Dataset Persistent ID
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doi:10.17528/CIFOR/DATA.00193 |
Publication Date
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2019-11-20 |
Title
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SWAMP Dataset-Mangrove biomass vegetation-West Papua-2019
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Author
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Sasmito, S.D. (Charles Darwin University; Center for International Forestry Research (CIFOR))
Silanpää, M. (National University of Singapore (NUS))
Hayes, M.A. (Griffith University)
Bachri, S. (University of Papua)
Saragi-Sasmito, M.F. (Center for International Forestry Research (CIFOR))
Sidik, F. (Ministry of Maritime Affairs and Fisheries (Indonesia))
Hanggara, B. (Center for International Forestry Research (CIFOR))
Mofu, W.Y. (University of Papua)
Rumbiak, V.I. (University of Papua)
Hendri (University of Papua)
Rumbiak, M.I. (University of Papua)
Taberima, S. (University of Papua)
Suhaemi (University of Papua)
Nugroho, J.D. (University of Papua)
Pattiasina, T.F. (University of Papua)
Widagti, N. (Ministry of Maritime Affairs and Fisheries (Indonesia))
Barakalla (Conservation International Indonesia)
Rahajoe, J.S. (Indonesian Institute of Sciences (LIPI))
Hartantri, H. (Indonesian Institute of Sciences (LIPI))
Nikijuluw, V. (Conservation International Indonesia)
Jowey, R.N. (University of Papua)
Heatunubun, C. (University of Papua)
Ermgassen, P.z. (University of Edinburgh)
Worthington, T.A. (University of Edinburgh)
Howard, J. (Conservation International)
Lovelock, C.E. (The University of Queensland)
Friess, D.A. (National University of Singapore (NUS))
Hutley, L.B. (Charles Darwin University)
Murdiyarso, D. (Center for International Forestry Research (CIFOR))
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Contact
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Use email button above to contact.
Sasmito, S.D. (Charles Darwin University; Center for International Forestry Research (CIFOR))
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Description
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The dataset of above-belowground biomass of vegetation collected from mangrove forests in West Papua region, Indonesia. (2019)
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Subject
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Climate Change, Energy and low carbon development (CCE); Forest Management & Restoration (FMR)
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Keyword
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productivity (GACS) http://aims.fao.org/aos/agrovoc/c_6210
emission reduction (GACS) http://aims.fao.org/aos/agrovoc/c_331597
mangroves (GACS) http://aims.fao.org/aos/agrovoc/c_16190
ecological restoration (GACS) http://browser.agrisemantics.org/gacs/en/page/C11532
mitigation (GACS) http://id.agrisemantics.org/gacs/C3154
climate change (GACS) http://id.agrisemantics.org/gacs/C1200
tropics (GACS) http://id.agrisemantics.org/gacs/C1088
carbon stocks (GACS) http://id.agrisemantics.org/gacs/C12978
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Topic Classification
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Climate change
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Notes
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Site name: Arguni Bay, Bintuni Bay, Buruway, Etna Bay, and Kaimana City in West Papua, Indonesia Site ID: ARGU, BIN, BURU, ETNA, KAI Data collection date: 2018 Latitude: -2.599498993 Longitude: 133.59337 Country: Indonesia Land use or cover type: Undisturbed mangroves, Harvested mangrove, Regenerated mangrove, and shrimp pond Area sampled: ; Topography and elevation: Tidal estuary; Disturbance: ; Personel trained: ; Research objective(s): ; Plot design: Circular; Principal contact (name & email): Sigit D sasmito (s.sasmito@cgiar.org) Protocol used: Kauffman and Donato. 2012. Protocols for the measurement, monitoring and reporting of structure, biomass and carbon stocks in mangrove forests. Working paper 86. CIFOR; Associated publication: Sasmito SD, Silanpaa M, Hayes MA, Bachri S, Saragi-Sasmito MF, Sidik F, Hanggara B, Mofu WY, Simbiak VI, Hendri, Taberima S, Suhaemi E, Nugroho J, Patisana T, Widagti N, Barakalla, Rahayu J, Hartantri H, Nikijuluw V, Yowey RN, Heatunubun C, Ermgassen P, Worthington TA, Howard J, Lovelock CE, Friess DA, Hutley LB, Murdiyarso D. 2019. Mangrove blue carbon stocks and dynamics are controlled by hydro-geomorphic setting and land-use change. Global Change Biology; Local partner(s): ; Data available: Specific species, DBH, AGB, BGB; Latest data modification (dd/mm/yyyy): 11/15/2019;
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Language
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English
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Grant Information
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United States Agency for International Development (USAID)
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Distributor
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Center for International Forestry Research (CIFOR) https://www.cifor.org/
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Depositor
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hanggara, bayu
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Deposit Date
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2019-11-19
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Kind of Data
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survey data; assesment data; experimental data; measurement data; numeric data; observation data
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Software
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-
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