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      The cash crop boom in southern Myanmar: tracing land use regime shifts through participatory mapping

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          Classifying drivers of global forest loss

          Global maps of forest loss depict the scale and magnitude of forest disturbance, yet companies, governments, and nongovernmental organizations need to distinguish permanent conversion (i.e., deforestation) from temporary loss from forestry or wildfire. Using satellite imagery, we developed a forest loss classification model to determine a spatial attribution of forest disturbance to the dominant drivers of land cover and land use change over the period 2001 to 2015. Our results indicate that 27% of global forest loss can be attributed to deforestation through permanent land use change for commodity production. The remaining areas maintained the same land use over 15 years; in those areas, loss was attributed to forestry (26%), shifting agriculture (24%), and wildfire (23%). Despite corporate commitments, the rate of commodity-driven deforestation has not declined. To end deforestation, companies must eliminate 5 million hectares of conversion from supply chains each year.
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            Participatory Mapping and Geographic Information Systems: Whose Map? Who is Empowered and Who Disempowered? Who Gains and Who Loses?

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              Effects of Landscape Segregation on Livelihood Vulnerability: Moving From Extensive Shifting Cultivation to Rotational Agriculture and Natural Forests in Northern Laos

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                Author and article information

                Contributors
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                Journal
                Ecosystems and People
                Ecosystems and People
                Informa UK Limited
                2639-5908
                2639-5916
                January 01 2020
                January 08 2020
                January 01 2020
                : 16
                : 1
                : 36-49
                Affiliations
                [1 ]Centre for Development and Environment, University of Bern, Bern, Switzerland
                [2 ]Institute of Geography, University of Bern, Bern, Switzerland
                [3 ]Centre for Development and Environment, University of Bern, Myanmar Country Office, Yangon, Myanmar
                [4 ]Environmental Care and Community Security Institute, Yangon, Myanmar
                Article
                10.1080/26395916.2019.1699164
                739aaf82-e97d-414b-89d3-842fb26e1eed
                © 2020

                http://creativecommons.org/licenses/by/4.0/

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