occs

In wallace: A Modular Platform for Reproducible Modeling of Species Niches and Distributions

Component: Obtain Occurrence Data

ORIENTATION

Niche/distributional modeling analyses require georeferenced occurrence records for the species (e.g., with latitude/longitude). At present, Component: Obtain Occurrence Records focuses on data documenting the presence of the species (i.e., not any information on its absence or non-detection; Franklin 2010, Chapter 4; Peterson et al. 2011, Chapter 5; Anderson 2012). Wallace currently allows users to: 1) obtain present-day occurrence records (from dates in the past century or so) from selected online biodiversity databases and download the information (Module: Query Database [Present]), 2) obtain paleontological occurrence records from selected online biodiversity databases and download the information (Module: Query Database [Paleo]); or 3) upload their own dataset (Module: User-specified Occurrences).
Unlike previous versions of Wallace, multiple species now can be uploaded in the same session.

Note: As of 01 September 2023, Module: Query Database [Paleo] will be temporarily unavailable.

REFERENCES

Anderson, R.P. (2012). Harnessing the world's biodiversity data: promise and peril in ecological niche modeling of species distributions. Annals of the New York Academy of Sciences, 1260(1), 66-80. DOI: 10.1111/j.1749-6632.2011.06440.x

Franklin, J. (2010). Data for species distribution models: The biological data. In: Mapping Species Distributions: Spatial Inference and Prediction (Ecology, Biodiversity and Conservation, pp. 55-75). Cambridge: Cambridge University Press. DOI: 10.1017/CBO9780511810602.007

Peterson, A.T., Soberón, J., Pearson, R.G., Anderson, R.P., Martinez-Meyer, E., Nakamura, M., & Araújo, M.B. (2011). Species' Occurrence Data. In: Ecological Niches and Geographic Distributions. Princeton, New Jersey: Monographs in Population Biology, 49. Princeton University Press. DOI: 10.23943/princeton/9780691136868.003.0005

wallace documentation built on Sept. 11, 2024, 9:16 p.m.