Vulnerability of Primary Productivity and Its Carbon Use Efficiency to Unfavorable Climatic Conditions in Jambi Province, Indonesia


  • Ummu Ma'rufah Agrometeorology Division, Department of Geophysics and Meteorology, Faculty of Mathematics and Natural Sciences, IPB University, Campus IPB Dramaga, Indonesia
  • Tania June Agrometeorology Division, Department of Geophysics and Meteorology, Faculty of Mathematics and Natural Sciences, IPB University, Campus IPB Dramaga, Indonesia
  • Ashehad Ashween Ali Bioclimatology, Faculty of Forest Science, University of G?ttingen, Gttingen
  • Akhmad Faqih Agrometeorology Division, Department of Geophysics and Meteorology, Faculty of Mathematics and Natural Sciences, IPB University, Campus IPB Dramaga, Indonesia
  • Yonny Koesmaryono Agrometeorology Division, Department of Geophysics and Meteorology, Faculty of Mathematics and Natural Sciences, IPB University, Campus IPB Dramaga, Indonesia
  • Christian Stiegler Bioclimatology, Faculty of Forest Science, University of G?ttingen, Gttingen, Germany
  • Alexander Knohl Bioclimatology, Faculty of Forest Science, University of G?ttingen, Gttingen



CUEl latent heat, ENSO, land use, NPP, sensible heat


Climatic conditions and land cover play crucial roles in influencing the process of carbon uptake through vegetation. This study aimed to analyze the effect of climate variability on carbon uptake of four different land covers in Jambi Province, Indonesia. The four land cover types studied were: forest, shrub, grass, and irrigated soybean, based on Community Land Model version 5. Forest was found to have the highest net primary production (NPP) compared to the other land covers. Seasonal climate variability showed no major effect on NPP and gross primary production (GPP). However, GPP and NPP experienced significant declines during El Ni Southern Oscillation (ENSO), particularly in 2015. Carbon use efficiency (CUE=NPP/GPP) was also affected by ENSO, where CUE decreased during El Ni, particularly in October and November with an increased number of days without rainfall. In addition, the difference between latent (LE) and sensible heat (H) flux, denoted as (LE-H), decreased from August to November. This difference was highly correlated with NPP. This result indicates that when water supply is low, stomata will close, thereby reducing photosynthesis and transpiration, and allocating more of the available energy to sensible heat flux rather than latent heat flux.


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