Article citationsMore>>

Loiselle, B.A., Howell, C.A., Graham, C.H., Goerck, J.M., Brooks, T., Smith, K.G. and Williams, P.H. (2003) Avoiding Pitfalls of Using Species Distribution Models in Conservation Planning. Conservation Biology, 17, 1591-1600.
https://doi.org/10.1111/j.1523-1739.2003.00233.x

has been cited by the following article:

• TITLE: Distribution Prediction Model of a Rare Orchid Species (Vanda bicolor Griff.) Using Small Sample Size

  AUTHORS: Chitta Ranjan Deb, N. S. Jamir, Zubenthung P. Kikon

  KEYWORDS: MAXENT Distribution Prediction Model, ENM, Ground Truthing, Vanda bicolor

  JOURNAL NAME: American Journal of Plant Sciences, Vol.8 No.6, May 26, 2017

  ABSTRACT: Advancement in field of GIS and Information Technology has taken conservation works and strategies a step further as most conservation works are now dependent on these technologies. The present study explores the prediction ability of MAXENT using a very low sample size by applying jackknife analysis over a well defined smaller region and using only climate data. Vanda bicolor is a horticulture important orchid grown in certain patches of North Eastern region of India and the species considered to be “Vulnerable”. Present study reports a distribution prediction model using different geo-climatic parameters for a small area. Model validation by ground truthing gives a significant successful result which clearly defines the ability of MAXENT prediction model to give high success rate (71%) with low training samples. Use of the low sample size over a larger area results in unstable models however application of these samples in smaller radius around the occurrence points could provide good working models.