Shows the variables that contribute significantly to the MAXENT models fitted for <i>Tamarix aphylla</i>.

Shows the variables that contribute significantly to the MAXENT models fitted for <i>Tamarix aphylla</i>.

<p>Shows the variables that contribute significantly to the MAXENT models fitted for <i>Tamarix aphylla</i>.</p>

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Bibliographic Details
Main Author:	Majid Hussain (7489709) (author)
Other Authors:	Hassan Akhtar (20489726) (author), Zafeer Saqib (12841673) (author), Muhammad Tayyab Khan (11414433) (author), Zarak Khan Afridi (20489729) (author), Hasnain Afzal (20489732) (author), Ume Habiba (9993558) (author), Sangam Khalil (9993570) (author), Ghulam Raza (11340153) (author), Hamid Ur Rahman (20489735) (author), Sher Shah (10834301) (author), Muhammad Sohail Yousaf (18806096) (author), Tahani Awad Alahmadi (5927639) (author)
Published:	2024
Subjects:	Ecology Plant Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified tropical thorn forests receiver operating characteristics implement proven long field survey based div >< p tropical thorn forest implementing conservation approaches effective conservation planning 20 sample plots understand habitat suitability habitat suitability modeling habitat loss presents study also presents 19 bioclimatic variables tamarix aphylla </ salvadora oleoides </ tree species separately habitat suitability habitat loss bioclimatic variables oleoides </ aphylla </ tree species sample plot forest trees conservation techniques conservation status environmental variables term management study showed results highlight resource allocation raise awareness predicted using potential distribution mean temperature maxent software maxent model jackknife test endangered species distributed irregularly concerted efforts bahawalpur subdivision bahawalpur sub
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