Relative abundance, activity pattern and habitat suitability of Great Argus (Argusianus argus grayi) in Sungai Wain Protected Forest, Balikpapan, East Kalimantan

Great Argus (Argusianus argus) is a globally threatened species that is protected by law in Indonesia. This species is a habitat specialist that tends to be confined to primary forests and is susceptible to human disturbance and environmental change. Sungai Wain Protected Forest (SWPF) is an isolat...

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Main Authors: Hanny Ramadhanti, Dyah Perwitasari-Farajallah, Yeni Aryati Mulyani, Puji Rianti
Format: Article
Language:English
Published: Bogor Agricultural University 2025-01-01
Series:Hayati Journal of Biosciences
Online Access:https://journal.ipb.ac.id/index.php/hayati/article/view/57112
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author Hanny Ramadhanti
Dyah Perwitasari-Farajallah
Yeni Aryati Mulyani
Puji Rianti
author_facet Hanny Ramadhanti
Dyah Perwitasari-Farajallah
Yeni Aryati Mulyani
Puji Rianti
author_sort Hanny Ramadhanti
collection DOAJ
description Great Argus (Argusianus argus) is a globally threatened species that is protected by law in Indonesia. This species is a habitat specialist that tends to be confined to primary forests and is susceptible to human disturbance and environmental change. Sungai Wain Protected Forest (SWPF) is an isolated lowland rainforest in Kalimantan. The rising deforestation rate has threatened species sustainability in recent decades, including the Great Argus in SWPF. This study aimed to systematically analyze camera trap data on the Great Argus's abundance, activity patterns, and habitat suitability prediction in SWPF. We used camera trap data from 2018-2022 at the SWPF. Great Argus's lowest relative abundance index was in 2020, and the highest was in 2022. Overall, the relative abundance index of the Great Argus was approximately 3.125 independent events per 100-day trap night. The activity pattern of the Great Argus started at dawn and then constantly decreased until dusk. The habitat suitability prediction for the Great Argus was mostly in primary forests. Distance to road and building were the variables that contributed the most to the results of habitat suitability modeling. Habitat loss and suitability are the determining factors for the sustainability of significant argus populations.
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institution Kabale University
issn 1978-3019
2086-4094
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publishDate 2025-01-01
publisher Bogor Agricultural University
record_format Article
series Hayati Journal of Biosciences
spelling doaj-art-7d3ae76f450549c391376bd4526c9e232025-01-08T09:00:38ZengBogor Agricultural UniversityHayati Journal of Biosciences1978-30192086-40942025-01-0132210.4308/hjb.32.2.507-515Relative abundance, activity pattern and habitat suitability of Great Argus (Argusianus argus grayi) in Sungai Wain Protected Forest, Balikpapan, East KalimantanHanny Ramadhanti0Dyah Perwitasari-Farajallah1Yeni Aryati Mulyani2Puji Rianti3Animal Biosciences Study Program, Graduate School, IPB University, Dramaga Campus, Bogor 16680, IndonesiaDepartement of Biology, Faculty of Mathematics and Natural Science, IPB University, Dramaga Campus, Bogor 16680, IndonesiaDepartement of Forest Resources Conservation and Ecotourism, Faculty of Forestry and Environment, IPB University, Dramaga Campus, Bogor 16680, IndonesiaDepartement of Biology, Faculty of Mathematics and Natural Science, IPB University, Dramaga Campus, Bogor 16680, Indonesia Great Argus (Argusianus argus) is a globally threatened species that is protected by law in Indonesia. This species is a habitat specialist that tends to be confined to primary forests and is susceptible to human disturbance and environmental change. Sungai Wain Protected Forest (SWPF) is an isolated lowland rainforest in Kalimantan. The rising deforestation rate has threatened species sustainability in recent decades, including the Great Argus in SWPF. This study aimed to systematically analyze camera trap data on the Great Argus's abundance, activity patterns, and habitat suitability prediction in SWPF. We used camera trap data from 2018-2022 at the SWPF. Great Argus's lowest relative abundance index was in 2020, and the highest was in 2022. Overall, the relative abundance index of the Great Argus was approximately 3.125 independent events per 100-day trap night. The activity pattern of the Great Argus started at dawn and then constantly decreased until dusk. The habitat suitability prediction for the Great Argus was mostly in primary forests. Distance to road and building were the variables that contributed the most to the results of habitat suitability modeling. Habitat loss and suitability are the determining factors for the sustainability of significant argus populations. https://journal.ipb.ac.id/index.php/hayati/article/view/57112
spellingShingle Hanny Ramadhanti
Dyah Perwitasari-Farajallah
Yeni Aryati Mulyani
Puji Rianti
Relative abundance, activity pattern and habitat suitability of Great Argus (Argusianus argus grayi) in Sungai Wain Protected Forest, Balikpapan, East Kalimantan
Hayati Journal of Biosciences
title Relative abundance, activity pattern and habitat suitability of Great Argus (Argusianus argus grayi) in Sungai Wain Protected Forest, Balikpapan, East Kalimantan
title_full Relative abundance, activity pattern and habitat suitability of Great Argus (Argusianus argus grayi) in Sungai Wain Protected Forest, Balikpapan, East Kalimantan
title_fullStr Relative abundance, activity pattern and habitat suitability of Great Argus (Argusianus argus grayi) in Sungai Wain Protected Forest, Balikpapan, East Kalimantan
title_full_unstemmed Relative abundance, activity pattern and habitat suitability of Great Argus (Argusianus argus grayi) in Sungai Wain Protected Forest, Balikpapan, East Kalimantan
title_short Relative abundance, activity pattern and habitat suitability of Great Argus (Argusianus argus grayi) in Sungai Wain Protected Forest, Balikpapan, East Kalimantan
title_sort relative abundance activity pattern and habitat suitability of great argus argusianus argus grayi in sungai wain protected forest balikpapan east kalimantan
url https://journal.ipb.ac.id/index.php/hayati/article/view/57112
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