Keep collecting: accurate species distribution modelling requires more collections than previously thought
By Kenneth J. Feeley, M. Silman. 2011
226 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/95dd542aaea7fa894454c8986b86afc437052709
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
- Jorge M. Lobo
- A. Jiménez‐Valverde
- Rune Halvorsen
- Raimundo Real
- P. Acevedo
- A. Márcia Barbosa
- Kenneth J. Feeley
- R. Baker
In Ecology
- Jorge M. Lobo
- A. Jiménez‐Valverde
- Raimundo Real
- P. Acevedo
- Rune Halvorsen
- A. Márcia Barbosa
- Kenneth J. Feeley
- Joaquín Hortal
In Nature and Landscape Conservation
- Jorge M. Lobo
- A. Jiménez‐Valverde
- Raimundo Real
- P. Acevedo
- Kenneth J. Feeley
- Rune Halvorsen
- A. Márcia Barbosa
- Joaquín Hortal
Citations in the corpus
- Discrimination capacity in species distribution models depends on the representativeness of the environmental domain (2013, background): “As pointed out by some authors, data quality is probably the most important factor influencing general model performance, an aspect to which much more effort and resources should be devoted (Lobo, 2008; Jiménez-Valverde et al., 2010; Feeley & Silman, 2011; Rocchini et al., 2011).”
- Assessing the Value of Natural History Collections and Addressing Issues Regarding Long-Term Growth and Care (2014, background): “We and others (Patterson 2002, Edwards et al. 2005, Winker 2005, Stoeckle and Winker 2009, Feeley and Silman 2011) posit that, presently, museums do not have adequate samples of voucher specimens to understand the world’s biodiversity and its significance to science and society.”
- Distributional migrations, expansions, and contractions of tropical plant species as revealed in dated herbarium records (2012, methodology): “Furthermore, collections tend to be temporally autocorrelated as herbarium specimens are often the result of collection campaigns in which attention is focused on a small area over a short period of time (Feeley & Silman, 2011).”
- A strict maximum likelihood explanation of MaxEnt, and some implications for distribution modelling (2013, background): “However, for most cases of practical distribution modelling only PO data are available (e.g., Franklin 2009, Robertson et al. 2010, Feeley & Silman 2011, Niamir et al. 2011) and generative MaxEnt is therefore the main focus of this paper.”