Jurnal
Potensi Penyerapan Karbon Pada Padang Lamun (Seagrass) Di Teluk Youtefa Kota Jayapura, Papua
ACROPORA: Jurnal Ilmu Kelautan dan Perikanan Papua · Vol. 4 No. 1 (2021)
- ISSN
- 2622-6561, 2685-1865
- Published
- 2021-09-01
- Publisher
- Cenderawasih University
- Language
- eng
Abstract
Climate change has been global warming as greenhouse gas emissions (GHG) caused by increased emissions of gases such as carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), and chlorofluorocarbons (CFC) so that solar energy is trapped in the earth's atmosphere. Various efforts have been made to reduce the impact of climate change, one of which is by utilizing the oceans and coastal ecosystems as natural CO2 sinks. The purpose of this study was to determine the density, carbon sequestration in biomass and the habitat conditions of seagrass beds conducted in March 2021 in Youtefa Bay, Jayapura Papua. Seagrass density was carried out using the quadrant transect method, carbon content analysis was carried out using the ashing method. The results of the study found 1 species of seagrass, namely Enhalus acoroides, the density values ranged from 85.69 ind/m² - 102.56 ind/m². the value of biomass under the substrate ranged from 3321.75 - 3580.75 gbk/m² which was greater than the value of the biomass above the substrate, which ranged from 720.19 to 955.79 gbk/m², followed by the value of the carbon content under the substrate (roots and rhizomes) ranged from 87.30 – 96.92 g C/m² while the value of carbon content above the substrate (leaf) ranged from 35.99 – 44.84 g C/m². The total carbon stock in Youtefa Bay waters, Jayapura City, Papua ranges from 4859.38 – 6687.89 tons/ha.Key Words: Biomass; Carbon Content; Carbon Sequestration; Ashing Method; Youtefa Bay
Collaboration network of the authors
40 authors · 150 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.
- State University of Semarang
- 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 |
|---|---|---|
| Popi Ida Laila Ayer | Affiliation unknown | 7 |
| Kalvin Paiki | Affiliation unknown | 5 |
| Efray Wanimbo | Affiliation unknown | 5 |
| Vera K. Mandey | Affiliation unknown | 4 |
| Lisiard Dimara | Affiliation unknown | 4 |
| Maklon Warpur | Affiliation unknown | 3 |
| Ervina Indrayani | Affiliation unknown | 3 |
| Lolita Tuhumena | Affiliation unknown | 3 |
| Kristhopolus K. Rumbiak | Affiliation unknown | 3 |
| Rosye H.R. Tanjung | Affiliation unknown | 3 |
| Khristhoper Aris. A Manalu | Affiliation unknown | 2 |
| Octolia Togibasa | Affiliation unknown | 2 |
| Tri Gunaedi | Affiliation unknown | 1 |
| Suprapto Surapto | Affiliation unknown | 1 |
| Johnson Siallagan | Affiliation unknown | 1 |
| Indah D. Setyowati | Affiliation unknown | 1 |
| Auldry F. Walukow | Affiliation unknown | 1 |
| Novita Medyati | Affiliation unknown | 1 |
| GOLDA NORA SITUMORANG | Affiliation unknown | 1 |
| VIRMAN VIRMAN | Affiliation unknown | 1 |
| ELVI RAPILUS | Affiliation unknown | 1 |
| Puji Rahayu | State University of Semarang | 1 |
| IRFAN WAHYUDI | Affiliation unknown | 1 |
| Alfred Antoh | Affiliation unknown | 1 |
| M. Wahyu Puji Utama | Affiliation unknown | 1 |
| Baigo Hamuna | Affiliation unknown | 1 |
| John Dominggus Kalor | Affiliation unknown | 1 |
| Betinia Susanti Runggamusi | Affiliation unknown | 1 |
| Janpiter Manalu | Affiliation unknown | 1 |
| Kristoper A. A. Manalu | Affiliation unknown | 1 |
| Tamara L.J. Kainama | Affiliation unknown | 1 |
| Marcelino N. Yonas | Affiliation unknown | 1 |
| Vyona Mantayborbir | Affiliation unknown | 1 |
| Popi Ayer | Affiliation unknown | 1 |
| Iriani Ira Bukorpioper | Affiliation unknown | 1 |
| Lalu Panji I. Agamawan | Affiliation unknown | 1 |
| Muhammad Hisyam | 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.