The dilemma which remained unsolved using Rao-Stirling diversity, namely of how variety and balance can be combined into "dual concept diversity" (Stirling in SPRU electronic working paper series no. 28. http://www.sussex.ac.uk/Units/spru/publications/imprint/sewps/sewp28/sewp28.pdf, 1998, p. 48f.) can be clarified by using Nijssen et al.'s (Coenoses 13(1):33-38 1998) argument that the Gini coefficient is a perfect indicator of balance. However, the Gini coefficient is not an indicator of variety; this latter term can be operationalized independently as relative variety. The three components of diversity-variety, balance, and disparity-can thus be clearly distinguished and independently operationalized as measures varying between zero and one. The new diversity indicator ranges with more resolving power in the empirical case.
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http://dx.doi.org/10.1007/s11192-018-2810-y | DOI Listing |
Sci Rep
December 2024
Hebei University of Engineering, Handan, 056038, China.
The coordination development of the Water-Energy-Food complex system (WEF CS) is vital to realizing the Sustainable Development Goals of the United Nations. However, the existing research ignores the influence of external environment, and it is not clear which dimension is the key driving mechanism for coordinated development of WEF CS. Herein, it built a theoretical framework of "system unit-nexus-natural environment" WEF CS based on the logical framework of "unit-nexus-external environment", and adopted Dagum Gini coefficient, coupling coordination degree, and grey correlation models to explore the sustainable development ability of water resource, energy resource and food resource of the Yellow River Basin (YRB).
View Article and Find Full Text PDFSci Rep
December 2024
School of Geological Engineering and Geomatics, Chang'an University, Xi'an, 710054, China.
The array of wildfire activities instigated by human endeavors has emerged as a significant source of atmospheric pollution, posing considerable risks to both public health and property safety. This study harnesses Sentinel-2 satellite data, employing a variety of methods including spectral index methods, thresholding, and the Random Forest (RF) model for active fire spot detection. The research encompasses a wide range of land cover types across various Chinese regions.
View Article and Find Full Text PDFHuan Jing Ke Xue
January 2025
School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China.
Exploring the spatial-temporal evolution characteristics of land use carbon emissions and their influencing factors is of great significance for the optimization of land use structure, the formulation of emission reduction policies, and the development of a regional low-carbon economy. Based on land cover and energy consumption data, a multi-parameter land use carbon emission accounting system was constructed to calculate land use carbon emissions in Shandong Province. Moreover, the spatial-temporal evolution and influencing factors of land use carbon emissions were analyzed based on the Gini coefficient and logarithmic mean Divisia index.
View Article and Find Full Text PDFHuan Jing Ke Xue
January 2025
Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
Based on the super-efficiency SBM model with unexpected output, this study calculated the urban carbon emission efficiency in order to study the regional differences and spatial spillover effects of urban carbon emission efficiency in the Yangtze River Delta. From 2001 to 2020, the highest average of urban carbon emission efficiency in the Yangtze River Delta was only 0.698, with a low overall level and a flat "Inverted-U" evolution trend.
View Article and Find Full Text PDFPLoS One
December 2024
School of Economics and Management, Yanshan University, Qinhuangdao, China.
Background: Internet searches offer an indicator of public attention and possible demand for certain things. Studying the spatiotemporal characteristics of the public's concern for vaccination can determine the spatiotemporal distribution of demand for vaccines in China, and capture the changes in the health awareness of the Chinese population, thus informing future vaccination strategies.
Methods: Based on the collection of Baidu search indices for vaccination-related keywords in 363 cities in China, This paper seeks to explore the spatiotemporal changes and regional differences in public attention toward vaccination in China by using the seasonal index, seasonal concentration index, Herfindahl index, Moran index, and Dagum Gini coefficient.
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