Landscape‐Level Assessment of Topographic Influences on Organic Carbon Storage in Forests of Far Western Nepal

Carbon sequestration significantly aids in mitigating climate change, with its spatial distribution greatly influenced by topographical factors. However, data on organic carbon distribution and its interaction with topographic factors inside the forest of the Far Western Region of Nepal are limited. Therefore, this study aims to analyze forest carbon stock variation under different topographic variables (physiographic region, aspect, and slope) in Far-western Nepal. In this study, stratified systematic cluster sampling was adopted with elevation, aspect, and slope as strata. A total of 181 circular plots were used for dendrometric measurements and soil sample collection. Within each plot, diameter at breast height and height of each tree (diameter at breast height ≥ 5 cm) were measured for biomass carbon assessment. Composite soil samples (0-30 cm) from each soil pit within a plot were collected for determining soil organic carbon stock. Physiographic region-wise, our study reported the highest mean aboveground carbon (174.04 ± 29.75 ton ha<sup>-1</sup>) and belowground carbon (34.044 ± 5.95 ton ha<sup>-1</sup>) and soil organic carbon stock (150.62 ± 11.02 ton ha<sup>-1</sup>) in the Mountain and High Himal region. The East aspect exhibited the highest aboveground carbon (125.9 ± 22.34 ton ha<sup>-1</sup>) and belowground carbon (27.54 ± 3.44 ton ha<sup>-1</sup>) stocks, while the North aspect showed the highest soil organic carbon stock (96.85 ± 8.82 ton ha<sup>-1</sup>). Organic carbon stocks declined with steeper slopes, with the (0-10)° slope category recording the highest aboveground organic carbon (135.17 ± 17.87 ton ha<sup>-1</sup>), belowground carbon (27.03 ± 3.57 ton ha<sup>-1</sup>), and soil organic carbon (107.14 ± 12.51 ton ha<sup>-1</sup>) stocks. Conversely, the (30-40)° slope category exhibited the lowest organic carbon stocks across all pools. This study's findings will support accurate monitoring, reporting, and verification (MRV) processes for initiatives like reducing emissions from deforestation and forest degradation (REDD+) and enhance credibility on United National Framework Convention on Climate Change (UNFCCC) reporting on a national scale. The design and application of site-specific management activities to optimize organic carbon storage are recommended due to the observed variability of organic carbon stock with topographic factors.

Authors

Institutions

Publication Details

Journal
Plant-Environment Interactions
Published
2025-03-26
DOI
https://doi.org/10.1002/pei3.70039
Citations
5
Primary Topic
Soil Carbon and Nitrogen Dynamics
Type
article
Field-Weighted Citation Impact
5.93
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Landscape‐Level Assessment of Topographic Influences on Organic Carbon Storage in Forests of Far Western Nepal

Santosh GC, Tek B. Sapkota, Prakash Lamichhane, Gandhiv Kafle et al.
5 citations
Plant-Environment Interactions
Soil Carbon and Nitrogen Dynamics
5.93
article

Landscape‐Level Assessment of Topographic Influences on Organic Carbon Storage in Forests of Far Western Nepal

Santosh GC, Tek B. Sapkota, Prakash Lamichhane, Gandhiv Kafle, Santosh Ayer, Renuka Khamcha, Sandip Poudel, Amrita Bhusal, Aman Prabhakar, Janak Airee
article en
5 citations

Abstract

Carbon sequestration significantly aids in mitigating climate change, with its spatial distribution greatly influenced by topographical factors. However, data on organic carbon distribution and its interaction with topographic factors inside the forest of the Far Western Region of Nepal are limited. Therefore, this study aims to analyze forest carbon stock variation under different topographic variables (physiographic region, aspect, and slope) in Far-western Nepal. In this study, stratified systematic cluster sampling was adopted with elevation, aspect, and slope as strata. A total of 181 circular plots were used for dendrometric measurements and soil sample collection. Within each plot, diameter at breast height and height of each tree (diameter at breast height ≥ 5 cm) were measured for biomass carbon assessment. Composite soil samples (0-30 cm) from each soil pit within a plot were collected for determining soil organic carbon stock. Physiographic region-wise, our study reported the highest mean aboveground carbon (174.04 ± 29.75 ton ha<sup>-1</sup>) and belowground carbon (34.044 ± 5.95 ton ha<sup>-1</sup>) and soil organic carbon stock (150.62 ± 11.02 ton ha<sup>-1</sup>) in the Mountain and High Himal region. The East aspect exhibited the highest aboveground carbon (125.9 ± 22.34 ton ha<sup>-1</sup>) and belowground carbon (27.54 ± 3.44 ton ha<sup>-1</sup>) stocks, while the North aspect showed the highest soil organic carbon stock (96.85 ± 8.82 ton ha<sup>-1</sup>). Organic carbon stocks declined with steeper slopes, with the (0-10)° slope category recording the highest aboveground organic carbon (135.17 ± 17.87 ton ha<sup>-1</sup>), belowground carbon (27.03 ± 3.57 ton ha<sup>-1</sup>), and soil organic carbon (107.14 ± 12.51 ton ha<sup>-1</sup>) stocks. Conversely, the (30-40)° slope category exhibited the lowest organic carbon stocks across all pools. This study's findings will support accurate monitoring, reporting, and verification (MRV) processes for initiatives like reducing emissions from deforestation and forest degradation (REDD+) and enhance credibility on United National Framework Convention on Climate Change (UNFCCC) reporting on a national scale. The design and application of site-specific management activities to optimize organic carbon storage are recommended due to the observed variability of organic carbon stock with topographic factors.

Plant-Environment InteractionsVol. 6(2)
University of Alberta (CA), Agriculture and Forestry University (NP)
Life in Land
Openalex Percentile: Top 5%
Soil Carbon and Nitrogen Dynamics
5.93
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.