A Spatially Explicit Population Model of Stoloniferous N-Fixing Legumes in Mixed Pasture with Grass

1996 ◽  
Vol 84 (6) ◽  
pp. 815 ◽  
Author(s):  
S. Schwinning ◽  
A. J. Parsons
Keyword(s):  
Population Model ◽  
Spatially Explicit ◽  
Spatially Explicit Population Model

Expansion of Brown Bears (Ursus arctos) into the Eastern Alps: A Spatially Explicit Population Model

2004 ◽  
Vol 13 (1) ◽  
pp. 79-114 ◽  
Author(s):  
Thorsten Wiegand ◽  
Felix Knauer ◽  
Petra Kaczensky ◽  
Javier Naves
Keyword(s):  
Population Model ◽  
Ursus Arctos ◽  
Eastern Alps ◽  
Spatially Explicit ◽  
Brown Bears ◽  
Spatially Explicit Population Model

A spatially explicit population model to compare management using culling and fertility control to reduce numbers of grey squirrels

2021 ◽  
Vol 440 ◽  
pp. 109386
Author(s):  
S. Croft ◽  
J.N. Aegerter ◽  
S. Beatham ◽  
J. Coats ◽  
G. Massei
Keyword(s):  
Population Model ◽  
Fertility Control ◽  
Spatially Explicit ◽  
Spatially Explicit Population Model ◽  
Grey Squirrels

scholarly journals A simple landscape-scale test of a spatially explicit population model: patch occupancy in fragmented south-eastern Australian forests

Oikos ◽  
2001 ◽  
Vol 92 (3) ◽  
pp. 445-458 ◽  
Author(s):  
David B. Lindenmayer ◽  
Michael A. McCarthy ◽  
Hugh P. Possingham ◽  
Sarah Legge
Keyword(s):  
Population Model ◽  
Landscape Scale ◽  
Spatially Explicit ◽  
Patch Occupancy ◽  
South Eastern ◽  
Spatially Explicit Population Model ◽  
Scale Test

Evaluating coyote management strategies using a spatially explicit, individual-based, socially structured population model

2008 ◽  
Vol 219 (1-2) ◽  
pp. 234-247 ◽  
Author(s):  
Mary M. Conner ◽  
Michael R. Ebinger ◽  
Frederick F. Knowlton
Keyword(s):  
Population Model ◽  
Management Strategies ◽  
Spatially Explicit ◽  
Structured Population Model ◽  
Structured Population

scholarly journals Managing mobile species with MPAs: the effects of mobility, larval dispersal, and fishing mortality on closure size

2008 ◽  
Vol 66 (1) ◽  
pp. 122-131 ◽  
Author(s):  
W. J. F. Le Quesne ◽  
Edward A. Codling
Keyword(s):  
Protected Areas ◽  
Marine Protected Areas ◽  
Larval Dispersal ◽  
Population Model ◽  
Marine Reserves ◽  
Spatially Explicit ◽  
Fishing Mortality ◽  
Mobile Species ◽  
Explicit Dynamic ◽  
Dynamic Population

Abstract Le Quesne, W. J. F., and Codling, E. A. 2009. Managing mobile species with MPAs: the effects of mobility, larval dispersal, and fishing mortality on closure size. – ICES Journal of Marine Science, 66: 122–131. The use of closed areas (marine protected areas, marine reserves, no-take zones) has been suggested as a possible solution to the perceived global fisheries crisis. However, to optimize the design and evaluate the effectiveness of closed areas, we need to understand the interaction between larval dispersal, adult mobility, and fishing mortality. In this paper, a simple, spatially explicit dynamic population model was developed to examine the effects of these interacting factors on optimal closure size and resulting yields. The effect of using one large or several smaller closed areas was also examined. Our model confirmed previous results: closed areas do not improve the yield of populations that are optimally managed or underexploited and, as mobility increases, optimum closure size increases. The model also predicted some interesting counter-intuitive results; for overexploited stocks, the greatest benefit from closed areas can be obtained for stocks with highest mobility, although this may require closure of 85% of the total area. For the tested parameter settings, adult spillover had greater potential to improve yield than larval export, and using several small closed areas rather than a single larger one had the same effect as increasing the mobility of the population.

scholarly journals Modelling the impact of poaching on metapopulation viability for data-limited species

2017 ◽  
Vol 74 (6) ◽  
pp. 894-906 ◽  
Author(s):  
Abbey E. Camaclang ◽  
Janelle M.R. Curtis ◽  
Ilona Naujokaitis-Lewis ◽  
Mark S. Poesch ◽  
Marten A. Koops
Keyword(s):  
Management Strategies ◽  
Simulation Models ◽  
Sensitivity Analyses ◽  
Future Research ◽  
Spatially Explicit ◽  
Barkley Sound ◽  
Spatially Explicit Population Model ◽  
Future Research Directions ◽  
Explicit Simulation ◽  
The Impact

We developed a spatially explicit simulation model of poaching behaviour to quantify the relative influence of the intensity, frequency, and spatial distribution of poaching on metapopulation viability. We integrated our model of poaching with a stochastic, habitat-based, spatially explicit population model, applied it to examine the impact of poaching on northern abalone (Haliotis kamtschatkana) metapopulation dynamics in Barkley Sound, British Columbia, Canada, and quantified model sensitivity to input parameters. While demographic parameters remained important in predicting extinction probabilities for northern abalone, our simulations indicate that the odds of extinction are twice as high when populations are subjected to poaching. Viability was influenced by poaching variables that affect the total number of individuals removed. Of these, poaching mortality was the most influential in predicting metapopulation viability, with each 0.1 increase in mortality rate resulting in 22.6% increase in the odds of extinction. By contrast, the location and spatial correlation of events were less important predictors of viability. When data are limited, simulation models of poaching combined with sensitivity analyses can be useful in informing management strategies and future research directions.

Evaluating Effects of Everglades Restoration on American Crocodile Populations in South Florida Using a Spatially-Explicit, Stage-Based Population Model

Wetlands ◽  
2013 ◽  
Vol 34 (S1) ◽  
pp. 213-224 ◽  
Author(s):  
Timothy W. Green ◽  
Daniel H. Slone ◽  
Eric D. Swain ◽  
Michael S. Cherkiss ◽  
Melinda Lohmann ◽  
...  
Keyword(s):  
Population Model ◽  
South Florida ◽  
Spatially Explicit ◽  
Everglades Restoration ◽  
American Crocodile
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