Principles of Population Dynamics and Their Application

By A. Berryman. 2020

299 citations recorded by the source corpus.

Subfields: Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/1476c1abde2eaf6b111b6ceb3209b026214f7933

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In Nature and Landscape Conservation

Citations in the corpus

Laws of nature and laws of ecology (2003, background): “(Of course, there is still disagreement over the details of what the laws are – see Berryman 1999, Ginzburg 1986 and Turchin 2003 for different accounts of the laws of population ecology.)”
Predicting insect pest status under climate change scenarios: combining experimental data and population dynamics modelling (2009, background): “Ricker’s equation is: R ¼ Rmax 1 Nt 1 K Q ! ð1Þ Where Nt)1 is the abundance at time t)1; R is the realized per capita growth rate Rt = log(Nt/Nt-1); Rmax is the maximum per capita growth rate estimated for the species; K is the ED and Q is a non-linearity factor (Berryman 1999).”
Resource dynamic plays a key role in regional fluctuations of the spruce bark beetles Ips typographus (2004, methodology): “The endogenous feedback structure acting on the beetle population and regulating its dynamics Feedback processes are usually detected in stationary time series by regressing Rt on Nt d, where d represents the delay, or order, of the feedback response (Royama, 1992; Berryman, 1999).”
ANALYSIS OF SPRUCE BUDWORM OUTBREAK CYCLES IN NEW BRUNSWICK, CANADA, SINCE 1952 (2005, methodology): “Therefore, we opt for a univariate time series model that can approximate the cyclic pattern of the temporal variation that the interaction process would generate (Royama 1992, Berryman 1999).”
Demographic dynamics of a neotropical small rodent (Phyllotis darwini): feedback structure, predation and climatic factors (2001, background): “In contrast, exogenous factors are due to density-independent factors, including climate and weather (Royama 1992; Berryman 1999).”
The influence of larval density, food availability and habitat longevity on the life history and population growth rate of the midge Chironomus riparius (2003, background): “Other insect studies that have reported concave-up relationships include Drosophila melanogaster (Turchin 1991), winter moth Operophtera brumata (Roland 1994) and cowpea weevil Callosobruchus maculatus (Berryman 1999); however negative linear relationships have been reported in treehole mosquito Aed”
ESTIMATING DENSITY DEPENDENCE, PROCESS NOISE, AND OBSERVATION ERROR (2006, methodology): “The use of mathematical population models as the basis for analysis of time series population abundances has been a productive and useful area of research in the past decade (Dennis et al. 1991, Dennis and Taper 1994, Berryman 1999, Turchin 2003).”
DYNAMICAL EFFECTS OF PLANT QUALITY AND PARASITISM ON POPULATION CYCLES OF LARCH BUDMOTH (2003, background): “Thus, the current explanation of budmoth cycles is based on their interaction with foliage quality (Baltensweiler and Fischlin 1988, Berryman 1999).”
Identifying the density-dependent structure underlying ecological time series (2001, methodology): “One of the major problems in animal ecology is explaining the causes of population fluctuations (Royama 1992, Berryman 1999).”
Local‐scale synchrony and variability in mast seed production patterns of Picea glauca (2007, methodology): “Data were log-transformed and differenced to the mean annual total cones per tree, to fit assumptions of normality and stationarity (Berryman 1999) for each tree.”
On principles, laws and theory in population ecology (2003, methodology): “Berryman (1999) claims that population ecology already has a set of well-defined principles that are sufficient to describe, classify and explain all known patterns of population dynamics.”