Predictive modeling and mapping of Malayan Sun Bear (Helarctos malayanus) distribution using maximum entropy.

One of the available tools for mapping the geographical distribution and potential suitable habitats is species distribution models. These techniques are very helpful for finding poorly known distributions of species in poorly sampled areas, such as the tropics. Maximum Entropy (MaxEnt) is a recentl...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Mona Nazeri, Kamaruzaman Jusoff, Nima Madani, Ahmad Rodzi Mahmud, Abdul Rani Bahman, Lalit Kumar
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/66ce8c9f286743eea0383731ab8e1ec2
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:66ce8c9f286743eea0383731ab8e1ec2
record_format	dspace
spelling	oai:doaj.org-article:66ce8c9f286743eea0383731ab8e1ec22021-11-18T08:11:16ZPredictive modeling and mapping of Malayan Sun Bear (Helarctos malayanus) distribution using maximum entropy.1932-620310.1371/journal.pone.0048104https://doaj.org/article/66ce8c9f286743eea0383731ab8e1ec22012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23110182/?tool=EBIhttps://doaj.org/toc/1932-6203One of the available tools for mapping the geographical distribution and potential suitable habitats is species distribution models. These techniques are very helpful for finding poorly known distributions of species in poorly sampled areas, such as the tropics. Maximum Entropy (MaxEnt) is a recently developed modeling method that can be successfully calibrated using a relatively small number of records. In this research, the MaxEnt model was applied to describe the distribution and identify the key factors shaping the potential distribution of the vulnerable Malayan Sun Bear (Helarctos malayanus) in one of the main remaining habitats in Peninsular Malaysia. MaxEnt results showed that even though Malaysian sun bear habitat is tied with tropical evergreen forests, it lives in a marginal threshold of bio-climatic variables. On the other hand, current protected area networks within Peninsular Malaysia do not cover most of the sun bears potential suitable habitats. Assuming that the predicted suitability map covers sun bears actual distribution, future climate change, forest degradation and illegal hunting could potentially severely affect the sun bear's population.Mona NazeriKamaruzaman JusoffNima MadaniAhmad Rodzi MahmudAbdul Rani BahmanLalit KumarPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 10, p e48104 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Mona Nazeri Kamaruzaman Jusoff Nima Madani Ahmad Rodzi Mahmud Abdul Rani Bahman Lalit Kumar Predictive modeling and mapping of Malayan Sun Bear (Helarctos malayanus) distribution using maximum entropy.
description	One of the available tools for mapping the geographical distribution and potential suitable habitats is species distribution models. These techniques are very helpful for finding poorly known distributions of species in poorly sampled areas, such as the tropics. Maximum Entropy (MaxEnt) is a recently developed modeling method that can be successfully calibrated using a relatively small number of records. In this research, the MaxEnt model was applied to describe the distribution and identify the key factors shaping the potential distribution of the vulnerable Malayan Sun Bear (Helarctos malayanus) in one of the main remaining habitats in Peninsular Malaysia. MaxEnt results showed that even though Malaysian sun bear habitat is tied with tropical evergreen forests, it lives in a marginal threshold of bio-climatic variables. On the other hand, current protected area networks within Peninsular Malaysia do not cover most of the sun bears potential suitable habitats. Assuming that the predicted suitability map covers sun bears actual distribution, future climate change, forest degradation and illegal hunting could potentially severely affect the sun bear's population.
format	article
author	Mona Nazeri Kamaruzaman Jusoff Nima Madani Ahmad Rodzi Mahmud Abdul Rani Bahman Lalit Kumar
author_facet	Mona Nazeri Kamaruzaman Jusoff Nima Madani Ahmad Rodzi Mahmud Abdul Rani Bahman Lalit Kumar
author_sort	Mona Nazeri
title	Predictive modeling and mapping of Malayan Sun Bear (Helarctos malayanus) distribution using maximum entropy.
title_short	Predictive modeling and mapping of Malayan Sun Bear (Helarctos malayanus) distribution using maximum entropy.
title_full	Predictive modeling and mapping of Malayan Sun Bear (Helarctos malayanus) distribution using maximum entropy.
title_fullStr	Predictive modeling and mapping of Malayan Sun Bear (Helarctos malayanus) distribution using maximum entropy.
title_full_unstemmed	Predictive modeling and mapping of Malayan Sun Bear (Helarctos malayanus) distribution using maximum entropy.
title_sort	predictive modeling and mapping of malayan sun bear (helarctos malayanus) distribution using maximum entropy.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/66ce8c9f286743eea0383731ab8e1ec2
work_keys_str_mv	AT monanazeri predictivemodelingandmappingofmalayansunbearhelarctosmalayanusdistributionusingmaximumentropy AT kamaruzamanjusoff predictivemodelingandmappingofmalayansunbearhelarctosmalayanusdistributionusingmaximumentropy AT nimamadani predictivemodelingandmappingofmalayansunbearhelarctosmalayanusdistributionusingmaximumentropy AT ahmadrodzimahmud predictivemodelingandmappingofmalayansunbearhelarctosmalayanusdistributionusingmaximumentropy AT abdulranibahman predictivemodelingandmappingofmalayansunbearhelarctosmalayanusdistributionusingmaximumentropy AT lalitkumar predictivemodelingandmappingofmalayansunbearhelarctosmalayanusdistributionusingmaximumentropy
_version_	1718422111261818880

Predictive modeling and mapping of Malayan Sun Bear (Helarctos malayanus) distribution using maximum entropy.

Ejemplares similares