scholarly journals Which Gridded Population Data Product Is Better? Evidences from Mainland Southeast Asia (MSEA)

2021 ◽  
Vol 10 (10) ◽  
pp. 681
Author(s):  
Xu Yin ◽  
Peng Li ◽  
Zhiming Feng ◽  
Yanzhao Yang ◽  
Zhen You ◽  
...  
Keyword(s):  
Population Density ◽  
Population Growth ◽  
Southeast Asia ◽  
Anthropogenic Impacts ◽  
Local Population ◽  
Population Data ◽  
Rapid Population Growth ◽  
Ongoing Research ◽  
New Findings ◽  
Mainland Southeast Asia

The release of global gridded population datasets, including the Gridded Population of the World (GPW), Global Human Settlement Population Grid (GHS-POP), WorldPop, and LandScan, have greatly facilitated cross-comparison for ongoing research related to anthropogenic impacts. However, little attention is paid to the consistency and discrepancy of these gridded products in the regions with rapid changes in local population, e.g., Mainland Southeast Asia (MSEA), where the countries have experienced fast population growth since the 1950s. This awkward situation is unsurprisingly aggravated because of national scarce demographics and incomplete census counts, which further limits their appropriate usage. Thus, comparative analyses of them become the priority of their better application. Here, the consistency and discrepancy of the four common global gridded population datasets were cross-compared by combing the 2015 provincial population statistics (census and yearbooks) via error-comparison based statistical methods. The results showed that: (1) the LandScan performs the best both in spatial accuracy and estimated errors, then followed by the WorldPop, GHS-POP, and GPW in MSEA. (2) Provincial differences in estimated errors indicated that the LandScan better reveals the spatial pattern of population density in Thailand and Vietnam, while the WorldPop performs slightly better in Myanmar and Laos, and both fit well in Cambodia. (3) Substantial errors among the four gridded datasets normally occur in the provincial units with larger population density (over 610 persons/km2) and a rapid population growth rate (greater than 1.54%), respectively. The new findings in MSEA indicated that future usage of these datasets should pay attention to the estimated population in the areas characterized by high population density and rapid population growth.

The Role of Predators and Other Biotic Agents in Regulating the Population Density of Phytophagous Mites in Ontario Peach Orchards

1966 ◽  
Vol 98 (8) ◽  
pp. 808-820 ◽  
Author(s):  
W. L. Putman ◽  
D. H. C. Herne
Keyword(s):  
Population Density ◽  
Population Growth ◽  
Tetranychus Urticae ◽  
Considerable Extent ◽  
Panonychus Ulmi ◽  
Apple Orchards ◽  
Rapid Population Growth ◽  
One Year ◽  
Heavy Mortality

AbstractMore than 40 species of insects and arachnids attack Panonychus ulmi (Koch), Tetranychus urticae Koch, T. canadensis (McGregor), Bryobia arborea Morgan and Anderson, or Aculus cornutus (Banks) in peach orchards of the Niagara Peninsula. The most effective predators attacking P. ulmi are Typhlodromus caudiglans Schuster, Haplothrips faurei Hood, Stethorus punctillum Weise, and Chrysopa spp. Peach orchards lack the predatory mirids characteristic of apple orchards. A condition, presumably disease, caused heavy mortality in one year. Endemic densities of P. ulmi are maintained in that state by predators, chiefly T. caudiglans, that subsist to a considerable extent on other sources of food, whereas epidemics of P. ulmi are reduced largely by other predators, chiefly H. faurei and S. punctillum, that increase in numbers by feeding on the mite during its period of rapid population growth but exert their greatest effect later in the season by destroying the winter eggs.

scholarly journals The Impact of Climate on Southeast Asia, circa 950–1820: New Findings

2012 ◽  
Vol 46 (5) ◽  
pp. 1049-1096 ◽  
Author(s):  
VICTOR LIEBERMAN ◽  
BRENDAN BUCKLEY
Keyword(s):  
Economic Development ◽  
Southeast Asia ◽  
Early Modern ◽  
Tree Ring ◽  
Historical Narrative ◽  
Collaborative Effort ◽  
New Findings ◽  
The Impact ◽  
First Time ◽  
Mainland Southeast Asia

