129
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

Long-term carbon stock recovery in a neotropical-logged forest

, , , , , & show all
Pages 241-247 | Received 12 Jul 2018, Accepted 26 Feb 2019, Published online: 23 Apr 2019
 

Abstract

This article assesses the effect of different logging levels on loss of above-ground biomass and the contribution of different ecological groups of species in the long-term recovery of C stocks. A randomized complete blocks design was established in 1987 with three felling treatments: diameter above 20 cm, 40 cm and 60 cm. All the trees and palms bigger than 10 cm dbh were measured. The average stock in old growth forests was 84.3 t C/ha. Low- and medium-impact treatments led to C reductions in 10% and 44%, respectively; for low impact, a significant increase was detected after the 25-year measurements, which could be related to a possible CO2 fertilization effect. For high impact, 79% of C was lost, but the original level recovered after 20 years. The ecological succession process, subsequent to logging, is an efficient mechanism to restore C stocks.

Acknowledgments

The authors acknowledge the staff of the Caparo Experimental Station for their assistance during fieldwork.

Disclosure statement

No potential conflict of interest was reported by the authors.

Funding

This work was supported by Consejo de Desarrollo Científico y Humanístico – Universidad de Los Andes (project FO-713-12-01-B) and from FONACIT, Venezuela (project 2013001605).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 234.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.