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Bringing modeling to the masses: a web based system to predict potential species distributions
Graham, J.; Newman, G.; Kumar, S.; Jarnevich, C.; Young, N.; Crall, A.; Stohlgren, T.J.; Evangelista, P. (2010). Bringing modeling to the masses: a web based system to predict potential species distributions. Future Internet 2(4): 624-634. hdl.handle.net/10.3390/fi2040624
In: Future Internet. MDPI: Basel. ISSN 1999-5903; e-ISSN 1999-5903
Peer reviewed article  

Beschikbaar in  Auteurs 

Author keywords
    species distribution modeling; niche modeling; biodiversity informatics; world-wide-web; spatial analysis

Auteurs  Top 
  • Graham, J.
  • Newman, G.
  • Kumar, S.
  • Jarnevich, C.
  • Young, N.
  • Crall, A.
  • Stohlgren, T.J.
  • Evangelista, P.

Abstract
    Predicting current and potential species distributions and abundance is critical for managing invasive species, preserving threatened and endangered species, and conserving native species and habitats. Accurate predictive models are needed at local, regional, and national scales to guide field surveys, improve monitoring, and set priorities for conservation and restoration. Modeling capabilities, however, are often limited by access to software and environmental data required for predictions. To address these needs, we built a comprehensive web-based system that: (1) maintains a large database of field data; (2) provides access to field data and a wealth of environmental data; (3) accesses values in rasters representing environmental characteristics; (4) runs statistical spatial models; and (5) creates maps that predict the potential species distribution. The system is available online at www.niiss.org, and provides web-based tools for stakeholders to create potential species distribution models and maps under current and future climate scenarios.

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