Water table depth fluctuations during ENSO phenomenon on different tropical peat swamp forest land covers in Katingan, Indonesia

International Conference on Climate Change: Challenges and Opportunity on Environment Degradation Researches

地球科学;生态环境科学

Rossita, A.^1 ; Witono, A.^1 ; Darusman, T.^1 ; Lestari, D.P.^1 ; Risdiyanto, I.^2

Katingan-Mentaya Project, Ecosystem Restoration Concession Rimba Makmur Utama Co Ltd., Kantin Street No.8, Central Bogor, Bogor City, West Java

16121, Indonesia^1

Department of Geophysics and Meteorology, Faculty of Mathematics and Natural Science, Bogor Agricultural University (IPB), IPB Dramaga Campus, FMIPA Building, Wing 19, Dramaga Street, Bogor, West Java

16680, Indonesia^2

关键词: Climate variability;    CO2 emissions;    ENSO indices;    Human intervention;    Hydrological functions;    Peat swamp forests;    Southern oscillation;    Water table depths;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/129/1/012001/pdf
DOI  :  10.1088/1755-1315/129/1/012001

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

As it is the main role to maintain hydrological function, peatland has been a limelight since drainage construction for agriculture evolved. Drainage construction will decrease water table depth (WTD) and result in CO2emission release to the atmosphere. Regardless of human intervention, WTD fluctuations can be affected by seasonal climate and climate variability, foremost El Niño Southern Oscillation (ENSO). This study aims to determine the correlation between rainfall in Katingan and ENSO index, analyze the pattern of WTD fluctuation of open area and forest area in 2015 (during very strong El Niño) and 2016 (during weak La Niña), calculate the WTD trendline slope during the dry season, and rainfall and WTD correlation. The result showed that open area has a sharper slope of decreasing or increasing WTD when entering the dry, compared to the forest area. Also, it is found that very strong El Niño in 2015 generated a pattern of more extreme decreasing WTD during the dry season than weak La Niña in 2016.