Mapping of Land Suitability for Rambutan (Nephelium lappaceum) in Community Agroforestry Land at Gunung Ambat Village and Simpang Kuta Buluh Village

Rambutan (Nephelium lappaceum) is Sapindaceae family, commonly found in agroforestry land, owned by the community in Langkat District, North Sumatra Province as One of Multy Purpose Tree Species. This study aimed to asses and map the distribution land suitability for N. lappaceum. This research was conducted in Gunung Ambat Village and Simpang Kuta Buluh Village, Sei Bingai Sub District, Langkat Regency using survey method. The soil samples data was collected in the field based on the land unit. Land suitability assessment was evaluated using matching method. To map the distribution of land suitability, the Geographic Information System (GIS) was used. Global Positioning System (GPS) also was used in this study to record the coordinate points of each soil sample from the field. The results indicate that the actual land suitability classes for N. lappaceum were dominated by moderately suitable (S2) (97.56%) in Gunung Ambat Village and moderately suitable (S2) (52.92%) in Simpang Kuta Buluh Village. The water availability (wa) and root zone medium (rc) were the dominant limiting factor in this area.

Download Full-text

Land suitability assessment for Lansium domesticum cultivation on agroforestry land using matching method and geographic information system

Biodiversitas Journal of Biological Diversity ◽

10.13057/biodiv/d210835 ◽

2020 ◽

Vol 21 (8) ◽

Author(s):

RAHMAWATY RAHMAWATY ◽

SINTIKE FRASTIKA ◽

ABDUL RAUF ◽

RIDWANTI BATUBARA ◽

FITRAH SYAWAL HARAHAP

Keyword(s):

Information System ◽

Geographic Information System ◽

Root Zone ◽

Geographic Information ◽

Land Suitability ◽

Limiting Factors ◽

Matching Method ◽

Suitability Assessment ◽

Land Suitability Assessment ◽

Lansium Domesticum

Abstract. Rahmawaty, Frastika S, Rauf A, Batubara R, Harahap FS. 2020. Land suitability assessment for Lansium domesticum cultivation on agroforestry land using matching method and geographic information system. Biodiversitas 21: 3683-3690. Lansium domesticum is one of the multipurpose tree species (MPTS) and is commonly found on agroforestry lands in Sumatra. This study aimed to evaluate the actual land suitability classes for L. domesticum and to map the potential land suitability for the species using matching method and geographic information system (GIS). The study was conducted in Sei Bingai Sub-district, Langkat District, North Sumatra, Indonesia. A survey was conducted to collect soil samples based on land units. Land unit information was obtained by overlaying soil map, land-use map, and slope map. Land suitability was evaluated based on the matching method and GIS was used to map the distribution of land suitability. The results showed that both the actual and potential land suitability classes based on matching approach for L. domesticum were moderately suitable (S2) which accounted for 88.95% of total land and marginally suitable (S3) which accounted for 11.05%. Availability of water (wa), erosion hazard (eh), root-zone medium (rc), oxygen availability (oa), and nutrient retention (nr) were the dominant limiting factors in this area. The most difficult constraints to manage were root-zone medium and water availability. The results of this study suggest that the development of L. domesticum in Sei Bingai is possible although it requires some land improvements to deal with the limiting factors.

Download Full-text

Reevaluation of Land Fitness For Soybean Plant in Kabamatan Stabat, Langkat District

International Journal of Applied Biology ◽

10.20956/ijab.v4i1.9168 ◽

2020 ◽

Vol 4 (1) ◽

pp. 15-20

Author(s):

Leni Handayani ◽

A Rauf ◽

Rahmawaty Rahmawaty ◽

T Supriana

Keyword(s):

Soil Texture ◽

Land Suitability ◽

Limiting Factors ◽

Organic N ◽

Limiting Factor ◽

Soybean Plant ◽

Marginal Fit ◽

Suitability Assessment ◽

Soybean Plants ◽

Land Suitability Assessment

A decrease in the area of soybean farming has an effect on reducing soybean production from year to year so that it has not been able to meet the needs of national soybean consumption. Land suitability assessment is an effort to be able to optimize land use. In the process of assessing land suitability manually, it is considered inaccurate. The purpose of this study was to determine the land suitability class for soybean plants. The land suitability classification system used is the FAO land suitability classification classified at the sub-class level. Land suitability evaluation uses a matching system, as well as comparing the characteristics of land with plant growing community formulated in the technical evaluation of land guidelines for agricultural commodities. In the matching process Leibig's minimum law is used to determine the limiting factors that will affect the suitability of the class and sub-class of the land. Requirements for growing plants become kiteria in conformity evaluation. The results showed that the limiting factors of land suitability for soybean plants that had to be improved were temperature, rainfall, soil texture, C-Organic, N-Total and P-Available soil. The limiting factor of temperature and soil texture cannot be improved so that the marginal fit class (S3) on actual land suitability remains marginal fit (S3) in terms of potential land suitability.

