Studies on the population dynamics of a thistle-feeding lady beetle,Henosepilachna pustulosa (Kôno) in a cool temperate climax forest III. The spatial dynamics and the analysis of dispersal behaviour

1983 ◽  
Vol 25 (1) ◽  
pp. 1-19 ◽  
Author(s):  
Koji Nakamura ◽  
Takayuki Ohgushi
Keyword(s):  
Population Dynamics ◽  
Spatial Dynamics ◽  
Lady Beetle ◽  
Dispersal Behaviour ◽  
Cool Temperate ◽  
Climax Forest

Population Dynamics of a Seed Feeding Bug, Lygaeus Equestris. 1. Habitat Patch Structure and Spatial Dynamics

Oikos ◽  
1990 ◽  
Vol 58 (2) ◽  
pp. 199 ◽  
Author(s):  
Christer Solbreck ◽  
Birgitta Sillén-Tullberg ◽  
Birgitta Sillen-Tullberg
Keyword(s):  
Population Dynamics ◽  
Spatial Dynamics ◽  
Habitat Patch ◽  
Patch Structure ◽  
Lygaeus Equestris

scholarly journals Consequences of barriers and changing seasonality on population dynamics and harvest of migratory ungulates

2020 ◽  
Vol 13 (4) ◽  
pp. 595-605
Author(s):  
Bram Van Moorter ◽  
Steinar Engen ◽  
John M. Fryxell ◽  
Manuela Panzacchi ◽  
Erlend B. Nilsen ◽  
...  
Keyword(s):  
Climate Change ◽  
Population Dynamics ◽  
Population Size ◽  
Spatial Dynamics ◽  
Infrastructure Development ◽  
Negative Effects ◽  
Behavioral Avoidance ◽  
Animal Populations ◽  
The Difference ◽  
Global Threat

AbstractMany animal populations providing ecosystem services, including harvest, live in seasonal environments and migrate between seasonally distinct ranges. Unfortunately, two major sources of human-induced global change threaten these populations: climate change and anthropogenic barriers. Anthropogenic infrastructure developments present a global threat to animal migrations through increased migration mortality or behavioral avoidance. Climate change alters the seasonal and spatial dynamics of resources and therefore the effects of migration on population performance. We formulated a population model with ideal-free migration to investigate changes in population size and harvest yield due to barriers and seasonal dynamics. The model predicted an increasing proportion of migrants when the difference between areas in seasonality or carrying capacity increased. Both migration cost and behavioral avoidance of barriers substantially reduced population size and harvest yields. Not surprisingly, the negative effects of barriers were largest when the population benefited most from migration. Despite the overall decline in harvest yield from a migratory population due to barriers, barriers could result in locally increased yield from the resident population following reduced competition from migrants. Our approach and results enhance the understanding of how global warming and infrastructure development worldwide may change population dynamics and harvest offtake affecting livelihoods and rural economies.

Of Mice and Men: What Rodent Populations Can Teach Us about Complex Spatial Dynamics

1988 ◽  
Vol 20 (1) ◽  
pp. 99-109 ◽  
Author(s):  
H Couclelis
Keyword(s):  
Population Dynamics ◽  
Complex Systems ◽  
Cellular Automaton ◽  
Chaotic System ◽  
Spatial Dynamics ◽  
Human Geography ◽  
System Behavior ◽  
Rodent Population ◽  
Rodent Populations ◽  
Scientific Fields

Models of complex systems need not be themselves complex, let alone complicated. To illustrate this important point, a very simple cellular automaton model of rodent population dynamics is used to generate a wide variety of different spatiotemporal structures corresponding to different forms of equilibrium, cyclical, quasi-cyclical, and chaotic system behavior. The issue of complexity as it pertains to a number of different contemporary scientific fields is then discussed, and in particular its implications for prediction. The discussion ends with some general reflexions about modeling in human geography.

