arjuna merupakan kawasan pegunungan dengan hutan serta beberapa tanaman budidaya yang terletak di Kabupaten Malang, Jawa Timur. Hutan tersebut merupakan kawasan kompleks yang dimanfaatkan sebagai kawasan lindung, riset dan juga hutan produksi untuk komoditas pertanian. Kondisi hutan yang kompleks mengakibatkan kondisi lingkungan tersebut sangat bervariatif. Hutan terdiri dari beberapa kawasanya, yaitu hutan lindung, hutan produksi, perkebunan kopi serta kawasan tanaman semusim. Kawasan gunung Arjuna memiliki beberapa tegakan diantaranya pinus dan mahoni namun sebagian besar dipenuhi oleh pinus sebesar 90% dan pohon mahoni berkisar 10%. Sebagian besar tanaman kopi yang terdapat pada kawasan hutan gunung Arjuna adalah jenis kopi arabika sedangkan sisanya adalah kopi robusta. Penelitian ini dilakukan di kawasan lereng Gunung Arjuna, Terletak di Desa Sumbersari, Kecamatan Karangploso, Kabupaten Malang, Jawa Timur. Penelitian ini akan dilaksanakan pada bulan Juli–Oktober 2017. Penelitian ini menggunakan metode survei dengan mengambil beberapa titik sampel yang mewakili yang mewakili tanaman kopi di kawasan tesebut. Beberapa plot sampel pengambilan sampel untuk analisis kesesuaian lahan diidentifikasi pada kawasan: Adapun tahapan pengamatan yang dilakukanya itu pengambilan data suhu udara menggunakan termohigrometer dengan mengambil data suhu minimum dan maksimum, pengambilan kelembapan udara dengan alat termohigrometer juga data minimum dan maksimum serta data intensitas cahaya menggunakan lux meter, pengambilan sampel tanah untuk mengukur hara serta kesuburan tanah, mengukur ketinggian serta tingkat kelerengan lahan. Hasil pengamatan yang telah dilakukan akan dianalisis menggunakan metode analisis kesesuaian lahan, dengan menyesuaikan data kawasan tersebut dengan tingkat kesesuaian lahan untuk tanaman kopi robusta dan arabika.


2011 ◽  
Vol 243-249 ◽  
pp. 5818-5821
Author(s):  
Wen Hui Zheng

Constructive land suitability evaluation is the premise of effectively disposing land resource. China is in the historical period that urbanization develops fleetly; the demand of construction land grows rapidly; carrying on the research about method of constructive land suitability evaluation presents strong practical significance and broad application prospect. The paper summarizes basic analysis method of constructive land suitability evaluation based on GIS from five basic links which cohere each other, and then introduces the research development of constructive land suitability evaluation from angles of ensuring evaluation factor and factor weight, evaluation factor classification, land classification. Finally, the paper analyses research direction of this work from angles of consummating the evaluation method and using new mathematical method, releasing the related criteria by government department, and the combination between urban extended model, area development strategy, and GIS.


2018 ◽  
Vol 47 (4) ◽  
pp. 298-307 ◽  
Author(s):  
Yaser Hoseini ◽  
Morteza Kamrani

Land evaluation for irrigation is the process of predicting land use potential on the basis of soil attributes. The Food and Agriculture Organization (FAO) framework for land suitability evaluation is the most commonly used and is based on the biophysical properties of lands. The FAO framework method for land suitability application Boolean approach that has been criticized by some researchers. Because the Boolean representations ignore the continuous nature of soil and uncertainties in measurement and also its inability for overcoming problems related to vagueness in definition and other uncertainties, fuzzy set methodologies have been proposed. In the present study, the qualitative land suitability evaluation for sprinkler irrigation using parametric-based FAO learning and fuzzy inference system was carried out in an area of 5175 ha in Northwest Iran. By overlaying the layers (soil texture, soil depth, lime, electric conductivity, drainage, and slope) and use of spatial data modeler in ArcGIS 9.3, land evaluation maps for sprinkler irrigation were provided for the area under study. Results showed that based on the parametric approach, 1598 ha of the study area were classified as highly suitable (S1 class) for sprinkler irrigation; the area of highly suitable lands in the parametric method was about five times the area of highly suitable lands obtained through the fuzzy method. In addition, the two methods were completely different in determining moderately suitable lands (S2). Accordingly, 787 ha in the area was moderately suitable using the parametric method, which was about two times that obtained through the fuzzy method. This showed the significant difference between two methods applied to evaluate the lands. Moreover, fuzzy approaches accommodate the continuous nature of some soil properties and produce more intuitive distributions of land suitability indexes.


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