AbstractThe recent discovery of continuous tree-ring series starting as early as 1030 CE has for the first time made possible the reconstruction of historical climates for much of mainland Southeast Asia. Perhaps the most dramatic finding is that wide cyclic fluctuations in the reach and volume of monsoon rains contributed substantially to both the genesis and the collapse of the charter civilizations of Angkor, Pagan, and Dai Viet. Fromcirca1450–1820 climate continued to influence political and economic development, but its impact appears to have diminished both because the amplitude of hydrological fluctuations decreased markedly, and because new sources of power rendered early modern Southeast Asian states more resilient. A pioneering collaborative effort by a historian and a paleoclimatologist, this paper promises three benefits: It can help to solve a variety of local historiographic puzzles, it can facilitate construction of a synchronized historical narrative for mainland Southeast Asia as a whole, and it can aid comparisons between mainland Southeast Asia and other sectors of Eurasia.

PREDATION BY WASPS, BIRDS, AND MAMMALS ON HYPHANTRIA CUNEA

1972 ◽  
Vol 104 (10) ◽  
pp. 1581-1591 ◽  
Author(s):  
R. F. Morris
Keyword(s):  
Population Density ◽  
Population Growth ◽  
Social Wasps ◽  
Rapid Population Growth ◽  
Hyphantria Cunea ◽  
Regulatory Influence

AbstractPredation by birds and social wasps (Vespula spp.) on larval colonies of Hyphantria cunea Drury was studied in both natural and artificial populations, and predation by mammals on overwintering pupae in the ground was studied in artificial populations. The species of predators are listed and some important differences in their habits of attack are described. Per cent predation by birds is directly related to the population density of H. cunea over a range of densities, but inversely related after density exceeds this range. When habitat and weather favor rapid population growth, H. cunea "escapes" from the population range in which predation exerts a regulatory influence.

Population and Society in Twentieth-Century Southeast Asia

1994 ◽  
Vol 25 (2) ◽  
pp. 381-416 ◽  
Author(s):  
Charles Hirschman
Keyword(s):  
Twentieth Century ◽  
Population Growth ◽  
Southeast Asia ◽  
Southeast Asian ◽  
First Century ◽  
Rapid Decline ◽  
Rapid Population Growth ◽  
Early Twentieth Century ◽  
Late Nineteenth ◽  
Twenty First Century

Over the course of the twentieth century, Southeast Asia's population will have grown from 80 to 530 million. Much of this extraordinary growth is due to the very rapid decline in mortality over the second half of the century, but the socioeconomic and political attributes of late nineteenth- and early twentieth-century Southeast Asian societies also contributed to rapid population growth, especially in the settlement of frontier rice-growing regions. Although fertility transitions are underway in almost every country in the region, the population of the region will probably double in size before growth ceases sometime in the middle of the twenty-first century.

scholarly journals Rapid Population Growth in Chinese Floodplains from 1990 to 2015

2018 ◽  
Vol 15 (8) ◽  
pp. 1602 ◽  
Author(s):  
Yongqiang Fang ◽  
Shiqiang Du ◽  
Paolo Scussolini ◽  
Jiahong Wen ◽  
Chunyang He ◽  
...  
Keyword(s):  
Climate Change ◽  
Population Density ◽  
Population Growth ◽  
Flood Risk ◽  
Socioeconomic Development ◽  
Total Population ◽  
Spatiotemporal Pattern ◽  
Rapid Population Growth ◽  
Over Time

Although China suffers from frequent and disastrous floods, the spatiotemporal pattern of its population living in the floodplain (PopF) is still unknown. This strongly limits our understanding of flood risk and the effectiveness of mitigation efforts. Here we present the first quantification of Chinese PopF and its dynamics, based on newly-available population datasets for years 1990, 2000, 2010, and 2015 and on a flood map. We found that the PopF in 2015 was 453.3 million and accounted for 33.0% of the total population, with a population density 3.6 times higher than outside floodplains. From 1990 to 2015, the PopF increased by 1.3% annually, overwhelmingly faster than elsewhere (0.5%). A rising proportion (from 53.2% in 1990 to 55.6% in 2015) of the PopF resided in flood zones deeper than 2 m. Moreover, the PopF is expected to increase rapidly in the coming decades. We also found the effect of flood memory on controlling PopF growth and its decay over time. These findings imply an exacerbating flood risk in China, which is concerning in the light of climate change and rapid socioeconomic development.

