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ASSESSING THE HEALTH OF THE CHETTABA FOREST (ALGERIA)

Authors: Haddad Amar; Redjaimia L ilia; Kadi Zahia; Rached-Kanouni Malika; Kara Karima;

ASSESSING THE HEALTH OF THE CHETTABA FOREST (ALGERIA)

Abstract

The establishment and interpretation of diameter and height structures are essential for forest management decisions. This study aims to describe the diameter structure and spatial distribution of Pinus halpensis populations in the Chettaba state forest (Constantine, Algeria). The knowledge of these parameters is an essential step for their sustainable management. The diameter at 1.30 m from the ground and the total height of P. halpensis individuals were measured on 6 plots along an altitudinal gradient. The height structure shows that trees in the height classes between 5 and 10m have a very high density, indicating low natural regeneration. The total structure indicates that smaller trees are more abundant than larger trees (17.5<d≤27.5cm). These results contribute to the improvement of knowledge on current condition indicators of natural Pinus halpensis stands that can be used as a basis in the management of Chettaba forest

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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