Describing Inequality in Plant Size or Fecundity

Damgaard, Christian; Weiner, Jacob

doi:10.2307/177185

Cited by 78 publications

(115 citation statements)

References 11 publications

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“…We used a Gini Coefficient measure of concentration of the human population in each country (Klein 2002), with index values ranging from 0 (a uniformly dispersed population) to 1 (all population congregated at a single location). The index was computed by superimposing a world political map on a LandScan 2002 map (http://www.ornl.gov/ gist/landscan/index.html) to create a gridded population distribution map for each country, based on census count distributions to cells determined by proximity to roads, land cover, slope, and night time lights, then aggregating across cells within a country (Environmental System Research Institute 2002;Damgaared and Weiner 2000;Dixon et al 1987).…”

Section: ð2þmentioning

confidence: 99%

Threatened species and the spatial concentration of humans

Pandit

Laband

2006

Biodivers Conserv

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Public policies that encourage high-density human living arrangements have been predicated explicitly on the assumption that certain spatial distributions of a fixed-size human population are less environmentally damaging than others. We examine the empirical validity of this assumption across 127 countries by analyzing whether the concentration of human presence in each country is related statistically to the percentage of species that were on the IUCN Red List in 2004. Our findings indicate that concentration of the human population is associated with reduced imperilment among amphibians but increased imperilment among reptiles, and birds.

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Section: ð2þmentioning

confidence: 99%

Threatened species and the spatial concentration of humans

Pandit

Laband

2006

Biodivers Conserv

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“… Gini coefficient of regional specialization (Damgaard and Weiner, 2000;Falcioğlu and Akgüngör, 2008;Traistaru et al,2002):…”

Section: Scientific Aspects Of Assessment Of Regional Concentration Amentioning

confidence: 99%

Scientific Aspects of Spatial Economic Allocation of Entrepreneurial Activities

Štaube

Geipele

2017

Baltic Journal of Real Estate Economics and Construction Management

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Abstract. The paper includes results of economic calculation until 2020 regarding adaptations of the algorithm model of forecasting supply of spatial economic objects for planning the development of the Latvian high-end industrial market space. Scientific discussion concerns the average temperature increase as a determinant ratio and the definition of spatial economics developed by the authors The research focuses on the changes in climatic conditions, which may have an impact on the country's economic development priorities. The paper also reflects on assessment of regional specialization of the leading entrepreneurial activities in Latvia and the Baltic States. It is mainly based on the empirical study of scientific literature. The authors apply the following methods: decision-making, analysis of primary and secondary sources, the Gini coefficient of Regional Specialization, the Gini coefficient of Geographical Concentration, logical approach and comparisons, systems and dynamic factor analysis, expert analysis, mathematical statistical methods. Main conclusions state that Latvia would continue regional development, maintain division of industrial capacities and decrease of Riga's industrial agglomeration. Agriculture will develop intensively. Increase in high-class industrial property stock is partly conditioned by the high-quality manufacturing needs, as well as logistics and service needs. The calculated level of that stock is 772,300 sq.m until 2020. In fact, Latvia demonstrates low regional specialization rates for agriculture and manufacturing. The authors stress importance of development of the appropriate infrastructure in creating competitive local business environment in the Latvian cities.

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“…A is the area enclosed by the line of absolute equality and the Lorenz curve, and B is the area enclosed by the Lorenz curve and the lines of absolute inequality. (b) Three cases of the Lorenz curve (modified from Damgaard & Weiner, 2000): (1) S = 1, the point where the Lorenz curve is parallel with the line of equality lies on the axis of symmetry, showing that the Lorenz curve is symmetrical; (2) S < 1, the point where the Lorenz curve is parallel with the line of equality is below the axis of symmetry; and (3) S > 1, the point where the Lorenz curve is parallel with the line of equality is above the axis of symmetry. In the two latter cases, the Lorenz curve is asymmetrical.…”

Section: Genetic Mating and Experimental Designmentioning

confidence: 99%

“…Recently, Damgaard and Weiner (2000) proposed the Lorenz asymmetry coefficient to characterize the symmetrical property of the Lorenz curve, and determine which size class contributes most to the inequality (Figure 1b). In this study, we used both the Gini and Lorenz asymmetry coefficients to compare temporal changes in the inequality of early growth of Chinese fir in a diallel cross experiment.…”

mentioning

confidence: 99%

Temporal Changes in the Inequality of Early Growth of Cunninghamia lanceolata (Lamb.) Hook.: A Novel Application of the Gini Coefficient and Lorenz Asymmetry

Shi

Guang

et al. 2006

Genetica

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Growth within tree populations varies among individuals due to changes in biotic and abiotic factors. The degree of such variation, defined as growth inequality, serves as a useful indicator of the uniformity of growth within a population in response to the prevalent environmental conditions. By application of the Gini coefficient (G), an index for inequality, we characterized the early growth inequality of ninety crosses of Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.) and their open-pollinated parental lines. Tree cumulative height was measured annually for 8 consecutive years. Both the crosses and parental lines exhibited temporal changes in growth inequality. The inequality of total height among the crosses decreased logarithmically with age by nearly 3-fold after 13 growing seasons, suggesting that tree height became less variable among the crosses as trees grew larger. Interestingly, the Lorenz asymmetry, an index reflecting the shape of the Lorenze curve from which G is derived, revealed that the inequality of annual height increment among the crosses resulted from an alternate contribution of the fast-growing and slow-growing trees. Among parental lines, two provenances with the smallest and the largest overall inequality in total height showed a similar pattern of changes in annual growth inequality, and the provenance differences were consistent over time. Compared to the other provinces, a local provenance exhibited less variation in total height among individual trees as reflected by a smaller value of inequality, and was better adapted to the field conditions. Our results demonstrated the sensitivity and usefulness of the Gini coefficient and Lorenz asymmetry for the analysis of growth inequality in non-natural populations. Growth inequality is a potentially useful evaluation criterion for early selection. Given comparable initial growth, provenances/families with lower growth inequality values would likely outperform those with higher growth inequality, and eventually tree size of the latter would be more variable due to greater variations among individual trees. Assessment of growth inequality at early ages will advance our understanding of variability of tree growth within a population, facilitate forest genetics improvement programs, and enhance the efficiency of tree breeding.

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Describing Inequality in Plant Size or Fecundity

Cited by 78 publications

References 11 publications

Threatened species and the spatial concentration of humans

Threatened species and the spatial concentration of humans

Scientific Aspects of Spatial Economic Allocation of Entrepreneurial Activities

Temporal Changes in the Inequality of Early Growth of Cunninghamia lanceolata (Lamb.) Hook.: A Novel Application of the Gini Coefficient and Lorenz Asymmetry

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