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Displaying 306 - 310 of 1195Vietnam’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.
Incentives 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.
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.
Frequent fire protects shortleaf pine (Pinus echinata) from introgression by loblolly pine (P. taeda)
Across much of the globe, fire is a major disturbance agent of forest and grassland communities. The removal of fire from previously fire-maintained ecosystems, which has occurred in many areas, changes species composition, favoring later less fire tolerant species over fire-adapted ones. A recent measured increase in the rate of hybridization between the fire-adapted shortleaf pine (Pinus echinata) and less fire-adapted loblolly pine (P. taeda) suggests that introgression may be an emerging threat to shortleaf pine as a genetically distinct species.