Distribution Prediction Model of a Rare Orchid Species (Vanda bicolor Griff.) Using Small Sample Size - American Journal of Plant Sciences

AJPS > Vol.8 No.6, May 2017

American Journal of Plant Sciences

Volume 8, Issue 6 (May 2017)

ISSN Print: 2158-2742 ISSN Online: 2158-2750

Google-based Impact Factor: 1.20 Citations h5-index & Ranking

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

HTML XML

Download as PDF (Size: 1365KB) PP. 1388-1398

DOI: 10.4236/ajps.2017.86094 1,427 Downloads 3,018 Views Citations

Author(s)

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

Affiliation(s)

Department of Botany, Nagaland University, Nagaland, India.

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.

KEYWORDS

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

Share and Cite:

Deb, C. , Jamir, N. and Kikon, Z. (2017) Distribution Prediction Model of a Rare Orchid Species (Vanda bicolor Griff.) Using Small Sample Size. American Journal of Plant Sciences, 8, 1388-1398. doi: 10.4236/ajps.2017.86094.

Cited by

[1]	Riparian areas as a conservation priority under climate change
	Science of The Total …, 2023

[2]	Trends in species distribution modelling in context of rare and endemic plants: A systematic review
	ul-Haq - Ecological Processes, 2022

[3]	Spatial patterns of West Nile virus distribution in the Volgograd region of Russia, a territory with long-existing foci
	PLOS Neglected …, 2022

[4]	Assessing potential habitat suitability of parasitic plant: A case study of Rafflesia arnoldii and its host plants
	Global Ecology and …, 2022

[5]	Inferring the potential geographic distribution and reasons for the endangered status of the tree fern, sphaeropteris lepifera, in lingnan, china using a small …
	Horticulturae, 2021

[6]	Potential geographical distribution and environmental explanations of rare and endangered plant species through combined modeling: A case study of Northwest …
	Ecology and …, 2021

[7]	Exploring Effective Conservation of Charismatic Flora: Orchids in Armenia as a Case Study
	Diversity, 2021

[8]	Exploring Effective Conservation of Charismatic Flora: Orchids in Armenia as a Case Study. Diversity 2021, 13, 624
	2021

[9]	PREDICTING HABITAT SUITABILITY OF Pistacia atlantica DESF WITH MAXENT AND GIS IN THE NORTHWESTERN REGIONS OF ALGERIA
	2021

[10]	Geographic predictions of iterative ecological niche modeling result in the discovery of novel populations of a rare cold desert perennial
	2021

[11]	Bioclimatic Suitability of Actual and Potential Cultivation Areas for Jacaranda mimosifolia in Chinese Cities
	2021

[12]	Phytosociological and niche distribution study of Paris polyphylla smith, an important medicinal herb of Indian Himalayan region
	2021

[13]	Predicting impacts of future climate change on the distribution and ecological dimension of Amygdalus scoparia Spach
	2020

[14]	Which are the drivers that influence the performance of Ligularia sibirica populations from Romania?
	2020

[15]	基于 MaxEnt 模型模拟肯尼亚茜草科河骨木属植物的潜在分布及其在植物志中的应用初探
	2020

[16]	Prediction of habitat suitability of Morina persica L. species using artificial intelligence techniques
	2020

[17]	Potential geographical distribution and environmental explanations of rare and endangered plant species through combined modelling: A case study of Northwest …
	2020

[18]	Predicting impacts of future climate change on the distribu-tion and ecological dimension of Amyg-dalus scoparia Spach
	Italian Journal of Agrometeorology, 2020

[19]	石灰岩特有植物海南凤仙花潜在适宜生境分布模拟
	2018

[20]	Modeling the potential suitable habitat of Impatiens hainanensis, a limestone-endemic plant
	2018

[21]	DISTRIBUTION PREDICTION MODEL OF AN OVER EXPLOITED MEDICINAL PLANT (PARIS POLYPHYLLA SMITH.) IN NAGALAND, INDIA AND INTRODUCTION …
	2018

[22]	Distribution prediction model of an over exploited medicinal plant (Paris polyphylla Smith.) in Nagaland, India and introduction of new concept model (Mosaic …
	2018

[23]	Germinación in vitro de semillas de Vanilla planifolia Jacks y comparación de métodos de micropropagación.
	2017

[24]	Germinacion in vitro de semillas de Vanilla planifolia Jacks y comparacion de metodos de micropropagacion.
	Avances en …, 2017

Journals Menu

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journals Menu

Home

About SCIRP

Service

Policies