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Kazi Nazrul Islam

Biographic Data

ID6705980
NAMEKazi Nazrul Islam
GIVEN NAMESKazi Nazrul
FAMILY NAMEIslam
SIGNATUREISLAM K N
AFFILIATIONSThe University of Tokyo
ORCID0000-0003-0222-5900
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS1
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2020
H-INDEX1
  • Allometric models for estimating aboveground biomass of selected homestead tree species in the plain land Narsingdi district of Bangladesh

    Open Access•Md Danesh Miah, Kazi Nazrul Islam et al.•ARTICLE•Trees Forests and People•2020

    Globally allometric equations based biomass estimation is a popular non-destructive method for estimating biomass and sequestered carbon. However, the destruction process is involved in the development of allometric models. This study developed allometric models of aboveground biomass (AGB) for five frequently planted homestead tree species in Bangladesh. The tree species were Aphanamixis polystachya, Ficus hispida, Mangifera indica, Melia azedar…

  • Impact of co-management on tree diversity and carbon sequestration in protected areas

    Open Access•Kazi Nazrul Islam, Mohammad Mahfuzur Rahman et al.•ARTICLE•Trees Forests and People•2020

    Forest Protected Area (PA) co-management, which integrates local communities in the forest management structures, was started in Bangladesh in 2004 to effectively manage and conserve forest resources. This study has investigated if the initiative has met its objectives. Using NDVI maps, we applied a stratified random sampling framework to identify sample plots. Phytosociological and carbon-sequestration data were collected from two co-managed PAs…

  • Analyzing multi-temporal satellite imagery and stakeholders' perceptions to have an insight into how forest co-management is changing the protected area landscapes in Bangladesh

    Open Access•Kazi Nazrul Islam, Mohammad Mahfuzur Rahman et al.•ARTICLE•Forest Policy and Economics•2019•Cited by: 1•References: 6

  • Analyzing multi-temporal satellite imagery and stakeholders' perceptions to have an insight into how forest co-management is changing the protected area landscapes in Bangladesh

    Open Access•Kazi Nazrul Islam, Mohammad Mahfuzur Rahman et al.•ARTICLE•Forest Policy and Economics•2019•Cited by: 1•References: 6

  • Analyzing multi-temporal satellite imagery and stakeholders' perceptions to have an insight into how forest co-management is changing the protected area landscapes in Bangladesh

    Open Access•Kazi Nazrul Islam, Mohammad Mahfuzur Rahman et al.•ARTICLE•Forest Policy and Economics•2019•Cited by: 1•References: 6

  • Allometric models for estimating aboveground biomass of selected homestead tree species in the plain land Narsingdi district of Bangladesh

    Open Access•Md Danesh Miah, Kazi Nazrul Islam et al.•ARTICLE•Trees Forests and People•2020

    Globally allometric equations based biomass estimation is a popular non-destructive method for estimating biomass and sequestered carbon. However, the destruction process is involved in the development of allometric models. This study developed allometric models of aboveground biomass (AGB) for five frequently planted homestead tree species in Bangladesh. The tree species were Aphanamixis polystachya, Ficus hispida, Mangifera indica, Melia azedar…

  • Impact of co-management on tree diversity and carbon sequestration in protected areas

    Open Access•Kazi Nazrul Islam, Mohammad Mahfuzur Rahman et al.•ARTICLE•Trees Forests and People•2020

    Forest Protected Area (PA) co-management, which integrates local communities in the forest management structures, was started in Bangladesh in 2004 to effectively manage and conserve forest resources. This study has investigated if the initiative has met its objectives. Using NDVI maps, we applied a stratified random sampling framework to identify sample plots. Phytosociological and carbon-sequestration data were collected from two co-managed PAs…

Conservation, Biodiversity, and Resource Management (3 works) · Ecology (3 works) · Forestry (3 works) · Geography (3 works) · Biology (2 works) · Environmental Science (2 works) · Forest management (2 works) · Land Use and Ecosystem Services (2 works) · Wildlife (2 works) · Agroforestry (1 work)

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