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

Rahmawaty, Rahmawaty; Frastika, Sintike; Rauf, Abdur; Batubara, Ridwanti; Harahap, Fitra Syawal

doi:10.13057/biodiv/d210835

Cited by 14 publications

(10 citation statements)

References 25 publications

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“…The low level of organic matter in the soil is caused by soil degradation due to rainwater erosion. This is in accordance with [16], which states that soil degradation is the reduction or loss of part or all of the top layer of soil, decreased levels of C-organic and soil nutrient elements, as well as changes in several parameters of soil physical properties, such as soil structure, aeration pores. or pore drainage quickly becomes worse.…”

Section: Chemical Propertiessupporting

confidence: 88%

Characteristics of Soil Chemical Properties in Several Types of Oil Palm (Elaeis guineensis Jacq.) Land and Shrubs in Negeri Lama Seberang Village (Case Study of Lower Bilah Watershed)

Julfan Efendi Nasution,

Syawal Harahap,

Ayu Putri Septyani

et al. 2024

IJSE

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The Bilah Sub-Watershed area includes areas that have somewhat critical or semi-critical land so that land use is the result of human efforts in managing the available resources to meet their various needs. This often results in land use not being in accordance with its capabilities. This research aims to examine the chemical properties of several vegetation in Negeri Lama Seberang Village, Bilah Hilir District, Labuhanbatu Regency. The research was carried out from December to March 2024 using a survey method. Soil samples were taken at 3 points for each vegetation and different slopes at depths of 1-10 cm and 10-20 cm using a simple random method. The soil parameters measured were soil acidity (electrometry), soil organic carbon content (Walkley and Black), and soil texture (bouyoucos hydrometer). Soil analysis was carried out at the Laboratory of the Faculty of Agriculture, University of North Sumatra. The results of this research show that on a slope of 0-8% the average soil pH value is 4.61% and organic C is 1.04%, while on a slope of 8-15% the average soil pH value is 4.46% and C -organic 0.91%. On a slope of 0-8% the average value of the clay fraction is 20.27%, the dust fraction is 15.02% and the sand fraction is 64.41%, while on a slope of 8-15% the average value of the clay fraction is 27.48%, the dust fraction 19.87%, and sand fraction 52.63%.

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Section: Chemical Propertiessupporting

confidence: 88%

Characteristics of Soil Chemical Properties in Several Types of Oil Palm (Elaeis guineensis Jacq.) Land and Shrubs in Negeri Lama Seberang Village (Case Study of Lower Bilah Watershed)

Julfan Efendi Nasution,

Syawal Harahap,

Ayu Putri Septyani

et al. 2024

IJSE

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“…Most studies on mapping the suitability of vegetables primarily utilized the top-down multi-criteria decision-making approaches that are subject to expert opinions (e.g., Widiatmaka, 2016;Rahmawaty et al, 2020Rahmawaty et al, , 2021Mugiyo et al, 2021;Zakaria et al, 2022). In these studies, the geospatial layers were first classified into suitability groups based on literature or expert knowledge.…”

Section: Figurementioning

confidence: 99%

Extrapolation suitability index for sustainable vegetable cultivation in Babati district, Tanzania

Muthoni

Delore

Lukumay

et al. 2023

Front. Sustain. Food Syst.

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Land suitability assessment matches crop requirements with available resources to promote sustainable production. Scaling out of sustainable agricultural intensification practices to suitable biophysical and socio-economic conditions reduces the risk of failure and increases their adoption rate. This study applies a geospatial framework to identify potentially suitable sites for extrapolating two improved vegetable cultivars grown under integrated management practices (IMP's) in Babati District of Tanzania. On-farm trial data on the yield and income of two cultivars were used as a reference. Extrapolation was based on the gridded biophysical and socio-economic layers that limit the production of the two improved vegetable cultivars'. The extrapolation suitability index (ESI) showed the areas where cultivation of the two improved vegetable cultivars under IMP's can be scaled-out with a potentially low risk of failure. We generate maps of the most important limiting factor for each cultivar in every pixel to guide the spatial targeting of appropriate remedial measures. Application of these maps will promote evidence-based scaling out of improved vegetable technologies by the extension and development agencies.

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“…Penilaian kesesuaian lahan yang digunakan merujuk berdasarkan Food and Agriculture Organization (FAO), yaitu: sangat sesuai (S1), cukup sesuai (S2), sesuai marjinal (S3), dan tidak sesuai (N) [12]. Teknik konvensional yang sering digunakan untuk evaluasi kesesuaian lahan adalah pencocokan (matching) antara karakteristik lahan (land characteristics) dengan persyaratan penggunaan lahan (land use requirement) [ [16]. Namun, mayoritas tidak melibatkan korelasi atribut-atribut spasial (posisi, kedekatan, orientasi, dll.)…”

Section: Pendahuluanunclassified

Algoritme Spatial Decision Tree untuk Evaluasi Kesesuaian Lahan Padi Sawah Irigasi

Nurkholis

Muhaqiqin

Susanto

2020

RESTI

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Agriculture has a strategic role in a country whereas food self-sufficiency being the main goal to be achieved. Indonesia has set a strategic plan for increasing the productivity of several commodities, including rice, especially irrigated lowland rice. That matter can be done by agricultural land extensification, which requires a land suitability directional map. This study aims to produce irrigated lowland rice land suitability maps which can be obtained by evaluation using spatial decision tree algorithm. The model is made in two different types, where model Y is an optimized version of model X. The dataset consists of two categories, namely eleven explanatory layers which are land and weather characteristics, and a target layer that represents irrigated lowland rice land suitability in study area of Grobogan Regency, Central Java Province. As an addition to planting requirements, two spatial weather datasets were generated using ordinary cokriging interpolation, which was not used in previous research, while actually being important element for determining plant timing an agricultural commodity. Based on accuracy, model Y is the best model with 96.67%, compared to model X with 86%. Both models make relief variable as the root node, but in spatial decision tree result, model X involves all variables, while model Y does not involve an elevation variable. The addition of weather variables in models is appropriate, as evidenced by the involvement in rules.

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

Cited by 14 publications

References 25 publications

Characteristics of Soil Chemical Properties in Several Types of Oil Palm (Elaeis guineensis Jacq.) Land and Shrubs in Negeri Lama Seberang Village (Case Study of Lower Bilah Watershed)

Characteristics of Soil Chemical Properties in Several Types of Oil Palm (Elaeis guineensis Jacq.) Land and Shrubs in Negeri Lama Seberang Village (Case Study of Lower Bilah Watershed)

Extrapolation suitability index for sustainable vegetable cultivation in Babati district, Tanzania

Algoritme Spatial Decision Tree untuk Evaluasi Kesesuaian Lahan Padi Sawah Irigasi

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