Estimating gross primary productivity of a tropical forest ecosystem over north-east India using LAI and meteorological variables

被引:0
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作者
Pramit Kumar Deb Burman
Dipankar Sarma
Mathew Williams
Anandakumar Karipot
Supriyo Chakraborty
机构
[1] Indian Institute of Tropical Meteorology,Centre for Climate Change Research
[2] Tezpur University,Department of Environmental Sciences
[3] University of Edinburgh,School of Geosciences
[4] Savitribai Phule Pune University,Department of Atmospheric and Space Sciences
来源
Journal of Earth System Science | 2017年 / 126卷
关键词
Gross primary productivity (GPP); leaf area index (LAI); aggregated canopy model (ACM); Moderate Resolution Imaging Spectroradiometer (MODIS); tropical forest; MetFlux India;
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摘要
Tropical forests act as a major sink of atmospheric carbon dioxide, and store large amounts of carbon in biomass. India is a tropical country with regions of dense vegetation and high biodiversity. However due to the paucity of observations, the carbon sequestration potential of these forests could not be assessed in detail so far. To address this gap, several flux towers were erected over different ecosystems in India by Indian Institute of Tropical Meteorology as part of the MetFlux India project funded by MoES (Ministry of Earth Sciences, Government of India). A 50 m tall tower was set up over a semi-evergreen moist deciduous forest named Kaziranga National Park in north-eastern part of India which houses a significant stretch of local forest cover. Climatically this region is identified to be humid sub-tropical. Here we report first generation of the in situ meteorological observations and leaf area index (LAI) measurements from this site. LAI obtained from NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) is compared with the in situ measured LAI. We use these in situ measurements to calculate the total gross photosynthesis (or gross primary productivity, GPP) of the forest using a calibrated model. LAI and GPP show prominent seasonal variation. LAI ranges between 0.75 in winter to 3.25 in summer. Annual GPP is estimated to be 2.11kg Cm-2year-1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$2.11\,\hbox {kg C m}^{-2} \, \hbox {year}^{-1}$$\end{document}.
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