Download Full-text

EVALUASI KESESUAIAN LAHAN UNTUK TANAMAN CABAI RAWIT DI KECAMATAN WAGIR, KABUPATEN MALANG

Jurnal Tanah dan Sumberdaya Lahan ◽

10.21776/ub.jtsl.2021.008.1.29 ◽

2020 ◽

Vol 8 (1) ◽

pp. 259-271

Author(s):

Januardi Fransiskus Simanjuntak ◽

Christanti Agustina ◽

Mochtar Lutfi Rayes

Keyword(s):

Crop Productivity ◽

Land Suitability ◽

Survey Method ◽

Land Quality ◽

Suitability Assessment ◽

Stepwise Method ◽

Land Suitability Assessment ◽

Field Data Analysis ◽

New Criteria ◽

Total P

Land characteristics are factors that affect crop productivity. Different conditions of land characteristics will cause differences in crop productivity. Evaluation of land suitability can be used as a basis in assessing land quality to determine the factors of land characteristics that cause differences in crop productivity. The purpose of this study was to determine actual land suitability for cayenne pepper, determine which land characteristic affect crop productivity, and modify land suitability based on actual productivity suitability classes. This study was conducted in Wagir District, Malang Regency with a survey method on 8 Land Map Units (LMU) with 42 observation points. Quantitative parameters observed in this study include soil texture, pH, CEC, C-Organic, base saturation, N-total, P-available, exchangeable K, Ca, Mg, Na, and productivity of cayenne pepper in the field. Data analysis was performed by correlation test and multiple regression with the stepwise method. The results showed the actual land suitability class of cayenne pepper in the study area was S3 and N. Modifications to the characteristics of the land that most influence the productivity of cayenne pepper in the field, namely the pH of the soil produce new criteria with classes S1: 6.0-7.6; S2: 5,7–6,0; S3: 4,6-5,7; and N: <4,6. The land suitability assessment using the modified criteria resulted in the S3 conformity class, which was similar to the percentage productivity class and the N conformity class that was similar to the percentage productivity class.

Download Full-text

Land suitability assesment for Coffea arabica on the land overgrowed by Uncaria gambir

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/886/1/012121 ◽

2021 ◽

Vol 886 (1) ◽

pp. 012121

Author(s):

Rahmawaty ◽

Y A Ginting ◽

R Batubara ◽

G Carenina ◽

C F Ginting ◽

...

Keyword(s):

Soil Texture ◽

Coffea Arabica ◽

Root Zone ◽

Laboratory Data ◽

Land Suitability ◽

Land Evaluation ◽

Limiting Factor ◽

Matching Method ◽

North Sumatra

Abstract Aornakan I and Kuta Tinggi villages are villages located in Pak-pak Bharat Regency, North Sumatra Province. Currently, the villagers are planting Uncaria gambir and Coffea arabica. This study aimed to evaluate land for cofffe plantations on land overgrown with gambier in Pak-pak Bharat Regency. Sampling was carried out purposively on land overgrown with gambier plants in Aornakan I Village, Pargetteng-getteng Sengkut Sub-district and Kuta Tinggi Village, Salak Sub-district, Pakpak Bharat Regency. The evaluation of land suitability for coffee uses the matching method, namely by analysing laboratory data and data measured in the field with the characteristics of the land for cofffe. The results showed that the land evaluation for Coffea arabica was marginally suitable (S3) with the limiting factor was the root zone media (rc) in terms of soil texture.

Download Full-text

Land Suitability Assessment for Some Carbohydrate Food Crops at Wetland Area in Arisan Jaya

Jurnal Lahan Suboptimal ◽

10.33230/jlso.9.2.2020.470 ◽

2020 ◽

Vol 9 (2) ◽

pp. 117-126

Author(s):

Satria Jaya Priatna ◽

Djak Rahman ◽

Supriyadi Supriyadi

Keyword(s):

