The widely distributed 2010-2011 World Resources Report: Decision Making in a Changing Climate includes coastal population estimates from SEDAC′s Population Landscape and Climate Estimates (PLACE) data collection. The data includes both the percentage of and a country′s actual population living within 10 kilometers of a coastline, and is based on SEDAC′s Global Rural-Urban Mapping Project (GRUMP) population data set.
Researchers interested in the sustainability of groundwater depletion used SEDAC’s Gridded Population of the World (GPW v3) population count data for 2000 to find that approximately 1.7 billion people inhabit areas impacted by groundwater stress. More than half the people affected live in China and India.
An embedded Google Earth client in an article in Nature News shows the population count living within 75 kilometers of each of the world′s nuclear power plants. Population increases with circle size and color, from green (< 0.5 million) to red (> 20 million). The data and analysis were developed by SEDAC.
A typically higher standard of living in urban areas compared to rural ones does not rule out striking disparities within cities. SEDAC data from its Global Poverty Mapping Project is used as the basis for this map. Map 1.2, illustration for Chapter 1--Density, The World Development Report Online 2009.
SEDAC′s GPWv3 and GRUMPv1, along with MODIS and SRTM data, are used in a paper, “Modelling the Distribution of Chickens, Ducks, and Geese in China,” by D.J. Prosser et al, appearing in Agriculture, Ecosystems & Environment. Global concerns over the emergence of zoonotic pandemics emphasize the need for high-resolution population distribution mapping and spatial modelling. Because of a lack of livestock population distribution data in China, modeling the distribution of poultry is critical to studying emerging zoonotic pandemics. GRUMP population density and urban extents are predictor variables in the model in this paper.
In this blog for the Center Environmental and Security Program (ECSP), CIESIN deputy director Marc Levy talks with ECSP director Geoff Dabelko about using the Gridded Population of the World (GPW) data product to aid in combining population and geographic data.
The SEDAC data set Low-elevation Coastal Zone (LECZ) is the basis for a set of national-level indicators of the total area and population in the LECZ circa 2000. Map 2.2 (page 94), Chapter 2 of the World Development Report 2010, Managing Urban Growth and Flood Risk in a Changing Climate in South and Southeast Asia.
The growth of urban areas has long been considered a local issue, but scientists using SEDAC’s Global Rural-Urban Mapping Project (GRUMP v1) and NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) land cover product have made spatially explicit forecasts of urban land-cover change to show that biodiversity hotspots and carbon pools will be significantly affected by urban population growth. The researchers estimate that by 2030, urban land area around the globe will nearly triple the level in year 2000, resulting in substantial loss of habitats in key biodiversity hotspots.
Data and maps compiled by SEDAC and the Center for Hazards and Risk Research are featured in a front-page news article in the New York Times (print version February 25) assessing the vulnerability of buildings in earthquake zones. “Where Shoddy Construction Could Mean Death” shows a map (top) that depicts the predicted number of deaths in Instanbul from a magnitude 7.5 earthquake, depending on the type of construction of the building. The second map (bottom) ranks the vulnerability of other urban areas in earthquake zones with more than one million people.
A Nature Climate Change article focuses on the milestone of world population passing the seven billion mark and the implications for climate change mitigation and adaptation. Maps featuring SEDAC’s GRUMP data set, describing populations at risk of climate change impacts, are featured on Page 3. The article also features interviews with former SEDAC project scientist Deborah Balk and SEDAC deputy manager Alex de Sherbinin.
Tornadoes account for about one in five natural hazard-related deaths in the United States. This recent study investigated the relationships between tornado casualties (injuries and deaths), storm energy, and population using the NASA SEDAC Gridded Population of the World (GPW) v4 data set. For all tornadoes, investigators found that a doubling of population increased the casualty rate by 21% while a doubling of storm energy increased the casualty rate by 33%. For the strongest storms casualty rates from increases in population and storm energy were even greater. These estimates can be used to project future changes in casualties given known population and storm trends.
SEDAC's Global Rural-Urban Mapping Project (GRUMP) v1 population and urban extent data are used in the International Food Policy Research Institute (IFPRI) interactive mapping application for Sub-Saharan Africa. The application, known as Mappr, is built on IFPRI’s HarvestChoice geospatial database of biophysical and socioeconomic indicators covering four broad research domains: agriculture, agroecology, demographics and markets. Mappr serves as the core to a decision-support system enabling people to visualize relationships between major agroecological challenges, like soil and land degradation, and socioeconomic trends such as poverty, health and nutrition.
A recent survey of African forest elephants has revealed a startling reduction in that animal's population and geographic range over the past decade. Human population density, as measured by SEDAC's Gridded Population of the World (GPW v3) data set, and nearness to human infrastructure, as indicated by SEDAC's Human Influence Index (HII v2), are two of the strongest predictors of that decline along with hunting intensity, poor governance and absence of law enforcement.
Satellite data offer a particularly valuable perspective on PM2—small particles deriving mostly from burning fossil fuels and biomass, which can harm human health—because ground instruments may be unavailable or offer limited information, as is the case in China. With that in mind, researchers at Columbia University’s Earth Institute and Batelle Memorial Institute have developed maps based on satellite data that depict annual PM2.5 exposure in all of China’s provinces.