Plant Diversity and Carbon Stocks in Urban Green Open Space (Case Study in PT. Gajah Tunggal Tbk., Tangerang, Banten)

Authors

  • Nur Muhammad Heriyanto Research Center for Ecology and Ethnobiology, National Research and Innovation Agency (BRIN)
  • Ismayadi Samsoedin Yayasan Sahabat Pohon Indonesia
  • Yanto Rochmayanto Directorate of Environment, Maritime, Natural Resources and Nuclear Policies, National Research and Innovation Agency (BRIN)

DOI:

https://doi.org/10.23960/jsl.v11i1.618

Abstract

Efforts to mitigate climate change, namely reducing greenhouse gas emissions, can be carried out, among others, by utilizing trees in urban areas, which have an important role as carbon sinks. In order to determine the potential of tree species in absorbing carbon, research was conducted in the green open space area of PT. Gajah Tunggal Tbk. in Tangerang, Banten Province. This study aimed to determine the potential of tree species in absorbing carbon by measuring the diameter and height of 150 plant species of 46 families, consisting of 8,636 tree stands and 5,254 bamboo stems. The average age of the tree is over 7 years. The results showed that the potential biomass, carbon content, and CO2 absorption of plants with a diameter of 2 cm were dominated by Eucalyptus deglupta, Roystonea regia, and Pterocarpus indicus. The total biomass, carbon content, and CO2 absorption of tree and bamboo species were 880.82 tons or 413.98 tons C, equivalent to 1,519.33 t.CO2-eq. This company’s CO2 emissions in 2020 amounted to 406,073.72 t.CO2-eq.

Keywords: Carbon stock, greenhouse gas, green open space, plant diversity

Downloads

Download data is not yet available.

Downloads

Published

10-01-2023

How to Cite

Heriyanto, N. M., Samsoedin, I. ., & Rochmayanto, Y. . (2023). Plant Diversity and Carbon Stocks in Urban Green Open Space (Case Study in PT. Gajah Tunggal Tbk., Tangerang, Banten). Jurnal Sylva Lestari, 11(1), 66–78. https://doi.org/10.23960/jsl.v11i1.618

Issue

Vol. 11 No. 1 (2023): January

Section

Articles

Statistics

 Abstract views: 515 times
 PDF downloaded: 646 times

Metrics

License

Copyright (c) 2023 Nur Muhammad Heriyanto, Ismayadi Samsoedin, Yanto Rochmayanto

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial 4.0 Licence that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).