Tumpangsari-Agroforestry Practices and Its Socioeconomic Impact on Communities in the Gunung Arjuna-Lalijiwo Forest Reserve, East Java, Indonesia
Notice bibliographique
Résumé
The issue of poverty remains a significant and persistent challenge in Indonesia, particularly in rural areas. Agroforestry has been practised in the Gunung Arjuna Reserve Forest, which has been managed by Perhutani since the 1970s. However, the absence of effective oversight and guidance has hindered substantial socioeconomic progress. In 2016, the management of 544.74 hectares of this forest was taken over by Universitas Brawijaya (UBF). This study focused on the Karangploso sub-district, specifically within the Tawangargo, Donowarih, and Ngenep villages under UBF's management. The study aimed to assess the impact of the transition from Perhutani's management to UBF's current administration of the Gunung Arjuna Reserve Forest. It did so by (i) analyzing factors influencing the total area of cultivated land in the tumpangsari-agroforestry system and (ii) evaluating the socioeconomic consequences of this management shift. A quantitative approach and convenience sampling technique were employed, selecting respondents based on accessibility and proximity to the researcher on-site. The results indicated that 34% of respondents cultivated crops on land areas ranging from 1.0 to 1.5 hectares. The regression analysis demonstrated a strong relationship (R2 = 0.847) between factors such as work duration, plant diversity, education level, income, and the number of family members engaged in farming and the total cultivated land area. The study also found that the transition from Perhutani to UBF management had a significantly positive impact on socioeconomic aspects, such as total income, social interactions, and infrastructure, as perceived by 67% of respondents. Furthermore, 70% of respondents acknowledged their reliance on the agroforestry system for income, with 88.86% strongly agreeing that it contributed to family income, and 84.57% strongly agreeing that it was a vital source of raw materials for sustenance. The implication of transferring the 544.74-hectare reserve forest to Universitas Brawijaya had a favourable outcome, enhancing the living standards of the communities in the vicinity. The tumpangsari-agroforestry system not only improved socioeconomic conditions but also fostered social interactions, improved infrastructure, and preserved the forest's ecology. It is recommended that the community continue cultivating a variety of crops with guidance from UB Forest management and other stakeholders. Creating national awareness about the benefits of agroforestry in rural poverty reduction is vital, emphasizing the need to explore and adopt diversified livelihood strategies.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».