Al-Hayat (May 2022)

Decay Tree Detection in Bogor Botanic Gardens Collection Using Sonic Tomograph Technology

  • Rizmoon Nurul Zulkarnaen,
  • Dipta Sumeru Rinandio,
  • Muhammad Rifqi Hariri,
  • Prima Wahyu Kusuma Hutabarat,
  • irfan martiansyah,
  • fitri fatma wardani,
  • Mujahidin Mujahidin,
  • enggal Primananda,
  • Arief Noor Rachmadiyanto,
  • melza mulyani,
  • iin P.A Husaini,
  • dwi setyanti,
  • faozan indresputra,
  • Lutfi Rahmaningtiyas,
  • widya ayu pratiwi,
  • frisca damayanti,
  • lidya N. Endewip,
  • hendra helmanto,
  • agus suhatman,
  • dina safarinanugraha,
  • danang wahyu purnomo

DOI
https://doi.org/10.21580/ah.v5i1.7725
Journal volume & issue
Vol. 5, no. 1
pp. 55 – 66

Abstract

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Bogor Botanic Gardens is an ex-situ plant conservation area in Indonesia. Since BBG is 103 years old, many collections are 100 years old or older. These antique collections may sustain damage, such as broken or collapsing, endangering visitors and employees. As a result, monitoring tree health at BBG is a critical task. According to the tree health monitoring data, 73 of 244 trees were further checked using the PiCUS Sonic Tomograph. Trees from the Fabaceae (31%) and Myrtaceae (10%) families were the most frequently checked. Walnuts trees from the Burseraceae family had the most specimens (47,94%). The PST effectively provides an immediate picture of the stem condition by calculating solid and decaying wood percentage values.

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