Comparing and Combining Landsat Satellite Imagery and Participatory Data to Assess Land-Use and Land-Cover Changes in a Coastal Village in Papua New Guinea

Hoover, Jamie D.; Leisz, Stephen J.; Laituri, Melinda

doi:10.1007/s10745-016-9878-x

Cited by 20 publications

(10 citation statements)

References 53 publications

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“…Participatory mapping has also been used to validate remotely sensed land use and land cover change data (e.g. Hoover et al 2017). However, it has rarely been applied to reconstruct dense land use change histories.…”

Section: Introductionmentioning

confidence: 99%

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

Zaehringer

Lundsgaard-Hansen

Thein³

et al. 2020

Ecosystems and People

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Tropical forest landscapes are undergoing vast transformations. Myanmar was long an exception to this trenduntil recent policy reforms put economic development at the forefront. Under ambiguous land rights, commercial agriculture has spread rapidly, causing an unprecedented loss of biodiversity-rich forest. In southeastern Myanmar, where land tenure is highly contested due to several decades of conflict, scientific evidence on these complex social-ecological processes is lacking. In the absence of past satellite data, we applied a participatory mapping approach and co-produced annual land use information with local land users between 1990 and 2017 for two case study landscapes. Results show that both landscapes have undergone a land use regime shift from small-scale farmers' shifting cultivation to plantations of rubber, betel nut, cashew, and oil palm. These changes are likely to have long-term impacts on land users' livelihoods and the environment. We call for a reconsideration of land governance arrangements and concerted land use planning that respects the rights of local land users and strengthens their role as environmental stewards. Applied with careful facilitation, participatory mapping could be an important tool to engage communities in the highly challenging process of transforming land governance to achieve more sustainable outcomes in this post-conflict context.

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Section: Introductionmentioning

confidence: 99%

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

Zaehringer

Lundsgaard-Hansen

Thein³

et al. 2020

Ecosystems and People

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“…The challenges include potentially poor response rate, and variable quality of data available, though the increasing use of software to collate farm management information is improving the range of data that can be collected in some parts of the world. Such surveys can be complemented by more specialist field data collection [33] , and can be combined with externallysourced data including remote sensing [34] . In Europe, the main approach to assess farm performance has been a statutory farm survey to populate the Farm Accountancy Data Network (FADN) [35] , as well as custom surveys (e.g., Carey et al [36] ).…”

Section: Assess Current Performancementioning

confidence: 99%

Towards the sustainable intensification of agriculture—a systems approach to policy formulation

Firbank

2020

Front. Agr. Sci. Eng.

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The sustainable intensification of agriculture involves providing sufficient food and other ecosystem services without going beyond the limits of the earth's system. Here a project management approach is suggested to help guide agricultural policy to deliver these objectives. The first step is to agree measurable outcomes, integrating formal policy goals with the often much less formal and much more diverse goals of individual farmers. The second step is to assess current performance. Ideally, this will involve the use of farm-scale metrics that can feed into process models that address social and environmental domains as well as production issues that can be benchmarked and upscaled to landscape and country. Some policy goals can be delivered by supporting ad hoc interventions, while others require the redesign of the farming system. A pipeline of research, knowledge and capacity building is needed to ensure the continuous increase in farm performance. System models can help prioritise policy interventions. Formal optimization of land use is only appropriate if the policy goals are clear, and the constraints understood. In practice, the best approach may depend on the scale of action that is required, and on the amount of resource and infrastructure available to generate, implement and manage policy.

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“…Indigenous Knowledge Systems can be used to support climate change monitoring [3,8,24,25,28,78] and provide valuable sources of information regarding natural resources and environmental change [14,23,38,[79][80][81]. Studies have compared IKS and physical science to show how the involvement of local people and their understanding and observations can contribute to improved climate change analysis [22,82].…”

Section: Linking Datasetsmentioning

confidence: 99%

Merging Indigenous Knowledge Systems and Station Observations to Estimate the Uncertainty of Precipitation Change in Central Mongolia

et al. 2018

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Across the globe, station-based meteorological data are analyzed to estimate the rate of change in precipitation. However, in sparsely populated regions, like Mongolia, stations are few and far between, leaving significant gaps in station-derived precipitation patterns across space and over time. We combined station data with the observations of herders, who live on the land and observe nature and its changes across the landscape. Station-based trends were computed with the Mann-Kendall significance and Theil-Sen rate of change tests. We surveyed herders about their observations of changes in rain and snowfall amounts, rain intensity, and days with snow, using a closed-ended questionnaire and also recorded their qualitative observations. Herder responses were summarized using the Potential for Conflict Index (PCI 2 ), which computes the mean herder responses and their consensus. For one set of stations in the same forest steppe ecosystem, precipitation trends were similar and decreasing, and the herder-based PCI 2 consensus score matched differences between stations. For the other station set, trends were less consistent and the PCI 2 consensus did not match well, since the stations had different climates and ecologies. Herder and station-based uncertainties were more consistent for the snow variables than the rain variables. The combination of both data sources produced a robust estimate of climate change uncertainty.

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Comparing and Combining Landsat Satellite Imagery and Participatory Data to Assess Land-Use and Land-Cover Changes in a Coastal Village in Papua New Guinea

Cited by 20 publications

References 53 publications

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

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

Towards the sustainable intensification of agriculture—a systems approach to policy formulation

Merging Indigenous Knowledge Systems and Station Observations to Estimate the Uncertainty of Precipitation Change in Central Mongolia

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Comparing and Combining Landsat Satellite Imagery and Participatory Data to Assess Land-Use and Land-Cover Changes in a Coastal Village in Papua New Guinea

Cited by 20 publications

References 53 publications

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

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

Towards the sustainable intensification of agriculture&#8212;a systems approach to policy formulation

Merging Indigenous Knowledge Systems and Station Observations to Estimate the Uncertainty of Precipitation Change in Central Mongolia

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Resources

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Towards the sustainable intensification of agriculture—a systems approach to policy formulation