scholarly journals Risky movement increases the rate of range expansion

2011 ◽  
Vol 279 (1731) ◽  
pp. 1194-1202 ◽  
Author(s):  
K. A. Bartoń ◽  
T. Hovestadt ◽  
B. L. Phillips ◽  
J. M. J. Travis
Keyword(s):  
Population Dynamics ◽  
Range Expansion ◽  
Movement Behaviour ◽  
Dispersal Behaviour ◽  
Dispersal Success ◽  
Movement Strategy ◽  
Development And Utilization ◽  
Evolutionary Simulations ◽  
Straight Lines ◽  
Movement Rules

The movement rules used by an individual determine both its survival and dispersal success. Here, we develop a simple model that links inter-patch movement behaviour with population dynamics in order to explore how individual dispersal behaviour influences not only its dispersal and survival, but also the population's rate of range expansion. Whereas dispersers are most likely to survive when they follow nearly straight lines and rapidly orient movement towards a non-natal patch, the most rapid rates of range expansion are obtained for trajectories in which individuals delay biasing their movement towards a non-natal patch. This result is robust to the spatial structure of the landscape. Importantly, in a set of evolutionary simulations, we also demonstrate that the movement strategy that evolves at an expanding front is much closer to that maximizing the rate of range expansion than that which maximizes the survival of dispersers. Our results suggest that if one of our conservation goals is the facilitation of range-shifting, then current indices of connectivity need to be complemented by the development and utilization of new indices providing a measure of the ease with which a species spreads across a landscape.

Virus Dynamics and Arms Races

2018 ◽  
pp. 91-119
Author(s):  
Ricard Solé ◽  
Santiago F. Elena
Keyword(s):  
Population Dynamics ◽  
Immune System ◽  
Life Histories ◽  
Spatial Dynamics ◽  
Virus Dynamics ◽  
Evolutionary Models ◽  
Arms Races ◽  
Multiscale Dynamics ◽  
Key Aspects ◽  
Hiv 1

The life histories of viruses cannot be understood outside the context of their host partners. Because they cannot exist without the environment defined by their target organisms, understanding the behavior of viruses inevitably leads to consideration of how they and their hosts coevolve. Mathematics is also key to understanding evolution. This chapter studies several models describing key aspects of virus–host dynamics on different scales. As an illustrative example, the discussion focuses on the interaction between HIV-1 and the immune system, using both ecological and evolutionary models. The chapter covers HIV multiscale dynamics, population dynamics of HIV, infection, spatial dynamics of HIV-1, antigenic diversity thresholds and AIDS, and viral symbiosis.

Simulating spatial dynamics to evaluate methods of deriving abundance indices for tropical tunas

2010 ◽  
Vol 67 (9) ◽  
pp. 1409-1427 ◽  
Author(s):  
Thomas R. Carruthers ◽  
Murdoch K. McAllister ◽  
Robert N. M. Ahrens
Keyword(s):  
Population Dynamics ◽  
Relative Abundance ◽  
Spatial Dynamics ◽  
Selection Criterion ◽  
Information Criterion ◽  
Fishing Effort ◽  
Catch Per Unit Effort ◽  
Applied Model ◽  
Thunnus Obesus ◽  
Abundance Indices

Relative abundance indices derived from nominal catch-per-unit-effort (CPUE) data are a principle source of information for the majority of stock assessments. A particular problem with formulating such abundance indices for pelagic species such as tuna is the interpretation of CPUE data from fleets that have changed distribution over time. In this research, spatial population dynamics are simulated to test the historical pattern of fishing effort as a basis for making inferences about relative abundance. A number of age-structured, spatially disaggregated population dynamics models are described for both Atlantic yellowfin tuna ( Thunnus albacares ) and bigeye tuna ( Thunnus obesus ) to account for uncertainty in spatial distribution and movement. These models are used to evaluate the reliability of standardization methods and a commonly applied model selection criterion, Akaike’s information criterion (AIC). The simulations demonstrate the pitfalls of aggregating CPUE data over spatial areas and highlight the need for data imputation. Simulations support simpler models than those selected using AIC for extracting reliable indices of relative abundance.

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