Analyzing the perception of deforestation drivers by African policy makers in light of possible REDD+ policy responses

Wehkamp, Johanna; Aquino, Andre Rodrigues De; Fuss, Sabine; Reed, Erik

doi:10.1016/j.forpol.2015.05.005

Cited by 27 publications

(25 citation statements)

References 69 publications

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“…These processes act at various scales i.e. international (global forest products market growth, commercialization and urbanization), national (changing population, growing local markets and national legislation and governance) and local conditions (livelihoods and levels of poverty) (Wehkamp et al 2015, FAO 2007, Daly and Farley 2004, Czech 2013. Kessy et al (2016) for instance notes that local and international demand for timber and agricultural commodities in a globalizing world are major drivers to forest fragmentation in the area.…”

Section: Drivers To Habitat Fragmentation and Conservation Implicationsmentioning

confidence: 99%

Analysing fragmentation in vulnerable biodiversity hotspots in Tanzania from 1975 to 2012 using remote sensing and fragstats

Ojoyi¹,

Odindi²,

Mutanga³

et al. 2016

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Habitat fragmentation is a threat to conservation of biodiversity hotspots in the Morogoro region, Tanzania. However, on-going research on fragmentation has not kept pace with temporal lapses and how individual species respond to habitat transformation and heterogeneity. This study sought to model spatial and temporal fragmentation patterns. Cloud free multi-temporal Landsat imagery with similar spectral resolution were acquired in the same season in 1975, 1995 and 2012. The images were used to characterize the biophysical landscape characteristics and a range of metrics used to quantify the magnitude of fragmentation. Patches and classes in the landscape were assessed using Fragstats, a spatial statistics program useful in computing landscape metrics. Results show that patch number was higher in dense forest and woodland than in less dense forest and grassland in 1975, 1995 and 2012 while the interspersion Juxtaposition Index (IJI) ranged between 0 (for clumped patches) and 100 (for grassland). In 1975 and 1995, the grassland habitat had the highest IJI while in 2012 less dense forest had the highest IJI. The GamesHowell test showed a significant fragmentation trend in less dense forests class (p≤0.05). Generally, the study indicates a high fragmentation pattern in the vulnerable tropical eastern arc mountain region of East Africa. This finding demonstrates the value of remotely sensed data in understanding the impact of anthropogenic processes on natural landscape transformation. Furthermore, the study provides a basis for informed conservation policy design and implementation in the region. RESEARCH ARTICLE Launched to accelerate biodiversity conservationA peer-reviewed open-access journal M.M. Ojoyi et al. / Nature Conservation 16: 19-37 (2016) 20

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Section: Drivers To Habitat Fragmentation and Conservation Implicationsmentioning

confidence: 99%

Analysing fragmentation in vulnerable biodiversity hotspots in Tanzania from 1975 to 2012 using remote sensing and fragstats

Ojoyi¹,

Odindi²,

Mutanga³

et al. 2016

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“…Minang et al (2014a); Ghazoul et al (2010) report many instances of poor stakeholder engagements in national REDD+ processes. Other studies also reveal that national policies, especially those outside of the forestry sector, are key drivers of deforestation in many developing countries (Wehkamp et al, 2015;Brown and Bird, 2008 …”

Section: Mvrmentioning

confidence: 99%

Implementing REDD+ at the national level: Stakeholder engagement and policy coherences between REDD+ rules and Kenya's sectoral policies

Atela

Quinn

Minang

et al. 2016

Forest Policy and Economics

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Effective implementation of rules on reduced emission from avoided deforestation and forest degradation (REDD+) depends on the compatibility between these rules and existing sectoral policies associated with forests. This paper applies content analysis of policy documents, semi-structured interviews and case study analysis to examine the interplay between REDD+ rules and Kenyan sectorial policies and local socioeconomic

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“…This translation from data into categories is defined as coding (Fabra-Crespo and Rojas-Briales 2015) Qualitative content analysis has been widely used in forest policy analysis. Some recent examples of qualitative content analysis in forest policy analysis are studies on media reporting about forest issues as well as biodiversity (Sadath et al 2013, Fabra-Crespo andRojas-Briales 2015), studies on REDD+ and drivers of deforestation (Wehkamp et al 2015, Fischer et al 2016) and studies on the implementation of the international forest regime (Wibowo andGiessen 2015, Sahide et al 2015;.…”

Section: Qualitative Content Analysismentioning

confidence: 99%

International Forest Policy by International and Transnational Organizations

Burns¹

2016

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Analyzing the perception of deforestation drivers by African policy makers in light of possible REDD+ policy responses

Cited by 27 publications

References 69 publications

Analysing fragmentation in vulnerable biodiversity hotspots in Tanzania from 1975 to 2012 using remote sensing and fragstats

Analysing fragmentation in vulnerable biodiversity hotspots in Tanzania from 1975 to 2012 using remote sensing and fragstats

Implementing REDD+ at the national level: Stakeholder engagement and policy coherences between REDD+ rules and Kenya's sectoral policies

International Forest Policy by International and Transnational Organizations

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