Sweet Potato ◽

Interpolation Method ◽

Land Suitability ◽

Wetland Rice ◽

Soil Conditions ◽

Limiting Factor ◽

Food Crops ◽

Wetland Area ◽

Suitability Assessment ◽

Land Suitability Assessment

Priatna SJ, Rahman D, Supriyadi S. 2020. Land suitability assessment for some carbohydrate food crops at wetland area in Arisan Jaya. Jurnal Lahan Suboptimal : Journal of Suboptimal Lands 9(2): 117-126.The nature condition and lack of knowledge about soil characteristics have become a limitation for crops cultivation and development in Arisan Jaya. This study aimed to determine the type of crops that has potential to be developed in site. The assessment was carried out in Arisan Jaya, Pemulutan Barat Sub-District, Ogan Ilir Regency, South Sumatera from April to August 2015. The study method is 1:30.000 semi-detailed survey. The location of the sample was determined by grid method with one sample for every 1.000 meters with 10 sample sites. A disturbed soil sample was taken as deep as 150 cm from the ground surface. Land characteristics data were matched with crops growth requirements based on the suitability classes set for wetland rice, dry land rice, corn, cassava and sweet potato. The distribution of soil properties was known by IDW (Inverse Distance Weighting) interpolation method, which was overlapped to determine the distribution of land suitability classes. Very acidic soil conditions was a major limiting factor for crops cultivation in general (the actual suitability class is Nf). Wetland rice was relatively more suitable to be cultivated than dryland rice in the site. Corn and cassava could be planted as rotational crops before the rainy season or after rice season, although the productivity would not be optimal (S2 potential suitability class). Climatic conditions was another limiting factor for the development of sweet potato at the site (S3 potential suitability class).

Download Full-text

EVALUASI KESESUAIAN LAHAN UNTUK TANAMAN NANAS DI DAS MIKRO SUPITURUNG KECAMATAN PLOSOKLATEN KABUPATEN KEDIRI JAWA TIMUR

Jurnal Tanah dan Sumberdaya Lahan ◽

10.21776/ub.jtsl.2021.008.2.22 ◽

2021 ◽

Vol 8 (2) ◽

pp. 515-525

Author(s):

Sarah Nur Shabrina ◽

Mochtar Lutfi Rayes ◽

Christanti Agustina

Keyword(s):

Land Suitability ◽

Survey Method ◽

Boundary Line ◽

Potential Productivity ◽

Suitability Evaluation ◽

Land Suitability Evaluation ◽

Suitability Assessment ◽

Stepwise Method ◽

Land Suitability Assessment ◽

Line Analysis

Fruit plants in Kediri Regency are classified as having good economic potential, one of which is pineapple. Pineapple plants in Kediri Regency have differences in productivity in each sub-district. The results of interviews with local farmers indicated that the Supiturung Micro Watersheds in Plosoklaten District had low pineapple productivity and were not yet optimal. Therefore, this study aimed to determine the factors causing differences and less optimal productivity of pineapples in the Supiturung Micro Watersheds and analyze the land suitability assessment of pineapple plants in the region. This study used a survey method with a physiographic approach to 10 Land Map Units (LMU) and determined 20 observation points as representatives. Data analysis was performed through correlation and multiple regression tests with the stepwise method to determine the land characteristics that most significantly affected pineapple productivity. Modification of the suitability class and modification of the criteria was carried out utilizing boundary line analysis, with class boundaries according to FAO (1976), namely class S1 (80-100%), S2 (60-80%), S3 (40-60%), and N (<40%) of the potential productivity. The land suitability evaluation results of pineapple plants in the Supiturung Micro Watersheds were included in land suitability classes S2, S3, and N. Based on the stepwise method analysis, the texture is a significant characteristic affecting the productivity of pineapples (p <0.05) with a correlation coefficient value of 0.838. The modification of land suitability criteria with boundary line analysis resulted in changes in one land characteristic, namely soil texture S2, S3, and N. Initially, the rough class included in the N class was changed to S2 level along with the slightly rough level.

Download Full-text

Evaluasi Kesesuaian Lahan Tanaman Kacang Tanah (Arachis hipogeae L.) di Desa Werwaru Kecamatan Pulau Moa

JURNAL BUDIDAYA PERTANIAN ◽

10.30598/jbdp.2018.14.1.35 ◽

2019 ◽

Vol 14 (1) ◽

pp. 35-40

Author(s):

Marlin J Oraplawal ◽

Johanis P Haumahu ◽

Robby G Risamasu

Keyword(s):

