Skip to content
naulon
Not checkedNot checked for notices yet.

Residual stand damage from selective logging of tropical forests: A comparative case study in central Kalimantan and West Sumatra, Indonesia

Juang Rata Matangaran, Erianto Indra Putra, Iis Diatin and 2 more

Global Ecology and Conservation · 2019

doi:10.1016/j.gecco.2019.e00688 (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

Selective logging in natural forests in Indonesia involves logging trees with a diameter at breast height (dbh) of >50 cm and leads to damage to residual stands. This research was conducted on forest concession areas in West Sumatra and Central Kalimantan to analyze residual stand damage. The type and percentage of damage were calculated at both locations by evaluating 10 plots of 1 ha at each site. All trees with a dbh of >20 cm were measured and classified before and after felling and skidding. The stand density and felling intensity were analyzed to determine the factors affecting the amount of damage. Results indicated six types of damages: broken stem, crown injury, fallen or uprooted trees, leaning, bark and stem injuries, and buttress injury. All six types of damages were found in Central Kalimantan, whereas five types of damages (except buttress injury) were found in West Sumatra. On comparing pre- and post-logging conditions, a higher percentage of damage was identified in Central Kalimantan (27.8%) than in West Sumatra (22.4%). The percentage of tree damage increased in line with the increasing felling intensity at both locations. It was concluded that a higher tree density and felling intensity resulted in a greater residual stand damage both in Central Kalimantan and West Sumatra. Keywords: Felling intensity, Logging, Stand damage, Tropical forest, Indonesia

Abstract licence: CC BY-NC

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.