Claim Missing Document
Check
Articles

Water Use Efficiency and Adaptive Responses of Oil Palm under El Niño-Induced Drought and Haze Rinandyta, Kharisma; June, Tania
Agromet Vol. 39 No. 2 (2025): DECEMBER 2025
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.39.2.86-94

Abstract

Oil palm plays an important role in the tropical carbon cycle but is highly sensitive to climatic variability. Understanding the coupled dynamics of carbon and water fluxes in such ecosystems essential for sustainable management under variable climatic conditions. This study analyses the Water Use Efficiency (WUE) and coupled carbon–water fluxes of an 18-year-old oil palm plantation in Jambi, Indonesia, during the 2015 El Niño event using data from an eddy covariance flux tower. The analysis focused on the diurnal variations of Net Ecosystem Production (NEP), evapotranspiration (ET), and water use efficiency (WUE) during wet, dry, and dry with haze periods, which were determined based on rainfall data. Our results show that WUE reached its highest value during the dry-with-haze period (7,484 g CO₂ kg⁻¹ H₂O), more than double that of the wet (3,440) and dry (3,347) periods. This increase resulted from reduced evapotranspiration (ET) due to stomatal regulation, despite lower Net Ecosystem Production (NEP) caused by light limitation from haze.  Diurnal analyses showed WUE peaking in the morning and declining at midday as the Vapor Pressure Deficit (VPD) increased (up to 0.88 kPa under haze). These findings highlight oil palm’s adaptive strategy to conserve water under stress while maintaining productivity. However, severe haze markedly weakens carbon sequestration. The results provide critical insights for optimizing irrigation and water management in the face of increasing climate variability.
INTEGRATION OF NPP SEMI MECHANISTIC - MODELLING, REMOTE SENSING AND CIS IN ESTIMATING CO2 ABSORPTION OF FOREST VEGETATION IN LORE LINDU NATIONAL PARK JUNE, TANIA; IBROM, ANDREAS; GRAVENHORsr
BIOTROPIA Vol. 13 No. 1 (2006): BIOTROPIA Vol. 13 No. 1 June 2006
Publisher : SEAMEO BIOTROP

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1126.457 KB) | DOI: 10.11598/btb.2006.13.1.217

Abstract

Net Primary Production, NPP, is one of the most important variables characterizing the performance of an ecosystem. It is the difference between the total carbon uptake from the air through photosynthesis and the carbon loss due to respiration by living plants. However, field measurements of NPP are time-consuming and expensive. Current techniques are therefore not useful for obtaining NPP estimates over large areas. By combining the remote sensing and GIS technology and modelling, we can estimate NPP of a large ecosystem with a little ease. This paper discusses the use of a process based physiological sunshade canopy models in estimating NPP of Lore Lindu National Park (LLNP). The discussion includes on how to parameterize the models and how to scale up from leaf to the canopy. The version documented in this manuscript is called NetPro Model, whicha potential NPP model where water effect is not included yet. The model integrates CIS and the use of Remote Sensing, and written in Visual Basic 6.0 programming language and Map Objects 2.1. NetPro has the capability of estimating NPP of Cs vegetation under present environmental condition and under future scenarios (increasing [CO2], increasing temperature and increasing or decreasing leaf nitrogen level). Based on site-measured parameterisation of VaM* (Photosynthetic capacity), /JjRespiration) and leaf nitrogen ONi), the model was run under increasing CO2 level and temperature and varied leaf nitrogen. The output of the semi-mechanistic modelling is radiation use efficiency (?). Analysis of remote sensing data give Normalized Difference Vegetation Index (NDVI) and related Leaf Area Index (LAI) and traction of absorbed Photosynthetically Active Radiation (/M>AK). Climate data are obtained from 12 meteorological stations around die parks, which includes global radiations, minimum and maximum temperature. CO2 absorbed by vegetation (Gross Primary Production, GPP) is then calculated using the above variables and parameters with the following equation:estimating NPP, while ecosystem respiration is set as a function of temperature for estimating NEE. Under present condition, the net absorption of CO> by the vegetation of Lore Lindu National Park (NPP) is 1330.31 gCm"2year"' and at double CO2 and temperature increased of 3.5 "C, it increased by 23 %, reaching 1638.80 gCm'2 year'1.Key words : NPP Semi-mechanistic model, photosynthesis, carbon sequestration, net primary-production, tropical forest
Co-Authors ,, Impron - Sutanto ABDUL RAUF Ade Irawan Ahmad Bey Ahmad Bey Ahmad Faqih Akhmad Faqih Alexander Knohl Alexander Knohl Alexander Knohl Ali, Ashehad Aswen Ana Meijide Ana Turyanti Andi Safitri Sacita Ani Iryani Antonius B. W. Ari Suharto Aris Pramudia Aris Pramudia Artika Ashehad Ashween Ali Bambang Sapto P Budi Kartiwa Christian Stiegler Christian Stiegler Christian Stiegler Dhohir, Nur Muhammad Abdul Dodik Ridho Nurrochmat Dyah Lukita Sari, Dyah Lukita Edvin Aldrian Eleonora Runtunuwu Eleonora Runtunuwu Elza Surmaini Erliza Noor Felia Rizky Aulia G. Gravenhorst GRAVENHORsr Hadi Susilo Arifin Handoko Handoko Hariyadi, Hariyadi Haruna Herlina Ika Ratnawati Hermawan, Rachmad Hidayat Pawitan I Wayan Astika IBROM, ANDREAS Impron Impron Irsal Las Iryani, Ani Kharmila S. Hariyanti Kii, Meriana Ina Knohl, Alexander M. Ardiansyah M. BL. de Rozari Ma'rufah, Ummu Misnawati, Misnawati Moh. Yani Mubarak, Syahrun Mujito Mujito Naimatu Solicha Nasibatul Mahmudah Ni Wayan Srimani Puspa Dewi Ni Wayan Srimani Puspa Dewi P. Perdinan Pradiko, Iput Rahmat Hidayat Rahmat Hidayat Rahmat Hidayat Resti Salmayenti Retno Larasati Rinandyta, Kharisma Rini Hidayati Rita Nurmalina Rizaldi Boer Salis Deris Artikanur Santikayasa, I Putu Sarvina, Yeli Siti Nadia Nurul Azizah Sonya Dewi Suman Sangadji Suria Darma Tarigan Surjono Hadi Sutjahjo Surmaini, Elza Sutanto, - Syaiful Anwar Tommy Harianto Tsamarah Nada Saninah Ummu Ma'rufah Ummu Ma'rufah Vivi Fitriani Vonny Koesmaryono Wido Hanggoro Yeli Sarvina Yon Sugiarto Yon Sugiarto Yonni Koesmaryono Yonny Koesmaryono Yudha Kristanto Yudi Riadi FanggidaE Yudi Setiawan Za’immatul Mu’allimah