Open access Jurnal
JENIS-JENIS EPIFIT DAN POHON INANGNYA DI KAWASAN HUTAN CAGAR ALAM NAPABALANO KABUPATEN MUNA
AMPIBI: Jurnal Alumni Pendidikan Biologi · Vol. 5 No. 4 (2022) · pp. 151–157
- ISSN
- 2723-6846, 2527-6735
- Published
- 2022-10-28
- Publisher
- FKIP Universitas Halu Oleo
- Language
- eng
Abstract
Penelitian ini bertujuan mengetahui jenis-jenis tumbuhan epifit dan pohon inang di kawasan Hutan Cagar Alam Napabalano Kabupaten Muna Provinsi Sulawesi Tenggara. Metode yang digunakan adalah metode eksplorasi dengan teknik jelajah. Teknik analisis data secara deskriptif. Hasil penelitian ditemukan 16 spesies epifit, 9 spesies dari familia Orchidaceae dan 7 spesies dari familia Polypodiaceae dan 10 spesies pohon inang dari 10 familia. Pohon inang yang banyak berasosiasi dengan epifit adalah Tectona grandis, kemudian Elmerillia celebica Dandy sedangkan pohon inang yang sedikit berasosiasi epifit yaitu Shorea koordesii Bl, Ficus benjamina L., Eucalyptus deglupta Bl., Pterocarpus indicus Willd., Anthocephalus cadamba Miq., Schleichera oleosa Lour., dan Pterospermum javanicum Jungh., rata-rata ditempati 1 spesies epifit. Epifit yang banyak berasosisi dengan pohon inang yaitu dari genus Cymbidium dengan 5 spesies pohon dan genus Drynaria dengan 4 spesies pohon, sedangkan epifit yang sedikit berasosiasi dengan pohon inang yaitu Acriopsis javanica Reinw., Aerides odorata Lour., Davallia denticulate (Brum.) Mett., Drymoglossum piloselloides (Linn.) Pr., Elaphoglossum rimbachii J., Nepholepis falcata (Cap.) C. Chr. Pomatocalpa kunstleri (Hk.f) J.J.S., Phalaeonepsis denevei J.J.S., Phymatodes scolopendria (Burm. F.) Ching., Schoenorchis juncifolia Bl., Thrixspermum formolnum (Bl.) Rehbf., dan Vanda limbata Bl., yang masing-masing berasosiasi dengan 1 spesies pohon.
Keywords
Collaboration network of the authors
40 authors · 96 co-authorship links · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Universitas Halu Oleo
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| M Sirih | Affiliation unknown | 9 |
| Ahdiat Agriansyah | Affiliation unknown | 5 |
| Jahidin Jahidin | Affiliation unknown | 5 |
| Damhuri Damhuri | Affiliation unknown | 5 |
| Hittah Wahi Sudrajat | Affiliation unknown | 4 |
| Suarna Samai | Affiliation unknown | 4 |
| Nur Arfa Yanti | Affiliation unknown | 3 |
| La Kolaka | Universitas Halu Oleo | 3 |
| Murni Sabilu | Universitas Halu Oleo | 3 |
| Parakkasi Parakkasi | Affiliation unknown | 2 |
| Pallawagau Sappaile | Affiliation unknown | 2 |
| Muhammad Sirih | Universitas Halu Oleo | 2 |
| Akmalsyah Akmalsyah | Affiliation unknown | 2 |
| HM Sirih | Affiliation unknown | 2 |
| Muh. Sirih | Affiliation unknown | 2 |
| Nurul Adha H | Affiliation unknown | 2 |
| Amiruddin Amiruddin | Affiliation unknown | 2 |
| Muhammad Aswan Aswan | Affiliation unknown | 1 |
| Mariati Mariati | Affiliation unknown | 1 |
| Maryce Agusthinus Walukou | Universitas Halu Oleo | 1 |
| Arvida Arvida | Affiliation unknown | 1 |
| Nursamdiyanti Nursamdiyanti | Affiliation unknown | 1 |
| Harpa Pria Gawaksa | Affiliation unknown | 1 |
| Muh Syahruramadhan | Affiliation unknown | 1 |
| Narsa Narsa | Affiliation unknown | 1 |
| Harfina Harfina | Affiliation unknown | 1 |
| Wa Ode Rahma Iziah. A | Affiliation unknown | 1 |
| Reza Ighnas Adhi Jaya Rindra | Affiliation unknown | 1 |
| Astaliati Astaliati | Affiliation unknown | 1 |
| Muh Ikbal | Affiliation unknown | 1 |
| Ratna Ratna | Affiliation unknown | 1 |
| Sri Wahyuningsi Dwi Astuti | Affiliation unknown | 1 |
| Saprin Saprin | Affiliation unknown | 1 |
| Rasna Hengki | Affiliation unknown | 1 |
| Nuning Martianingsih | Affiliation unknown | 1 |
| Sarina Sarina | Affiliation unknown | 1 |
| Nazlan Ramli Saputra | Affiliation unknown | 1 |
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.