The equilibrium assumption in estimating the parameters of metapopulation models.

By Atte Moilanen. 2000

73 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/9c698b197a42a40a2b9f322934593d9aaf028e04

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Ilkka Hanski
2. M. Nieminen
3. Volker Grimm
4. E. Fleishman
5. M. Cabeza
6. Atte Moilanen
7. Otso Ovaskainen
8. D. Murphy

In Global and Planetary Change

1. M. Cabeza
2. E. Fleishman
3. Atte Moilanen
4. Volker Grimm
5. R. Mac Nally
6. Ilkka Hanski
7. Otso Ovaskainen
8. M. Nieminen

In Nature and Landscape Conservation

1. Ilkka Hanski
2. Atte Moilanen
3. Otso Ovaskainen
4. E. Fleishman
5. Volker Grimm
6. M. Cabeza
7. M. Nieminen
8. John P. Fay

Citations in the corpus

• SIMPLE CONNECTIVITY MEASURES IN SPATIAL ECOLOGY (2002, background): “A standard approach is to include habitat quality variables in a logistic regression model (Sjögren-Gulve and Hanski 2000, but see Moilanen 2000 about the use of logistic regression for predicting metapopulation dynamics).”
• Assessing the Roles of Patch Quality, Area, and Isolation in Predicting Metapopulation Dynamics (2002, background): “Choice and parameterization of metapopulation-occupancy models can be complicated by numerous factors ( Hanski 1999; Moilanen 2000; Sjögren-Gulve & Hanski 2000).”
• The virtual ecologist approach: simulating data and observers (2010, methodology): “logistic regression of turnover rates), especially when only snapshot data from two years is used (Moilanen 2000).”
• Extinction threshold in metapopulation models (2003, background): “While this simplifi cation restricts the range of situations to which the theory can be applied, it makes the models both tractable for rigorous mathematical analysis (Ovaskainen & Hanski 2001, 2002, Ovaskainen 2001, 2003) and turns them to effective tools that are increasingly used in empirical stu”
• Validation Tests of Predictive Models of Butterfly Occurrence Based on Environmental Variables (2003, background): “A single snapshot of occupancy may be adequate if it represents longer-term occupancy patterns well, but parameters and validation tests based on temporally extensive data are generally expected to yield moreaccurate predictions (Hanski 1994, 1999; Hanski et al. 1996; Moilanen 1999, 2000).”
• Single‐species dynamic site selection (2002, methodology): “The metapopulation model used in this study, the incidence function model (Hanski 1994), has been extensively discussed elsewhere (Hanski 1994, 1997, 1999, Hanski et al. 1996, Moilanen et al. 1998, ter Braak et al. 1998, Moilanen 1999, 2000).”