Growth Period ◽

Land Suitability ◽

Limiting Factors ◽

Survey Method ◽

Quality Factors ◽

Land Area ◽

Suitability Assessment ◽

Effective Depth ◽

Land Suitability Assessment

This study was aimed to determine the limiting factors for peanut plants found in the field and establish land suitability class for peanuts in Werwaru Village, Moa Island Sub-District Western South Maluku District. The method used in this research was survey method. Distance observation was free survey, by using identification observation type (boring), and pit profile. Based on the actual land suitability assessment, it was known that in the research location there were several characteristic and quality factors of the land that became the limiting factors on the growth of peanut crops, i.e: rainfall factor during growth period (wa), effective depth (r), C-organic (nr), slope (s). Based on the land area improvement action for peanut crops were in the S2 and S3 classes. The recommended land units for peanut plants were: for class S2: L0a1D, L0a3A, L0a3B, L0a3C, L0a3D, L1a1D, L1a3B, L2a1D, L2a3B with area 1942,13 ha or 36.1 percent and S3: L0a2E, L1a2E, L2a2E covering an area of 219.12 ha or 4.1 percent. Keywords: evaluation of land suitability, peanuts, Werwaru Moa Island ABSTRAK Penelitian ini bertujuan untuk menentukan factor-faktor pembatas untuk tanaman kacang tanah yang terdapat di lapangan dan menetapkan kelas kesesuaian lahan untuk tanaman kacang tanah di desa Werwaru Kecamatan Pulau Moa Kabupaten Maluku Barat Daya. Metode yang digunakan dalam penelitian ini adalah metode survey. Jarak observasi yang digunakan adalah free survey, dengan menggunakan tipe pengamatan identifikasi (boring), dan profil pit. Berdasarkan hasil penilaiaan kesesuaian lahan aktual diketahui bahwa pada lokasi penelitian terdapat beberapa faktor karakteristik dan kualitas lahan yang menjadi faktor pembatas terhadap pertumbuhan tanaman kacang tanah yakni: faktor curah hujan pada masa pertumbuhan (wa), kedalaman efektif (r), C-organik (nr), Kemiringan lereng (s). Berdasarkan tindakan perbaikan satuan lahan yang direkomendasikan untuk tanaman kacang tanah yaitu pada kelas S2 dan kelas S3. Satuan lahan yang direkomendasikan untuk tanaman kacang tanah yakni: Untuk kelas S2: L0a1D, L0a3A, L0a3B, L0a3C, L0a3D, L1a1D, L1a3B, L2a1D, L2a3B dengan luas 1942,13 ha atau 36,1 persen dan S3: L0a2E, L1a2E, L2a2E dengan luas 219,12 ha atau 4,1 persen. Kata kunci: evaluasi kesesuaian lahan, kacang tanah, Werwaru Pulau Moa

Download Full-text

Agricultural Land Suitability Assessment Using Satellite Remote Sensing-Derived Soil-Vegetation Indices

Land ◽

10.3390/land10020223 ◽

2021 ◽

Vol 10 (2) ◽

pp. 223

Author(s):

Rubaiya Binte Mostafiz ◽

Ryozo Noguchi ◽

Tofael Ahamed

Keyword(s):

Remote Sensing ◽

Satellite Remote Sensing ◽

Agricultural Land ◽

Expert Knowledge ◽

Vegetation Indices ◽

Land Suitability ◽

Assessment System ◽

Yield Estimation ◽

Suitability Assessment ◽

Land Suitability Assessment

Satellite remote sensing technologies have a high potential in applications for evaluating land conditions and can facilitate optimized planning for agricultural sectors. However, misinformed land selection decisions limit crop yields and increase production-related costs to farmers. Therefore, the purpose of this research was to develop a land suitability assessment system using satellite remote sensing-derived soil-vegetation indicators. A multicriteria decision analysis was conducted by integrating weighted linear combinations and fuzzy multicriteria analyses in a GIS platform for suitability assessment using the following eight criteria: elevation, slope, and LST vegetation indices (SAVI, ARVI, SARVI, MSAVI, and OSAVI). The relative priorities of the indicators were identified using a fuzzy expert system. Furthermore, the results of the land suitability assessment were evaluated by ground truthed yield data. In addition, a yield estimation method was developed using indices representing influential factors. The analysis utilizing equal weights showed that 43% of the land (1832 km2) was highly suitable, 41% of the land (1747 km2) was moderately suitable, and 10% of the land (426 km2) was marginally suitable for improved yield productions. Alternatively, expert knowledge was also considered, along with references, when using the fuzzy membership function; as a result, 48% of the land (2045 km2) was identified as being highly suitable; 39% of the land (2045 km2) was identified as being moderately suitable, and 7% of the land (298 km2) was identified as being marginally suitable. Additionally, 6% (256 km2) of the land was described as not suitable by both methods. Moreover, the yield estimation using SAVI (R2 = 77.3%), ARVI (R2 = 68.9%), SARVI (R2 = 71.1%), MSAVI (R2 = 74.5%) and OSAVI (R2 = 81.2%) showed a good predictive ability. Furthermore, the combined model using these five indices reported the highest accuracy (R2 = 0.839); this model was then applied to develop yield prediction maps for the corresponding years (2017–2020). This research suggests that satellite remote sensing methods in GIS platforms are an effective and convenient way for agricultural land-use planners and land policy makers to select suitable cultivable land areas with potential for increased agricultural production.

Download Full-text