603
Views
0
CrossRef citations to date
0
Altmetric
Articles

Assessing structure, species diversity, and carbon stocks across altitudinal gradients in Hugumbrda Grat-kahsu forest, Tigray, Ethiopia: Implications for ecosystem service management

, , , &
Pages 67-77 | Received 15 Sep 2023, Accepted 12 Dec 2023, Published online: 27 Dec 2023
 

Abstract

The study area, affected by war and siege, necessitates a study of its current ecological status. The objective of this study was to assess the present forest structure, species diversity, and Total Biomass Carbon Stock (TBCS) in relation to environmental variables. The findings shown 42 woody plant species, with 23 in the highland and 41 in the midland. No significant difference in species abundance is observed between the highland and midland areas. However, there are significant differences in the average diameter and height of trees between the altitudinal classes. Additionally, diversity indices shown significant difference, with the midland shown higher values than the highland. TBCS of the forest, the highland and midland areas were 21.02, 15.6, and 22.92 tons/ha, respectively. Moreover, TBCS shown significant contributions from tree diameter and height (p < 0.05) whereas species diversity, richness, and abundance do not shown a significant influence. This research further assesses factors influencing carbon stock, identifying annual mean temperature, soil organic content, temperature seasonality, and altitude as key contributors. Dominant species are limited, with around 50% classified as rare. Hence, our study suggests that the implementation of effective forest management practices aimed at enhancing biodiversity and ecosystem services.

Acknowledgement

We acknowledge to Dr. Florent Noulèkoun for his constructive comments during the development of this paper.

Ethics declarations

Availability of data and material: Data will be made available on request

Conflict of interest: The authors declare no conflict of interest

Author’s contribution

H.A. Data collection, conception and design, writing, data analysis, revising, final approval of the version.

S.D. Conception, writing, data analysis, revising, proofreading

V.O. Data analysis, interpretation of the findings, proofreading.

E.B. Data analysis, writing, proofreading

A.M. Data analysis, proof reading and revising

Additional information

Funding

Partnership for skills in Applied Sciences, Engineering and Technology (PASET)/Regional Scholarship and Innovation Fund (RSIF) supported the lead author to pursue this work as part of his PhD research.
We express our gratitude for the financial support from the Partnership for Skills in Applied Sciences, Engineering, and Technology (PASET)/Regional Scholarship and Innovation Fund (RSIF) to the lead author of this research. Their support has played a vital role in facilitating the research and the successful completion of his Ph.D.