Economic Crisis, Small Farmer Well-Being, and Forest Cover Change in Indonesia

Sunderlin, W.D.; Angelsen, Arild; I.A.P., Resosudarmo.; Dermawan, Ahmad; Rianto, Edy

doi:10.1016/s0305-750x(01)00009-2

Cited by 60 publications

(31 citation statements)

References 4 publications

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“…During the years of the financial crisis, the high prices boosted the local economy in the Krui area. In line with Sunderlin et al (2001), we assume that most of the expansion of short-term perennials (STP) in the Krui area that we recorded between 1995 and 2004 took place as a reaction to the high prices-possibly facilitated by the relaxation of encroachment control after the fall of Suharto. Small farmers decided to clear land for coffee and pepper cultivation, following the example of fellow villagers who were suddenly earning very high incomes.…”

Section: Discussionsupporting

confidence: 55%

Will Agroforests Vanish? The Case of Damar Agroforests in Indonesia

et al. 2008

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Resin producing agroforestry in the Krui area of Sumatra in Indonesia is presented as an environmentally friendly, income generating land-use system which contributes to both development and conservation objectives. We studied the change in household income portfolios in three communities in the Krui area. The studies revealed that in the period 1995-2004 agroforestry remained the main source of income. We predict, however, that due to declining resin productivity per hectare, and rising price and demand for timber, an increasing number of farmers will cut their mature agroforests in the near future. At the same time our data suggests that farmers will continue tree planting activities. In result old agroforests may vanish while new ones will be established.

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Section: Discussionsupporting

confidence: 55%

Will Agroforests Vanish? The Case of Damar Agroforests in Indonesia

et al. 2008

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“…However, poor people in rural areas, which did not have US money at their disposal, probably opted to increase subsistence agriculture or to expand their property as a security measure. In other tropical countries like Cameroon and Indonesia, it was found that economic crises motivated farmers to clear land [123] to, among other reasons, increase income security [124], particularly due to the rising prices of milk.…”

Section: Socioeconomic and Political Factorsmentioning

confidence: 99%

Land Cover Change in the Andes of Southern Ecuador—Patterns and Drivers

et al. 2015

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Abstract:In the megadiverse tropical mountain forest in the Andes of southern Ecuador, a global biodiversity hotspot, the use of fire to clear land for cattle ranching is leading to the invasion of an aggressive weed, the bracken fern, which is threatening diversity and the provisioning of ecosystem services. To find sustainable land use options adapted to the local situation, a profound knowledge of the long-term spatiotemporal patterns of land cover change and its drivers is necessary, but hitherto lacking. The complex topography and the high cloud frequency make the use of remote sensing in this area a challenge. To deal with these conditions, we pursued specific pre-processing steps before classifying five Landsat scenes from 1975 to 2001. Then, we quantified land cover changes and habitat fragmentation, and we investigated landscape changes in relation to key spatial elements (altitude, slope, and distance from roads). Good classification results were obtained with overall accuracies ranging from 94.5% to 98.5% and Kappa statistics between 0.75 and 0.98. Forest was OPEN ACCESSRemote Sens. 2015, 7 2510 strongly fragmented due to the rapid expansion of the arable frontier and the even more rapid invasion by bracken. Unexpectedly, more bracken-infested areas were converted to pastures than vice versa, a practice that could alleviate pressure on forests if promoted. Road proximity was the most important spatial element determining forest loss, while for bracken the altitudinal range conditioned the degree of invasion in deforested areas. The annual deforestation rate changed notably between periods: ~1.5% from 1975 to 1987, ~0.8% from 1987 to 2000, and finally a very high rate of ~7.5% between 2000 and 2001. We explained these inconstant rates through some specific interrelated local and national political and socioeconomic drivers, namely land use policies, credit and tenure incentives, demography, and in particular, a severe national economic and bank crisis.

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“…Under these conditions, pertinent non-market/noneconomic factors including, environmental conditions and societal decision making systems are not often considered (Owusu, 2008). In furtherance of this view, Sunderlin et al, (2001), on resource management and other social network interests and rational economic decisions that would inure to the short to medium term benefit of the households are taken by the household decision agents. These decisions, are in most cases deemed utilitarian; in the collective interest of the household in response to social and economic changes/stresses that affects the livelihoods of the household (Afriyie, Abass & Adomako, 2013).…”

Section: Problem and Backgroundmentioning

confidence: 99%

Determinants of Peri-Urbanization and Land Use Change Patterns in Peri-Urban Ghana

Appiah

Bugri

Forkuo

et al. 2014

JSD

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The main aim of this paper is to examine the effects of peri-urbanization on peri-urban land use change patterns, using a binary logistic regression model, in the Bosomtwe district of the Asante region, Ghana. The decision to convert from agricultural land uses to residential and commercial land uses are driven by a myriad of factors, ranging from social to economic in the Bosomtwe District. A triangulation of qualitative and quantitative design was used. Household questionnaires were proportionately administered to 270 respondents in 14 communities, on the basis of population. The data was subjected to the Pearson's Chi-square, Nigelkerk R 2 and Cramer's V test of strength of association. Astep-wise binary logistic regression modeling was performed using the PASW v.17. Pearson chi-square value of χ 2 = 73.546 at 26 degrees was significant at p< .000,athough the Cramer's V test of the strength of the association was moderate at V = 0.37. The logistic regression model reported an overall significance of the model at p< .000 with χ 2 = 24.453, at 4 degrees of freedom. The confidence intervals of (CIs) of (CI: 1.358-4.517) and (CI: 1.039-11.486) for the two main predictors of the outcome, and a B(Exp) values ranging between 2.477 and 3.455 were also reported. This means the odds of respondents being more likely to change their land uses is about 66%. Increasing rate of peri-urbanization is caused by increasing demand for residential, recreational (Hotels and Guest houses) and commercial land uses at the expense of agro-forest land uses. These have some negative implications on local climate and food security. The District assembly should strictly monitor physical development in line with planning schemes.

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Economic Crisis, Small Farmer Well-Being, and Forest Cover Change in Indonesia

Cited by 60 publications

References 4 publications

Will Agroforests Vanish? The Case of Damar Agroforests in Indonesia

Will Agroforests Vanish? The Case of Damar Agroforests in Indonesia

Land Cover Change in the Andes of Southern Ecuador—Patterns and Drivers

Determinants of Peri-Urbanization and Land Use Change Patterns in Peri-Urban Ghana

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