Factors controlling patterns of deforestation in moist evergreen Afromontane forests of Southwest Ethiopia

Getahun, Kefelegn; Rompaey, Anton Van; Turnhout, Pieter Van; Poesen, Jean

doi:10.1016/j.foreco.2013.05.001

Cited by 65 publications

(50 citation statements)

References 31 publications

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“…In contrast to natural forests, proximity to cities has been found to increase the presence of shade-grown coffee in Mexico (Blackman 2008) and El Salvador (Blackman 2012) and green space for urban residents in China (Gong 2013). Getahun (2013) found that regions in Ethiopia that are more integrated with cities are less reliant on clearing for subsistence agriculture as they have more economic alternatives. And while the literature is in agreement that new roads in remote forested areas lead to deforestation, debate has persisted as to whether road improvement in regions with substantial prior clearing can attract development away from other regions with more forest remaining.…”

Section: Resultsmentioning

confidence: 99%

What Drives Deforestation and What Stops it? A Meta-Analysis of Spatially Explicit Econometric Studies

Ferretti-Gallon

Busch

2014

SSRN Journal

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We have constructed a comprehensive database of 117 spatially explicit econometric studies of deforestation published in peer-reviewed academic journals from 1996-2013. We present a metaanalysis of what drives deforestation and what stops it, based on the signs and significance of 5909 coefficients in 554 multivariate analyses. We find that forests are more likely to be cleared where economic returns to agriculture and pasture are higher, either due to more favorable climatological and topographic conditions, or due to lower costs of clearing forest and transporting products to market. Timber activity, land tenure security, and community demographics do not show a consistent association with either higher or lower deforestation. Population is consistently associated with greater deforestation, and poverty is consistently associated with lower deforestation, but in both cases endogeneity makes a causal link difficult to infer. Promising approaches for stopping deforestation include reducing the intrusion of road networks into remote forested areas; targeting protected areas to regions where forests face higher threat; tying rural income support to the maintenance of forest resources through payments for ecosystem services; and insulating the forest frontier from the price effects of demand for agricultural commodities.JEL Codes: Q15,Q23,Q24

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Section: Resultsmentioning

confidence: 99%

What Drives Deforestation and What Stops it? A Meta-Analysis of Spatially Explicit Econometric Studies

Ferretti-Gallon

Busch

2014

SSRN Journal

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“…The dominant soil type found in both areas is Nitisol. Between 1984 and 2007 the local average population density increased by 55% to 317 inhabitants km À2 and it keeps growing exponentially (CSA, 2007;Getahun et al, 2013).…”

Section: Study Sitementioning

confidence: 99%

“…In the last century a continuous forest degradation and deforestation took place in the landscape around Jimma, mainly due to agricultural expansion (Getahun et al, 2013;Reusing, 2000). The 8% of SW Ethiopia's area covered by remaining forest nevertheless harbours 95% of the total nation's high forests (WBISPP, 2004).…”

Section: Study Sitementioning

confidence: 99%

REALU vs. REDD+: Carbon and biodiversity in the Afromontane landscapes of SW Ethiopia

Vanderhaegen

Verbist

Hundera

et al. 2015

Forest Ecology and Management

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“…This restriction is a result of poor road infrastructure or a lack of transportation means. A recent study in Southwestern Ethiopia has shown that most forest change occurs in remote locations far from urban areas [53], suggesting that much of these changes could not be fully captured by local experts alone. This mobility barrier could be overcome by engaging local communities who live near the forest areas of interest.…”

Section: Local Expert-based Forest Monitoring Systemmentioning

confidence: 99%

Combining Satellite Data and Community-Based Observations for Forest Monitoring

Pratihast

DeVries

Avitabile

et al. 2014

Forests

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Within the Reducing Emissions from Deforestation and Degradation (REDD+) framework, the involvement of local communities in national forest monitoring activities has the potential to enhance monitoring efficiency at lower costs while simultaneously promoting transparency and better forest management. We assessed the consistency of forest monitoring data (mostly activity data related to forest change) collected by local experts in the UNESCO Kafa Biosphere Reserve, Ethiopia. Professional ground measurements and high resolution satellite images were used as validation data to assess over 700 forest change observations collected by the local experts. Furthermore, we examined the complementary use of local datasets and remote sensing by assessing spatial, temporal and thematic data quality factors. Based on this complementarity, we propose a framework to integrate local expert monitoring data with satellite-based monitoring data into a National Forest Monitoring System (NFMS) in support of REDD+ Measuring, Reporting and Verifying (MRV) and near real-time forest change monitoring. OPEN ACCESSForests 2014, 5 2465

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Factors controlling patterns of deforestation in moist evergreen Afromontane forests of Southwest Ethiopia

Cited by 65 publications

References 31 publications

What Drives Deforestation and What Stops it? A Meta-Analysis of Spatially Explicit Econometric Studies

What Drives Deforestation and What Stops it? A Meta-Analysis of Spatially Explicit Econometric Studies

REALU vs. REDD+: Carbon and biodiversity in the Afromontane landscapes of SW Ethiopia

Combining Satellite Data and Community-Based Observations for Forest Monitoring

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