scholarly journals Population priorities: the challenge of continued rapid population growth

2009 ◽  
Vol 364 (1532) ◽  
pp. 2977-2984 ◽  
Author(s):  
Adair Turner
Keyword(s):  
Nineteenth Century ◽  
Population Density ◽  
Population Growth ◽  
Economic Performance ◽  
Developed Countries ◽  
Modern World ◽  
World Population ◽  
High Fertility ◽  
Rapid Population Growth ◽  
Per Capita

Rapid population growth continues in the least developed countries. The revisionist case that rapid population could be overcome by technology, that population density was advantageous, that capital shallowing is not a vital concern and that empirical investigations had not proved a correlation between high population growth and low per capita income was both empirically and theoretically flawed. In the modern world, population density does not play the role it did in nineteenth-century Europe and rates of growth in some of today's least developed nations are four times than those in nineteenth-century Europe, and without major accumulation of capital per capita , no major economy has or is likely to make the low- to middle-income transition. Though not sufficient, capital accumulation for growth is absolutely essential to economic growth. While there are good reasons for objecting to the enforced nature of the Chinese one-child policy, we should not underestimate the positive impact which that policy has almost certainly had and will have over the next several decades on Chinese economic performance. And a valid reticence about telling developing countries that they must contain fertility should not lead us to underestimate the severely adverse impact of high fertility rates on the economic performance and prospects of many countries in Africa and the Middle East.

scholarly journals Local Population Mapping Using a Random Forest Model Based on Remote and Social Sensing Data: A Case Study in Zhengzhou, China

2020 ◽  
Vol 12 (10) ◽  
pp. 1618
Author(s):  
Ge Qiu ◽  
Yuhai Bao ◽  
Xuchao Yang ◽  
Chen Wang ◽  
Tingting Ye ◽  
...  
Keyword(s):  
Random Forest ◽  
Population Density ◽  
Urban Areas ◽  
Local Population ◽  
Population Data ◽  
Field Work ◽  
Local Planning ◽  
Statistical Tool ◽  
Social Sensing ◽  
Sensing Data

High-resolution gridded population data are important for understanding and responding to many socioeconomic and environmental problems. Local estimates of the population allow officials and researchers to make a better local planning (e.g., optimizing public services and facilities). This study used a random forest algorithm, on the basis of remote sensing (i.e., satellite imagery) and social sensing data (i.e., point-of-interest and building footprint), to disaggregate census population data for the five municipal districts of Zhengzhou city, China, onto 100 × 100 m grid cells. We used a statistical tool to detect areas with an abnormal population density; e.g., areas containing many empty houses or houses rented by more people than allowed, and conducted field work to validate our findings. Results showed that some categories of points-of-interest, such as residential communities, parking lots, banks, and government buildings were the most important contributing elements in modeling the spatial distribution of the residential population in Zhengzhou City. The exclusion of areas with an abnormal population density from model training and dasymetric mapping increased the accuracy of population estimates in other areas with a more common population density. We compared our product with three widely used gridded population products: Worldpop, the Gridded Population of the World, and the 1-km Grid Population Dataset of China. The relative accuracy of our modeling approach was higher than that of those three products in the five municipal districts of Zhengzhou. This study demonstrated potential for the combination of remote and social sensing data to more accurately estimate the population density in urban areas, with minimum disturbance from the abnormal population density.

scholarly journals The Effect of Urbanization on Temperature Trend in Some Regions across Vietnam during the Past Decade

