Extinction threshold in metapopulation models
By Otso Ovaskainen, Ilkka Hanski. 2003
90 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/bfa80639da56b14ff1afc3a46c2868a5d3362a77
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Citations in the corpus
- Impacts of habitat loss and restoration on amphibian populations (2009, background): “For establishing such relationships, large spatial scales should be involved (Ovaskainen and Hanski 2003) and long-term data are required to separate the deterministic response of population to habitat loss from annual fluctuations (Pechmann et al. 1991, Gardner 2001, Marsh 2001).”
- Predicting extinction risk of butterflies and moths (Macrolepidoptera) from distribution patterns and species characteristics (2007, background): “Further the Kullaberg area is situated relatively isolated, and probably the area of suitable habitats has become to scanty to maintain the high species richness that once occupied the area, and the habitat left is not enough (Ovaskainen and Hanski 2003, 2004).”
- Targets for maintenance of dead wood for biodiversity conservation based on extinction thresholds (2006, background): “If the model is highly stochastic, the sigmoidal pattern becomes blurred (Ovaskainen & Hanski, 2003), and at some stage it can become impossible to identify any threshold, because it becomes totally hidden by the stochasticity.”
- Safe and just Earth system boundaries (2023, unknown): “This nonlinear erosion of diversity in response to increasing habitat loss is sometimes called an ‘extinction threshold’ (With and King 1999; Ovaskainen and Hanski 2003), and has been shown to occur when the amount of remaining habitat drops below 10-50% within a landscape (Andrén 1994; Swift and Ha”