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The study focused on forests more than 200 years old where rapid changes in demographic rates would more likely be caused by environmental changes rather than by internal processes like self-thinning that are more common in young forests.
The response variables were demographic rates and abundances.
Figure 3 Demographic rates by habitat preference category across all habitats.
Population dynamics are investigated via regression analyses of different factors on demographic rates.
We parameterize our model using demographic rates based on extensive field data on tigers.
Instead, demographic rates varied across habitats in a consistent way for species in each habitat association group.
Second, negative density-dependence in demographic rates lowers demographic performance on favored sites once a species' density is high there.
We ran Bayesian hierarchical models to estimate the mean demographic rates of individual species, as well as mean rates across species.
To test these hypotheses, we examine how demographic rates of the forest varied across two time intervals, from 1982 1990 and then from 1990 2015.
We used robust-design surveys (2014 2015) to estimate abundance and demographic structure, and all captures recorded between 2007 and 2015 to estimate demographic rates.
We are currently challenged, however, in our ability to parameterize demographic rates necessary for describing fitness, especially across gradients of human disturbance and for land cover types.
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