Editor: José Alexandre F. Diniz-Filho
Plumbing the depths: extending ecological niche modelling and species distribution modelling in three dimensions
Article first published online: 6 MAR 2013
© 2013 John Wiley & Sons Ltd
Global Ecology and Biogeography
Volume 22, Issue 8, pages 952–961, August 2013
How to Cite
Bentlage, B., Peterson, A. T., Barve, N. and Cartwright, P. (2013), Plumbing the depths: extending ecological niche modelling and species distribution modelling in three dimensions. Global Ecology and Biogeography, 22: 952–961. doi: 10.1111/geb.12049
- Issue published online: 3 JUL 2013
- Article first published online: 6 MAR 2013
- US NSF Doctoral Dissertation Improvement Grant. Grant Number: DEB 0910237
- US NSF Assembling the Cnidarian Tree of Life Grant. Grant Number: EF-053179
- Bioclimatic envelope;
- ecological niche model;
- Periphylla periphylla;
- species distribution model;
Ecological niche modelling (ENM) and species distribution modelling (SDM) have been used extensively to study biogeographic and macroecological patterns of terrestrial fauna and flora. Few studies to date have applied ENM and SDM to marine ecosystems, and those that have treated the marine environment as a two-dimensional space owing to limitations of the implementations of current ENM/SDM tools. For many marine organisms, ENM/SDM should be performed in three-dimensional space, taking into account latitude, longitude and depth. We present a case study demonstrating a strategy for three-dimensional ENM/SDM.
Open ocean; global.
We decompose the three-dimensional structure of marine environmental and species occurrence data into a series of two-dimensional spaces using an easy-to-implement transformation, after which existing ENM/SDM tools can be used to analyse the data. We demonstrate our approach by modelling the potential distribution of a deep-sea-dwelling jellyfish with two commonly used algorithms. Potential effects of missing data and spatial sampling biases were assessed using resampling approaches.
We demonstrate that it is feasible to derive predictive models of three-dimensional distributions of marine species using existing software tools developed with two-dimensional terrestrial situations in mind. The strategy presented here allowed us to model the distribution of a jellyfish species that inhabits the deep sea. We assessed the effects of missing occurrence data and spatial bias of occurrence data, and found that interpolation among occurrence data-points and extrapolation into unsampled conditions present distinct challenges that may require different modelling algorithms and interpretations.
Our modified ENM/SDM approach is straightforward, and can be used to model situations that have heretofore been beyond the reach of ENM/SDM applications. In particular, geographic distributions and ecological niches of organisms inhabiting three-dimensional habitats such as water columns in marine and freshwater environments can be modelled using the framework presented here.