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In the state of Veracruz, Mexico, lowland and marginal coffee growing regions have been particularly vulnerable since the 1989 coffee crisis. Government programs have promoted production diversification as a strategy to improve local incomes and conserve environmentally beneficial shade-tree coffee agroforests. We present results on land use/ land cover dynamics in the municipality of Zozocolco de Hidalgo from 1973 to 2006. The municipality is recognized for its indigenous population and poverty, and currently, diversification efforts are being implemented. Our study combines remote sensing and GIS analyses, binary logistic regression and econometric modeling, as well as socioeconomic surveys to evaluate land use/land cover change (LULCC) dynamics and explore potential environmental and socioeconomic drivers. Results show that tree cover and coffee agroforests had largely been conserved during the first decade after the coffee crisis. But, recent trends indicate loss of tree cover in coffee agroforests and their conversion mostly to pasture. Land use/land cover drivers are largely explained by spatially explicit environmental variables such as slope and elevation. Relevant socioeconomic variables such as distance to markets and land use profitability were not significantly related to land use changes in Zozocolco. Surveys revealed that many households had converted coffee agroforests to pasture or agriculture in the past decade and others intended on renting or selling their agroforest plots, mostly for conversion to pasture. Diversification programs may not be sufficient to stem deforestation in lowland and marginal coffee growing regions. Moreover, information about locally varying socioeconomic and cultural contexts needs to be strongly considered in order to formulate effective strategies.

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Successful decision-making for environmental management requires evidence of the performance and efficacy of proposed conservation interventions. Projecting the future impacts of prospective conservation

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The shift from net forest loss to gain-forest transition-has been associated variously with economic development, market-driven reforestation, forest policy, and globalization. Evidence shows that governments can expedite forest transition, although economic and institutional failures can distort policy incentives. This study addresses the paucity of spatially explicit empirical research on the robustness of the forest transition hypothesis in a developed country context and identifies factors that may hasten, delay, or even reverse forest transition. We applied spatialeconometric analysis to high-resolution forest cover, climatic, socioeconomic, physiographic, and State-jurisdiction data for the Australian intensive agricultural zone from 1988 to 2014. While environmental and physiographic factors explained the spatial distribution of forests, net forest cover change was significantly associated with trends in farm-output prices inducing deforestation in Queensland, the State with less effective land clearance regulations. Changes in land clearing regulations in Queensland were significantly associated with the national forest cover trends that resulted in forest transition in Australia around 2008. Yet when land clearing regulations and their enforcement were subsequently relaxed in 2012, significant forest cover loss was once again observed in that State, particularly in remnant forests. We conclude that if forest regulatory protection is not effective, net forest loss could resume or increase, even in developed countries, in response to growing incentives for forest conversion to agriculture.

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