Revisiting tree-migration rates: Abies alba (Mill.), a case study

2013 ◽  
Vol 23 (2) ◽  
pp. 113-122 ◽  
Author(s):  
Rachid Cheddadi ◽  
H. John B. Birks ◽  
Pedro Tarroso ◽  
Sascha Liepelt ◽  
Dusan Gömöry ◽  
...  
PLoS ONE ◽  
2013 ◽  
Vol 8 (8) ◽  
pp. e71797 ◽  
Author(s):  
Angelica Feurdean ◽  
Shonil A. Bhagwat ◽  
Katherine J. Willis ◽  
H. John B Birks ◽  
Heike Lischke ◽  
...  

2015 ◽  
Vol 36 (9) ◽  
pp. 1937-1960 ◽  
Author(s):  
KATHRIN KOMP ◽  
STINA JOHANSSON

ABSTRACTPopulation ageing is a global trend that affects individual life plans, family arrangements, market structures, care provisions and pension schemes. We combine insights from demography and lifecourse research to understand better the causes of population ageing. Demography explains population ageing by describing changes in fertility, mortality and migration rates. Lifecourse research argues that these rates are interconnected because they are embedded in the lifecourses of individuals. An individual's experiences at an early age can influence behaviours at a later age, thereby creating continuity throughout the lifecourse. Additionally, lifecourse research underlines that social networks – such as families – and countries influence lifecourse. Thus, historical events and past experiences have already set the course for today's demographic changes. Moreover, the effects of policies that strive to influence population ageing will not be evident for years or even decades to come. This paper introduces a conceptual framework that explains how the lifecourse perspective can be applied to the phenomenon of population ageing and illustrates the framework through a case study of Germany. The case study highlights that insights from the micro-, meso- and macro-levels need to be combined to achieve a deeper understanding of population ageing. Scholars can use the framework presented in this paper as a guideline for merging arguments from demography and lifecourse research in future studies.


Author(s):  
Tombra S. Akana ◽  
O. C. Adeigbe

Channel planform dynamics were analyzed for the River Nun; a major distributary of the River Niger from 1985 to 2015 using GIS and Remote sensing applications. Satellite imagery of the area from 1985, 1995, 2005, and 2015 were analyzed by means of GIS and used to determine the planform characteristics and changes in width, sinuosity, and shoreline migration rates. The channel planform dynamics were determined by comparing sequential changes in the position of the shorelines in these years. Sinuosity adjustments during the study were small and range between 1.74–1.76. The initial sinuosity (1.74 in 1985) increased to 1.75 in 1995 and then increased to 1.76 in 2015. Channel expansion is observed to be the dominant planform process, owing to periodic floods within the study area. The river’s channel width barely expanded from 1985 to 1995 (by 0.1 %). However, there is a constant increase in expansion within the study years that by 2005-2015 expansion had increased to 9%. The bank erosion was prevalent. Mean erosion rates ranged from 0.7 m/year in 20 years (1985-2005) to 2m/year in 30 years (1985-2015). In the 1st 10 years (1985-1995) less than 0.1 m of deposition was observed. The mean erosion rates ranged from 1.3 to 1.6 m/year on the left side and 2.8 to 3.8 m/year on the right side of the channel. Mean accretion rates of 1.2 m/year on the left side and 1.8 m/year on the right side were observed. The channel is observed to move generally towards the east (right).


2012 ◽  
Vol 298 (4) ◽  
pp. 703-712 ◽  
Author(s):  
Dušan Gömöry ◽  
Ladislav Paule ◽  
Diana Krajmerová ◽  
Ivana Romšáková ◽  
Roman Longauer

2019 ◽  
Vol 38 (4) ◽  
pp. 353-366
Author(s):  
Taras Parpan ◽  
Ihor Kozak ◽  
Yuriy Shparyk ◽  
Myroslava Mylenka ◽  
Ivan Balaniuk

AbstractThe FORKOME model used in the article contains elements of forest and ecological approaches and was specially developed for the conditions of the Gorgans. The modeling was performed based on the single simulation results and statistically averaged forecast of 200 simulations (“Monte Carlo”) in order to show the tendency of changes and their correspondence with single simulations. The forecast of the forest dynamics was conducted at the 100th anniversary period with “control” and “warm-dry” scenarios. It has been revealed that the rapid decrease in biomass in the first decade was caused by Norway spruce decline. It was revealed that in the control scenario, the most active biomass growth during the 100th year forecast was shown by Silver fir (Abies alba Mill.) and beech (Fagus sylvatica L.). The fir reacted relatively sensitively to the warming and decrease in rainfall. The relationships between tree species and the influence of biomass of Norway spruce tree on the biomass of the whole forest tree stand were analyzed.


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