Population Variability in Experimental Ecosystems

1995 ◽  
pp. 61-71
Author(s):  
Michael L. Pace ◽  
Stephen R. Carpenter ◽  
Patricia A. Soranno
Keyword(s):  
Population Variability ◽  
Experimental Ecosystems

Dimensional approaches to designing better experimental ecosystems: a practitioners guide with examples

Oecologia ◽  
2005 ◽  
Vol 145 (2) ◽  
pp. 215-223 ◽  
Author(s):  
John E. Petersen ◽  
Göran Englund
Keyword(s):  
Experimental Ecosystems

scholarly journals Evaluating within-population variability in behavior and demography for the adaptive potential of a dispersal-limited species to climate change

2016 ◽  
Vol 6 (24) ◽  
pp. 8740-8755 ◽  
Author(s):  
David J. Muñoz ◽  
Kyle Miller Hesed ◽  
Evan H. Campbell Grant ◽  
David A. W. Miller
Keyword(s):  
Climate Change ◽  
Population Variability ◽  
Adaptive Potential

Effects of light, temperature and population variability on the germination of seven Spanish pines

2002 ◽  
Vol 12 (4) ◽  
pp. 261-271 ◽  
Author(s):  
A. Escudero ◽  
F. Pérez-García ◽  
A. L. Luzuriaga
Keyword(s):  
Habitat Preferences ◽  
Population Variability ◽  
Nested Models ◽  
Germination Response ◽  
Germination Characteristics ◽  
Different Populations ◽  
Effects Of Temperature ◽  
Germination Traits ◽  
The Relationship ◽  
Pine Species

AbstractMost Pinus species are obligate seeders. Thus, knowledge of germination characteristics can help in the understanding, prediction and manipulation of the regeneration and dynamics of pine forests. Seven pine species with contrasting habitat preferences and different genetic pairwise distances are present in the Iberian Peninsula and the Canary Islands: P. halepensis, P. nigra, P. pinaster, P. pinea, P. sylvestris, P. uncinata and P. canariensis. These seven pine species comprise an exceptional experimental set to test some questions related to germination traits, such as: (1) What are the effects of light and temperature on germination, taking into account interpopulation variability? (2) Is there any association of germination traits with habitat (montane versus lowland) preferences? and (3) What is the relationship between germination traits and the genetic distance between pine species? P. nigra, P. sylvestris and P. uncinata seeds showed faster germination rates. Seeds of P. nigra and P. sylvestris reached high total germination percentages in every temperature and light treatment, suggesting an opportunistic germination strategy. Unlike montane pines, lowland pines did show significant effects of temperature on germination response: final germination was higher between 15°C and 20°C than at warmer and alternating temperatures. Relatively low temperatures associated with the winter rainy season would favour germination of most of these species. Nested models showed that population variability was the main source of variation in germination response. Thus, there is no phylogenetic control of the germination response and, surprisingly, germination traits were not related to habitat preferences. As a consequence, we believe that studies of the germination characteristics of a pine species should consider different populations.

Bartonella bacteria in nature: Where does population variability end and a species start?

2012 ◽  
Vol 12 (5) ◽  
pp. 894-904 ◽  
Author(s):  
Michael Kosoy ◽  
David T.S. Hayman ◽  
Kung-Sik Chan
Keyword(s):  
Population Variability

scholarly journals Population Variability and Heat Bias Prediction in a Tropical Country, Nigeria, From 2006 to 2036

2018 ◽  
Vol 4 (1) ◽  
pp. 28-38
Author(s):  
Peace Nwaerema ◽  
David Edokpa
Keyword(s):  
Population Density ◽  
Management Strategies ◽  
Positive Association ◽  
Population Variability ◽  
Land Use Management ◽  
High Concentration ◽  
Tropical Country ◽  
Safe Place ◽  
National Population ◽  
Land Mass

This research explores population variability and heat bias prediction in a tropical country, Nigeria from 2006 to 2036. Data were generated from the projections of the National Population Commission (NPC) using the population mathematical model for heat bias data.  With national population growth rate of 2.67%, Nigeria recorded heat bias of 60C in 2016, 6.1oC in 2026 and 6.20C in 2036 as well as 0.10C decadal variation indicating that it has exceeded the 0.5-0.250C standard comfort threshold. The analytical results show that there is a positive association between population density and heat bias across the states of Nigeria with greater effects in states such as Lagos, Anambra, Imo, Abia, Akwa Ibom Ekiti, Rivers, Osun and Ebonyi due to the high concentration of people in their limited land mass. And more of the eastern states of Nigeria will have much effect of the heat bias due to their high population density. It shows that land mass does not have any association with heat bias and will likely be influenced by land modification and atmospheric characteristics. Heat wave could result to death of people; therefore, national planners should implement environmental, health and land-use management strategies with immediate action in order to make Nigeria a safe place to live.

scholarly journals Defect population variability in deuterated potassium di-hydrogen phosphate crystals

2012 ◽  
Vol 2 (11) ◽  
pp. 1612 ◽  
Author(s):  
Zhi M. Liao ◽  
R. Roussell ◽  
J. J. Adams ◽  
M. Runkel ◽  
W. T. Frenk ◽  
...  
Keyword(s):  
Population Variability ◽  
Hydrogen Phosphate
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