IDENTIFYING BREEDING HABITAT FOR THE IBERIAN LYNX: INFERENCES FROM A FINE‐SCALE SPATIAL ANALYSIS

By Néstor Fernández, M. Delibes, Francisco Palomares, David J. Mladenoff. 2003

94 citations recorded by the source corpus.

Subfields: Ecology, Genetics, Small Animals

View Paper: https://www.semanticscholar.org/paper/f6ecbe157f54aba9e9ddb8e7ef75167f45b66a4f

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. Jane Elith
2. Hugh P. Possingham
3. Orly Razgour
4. Julia Hanmer
5. Gareth J. F. Jones
6. Richard G. Pearson
7. L. Robinson
8. R. Kowalczyk

In Genetics

1. Gareth J. F. Jones
2. Jane Elith
3. Anthony J. Richardson
4. S. Richards
5. Richard G. Pearson
6. J. Balbontín
7. Tomasz Podgórski
8. B. Schr

In Small Animals

1. R. Kowalczyk
2. Jane Elith
3. S. Richards
4. J. Balbontín
5. Tomasz Podgórski
6. B. Schr

Citations in the corpus

• Microhabitat selection by Eurasian lynx and its implications for species conservation (2008, background): “They should rather be understood as conditions for increasing the carrying capacity of the deciduous forest habitat (Fernández et al. 2003) that may appear particularly limiting, when acting in concert with such factors as habitat fragmentation or prey depletion.”
• Pushing the limits in marine species distribution modelling: lessons from the land present challenges and opportunities (2011, methodology): “For instance, the distribution of breeding territories of the carnivorous Iberian lynx was modelled using a suite of fine-scale environmental and geographic variables, and the best predictor variable was the density of ecotones between two vegetation classifications (Fernandez et al., 2003).”
• Identifying suitable habitat for dispersal in Bonelli’s eagle: An important issue in halting its decline in Europe (2005, methodology): “, 2005) and other rabbit predators (Fernández et al., 2003).”
• Constrain to perform: Regularization of habitat models (2006, methodology): “They differ in the way model complexity is measured: variable selection uses the number of estimated parameters, thelasso us s the sum of the absolute values of the parameter estimates, and theri ge uses the sum of the squared values of the parameter estimates.”
• Using multi-scale modelling to predict habitat suitability for species of conservation concern: The grey long-eared bat as a case study (2011, background): “Ecological modelling techniques have been mainly used to study broad-scale patterns of species distribution despite their potential to identify fine-scale habitat suitability for endangered species (Fernandez et al., 2003).”
• TESTING ECOLOGICAL THEORY USING THE INFORMATION‐THEORETIC APPROACH: EXAMPLES AND CAUTIONARY RESULTS (2005, background): “For example, the objective may be to identify habitat variables that influence species presence (e.g., Fernández et al. 2003, Godı́nez-Domı́nguez and Freire 2003, Westphal et al. 2003).”