Modelling butterfly distribution based on remote sensing data

By Miska Luoto, M. Kuussaari, Tuuli Toivonen. 2002

99 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/4439ffe34be6389c4b50e087773adc1cf74d580b

How researchers see this paper

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

In Ecological Modeling

1. G. C. Costa
2. G. Colli
3. C. Nogueira
4. Duccio Rocchini
5. Josef Settele
6. I. Maclean
7. Giles M. Foody
8. Ricardo B. Machado

In Ecology, Evolution, Behavior and Systematics

1. G. C. Costa
2. C. Nogueira
3. G. Colli
4. Ricardo B. Machado
5. J. Dover
6. Giles M. Foody
7. Robert J. Wilson
8. Duccio Rocchini

In Nature and Landscape Conservation

1. G. C. Costa
2. G. Colli
3. Duccio Rocchini
4. C. Nogueira
5. Josef Settele
6. I. Maclean
7. Giles M. Foody
8. Ricardo B. Machado

Citations in the corpus

• Recent evidence for the climate change threat to Lepidoptera and other insects (2011, methodology): “This approach has been successfully applied for Parnassius mnemosyne (Heikkinen et al. 2005, 2007; Luoto et al. 2007) and Maculinea nausithous (Jiménez-Valverde et al.”
• Detecting the influence of climatic variables on species distributions: a test using GIS niche‐based models along a steep longitudinal environmental gradient (2008, background): “These models identify previously unsampled locations where the species has a high probability of occurrence and have been applied successfully to predict the geographic distributions of several animal groups in a variety of ecosystems (Peterson, 2001; Luoto et al., 2002; Raxworthy et al., 2003).”
• Predicting species distributions across the Amazonian and Andean regions using remote sensing data (2008, background): “NDVI, or similar vegetation indices, are among the few satellite variables that have been used extensively in ecological niche modelling (e.g. Fuentes et al., 2001; Osborne et al., 2001; Luoto et al., 2002; Zinner et al., 2002; Parra et al., 2004; Roura-Pascual et al., 2006).”
• Measuring and modelling biodiversity from space (2008, background): “…to assess the diversity of species and assess impacts associated with changes in the habitat mosaic such as fragmentation based on landscape metrics (ie, area and isolation) (Kerr et al., 2001; Luoto et al., 2002; 2004; Cohen and Goward, 2004; Fuller et al., 2007; Lassau and Hochuli, 2007).”
• Squamate richness in the Brazilian Cerrado and its environmental–climatic associations (2007, methodology): “These methods have been successfully applied to several animal groups in different ecosystems, including butterflies in Finland (Luoto et al ., 2002), birds in North America (Peterson, 2001), and lizards in Madagascar (Raxworthy et al ., 2003).”
• The influences of landscape structure on butterfly distribution and movement: a review (2009, background): “Connectivity (Taylor et al. 1993) is a critical concept strongly influencing whether habitat patches are occupied or not (e.g. Luoto and Kuussaari 2002).”