Liz Pásztor
Eötvös Loránd University
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Publication
Featured researches published by Liz Pásztor.
Evolutionary Ecology | 1998
Éva Kisdi; Géza Meszéna; Liz Pásztor
In general, optimal reaction norms in heterogeneous populations can be obtained only by iterative numerical procedures (McNamara, 1991; Kawecki and Stearns, 1993). We consider two particular, but biologically plausible and analytically tractable cases of individual optimization to gain insight into the mechanisms which shape the optimal reaction norm of fecundity in relation to an environmental variable or an individual trait. In the first case, we assume that the quality of the environment (e.g. food abundance) or the quality of the individual (e.g. body size) is fixed during its entire life; it may also be a heritable individual trait. In the second case, individual quality is assumed to change randomly such that the probability distribution of quality in the next year is the same for the parent and for her offspring. For these two cases, we obtain analytical expressions for the shape of the optimal reaction norm, which are heuristically interpretable in terms of underlying selective mechanisms. It is shown that better quality may reduce the optimal fecundity. This outcome is particularly likely if better quality increases a fecundity-independent factor of parental survival in a long-lived species with fixed quality.
Ecology Letters | 2014
György Barabás; Liz Pásztor; Géza Meszéna; Annette Ostling
Sensitivity analysis, the study of how ecological variables of interest respond to changes in external conditions, is a theoretically well-developed and widely applied approach in population ecology. Though the application of sensitivity analysis to predicting the response of species-rich communities to disturbances also has a long history, derivation of a mathematical framework for understanding the factors leading to robust coexistence has only been a recent undertaking. Here we suggest that this development opens up a new perspective, providing advances ranging from the applied to the theoretical. First, it yields a framework to be applied in specific cases for assessing the extinction risk of community modules in the face of environmental change. Second, it can be used to determine trait combinations allowing for coexistence that is robust to environmental variation, and limits to diversity in the presence of environmental variation, for specific community types. Third, it offers general insights into the nature of communities that are robust to environmental variation. We apply recent community-level extensions of mathematical sensitivity analysis to example models for illustration. We discuss the advantages and limitations of the method, and some of the empirical questions the theoretical framework could help answer.
Journal of Ornithology | 2006
Anita Mészáros; Zoltán Tóth; Liz Pásztor
Based on automated weighing of nest-boxes, we found that female great tits (Parus major) usually maintained their body mass during the egg-laying period. A drop in temperature (3°C or more) during laying was followed by a drop in body mass, and female body mass also depended slightly but significantly on mean temperature on the other days. Day to day change in body mass depended negatively on the actual body mass. Moreover, the repeatability of the morning body mass was high (rI=0.90, n=24). Thus, female body mass seems to be regulated around a female specific, but temperature-dependent, level during laying. The lack of strong correlation between female average body mass and clutch size makes it improbable that body mass at laying plays a leading, proximate role in the control of clutch-size of great tits.
Theoretical Population Biology | 2006
Géza Meszéna; Mats Gyllenberg; Liz Pásztor; J.A.J. Metz
Trends in Ecology and Evolution | 2000
Liz Pásztor; Éva Kisdi; Géza Meszéna
Archive | 2016
Liz Pásztor; Zoltán Botta-Dukát; Gabriella Magyar; Tamás Czárán; Géza Meszéna
Archive | 2016
Liz Pásztor; Zoltán Botta-Dukát; Gabriella Magyar; Tamás Czárán; Géza Meszéna
Archive | 2016
Liz Pásztor; Zoltán Botta-Dukát; Gabriella Magyar; Tamás Czárán; Géza Meszéna
Archive | 2016
Liz Pásztor; Zoltán Botta-Dukát; Gabriella Magyar; Tamás Czárán; Géza Meszéna
Archive | 2016
Liz Pásztor; Zoltán Botta-Dukát; Gabriella Magyar; Tamás Czárán; Géza Meszéna