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Displaying 306 - 310 of 1195Incentives for Carbon Sequestration Using Forest Management
This research uses an econometric model to analyze the factors affecting non-industrial private forest landowners’ choice of intermediate forest management practices, and to examine how these choices might change in response to incentives for carbon sequestration. We also use parameter estimates to simulate the carbon sequestration potential for different combinations of management practices, and compare the effectiveness and costs of carbon sequestration-based and practice-based incentive payment schemes.
Modeling Future Land Use Scenarios in South Korea: Applying the IPCC Special Report on Emissions Scenarios and the SLEUTH Model on a Local Scale
This study developed three scenarios of future land use/land cover on a local level for the Kyung-An River Basin and its vicinity in South Korea at a 30-m resolution based on the two scenario families of the Intergovernmental Panel on Climate Change (IPCC) Special Report Emissions Scenarios (SRES): A2 and B1, as well as a business-as-usual scenario. The IPCC SRES A2 and B1 were used to define future local development patterns and associated land use change.
Vietnam’s Forest Transition in Retrospect: Demonstrating Weaknesses in Business-as-Usual Scenarios for REDD+
One of the prerequisites of the REDD+ mechanism is to effectively predict business-as-usual (BAU) scenarios for change in forest cover. This would enable estimation of how much carbon emission a project could potentially prevent and thus how much carbon credit should be rewarded. However, different factors like forest degradation and the lack of linearity in forest cover transitions challenge the accuracy of such scenarios. Here we predict and validate such BAU scenarios retrospectively based on forest cover changes at village and district level in North Central Vietnam.
Evaluation of statistical gap fillings for continuous energy flux (evapotranspiration) measurements for two different land cover types
Over the past few decades, energy and water fluxes have been directly measured by a global flux network, which was established by regional and continental network sites based on an eddy covariance (EC) method. Although, the EC method possesses many advantages, its typical data coverage could not exceed 65 % due to various environmental factors including micrometeorological conditions and systematic malfunctions. In this study, four different methodologies were used to fill the gap in latent heat flux (LE) data.
Sample-based estimation of “contagion metric” using line intersect sampling method (LIS)
Quantification of landscape pattern is of primary interest in landscape ecological studies. For quantification purposes, a large number of landscape metrics have been developed, with definitions based on measurable patch attributes. Calculation of these metrics is commonly conducted on wall-to-wall maps, whereas a new interest is to use sample data. It is argued that a sample survey takes less time and results are more reliable. The overall objective in this paper was to present the potential of the line interest sampling method for estimating a special contagion metric.