Resources
Displaying 1331 - 1335 of 2258Performance of the Remotely-Derived Products in Monitoring Gross Primary Production across Arid and Semi-Arid Ecosystems in Northwest China
As an important component to quantify the carbon budget, accurate evaluation of terrestrial gross primary production (GPP) is crucial for large-scale applications, especially in dryland ecosystems. Based on the in situ data from six flux sites in northwestern China from 2014 to 2016, this study compares seasonal and interannual dynamics of carbon fluxes between these arid and semi-arid ecosystems and the atmosphere.
Adaptation to Land Degradation in Southeast Vietnam
A framework was developed to elucidate (1) the drivers of land degradation, (2) pressures, (3) local impacts and vulnerabilities and (4) adaptation strategies. The combination of participatory approaches, statistical data analysis, time series Landsat imagery and spatial data mining was tested in southeast Vietnam where the impacts of land degradation on the environment and economy are considerable. The major drivers of land degradation are climate, notably drought, and population density. The pressures include natural resource management and land use/cover change.
Environmental Pollution Control and Sustainability Management of Slum Settlements in Makassar City, South Sulawesi, Indonesia
The complexity of spatial use has an impact on poverty and the development of slum settlements towards a decrease in environmental quality.
Hybrid Decision-Making Evaluation for Future Scenarios of Cultural Ecosystem Services
In the face of rapid urbanization and globalization, the continual loss of rural landscapes is occurring globally because of declining rural industries, abandoned farmlands and aging local populations. These problems highlight the versatility and diverse values of cultural ecosystem services (CES) to provide feasible responses for rural landscapes.
A Review of Driving Factors, Scenarios, and Topics in Urban Land Change Models
Due to the increase in future uncertainty caused by rapid environmental, societal, and technological change, exploring multiple scenarios has become increasingly important in urban planning. Land Change Modeling (LCM) enables planners to have the ability to mold uncertain future land changes into more determined conditions via scenarios. This paper reviews the literature on urban LCM and identifies driving factors, scenario themes/types, and topics.