2020 ◽  
Vol 11 (9) ◽  
pp. 419-424
Author(s):  
Ha Thi Thu Pham ◽  
◽  
Toan Kim Tran
Keyword(s):  
Population Growth ◽  
Urban Areas ◽  
Local Population ◽  
Population Data ◽  
Temperature Data ◽  
Temperature Trend ◽  
Urbanization Effect ◽  
The Past ◽  
Temperature Trends ◽  
Temperature Maps

Throughout time and history, urbanization has proven itself to be a significant impact on climate in urban areas. In this study, we investigate urbanization effect on temperature trends in several regions across Vietnam based on statistical relationship between these trends and local population growth as well as the change in the annual mean temperature in the past decade by applying statistical analysis to the results. Population data from 2008-2018 and the temperature data from 1988-2018 were obtained from the Annual Abstracts of Statistics and the Institute of Hydrology and Meteorology Science and Climate Change, respectively. Although most of our findings indicate a very small correlation between temperature rise and local population growth, there were exceptions with reasonable values. The results suggest that urbanization contributes to the change in temperature trend of different regions. The type of region (based on its population) also determines if the change in temperature is positively or negatively correlated with the population growth. Furthermore, by using ArcMap, we also constructed several surface temperature maps in the past few decades in order to gain further insights into how temperature changed with time.

scholarly journals Population as a Proxy for Infrastructure in the Determination of Event Response and Recovery Resource Allocations

2016 ◽  
Vol 13 (1) ◽  
Author(s):  
Kevin L. Stamber ◽  
Carl J. Unis ◽  
Donald N. Shirah ◽  
Jessica A. Gibson ◽  
William E. Fogleman ◽  
...  
Keyword(s):  
Social Sciences ◽  
Population Density ◽  
Transmission Lines ◽  
Power Transmission ◽  
Critical Infrastructure ◽  
Population Data ◽  
Power Transmission Lines ◽  
Ongoing Research ◽  
Country Level ◽  
The Social

AbstractResearch into modeling of the quantification and prioritization of resources used in the recovery of lifeline critical infrastructure following disruptive incidents, such as hurricanes and earthquakes, has shown several factors to be important. Among these are population density and infrastructure density, event effects on infrastructure, and existence of an emergency response plan. The social sciences literature has a long history of correlating the population density and infrastructure density at a national scale, at a country-to-country level, mainly focused on transportation networks. This effort examines whether these correlations can be repeated at smaller geographic scales, for a variety of infrastructure types, so as to be able to use population data as a proxy for infrastructure data where infrastructure data is either incomplete or insufficiently granular. Using the best data available, this effort shows that strong correlations between infrastructure density for multiple types of infrastructure (e.g. miles of roads, hospital beds, miles of electric power transmission lines, and number of petroleum terminals) and population density do exist at known geographic boundaries (e.g. counties, service area boundaries) with exceptions that are explainable within the social sciences literature. The correlations identified provide a useful basis for ongoing research into the larger resource utilization problem.

scholarly journals How Does Administrative Data Compare with Census Data for the Measurement of Internal Migration? The Case of Northern Ireland, 2001–2011

2021 ◽  
Author(s):  
Brian Foley ◽  
Tony Champion ◽  
Ian Shuttleworth
Keyword(s):  
Administrative Data ◽  
Internal Migration ◽  
Census Data ◽  
Local Population ◽  
Population Data ◽  
Population Estimates ◽  
Demographic Groups ◽  
Small Areas ◽  
Intercensal Period ◽  
Statistical Agencies

AbstractThe paper compares and contrasts internal migration measured by healthcard-based administrative data with census figures. This is useful because the collection of population data, its processing, and its dissemination by statistical agencies is becoming more reliant on administrative data. Statistical agencies already use healthcard data to make migration estimates and are increasingly confident about local population estimates from administrative sources. This analysis goes further than this work as it assesses how far healthcard data can produce reliable data products of the kind to which academics are accustomed. It does this by examining migration events versus transitions over a full intercensal period; population flows into and out of small areas; and the extent to which it produces microdata on migration equivalent to that in the census. It is shown that for most demographic groups and places healthcard data is an adequate substitute for census-based migration counts, the exceptions being for student households and younger people. However, census-like information is still needed to provide covariates for analysis and this will still be required whatever the future of the traditional census.

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