Contribution of agroforestry on farmers’ income in Mapilli Polewali Subdistrict, West Sulawesi Province

Hardiyanti,; Umar, A.G. Owa; Makkarennu, Makkarennu; Millang, Syamsuddin; Putranto, Beta

doi:10.1088/1755-1315/886/1/012027

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…f. The farmer's income is income from agroforestry plus income from non-agroforestry. g. The level of contribution can be calculated by Equation 5 (Desmiwati et al 2021;Hardiyanti et al 2021).…”

Section: %Ev = Vei × 100% σVementioning

confidence: 99%

The Patterns of Agroforestry and Its Contribution to the Community Income

Roslinda,

Prisila,

Mariani

2023

J. Sylva Lestari

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Farmers choose an agroforestry pattern to fulfill various objectives, including obtaining their income. The diversity of fruit plants chosen by the Nanga Menterap village community as a component of the agroforestry system has the potential to contribute significantly as a source of community income. This research aimed to describe the agroforestry patterns and calculate the contribution of agroforestry patterns to the income of the people of Nanga Menterap Village, West Kalimantan Province, Indonesia. The research used a survey method by census. Data collection techniques included observation, questionnaires, and interviews with the Nanga Menterap Village community with agroforestry land. The agroforestry pattern in Nanga Menterap Village can be classified into two types: the agrisilvicultural and the agrosilvopastural. Farmers in Nanga Menterap Village apply a random mixture planting form in which crops and trees are planted irregularly. The agroforestry plants combined in the forestry component include durian (Durio zibethinus), aren (Arenga pinnata), tengkawang (Shorea stenoptera), mango (Mangifera indica), jackfruit (Artocarpus heterophyllus), and petai (Parkia speciosa). The agricultural component includes chili (Capsicum annuum), cocoa (Theobroma cacao), corn (Zea mays), coconut (Cocos nucifera), coffee (Coffea robusta), banana (Musa sp.), cassava (Manihot esculenta), long bean (Vigna unguiculata), ginger (Zingiber officinale), turmeric (Curcuma longa Linn. syn. Curcuma domestica Val.), eggplant (Solanum melongena), and tomatoes (Solanum lycopersicum), while the types of livestock such as pigs, domestic chickens, cows, and goats. The contribution of agroforestry to community income in Nanga Menterap Village is 82.74%. From these contributions, the agroforestry system is the right choice for the community and government to manage land. The governments should be able to facilitate and determine specific and targeted activity programs to improve the cultivation capabilities and welfare of farmers. Keywords: agroforestry, community, contribution, income

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Section: %Ev = Vei × 100% σVementioning

confidence: 99%

The Patterns of Agroforestry and Its Contribution to the Community Income

Roslinda,

Prisila,

Mariani

2023

J. Sylva Lestari

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“…Research related to forest communities, which is studied through socio-economic aspects, is exciting to discuss. Several studies have been carried out by Hardiyanti et al (2021) to determine agroforestry management patterns and calculate the contribution to farmers' income. In this article, authors present a calculation of the gift of agroforestry to the household income of pesanggem farmers and assess the agroforestry factors that influence the agroforestry income of farmer households.…”

Section: Introductionmentioning

confidence: 99%

The economic impact of agroforestry practice in production forest areas, Сentral Java province, Indonesia

Julian Santosa,

Padmaningrum,

Widiyanto

et al. 2024

Scientific Horizons

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The concept of Joint Community Forest Management in Indonesia is an effort to involve communities in forest management through agroforestry to support forest sustainability. Agroforestry (or persilan in local language) carried out by pesanggem in the KPH Kebonharjo and KPH Mantingan Working Areas significantly contributes to the pesanggem household income. This research wants to measure the provision of agroforestry on pesanggem household income and examine agroforestry factors that influence pesanggem household income. Data collection techniques through surveys and observations of 216 pesanggem households were carried out in the KPH Kebonharjo and KPH Mantingan areas, divided into eight villages respectively. The data was then analyzed descriptively and by multiple linear regression analysis. The research results found that the agroforestry pattern through land plots refers to agricultural activities by pesanggem in forest areas by utilizing forest land belonging to Perum Perhutani as agricultural/persilan for planting seasonal crops. Persilan contributions provide a moderate contribution to pesanggem households in KPH Kebonharjo and KPH Mantingan with a total contribution percentage of 38% or IDR 11,000,000 per household per year with details for each KPH Kebonharjo 44% (IDR 10,900,000 per household per year) and KPH Mantingan 33% (Rp. 11,200,000 per household per year). Based on the results of linear regression analysis, some variables significantly influence measurements with degrees of confidence of 85%, 95%, and 99%. The variables agricultural equipment (sig. 0.133), distance to agroforestry land (sig. -0.051), labor utilization (sig. 0.038), and land area of land persil (sig. 0.001) show an influence on the agroforestry income of pesanggem households in KPH Kebonharjo. In addition, the variables farming income (sig. -0.143), other income (sig. 0.048), area of land plots (sig. 0.037), and distance to agroforestry land (sig. 0.001) show an influence on the agroforestry income of pesanggem households, at KPH Mantingan. This research provides valuable insights into the complex relationships between agroforestry, production forests, and economic dynamics, providing a foundation for sound policy-making and encouraging environmentally conscious economic growth

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“…Saputro researched the contribution of agroforestry crops to farmers' income, with the main crop being cacao in the Nglanggeran Agricultural Technology Park [28]. Research Hardiyanti want to know the agroforestry management pattern and calculate agroforestry's contribution to farmers' total income [29]. Unlike the two previous studies, Desmiwati focus more on the contribution of agroforestry to household income by analyzing structured household income and analyzing agroforestry factors that affect total household income, with the results showing that agroforestry contributes 15.8% of the total income of farmer households in addition to factors that influence agroforestry income, namely land area and age [30].…”

Section: Introductionmentioning

confidence: 99%

Structure of Agroforestry Farmers’ Household Income: Findings from the Kendeng Mountains Area, Indonesia

Santosa,

Padmaningrum,

Widiyanto

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Agroforestry systems have received much attention as sustainable land use practices that integrate agricultural crops and forest crops by local people to maximize the income structure. However, often the structure of household income who adopted this system is volatile and unpredictable. The purpose of this study was to examine the income structure of farmer households that rely on agroforestry systems and explore factors that influence agroforestry income. We used variables of age, education, land area, number of activities of non-agroforestry, number of cultivated plants, and institutional participation. This study used survey techniques and in-depth interviews to collect data in Tegaldowo Village which was chosen based on the agroforestry potential of the surrounding villages in the Kendeng Mountains region. We interviewed 34 households selected from the population by random sampling, then we analyzed all informations by using descriptive and regression analysis. The analysis results showed that agroforestry income contributes 57.4% of the total household income approximately 25,071,029 IDR (1,729 USD) per household per year. In addition, non-agroforestry income contributed 4.2% of total household income consisting of 14% paddy field farming, skilled labor 842%, public workers 9.9%, traders 0.8%, employee 8.7%, remittances 0.8%, and other income 3.6%.

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Contribution of agroforestry on farmers’ income in Mapilli Polewali Subdistrict, West Sulawesi Province

Cited by 4 publications

References 4 publications

The Patterns of Agroforestry and Its Contribution to the Community Income

The Patterns of Agroforestry and Its Contribution to the Community Income

The economic impact of agroforestry practice in production forest areas, Сentral Java province, Indonesia

Structure of Agroforestry Farmers’ Household Income: Findings from the Kendeng Mountains Area, Indonesia

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