Complex Population Dynamics: A Theoretical/Empirical Synthesis
By M. Holyoak. 2003
323 citations recorded by the source corpus.
Subfields: Public Health, Environmental and Occupational Health, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/b70c5a09f76ef8f87c7ce61eaa3526e60e5d4537
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Public Health, Environmental and Occupational Health
- Malay Banerjee
- Andrew M. Liebhold
- J. Cushing
- W. Koenig
- T. Wiegand
- Sergei V. Petrovskii
- OTTAR N. Bjørnstad
- Jean-Louis Deneubourg
In Sociology and Political Science
- T. Wiegand
- Sergei V. Petrovskii
- Jean-Louis Deneubourg
- Claire Detrain
- Malay Banerjee
- A. Berryman
- W. Koenig
- Henri Weimerskirch
Citations in the corpus
- Inference for nonlinear dynamical systems (2006, unknown): “However, the fact that non-likelihood-based statistical criteria such as least square prediction error (26) or gradient matching (27) are commonly applied to ecological models of the sort considered here is evidence that likelihood-based methods continue to be difficult to apply.”
- Dealing with Uncertainty in Spatially Explicit Population Models (2004, methodology): “Mathematical modelers have increasingly used quantitative statistical techniques for confrontation between models and data and to make rigorous inference from biological patterns (e.g., Hilborn and Mangel 1997; Kendall et al. 1999; Wood 2001; Turchin 2003).”
- Self-organised spatial patterns and chaos in a ratio-dependent predator–prey system (2011, background): “This kind of response function (known as prey-dependent functional response) has been attracting a growing criticism (Berryman 1992; Arditi and Ginzburg 1989; Abrams and Ginzburg 2000; Turchin 2003) because it does not take into account intraspecific interactions in the predator populations.”
- Feeding in the dinoflagellate Oxyrrhis marina: linking behaviour with mechanisms (2011, unknown): “…24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 For Peer Review Roberts et al. – Feeding in Oxyrrhis marina 6 Like many grazers, O. marina exhibits a typical type II functional response (see Turchin, 2003) that can be represented by Eq.”
- Can noise induce chaos (2003, background): “‘deterministic skeleton’’’ (Turchin 2003).”
- Global stability of prey-taxis systems (2017, unknown): “Other type of functional response functions and predator–prey interactions can be found in the excellent surveys [7,24,38].”
- Spatial Synchrony in Population Dynamics (2004, background): “Although Moran’s representation of density-dependent growth by a log-linear autoregressive model (Moran 1953b) provides useful insight into how stochasticity affects synchrony, most populations are thought to be dominated by nonlinear processes (Turchin 2003).”
- The theta‐logistic is unreliable for modelling most census data (2010, unknown): “While it is possible to apply the error to N rather than r, it is conventional to regress robs against Nt, and in any case exogenous factors that contribute to process error in robs affect ‘birth’ and ‘death’ rates additively (Turchin 2003).”
- On principles, laws and theory in population ecology (2003, background): “Turchin (2001) does not list it amongst his ‘‘laws’’ of population dynamics, nor does he consider it an important component of ‘‘complex population dynamics’’ (Turchin 2003), even though the second principle gives rise to the most complex population dynamics of all (multiple stable states).”
- Self-organized structures in a superorganism: do ants "behave" like molecules? (2006, background): “A last fascinating convergence in pattern formation is found out at the higher level of ecosystems such as the regular striped patterns of bushes in savannahs [81] or the periodic outbreaks of insect population density (for a review see [94,127]).”
- Rapid evolution drives ecological dynamics in a predator–prey system (2003, result): “These results confirm that prey evolution can substantially alter predator–prey dynamics, and therefore that attempts to understand population oscillations in natur”
- Modelling population dynamics of seabirds: importance of the effects of climate fluctuations on breeding proportions (2005, background): “It is widely appreciated that life history can produce time lags in population dynamics ( Turchin 2003 ).”
- Future challenges in cephalopod research* (2014, background): “…of cephalopod growth are required, that will combine a theoretical ecology approach (suffering at the moment from an assumption of non-overlapping generation cycles) (Turchin, 2003), a wealth of matrix models (Quinn & Deriso, 1999), and a solid physiological basis (which is lacking at the moment).”
- Almost automorphic solutions of dynamic equations on time scales (2013, unknown): “See, for instance, [52].”