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Roosting Selection by Red and Blue Lory (Eos histrio Muller, 1776) in Karakelang Island North Sulawesi

Jurnal Penelitian Kehutanan Wallacea · Vol. 6 No. 1 (2017) · pp. 61–71

DOI
10.18330/jwallacea.2017.vol6iss1pp61-71
ISSN
2407-7860, 2302-299X
Published
2017-03-31
Publisher
Foresty Faculty of Hasanuddin University
Language
en

Abstract

The Red and blue lory is an endemic parrot species from Talaud Islands, North Sulawesi. The use of existing resources is suspected that occurs of selection including the roosting trees. The research aims to identifying the characteristics of Red and Blue Lory roost tree and determining variables in its selection. We measured 14 variables to identify the characteristics and selection of roost tree. Mann-Whitney test, T-test, Chi-sqare test and Binary Logistic Regression were employed to analyze data. We detected 11 roost trees in study field, there are Gehe (Pometia coriacea Radkl) nine individual, Binsar (Ficus variegata) and Lawean (Sterculia sp) one individual. The Chi-square test identified five variables which related to roost tree selection, i.e; branch-free bole length, canopy diameter, canopy density and the number of trees around the roost tree on diameter 20 - 40 cm and gt; 41 cm. The Logistic regression analysis detected three variables that gave the most influence on roost tree selection, but branch-free bole length gave the most influence on roost tree selection.

Keywords

Collaboration network of the authors

19 authors · 51 co-authorship links

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Co-authorOrganisationJoint articles
Satya Agustina LaksanannyAffiliation unknown2
Ris Hadi PurwantoAffiliation unknown2
Much. Taufiq Tri HermawanAffiliation unknown1
Nurlita Indah WahyuniAffiliation unknown1
Ronggo SadonoAffiliation unknown1
Herawikan MandiriatiAffiliation unknown1
Djoko MarsonoAffiliation unknown1
satya laksanannyAffiliation unknown1
Muh. Taufik Tri HermawanAffiliation unknown1
Lies Rahayu Wijayanti FaidaAffiliation unknown1
Arni SyawalAffiliation unknown1
Elieser Viktor SiramiAffiliation unknown1
Esti Gesang SetyadiAffiliation unknown1
Pratita PuradyatmikaAffiliation unknown1
Rendy Enggar SuwandiAffiliation unknown1
Muhammad Ali ImronAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/wallacea/oai, first harvested 2 Nov 2026, last seen 2 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Roosting Selection by Red and Blue Lory (Eos histrio Muller, 1776)  in Karakelang Island North Sulawesi</dc:title>
	<dc:creator xml:lang="en">Arini, Diah Irawati Dwi </dc:creator>
	<dc:creator xml:lang="en">Pudyatmoko, Satyawan </dc:creator>
	<dc:creator xml:lang="en"> Poedjirahajoe, Erny</dc:creator>
	<dc:subject xml:lang="en">Red and Blue Lories</dc:subject>
	<dc:subject xml:lang="en">Roost tree</dc:subject>
	<dc:subject xml:lang="en">Karakelang</dc:subject>
	<dc:subject xml:lang="en">Logistic regression</dc:subject>
	<dc:subject xml:lang="en">Selection</dc:subject>
	<dc:description xml:lang="en">The Red and blue lory is an endemic parrot species from Talaud Islands, North Sulawesi. The use of existing resources is suspected that occurs of selection including the roosting trees. The research aims to identifying the characteristics of Red and Blue Lory roost tree and determining variables in its selection. We measured 14 variables to identify the characteristics and selection of roost tree. Mann-Whitney test, T-test, Chi-sqare test and Binary Logistic Regression were employed to analyze data. We detected 11 roost trees in study field, there are Gehe (Pometia coriacea Radkl) nine individual, Binsar (Ficus variegata) and Lawean (Sterculia sp) one individual. The Chi-square test identified five variables which related to roost tree selection, i.e; branch-free bole length, canopy diameter, canopy density and the number of trees around the roost tree on diameter 20 - 40 cm and gt; 41 cm. The Logistic regression analysis detected three variables that gave the most influence on roost tree selection, but branch-free bole length gave the most influence on roost tree selection.</dc:description>
	<dc:publisher xml:lang="en">Foresty Faculty of Hasanuddin University</dc:publisher>
	<dc:date>2017-03-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/wallacea/article/view/26074</dc:identifier>
	<dc:identifier>10.18330/jwallacea.2017.vol6iss1pp61-71</dc:identifier>
	<dc:source xml:lang="en">Jurnal Penelitian Kehutanan Wallacea; Vol. 6 No. 1 (2017); 61-71</dc:source>
	<dc:source>2407-7860</dc:source>
	<dc:source>2302-299X</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/wallacea/article/view/26074/9495</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2017 Jurnal Penelitian Kehutanan Wallacea</dc:rights>
</oai_dc:dc>