Solutions to Deforestationdiscussion and conclusionthe study analyzed national data from 46 tropical and sub-tropical countries (reflecting ~78% of the forest areas, and 81% of forest loss (in 2000–10) of all 100 tropical and sub-tropical countries, see the appendix) on drivers of deforestation and forest degradation that have been provided as part of redd+ readiness documents and activities. agriculture is the main driver of deforestation, but with differences in geographic distribution of the importance of commercial versus subsistence agriculture. although agricultural expansion has been determined as the key driver of deforestation in the tropics (gibbs et al 2010), drivers vary regionally and change over time (rudel et al 2009, boucher et al 2011). the aim was to get as much quantitative information as possible about the relative importance of deforestation and forest degradation drivers as a national fraction (e. study took a multiplicity of theories to provide the basic theoretical framework for analyzing the socio-economic impact of deforestation and eviction on the ogiek community in the mau forest, kenya. the aim of the results presented in table 6 is to estimate the importance of deforestation and degradation drivers, based on currently available data, for all 100 countries and thus to provide a pan-tropical assessment.. connect to downloadget pdfresearch proposal contribution of poverty on environmental degradationdownloadresearch proposal contribution of poverty on environmental degradationuploaded byabdirahman mihileloading previewsorry, preview is currently unavailable.
Topics & Subtopics | Resources for the Futurelooking at the development of deforestation drivers through time (figure 6) the contribution of commercial agriculture increases. commercial agriculture is the most important driver in latin america (68%), while in africa and asia it contributes to around 35% of deforestation. in this letter we provide an assessment of proximate drivers of deforestation and forest degradation by synthesizing empirical data reported by countries as part of their redd+ readiness activities, cifor country profiles, unfccc national communications and scientific literature.. considerations and estimations for countries without driver dataoverall, the patterns of deforestation drivers are quite similar in africa and asia, while degradation patterns are more similar in latin america and asia (figure 5). the theoretical framework indicate that increased deforestation and eviction is likely to result into the following socio-economic impacts: desertification; drought; climate change; loss of fuel, food and medicines; destruction of biodiversity and traditional cultures; increased runoff; impact on economy; loss of soil fertility; soil erosion; violation of human rights; homelessness; insecurity; lack of privacy and increased number of internally displaced persons. aim of this research study was to analyze the socio-economic impact of deforestation and eviction amongst the ogiek community members in the mau forest. the perception of deforestation drivers by african policy makers in light of possible redd+ policy responses.
of co2 emissions from brazilian deforestation to consumers between 1990 and 2010. in this case and to avoid double counting, the land use change (to agriculture) has been identified as the primary cause of deforestation. the drivers are considered separately for deforestation and forest degradation. parties to the united nations framework convention on climate change (unfccc) are developing a mechanism for reducing emissions from deforestation and forest degradation, enhancing forest carbon stocks, sustainable management and conservation of forests (redd+) in developing non-annex i countries (unfccc 2010). the mau forest has in the recent past been on the limelight as a result deforestation that has been taking place in the forest. use patterns and related carbon losses following deforestation in south america. the study also established also established that least causes of deforestation are; small scale farming, grazing or cattle ranching and firewood collection.
five deforestation drivers (table 1) and four forest degradation drivers (table 2) were considered in this study. the study also established also established that least causes of deforestation are; small scale farming, grazing or cattle ranching and firewood collection. the importance of deforestation drivers varies for the different ft phases and for different continents. objectives of this study were to document the patterns of mau forest deforestation specifically in relation to the ogiek habitat, and to evaluate the rationale and implementation of the governments’ wholesale eviction programme, and their implications for the ogiek way of life. the impacts of deforestation in the mau forest has not only been felt in kenya but within the region. socio-economic impact of deforestation and eviction: a study of the ogiek community of the mau forest, kenya.-oriented deforestation in mato grosso: harbinger or exception for other tropical forests?