Bat Links and References

Sister Website: The Parkhurst Forest Bat Project

The Parkhurst Forest Bat Project: https://sites.google.com/site/parkhurstforestbats

The Parkhurst Forest Bat Project is where this program of work originated from, and this website captures the methods and results of applying species distribution modelling methods using very high resolution in the habitat grids. If you are interested in sub-macro modelling on a grid scale of around 10m, then you should also visit this site.

General Bat Links:

[1] Bat Conservation Trust: http://www.bats.org.uk/

[2] The Isle of Wight Bat Group: Facebook Group Page and Website

Species Distribution Modelling:

[1] A maximum entropy approach to species distribution modelling, Steven J. Phillips, Miroslav Dudík, Robert E. Schapire. In Proceedings of the Twenty-First International Conference on Machine Learning, pages 655-662, 2004. http://www.cs.princeton.edu/~schapire/papers/maxent_icml.pdf

[2] Maximum entropy modeling of species geographic distributions, Steven J. Phillips, Miroslav Dudík, Robert E. Schapire, Ecological Modelling, 190:231-259, 2006. http://www.cs.princeton.edu/~schapire/papers/ecolmod.pdf

[3] A statistical explanation of MaxEnt for ecologists, Jane Elith, Steven J. Phillips, Trevor Hastie, Miroslav Dudík, Yung En Chee, Colin J. Yates, Diversity and Distributions, 17:43-57, 2011. http://onlinelibrary.wiley.com/doi/10.1111/j.1472-4642.2010.00725.x/pdf

[4] Species Distribution Modeling for Conservation Educators and Practitioners. Synthesis. American Museum of Natural History. Pearson, R.G. 2007. Available at http://ncep.amnh.org.

[5] Modelling distribution and abundance with presence-only data. Pearce, J.L. & Boyce, M.S., Journal of Applied Ecology, 43, 405-412, 2006

[6] Dennis, R.H.L. & Thomas, C.D. (2000) Bias in butterfly distribution maps: the influence of hot spots and recorder‘s home range. Journal of Insect Conservation, 4, 73-77.

[7] Lobo, J.M. & Tognelli, M.F. (2010) Exploring the effects of quantity and location of pseudo-absences and sampling biases on the performance of distribution models with limited point occurrence data. Journal for Nature Conservation, 19, 1-7

[8] Predictive modelling of bat-habitat relationships on different spatial scales, C. Bellamy, PhD Thesis, The University of Leeds Institute of Integrative and Comparative Biology , September 2011.

[9] Bellamy, C., Scott, C., & Altringham, J. (2013). Multiscale, presence-only habitat suitability models: fine-resolution maps for eight bat species. Journal of Applied Ecology, 50(4), 892–901

[10] A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter, C. Merow, M. J. Smith, J. A. Silander Jr, Ecography 36: 001–012, 2013.

[11] Species-specific tuning increases robustness to sampling bias in models of species distributions: An implementation with Maxent, R. P. Anderson, I. Gonzalez Jr., Ecological Modelling 222 (2011) 2796– 2811.

[12] Phillips, S.J., Dudík, M., Elith, J., Graham, C.H., Lehmann, A., Leathwick, J., Ferrier, S., 2009. Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data. Ecological Applications 19, 181–197.

Tools:

[1] Quantum GIS: http://hub.qgis.org/projects/quantum-gis

[2] MaxEnt: http://www.cs.princeton.edu/~schapire/maxent/