Forecasting the future of biodiversity: a test of single- and multi-species models for ants in North America
By M. Fitzpatrick, N. Sanders, Simon Ferrier, J. Longino, M. Weiser, R. Dunn. 2011
106 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Genetics
View Paper: https://www.semanticscholar.org/paper/685475d9a9589e3e799c3ce16982b4db76ed21fb
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
- Nicholas Gotelli
- N. Sanders
- M. Fitzpatrick
- R. Dunn
- Aaron M. Ellison
- Heraldo L. Vasconcelos
- S. Philpott
- Jean-Philippe Lessard
In Ecology, Evolution, Behavior and Systematics
- M. Fitzpatrick
- Aaron M. Ellison
- N. Sanders
- Heraldo L. Vasconcelos
- R. Dunn
- S. Philpott
- Nicholas Gotelli
- B. Fisher
In Genetics
- M. Fitzpatrick
- Nicholas Gotelli
- Aaron M. Ellison
- Heraldo L. Vasconcelos
- B. Fisher
- S. Philpott
- C. Parr
- R. Dunn
Citations in the corpus
- Modeling Species and Community Responses to Past, Present, and Future Episodes of Climatic and Ecological Change (2015, unknown): “…past range hypotheses generated from phylogenetic data Rödder et al. 2013, Shi et al. 2014 Forecasts of future distributions and genetic diversity Fordham et al. 2014, Yannic et al. 2014 Phylogenetic biogeographic patterns Lawing & Matzke 2014 Biogeographic patterns and species distributions…”
- Global diversity in light of climate change: the case of ants (2011, background): “This will be particularly important for understanding how insect diversity, and the services that insects provide, may respond to anthropogenic pressure and a changing climate (e.g. Fitzpatrick et al., 2011).”
- Ecological genomics meets community-level modelling of biodiversity: mapping the genomic landscape of current and future environmental adaptation. (2015, methodology): “In terms of significance testing in GDM, non-independence arising from the use pairwise distance matrices can be overcome using matrix permutation (e.g. Fitzpatrick et al. 2011).”